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The volatility in AI-related stocks has also impacted
(NVDA), the dominant player in AI chip manufacturing. Softbank’s decision to liquidate its $5.8 billion stake in Nvidia in October triggered a 3% single-day drop in its shares, eroding $150 billion from its market valuation . This selloff accelerated a broader correction for Nvidia investors: since hitting a record high of $207 per share on October 29, the company has lost $300 billion in market value. Its CEO, Jensen Huang, personally saw his wealth decline by $11.2 billion in 13 days, with $4.3 billion lost on October 11 alone . The sell-off coincided with Nvidia’s recent milestone of becoming the first company to reach $5 trillion in market capitalization, a status achieved amid a 1,300% share price surge over five years .The market’s mixed performance was further illustrated by the Dow Jones Industrial Average, which climbed 559 points to a record high on the same day Nvidia shares fell . While the broader index rose, tech stocks—particularly growth-oriented ones—continued a downward trend. CoreWeave’s shares plummeted 16.3% following its earnings report, despite revenue doubling year-over-year. The company attributed the poor performance to a “supply-side issue” at one data center, which management expects to resolve by early 2026 . Stifel analyst Ruben Roy noted that this “masks significant underlying momentum,” though the stock’s price-to-sales ratio of 15 remains a concern for investors .
Underlying these developments are broader macroeconomic risks. CoreWeave’s reliance on spillover demand from hyperscalers exposes it to sudden shifts in AI adoption, while its debt-heavy balance sheet—exacerbated by aggressive capital spending—limits flexibility. Insiders have sold 68 shares over the past six months without any purchases, signaling internal skepticism . Meanwhile, Nvidia’s valuation correction reflects investor caution amid slowing AI infrastructure demand and regulatory uncertainties, including its recent discussions with U.S. President Donald Trump about a potential ban on AI chip exports to China .
The interplay of these factors underscores the fragility of the AI sector’s financial foundations. While companies like
and Nvidia have driven innovation, their ability to maintain profitability amid rising debt and volatile market conditions remains unproven. For now, the sector’s trajectory appears increasingly tied to macroeconomic cycles and the strategic decisions of hyperscale rivals, whose control over demand could reshape the landscape in 2026 and beyond.Tianhao Xu is currently a financial content editor, focusing on fintech and market analysis. Previously, he worked as a full-time forex trader for several years, specializing in global currency trading and risk management. He holds a master’s degree in Financial Analysis.

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