Today: 11 June 2026
Nvidia stock price slides again as AI payoff worries spread; what investors watch next

Nvidia stock price slides again as AI payoff worries spread; what investors watch next

New York, Feb 5, 2026, 09:34 (EST) — Regular session

  • Another round of selling hit AI-related tech, pulling chip stocks down as investors grow wary about when high spending will actually lead to profits.
  • Up next: another batch of Big Tech earnings and key U.S. data that could shake up yields and growth-stock prices.

Nvidia shares slipped roughly 3.3% to $174.19 in early Thursday trading, deepening the pullback seen in AI-related stocks this week.

This shift is significant since Nvidia’s stock now acts as a rapid barometer for AI expansion. Growth-focused sectors also took hits: the Nasdaq-tracking QQQ fell roughly 1.8%, while the semiconductor ETF SMH dropped close to 4%. By comparison, the S&P 500’s SPY saw a more modest decline.

Some of the selling stems from a sharp drop in software and data stocks, triggered by worries investors have about new “agent” tools potentially automating white-collar jobs. Reuters noted that Anthropic introduced plug-ins for its Claude Cowork agent late last week, fueling ongoing debate about which firms AI benefits—and which it disrupts. Reuters

The chip sector took a hit amid the debate. Nvidia dropped 3.4% Wednesday, with traders uneasy about its high valuations. AMD plunged 17% after a quarterly revenue forecast that rattled investors, according to Reuters. “The market is suddenly skeptical and concerned,” said Argent Capital portfolio manager Jed Ellerbroek to Reuters. Reuters

Thursday’s spotlight remained on spending. Alphabet announced plans to double its capital expenditures this year, keeping investors focused on how quickly Big Tech can turn AI investments into profits. “The result is a move away from blind optimism,” said Russell Shor, senior market analyst at Tradu, in a Reuters report. Amazon’s earnings, due after the close, will be closely watched for any clues on AI spending, alongside job-openings data set for release later in the day. Reuters

Nvidia’s top brass have pushed back against the notion that advances in AI spell trouble for traditional software. CEO Jensen Huang labeled concerns about AI replacing software as “illogical,” Reuters reported earlier this week. Still, investors kept pulling back from high-priced tech stocks. Reuters

Some on Wall Street say the selloff doesn’t quite add up. Bank of America analyst Vivek Arya pointed out in a note that the market’s outlook feels “internally inconsistent.” He argued it’s tough to reconcile weak AI returns with widespread AI adoption that should be devastating for legacy software. MarketWatch

Chip stocks slipped Thursday, deepening the risk-off mood: AMD plunged roughly 17%, Broadcom dipped close to 4%, and Micron slid about 9.5% in early trading.

This trade can flip fast. Nvidia usually gets a boost when Big Tech doubles down on AI infrastructure and earnings confirm steady demand and pricing. But if spending starts to plateau, the stock’s multiple can shrink sharply.

Nvidia investors have their sights set on the upcoming earnings report. The company plans to reveal its fourth-quarter and full-year fiscal 2026 results on Feb. 25. Results are expected to drop before the call, with CFO remarks available ahead of the webcast.

Stock Market Today

  • Kymera Therapeutics Stock Rebounds Amid Valuation Debate at $78.23
    June 10, 2026, 10:45 PM EDT. Kymera Therapeutics (KYMR) shares rose 6.9% last week after a 7% decline over the past month, trading at $78.23 with a 33.9% undervaluation consensus. Analyst fair value estimates average $118.27, implying substantial upside based on planned annual IND (Investigational New Drug) filings and a cash runway into mid-2027 supporting R&D. The biotech's long-term shareholders have seen a 1-year total return of 61.7% and 3-year return above 200%. Risks remain from potential R&D setbacks and partner dependency, notably on Sanofi, tempering the growth outlook. Investors are advised to closely evaluate positive catalysts alongside the execution challenges in this AI-driven drug development sector.

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