Michael Burry Warns AI Bubble May Burst Sooner Than Expected
The 'Big Short' investor is repositioning his tech bets toward near-term put options, signaling he expects an earlier reckoning for AI-driven valuations.
Michael Burry, the investor who famously predicted the 2008 housing collapse and inspired the film *The Big Short*, is once again sounding a contrarian alarm — this time aimed squarely at artificial intelligence. Burry now believes the AI-fueled market bubble could deflate sooner than he originally anticipated, a shift in conviction that is directly reshaping how he's positioning his portfolio.
The clearest signal of that revised timeline comes from his options strategy. Burry is reportedly pivoting his major technology short positions toward put contracts expiring in June, compressing the window in which he expects a meaningful market correction to materialize. For options traders, expiry dates are not incidental details — they represent a bet not just on direction but on timing, and moving to shorter-dated puts is a concrete expression of urgency.
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Burry has long been skeptical of speculative excess in tech markets, but the acceleration of his thesis carries broader implications. The AI sector has attracted enormous capital flows over the past two years, with valuations for both public and private companies swelling on promises of transformative productivity gains. Critics, including Burry, have questioned whether those expectations are anchored in near-term revenue reality or in a more distant and uncertain future.
What makes Burry's repositioning notable is the mechanism he's chosen. Short-dated puts are high-conviction, high-risk instruments — they expire worthless if the anticipated move doesn't materialize in time. That Burry is willing to absorb that expiry risk suggests his confidence in the timing, not just the direction, of a potential downturn has meaningfully increased. Whether the broader market shares that urgency remains an open question, but history shows that dismissing Burry's structural warnings has often proved costly.
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