Paul Tudor Jones Warns of a 'Breathtaking' Market Crash — But Keeps Buying AI Stocks
Billionaire investor Paul Tudor Jones predicts a 'breathtaking' AI market correction within one to two years but continues buying AI stocks, citing a potential 40% upside before the crash. He compares the current AI bull market to the 1999 dot-com bubble, warning of severe downside risks while acknowledging the transformative power of AI technology.
Paul Tudor Jones, founder of Tudor Investment Corp, has warned investors of an impending 'breathtaking' correction in the AI-driven market within one to two years, drawing parallels to the 1999 dot-com bubble. Despite this caution, Jones remains actively bullish on AI stocks, arguing that the remaining upside—estimated at 40% from current levels—justifies continued investment. He shifted from a cautious stance in February 2026 to an explicitly bullish position by May 2026, betting that the final surge of a bubble can be the most profitable. Jones’s comparison to 1999 underscores the risk of overvaluation, as the Nasdaq Composite lost 78% of its value between March 2000 and October 2002. He acknowledges that while AI’s potential is transformative, current valuations may not yet reflect realistic profit timelines. The investor expects the correction to be rapid and severe, potentially erasing gains and overshooting to the downside, similar to the dot-com crash. Jones has not disclosed specific AI holdings but suggests exposure to large-cap tech firms with direct AI revenue streams. His strategy hinges on the paradox that the conditions fueling the rally—elevated valuations, concentrated positions, and momentum-driven buying—also heighten the risk of a dramatic unwinding. Other billionaires are taking contrasting stances. Leo KoGuan, a Tesla shareholder and Nvidia Corp. investor, dismissed bubble concerns, purchasing 1 million Nvidia shares with plans for another 1 million, framing it as a long-term conviction bet. Meanwhile, Michael Burry, known for his 2008 financial crisis short position, has publicly warned against AI stock valuations, signaling divergent views on the market’s trajectory. Jones’s approach reflects a high-risk, high-reward strategy, balancing optimism about AI’s long-term potential with skepticism about near-term valuations. His continued accumulation of AI stocks signals confidence in the sector’s resilience despite looming correction risks.
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