Nvidia Says 2x Chips — Is That Enough to Keep AI Stocks Running? One number was enough to reignite AI hardware stocks: Jensen Huang expects Nvidia to sell twice as many chips next year as this year. Nvidia gained 2.54% Thursday, while AMD, Marvell and Broadcom jumped even more as semiconductor stocks staged another broad rebound. But there is an important detail behind the headline. 2x demand ≠ 2x revenue Huang’s comment wasn’t formal revenue guidance. Nvidia had already told investors in August that customer forecasts point to demand doubling next year. Yet management expects roughly 70% revenue growth for fiscal 2028, explicitly describing that outlook as supply-constrained. In other words: The problem isn’t finding enough demand. It’s producing enough compute. That may actually be the m

Jensen Huang Drops a Number — Why Did AI Hardware Stage a Full Comeback? Just when critics claimed that the artificial intelligence hardware buildout was cooling down, NVIDIA Corporation (NASDAQ: NVDA) CEO Jensen Huang injected fresh fuel into the bullish narrative by confirming stellar manufacturing and shipping velocity for their next-generation Blackwell architecture.Unprecedented Enterprise Backlogs: The scale of demand for high-density computing clusters is far outstripping current packaging capabilities. Every major hyperscaler is aggressively placing multi-billion dollar orders to prevent falling behind in model training infrastructure.Downstream Beneficiaries: This hardware validation is triggering massive tailwinds across the supply chain, directly lifting liquid cooling providers

Do you believe that $NVIDIA(NVDA)$’s sinking stock valuation is sending a warning signal about the chipmaker’s prospects to maintaining its booming profit growth ? Do you think this is true ? Let’s find out. Valuation Paradox: Cheap Price vs High Growth NVDA’s stock is currently priced cheaply relative to its earnings, dropping to less than 17x its expected profit for the coming year. To put the drop into perspective, the stock's price multiple was twice as high in 2025, even though company's financial growth was slower back then. (see below) Additionally, that valuation has fallen significantly from more than 25x estimated earnings as recently as May 2026. Management’s View: Misunderstood & Mispriced The gap between (1) NVDA's strong business

Jensen Huang drops a number. Why AI hardware came all the way back, and how I'm playing it with sell puts Written Wednesday morning SGT, using Tuesday's US close. The number On September 17, Nvidia CEO Jensen Huang said the company will double the number of chips it sells next year. His exact words were: "I expect Nvidia to sell twice as many chips as this next year as we do this year." He said it at the AI summit King Charles III hosted at Dumfries House in Scotland. The comment covers all of Nvidia's chips, not just GPUs. That includes the flagship Blackwell and upcoming Vera Rubin GPUs, Grace CPUs, optical networking chips, automotive platforms and Jetson robotics processors. It also builds on guidance Nvidia already gave. On the August 26 earnings call, CFO Colette Kress laid out a 70%

Disclaimer: Nothing I say or post should be considered financial advice. Please do your own due diligence before making any investment decisions.‌ No matter you like it or not, every single company in this world is jumping on the AI bandwagon, whether it makes sense or not. However, is the valuation overstretching again after a retracement in August and September? Heading to 4th quarter of the year, I am taking a defensive stance, not overexposing myself to any particular sector.[Tongue] @PawsAndProfits - Specialist in combining FA and TA for Options selling and Swing trading.[666]

$Advanced Micro Devices(AMD)$ Breakout Setup & AI Data Center Momentum

$Advanced Micro Devices(AMD)$ crossed a $1 trillion market value for the first time on September 21, but the milestone is less important than the expectations embedded within it. AMD rose almost 10% to a record after investors returned to AI hardware and rewarded its shift from selling individual processors toward complete computing systems. Reuters' September 21 report records the milestone and notes that the shares had risen 185% in 2026, far ahead of the Nasdaq. The bullish thesis rests on operating evidence, not only enthusiasm. AMD's second-quarter revenue increased 50% year over year to $11.5 billion, while Data Center revenue more than doubled to $6.7 billion as EPYC CPUs and Instinct accelerators gained adoption. AMD's official second-quart

For weeks, the market has been asking the same question: Has the AI trade finally peaked? Then Jensen Huang dropped a very different signal. Nvidia expects to ship roughly twice as many chips next year as this year. And the market reacted. $AMD +6.36% $MRVL +4.81% $NVDA +2.54% $AVGO +2.29% Philadelphia Semiconductor Index +3%+ What makes this interesting isn’t simply that Nvidia was up. It’s that the move came after a week when the biggest conversation was about an AI slowdown. Suddenly, the debate has shifted from: “Is AI spending slowing?” to: “What if demand is still accelerating?” But there’s an important reality check. A forecast is not the same as orders. And 2× chip shipments doesn’t mean 2× revenue or 2× profit. So I’m watching what happens after the headline fades. Do semiconducto

One sentence from Jensen Huang was enough to wake up the entire semiconductor trade: Nvidia expects to sell roughly twice as many chips next year as this year. And suddenly the whole AI hardware chain started moving. 🚀 $AMD +6.36% 🚀 $MRVL +4.81% 🚀 $NVDA +2.54% 🚀 $AVGO +2.29% 📈 Philadelphia Semiconductor Index +3%+ But here’s what caught my attention: Nvidia wasn’t the biggest winner. If this were simply a “buy Nvidia” reaction, you wouldn’t necessarily expect competitors, networking names and custom-chip exposure to move so strongly at the same time. That makes the move more interesting. The market may be starting to price AI infrastructure as a much bigger ecosystem, rather than a single-stock story. And there is some fundamental support behind that argument. Nvidia recently said demand i

$NVIDIA(NVDA)$ : What If The Next Big Move Starts Monday?

$Invesco QQQ(QQQ)$ The Level I Want To See Hold Before Getting Bullish

The underlying numbers make the comment more credible than a purely sentiment-driven rally. $NVIDIA(NVDA)$   latest quarter produced $96.2bn revenue, +106% YoY, with Data Center at $89.0bn, +117%. $Advanced Micro Devices(AMD)$    Data Center revenue reached $6.7bn, +107% YoY, while $Broadcom(AVGO)$   AI semiconductor revenue hit $16.7bn, +221% YoY, and Broadcom expects $21.7bn in the current quarter. The interesting development this week is that money is already moving beyond the obvious GPU names. On Friday, $Lam Research(LRCX)$ ,$Applied

AI  is like Mopseyfrom the fairy tales . Started slow and small and as the programmers got their heads around the clitches in the early years it took off . It isn't far off the stage of not needing human intervention at all . Machine learning has become such a big part of industry today that many of the traditional semi-skilled labouring jobs are going to disappear. The upward trend won't stop , it will slow maybe but the growth of the technology will always be upward  beyond human control . That includes the people that think they are controlling the situation at the where our quest for wealthand power moment.  Machines will teach other machines and humanity will be sidelined . It's happening already in certain industries . Those of us who profit from the situation now

A 500% jump in memory prices can be good news for memory makers in the short term, but it is usually bad news for buyers, margins downstream, and often a sign that the cycle is getting stretched. Recent market data shows DRAM and NAND prices are still elevated, driven largely by AI infrastructure demand, but the pace of gains has started to slow from the sharpest months. What the price surge means - For memory producers such as DRAM and NAND suppliers, higher prices usually mean better revenue and stronger near-term profitability if supply is tight. - For electronics OEMs, server builders, and PC/device makers**, it raises input costs and can compress margins unless they can pass costs on to customers. - For consumers it can mean higher prices for PCs, upgrades, phones, and storage product

The AI slowdown debate just got a little harder to ignore. Jensen Huang says Nvidia expects to sell 2× as many chips next year as this year. That’s a huge statement — but it’s still a forecast, not a book of signed orders.  And the market clearly noticed: 🚀 AMD +6.36% 🔥 Marvell +4.81% 🟢 Nvidia +2.54% ⚡ Broadcom +2.29% The bigger signal for me is what happens beyond Nvidia. More AI compute means more demand for networking, custom silicon, memory and data-centre infrastructure. Thursday’s semiconductor rally also coincided with expanded Marvell–GlobalFoundries capacity for AI data-centre connectivity.  But there’s still one giant question: Does 2× chip demand eventually translate into 2× the economic returns for the AI ecosystem?

The AI slowdown debate just got a lot more interesting. Jensen Huang said Nvidia expects to sell twice as many chips next year as this year, pointing to continued AI adoption across industries.  The market reacted immediately: 📈 $AMD +6.36% 📈 $MRVL +4.81% 📈 $NVDA +2.54% 📈 $AVGO +2.29% The Philadelphia Semiconductor Index gained about 3.1%, extending its rebound to a third straight session.  But here’s the part I’m watching: 2× chip volume doesn’t automatically mean 2× revenue. Nvidia’s own fiscal 2028 outlook calls for roughly 70% revenue growth, and the company says that outlook is currently supply-constrained.  So the bigger question isn’t simply whether AI demand is still strong. It’s whether the entire infrastructure chain can keep scaling fast enough: 🧠 GPUs → $NVDA / $AMD 🔌 Networ

One line can restart sentiment, but probably not sustain the rally by itself. Huang expecting Nvidia to ship 2x as many chips next year is a powerful signal that AI infrastructure demand remains strong, especially after all the slowdown talk. But expectations are already extremely high. I’d want to see hyperscaler capex, actual orders and Nvidia’s next guidance confirm that demand. Three green sessions show confidence returning, but execution has to follow the narrative. For now, I’m watching NVDA, AMD and AVGO rather than chasing the rebound.

$SOXL 20260918 95.0 PUT$ 

Talk of an "AI slowdown"—pacing frontier model development for safety—has not halted long-term chip stock momentum due to four key realities: * Inference vs. Training: Slower training doesn't cut usage. Running everyday user queries and agentic workflows (inference) requires massive, continuous compute power. * Locked CapEx: Hyperscalers are executing hundreds of billions in multi-year data center builds. Hardware order books are committed long before software launches. * Safety Needs Hardware: Running guardrails, red-teaming, and evaluations actually increases required processing cycles. * Global Competition: Voluntary pacing by select U.S. labs doesn't stop global or open-source rivals, preserving the hardware buildout. Markets separate software pacing from hardware infrastructure—chips