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01-15

$Meta Platforms, Inc.(META)$ Maybe meta will slip to 500

07-23

$S&P 500(.SPX)$ Sigh..they never learn their lesson

Alphabet Stock Falls 6% as Google Increases Capex Forecast Again After Cloud-Driven Quarterly Beat

08-02 21:47

Meta is clueless abt its AI investment

Wall Street Thinks it Knows How Tech Giants Will Make AI Pay

02-04

$Microsoft(MSFT)$ Those who short the stock are scrambling to cover their positions

2025-05-15

$Alibaba(BABA)$ Missed estimates by only 0.3% and selldown by 8%. Atrocious!!!

06-02

$Meta Platforms, Inc.(META)$ zuckerberg better buck up..else they may drop out from Mag 7 soon..

2025-05-15

$Alibaba(BABA)$ Earnings miss estimates?

2025-05-13

$Alibaba(BABA)$ Baba price movement appear sluggish..hope it is not due to upcoming poor earnings results

2025-05-29

$Alibaba(BABA)$ Now it is trading below Hk mkt..short selling to weed out weak buyers?

2025-05-04

$Alibaba(BABA)$ baba delisting again ?

Go to Tiger App to see more news

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is clueless abt its AI investment","listText":"Meta is clueless abt its AI investment","text":"Meta is clueless abt its AI investment","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/592494987977512","repostId":"2656318787","repostType":2,"repost":{"id":"2656318787","kind":"highlight","weMediaInfo":{"introduction":"Dow Jones publishes the world’s most trusted business news and financial information in a variety of media.","home_visible":0,"media_name":"Dow Jones","id":"106","head_image":"https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99"},"pubTimestamp":1785576600,"share":"https://ttm.financial/m/news/2656318787?lang=en_US&edition=fundamental","pubTime":"2026-08-01 17:30","market":"hk","language":"en","title":"Wall Street Thinks it Knows How Tech Giants Will Make AI Pay","url":"https://stock-news.laohu8.com/highlight/detail?id=2656318787","media":"Dow Jones","summary":"Investors have been fretting over how Big Tech is going to make a return on all its AI spending. Cloud computing increasingly looks like the answer.Amazon.com, Microsoft and Alphabet's Google all have","content":"<font class=\"NormalMinus1\" face=\"Arial\">\n<p>\n  Investors have been fretting over how Big Tech is going to make a return on all its AI spending. Cloud computing increasingly looks like the answer. \n</p>\n<p>\n  <a href=\"https://laohu8.com/S/AMZN\">Amazon</a>.com, Microsoft and Alphabet's Google all have cloud businesses that have grown rapidly during the AI boom. Customers including AI labs and large corporations have clamored to rent access to chips and computing equipment from them -- to such an extent that their ability to supply it is more of a limitation than demand. \n</p>\n<p>\n  And unlike a lot of the other avenues companies have proposed to reap returns from AI investments, from chatbot ad sales to subscriptions for access to AI models, cloud computing's financial model is relatively well understood. \n</p>\n<p>\n  The tech giants buy or lease buildings and computing gear, then rent it out via their cloud operations to recoup what they spent over a period of a few years. It is capital-intensive but can be highly profitable: Amazon's cloud unit, Amazon Web Services, on Thursday reported a 39% operating profit margin in the second quarter. \n</p>\n<p>\n  Amazon Chief Executive Andy Jassy tried to paint a picture of AWS as both predictable and extremely fast-growing. It takes less than three years on average to break even on purchases of computing equipment, he said, while most of its contracts with AI-computing customers are at least five years long. That leaves a lot of juice for Amazon to squeeze. \n</p>\n<p>\n  \"The resulting revenue, free cash flow and return on invested capital is very compelling,\" he said. \n</p>\n<p>\n  In the high-spending phase Amazon is going through now, it also means the company is free-cash-flow negative. Markets have been allergic to cash outflows in recent months amid concern about returns on hypsercalers' big investments. \n</p>\n<p>\n  But investors more recently seem to be coming around to the notion that Big Tech spending on AI can make sense -- as long as there is a cloud-computing business involved that can reap the benefits. \n</p>\n<p>\n  Amazon's stock surged on Friday after the company wowed Wall Street with 37% quarterly revenue growth for AWS, well above the roughly 31% analysts were projecting. Microsoft also got a massive stock-price boost after its results on Wednesday included a better-than-expected 43% revenue rise for its Azure cloud-computing unit. The two companies combined have added around $950 billion to their market values since reporting. \n</p>\n<p>\n  Google parent Alphabet's stock fell last week after it boosted capital spending for the year, but its cloud unit's 82% revenue growth has since tempered those concerns. The stock is up about 10% in the past week, more than recovering from its earlier losses. \n</p>\n<p>\n  AI is perhaps the most important driver of cloud-computing growth; companies and AI developers want more computing power, and it is easiest and often fastest to rent it in the cloud. Chunky deals with big customers are also helping inflate revenue and backlogs, like the more than $100 billion 10-year contract that AWS signed with Anthropic in April. \n</p>\n<p>\n  But there is also a shift predating the AI boom that has quietly persisted. Companies are moving more of their computing work to the cloud and using less of their own equipment. A Piper Sandler survey of IT leaders in June found they expected to boost spending by about 5% this year. Most planned to increase outlays on cloud computing, while relatively few plan to spend more on their own computing equipment. \n</p>\n<p>\n  Given those dual trends, it is a little easier to understand why Jassy suggested on Thursday that AWS could eventually grow into a $1 trillion annual revenue business, as outlandish as that figure may currently seem. Analysts expect AWS to grow to about $170 billion of revenue this year, according to FactSet. \n</p>\n<p>\n  Others are also looking to get a big piece of that expanding pie. Microsoft and Google's cloud businesses have grown faster than Amazon's for some time, to the point where they pose a legitimate threat to AWS's dominance of an industry it virtually invented two decades ago. If their growth stays above AWS's, it isn't hard to foresee them surpassing their larger competitor by the end of the decade. \n</p>\n<p>\n  Of course, none of those businesses would fare well if the AI bubble bursts. Should Anthropic, OpenAI and other big buyers of AI computing power falter, massive contracts would likely be reworked and backlogs would shrink. For cloud-computing giants, though, there is something of a reprieve: At least they could fall back on the tried-and-true business model that sustained them before AI. \n</p>\n<p>\n  That is more than can be said for other AI players without cloud businesses, perhaps most prominently <a href=\"https://laohu8.com/S/META\">Meta Platforms</a>. The social-media giant's stock is down about 5% since its earnings on Wednesday included a slight increase in the midpoint of its 2026 capital-spending range. \n</p>\n<p>\n  CEO Mark Zuckerberg said Wednesday that Meta is looking at starting a cloud-computing business of its own, but it would start far behind the three giants of the industry. \n</p>\n<p>\n  In sorting AI winners from losers, Wall Street has settled on a key differentiator. \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n</font>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Wall Street Thinks it Knows How Tech Giants Will Make AI Pay</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nWall Street Thinks it Knows How Tech Giants Will Make AI Pay\n</h2>\n\n<h4 class=\"meta\">\n\n\n<div class=\"head\" \">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Dow Jones </p>\n<p class=\"h-time\">2026-08-01 17:30</p>\n</div>\n\n</div>\n\n\n</h4>\n\n</header>\n<article>\n<font class=\"NormalMinus1\" face=\"Arial\">\n<p>\n  Investors have been fretting over how Big Tech is going to make a return on all its AI spending. Cloud computing increasingly looks like the answer. \n</p>\n<p>\n  <a href=\"https://laohu8.com/S/AMZN\">Amazon</a>.com, Microsoft and Alphabet's Google all have cloud businesses that have grown rapidly during the AI boom. Customers including AI labs and large corporations have clamored to rent access to chips and computing equipment from them -- to such an extent that their ability to supply it is more of a limitation than demand. \n</p>\n<p>\n  And unlike a lot of the other avenues companies have proposed to reap returns from AI investments, from chatbot ad sales to subscriptions for access to AI models, cloud computing's financial model is relatively well understood. \n</p>\n<p>\n  The tech giants buy or lease buildings and computing gear, then rent it out via their cloud operations to recoup what they spent over a period of a few years. It is capital-intensive but can be highly profitable: Amazon's cloud unit, Amazon Web Services, on Thursday reported a 39% operating profit margin in the second quarter. \n</p>\n<p>\n  Amazon Chief Executive Andy Jassy tried to paint a picture of AWS as both predictable and extremely fast-growing. It takes less than three years on average to break even on purchases of computing equipment, he said, while most of its contracts with AI-computing customers are at least five years long. That leaves a lot of juice for Amazon to squeeze. \n</p>\n<p>\n  \"The resulting revenue, free cash flow and return on invested capital is very compelling,\" he said. \n</p>\n<p>\n  In the high-spending phase Amazon is going through now, it also means the company is free-cash-flow negative. Markets have been allergic to cash outflows in recent months amid concern about returns on hypsercalers' big investments. \n</p>\n<p>\n  But investors more recently seem to be coming around to the notion that Big Tech spending on AI can make sense -- as long as there is a cloud-computing business involved that can reap the benefits. \n</p>\n<p>\n  Amazon's stock surged on Friday after the company wowed Wall Street with 37% quarterly revenue growth for AWS, well above the roughly 31% analysts were projecting. Microsoft also got a massive stock-price boost after its results on Wednesday included a better-than-expected 43% revenue rise for its Azure cloud-computing unit. The two companies combined have added around $950 billion to their market values since reporting. \n</p>\n<p>\n  Google parent Alphabet's stock fell last week after it boosted capital spending for the year, but its cloud unit's 82% revenue growth has since tempered those concerns. The stock is up about 10% in the past week, more than recovering from its earlier losses. \n</p>\n<p>\n  AI is perhaps the most important driver of cloud-computing growth; companies and AI developers want more computing power, and it is easiest and often fastest to rent it in the cloud. Chunky deals with big customers are also helping inflate revenue and backlogs, like the more than $100 billion 10-year contract that AWS signed with Anthropic in April. \n</p>\n<p>\n  But there is also a shift predating the AI boom that has quietly persisted. Companies are moving more of their computing work to the cloud and using less of their own equipment. A Piper Sandler survey of IT leaders in June found they expected to boost spending by about 5% this year. Most planned to increase outlays on cloud computing, while relatively few plan to spend more on their own computing equipment. \n</p>\n<p>\n  Given those dual trends, it is a little easier to understand why Jassy suggested on Thursday that AWS could eventually grow into a $1 trillion annual revenue business, as outlandish as that figure may currently seem. Analysts expect AWS to grow to about $170 billion of revenue this year, according to FactSet. \n</p>\n<p>\n  Others are also looking to get a big piece of that expanding pie. Microsoft and Google's cloud businesses have grown faster than Amazon's for some time, to the point where they pose a legitimate threat to AWS's dominance of an industry it virtually invented two decades ago. If their growth stays above AWS's, it isn't hard to foresee them surpassing their larger competitor by the end of the decade. \n</p>\n<p>\n  Of course, none of those businesses would fare well if the AI bubble bursts. Should Anthropic, OpenAI and other big buyers of AI computing power falter, massive contracts would likely be reworked and backlogs would shrink. For cloud-computing giants, though, there is something of a reprieve: At least they could fall back on the tried-and-true business model that sustained them before AI. \n</p>\n<p>\n  That is more than can be said for other AI players without cloud businesses, perhaps most prominently <a href=\"https://laohu8.com/S/META\">Meta Platforms</a>. The social-media giant's stock is down about 5% since its earnings on Wednesday included a slight increase in the midpoint of its 2026 capital-spending range. \n</p>\n<p>\n  CEO Mark Zuckerberg said Wednesday that Meta is looking at starting a cloud-computing business of its own, but it would start far behind the three giants of the industry. \n</p>\n<p>\n  In sorting AI winners from losers, Wall Street has settled on a key differentiator. \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n</font>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU1699723380.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"AP\" (USD) ACC","LU0553294199.USD":"BGF GLOBAL EQUITY INCOME \"A5G\" (USD) INC","LU1923622614.USD":"Natixis Thematics Meta R/A USD","LU2413666426.HKD":"BNP PARIBAS GLOBAL ENVIRONMENT \"C\" (HKD) ACC","LU0823411888.USD":"法巴消费创新基金 Cap","SG9999014542.SGD":"United Income Focus Trust Acc SGD","FBL":"2倍做多META ETF-GraniteShares","IE00B19Z3B42.SGD":"Legg Mason ClearBridge - 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Cloud computing increasingly looks like the answer. \n\n\nAmazon.com, Microsoft and Alphabet's Google all have cloud businesses that have grown rapidly during the AI boom. Customers including AI labs and large corporations have clamored to rent access to chips and computing equipment from them -- to such an extent that their ability to supply it is more of a limitation than demand. \n\n\n  And unlike a lot of the other avenues companies have proposed to reap returns from AI investments, from chatbot ad sales to subscriptions for access to AI models, cloud computing's financial model is relatively well understood. \n\n\n  The tech giants buy or lease buildings and computing gear, then rent it out via their cloud operations to recoup what they spent over a period of a few years. It is capital-intensive but can be highly profitable: Amazon's cloud unit, Amazon Web Services, on Thursday reported a 39% operating profit margin in the second quarter. \n\n\n  Amazon Chief Executive Andy Jassy tried to paint a picture of AWS as both predictable and extremely fast-growing. It takes less than three years on average to break even on purchases of computing equipment, he said, while most of its contracts with AI-computing customers are at least five years long. That leaves a lot of juice for Amazon to squeeze. \n\n\n  \"The resulting revenue, free cash flow and return on invested capital is very compelling,\" he said. \n\n\n  In the high-spending phase Amazon is going through now, it also means the company is free-cash-flow negative. Markets have been allergic to cash outflows in recent months amid concern about returns on hypsercalers' big investments. \n\n\n  But investors more recently seem to be coming around to the notion that Big Tech spending on AI can make sense -- as long as there is a cloud-computing business involved that can reap the benefits. \n\n\n  Amazon's stock surged on Friday after the company wowed Wall Street with 37% quarterly revenue growth for AWS, well above the roughly 31% analysts were projecting. Microsoft also got a massive stock-price boost after its results on Wednesday included a better-than-expected 43% revenue rise for its Azure cloud-computing unit. The two companies combined have added around $950 billion to their market values since reporting. \n\n\n  Google parent Alphabet's stock fell last week after it boosted capital spending for the year, but its cloud unit's 82% revenue growth has since tempered those concerns. The stock is up about 10% in the past week, more than recovering from its earlier losses. \n\n\n  AI is perhaps the most important driver of cloud-computing growth; companies and AI developers want more computing power, and it is easiest and often fastest to rent it in the cloud. Chunky deals with big customers are also helping inflate revenue and backlogs, like the more than $100 billion 10-year contract that AWS signed with Anthropic in April. \n\n\n  But there is also a shift predating the AI boom that has quietly persisted. Companies are moving more of their computing work to the cloud and using less of their own equipment. A Piper Sandler survey of IT leaders in June found they expected to boost spending by about 5% this year. Most planned to increase outlays on cloud computing, while relatively few plan to spend more on their own computing equipment. \n\n\n  Given those dual trends, it is a little easier to understand why Jassy suggested on Thursday that AWS could eventually grow into a $1 trillion annual revenue business, as outlandish as that figure may currently seem. Analysts expect AWS to grow to about $170 billion of revenue this year, according to FactSet. \n\n\n  Others are also looking to get a big piece of that expanding pie. Microsoft and Google's cloud businesses have grown faster than Amazon's for some time, to the point where they pose a legitimate threat to AWS's dominance of an industry it virtually invented two decades ago. If their growth stays above AWS's, it isn't hard to foresee them surpassing their larger competitor by the end of the decade. \n\n\n  Of course, none of those businesses would fare well if the AI bubble bursts. Should Anthropic, OpenAI and other big buyers of AI computing power falter, massive contracts would likely be reworked and backlogs would shrink. For cloud-computing giants, though, there is something of a reprieve: At least they could fall back on the tried-and-true business model that sustained them before AI. \n\n\n  That is more than can be said for other AI players without cloud businesses, perhaps most prominently Meta Platforms. The social-media giant's stock is down about 5% since its earnings on Wednesday included a slight increase in the midpoint of its 2026 capital-spending range. \n\n\n  CEO Mark Zuckerberg said Wednesday that Meta is looking at starting a cloud-computing business of its own, but it would start far behind the three giants of the industry. \n\n\n  In sorting AI winners from losers, Wall Street has settled on a key differentiator.","news_type":1,"symbols_score_info":{"GGLS":0.6,"GOOGL":1.83,"GOU":0.6,"RSPC":0.6,"VOX":0.6,"AMZY":0.6,"IXN":0.6,"AZYY":0.6,"USAW.SI":0.6,"FBL":0.6,"AMZU":0.6,"META":1.82,"EFIV":0.6,"AMZZ":0.6,"GOOY":0.6,"NULC":0.6,"MSFW":0.6,"WANT":0.6,"XLK":0.6,"VGT":0.6,"MSFO":0.6,"METV":0.6,"MSFY":0.6,"OGIG":0.6,"AMZD":0.6,"METD":0.6,"GOOX":0.6,"MSFL":0.6,"AMZW":0.6,"AMZP":0.6,"TRUC":0.6,"MSFU":0.6,"GOOP":0.6,"MSFT":1.88,"RTH":0.6,"ROM":0.6,"HULL":0.6,"GGLL":0.6,"GAMR":0.6,"CQTM":0.6,"TDIV":0.6,"ILDR":0.6,"GXPC":0.6,"LTL":0.6,"XLC":0.6,"SNPE":0.6,"XDAT":0.6,"TTXU":0.6,"MSFD":0.6,"ONLN":0.6,"FCOM":0.6,"SKYY":0.6,"METW":0.6,"MSFX":0.6,"IGV":0.6,"AMZN":1.97,"CMAG":0.6,"METU":0.6,"GOOW":0.6,"FBY":0.6,"TYLG":0.6,"SPTE":0.6,"FTEC":0.6,"SOCL":0.6,"CLIX":0.6,"CNEQ":0.6,"FBYY":0.6}},"isVote":1,"tweetType":1,"viewCount":83,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":591389800309848,"gmtCreate":1785413385798,"gmtModify":1785415027557,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"one is a genius while the other is an idiot","listText":"one is a genius while the other is an idiot","text":"one is a genius while the other is an idiot","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/591389800309848","isVote":1,"tweetType":1,"viewCount":375,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":591025280540760,"gmtCreate":1785321820818,"gmtModify":1785321823802,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"If meta price can reach $650 tomorrow, will already be a remarkable feat.","listText":"If meta price can reach $650 tomorrow, will already be a remarkable feat.","text":"If meta price can reach $650 tomorrow, will already be a remarkable feat.","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/591025280540760","repostId":"2655866353","repostType":2,"repost":{"id":"2655866353","kind":"highlight","weMediaInfo":{"introduction":"Stock Market Quotes, Business News, Financial News, Trading Ideas, and Stock Research by Professionals","home_visible":0,"media_name":"Benzinga Earnings","id":"1052270027","head_image":"https://static.tigerbbs.com/d08bf7808052c0ca9deb4e944cae32aa"},"pubTimestamp":1785319398,"share":"https://ttm.financial/m/news/2655866353?lang=en_US&edition=fundamental","pubTime":"2026-07-29 18:03","market":"us","language":"en","title":"Top Wall Street Forecasters Revamp Meta Expectations Ahead Of Q2 Earnings","url":"https://stock-news.laohu8.com/highlight/detail?id=2655866353","media":"Benzinga Earnings","summary":"Meta Platforms, Inc (NASDAQ: META) will report Q2 earnings on July 29. Analysts predict $7.23 EPS and $59.50B revenue. Stock fell 0.1% to $593.41 on Tuesday. Analysts maintain Buy ratings with price targets up to $1,000.","content":"<html><body><p><strong><a href=\"https://laohu8.com/S/META\">Meta Platforms</a>, Inc</strong>. (NASDAQ:META) will release its second quarter earnings report after the closing bell on Wednesday, July 29.</p>\n<p>Analysts expect the Menlo Park, California-based company to report quarterly earnings of $7.23 per share. The consensus estimate for Meta’s quarterly revenue is $59.50 billion. It reported $47.52 billion last year, according to Benzinga Pro.</p>\n<p>Meta has topped revenue estimates for 15 consecutive quarters and beaten EPS expectations in 13 straight.</p>\n<p>Shares of Meta fell 0.1% to close at $593.41 on Tuesday.</p>\n<p>Benzinga readers can access the latest analyst ratings on the Analyst Stock Ratings page. Readers can sort by stock ticker, company name, analyst firm, rating change or other variables.</p>\n<p>Let’s have a look at how Benzinga’s most-accurate analysts have rated the company in the recent period.</p>\n<ul>\n<li>Guggenheim analyst Michael Morris maintained a Buy rating with a price target of $800 on July 28, 2026. This analyst has an accuracy rate of 67%.</li>\n<li>Raymond James analyst Josh Beck maintained a Strong Buy rating and raised the price target from $825 to $850 on July 21, 2026. This analyst has an accuracy rate of 76%.</li>\n<li><a href=\"https://laohu8.com/S/EOD\">Wells Fargo</a> analyst Ken Gawrelski maintained an Overweight rating and raised the price target from $767 to $835 on July 21, 2026. This analyst has an accuracy rate of 57%.</li>\n<li>Rothschild &amp; Co analyst Dominic Ball maintained the stock with a Buy rating and boosted the price target from $900 to $1,000 on July 21, 2026. This analyst has an accuracy rate of 58%.</li>\n<li>UBS analyst Stephen Ju maintained the stock with a Buy rating and cut the price target from $865 to $766 on July 13, 2026. This analyst has an accuracy rate of 74%</li>\n</ul>\n<p>Considering buying META stock? Here’s what analysts think:</p>\n<figure><img decoding=\"async\" height=\"313\" loading=\"lazy\" sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-1024x313.png\" srcset=\"https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-1024x313.png 1024w, https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-300x92.png 300w, https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-768x235.png 768w, https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828.png 1167w\" width=\"1024\"/></figure>\n<p>Photo via Shhutterstock</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Top Wall Street Forecasters Revamp Meta Expectations Ahead Of Q2 Earnings</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nTop Wall Street Forecasters Revamp Meta Expectations Ahead Of Q2 Earnings\n</h2>\n\n<h4 class=\"meta\">\n\n\n<div class=\"head\" \">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/d08bf7808052c0ca9deb4e944cae32aa);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Benzinga Earnings </p>\n<p class=\"h-time\">2026-07-29 18:03</p>\n</div>\n\n</div>\n\n\n</h4>\n\n</header>\n<article>\n<html><body><p><strong><a href=\"https://laohu8.com/S/META\">Meta Platforms</a>, Inc</strong>. (NASDAQ:META) will release its second quarter earnings report after the closing bell on Wednesday, July 29.</p>\n<p>Analysts expect the Menlo Park, California-based company to report quarterly earnings of $7.23 per share. The consensus estimate for Meta’s quarterly revenue is $59.50 billion. It reported $47.52 billion last year, according to Benzinga Pro.</p>\n<p>Meta has topped revenue estimates for 15 consecutive quarters and beaten EPS expectations in 13 straight.</p>\n<p>Shares of Meta fell 0.1% to close at $593.41 on Tuesday.</p>\n<p>Benzinga readers can access the latest analyst ratings on the Analyst Stock Ratings page. Readers can sort by stock ticker, company name, analyst firm, rating change or other variables.</p>\n<p>Let’s have a look at how Benzinga’s most-accurate analysts have rated the company in the recent period.</p>\n<ul>\n<li>Guggenheim analyst Michael Morris maintained a Buy rating with a price target of $800 on July 28, 2026. This analyst has an accuracy rate of 67%.</li>\n<li>Raymond James analyst Josh Beck maintained a Strong Buy rating and raised the price target from $825 to $850 on July 21, 2026. This analyst has an accuracy rate of 76%.</li>\n<li><a href=\"https://laohu8.com/S/EOD\">Wells Fargo</a> analyst Ken Gawrelski maintained an Overweight rating and raised the price target from $767 to $835 on July 21, 2026. This analyst has an accuracy rate of 57%.</li>\n<li>Rothschild &amp; Co analyst Dominic Ball maintained the stock with a Buy rating and boosted the price target from $900 to $1,000 on July 21, 2026. This analyst has an accuracy rate of 58%.</li>\n<li>UBS analyst Stephen Ju maintained the stock with a Buy rating and cut the price target from $865 to $766 on July 13, 2026. This analyst has an accuracy rate of 74%</li>\n</ul>\n<p>Considering buying META stock? Here’s what analysts think:</p>\n<figure><img decoding=\"async\" height=\"313\" loading=\"lazy\" sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-1024x313.png\" srcset=\"https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-1024x313.png 1024w, https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-300x92.png 300w, https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828-768x235.png 768w, https://editorial-assets.benzinga.com/wp-content/uploads/2026/07/29025251/image-828.png 1167w\" width=\"1024\"/></figure>\n<p>Photo via Shhutterstock</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"IE000F7OJYX1.SGD":"RQI GLOBAL \"I\" (SGDHDG) INC","IE00BMPRXN33.USD":"NEUBERGER BERMAN 5G CONNECTIVITY \"A\" (USD) ACC","SG9999015952.SGD":"LIONGLOBAL DISRUPTIVE INNOVATION \"I\" (SGD) ACC","LU1548497426.USD":"安联环球人工智能AT Acc","IE0000B7K699.USD":"RQI GLOBAL \"I\" (USD) INC","LU1429558221.USD":"Natixis Loomis Sayles US Growth Equity RA USD","LU2317271919.USD":"BGF FUTURE CONSUMER \"A2\" (USD) ACC","LU1435385759.SGD":"Natixis Loomis Sayles US Growth Equity RA SGD-H","IE000BZT7R73.USD":"RQI GLOBAL \"I\" (USD) ACC","LU2264538146.SGD":"Fullerton Lux Funds - 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(NASDAQ:META) will release its second quarter earnings report after the closing bell on Wednesday, July 29.\nAnalysts expect the Menlo Park, California-based company to report quarterly earnings of $7.23 per share. The consensus estimate for Meta’s quarterly revenue is $59.50 billion. It reported $47.52 billion last year, according to Benzinga Pro.\nMeta has topped revenue estimates for 15 consecutive quarters and beaten EPS expectations in 13 straight.\nShares of Meta fell 0.1% to close at $593.41 on Tuesday.\nBenzinga readers can access the latest analyst ratings on the Analyst Stock Ratings page. Readers can sort by stock ticker, company name, analyst firm, rating change or other variables.\nLet’s have a look at how Benzinga’s most-accurate analysts have rated the company in the recent period.\n\nGuggenheim analyst Michael Morris maintained a Buy rating with a price target of $800 on July 28, 2026. This analyst has an accuracy rate of 67%.\nRaymond James analyst Josh Beck maintained a Strong Buy rating and raised the price target from $825 to $850 on July 21, 2026. This analyst has an accuracy rate of 76%.\nWells Fargo analyst Ken Gawrelski maintained an Overweight rating and raised the price target from $767 to $835 on July 21, 2026. This analyst has an accuracy rate of 57%.\nRothschild & Co analyst Dominic Ball maintained the stock with a Buy rating and boosted the price target from $900 to $1,000 on July 21, 2026. This analyst has an accuracy rate of 58%.\nUBS analyst Stephen Ju maintained the stock with a Buy rating and cut the price target from $865 to $766 on July 13, 2026. This analyst has an accuracy rate of 74%\n\nConsidering buying META stock? Here’s what analysts think:\n\nPhoto via Shhutterstock","news_type":1,"symbols_score_info":{"FBY":0.6,"RSPC":0.6,"FBL":0.6,"METV":0.6,"FCOM":0.6,"FBYY":0.6,"OGIG":0.6,"META":1.98,"VOX":0.6,"GAMR":0.6,"TRUC":0.6,"NULC":0.6,"XLC":0.6,"GXPC":0.6,"METW":0.6,"METD":0.6,"LTL":0.6,"METU":0.6,"XDAT":0.6}},"isVote":1,"tweetType":1,"viewCount":240,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":588942691509248,"gmtCreate":1784814943746,"gmtModify":1784814946769,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/.SPX\">$S&amp;P 500(.SPX)$&nbsp;</a> Sigh..they never learn their lesson","listText":"<a href=\"https://ttm.financial/S/.SPX\">$S&amp;P 500(.SPX)$&nbsp;</a> Sigh..they never learn their lesson","text":"$S&P 500(.SPX)$ Sigh..they never learn their lesson","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/588942691509248","repostId":"2653938577","repostType":2,"repost":{"id":"2653938577","kind":"highlight","weMediaInfo":{"introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"media_name":"Reuters","id":"1032215980","head_image":"https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48"},"pubTimestamp":1784814086,"share":"https://ttm.financial/m/news/2653938577?lang=en_US&edition=fundamental","pubTime":"2026-07-23 21:41","market":"us","language":"en","title":"Alphabet Stock Falls 6% as Google Increases Capex Forecast Again After Cloud-Driven Quarterly Beat","url":"https://stock-news.laohu8.com/highlight/detail?id=2653938577","media":"Reuters","summary":"Alphabet's Q2 revenue beats estimates on Cloud, Search strengthOverviewU.S. search and cloud giant's Q2 revenue rose 24% yr/yr, beating analyst expectationsEPS surged 294% to $9.11, driven by net unre","content":"<html><head></head><body><p style=\"text-align: left;\">Alphabet on Wednesday reported its best-ever quarter of growth for its cloud computing division, but faced investor scrutiny after concerns about continued delays to its flagship AI model were aggravated by a $15 billion increase in capital spending ‌plans for 2026.</p><p style=\"text-align: left;\">The search giant now expects to spend between $195 billion and $205 billion in capital expenditures, its finance chief Anat Ashkenazi said on a conference call with analysts. The company said last quarter that it planned to spend between $180 billion and $190 billion this year.</p><p style=\"text-align: left;\">Shares of the company were down about 6%.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/5d948a7ee9a27c86fc3e8199258df0b3\" data-align=\"center\" tg-width=\"696\" tg-height=\"618\"/><span></span></p><p style=\"text-align: left;\">&#34;We have increased our capacity quite significantly over the past three years. The demand still outpaces that investment,&#34; Ashkenazi said in justifying the increased spending plans. She added that faster-than-expected delivery of capacity contributed to the hike.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/375e589011816344c05577507ffc54b8\" data-align=\"center\" tg-width=\"1080\" tg-height=\"1080\"/><span></span></p><p style=\"text-align: left;\">Revenue at Google Cloud rose 82% to $24.8 billion during the quarter ended June, driven by strong demand from ⁠AI-hungry enterprises worldwide. Analysts on average expected a 64% increase, according to data compiled by LSEG.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/ee0a4a0308f899563e8def6ae5619caa\" data-align=\"center\" tg-width=\"731\" tg-height=\"463\"/><span></span></p><p style=\"text-align: left;\">Advertising revenue came in at $81.6 billion compared to estimates of $81.1 billion. Total revenue for the quarter was $119.8 billion, beating the consensus estimate of $116.9 billion.</p><p style=\"text-align: left;\">But, adjusted profit per share of $2.85 fell slightly short of Wall Street projections of $2.89. And the company reported negative free cash flow for the first time in its history, burning $5.9 billion this quarter.</p><p style=\"text-align: left;\">&#34;After a negative cash flow quarter, the new raise in capex does not sit well for Alphabet,&#34; said Thomas Monteiro, senior analyst at Investing.com. &#34;The market&#39;s most reliable cash generators are now spending more than they bring in. As long as revenue keeps accelerating, investors will tolerate it. But capital has a real cost again, and the room for error is shrinking every quarter.&#34;</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/e427ed38fd5a5e5abc26a3ea5aa014ca\" data-align=\"center\" tg-width=\"735\" tg-height=\"483\"/><span></span></p><h4 style=\"text-align: left;\"><strong>MODEL UNCERTAINTY TEMPERS CLOUD GAINS</strong></h4><p style=\"text-align: left;\">While Google Cloud has made Alphabet a big beneficiary of the AI boom, the company&#39;s own AI efforts have lost some steam this year after it <u>delayed</u> the June launch of its next flagship model, Gemini 3.5 Pro.</p><p style=\"text-align: left;\">That has left Google trailing in the AI coding tools market and fueled concerns on Wall Street, especially as Anthropic and OpenAI have ‌consistently rolled ⁠out enterprise-focused upgrades, and Chinese open-source models have also gained strong traction.</p><p style=\"text-align: left;\">During the question-and-answer portion of the earnings call, multiple analysts pressed CEO Sundar Pichai for clarity around whether Google could keep with its rivals at the frontier of model development.</p><p style=\"text-align: left;\">&#34;There are many attributes on which we are still at the frontier. There are areas where we&#39;ve acknowledged we need to improve; coding and agentic coding is an example of that,&#34; Pichai said on the call.</p><p style=\"text-align: left;\">Pichai said that while Google continued to test Gemini 3.5 Pro, it had also started training Gemini 4 and was &#34;applying a lot of our compute and effort in that direction&#34; in order to ⁠remain competitive.</p><p style=\"text-align: left;\">&#34;We are both very committed and very confident of being at the frontier for the next generation,&#34; he said.</p><p style=\"text-align: left;\">Meanwhile, Google began recognizing revenue from direct sales of its TPU chips, which compete with Nvidia&#39;s GPUs, for the first time in the second quarter though the vast majority of revenue from business agreements would come through next year, Ashkenazi said.</p><p style=\"text-align: left;\">The third-largest cloud services provider behind Amazon Web Services and Microsoft, Google has seen ⁠demand surge as companies race to secure the cloud capacity needed to develop, train and run AI models, helping it land major deals with firms, including Anthropic.</p><p style=\"text-align: left;\">Big Tech is expected to spend well over $700 billion this year primarily on AI, while Morgan Stanley has pegged the estimated spend at more than $1 trillion for the next year.</p><p style=\"text-align: left;\">Ashkenazi reaffirmed on the call that Alphabet planned another significant ⁠increase to capex in 2027.</p><p style=\"text-align: left;\">Alphabet shares have been among the best performers in the &#34;Magnificent 7&#34; group of stocks this year so far, rising more than 9% through last close. But concerns over the Gemini delays, some high-profile executive departures and regulatory pressures have dragged the stock about 9% lower since the end of April.<br/></p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Alphabet Stock Falls 6% as Google Increases Capex Forecast Again After Cloud-Driven Quarterly Beat</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nAlphabet Stock Falls 6% as Google Increases Capex Forecast Again After Cloud-Driven Quarterly Beat\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1032215980\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2026-07-23 21:41</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p style=\"text-align: left;\">Alphabet on Wednesday reported its best-ever quarter of growth for its cloud computing division, but faced investor scrutiny after concerns about continued delays to its flagship AI model were aggravated by a $15 billion increase in capital spending ‌plans for 2026.</p><p style=\"text-align: left;\">The search giant now expects to spend between $195 billion and $205 billion in capital expenditures, its finance chief Anat Ashkenazi said on a conference call with analysts. The company said last quarter that it planned to spend between $180 billion and $190 billion this year.</p><p style=\"text-align: left;\">Shares of the company were down about 6%.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/5d948a7ee9a27c86fc3e8199258df0b3\" data-align=\"center\" tg-width=\"696\" tg-height=\"618\"/><span></span></p><p style=\"text-align: left;\">&#34;We have increased our capacity quite significantly over the past three years. The demand still outpaces that investment,&#34; Ashkenazi said in justifying the increased spending plans. She added that faster-than-expected delivery of capacity contributed to the hike.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/375e589011816344c05577507ffc54b8\" data-align=\"center\" tg-width=\"1080\" tg-height=\"1080\"/><span></span></p><p style=\"text-align: left;\">Revenue at Google Cloud rose 82% to $24.8 billion during the quarter ended June, driven by strong demand from ⁠AI-hungry enterprises worldwide. Analysts on average expected a 64% increase, according to data compiled by LSEG.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/ee0a4a0308f899563e8def6ae5619caa\" data-align=\"center\" tg-width=\"731\" tg-height=\"463\"/><span></span></p><p style=\"text-align: left;\">Advertising revenue came in at $81.6 billion compared to estimates of $81.1 billion. Total revenue for the quarter was $119.8 billion, beating the consensus estimate of $116.9 billion.</p><p style=\"text-align: left;\">But, adjusted profit per share of $2.85 fell slightly short of Wall Street projections of $2.89. And the company reported negative free cash flow for the first time in its history, burning $5.9 billion this quarter.</p><p style=\"text-align: left;\">&#34;After a negative cash flow quarter, the new raise in capex does not sit well for Alphabet,&#34; said Thomas Monteiro, senior analyst at Investing.com. &#34;The market&#39;s most reliable cash generators are now spending more than they bring in. As long as revenue keeps accelerating, investors will tolerate it. But capital has a real cost again, and the room for error is shrinking every quarter.&#34;</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/e427ed38fd5a5e5abc26a3ea5aa014ca\" data-align=\"center\" tg-width=\"735\" tg-height=\"483\"/><span></span></p><h4 style=\"text-align: left;\"><strong>MODEL UNCERTAINTY TEMPERS CLOUD GAINS</strong></h4><p style=\"text-align: left;\">While Google Cloud has made Alphabet a big beneficiary of the AI boom, the company&#39;s own AI efforts have lost some steam this year after it <u>delayed</u> the June launch of its next flagship model, Gemini 3.5 Pro.</p><p style=\"text-align: left;\">That has left Google trailing in the AI coding tools market and fueled concerns on Wall Street, especially as Anthropic and OpenAI have ‌consistently rolled ⁠out enterprise-focused upgrades, and Chinese open-source models have also gained strong traction.</p><p style=\"text-align: left;\">During the question-and-answer portion of the earnings call, multiple analysts pressed CEO Sundar Pichai for clarity around whether Google could keep with its rivals at the frontier of model development.</p><p style=\"text-align: left;\">&#34;There are many attributes on which we are still at the frontier. There are areas where we&#39;ve acknowledged we need to improve; coding and agentic coding is an example of that,&#34; Pichai said on the call.</p><p style=\"text-align: left;\">Pichai said that while Google continued to test Gemini 3.5 Pro, it had also started training Gemini 4 and was &#34;applying a lot of our compute and effort in that direction&#34; in order to ⁠remain competitive.</p><p style=\"text-align: left;\">&#34;We are both very committed and very confident of being at the frontier for the next generation,&#34; he said.</p><p style=\"text-align: left;\">Meanwhile, Google began recognizing revenue from direct sales of its TPU chips, which compete with Nvidia&#39;s GPUs, for the first time in the second quarter though the vast majority of revenue from business agreements would come through next year, Ashkenazi said.</p><p style=\"text-align: left;\">The third-largest cloud services provider behind Amazon Web Services and Microsoft, Google has seen ⁠demand surge as companies race to secure the cloud capacity needed to develop, train and run AI models, helping it land major deals with firms, including Anthropic.</p><p style=\"text-align: left;\">Big Tech is expected to spend well over $700 billion this year primarily on AI, while Morgan Stanley has pegged the estimated spend at more than $1 trillion for the next year.</p><p style=\"text-align: left;\">Ashkenazi reaffirmed on the call that Alphabet planned another significant ⁠increase to capex in 2027.</p><p style=\"text-align: left;\">Alphabet shares have been among the best performers in the &#34;Magnificent 7&#34; group of stocks this year so far, rising more than 9% through last close. But concerns over the Gemini delays, some high-profile executive departures and regulatory pressures have dragged the stock about 9% lower since the end of April.<br/></p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"HK0000914660.USD":"GFI Global Select Equity Fund Class A (USD)","LU0175139822.USD":"AB FCP I Global Equity Blend A USD","BK4574":"无人驾驶","LU0143551892.USD":"T ROWE PRICE GLOBAL FOCUSED GROWTH EQUITY \"A\" (USD) ACC","LU2247934214.USD":"FIDELITY FUNDS SUSTAINABLE FUTURE CONNECTIVITY \"A\" (USD) ACC","BK4573":"虚拟现实","GOOP":"KURV YIELD PREMIUM STRATEGY GOOGLE (GOOGL) ETF","LU2462591277.SGD":"TRP GLOBAL FOCUSED GROWTH EQUITY \"AN\" (SGDHDG) ACC","LU0211326755.USD":"TEMPLETON GLOBAL INCOME \"A\" (USD) ACC","LU1571399168.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"IP\" (USD) ACC","GOOW":"Roundhill GOOGL WeeklyPay ETF","LU1720051108.HKD":"ALLIANZ GLOBAL ARTIFICIAL INTELLIGENCE \"AT\" (HKD) ACC","BK4581":"高盛持仓","LU2954938101.SGD":"T ROWE PRICE GLOBAL FOCUSED GROWTH EQUITY \"A8P\" (SGD) INC","SG9999014898.SGD":"United Global Quality Growth Fund Dis SGD","LU2275660780.HKD":"SCHRODER ISF GLOBAL CLIMATE CHANGE EQUITY \"A\" (HKD) ACC","LU2089283258.USD":"安联环球可持续基金Cl AM Dis","SG9999018865.SGD":"United Global Quality Growth Fd Cl Dist SGD-H","GOOX":"2倍做多GOOG ETF-T-REX","LU0787776722.HKD":"AB SELECT US EQUITY PORTFOLIO \"A\" (HKD) ACC","LU2999663052.SGD":"T ROWE PRICE GLOBAL FOCUSED GROWTH EQUITY \"A4P\" (SGD) INC","VOX":"电信业ETF-Vanguard","LU0444971666.USD":"天利全球科技基金","LU1323610961.USD":"UBS (LUX) EQUITY SICAV - 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The company said last quarter that it planned to spend between $180 billion and $190 billion this year.Shares of the company were down about 6%.\"We have increased our capacity quite significantly over the past three years. The demand still outpaces that investment,\" Ashkenazi said in justifying the increased spending plans. She added that faster-than-expected delivery of capacity contributed to the hike.Revenue at Google Cloud rose 82% to $24.8 billion during the quarter ended June, driven by strong demand from ⁠AI-hungry enterprises worldwide. Analysts on average expected a 64% increase, according to data compiled by LSEG.Advertising revenue came in at $81.6 billion compared to estimates of $81.1 billion. Total revenue for the quarter was $119.8 billion, beating the consensus estimate of $116.9 billion.But, adjusted profit per share of $2.85 fell slightly short of Wall Street projections of $2.89. And the company reported negative free cash flow for the first time in its history, burning $5.9 billion this quarter.\"After a negative cash flow quarter, the new raise in capex does not sit well for Alphabet,\" said Thomas Monteiro, senior analyst at Investing.com. \"The market's most reliable cash generators are now spending more than they bring in. As long as revenue keeps accelerating, investors will tolerate it. But capital has a real cost again, and the room for error is shrinking every quarter.\"MODEL UNCERTAINTY TEMPERS CLOUD GAINSWhile Google Cloud has made Alphabet a big beneficiary of the AI boom, the company's own AI efforts have lost some steam this year after it delayed the June launch of its next flagship model, Gemini 3.5 Pro.That has left Google trailing in the AI coding tools market and fueled concerns on Wall Street, especially as Anthropic and OpenAI have ‌consistently rolled ⁠out enterprise-focused upgrades, and Chinese open-source models have also gained strong traction.During the question-and-answer portion of the earnings call, multiple analysts pressed CEO Sundar Pichai for clarity around whether Google could keep with its rivals at the frontier of model development.\"There are many attributes on which we are still at the frontier. There are areas where we've acknowledged we need to improve; coding and agentic coding is an example of that,\" Pichai said on the call.Pichai said that while Google continued to test Gemini 3.5 Pro, it had also started training Gemini 4 and was \"applying a lot of our compute and effort in that direction\" in order to ⁠remain competitive.\"We are both very committed and very confident of being at the frontier for the next generation,\" he said.Meanwhile, Google began recognizing revenue from direct sales of its TPU chips, which compete with Nvidia's GPUs, for the first time in the second quarter though the vast majority of revenue from business agreements would come through next year, Ashkenazi said.The third-largest cloud services provider behind Amazon Web Services and Microsoft, Google has seen ⁠demand surge as companies race to secure the cloud capacity needed to develop, train and run AI models, helping it land major deals with firms, including Anthropic.Big Tech is expected to spend well over $700 billion this year primarily on AI, while Morgan Stanley has pegged the estimated spend at more than $1 trillion for the next year.Ashkenazi reaffirmed on the call that Alphabet planned another significant ⁠increase to capex in 2027.Alphabet shares have been among the best performers in the \"Magnificent 7\" group of stocks this year so far, rising more than 9% through last close. But concerns over the Gemini delays, some high-profile executive departures and regulatory pressures have dragged the stock about 9% lower since the end of April.","news_type":1,"symbols_score_info":{"GOOGL":1.98,"CQTM":0.6,"ILDR":0.6,"SKYY":0.6,"GGLL":0.6,"GOOG":2,"METV":0.6,"GOOW":0.6,"OGIG":0.6,"GXPC":0.6,"EFIV":0.6,"SNPE":0.6,"GOU":0.6,"GOOP":0.6,"XDAT":0.6,"GOOX":0.6,"GOOY":0.6,"XLC":0.6,"TRUC":0.6,"CMAG":0.6,"GGLS":0.6,"LTL":0.6,"FCOM":0.6,"VOX":0.6}},"isVote":1,"tweetType":1,"viewCount":367,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":588605625811896,"gmtCreate":1784732739737,"gmtModify":1784732742708,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Meta price falling.. selling before earnings release next week?","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Meta price falling.. selling before earnings release next week?","text":"$Meta Platforms, Inc.(META)$ Meta price falling.. selling before earnings release next week?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/588605625811896","isVote":1,"tweetType":1,"viewCount":242,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":583943692513320,"gmtCreate":1783598304377,"gmtModify":1783598851514,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> useless bump..zuckerberg digging his own grave","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> useless bump..zuckerberg digging his own grave","text":"$Meta Platforms, Inc.(META)$ useless bump..zuckerberg digging his own grave","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/583943692513320","isVote":1,"tweetType":1,"viewCount":292,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":583960835076256,"gmtCreate":1783597898227,"gmtModify":1783597901289,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"Zuckerberg probably thinks meta price is too high now","listText":"Zuckerberg probably thinks meta price is too high now","text":"Zuckerberg probably thinks meta price is too high now","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/583960835076256","repostId":"1130206618","repostType":2,"repost":{"id":"1130206618","kind":"news","weMediaInfo":{"introduction":"Global Stock Market Deep Analysis","home_visible":1,"media_name":"Deep News","id":"1039043262","head_image":"https://community-static.tradeup.com/news/8296859682db4b478146245e72de1922"},"pubTimestamp":1783597610,"share":"https://ttm.financial/m/news/1130206618?lang=en_US&edition=fundamental","pubTime":"2026-07-09 19:46","market":"hk","language":"en","title":"Meta Accelerates In-House AI Chip Development, Aims to Double Compute Power by 2027","url":"https://stock-news.laohu8.com/highlight/detail?id=1130206618","media":"Deep News","summary":"Meta Platforms is accelerating its strategy to develop its own semiconductors, aiming to reduce its reliance on external suppliers like NVIDIA.According to an internal memo seen by Reuters, Meta...","content":"<p>Meta Platforms is accelerating its strategy to develop its own semiconductors, aiming to reduce its reliance on external suppliers like <b>NVIDIA</b>.<br><br>According to an internal memo seen by Reuters, Meta plans to begin mass production of its internally developed AI chip, codenamed \"Iris,\" as early as this September. The company also intends to maintain a product cadence of releasing a new chip generation approximately every six months through 2027.<br><br>Concurrently, the social media giant has set a goal to double its total data center computing power to 14 gigawatts (GW) by 2027. This move signals Meta's push to lessen its high dependence on <b>NVIDIA</b> GPUs, aiming to cut AI infrastructure costs and enhance its computational autonomy.<br><br>The memo revealed that the \"Iris\" chip completed critical testing in just six weeks without discovering major issues. This progress is notably faster than the typical validation period of several months for similar industry chips, indicating a substantial breakthrough for Meta's in-house project.<br><br>Following the news, Meta's shares were down more than 1.5% in pre-market trading.<br><br>\n<b>Focus on Cost Reduction and Reducing GPU Dependence</b><br><br>The \"Iris\" chip belongs to Meta's fourth-generation Meta Training and Inference Accelerators (MTIA) series. It will be fully custom-designed by Meta and is primarily intended to support AI training and inference tasks for products like Facebook and Instagram.<br><br>The report indicates that Meta received support from Broadcom during the chip design phase and has contracted Taiwan Semiconductor Manufacturing Company (TSMC) for production. The company has also secured its supply chain for components such as memory, flash storage, and optical interconnects. For Meta, the core objective of in-house chip development is not to completely replace GPUs but to manage the soaring costs of AI infrastructure and reduce dependence on <b>NVIDIA</b> and <b>AMD</b>.<br><br>The memo stated that deploying the latest generation of GPUs across Meta's vast infrastructure scale is \"extremely difficult and has cost us time.\" Therefore, custom chips are set to become a crucial component of its future computing architecture.<br><br>\n<b>Five-Year Investment Yields Breakthrough</b><br><br>Meta's journey into developing its own AI chips spans over five years, though the MTIA project has faced challenges, with several course corrections. It was once seen as a prime example of slow progress in chip development among major internet companies.<br><br>The successful completion of error validation for \"Iris\" in just six weeks, with no major defects found, is viewed by the industry as a significant milestone.<br><br>For data center-grade AI chips, post-silicon validation typically requires a much longer timeframe, and any major bug could necessitate a redesign or even a new tape-out. Therefore, the smooth testing of \"Iris\" suggests that Meta's chip development process is maturing and has cleared a key hurdle for September's planned mass production.<br><br>It is worth noting that Meta publicly disclosed the \"Iris\" chip and three other AI processors in March of this year. However, the details regarding the completion of testing and the target for mass production starting in September are newly revealed information.<br><br>\n<b>Accelerated Development Cycle to Catch Up</b><br><br>Beyond the production plan, Meta is preparing to increase the pace of its chip development. The internal memo shows the company plans to maintain a rhythm of launching a new chip approximately every six months, continuing this cadence through 2027.<br><br>In contrast, leading AI chip manufacturers in the industry typically maintain product update cycles of a year or longer. A faster iteration cycle indicates Meta's desire to rapidly accumulate chip design experience through continuous upgrades. The strategy is to use its custom ASICs to complement, rather than fully replace, purchased GPUs from companies like <b>NVIDIA</b> in the short term.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Meta Accelerates In-House AI Chip Development, Aims to Double Compute Power by 2027</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nMeta Accelerates In-House AI Chip Development, Aims to Double Compute Power by 2027\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1039043262\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/8296859682db4b478146245e72de1922);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Deep News </p>\n<p class=\"h-time\">2026-07-09 19:46</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>Meta Platforms is accelerating its strategy to develop its own semiconductors, aiming to reduce its reliance on external suppliers like <b>NVIDIA</b>.<br><br>According to an internal memo seen by Reuters, Meta plans to begin mass production of its internally developed AI chip, codenamed \"Iris,\" as early as this September. The company also intends to maintain a product cadence of releasing a new chip generation approximately every six months through 2027.<br><br>Concurrently, the social media giant has set a goal to double its total data center computing power to 14 gigawatts (GW) by 2027. This move signals Meta's push to lessen its high dependence on <b>NVIDIA</b> GPUs, aiming to cut AI infrastructure costs and enhance its computational autonomy.<br><br>The memo revealed that the \"Iris\" chip completed critical testing in just six weeks without discovering major issues. This progress is notably faster than the typical validation period of several months for similar industry chips, indicating a substantial breakthrough for Meta's in-house project.<br><br>Following the news, Meta's shares were down more than 1.5% in pre-market trading.<br><br>\n<b>Focus on Cost Reduction and Reducing GPU Dependence</b><br><br>The \"Iris\" chip belongs to Meta's fourth-generation Meta Training and Inference Accelerators (MTIA) series. It will be fully custom-designed by Meta and is primarily intended to support AI training and inference tasks for products like Facebook and Instagram.<br><br>The report indicates that Meta received support from Broadcom during the chip design phase and has contracted Taiwan Semiconductor Manufacturing Company (TSMC) for production. The company has also secured its supply chain for components such as memory, flash storage, and optical interconnects. For Meta, the core objective of in-house chip development is not to completely replace GPUs but to manage the soaring costs of AI infrastructure and reduce dependence on <b>NVIDIA</b> and <b>AMD</b>.<br><br>The memo stated that deploying the latest generation of GPUs across Meta's vast infrastructure scale is \"extremely difficult and has cost us time.\" Therefore, custom chips are set to become a crucial component of its future computing architecture.<br><br>\n<b>Five-Year Investment Yields Breakthrough</b><br><br>Meta's journey into developing its own AI chips spans over five years, though the MTIA project has faced challenges, with several course corrections. It was once seen as a prime example of slow progress in chip development among major internet companies.<br><br>The successful completion of error validation for \"Iris\" in just six weeks, with no major defects found, is viewed by the industry as a significant milestone.<br><br>For data center-grade AI chips, post-silicon validation typically requires a much longer timeframe, and any major bug could necessitate a redesign or even a new tape-out. Therefore, the smooth testing of \"Iris\" suggests that Meta's chip development process is maturing and has cleared a key hurdle for September's planned mass production.<br><br>It is worth noting that Meta publicly disclosed the \"Iris\" chip and three other AI processors in March of this year. However, the details regarding the completion of testing and the target for mass production starting in September are newly revealed information.<br><br>\n<b>Accelerated Development Cycle to Catch Up</b><br><br>Beyond the production plan, Meta is preparing to increase the pace of its chip development. The internal memo shows the company plans to maintain a rhythm of launching a new chip approximately every six months, continuing this cadence through 2027.<br><br>In contrast, leading AI chip manufacturers in the industry typically maintain product update cycles of a year or longer. A faster iteration cycle indicates Meta's desire to rapidly accumulate chip design experience through continuous upgrades. The strategy is to use its custom ASICs to complement, rather than fully replace, purchased GPUs from companies like <b>NVIDIA</b> in the short term.</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"META":"Meta Platforms, Inc.","AVGU":"2倍做多AVGO ETF-GraniteShares","NVDA":"英伟达","GOOG":"谷歌","YMAG":"YieldMax Magnificent 7 Fund of Option Income ETF","AAPL":"苹果","AMZN":"亚马逊","MAGY":"Roundhill Magnificent Seven Covered Call ETF","AVGW":"Roundhill AVGO WeeklyPay ETF","LRNZ":"TrueShares Technology, AI & Deep Learning ETF","AVGX":"2倍做多AVGO ETF-Defiance","AIS":"VistaShares Artificial Intelligence Supercycle ETF","MSFT":"微软","AIBU":"Direxion Daily AI and Big Data Bull 2X Shares","AIVC":"Amplify Bloomberg AI Value Chain ETF","AVL":"2倍做多AVGO ETF-Direxion","WISE":"THEMES GENERATIVE ARTIFICIAL INTELLIGENCE ETF","TSLA":"特斯拉","SOCL":"社交媒体ETF-Global X","AVS":"1倍做空AVGO ETF-Direxion","ALAI":"Alger AI Enablers & Adopters ETF","FAI":"First Trust Bloomberg Artificial Intelligence ETF","AVGG":"2倍做多AVGO ETF-Leverage Shares","AIFD":"TCW Artificial Intelligence ETF","BULZ":"MicroSectors FANG & Innovation 3X Leveraged ETN"},"source_url":"","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1130206618","content_text":"Meta Platforms is accelerating its strategy to develop its own semiconductors, aiming to reduce its reliance on external suppliers like NVIDIA.According to an internal memo seen by Reuters, Meta plans to begin mass production of its internally developed AI chip, codenamed \"Iris,\" as early as this September. The company also intends to maintain a product cadence of releasing a new chip generation approximately every six months through 2027.Concurrently, the social media giant has set a goal to double its total data center computing power to 14 gigawatts (GW) by 2027. This move signals Meta's push to lessen its high dependence on NVIDIA GPUs, aiming to cut AI infrastructure costs and enhance its computational autonomy.The memo revealed that the \"Iris\" chip completed critical testing in just six weeks without discovering major issues. This progress is notably faster than the typical validation period of several months for similar industry chips, indicating a substantial breakthrough for Meta's in-house project.Following the news, Meta's shares were down more than 1.5% in pre-market trading.\nFocus on Cost Reduction and Reducing GPU DependenceThe \"Iris\" chip belongs to Meta's fourth-generation Meta Training and Inference Accelerators (MTIA) series. It will be fully custom-designed by Meta and is primarily intended to support AI training and inference tasks for products like Facebook and Instagram.The report indicates that Meta received support from Broadcom during the chip design phase and has contracted Taiwan Semiconductor Manufacturing Company (TSMC) for production. The company has also secured its supply chain for components such as memory, flash storage, and optical interconnects. For Meta, the core objective of in-house chip development is not to completely replace GPUs but to manage the soaring costs of AI infrastructure and reduce dependence on NVIDIA and AMD.The memo stated that deploying the latest generation of GPUs across Meta's vast infrastructure scale is \"extremely difficult and has cost us time.\" Therefore, custom chips are set to become a crucial component of its future computing architecture.\nFive-Year Investment Yields BreakthroughMeta's journey into developing its own AI chips spans over five years, though the MTIA project has faced challenges, with several course corrections. It was once seen as a prime example of slow progress in chip development among major internet companies.The successful completion of error validation for \"Iris\" in just six weeks, with no major defects found, is viewed by the industry as a significant milestone.For data center-grade AI chips, post-silicon validation typically requires a much longer timeframe, and any major bug could necessitate a redesign or even a new tape-out. Therefore, the smooth testing of \"Iris\" suggests that Meta's chip development process is maturing and has cleared a key hurdle for September's planned mass production.It is worth noting that Meta publicly disclosed the \"Iris\" chip and three other AI processors in March of this year. However, the details regarding the completion of testing and the target for mass production starting in September are newly revealed information.\nAccelerated Development Cycle to Catch UpBeyond the production plan, Meta is preparing to increase the pace of its chip development. The internal memo shows the company plans to maintain a rhythm of launching a new chip approximately every six months, continuing this cadence through 2027.In contrast, leading AI chip manufacturers in the industry typically maintain product update cycles of a year or longer. A faster iteration cycle indicates Meta's desire to rapidly accumulate chip design experience through continuous upgrades. The strategy is to use its custom ASICs to complement, rather than fully replace, purchased GPUs from companies like NVIDIA in the short term.","news_type":1,"symbols_score_info":{"WISE":1,"MSFT":1,"META":1,"AIS":1,"NVDA":1,"AVS":1,"AVL":1,"GOOG":1,"AIFD":1,"AVGX":1,"YMAG":1,"AIBU":1,"AVGG":1,"AIVC":1,"AAPL":1,"LRNZ":1,"ALAI":1,"MAGY":1,"AMZN":1,"SOCL":1,"BULZ":1,"AVGW":1,"TSLA":1,"FAI":1,"AVGU":1}},"isVote":1,"tweetType":1,"viewCount":505,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":583631986868744,"gmtCreate":1783518380720,"gmtModify":1783518383729,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Meta trend is move up 1 day then give back gains next few days","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Meta trend is move up 1 day then give back gains next few days","text":"$Meta Platforms, Inc.(META)$ Meta trend is move up 1 day then give back gains next few days","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/583631986868744","isVote":1,"tweetType":1,"viewCount":456,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":583631592977784,"gmtCreate":1783518290956,"gmtModify":1783520219801,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> looks like selling now back on mag 7","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> looks like selling now back on mag 7","text":"$Meta Platforms, Inc.(META)$ looks like selling now back on mag 7","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/583631592977784","isVote":1,"tweetType":1,"viewCount":450,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":581519321011680,"gmtCreate":1783002619386,"gmtModify":1783002622985,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Should have sold yesterday. Looks like gains not sustainable","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Should have sold yesterday. Looks like gains not sustainable","text":"$Meta Platforms, Inc.(META)$ Should have sold yesterday. Looks like gains not sustainable","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/581519321011680","isVote":1,"tweetType":1,"viewCount":327,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":575124525166832,"gmtCreate":1781419602641,"gmtModify":1781427246937,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"Pls do some soul searching and dont squander your fortunes away","listText":"Pls do some soul searching and dont squander your fortunes away","text":"Pls do some soul searching and dont squander your fortunes away","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/575124525166832","repostId":"1140497679","repostType":2,"repost":{"id":"1140497679","kind":"news","weMediaInfo":{"introduction":"Global Stock Market Deep Analysis","home_visible":1,"media_name":"Deep News","id":"1039043262","head_image":"https://community-static.tradeup.com/news/8296859682db4b478146245e72de1922"},"pubTimestamp":1781351372,"share":"https://ttm.financial/m/news/1140497679?lang=en_US&edition=fundamental","pubTime":"2026-06-13 19:49","market":"other","language":"en","title":"Following Amazon, Meta Imposes Limits on AI Usage. As Tech Giants Reel from Token Costs, Should AI Model Leaders Focus on Profit Margins?","url":"https://stock-news.laohu8.com/highlight/detail?id=1140497679","media":"Deep News","summary":"After Amazon.com (AMZN), Meta Platforms, Inc. (META) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being...","content":"<p>After <b>Amazon.com</b> (<b>AMZN</b>), <b>Meta Platforms, Inc.</b> (<b>META</b>) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being challenged by the soaring costs it generates.<br><br>\nAccording to reports, Meta sent an internal memo to approximately 6,000 employees this week, announcing it will set caps on employee token usage and build a real-time tracking platform to curb the exponential growth of internal AI costs.<br><br>\nThe memo stated that Meta's internal AI usage alone is projected to cost tens of billions of dollars by 2026. This move comes after Meta previously encouraged employees to integrate AI tools into their daily workflows, a strategy it is now forced to abruptly reverse.<br><br>\nConcurrently, reports indicate OpenAI is considering significant token price cuts to attract enterprise clients. Meanwhile, the Silicon Data LLM Token Spending Index, which reflects market willingness to pay for AI, has fallen for seven consecutive trading days—its longest losing streak since January this year.<br><br>\nThese combined signals have rapidly heightened market skepticism about the sustainability of AI commercialization. For investors, the core question is no longer whether AI demand exists, but rather: when tech giants themselves start scrutinizing their token bills, how much profit margin remains for the large AI model providers?<br><br>\n<b>The Uncontrolled Token Bill: Meta's Internal \"Spending Spree\"</b><br><br>\nThe direct catalyst for Meta tightening AI usage was a frenzy of token consumption fueled by internal incentives.<br><br>\nLast November, Meta explicitly told employees that demonstrating \"AI-driven work results\" would be a \"core performance requirement\" this year, with top performers receiving rewards. This directive led to an unintended consequence this spring: some employees engaged in a competition dubbed \"tokenmaxxing,\" vying for spots on an internal leaderboard called \"Claudeonomics,\" which ranked the top 250 employees by token usage.<br><br>\nInternal data shows employees consumed 60.2 trillion tokens in a 30-day period, with the figure later climbing to 73.7 trillion, leading to the leaderboard being taken down. Some employees reportedly instructed AI agents to run multiple tasks simultaneously to artificially inflate token consumption.<br><br>\nMeta's Chief Technology Officer Andrew Bosworth warned in an April memo that \"nobody should be using AI just to use AI,\" stressing that \"Token usage is not a measure of impact in any sense.\" However, mere warnings proved insufficient to halt the rising costs.<br><br>\n<b>Systematic Response: The AI Gateway and Internal Tool Substitution</b><br><br>\nFaced with runaway spending, Meta is implementing a systematic cost-control mechanism.<br><br>\nAccording to the internal memo, Meta has built a central dashboard called \"AI Gateway\" for real-time monitoring of company-wide AI usage and expenditure, with plans to add automated alerts for abnormal consumption spikes. The company intends to roll out these control tools to a broader employee base in the coming weeks and establish a more structured token budget allocation system by 2027.<br><br>\nSimultaneously, Meta is pushing employees to shift from third-party AI tools to in-house solutions. Its new Applied AI Engineering department is tasking engineers with improving the internal coding assistant MetaCode (formerly Devmate), aiming to reduce reliance on Anthropic's Claude, which is currently the primary tool for Meta's engineers in coding work.<br><br>\nIt's noted that Meta is not completely blocking access to third-party models; employees can still use tools from OpenAI, Anthropic, and Google, but internal tools will be explicitly prioritized.<br><br>\n<b>Industry Echo: Major Tech Firms Hitting the Brakes</b><br><br>\nMeta is not alone. Token bill pressures are resonating across the tech industry.<br><br>\nReports indicate Amazon recently shut down an internal AI leaderboard because employees were performing unnecessary operations to \"boost scores,\" causing a sharp rise in compute costs. Amazon has also begun using a metric called \"standardized deployment\" to evaluate whether engineers regularly use AI to generate useful code, rather than simply measuring token consumption.<br><br>\nFurthermore, reports suggest Uber and ServiceNow exhausted their annual budgets for Anthropic tools early in 2026. ServiceNow is also monitoring daily employee usage to track and compress costs. Venture capital firms are setting AI usage caps for employees due to daily token fees often reaching thousands of dollars.<br><br>\nAgainst this backdrop, rumors of OpenAI's price cuts carry deeper significance.<br><br>\nReports state OpenAI is considering significant reductions in token fees charged to users, partly to get ahead of potential similar moves by Anthropic.<br><br>\nOpenAI's CEO Sam Altman recently acknowledged that AI usage costs are \"a huge problem\" and stated the company would \"help people get more value for less money.\"<br><br>\nThe timing of this statement is notable—OpenAI has confidentially filed for an IPO this week, and Anthropic is also on a countdown to its public listing. While price cuts can help win enterprise clients, they directly erode profit margins for both companies, which are currently losing billions due to the massive compute power required for their AI systems.<br><br>\n<b>Token Index Decline: What is the Market Repricing?</b><br><br>\nCapital markets are already feeling the chill.<br><br>\nThe Silicon Data LLM Token Spending Index has fallen for seven consecutive trading days as of June 11, marking its longest losing streak since January, with declines recorded in 11 of the past 12 days.<br><br>\nThis index measures the average payment level per million tokens used across the market. It more than doubled since December last year and continued climbing until May 2026 before sharply reversing course.<br><br>\nA macro strategist described this chart as \"the single most important chart in the entire market right now,\" warning that if token pricing continues to weaken, the trading logic for related investments from memory to broader hardware and data centers in this cycle could face an end.<br><br>\nWall Street interpretations vary. JPMorgan characterizes the current trend as a \"minimal speed bump,\" while Citadel points out that the core constraint for AI adoption has shifted from \"the most capable model\" to \"cost and scarcity,\" with users accelerating their migration to cheaper models.<br><br>\nBehind this divergence lies a more fundamental valuation question: Is the decline in token consumption a signal of peak AI demand, or the result of users rationally choosing lower-cost models? The answer will directly impact capital expenditure expectations and valuation logic for companies like Nvidia, cloud providers, and the entire AI hardware supply chain.<br><br>\n<b>A Turning Point for the Commercial Narrative</b><br><br>\nFrom a broader perspective, Meta's move to restrict AI usage reflects a deeper shift in the generative AI commercialization narrative.<br><br>\nOver the past three years, the AI industry has undergone a three-stage evolution: from subsidizing users to gain adoption, to monthly subscriptions hiding costs, to per-token billing triggering an enterprise bill crisis. Now, as the growth narrative of \"more token consumption is better\" reaches its limit, the industry faces not just a pricing decision, but a more fundamental challenge of business model reconstruction.<br><br>\nMeta is investing a massive annual capital expenditure, partly to expand AI infrastructure including data centers, AI chips, and talent recruitment. Simultaneously, the company faces pressure from investors to generate visible returns from its enormous AI investments—Meta has already launched paid subscription tiers in Facebook, Instagram, and WhatsApp and plans to charge businesses using its AI business agents.<br><br>\nHowever, if even Meta's internal AI usage costs have become unsustainable, the profitability prospects of its enterprise AI agent business also face scrutiny. For the entire industry, how to tell the next chapter of the commercialization story remains an unanswered question.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Following Amazon, Meta Imposes Limits on AI Usage. As Tech Giants Reel from Token Costs, Should AI Model Leaders Focus on Profit Margins?</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFollowing Amazon, Meta Imposes Limits on AI Usage. As Tech Giants Reel from Token Costs, Should AI Model Leaders Focus on Profit Margins?\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1039043262\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/8296859682db4b478146245e72de1922);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Deep News </p>\n<p class=\"h-time\">2026-06-13 19:49</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>After <b>Amazon.com</b> (<b>AMZN</b>), <b>Meta Platforms, Inc.</b> (<b>META</b>) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being challenged by the soaring costs it generates.<br><br>\nAccording to reports, Meta sent an internal memo to approximately 6,000 employees this week, announcing it will set caps on employee token usage and build a real-time tracking platform to curb the exponential growth of internal AI costs.<br><br>\nThe memo stated that Meta's internal AI usage alone is projected to cost tens of billions of dollars by 2026. This move comes after Meta previously encouraged employees to integrate AI tools into their daily workflows, a strategy it is now forced to abruptly reverse.<br><br>\nConcurrently, reports indicate OpenAI is considering significant token price cuts to attract enterprise clients. Meanwhile, the Silicon Data LLM Token Spending Index, which reflects market willingness to pay for AI, has fallen for seven consecutive trading days—its longest losing streak since January this year.<br><br>\nThese combined signals have rapidly heightened market skepticism about the sustainability of AI commercialization. For investors, the core question is no longer whether AI demand exists, but rather: when tech giants themselves start scrutinizing their token bills, how much profit margin remains for the large AI model providers?<br><br>\n<b>The Uncontrolled Token Bill: Meta's Internal \"Spending Spree\"</b><br><br>\nThe direct catalyst for Meta tightening AI usage was a frenzy of token consumption fueled by internal incentives.<br><br>\nLast November, Meta explicitly told employees that demonstrating \"AI-driven work results\" would be a \"core performance requirement\" this year, with top performers receiving rewards. This directive led to an unintended consequence this spring: some employees engaged in a competition dubbed \"tokenmaxxing,\" vying for spots on an internal leaderboard called \"Claudeonomics,\" which ranked the top 250 employees by token usage.<br><br>\nInternal data shows employees consumed 60.2 trillion tokens in a 30-day period, with the figure later climbing to 73.7 trillion, leading to the leaderboard being taken down. Some employees reportedly instructed AI agents to run multiple tasks simultaneously to artificially inflate token consumption.<br><br>\nMeta's Chief Technology Officer Andrew Bosworth warned in an April memo that \"nobody should be using AI just to use AI,\" stressing that \"Token usage is not a measure of impact in any sense.\" However, mere warnings proved insufficient to halt the rising costs.<br><br>\n<b>Systematic Response: The AI Gateway and Internal Tool Substitution</b><br><br>\nFaced with runaway spending, Meta is implementing a systematic cost-control mechanism.<br><br>\nAccording to the internal memo, Meta has built a central dashboard called \"AI Gateway\" for real-time monitoring of company-wide AI usage and expenditure, with plans to add automated alerts for abnormal consumption spikes. The company intends to roll out these control tools to a broader employee base in the coming weeks and establish a more structured token budget allocation system by 2027.<br><br>\nSimultaneously, Meta is pushing employees to shift from third-party AI tools to in-house solutions. Its new Applied AI Engineering department is tasking engineers with improving the internal coding assistant MetaCode (formerly Devmate), aiming to reduce reliance on Anthropic's Claude, which is currently the primary tool for Meta's engineers in coding work.<br><br>\nIt's noted that Meta is not completely blocking access to third-party models; employees can still use tools from OpenAI, Anthropic, and Google, but internal tools will be explicitly prioritized.<br><br>\n<b>Industry Echo: Major Tech Firms Hitting the Brakes</b><br><br>\nMeta is not alone. Token bill pressures are resonating across the tech industry.<br><br>\nReports indicate Amazon recently shut down an internal AI leaderboard because employees were performing unnecessary operations to \"boost scores,\" causing a sharp rise in compute costs. Amazon has also begun using a metric called \"standardized deployment\" to evaluate whether engineers regularly use AI to generate useful code, rather than simply measuring token consumption.<br><br>\nFurthermore, reports suggest Uber and ServiceNow exhausted their annual budgets for Anthropic tools early in 2026. ServiceNow is also monitoring daily employee usage to track and compress costs. Venture capital firms are setting AI usage caps for employees due to daily token fees often reaching thousands of dollars.<br><br>\nAgainst this backdrop, rumors of OpenAI's price cuts carry deeper significance.<br><br>\nReports state OpenAI is considering significant reductions in token fees charged to users, partly to get ahead of potential similar moves by Anthropic.<br><br>\nOpenAI's CEO Sam Altman recently acknowledged that AI usage costs are \"a huge problem\" and stated the company would \"help people get more value for less money.\"<br><br>\nThe timing of this statement is notable—OpenAI has confidentially filed for an IPO this week, and Anthropic is also on a countdown to its public listing. While price cuts can help win enterprise clients, they directly erode profit margins for both companies, which are currently losing billions due to the massive compute power required for their AI systems.<br><br>\n<b>Token Index Decline: What is the Market Repricing?</b><br><br>\nCapital markets are already feeling the chill.<br><br>\nThe Silicon Data LLM Token Spending Index has fallen for seven consecutive trading days as of June 11, marking its longest losing streak since January, with declines recorded in 11 of the past 12 days.<br><br>\nThis index measures the average payment level per million tokens used across the market. It more than doubled since December last year and continued climbing until May 2026 before sharply reversing course.<br><br>\nA macro strategist described this chart as \"the single most important chart in the entire market right now,\" warning that if token pricing continues to weaken, the trading logic for related investments from memory to broader hardware and data centers in this cycle could face an end.<br><br>\nWall Street interpretations vary. JPMorgan characterizes the current trend as a \"minimal speed bump,\" while Citadel points out that the core constraint for AI adoption has shifted from \"the most capable model\" to \"cost and scarcity,\" with users accelerating their migration to cheaper models.<br><br>\nBehind this divergence lies a more fundamental valuation question: Is the decline in token consumption a signal of peak AI demand, or the result of users rationally choosing lower-cost models? The answer will directly impact capital expenditure expectations and valuation logic for companies like Nvidia, cloud providers, and the entire AI hardware supply chain.<br><br>\n<b>A Turning Point for the Commercial Narrative</b><br><br>\nFrom a broader perspective, Meta's move to restrict AI usage reflects a deeper shift in the generative AI commercialization narrative.<br><br>\nOver the past three years, the AI industry has undergone a three-stage evolution: from subsidizing users to gain adoption, to monthly subscriptions hiding costs, to per-token billing triggering an enterprise bill crisis. Now, as the growth narrative of \"more token consumption is better\" reaches its limit, the industry faces not just a pricing decision, but a more fundamental challenge of business model reconstruction.<br><br>\nMeta is investing a massive annual capital expenditure, partly to expand AI infrastructure including data centers, AI chips, and talent recruitment. Simultaneously, the company faces pressure from investors to generate visible returns from its enormous AI investments—Meta has already launched paid subscription tiers in Facebook, Instagram, and WhatsApp and plans to charge businesses using its AI business agents.<br><br>\nHowever, if even Meta's internal AI usage costs have become unsustainable, the profitability prospects of its enterprise AI agent business also face scrutiny. For the entire industry, how to tell the next chapter of the commercialization story remains an unanswered question.</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"BK4561":"索罗斯持仓","LU1935042488.USD":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME  \"AA\" (USD) INC","LU2168563687.JPY":"AZ ALLOCATION - TREND \"AAZ\" (JPYHDG) ACC","LU1935042991.SGD":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME  \"AA\" (SGDHDG) INC","IE00BKPKM429.USD":"NEUBERGER BERMAN GLOBAL SUSTAINABLE EQUITY \"A\" (USD) ACC","LU2168564149.EUR":"AZ ALLOCATION - TREND \"BAZ\" (EUR) ACC","IE00B4YYXB79.USD":"PIMCO BALANCED INCOME AND GROWTH \"E\" (USD) ACC","LU0251142724.SGD":"Fidelity America A-SGD","IE00BZ1G4Q59.USD":"LEGG MASON CLEARBRIDGE US EQUITY SUSTAINABILITY LEADER \"A\"(USD) INC (A)","SG9999015986.USD":"LIONGLOBAL DISRUPTIVE INNOVATION \"I\" (USD) ACC","LU0077335932.USD":"FIDELITY AMERICAN GROWTH \"A\" INC","LU0444971666.USD":"天利全球科技基金","LU1917777945.USD":"安联专题基金Cl AT Acc","LU1720051017.SGD":"Allianz Global Artificial Intelligence AT Acc H2-SGD","LU1244550221.USD":"FRANKLIN GLOBAL MULTI-ASSET  INCOME \"A\" (USDHEDGED) INC (M)","LU0823434740.USD":"BNP PARIBAS US GROWTH \"C\" (USD) INC","LU0149725797.USD":"汇丰美国股市经济规模基金","LU0109392836.USD":"富兰克林科技股A","LU0823434583.USD":"BNP PARIBAS US GROWTH \"C\" (USD) ACC","LU0882574139.USD":"富达环球消费行业基金A ACC","SG9999015945.SGD":"LionGlobal Disruptive Innovation Fund A SGD","LU0211328371.USD":"TEMPLETON GLOBAL EQUITY INCOME \"A\" (MDIS) (USD)   INC","LU1992135399.USD":"Allianz Global Intelligent Cities AT Acc USD","LU0784385170.HKD":"BGF GLOBAL MULTI ASSET INCOME \"A6\" (HKDHGD) INC","LU0072461881.USD":"BGF US BASIC VALUE \"A2\" ACC","LU0133085943.USD":"T ROWE PRICE US BLUE CHIP EQUITY \"A\" ACC","LU0276348264.USD":"THREADNEEDLE (LUX) GLOBAL DYNAMIC REAL RETURN\"AUP\" (USD) INC","BK4543":"AI","LU0174119429.USD":"T ROWE PRICE US LARGE CAP GROWTH EQUITY \"A\" ACC","LU1861127337.USD":"ALLIANZ GLOBAL MULTI ASSET SUSTAINABILITY BALANCED \"AMG\" (USD) INC","LU2063271972.USD":"富兰克林创新领域基金","LU2462591350.SGD":"T ROWE PRICE US LARGE CAP GROWTH EQUITY \"AN\" (SGDHDG) ACC","LU1242518931.SGD":"Fullerton Lux Funds - Asia Absolute Alpha A Acc SGD","LU1935043536.SGD":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME \"AA\" (SGDHDG) INC A","LU0345768153.USD":"NINETY ONE GSF GLOBAL STRATEGIC MANAGED \"A\" (USD) ACC","LU1839511570.USD":"WELLS FARGO GLOBAL FACTOR ENHANCED EQUITY \"I\" (USD) ACC","LU0784383803.USD":"BGF GLOBAL MULTI-ASSET INCOME FUND \"A\" (USD) INC A","LU2463028550.USD":"AB SICAV I AMERICAN MULTI-ASSET PORTFOLIO \"A\" (USD) ACC","LU1934455277.USD":"AB SICAV I LOW VOLATILITY TOTAL RETURN EQUITY PORT \"AD\" (USD) INC","LU0265550359.USD":"BGF SYSTEMATIC GLOBAL ENHANCED EQUITY YIELD \"A2\" (USD) ACC","LU1989764664.SGD":"CPR Invest - Global Disruptive Opportunities A2 Acc SGD-H","LU2023250504.SGD":"Allianz Thematica Cl AMg DIS H2-SGD","LU1496350171.SGD":"FRANKLIN DIVERSIFIED BALANCED \"A\" (SGDHDG) ACC","SG9999000418.SGD":"Aberdeen Standard Global Technology SGD","LU0198837287.USD":"UBS (LUX) EQUITY SICAV - USA GROWTH \"P\" (USD) ACC","LU1989764748.USD":"东方汇理环球颠覆性机遇A2 Acc","LU0820561909.HKD":"ALLIANZ INCOME AND GROWTH \"AM\" (HKD) INC","BK4592":"伊斯兰概念","LU1934455194.USD":"AB SICAV I LOW VOLATILITY TOTAL RETURN EQUITY PORT \"A\" (USD) ACC","LU1883839398.USD":"AMUNDI FUNDS INCOME OPPORTUNITIES \"A2\" (USD) ACC","LU1642822529.SGD":"THREADNEEDLE (LUX) GLOBAL TECHNOLOGY \"A\" (SGD) ACC","LU2637965513.SGD":"BGF GLOBAL ALLOCATION \"A10\" (SGDHDG) INC","IE0034235303.USD":"PINEBRIDGE US RESEARCH ENHANCED CORE EQUITY \"A\" (USD) ACC","BK4548":"巴美列捷福持仓","LU0215105999.USD":"SCHRODER ISF GLOBAL EQUITY \"A\" ACC","IE00B5TLWC47.USD":"BNY MELLON LONG-TERM GLOBAL EQUITY \"B\" (USD) ACC","LU0689472784.USD":"安联收益及增长基金Cl AM AT Acc","LU0225283273.USD":"SCHRODER ISF GLOBAL EQUITY ALPHA \"A\" (USD) ACC","IE00B1BXHZ80.USD":"Legg Mason ClearBridge - US Appreciation A Acc USD","LU0267386448.USD":"FIDELITY FIRST ALL COUNTRY WORLD \"A\" (USD) INC","BK4554":"元宇宙及AR概念","LU1064131342.USD":"Fullerton Lux Funds - Global Absolute Alpha A Acc USD","LU0786609619.USD":"高盛全球千禧一代股票组合Acc","LU1992135472.HKD":"ALLIANZ GLOBAL INTELLIGENT CITIES \"AT\" (HKD) ACC","BK4585":"ETF&股票定投概念","LU0310799852.SGD":"FTIF - Templeton Global Equity Income A MDIS SGD","LU0203345920.USD":"SCHRODER ISF QEP GLB ACT. 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LONG TERM THEMES (USD) \"P\" (USD) ACC","LU0912757837.SGD":"JPMorgan Investment Funds - Global Income A (mth) SGD-H","LU0312595415.SGD":"Schroder ISF Global Climate Change Equity A Acc SGD","LU2168564495.EUR":"AZ ALLOCATION - TREND \"AI\" (EUR) ACC","LU0889565833.HKD":"FRANKLIN TECHNOLOGY \"A\" (HKD) ACC","LU1778281490.HKD":"HSBC GIF GLOBAL LOWER CARBON EQUITY \"AD\" (HKD) INC","LU2168564222.USD":"AZ ALLOCATION - TREND \"AAZ\" (USDHDG) ACC","SGXZ51526630.SGD":"大华环球创新基金A Acc SGD","LU2168564065.EUR":"AZ ALLOCATION - TREND \"AAZ\" (EUR) ACC"},"source_url":"","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1140497679","content_text":"After Amazon.com (AMZN), Meta Platforms, Inc. (META) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being challenged by the soaring costs it generates.\nAccording to reports, Meta sent an internal memo to approximately 6,000 employees this week, announcing it will set caps on employee token usage and build a real-time tracking platform to curb the exponential growth of internal AI costs.\nThe memo stated that Meta's internal AI usage alone is projected to cost tens of billions of dollars by 2026. This move comes after Meta previously encouraged employees to integrate AI tools into their daily workflows, a strategy it is now forced to abruptly reverse.\nConcurrently, reports indicate OpenAI is considering significant token price cuts to attract enterprise clients. Meanwhile, the Silicon Data LLM Token Spending Index, which reflects market willingness to pay for AI, has fallen for seven consecutive trading days—its longest losing streak since January this year.\nThese combined signals have rapidly heightened market skepticism about the sustainability of AI commercialization. For investors, the core question is no longer whether AI demand exists, but rather: when tech giants themselves start scrutinizing their token bills, how much profit margin remains for the large AI model providers?\nThe Uncontrolled Token Bill: Meta's Internal \"Spending Spree\"\nThe direct catalyst for Meta tightening AI usage was a frenzy of token consumption fueled by internal incentives.\nLast November, Meta explicitly told employees that demonstrating \"AI-driven work results\" would be a \"core performance requirement\" this year, with top performers receiving rewards. This directive led to an unintended consequence this spring: some employees engaged in a competition dubbed \"tokenmaxxing,\" vying for spots on an internal leaderboard called \"Claudeonomics,\" which ranked the top 250 employees by token usage.\nInternal data shows employees consumed 60.2 trillion tokens in a 30-day period, with the figure later climbing to 73.7 trillion, leading to the leaderboard being taken down. Some employees reportedly instructed AI agents to run multiple tasks simultaneously to artificially inflate token consumption.\nMeta's Chief Technology Officer Andrew Bosworth warned in an April memo that \"nobody should be using AI just to use AI,\" stressing that \"Token usage is not a measure of impact in any sense.\" However, mere warnings proved insufficient to halt the rising costs.\nSystematic Response: The AI Gateway and Internal Tool Substitution\nFaced with runaway spending, Meta is implementing a systematic cost-control mechanism.\nAccording to the internal memo, Meta has built a central dashboard called \"AI Gateway\" for real-time monitoring of company-wide AI usage and expenditure, with plans to add automated alerts for abnormal consumption spikes. The company intends to roll out these control tools to a broader employee base in the coming weeks and establish a more structured token budget allocation system by 2027.\nSimultaneously, Meta is pushing employees to shift from third-party AI tools to in-house solutions. Its new Applied AI Engineering department is tasking engineers with improving the internal coding assistant MetaCode (formerly Devmate), aiming to reduce reliance on Anthropic's Claude, which is currently the primary tool for Meta's engineers in coding work.\nIt's noted that Meta is not completely blocking access to third-party models; employees can still use tools from OpenAI, Anthropic, and Google, but internal tools will be explicitly prioritized.\nIndustry Echo: Major Tech Firms Hitting the Brakes\nMeta is not alone. Token bill pressures are resonating across the tech industry.\nReports indicate Amazon recently shut down an internal AI leaderboard because employees were performing unnecessary operations to \"boost scores,\" causing a sharp rise in compute costs. Amazon has also begun using a metric called \"standardized deployment\" to evaluate whether engineers regularly use AI to generate useful code, rather than simply measuring token consumption.\nFurthermore, reports suggest Uber and ServiceNow exhausted their annual budgets for Anthropic tools early in 2026. ServiceNow is also monitoring daily employee usage to track and compress costs. Venture capital firms are setting AI usage caps for employees due to daily token fees often reaching thousands of dollars.\nAgainst this backdrop, rumors of OpenAI's price cuts carry deeper significance.\nReports state OpenAI is considering significant reductions in token fees charged to users, partly to get ahead of potential similar moves by Anthropic.\nOpenAI's CEO Sam Altman recently acknowledged that AI usage costs are \"a huge problem\" and stated the company would \"help people get more value for less money.\"\nThe timing of this statement is notable—OpenAI has confidentially filed for an IPO this week, and Anthropic is also on a countdown to its public listing. While price cuts can help win enterprise clients, they directly erode profit margins for both companies, which are currently losing billions due to the massive compute power required for their AI systems.\nToken Index Decline: What is the Market Repricing?\nCapital markets are already feeling the chill.\nThe Silicon Data LLM Token Spending Index has fallen for seven consecutive trading days as of June 11, marking its longest losing streak since January, with declines recorded in 11 of the past 12 days.\nThis index measures the average payment level per million tokens used across the market. It more than doubled since December last year and continued climbing until May 2026 before sharply reversing course.\nA macro strategist described this chart as \"the single most important chart in the entire market right now,\" warning that if token pricing continues to weaken, the trading logic for related investments from memory to broader hardware and data centers in this cycle could face an end.\nWall Street interpretations vary. JPMorgan characterizes the current trend as a \"minimal speed bump,\" while Citadel points out that the core constraint for AI adoption has shifted from \"the most capable model\" to \"cost and scarcity,\" with users accelerating their migration to cheaper models.\nBehind this divergence lies a more fundamental valuation question: Is the decline in token consumption a signal of peak AI demand, or the result of users rationally choosing lower-cost models? The answer will directly impact capital expenditure expectations and valuation logic for companies like Nvidia, cloud providers, and the entire AI hardware supply chain.\nA Turning Point for the Commercial Narrative\nFrom a broader perspective, Meta's move to restrict AI usage reflects a deeper shift in the generative AI commercialization narrative.\nOver the past three years, the AI industry has undergone a three-stage evolution: from subsidizing users to gain adoption, to monthly subscriptions hiding costs, to per-token billing triggering an enterprise bill crisis. Now, as the growth narrative of \"more token consumption is better\" reaches its limit, the industry faces not just a pricing decision, but a more fundamental challenge of business model reconstruction.\nMeta is investing a massive annual capital expenditure, partly to expand AI infrastructure including data centers, AI chips, and talent recruitment. Simultaneously, the company faces pressure from investors to generate visible returns from its enormous AI investments—Meta has already launched paid subscription tiers in Facebook, Instagram, and WhatsApp and plans to charge businesses using its AI business agents.\nHowever, if even Meta's internal AI usage costs have become unsustainable, the profitability prospects of its enterprise AI agent business also face scrutiny. For the entire industry, how to tell the next chapter of the commercialization story remains an unanswered question.","news_type":1,"symbols_score_info":{"METU":1,"AMZP":1,"FBY":1,"META":1,"AZYY":1,"AMZU":1,"METW":1,"AMZY":1,"AMZN":1,"FBYY":1,"USAW.SI":1,"AMZW":1,"METD":1,"AMZZ":1,"FBL":1,"AMZD":1}},"isVote":1,"tweetType":1,"viewCount":695,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":575124719849616,"gmtCreate":1781419564311,"gmtModify":1781427246953,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"Zuckerberg...monkey see..monkey do","listText":"Zuckerberg...monkey see..monkey do","text":"Zuckerberg...monkey see..monkey do","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/575124719849616","repostId":"1140497679","repostType":2,"repost":{"id":"1140497679","kind":"news","weMediaInfo":{"introduction":"Global Stock Market Deep Analysis","home_visible":1,"media_name":"Deep News","id":"1039043262","head_image":"https://community-static.tradeup.com/news/8296859682db4b478146245e72de1922"},"pubTimestamp":1781351372,"share":"https://ttm.financial/m/news/1140497679?lang=en_US&edition=fundamental","pubTime":"2026-06-13 19:49","market":"other","language":"en","title":"Following Amazon, Meta Imposes Limits on AI Usage. As Tech Giants Reel from Token Costs, Should AI Model Leaders Focus on Profit Margins?","url":"https://stock-news.laohu8.com/highlight/detail?id=1140497679","media":"Deep News","summary":"After Amazon.com (AMZN), Meta Platforms, Inc. (META) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being...","content":"<p>After <b>Amazon.com</b> (<b>AMZN</b>), <b>Meta Platforms, Inc.</b> (<b>META</b>) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being challenged by the soaring costs it generates.<br><br>\nAccording to reports, Meta sent an internal memo to approximately 6,000 employees this week, announcing it will set caps on employee token usage and build a real-time tracking platform to curb the exponential growth of internal AI costs.<br><br>\nThe memo stated that Meta's internal AI usage alone is projected to cost tens of billions of dollars by 2026. This move comes after Meta previously encouraged employees to integrate AI tools into their daily workflows, a strategy it is now forced to abruptly reverse.<br><br>\nConcurrently, reports indicate OpenAI is considering significant token price cuts to attract enterprise clients. Meanwhile, the Silicon Data LLM Token Spending Index, which reflects market willingness to pay for AI, has fallen for seven consecutive trading days—its longest losing streak since January this year.<br><br>\nThese combined signals have rapidly heightened market skepticism about the sustainability of AI commercialization. For investors, the core question is no longer whether AI demand exists, but rather: when tech giants themselves start scrutinizing their token bills, how much profit margin remains for the large AI model providers?<br><br>\n<b>The Uncontrolled Token Bill: Meta's Internal \"Spending Spree\"</b><br><br>\nThe direct catalyst for Meta tightening AI usage was a frenzy of token consumption fueled by internal incentives.<br><br>\nLast November, Meta explicitly told employees that demonstrating \"AI-driven work results\" would be a \"core performance requirement\" this year, with top performers receiving rewards. This directive led to an unintended consequence this spring: some employees engaged in a competition dubbed \"tokenmaxxing,\" vying for spots on an internal leaderboard called \"Claudeonomics,\" which ranked the top 250 employees by token usage.<br><br>\nInternal data shows employees consumed 60.2 trillion tokens in a 30-day period, with the figure later climbing to 73.7 trillion, leading to the leaderboard being taken down. Some employees reportedly instructed AI agents to run multiple tasks simultaneously to artificially inflate token consumption.<br><br>\nMeta's Chief Technology Officer Andrew Bosworth warned in an April memo that \"nobody should be using AI just to use AI,\" stressing that \"Token usage is not a measure of impact in any sense.\" However, mere warnings proved insufficient to halt the rising costs.<br><br>\n<b>Systematic Response: The AI Gateway and Internal Tool Substitution</b><br><br>\nFaced with runaway spending, Meta is implementing a systematic cost-control mechanism.<br><br>\nAccording to the internal memo, Meta has built a central dashboard called \"AI Gateway\" for real-time monitoring of company-wide AI usage and expenditure, with plans to add automated alerts for abnormal consumption spikes. The company intends to roll out these control tools to a broader employee base in the coming weeks and establish a more structured token budget allocation system by 2027.<br><br>\nSimultaneously, Meta is pushing employees to shift from third-party AI tools to in-house solutions. Its new Applied AI Engineering department is tasking engineers with improving the internal coding assistant MetaCode (formerly Devmate), aiming to reduce reliance on Anthropic's Claude, which is currently the primary tool for Meta's engineers in coding work.<br><br>\nIt's noted that Meta is not completely blocking access to third-party models; employees can still use tools from OpenAI, Anthropic, and Google, but internal tools will be explicitly prioritized.<br><br>\n<b>Industry Echo: Major Tech Firms Hitting the Brakes</b><br><br>\nMeta is not alone. Token bill pressures are resonating across the tech industry.<br><br>\nReports indicate Amazon recently shut down an internal AI leaderboard because employees were performing unnecessary operations to \"boost scores,\" causing a sharp rise in compute costs. Amazon has also begun using a metric called \"standardized deployment\" to evaluate whether engineers regularly use AI to generate useful code, rather than simply measuring token consumption.<br><br>\nFurthermore, reports suggest Uber and ServiceNow exhausted their annual budgets for Anthropic tools early in 2026. ServiceNow is also monitoring daily employee usage to track and compress costs. Venture capital firms are setting AI usage caps for employees due to daily token fees often reaching thousands of dollars.<br><br>\nAgainst this backdrop, rumors of OpenAI's price cuts carry deeper significance.<br><br>\nReports state OpenAI is considering significant reductions in token fees charged to users, partly to get ahead of potential similar moves by Anthropic.<br><br>\nOpenAI's CEO Sam Altman recently acknowledged that AI usage costs are \"a huge problem\" and stated the company would \"help people get more value for less money.\"<br><br>\nThe timing of this statement is notable—OpenAI has confidentially filed for an IPO this week, and Anthropic is also on a countdown to its public listing. While price cuts can help win enterprise clients, they directly erode profit margins for both companies, which are currently losing billions due to the massive compute power required for their AI systems.<br><br>\n<b>Token Index Decline: What is the Market Repricing?</b><br><br>\nCapital markets are already feeling the chill.<br><br>\nThe Silicon Data LLM Token Spending Index has fallen for seven consecutive trading days as of June 11, marking its longest losing streak since January, with declines recorded in 11 of the past 12 days.<br><br>\nThis index measures the average payment level per million tokens used across the market. It more than doubled since December last year and continued climbing until May 2026 before sharply reversing course.<br><br>\nA macro strategist described this chart as \"the single most important chart in the entire market right now,\" warning that if token pricing continues to weaken, the trading logic for related investments from memory to broader hardware and data centers in this cycle could face an end.<br><br>\nWall Street interpretations vary. JPMorgan characterizes the current trend as a \"minimal speed bump,\" while Citadel points out that the core constraint for AI adoption has shifted from \"the most capable model\" to \"cost and scarcity,\" with users accelerating their migration to cheaper models.<br><br>\nBehind this divergence lies a more fundamental valuation question: Is the decline in token consumption a signal of peak AI demand, or the result of users rationally choosing lower-cost models? The answer will directly impact capital expenditure expectations and valuation logic for companies like Nvidia, cloud providers, and the entire AI hardware supply chain.<br><br>\n<b>A Turning Point for the Commercial Narrative</b><br><br>\nFrom a broader perspective, Meta's move to restrict AI usage reflects a deeper shift in the generative AI commercialization narrative.<br><br>\nOver the past three years, the AI industry has undergone a three-stage evolution: from subsidizing users to gain adoption, to monthly subscriptions hiding costs, to per-token billing triggering an enterprise bill crisis. Now, as the growth narrative of \"more token consumption is better\" reaches its limit, the industry faces not just a pricing decision, but a more fundamental challenge of business model reconstruction.<br><br>\nMeta is investing a massive annual capital expenditure, partly to expand AI infrastructure including data centers, AI chips, and talent recruitment. Simultaneously, the company faces pressure from investors to generate visible returns from its enormous AI investments—Meta has already launched paid subscription tiers in Facebook, Instagram, and WhatsApp and plans to charge businesses using its AI business agents.<br><br>\nHowever, if even Meta's internal AI usage costs have become unsustainable, the profitability prospects of its enterprise AI agent business also face scrutiny. For the entire industry, how to tell the next chapter of the commercialization story remains an unanswered question.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Following Amazon, Meta Imposes Limits on AI Usage. As Tech Giants Reel from Token Costs, Should AI Model Leaders Focus on Profit Margins?</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFollowing Amazon, Meta Imposes Limits on AI Usage. As Tech Giants Reel from Token Costs, Should AI Model Leaders Focus on Profit Margins?\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1039043262\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/8296859682db4b478146245e72de1922);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Deep News </p>\n<p class=\"h-time\">2026-06-13 19:49</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>After <b>Amazon.com</b> (<b>AMZN</b>), <b>Meta Platforms, Inc.</b> (<b>META</b>) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being challenged by the soaring costs it generates.<br><br>\nAccording to reports, Meta sent an internal memo to approximately 6,000 employees this week, announcing it will set caps on employee token usage and build a real-time tracking platform to curb the exponential growth of internal AI costs.<br><br>\nThe memo stated that Meta's internal AI usage alone is projected to cost tens of billions of dollars by 2026. This move comes after Meta previously encouraged employees to integrate AI tools into their daily workflows, a strategy it is now forced to abruptly reverse.<br><br>\nConcurrently, reports indicate OpenAI is considering significant token price cuts to attract enterprise clients. Meanwhile, the Silicon Data LLM Token Spending Index, which reflects market willingness to pay for AI, has fallen for seven consecutive trading days—its longest losing streak since January this year.<br><br>\nThese combined signals have rapidly heightened market skepticism about the sustainability of AI commercialization. For investors, the core question is no longer whether AI demand exists, but rather: when tech giants themselves start scrutinizing their token bills, how much profit margin remains for the large AI model providers?<br><br>\n<b>The Uncontrolled Token Bill: Meta's Internal \"Spending Spree\"</b><br><br>\nThe direct catalyst for Meta tightening AI usage was a frenzy of token consumption fueled by internal incentives.<br><br>\nLast November, Meta explicitly told employees that demonstrating \"AI-driven work results\" would be a \"core performance requirement\" this year, with top performers receiving rewards. This directive led to an unintended consequence this spring: some employees engaged in a competition dubbed \"tokenmaxxing,\" vying for spots on an internal leaderboard called \"Claudeonomics,\" which ranked the top 250 employees by token usage.<br><br>\nInternal data shows employees consumed 60.2 trillion tokens in a 30-day period, with the figure later climbing to 73.7 trillion, leading to the leaderboard being taken down. Some employees reportedly instructed AI agents to run multiple tasks simultaneously to artificially inflate token consumption.<br><br>\nMeta's Chief Technology Officer Andrew Bosworth warned in an April memo that \"nobody should be using AI just to use AI,\" stressing that \"Token usage is not a measure of impact in any sense.\" However, mere warnings proved insufficient to halt the rising costs.<br><br>\n<b>Systematic Response: The AI Gateway and Internal Tool Substitution</b><br><br>\nFaced with runaway spending, Meta is implementing a systematic cost-control mechanism.<br><br>\nAccording to the internal memo, Meta has built a central dashboard called \"AI Gateway\" for real-time monitoring of company-wide AI usage and expenditure, with plans to add automated alerts for abnormal consumption spikes. The company intends to roll out these control tools to a broader employee base in the coming weeks and establish a more structured token budget allocation system by 2027.<br><br>\nSimultaneously, Meta is pushing employees to shift from third-party AI tools to in-house solutions. Its new Applied AI Engineering department is tasking engineers with improving the internal coding assistant MetaCode (formerly Devmate), aiming to reduce reliance on Anthropic's Claude, which is currently the primary tool for Meta's engineers in coding work.<br><br>\nIt's noted that Meta is not completely blocking access to third-party models; employees can still use tools from OpenAI, Anthropic, and Google, but internal tools will be explicitly prioritized.<br><br>\n<b>Industry Echo: Major Tech Firms Hitting the Brakes</b><br><br>\nMeta is not alone. Token bill pressures are resonating across the tech industry.<br><br>\nReports indicate Amazon recently shut down an internal AI leaderboard because employees were performing unnecessary operations to \"boost scores,\" causing a sharp rise in compute costs. Amazon has also begun using a metric called \"standardized deployment\" to evaluate whether engineers regularly use AI to generate useful code, rather than simply measuring token consumption.<br><br>\nFurthermore, reports suggest Uber and ServiceNow exhausted their annual budgets for Anthropic tools early in 2026. ServiceNow is also monitoring daily employee usage to track and compress costs. Venture capital firms are setting AI usage caps for employees due to daily token fees often reaching thousands of dollars.<br><br>\nAgainst this backdrop, rumors of OpenAI's price cuts carry deeper significance.<br><br>\nReports state OpenAI is considering significant reductions in token fees charged to users, partly to get ahead of potential similar moves by Anthropic.<br><br>\nOpenAI's CEO Sam Altman recently acknowledged that AI usage costs are \"a huge problem\" and stated the company would \"help people get more value for less money.\"<br><br>\nThe timing of this statement is notable—OpenAI has confidentially filed for an IPO this week, and Anthropic is also on a countdown to its public listing. While price cuts can help win enterprise clients, they directly erode profit margins for both companies, which are currently losing billions due to the massive compute power required for their AI systems.<br><br>\n<b>Token Index Decline: What is the Market Repricing?</b><br><br>\nCapital markets are already feeling the chill.<br><br>\nThe Silicon Data LLM Token Spending Index has fallen for seven consecutive trading days as of June 11, marking its longest losing streak since January, with declines recorded in 11 of the past 12 days.<br><br>\nThis index measures the average payment level per million tokens used across the market. It more than doubled since December last year and continued climbing until May 2026 before sharply reversing course.<br><br>\nA macro strategist described this chart as \"the single most important chart in the entire market right now,\" warning that if token pricing continues to weaken, the trading logic for related investments from memory to broader hardware and data centers in this cycle could face an end.<br><br>\nWall Street interpretations vary. JPMorgan characterizes the current trend as a \"minimal speed bump,\" while Citadel points out that the core constraint for AI adoption has shifted from \"the most capable model\" to \"cost and scarcity,\" with users accelerating their migration to cheaper models.<br><br>\nBehind this divergence lies a more fundamental valuation question: Is the decline in token consumption a signal of peak AI demand, or the result of users rationally choosing lower-cost models? The answer will directly impact capital expenditure expectations and valuation logic for companies like Nvidia, cloud providers, and the entire AI hardware supply chain.<br><br>\n<b>A Turning Point for the Commercial Narrative</b><br><br>\nFrom a broader perspective, Meta's move to restrict AI usage reflects a deeper shift in the generative AI commercialization narrative.<br><br>\nOver the past three years, the AI industry has undergone a three-stage evolution: from subsidizing users to gain adoption, to monthly subscriptions hiding costs, to per-token billing triggering an enterprise bill crisis. Now, as the growth narrative of \"more token consumption is better\" reaches its limit, the industry faces not just a pricing decision, but a more fundamental challenge of business model reconstruction.<br><br>\nMeta is investing a massive annual capital expenditure, partly to expand AI infrastructure including data centers, AI chips, and talent recruitment. Simultaneously, the company faces pressure from investors to generate visible returns from its enormous AI investments—Meta has already launched paid subscription tiers in Facebook, Instagram, and WhatsApp and plans to charge businesses using its AI business agents.<br><br>\nHowever, if even Meta's internal AI usage costs have become unsustainable, the profitability prospects of its enterprise AI agent business also face scrutiny. For the entire industry, how to tell the next chapter of the commercialization story remains an unanswered question.</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"BK4561":"索罗斯持仓","LU1935042488.USD":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME  \"AA\" (USD) INC","LU2168563687.JPY":"AZ ALLOCATION - TREND \"AAZ\" (JPYHDG) ACC","LU1935042991.SGD":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME  \"AA\" (SGDHDG) INC","IE00BKPKM429.USD":"NEUBERGER BERMAN GLOBAL SUSTAINABLE EQUITY \"A\" (USD) ACC","LU2168564149.EUR":"AZ ALLOCATION - TREND \"BAZ\" (EUR) ACC","IE00B4YYXB79.USD":"PIMCO BALANCED INCOME AND GROWTH \"E\" (USD) ACC","LU0251142724.SGD":"Fidelity America A-SGD","IE00BZ1G4Q59.USD":"LEGG MASON CLEARBRIDGE US EQUITY SUSTAINABILITY LEADER \"A\"(USD) INC (A)","SG9999015986.USD":"LIONGLOBAL DISRUPTIVE INNOVATION \"I\" (USD) ACC","LU0077335932.USD":"FIDELITY AMERICAN GROWTH \"A\" INC","LU0444971666.USD":"天利全球科技基金","LU1917777945.USD":"安联专题基金Cl AT Acc","LU1720051017.SGD":"Allianz Global Artificial Intelligence AT Acc H2-SGD","LU1244550221.USD":"FRANKLIN GLOBAL MULTI-ASSET  INCOME \"A\" (USDHEDGED) INC (M)","LU0823434740.USD":"BNP PARIBAS US GROWTH \"C\" (USD) INC","LU0149725797.USD":"汇丰美国股市经济规模基金","LU0109392836.USD":"富兰克林科技股A","LU0823434583.USD":"BNP PARIBAS US GROWTH \"C\" (USD) ACC","LU0882574139.USD":"富达环球消费行业基金A ACC","SG9999015945.SGD":"LionGlobal Disruptive Innovation Fund A SGD","LU0211328371.USD":"TEMPLETON GLOBAL EQUITY INCOME \"A\" (MDIS) (USD)   INC","LU1992135399.USD":"Allianz Global Intelligent Cities AT Acc USD","LU0784385170.HKD":"BGF GLOBAL MULTI ASSET INCOME \"A6\" (HKDHGD) INC","LU0072461881.USD":"BGF US BASIC VALUE \"A2\" ACC","LU0133085943.USD":"T ROWE PRICE US BLUE CHIP EQUITY \"A\" ACC","LU0276348264.USD":"THREADNEEDLE (LUX) GLOBAL DYNAMIC REAL RETURN\"AUP\" (USD) INC","BK4543":"AI","LU0174119429.USD":"T ROWE PRICE US LARGE CAP GROWTH EQUITY \"A\" ACC","LU1861127337.USD":"ALLIANZ GLOBAL MULTI ASSET SUSTAINABILITY BALANCED \"AMG\" (USD) INC","LU2063271972.USD":"富兰克林创新领域基金","LU2462591350.SGD":"T ROWE PRICE US LARGE CAP GROWTH EQUITY \"AN\" (SGDHDG) ACC","LU1242518931.SGD":"Fullerton Lux Funds - Asia Absolute Alpha A Acc SGD","LU1935043536.SGD":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME \"AA\" (SGDHDG) INC A","LU0345768153.USD":"NINETY ONE GSF GLOBAL STRATEGIC MANAGED \"A\" (USD) ACC","LU1839511570.USD":"WELLS FARGO GLOBAL FACTOR ENHANCED EQUITY \"I\" (USD) ACC","LU0784383803.USD":"BGF GLOBAL MULTI-ASSET INCOME FUND \"A\" (USD) INC A","LU2463028550.USD":"AB SICAV I AMERICAN MULTI-ASSET PORTFOLIO \"A\" (USD) ACC","LU1934455277.USD":"AB SICAV I LOW VOLATILITY TOTAL RETURN EQUITY PORT \"AD\" (USD) INC","LU0265550359.USD":"BGF SYSTEMATIC GLOBAL ENHANCED EQUITY YIELD \"A2\" (USD) ACC","LU1989764664.SGD":"CPR Invest - Global Disruptive Opportunities A2 Acc SGD-H","LU2023250504.SGD":"Allianz Thematica Cl AMg DIS H2-SGD","LU1496350171.SGD":"FRANKLIN DIVERSIFIED BALANCED \"A\" (SGDHDG) ACC","SG9999000418.SGD":"Aberdeen Standard Global Technology SGD","LU0198837287.USD":"UBS (LUX) EQUITY SICAV - USA GROWTH \"P\" (USD) ACC","LU1989764748.USD":"东方汇理环球颠覆性机遇A2 Acc","LU0820561909.HKD":"ALLIANZ INCOME AND GROWTH \"AM\" (HKD) INC","BK4592":"伊斯兰概念","LU1934455194.USD":"AB SICAV I LOW VOLATILITY TOTAL RETURN EQUITY PORT \"A\" (USD) ACC","LU1883839398.USD":"AMUNDI FUNDS INCOME OPPORTUNITIES \"A2\" (USD) ACC","LU1642822529.SGD":"THREADNEEDLE (LUX) GLOBAL TECHNOLOGY \"A\" (SGD) ACC","LU2637965513.SGD":"BGF GLOBAL ALLOCATION \"A10\" (SGDHDG) INC","IE0034235303.USD":"PINEBRIDGE US RESEARCH ENHANCED CORE EQUITY \"A\" (USD) ACC","BK4548":"巴美列捷福持仓","LU0215105999.USD":"SCHRODER ISF GLOBAL EQUITY \"A\" ACC","IE00B5TLWC47.USD":"BNY MELLON LONG-TERM GLOBAL EQUITY \"B\" (USD) ACC","LU0689472784.USD":"安联收益及增长基金Cl AM AT Acc","LU0225283273.USD":"SCHRODER ISF GLOBAL EQUITY ALPHA \"A\" (USD) ACC","IE00B1BXHZ80.USD":"Legg Mason ClearBridge - US Appreciation A Acc USD","LU0267386448.USD":"FIDELITY FIRST ALL COUNTRY WORLD \"A\" (USD) INC","BK4554":"元宇宙及AR概念","LU1064131342.USD":"Fullerton Lux Funds - Global Absolute Alpha A Acc USD","LU0786609619.USD":"高盛全球千禧一代股票组合Acc","LU1992135472.HKD":"ALLIANZ GLOBAL INTELLIGENT CITIES \"AT\" (HKD) ACC","BK4585":"ETF&股票定投概念","LU0310799852.SGD":"FTIF - Templeton Global Equity Income A MDIS SGD","LU0203345920.USD":"SCHRODER ISF QEP GLB ACT. 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LONG TERM THEMES (USD) \"P\" (USD) ACC","LU0912757837.SGD":"JPMorgan Investment Funds - Global Income A (mth) SGD-H","LU0312595415.SGD":"Schroder ISF Global Climate Change Equity A Acc SGD","LU2168564495.EUR":"AZ ALLOCATION - TREND \"AI\" (EUR) ACC","LU0889565833.HKD":"FRANKLIN TECHNOLOGY \"A\" (HKD) ACC","LU1778281490.HKD":"HSBC GIF GLOBAL LOWER CARBON EQUITY \"AD\" (HKD) INC","LU2168564222.USD":"AZ ALLOCATION - TREND \"AAZ\" (USDHDG) ACC","SGXZ51526630.SGD":"大华环球创新基金A Acc SGD","LU2168564065.EUR":"AZ ALLOCATION - TREND \"AAZ\" (EUR) ACC"},"source_url":"","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1140497679","content_text":"After Amazon.com (AMZN), Meta Platforms, Inc. (META) is also restricting AI usage, highlighting a critical and often overlooked industry conflict: the very logic of AI commercialization is being challenged by the soaring costs it generates.\nAccording to reports, Meta sent an internal memo to approximately 6,000 employees this week, announcing it will set caps on employee token usage and build a real-time tracking platform to curb the exponential growth of internal AI costs.\nThe memo stated that Meta's internal AI usage alone is projected to cost tens of billions of dollars by 2026. This move comes after Meta previously encouraged employees to integrate AI tools into their daily workflows, a strategy it is now forced to abruptly reverse.\nConcurrently, reports indicate OpenAI is considering significant token price cuts to attract enterprise clients. Meanwhile, the Silicon Data LLM Token Spending Index, which reflects market willingness to pay for AI, has fallen for seven consecutive trading days—its longest losing streak since January this year.\nThese combined signals have rapidly heightened market skepticism about the sustainability of AI commercialization. For investors, the core question is no longer whether AI demand exists, but rather: when tech giants themselves start scrutinizing their token bills, how much profit margin remains for the large AI model providers?\nThe Uncontrolled Token Bill: Meta's Internal \"Spending Spree\"\nThe direct catalyst for Meta tightening AI usage was a frenzy of token consumption fueled by internal incentives.\nLast November, Meta explicitly told employees that demonstrating \"AI-driven work results\" would be a \"core performance requirement\" this year, with top performers receiving rewards. This directive led to an unintended consequence this spring: some employees engaged in a competition dubbed \"tokenmaxxing,\" vying for spots on an internal leaderboard called \"Claudeonomics,\" which ranked the top 250 employees by token usage.\nInternal data shows employees consumed 60.2 trillion tokens in a 30-day period, with the figure later climbing to 73.7 trillion, leading to the leaderboard being taken down. Some employees reportedly instructed AI agents to run multiple tasks simultaneously to artificially inflate token consumption.\nMeta's Chief Technology Officer Andrew Bosworth warned in an April memo that \"nobody should be using AI just to use AI,\" stressing that \"Token usage is not a measure of impact in any sense.\" However, mere warnings proved insufficient to halt the rising costs.\nSystematic Response: The AI Gateway and Internal Tool Substitution\nFaced with runaway spending, Meta is implementing a systematic cost-control mechanism.\nAccording to the internal memo, Meta has built a central dashboard called \"AI Gateway\" for real-time monitoring of company-wide AI usage and expenditure, with plans to add automated alerts for abnormal consumption spikes. The company intends to roll out these control tools to a broader employee base in the coming weeks and establish a more structured token budget allocation system by 2027.\nSimultaneously, Meta is pushing employees to shift from third-party AI tools to in-house solutions. Its new Applied AI Engineering department is tasking engineers with improving the internal coding assistant MetaCode (formerly Devmate), aiming to reduce reliance on Anthropic's Claude, which is currently the primary tool for Meta's engineers in coding work.\nIt's noted that Meta is not completely blocking access to third-party models; employees can still use tools from OpenAI, Anthropic, and Google, but internal tools will be explicitly prioritized.\nIndustry Echo: Major Tech Firms Hitting the Brakes\nMeta is not alone. Token bill pressures are resonating across the tech industry.\nReports indicate Amazon recently shut down an internal AI leaderboard because employees were performing unnecessary operations to \"boost scores,\" causing a sharp rise in compute costs. Amazon has also begun using a metric called \"standardized deployment\" to evaluate whether engineers regularly use AI to generate useful code, rather than simply measuring token consumption.\nFurthermore, reports suggest Uber and ServiceNow exhausted their annual budgets for Anthropic tools early in 2026. ServiceNow is also monitoring daily employee usage to track and compress costs. Venture capital firms are setting AI usage caps for employees due to daily token fees often reaching thousands of dollars.\nAgainst this backdrop, rumors of OpenAI's price cuts carry deeper significance.\nReports state OpenAI is considering significant reductions in token fees charged to users, partly to get ahead of potential similar moves by Anthropic.\nOpenAI's CEO Sam Altman recently acknowledged that AI usage costs are \"a huge problem\" and stated the company would \"help people get more value for less money.\"\nThe timing of this statement is notable—OpenAI has confidentially filed for an IPO this week, and Anthropic is also on a countdown to its public listing. While price cuts can help win enterprise clients, they directly erode profit margins for both companies, which are currently losing billions due to the massive compute power required for their AI systems.\nToken Index Decline: What is the Market Repricing?\nCapital markets are already feeling the chill.\nThe Silicon Data LLM Token Spending Index has fallen for seven consecutive trading days as of June 11, marking its longest losing streak since January, with declines recorded in 11 of the past 12 days.\nThis index measures the average payment level per million tokens used across the market. It more than doubled since December last year and continued climbing until May 2026 before sharply reversing course.\nA macro strategist described this chart as \"the single most important chart in the entire market right now,\" warning that if token pricing continues to weaken, the trading logic for related investments from memory to broader hardware and data centers in this cycle could face an end.\nWall Street interpretations vary. JPMorgan characterizes the current trend as a \"minimal speed bump,\" while Citadel points out that the core constraint for AI adoption has shifted from \"the most capable model\" to \"cost and scarcity,\" with users accelerating their migration to cheaper models.\nBehind this divergence lies a more fundamental valuation question: Is the decline in token consumption a signal of peak AI demand, or the result of users rationally choosing lower-cost models? The answer will directly impact capital expenditure expectations and valuation logic for companies like Nvidia, cloud providers, and the entire AI hardware supply chain.\nA Turning Point for the Commercial Narrative\nFrom a broader perspective, Meta's move to restrict AI usage reflects a deeper shift in the generative AI commercialization narrative.\nOver the past three years, the AI industry has undergone a three-stage evolution: from subsidizing users to gain adoption, to monthly subscriptions hiding costs, to per-token billing triggering an enterprise bill crisis. Now, as the growth narrative of \"more token consumption is better\" reaches its limit, the industry faces not just a pricing decision, but a more fundamental challenge of business model reconstruction.\nMeta is investing a massive annual capital expenditure, partly to expand AI infrastructure including data centers, AI chips, and talent recruitment. Simultaneously, the company faces pressure from investors to generate visible returns from its enormous AI investments—Meta has already launched paid subscription tiers in Facebook, Instagram, and WhatsApp and plans to charge businesses using its AI business agents.\nHowever, if even Meta's internal AI usage costs have become unsustainable, the profitability prospects of its enterprise AI agent business also face scrutiny. For the entire industry, how to tell the next chapter of the commercialization story remains an unanswered question.","news_type":1,"symbols_score_info":{"METU":1,"AMZP":1,"FBY":1,"META":1,"AZYY":1,"AMZU":1,"METW":1,"AMZY":1,"AMZN":1,"FBYY":1,"USAW.SI":1,"AMZW":1,"METD":1,"AMZZ":1,"FBL":1,"AMZD":1}},"isVote":1,"tweetType":1,"viewCount":561,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":573833561872072,"gmtCreate":1781104382513,"gmtModify":1781104385688,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Seems quite hopeless..let it crash another 50%","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Seems quite hopeless..let it crash another 50%","text":"$Meta Platforms, Inc.(META)$ Seems quite hopeless..let it crash another 50%","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/573833561872072","isVote":1,"tweetType":1,"viewCount":943,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":570850439562848,"gmtCreate":1780399526703,"gmtModify":1780401092345,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> zuckerberg better buck up..else they may drop out from Mag 7 soon..","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> zuckerberg better buck up..else they may drop out from Mag 7 soon..","text":"$Meta Platforms, Inc.(META)$ zuckerberg better buck up..else they may drop out from Mag 7 soon..","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/570850439562848","isVote":1,"tweetType":1,"viewCount":954,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":562059431735416,"gmtCreate":1778253239519,"gmtModify":1778254702403,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Mark zuckerberg only have himself to blame..let the price plunge another 50%","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Mark zuckerberg only have himself to blame..let the price plunge another 50%","text":"$Meta Platforms, Inc.(META)$ Mark zuckerberg only have himself to blame..let the price plunge another 50%","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/562059431735416","isVote":1,"tweetType":1,"viewCount":1480,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":562057435521656,"gmtCreate":1778252846643,"gmtModify":1778252849650,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Looks like everyone is dumping this stock..","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Looks like everyone is dumping this stock..","text":"$Meta Platforms, Inc.(META)$ Looks like everyone is dumping this stock..","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/562057435521656","isVote":1,"tweetType":1,"viewCount":950,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":529548091040736,"gmtCreate":1770305765424,"gmtModify":1770305768882,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/GOOG\">$Alphabet(GOOG)$&nbsp;</a>Are we seeing start of market meltdown ?&nbsp;","listText":"<a href=\"https://ttm.financial/S/GOOG\">$Alphabet(GOOG)$&nbsp;</a>Are we seeing start of market meltdown ?&nbsp;","text":"$Alphabet(GOOG)$ Are we seeing start of market meltdown ?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/529548091040736","isVote":1,"tweetType":1,"viewCount":1812,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":529545639826768,"gmtCreate":1770305178889,"gmtModify":1770305182452,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/MSFT\">$Microsoft(MSFT)$&nbsp;</a> Markets plunging everyday..hope the selldown will end soon","listText":"<a href=\"https://ttm.financial/S/MSFT\">$Microsoft(MSFT)$&nbsp;</a> Markets plunging everyday..hope the selldown will end soon","text":"$Microsoft(MSFT)$ Markets plunging everyday..hope the selldown will end soon","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/529545639826768","isVote":1,"tweetType":1,"viewCount":1448,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":529189959504552,"gmtCreate":1770218933352,"gmtModify":1770218936735,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/MSFT\">$Microsoft(MSFT)$&nbsp;</a> Those who short the stock are scrambling to cover their positions","listText":"<a href=\"https://ttm.financial/S/MSFT\">$Microsoft(MSFT)$&nbsp;</a> Those who short the stock are scrambling to cover their positions","text":"$Microsoft(MSFT)$ Those who short the stock are scrambling to cover their positions","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":8,"commentSize":1,"repostSize":2,"link":"https://ttm.financial/post/529189959504552","isVote":1,"tweetType":1,"viewCount":2453,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":521721971736888,"gmtCreate":1768408646413,"gmtModify":1768408649863,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4135831911794872","authorIdStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Maybe meta will slip to 500","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Maybe meta will slip to 500","text":"$Meta Platforms, Inc.(META)$ Maybe meta will slip to 500","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":4,"repostSize":0,"link":"https://ttm.financial/post/521721971736888","isVote":1,"tweetType":1,"viewCount":2799,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"hots":[{"id":521721971736888,"gmtCreate":1768408646413,"gmtModify":1768408649863,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Maybe meta will slip to 500","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> Maybe meta will slip to 500","text":"$Meta Platforms, Inc.(META)$ Maybe meta will slip to 500","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":4,"repostSize":0,"link":"https://ttm.financial/post/521721971736888","isVote":1,"tweetType":1,"viewCount":2799,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":588942691509248,"gmtCreate":1784814943746,"gmtModify":1784814946769,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/.SPX\">$S&amp;P 500(.SPX)$&nbsp;</a> Sigh..they never learn their lesson","listText":"<a href=\"https://ttm.financial/S/.SPX\">$S&amp;P 500(.SPX)$&nbsp;</a> Sigh..they never learn their lesson","text":"$S&P 500(.SPX)$ Sigh..they never learn their lesson","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/588942691509248","repostId":"2653938577","repostType":2,"repost":{"id":"2653938577","kind":"highlight","weMediaInfo":{"introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"media_name":"Reuters","id":"1032215980","head_image":"https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48"},"pubTimestamp":1784814086,"share":"https://ttm.financial/m/news/2653938577?lang=en_US&edition=fundamental","pubTime":"2026-07-23 21:41","market":"us","language":"en","title":"Alphabet Stock Falls 6% as Google Increases Capex Forecast Again After Cloud-Driven Quarterly Beat","url":"https://stock-news.laohu8.com/highlight/detail?id=2653938577","media":"Reuters","summary":"Alphabet's Q2 revenue beats estimates on Cloud, Search strengthOverviewU.S. search and cloud giant's Q2 revenue rose 24% yr/yr, beating analyst expectationsEPS surged 294% to $9.11, driven by net unre","content":"<html><head></head><body><p style=\"text-align: left;\">Alphabet on Wednesday reported its best-ever quarter of growth for its cloud computing division, but faced investor scrutiny after concerns about continued delays to its flagship AI model were aggravated by a $15 billion increase in capital spending ‌plans for 2026.</p><p style=\"text-align: left;\">The search giant now expects to spend between $195 billion and $205 billion in capital expenditures, its finance chief Anat Ashkenazi said on a conference call with analysts. The company said last quarter that it planned to spend between $180 billion and $190 billion this year.</p><p style=\"text-align: left;\">Shares of the company were down about 6%.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/5d948a7ee9a27c86fc3e8199258df0b3\" data-align=\"center\" tg-width=\"696\" tg-height=\"618\"/><span></span></p><p style=\"text-align: left;\">&#34;We have increased our capacity quite significantly over the past three years. The demand still outpaces that investment,&#34; Ashkenazi said in justifying the increased spending plans. She added that faster-than-expected delivery of capacity contributed to the hike.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/375e589011816344c05577507ffc54b8\" data-align=\"center\" tg-width=\"1080\" tg-height=\"1080\"/><span></span></p><p style=\"text-align: left;\">Revenue at Google Cloud rose 82% to $24.8 billion during the quarter ended June, driven by strong demand from ⁠AI-hungry enterprises worldwide. Analysts on average expected a 64% increase, according to data compiled by LSEG.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/ee0a4a0308f899563e8def6ae5619caa\" data-align=\"center\" tg-width=\"731\" tg-height=\"463\"/><span></span></p><p style=\"text-align: left;\">Advertising revenue came in at $81.6 billion compared to estimates of $81.1 billion. Total revenue for the quarter was $119.8 billion, beating the consensus estimate of $116.9 billion.</p><p style=\"text-align: left;\">But, adjusted profit per share of $2.85 fell slightly short of Wall Street projections of $2.89. And the company reported negative free cash flow for the first time in its history, burning $5.9 billion this quarter.</p><p style=\"text-align: left;\">&#34;After a negative cash flow quarter, the new raise in capex does not sit well for Alphabet,&#34; said Thomas Monteiro, senior analyst at Investing.com. &#34;The market&#39;s most reliable cash generators are now spending more than they bring in. As long as revenue keeps accelerating, investors will tolerate it. But capital has a real cost again, and the room for error is shrinking every quarter.&#34;</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/e427ed38fd5a5e5abc26a3ea5aa014ca\" data-align=\"center\" tg-width=\"735\" tg-height=\"483\"/><span></span></p><h4 style=\"text-align: left;\"><strong>MODEL UNCERTAINTY TEMPERS CLOUD GAINS</strong></h4><p style=\"text-align: left;\">While Google Cloud has made Alphabet a big beneficiary of the AI boom, the company&#39;s own AI efforts have lost some steam this year after it <u>delayed</u> the June launch of its next flagship model, Gemini 3.5 Pro.</p><p style=\"text-align: left;\">That has left Google trailing in the AI coding tools market and fueled concerns on Wall Street, especially as Anthropic and OpenAI have ‌consistently rolled ⁠out enterprise-focused upgrades, and Chinese open-source models have also gained strong traction.</p><p style=\"text-align: left;\">During the question-and-answer portion of the earnings call, multiple analysts pressed CEO Sundar Pichai for clarity around whether Google could keep with its rivals at the frontier of model development.</p><p style=\"text-align: left;\">&#34;There are many attributes on which we are still at the frontier. There are areas where we&#39;ve acknowledged we need to improve; coding and agentic coding is an example of that,&#34; Pichai said on the call.</p><p style=\"text-align: left;\">Pichai said that while Google continued to test Gemini 3.5 Pro, it had also started training Gemini 4 and was &#34;applying a lot of our compute and effort in that direction&#34; in order to ⁠remain competitive.</p><p style=\"text-align: left;\">&#34;We are both very committed and very confident of being at the frontier for the next generation,&#34; he said.</p><p style=\"text-align: left;\">Meanwhile, Google began recognizing revenue from direct sales of its TPU chips, which compete with Nvidia&#39;s GPUs, for the first time in the second quarter though the vast majority of revenue from business agreements would come through next year, Ashkenazi said.</p><p style=\"text-align: left;\">The third-largest cloud services provider behind Amazon Web Services and Microsoft, Google has seen ⁠demand surge as companies race to secure the cloud capacity needed to develop, train and run AI models, helping it land major deals with firms, including Anthropic.</p><p style=\"text-align: left;\">Big Tech is expected to spend well over $700 billion this year primarily on AI, while Morgan Stanley has pegged the estimated spend at more than $1 trillion for the next year.</p><p style=\"text-align: left;\">Ashkenazi reaffirmed on the call that Alphabet planned another significant ⁠increase to capex in 2027.</p><p style=\"text-align: left;\">Alphabet shares have been among the best performers in the &#34;Magnificent 7&#34; group of stocks this year so far, rising more than 9% through last close. But concerns over the Gemini delays, some high-profile executive departures and regulatory pressures have dragged the stock about 9% lower since the end of April.<br/></p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Alphabet Stock Falls 6% as Google Increases Capex Forecast Again After Cloud-Driven Quarterly Beat</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nAlphabet Stock Falls 6% as Google Increases Capex Forecast Again After Cloud-Driven Quarterly Beat\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1032215980\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2026-07-23 21:41</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p style=\"text-align: left;\">Alphabet on Wednesday reported its best-ever quarter of growth for its cloud computing division, but faced investor scrutiny after concerns about continued delays to its flagship AI model were aggravated by a $15 billion increase in capital spending ‌plans for 2026.</p><p style=\"text-align: left;\">The search giant now expects to spend between $195 billion and $205 billion in capital expenditures, its finance chief Anat Ashkenazi said on a conference call with analysts. The company said last quarter that it planned to spend between $180 billion and $190 billion this year.</p><p style=\"text-align: left;\">Shares of the company were down about 6%.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/5d948a7ee9a27c86fc3e8199258df0b3\" data-align=\"center\" tg-width=\"696\" tg-height=\"618\"/><span></span></p><p style=\"text-align: left;\">&#34;We have increased our capacity quite significantly over the past three years. The demand still outpaces that investment,&#34; Ashkenazi said in justifying the increased spending plans. She added that faster-than-expected delivery of capacity contributed to the hike.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/375e589011816344c05577507ffc54b8\" data-align=\"center\" tg-width=\"1080\" tg-height=\"1080\"/><span></span></p><p style=\"text-align: left;\">Revenue at Google Cloud rose 82% to $24.8 billion during the quarter ended June, driven by strong demand from ⁠AI-hungry enterprises worldwide. Analysts on average expected a 64% increase, according to data compiled by LSEG.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/ee0a4a0308f899563e8def6ae5619caa\" data-align=\"center\" tg-width=\"731\" tg-height=\"463\"/><span></span></p><p style=\"text-align: left;\">Advertising revenue came in at $81.6 billion compared to estimates of $81.1 billion. Total revenue for the quarter was $119.8 billion, beating the consensus estimate of $116.9 billion.</p><p style=\"text-align: left;\">But, adjusted profit per share of $2.85 fell slightly short of Wall Street projections of $2.89. And the company reported negative free cash flow for the first time in its history, burning $5.9 billion this quarter.</p><p style=\"text-align: left;\">&#34;After a negative cash flow quarter, the new raise in capex does not sit well for Alphabet,&#34; said Thomas Monteiro, senior analyst at Investing.com. &#34;The market&#39;s most reliable cash generators are now spending more than they bring in. As long as revenue keeps accelerating, investors will tolerate it. But capital has a real cost again, and the room for error is shrinking every quarter.&#34;</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/e427ed38fd5a5e5abc26a3ea5aa014ca\" data-align=\"center\" tg-width=\"735\" tg-height=\"483\"/><span></span></p><h4 style=\"text-align: left;\"><strong>MODEL UNCERTAINTY TEMPERS CLOUD GAINS</strong></h4><p style=\"text-align: left;\">While Google Cloud has made Alphabet a big beneficiary of the AI boom, the company&#39;s own AI efforts have lost some steam this year after it <u>delayed</u> the June launch of its next flagship model, Gemini 3.5 Pro.</p><p style=\"text-align: left;\">That has left Google trailing in the AI coding tools market and fueled concerns on Wall Street, especially as Anthropic and OpenAI have ‌consistently rolled ⁠out enterprise-focused upgrades, and Chinese open-source models have also gained strong traction.</p><p style=\"text-align: left;\">During the question-and-answer portion of the earnings call, multiple analysts pressed CEO Sundar Pichai for clarity around whether Google could keep with its rivals at the frontier of model development.</p><p style=\"text-align: left;\">&#34;There are many attributes on which we are still at the frontier. There are areas where we&#39;ve acknowledged we need to improve; coding and agentic coding is an example of that,&#34; Pichai said on the call.</p><p style=\"text-align: left;\">Pichai said that while Google continued to test Gemini 3.5 Pro, it had also started training Gemini 4 and was &#34;applying a lot of our compute and effort in that direction&#34; in order to ⁠remain competitive.</p><p style=\"text-align: left;\">&#34;We are both very committed and very confident of being at the frontier for the next generation,&#34; he said.</p><p style=\"text-align: left;\">Meanwhile, Google began recognizing revenue from direct sales of its TPU chips, which compete with Nvidia&#39;s GPUs, for the first time in the second quarter though the vast majority of revenue from business agreements would come through next year, Ashkenazi said.</p><p style=\"text-align: left;\">The third-largest cloud services provider behind Amazon Web Services and Microsoft, Google has seen ⁠demand surge as companies race to secure the cloud capacity needed to develop, train and run AI models, helping it land major deals with firms, including Anthropic.</p><p style=\"text-align: left;\">Big Tech is expected to spend well over $700 billion this year primarily on AI, while Morgan Stanley has pegged the estimated spend at more than $1 trillion for the next year.</p><p style=\"text-align: left;\">Ashkenazi reaffirmed on the call that Alphabet planned another significant ⁠increase to capex in 2027.</p><p style=\"text-align: left;\">Alphabet shares have been among the best performers in the &#34;Magnificent 7&#34; group of stocks this year so far, rising more than 9% through last close. But concerns over the Gemini delays, some high-profile executive departures and regulatory pressures have dragged the stock about 9% lower since the end of April.<br/></p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"HK0000914660.USD":"GFI Global Select Equity Fund Class A (USD)","LU0175139822.USD":"AB FCP I Global Equity Blend A USD","BK4574":"无人驾驶","LU0143551892.USD":"T ROWE PRICE GLOBAL FOCUSED GROWTH EQUITY \"A\" (USD) ACC","LU2247934214.USD":"FIDELITY FUNDS SUSTAINABLE FUTURE CONNECTIVITY \"A\" (USD) ACC","BK4573":"虚拟现实","GOOP":"KURV YIELD PREMIUM STRATEGY GOOGLE (GOOGL) ETF","LU2462591277.SGD":"TRP GLOBAL FOCUSED GROWTH EQUITY \"AN\" (SGDHDG) ACC","LU0211326755.USD":"TEMPLETON GLOBAL INCOME \"A\" (USD) ACC","LU1571399168.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"IP\" (USD) ACC","GOOW":"Roundhill GOOGL WeeklyPay ETF","LU1720051108.HKD":"ALLIANZ GLOBAL ARTIFICIAL INTELLIGENCE \"AT\" (HKD) ACC","BK4581":"高盛持仓","LU2954938101.SGD":"T ROWE PRICE GLOBAL FOCUSED GROWTH EQUITY \"A8P\" (SGD) INC","SG9999014898.SGD":"United Global Quality Growth Fund Dis SGD","LU2275660780.HKD":"SCHRODER ISF GLOBAL CLIMATE CHANGE EQUITY \"A\" (HKD) ACC","LU2089283258.USD":"安联环球可持续基金Cl AM Dis","SG9999018865.SGD":"United Global Quality Growth Fd Cl Dist SGD-H","GOOX":"2倍做多GOOG ETF-T-REX","LU0787776722.HKD":"AB SELECT US EQUITY PORTFOLIO \"A\" (HKD) ACC","LU2999663052.SGD":"T ROWE PRICE GLOBAL FOCUSED GROWTH EQUITY \"A4P\" (SGD) INC","VOX":"电信业ETF-Vanguard","LU0444971666.USD":"天利全球科技基金","LU1323610961.USD":"UBS (LUX) EQUITY SICAV - 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The company said last quarter that it planned to spend between $180 billion and $190 billion this year.Shares of the company were down about 6%.\"We have increased our capacity quite significantly over the past three years. The demand still outpaces that investment,\" Ashkenazi said in justifying the increased spending plans. She added that faster-than-expected delivery of capacity contributed to the hike.Revenue at Google Cloud rose 82% to $24.8 billion during the quarter ended June, driven by strong demand from ⁠AI-hungry enterprises worldwide. Analysts on average expected a 64% increase, according to data compiled by LSEG.Advertising revenue came in at $81.6 billion compared to estimates of $81.1 billion. Total revenue for the quarter was $119.8 billion, beating the consensus estimate of $116.9 billion.But, adjusted profit per share of $2.85 fell slightly short of Wall Street projections of $2.89. And the company reported negative free cash flow for the first time in its history, burning $5.9 billion this quarter.\"After a negative cash flow quarter, the new raise in capex does not sit well for Alphabet,\" said Thomas Monteiro, senior analyst at Investing.com. \"The market's most reliable cash generators are now spending more than they bring in. As long as revenue keeps accelerating, investors will tolerate it. But capital has a real cost again, and the room for error is shrinking every quarter.\"MODEL UNCERTAINTY TEMPERS CLOUD GAINSWhile Google Cloud has made Alphabet a big beneficiary of the AI boom, the company's own AI efforts have lost some steam this year after it delayed the June launch of its next flagship model, Gemini 3.5 Pro.That has left Google trailing in the AI coding tools market and fueled concerns on Wall Street, especially as Anthropic and OpenAI have ‌consistently rolled ⁠out enterprise-focused upgrades, and Chinese open-source models have also gained strong traction.During the question-and-answer portion of the earnings call, multiple analysts pressed CEO Sundar Pichai for clarity around whether Google could keep with its rivals at the frontier of model development.\"There are many attributes on which we are still at the frontier. There are areas where we've acknowledged we need to improve; coding and agentic coding is an example of that,\" Pichai said on the call.Pichai said that while Google continued to test Gemini 3.5 Pro, it had also started training Gemini 4 and was \"applying a lot of our compute and effort in that direction\" in order to ⁠remain competitive.\"We are both very committed and very confident of being at the frontier for the next generation,\" he said.Meanwhile, Google began recognizing revenue from direct sales of its TPU chips, which compete with Nvidia's GPUs, for the first time in the second quarter though the vast majority of revenue from business agreements would come through next year, Ashkenazi said.The third-largest cloud services provider behind Amazon Web Services and Microsoft, Google has seen ⁠demand surge as companies race to secure the cloud capacity needed to develop, train and run AI models, helping it land major deals with firms, including Anthropic.Big Tech is expected to spend well over $700 billion this year primarily on AI, while Morgan Stanley has pegged the estimated spend at more than $1 trillion for the next year.Ashkenazi reaffirmed on the call that Alphabet planned another significant ⁠increase to capex in 2027.Alphabet shares have been among the best performers in the \"Magnificent 7\" group of stocks this year so far, rising more than 9% through last close. But concerns over the Gemini delays, some high-profile executive departures and regulatory pressures have dragged the stock about 9% lower since the end of April.","news_type":1,"symbols_score_info":{"GOOGL":1.98,"CQTM":0.6,"ILDR":0.6,"SKYY":0.6,"GGLL":0.6,"GOOG":2,"METV":0.6,"GOOW":0.6,"OGIG":0.6,"GXPC":0.6,"EFIV":0.6,"SNPE":0.6,"GOU":0.6,"GOOP":0.6,"XDAT":0.6,"GOOX":0.6,"GOOY":0.6,"XLC":0.6,"TRUC":0.6,"CMAG":0.6,"GGLS":0.6,"LTL":0.6,"FCOM":0.6,"VOX":0.6}},"isVote":1,"tweetType":1,"viewCount":367,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":592494987977512,"gmtCreate":1785678438233,"gmtModify":1785678441173,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"Meta is clueless abt its AI investment","listText":"Meta is clueless abt its AI investment","text":"Meta is clueless abt its AI investment","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/592494987977512","repostId":"2656318787","repostType":2,"repost":{"id":"2656318787","kind":"highlight","weMediaInfo":{"introduction":"Dow Jones publishes the world’s most trusted business news and financial information in a variety of media.","home_visible":0,"media_name":"Dow Jones","id":"106","head_image":"https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99"},"pubTimestamp":1785576600,"share":"https://ttm.financial/m/news/2656318787?lang=en_US&edition=fundamental","pubTime":"2026-08-01 17:30","market":"hk","language":"en","title":"Wall Street Thinks it Knows How Tech Giants Will Make AI Pay","url":"https://stock-news.laohu8.com/highlight/detail?id=2656318787","media":"Dow Jones","summary":"Investors have been fretting over how Big Tech is going to make a return on all its AI spending. Cloud computing increasingly looks like the answer.Amazon.com, Microsoft and Alphabet's Google all have","content":"<font class=\"NormalMinus1\" face=\"Arial\">\n<p>\n  Investors have been fretting over how Big Tech is going to make a return on all its AI spending. Cloud computing increasingly looks like the answer. \n</p>\n<p>\n  <a href=\"https://laohu8.com/S/AMZN\">Amazon</a>.com, Microsoft and Alphabet's Google all have cloud businesses that have grown rapidly during the AI boom. Customers including AI labs and large corporations have clamored to rent access to chips and computing equipment from them -- to such an extent that their ability to supply it is more of a limitation than demand. \n</p>\n<p>\n  And unlike a lot of the other avenues companies have proposed to reap returns from AI investments, from chatbot ad sales to subscriptions for access to AI models, cloud computing's financial model is relatively well understood. \n</p>\n<p>\n  The tech giants buy or lease buildings and computing gear, then rent it out via their cloud operations to recoup what they spent over a period of a few years. It is capital-intensive but can be highly profitable: Amazon's cloud unit, Amazon Web Services, on Thursday reported a 39% operating profit margin in the second quarter. \n</p>\n<p>\n  Amazon Chief Executive Andy Jassy tried to paint a picture of AWS as both predictable and extremely fast-growing. It takes less than three years on average to break even on purchases of computing equipment, he said, while most of its contracts with AI-computing customers are at least five years long. That leaves a lot of juice for Amazon to squeeze. \n</p>\n<p>\n  \"The resulting revenue, free cash flow and return on invested capital is very compelling,\" he said. \n</p>\n<p>\n  In the high-spending phase Amazon is going through now, it also means the company is free-cash-flow negative. Markets have been allergic to cash outflows in recent months amid concern about returns on hypsercalers' big investments. \n</p>\n<p>\n  But investors more recently seem to be coming around to the notion that Big Tech spending on AI can make sense -- as long as there is a cloud-computing business involved that can reap the benefits. \n</p>\n<p>\n  Amazon's stock surged on Friday after the company wowed Wall Street with 37% quarterly revenue growth for AWS, well above the roughly 31% analysts were projecting. Microsoft also got a massive stock-price boost after its results on Wednesday included a better-than-expected 43% revenue rise for its Azure cloud-computing unit. The two companies combined have added around $950 billion to their market values since reporting. \n</p>\n<p>\n  Google parent Alphabet's stock fell last week after it boosted capital spending for the year, but its cloud unit's 82% revenue growth has since tempered those concerns. The stock is up about 10% in the past week, more than recovering from its earlier losses. \n</p>\n<p>\n  AI is perhaps the most important driver of cloud-computing growth; companies and AI developers want more computing power, and it is easiest and often fastest to rent it in the cloud. Chunky deals with big customers are also helping inflate revenue and backlogs, like the more than $100 billion 10-year contract that AWS signed with Anthropic in April. \n</p>\n<p>\n  But there is also a shift predating the AI boom that has quietly persisted. Companies are moving more of their computing work to the cloud and using less of their own equipment. A Piper Sandler survey of IT leaders in June found they expected to boost spending by about 5% this year. Most planned to increase outlays on cloud computing, while relatively few plan to spend more on their own computing equipment. \n</p>\n<p>\n  Given those dual trends, it is a little easier to understand why Jassy suggested on Thursday that AWS could eventually grow into a $1 trillion annual revenue business, as outlandish as that figure may currently seem. Analysts expect AWS to grow to about $170 billion of revenue this year, according to FactSet. \n</p>\n<p>\n  Others are also looking to get a big piece of that expanding pie. Microsoft and Google's cloud businesses have grown faster than Amazon's for some time, to the point where they pose a legitimate threat to AWS's dominance of an industry it virtually invented two decades ago. If their growth stays above AWS's, it isn't hard to foresee them surpassing their larger competitor by the end of the decade. \n</p>\n<p>\n  Of course, none of those businesses would fare well if the AI bubble bursts. Should Anthropic, OpenAI and other big buyers of AI computing power falter, massive contracts would likely be reworked and backlogs would shrink. For cloud-computing giants, though, there is something of a reprieve: At least they could fall back on the tried-and-true business model that sustained them before AI. \n</p>\n<p>\n  That is more than can be said for other AI players without cloud businesses, perhaps most prominently <a href=\"https://laohu8.com/S/META\">Meta Platforms</a>. The social-media giant's stock is down about 5% since its earnings on Wednesday included a slight increase in the midpoint of its 2026 capital-spending range. \n</p>\n<p>\n  CEO Mark Zuckerberg said Wednesday that Meta is looking at starting a cloud-computing business of its own, but it would start far behind the three giants of the industry. \n</p>\n<p>\n  In sorting AI winners from losers, Wall Street has settled on a key differentiator. \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n</font>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Wall Street Thinks it Knows How Tech Giants Will Make AI Pay</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nWall Street Thinks it Knows How Tech Giants Will Make AI Pay\n</h2>\n\n<h4 class=\"meta\">\n\n\n<div class=\"head\" \">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Dow Jones </p>\n<p class=\"h-time\">2026-08-01 17:30</p>\n</div>\n\n</div>\n\n\n</h4>\n\n</header>\n<article>\n<font class=\"NormalMinus1\" face=\"Arial\">\n<p>\n  Investors have been fretting over how Big Tech is going to make a return on all its AI spending. Cloud computing increasingly looks like the answer. \n</p>\n<p>\n  <a href=\"https://laohu8.com/S/AMZN\">Amazon</a>.com, Microsoft and Alphabet's Google all have cloud businesses that have grown rapidly during the AI boom. Customers including AI labs and large corporations have clamored to rent access to chips and computing equipment from them -- to such an extent that their ability to supply it is more of a limitation than demand. \n</p>\n<p>\n  And unlike a lot of the other avenues companies have proposed to reap returns from AI investments, from chatbot ad sales to subscriptions for access to AI models, cloud computing's financial model is relatively well understood. \n</p>\n<p>\n  The tech giants buy or lease buildings and computing gear, then rent it out via their cloud operations to recoup what they spent over a period of a few years. It is capital-intensive but can be highly profitable: Amazon's cloud unit, Amazon Web Services, on Thursday reported a 39% operating profit margin in the second quarter. \n</p>\n<p>\n  Amazon Chief Executive Andy Jassy tried to paint a picture of AWS as both predictable and extremely fast-growing. It takes less than three years on average to break even on purchases of computing equipment, he said, while most of its contracts with AI-computing customers are at least five years long. That leaves a lot of juice for Amazon to squeeze. \n</p>\n<p>\n  \"The resulting revenue, free cash flow and return on invested capital is very compelling,\" he said. \n</p>\n<p>\n  In the high-spending phase Amazon is going through now, it also means the company is free-cash-flow negative. Markets have been allergic to cash outflows in recent months amid concern about returns on hypsercalers' big investments. \n</p>\n<p>\n  But investors more recently seem to be coming around to the notion that Big Tech spending on AI can make sense -- as long as there is a cloud-computing business involved that can reap the benefits. \n</p>\n<p>\n  Amazon's stock surged on Friday after the company wowed Wall Street with 37% quarterly revenue growth for AWS, well above the roughly 31% analysts were projecting. Microsoft also got a massive stock-price boost after its results on Wednesday included a better-than-expected 43% revenue rise for its Azure cloud-computing unit. The two companies combined have added around $950 billion to their market values since reporting. \n</p>\n<p>\n  Google parent Alphabet's stock fell last week after it boosted capital spending for the year, but its cloud unit's 82% revenue growth has since tempered those concerns. The stock is up about 10% in the past week, more than recovering from its earlier losses. \n</p>\n<p>\n  AI is perhaps the most important driver of cloud-computing growth; companies and AI developers want more computing power, and it is easiest and often fastest to rent it in the cloud. Chunky deals with big customers are also helping inflate revenue and backlogs, like the more than $100 billion 10-year contract that AWS signed with Anthropic in April. \n</p>\n<p>\n  But there is also a shift predating the AI boom that has quietly persisted. Companies are moving more of their computing work to the cloud and using less of their own equipment. A Piper Sandler survey of IT leaders in June found they expected to boost spending by about 5% this year. Most planned to increase outlays on cloud computing, while relatively few plan to spend more on their own computing equipment. \n</p>\n<p>\n  Given those dual trends, it is a little easier to understand why Jassy suggested on Thursday that AWS could eventually grow into a $1 trillion annual revenue business, as outlandish as that figure may currently seem. Analysts expect AWS to grow to about $170 billion of revenue this year, according to FactSet. \n</p>\n<p>\n  Others are also looking to get a big piece of that expanding pie. Microsoft and Google's cloud businesses have grown faster than Amazon's for some time, to the point where they pose a legitimate threat to AWS's dominance of an industry it virtually invented two decades ago. If their growth stays above AWS's, it isn't hard to foresee them surpassing their larger competitor by the end of the decade. \n</p>\n<p>\n  Of course, none of those businesses would fare well if the AI bubble bursts. Should Anthropic, OpenAI and other big buyers of AI computing power falter, massive contracts would likely be reworked and backlogs would shrink. For cloud-computing giants, though, there is something of a reprieve: At least they could fall back on the tried-and-true business model that sustained them before AI. \n</p>\n<p>\n  That is more than can be said for other AI players without cloud businesses, perhaps most prominently <a href=\"https://laohu8.com/S/META\">Meta Platforms</a>. The social-media giant's stock is down about 5% since its earnings on Wednesday included a slight increase in the midpoint of its 2026 capital-spending range. \n</p>\n<p>\n  CEO Mark Zuckerberg said Wednesday that Meta is looking at starting a cloud-computing business of its own, but it would start far behind the three giants of the industry. \n</p>\n<p>\n  In sorting AI winners from losers, Wall Street has settled on a key differentiator. \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n</font>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU1699723380.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"AP\" (USD) ACC","LU0553294199.USD":"BGF GLOBAL EQUITY INCOME \"A5G\" (USD) INC","LU1923622614.USD":"Natixis Thematics Meta R/A USD","LU2413666426.HKD":"BNP PARIBAS GLOBAL ENVIRONMENT \"C\" (HKD) ACC","LU0823411888.USD":"法巴消费创新基金 Cap","SG9999014542.SGD":"United Income Focus Trust Acc SGD","FBL":"2倍做多META ETF-GraniteShares","IE00B19Z3B42.SGD":"Legg Mason ClearBridge - 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Cloud computing increasingly looks like the answer. \n\n\nAmazon.com, Microsoft and Alphabet's Google all have cloud businesses that have grown rapidly during the AI boom. Customers including AI labs and large corporations have clamored to rent access to chips and computing equipment from them -- to such an extent that their ability to supply it is more of a limitation than demand. \n\n\n  And unlike a lot of the other avenues companies have proposed to reap returns from AI investments, from chatbot ad sales to subscriptions for access to AI models, cloud computing's financial model is relatively well understood. \n\n\n  The tech giants buy or lease buildings and computing gear, then rent it out via their cloud operations to recoup what they spent over a period of a few years. It is capital-intensive but can be highly profitable: Amazon's cloud unit, Amazon Web Services, on Thursday reported a 39% operating profit margin in the second quarter. \n\n\n  Amazon Chief Executive Andy Jassy tried to paint a picture of AWS as both predictable and extremely fast-growing. It takes less than three years on average to break even on purchases of computing equipment, he said, while most of its contracts with AI-computing customers are at least five years long. That leaves a lot of juice for Amazon to squeeze. \n\n\n  \"The resulting revenue, free cash flow and return on invested capital is very compelling,\" he said. \n\n\n  In the high-spending phase Amazon is going through now, it also means the company is free-cash-flow negative. Markets have been allergic to cash outflows in recent months amid concern about returns on hypsercalers' big investments. \n\n\n  But investors more recently seem to be coming around to the notion that Big Tech spending on AI can make sense -- as long as there is a cloud-computing business involved that can reap the benefits. \n\n\n  Amazon's stock surged on Friday after the company wowed Wall Street with 37% quarterly revenue growth for AWS, well above the roughly 31% analysts were projecting. Microsoft also got a massive stock-price boost after its results on Wednesday included a better-than-expected 43% revenue rise for its Azure cloud-computing unit. The two companies combined have added around $950 billion to their market values since reporting. \n\n\n  Google parent Alphabet's stock fell last week after it boosted capital spending for the year, but its cloud unit's 82% revenue growth has since tempered those concerns. The stock is up about 10% in the past week, more than recovering from its earlier losses. \n\n\n  AI is perhaps the most important driver of cloud-computing growth; companies and AI developers want more computing power, and it is easiest and often fastest to rent it in the cloud. Chunky deals with big customers are also helping inflate revenue and backlogs, like the more than $100 billion 10-year contract that AWS signed with Anthropic in April. \n\n\n  But there is also a shift predating the AI boom that has quietly persisted. Companies are moving more of their computing work to the cloud and using less of their own equipment. A Piper Sandler survey of IT leaders in June found they expected to boost spending by about 5% this year. Most planned to increase outlays on cloud computing, while relatively few plan to spend more on their own computing equipment. \n\n\n  Given those dual trends, it is a little easier to understand why Jassy suggested on Thursday that AWS could eventually grow into a $1 trillion annual revenue business, as outlandish as that figure may currently seem. Analysts expect AWS to grow to about $170 billion of revenue this year, according to FactSet. \n\n\n  Others are also looking to get a big piece of that expanding pie. Microsoft and Google's cloud businesses have grown faster than Amazon's for some time, to the point where they pose a legitimate threat to AWS's dominance of an industry it virtually invented two decades ago. If their growth stays above AWS's, it isn't hard to foresee them surpassing their larger competitor by the end of the decade. \n\n\n  Of course, none of those businesses would fare well if the AI bubble bursts. Should Anthropic, OpenAI and other big buyers of AI computing power falter, massive contracts would likely be reworked and backlogs would shrink. For cloud-computing giants, though, there is something of a reprieve: At least they could fall back on the tried-and-true business model that sustained them before AI. \n\n\n  That is more than can be said for other AI players without cloud businesses, perhaps most prominently Meta Platforms. The social-media giant's stock is down about 5% since its earnings on Wednesday included a slight increase in the midpoint of its 2026 capital-spending range. \n\n\n  CEO Mark Zuckerberg said Wednesday that Meta is looking at starting a cloud-computing business of its own, but it would start far behind the three giants of the industry. \n\n\n  In sorting AI winners from losers, Wall Street has settled on a key differentiator.","news_type":1,"symbols_score_info":{"GGLS":0.6,"GOOGL":1.83,"GOU":0.6,"RSPC":0.6,"VOX":0.6,"AMZY":0.6,"IXN":0.6,"AZYY":0.6,"USAW.SI":0.6,"FBL":0.6,"AMZU":0.6,"META":1.82,"EFIV":0.6,"AMZZ":0.6,"GOOY":0.6,"NULC":0.6,"MSFW":0.6,"WANT":0.6,"XLK":0.6,"VGT":0.6,"MSFO":0.6,"METV":0.6,"MSFY":0.6,"OGIG":0.6,"AMZD":0.6,"METD":0.6,"GOOX":0.6,"MSFL":0.6,"AMZW":0.6,"AMZP":0.6,"TRUC":0.6,"MSFU":0.6,"GOOP":0.6,"MSFT":1.88,"RTH":0.6,"ROM":0.6,"HULL":0.6,"GGLL":0.6,"GAMR":0.6,"CQTM":0.6,"TDIV":0.6,"ILDR":0.6,"GXPC":0.6,"LTL":0.6,"XLC":0.6,"SNPE":0.6,"XDAT":0.6,"TTXU":0.6,"MSFD":0.6,"ONLN":0.6,"FCOM":0.6,"SKYY":0.6,"METW":0.6,"MSFX":0.6,"IGV":0.6,"AMZN":1.97,"CMAG":0.6,"METU":0.6,"GOOW":0.6,"FBY":0.6,"TYLG":0.6,"SPTE":0.6,"FTEC":0.6,"SOCL":0.6,"CLIX":0.6,"CNEQ":0.6,"FBYY":0.6}},"isVote":1,"tweetType":1,"viewCount":83,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":529189959504552,"gmtCreate":1770218933352,"gmtModify":1770218936735,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/MSFT\">$Microsoft(MSFT)$&nbsp;</a> Those who short the stock are scrambling to cover their positions","listText":"<a href=\"https://ttm.financial/S/MSFT\">$Microsoft(MSFT)$&nbsp;</a> Those who short the stock are scrambling to cover their positions","text":"$Microsoft(MSFT)$ Those who short the stock are scrambling to cover their positions","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":8,"commentSize":1,"repostSize":2,"link":"https://ttm.financial/post/529189959504552","isVote":1,"tweetType":1,"viewCount":2453,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":435427411497616,"gmtCreate":1747323246847,"gmtModify":1747323249665,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> Missed estimates by only 0.3% and selldown by 8%. Atrocious!!!","listText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> Missed estimates by only 0.3% and selldown by 8%. Atrocious!!!","text":"$Alibaba(BABA)$ Missed estimates by only 0.3% and selldown by 8%. Atrocious!!!","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":2,"repostSize":2,"link":"https://ttm.financial/post/435427411497616","isVote":1,"tweetType":1,"viewCount":1922,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3553687081272972","authorId":"3553687081272972","name":"屁屁鬼","avatar":"https://community-static.tradeup.com/news/35ba5facdf6bce8a1244e9cc2b4cee58","crmLevel":12,"crmLevelSwitch":0,"authorIdStr":"3553687081272972","idStr":"3553687081272972"},"content":"Sometimes beat estimate also sell down. If you are on the fundamental, no need to be worry. Buy more","text":"Sometimes beat estimate also sell down. If you are on the fundamental, no need to be worry. Buy more","html":"Sometimes beat estimate also sell down. If you are on the fundamental, no need to be worry. Buy more"}],"imageCount":0,"langContent":"EN","totalScore":0},{"id":570850439562848,"gmtCreate":1780399526703,"gmtModify":1780401092345,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> zuckerberg better buck up..else they may drop out from Mag 7 soon..","listText":"<a href=\"https://ttm.financial/S/META\">$Meta Platforms, Inc.(META)$&nbsp;</a> zuckerberg better buck up..else they may drop out from Mag 7 soon..","text":"$Meta Platforms, Inc.(META)$ zuckerberg better buck up..else they may drop out from Mag 7 soon..","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/570850439562848","isVote":1,"tweetType":1,"viewCount":954,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":435340625023504,"gmtCreate":1747302254284,"gmtModify":1747302257492,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> Earnings miss estimates?","listText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> Earnings miss estimates?","text":"$Alibaba(BABA)$ Earnings miss estimates?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":3,"repostSize":0,"link":"https://ttm.financial/post/435340625023504","isVote":1,"tweetType":1,"viewCount":2365,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":434690774368856,"gmtCreate":1747145050789,"gmtModify":1747145053849,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a><v-v data-views=\"1\"></v-v> Baba price movement appear sluggish..hope it is not due to upcoming&nbsp;poor earnings results","listText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a><v-v data-views=\"1\"></v-v> Baba price movement appear sluggish..hope it is not due to upcoming&nbsp;poor earnings results","text":"$Alibaba(BABA)$ Baba price movement appear sluggish..hope it is not due to upcoming poor earnings results","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":7,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/434690774368856","isVote":1,"tweetType":1,"viewCount":2011,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":440318303289536,"gmtCreate":1748526844398,"gmtModify":1748526847590,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> Now it is trading below Hk mkt..short selling to weed out weak buyers?","listText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> Now it is trading below Hk mkt..short selling to weed out weak buyers?","text":"$Alibaba(BABA)$ Now it is trading below Hk mkt..short selling to weed out weak buyers?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":6,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/440318303289536","isVote":1,"tweetType":1,"viewCount":1734,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":431332331913216,"gmtCreate":1746328779915,"gmtModify":1746328782772,"author":{"id":"4135831911794872","authorId":"4135831911794872","name":"AT69","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":13,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"4135831911794872","idStr":"4135831911794872"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> baba delisting again ?","listText":"<a href=\"https://ttm.financial/S/BABA\">$Alibaba(BABA)$&nbsp;</a> baba delisting again ?","text":"$Alibaba(BABA)$ baba delisting again ?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":2,"repostSize":0,"link":"https://ttm.financial/post/431332331913216","isVote":1,"tweetType":1,"viewCount":2417,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3567497553453071","authorId":"3567497553453071","name":"NFTGR","avatar":"https://static.tigerbbs.com/ab47367525b6e6b9c6093ea906b80889","crmLevel":12,"crmLevelSwitch":1,"authorIdStr":"3567497553453071","idStr":"3567497553453071"},"content":"those delisted like Didiy still survives. some got dual listing also..","text":"those delisted like Didiy still survives. some got dual listing also..","html":"those delisted like Didiy still survives. some got dual listing also.."},{"author":{"id":"3567497553453071","authorId":"3567497553453071","name":"NFTGR","avatar":"https://static.tigerbbs.com/ab47367525b6e6b9c6093ea906b80889","crmLevel":12,"crmLevelSwitch":1,"authorIdStr":"3567497553453071","idStr":"3567497553453071"},"content":"luckin coffee survives after delisted also.","text":"luckin coffee survives after delisted also.","html":"luckin coffee survives after delisted also."}],"imageCount":0,"langContent":"EN","totalScore":0}],"lives":[]}