AI Bubble Concerns Trigger Market Turmoil.At the core of the unrest lies a stark disconnect between valuations and fundamentals. Since the AI boom began in 2023, NVIDIA's stock has surged more than 11-fold, yet most AI firms struggle with dismal profitability—OpenAI reported a net loss of $13.5 billion in the first half of 2025, and 95% of generative AI projects fail to deliver direct returns Institutional risk aversion has intensified: Peter Thiel’s Founders Fund liquidated its entire NVIDIA position, Bridgewater Associates slashed its AI holdings by 65%, and The Big Short investor Michael Burry launched large short positions against AI leaders, triggering panic selling Adding to the pressure, the Fed’s hawkish signals have crushed rate-cut expectations—odds of a December rate cut plummeted from 95% to 48.9%—pushing up funding costs and further weighing on high-valuation tech stocks. On November 20, the Nasdaq plunged 2.16% in a single session, with NVIDIA and other sector leaders suffering significant declines
Market sentiment remains deeply divided on the future trajectory. Wall Street giants including JPMorgan Chase and Goldman Sachs argue that AI demand continues to grow exponentially, with chip supply constraints unlikely to ease in the short term—suggesting the industry’s boom cycle remains intact, though valuations need to return to rational levels. Fund flows reflect a shift from blind chasing of high-flying stocks to structural differentiation: Warren Buffett’s Berkshire Hathaway initiated a position in Alphabet for the first time, while some institutions are rotating into AI application-focused companies. The Fed’s policy path remains a key wildcard—delayed rate cuts could prolong pressure on highly leveraged AI firms. A Bank of America survey shows over 50% of fund managers believe AI stocks are in a bubble, yet 43% of investors remain optimistic about AI’s long-term productivity growth potential
Conclusion: From Frenzy to Rationality.This market volatility represents an inevitable transition from speculative frenzy to rationality in AI investing, driven primarily by valuation deleveraging and institutional portfolio rebalancing. In the short term, global markets will likely face continued volatility, with high-valuation AI hardware firms at risk of further pullbacks. However, over the long term, AI’s industrial value remains intact—market differentiation will separate companies with genuine technological barriers and profit potential from speculative players