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

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 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

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%

On Wednesday $S&P 500(.SPX)$ closed 0.48 per cent lower, its third session in a row heading down. $Meta Platforms, Inc.(META)$ rose 6.55 per cent the same day to close at US$653.69. The whole market was backing away while one of the largest companies in it put on six and a half points, and those look like two unrelated things. They are one thing. What is holding the indexes down is rates: Brent crude moved back above US$100 for the first time in two months, the inflation print lands on Friday, the ten-year Treasury yield was pushed to 4.85 per cent and the thirty-year broke above 5.30 per cent. The Treasury stepped in that day and raised the cap on its buybacks of ten-

$Invesco QQQ(QQQ)$  📈 Beginner Guide to QQQ ETFs: QQQ, QQQM and QYLD If you are new to investing, you may have come across ETFs such as QQQ, QQQM and QYLD. They can look confusing at first because all three are connected to the Nasdaq-100, but they have very different purposes. The easiest way to understand them is this: QQQ = growth and popularity QQQM = similar Nasdaq-100 exposure, designed more for long-term investors QYLD = Nasdaq-100 exposure combined with an income strategy The screenshot shows three ETFs: Invesco QQQ, Invesco Nasdaq 100 ETF (QQQM), and Global X Nasdaq 100 Covered Call ETF (QYLD). The prices shown in the screenshot are simply the prices at that particular point in time, so investors should not treat them as permanent pri

The impasse of range-bound trading at elevated levels in the U.S. equity market remains unresolved. On the one hand, September seasonality, defensive positioning by institutional investors, and the potential seasonal tendency for the VIX to rise all suggest that a strong short-term rally is unlikely. On the other hand, robust corporate earnings and the fact that equity-index P/E multiples have not expanded materially are limiting the downside for U.S. equities. My conclusion for the U.S. market over the coming week is therefore as follows: taking all factors into account, U.S. equities are more likely to remain range-bound at elevated levels than to enter a one-way decline. At the same time, we should pay attention to a new opportunity at relatively depressed levels: commodity indices are

Something changed in the AI trade. And I don’t think the most interesting part is the selloff. It’s what the market assumed the selloff meant. Anthropic CEO Dario Amodei has called for slowing the pace of frontiear AI capability development as safety concerns intensify. Sam Altman agreed that the frontier needs to be paced. Elon Musk backed the warning. Wall Street heard one thing: SLOWER AI = LESS AI INFRASTRUCTURE. And investors hit the hardware stack. The Philadelphia Semiconductor Index fell roughly 6%. $NVDA fell about 3.5%. $AMD fell about 5.6%. $MU fell about 6.7%. Semiconductor equipment names were smashed too, with Lam Research and Applied Materials falling roughly 8% and 7% respectively. AI infrastructure names weren’t spared either. But here’s the question I can’t get past: WHAT

U.S. markets showed a striking divergence overnight. As investors worried that calls to slow frontier AI development could eventually cool spending on GPUs, HBM and data centers, semiconductor names came under pressure. At the same time, cybersecurity stocks surged. CrowdStrike, Palo Alto Networks, Zscaler and Fortinet all moved sharply higher. The same “AI risk” narrative was hitting chips while pushing security software into the spotlight. The more important takeaway is not simply that money rotated from hardware into software. The bigger question is whether cybersecurity is becoming a mandatory layer of AI CapEx. Once AI agents start connecting to email, code repositories, databases, CRM systems and payment tools, AI is no longer just reading information. It can call tools, modify files

As hyperscale technology conglomerates — such as Microsoft, $Alphabet(GOOGL)$ Alphabet, $Amazon.com(AMZN)$ Amazon, and Meta—signal potential moderation or pacing adjustments in their capital expenditure (capex) growth rates, public markets have begun pricing in an inevitable AI infrastructure "reality check." In this article, we will be looking at how to navigate the AI Capex deceleration, as deceleration in hyperscale AI capex does not mark the end of the semiconductor super-cycle; 1. The Capex Reality Check: Why Hyperscalers Are Recalibrating AI Infrastructure Spend The primary catalyst behind market anxiety regarding semiconductor stocks is the widening gap between hyperscaler infrastructure capex and

The indices barely moved on Monday. $S&P 500(.SPX)$ closed 0.48 per cent lower, $Dow Jones(.DJI)$ 0.29 per cent lower and $NASDAQ(.IXIC)$ Composite 0.56 per cent lower. A layer below, the difference was large: $Philadelphia Semiconductor Index(SOX)$ closed 5.53 per cent lower, its biggest one-day fall since 1 July, while CrowdStrike closed 13.85 per cent higher at a record. Two sectors were priced in opposite directions on the same day. On Saturday 12 September, Dario Amodei, the chief executive of Anthropic, published "We Must Pace the Frontier", arguin

On Friday the August CPI report landed, traders took the odds of a 25 basis point hike this week from 75 per cent to close to nine in ten, and $S&P 500(.SPX)$ closed 0.86 per cent higher all the same, ending a four-session slide; $Dow Jones(.DJI)$ closed 0.98 per cent higher, a gain of more than 500 points. The bet on higher rates got bigger. The buyers came back. August CPI rose 3.4 per cent year on year, level with July and in line with expectations; month on month it rose 0.4 per cent against 0.1 per cent in July. The gasoline index rose 3.9 per cent on the month and accounted for a third of the entire rise in goods prices. Core CPI eased to 2.4 per cent year on year

$Advanced Micro Devices(AMD)$ 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

🚨 AI’s next major trade may NOT be chips — it may be cybersecurity. The most interesting part of this rotation isn’t that CRWD jumped 13.9% or PANW 13% in one session. It’s WHY money is moving there. AI is becoming more capable → attack surfaces expand → identity, cloud, endpoint, data and AI-agent security become mission-critical. The same AI labs warning about the risks are effectively highlighting why enterprises cannot simply “spend less” on security. (Axios) 💡 That creates an important asymmetry: If AI spending slows, GPU demand can get hit immediately. But if AI deployment continues, security spending arguably becomes a prerequisite rather than an optional upgrade. And this is bigger than fear-trading. Gartner estimates AI cybersecurity spending could reach $51.3B in 2026 and $86B by

On September 8, 2026, the global semiconductor index staged an aggressive rally, driven by robust macroeconomic labor prints and easing front-end yields. However, major semiconductor constituents exhibited stark structural divergence. While broad networking, foundry, and memory stocks surged, $NVIDIA(NVDA)$ Nvidia Corporation (NVDA) dropped 2.01% to close at $225.73 after touching intraday highs of $233.71. Conversely, $Broadcom(AVGO)$ Broadcom Inc. (AVGO) rose 2.98% to $368.56, while $Micron Technology(MU)$ Micron Technology, Inc. (MU) experienced wild intraday swings—surging over 2% above $1,041 before settling at $1,000.26 (-1.61%). Pre-market action on Septembe