How to short the entire AI industry

Tim Witzdam/Pexels

Michael Burry, the investor renowned for his prescient bet against the housing market before the 2008 financial crisis, has recently turned his attention to the artificial intelligence (AI) sector. His attempt to short the AI bubble, followed by the abrupt closure of his fund, Scion Asset Management, on November 13, 2025, has fueled speculation about the stability of the AI industry. This move comes after his earlier positions triggered a significant sell-off in AI tech shares, raising questions about whether the AI market is overhyped and ripe for a correction.

Signs of an Overhyped AI Market

The AI industry has experienced rapid valuation surges, with stocks and funds related to AI technologies seeing unprecedented growth. This unchecked enthusiasm has led to market caps that many analysts argue are unsustainable. The dynamics of this potential bubble were analyzed in discussions on bubble dynamics from October 8, 2025, which highlighted how the fervor surrounding AI has inflated valuations beyond what fundamentals can support. For instance, investments in AI startups have skyrocketed, despite many of these companies struggling to achieve profitability. This disconnect between market hype and financial reality is reminiscent of past market bubbles, where enthusiasm outpaced actual performance.

Specific metrics further illustrate this overvaluation. The influx of capital into AI startups, despite their limited profitability, underscores a speculative frenzy. Recent tech sector reports have pointed out that many AI companies are valued at multiples that far exceed their earnings potential. This trend is concerning, as it mirrors the conditions that preceded the dot-com crash, where inflated valuations were not supported by underlying business fundamentals. Experts predict that a market correction is imminent, especially if AI advancements fail to deliver the expected returns. Academic insights into historical parallels suggest that the current hype could lead to a significant downturn if expectations are not met.

Michael Burry’s Bet Against AI

Michael Burry’s strategy to short AI holdings through his Scion Asset Management fund was initially seen as a bold move. His public disclosure of these positions rattled investors, leading to a notable sell-off in AI tech shares. This reaction was reported on November 5, 2025, when Burry’s actions sent shockwaves through the market, causing a ripple effect on major indices. The sell-off highlighted the fragility of investor confidence in the AI sector, as many began to question the sustainability of current valuations.

The sudden decision to close up shop and deregister his fund on November 13, 2025, further signaled Burry’s doubts about the AI sector’s longevity. Reports on this move suggest that Burry may have recognized the inherent risks in betting against a sector that, while potentially overvalued, is also at the forefront of technological innovation. The closure of his fund has left many wondering whether Burry’s retreat is a sign of an impending market correction or a strategic pivot to avoid potential losses.

Strategies for Shorting the AI Sector

For investors looking to follow in Burry’s footsteps and bet against the AI sector, several strategies are available. Inverse exchange-traded funds (ETFs) and options trading offer accessible methods for retail investors to short AI giants like Nvidia and broader indices. These financial instruments allow investors to profit from declines in stock prices, making them attractive options for those who believe the AI market is overvalued. The rationale for using these tools is tied to overvaluation signals, such as inflated price-to-earnings ratios and unsustainable growth projections.

More advanced tactics include credit default swaps or direct short-selling of AI-focused companies. These strategies require a deeper understanding of financial markets and are typically employed by institutional investors. Timing is crucial when employing these tactics, as earnings reports and regulatory scrutiny can significantly impact stock prices. Investors must carefully analyze market conditions and company performance to determine the optimal time to enter short positions.

Portfolio allocation for short positions should be approached with caution. Diversification is key to mitigating risks, as betting against a single company or sector can lead to significant losses if the market moves against the position. Investors should consider targeting the interconnected AI supply chain, which includes hardware manufacturers, software developers, and data providers. By spreading risk across multiple segments of the AI industry, investors can better manage potential downturns while capitalizing on overvaluation signals.

Risks and Lessons from the AI Bubble

Shorting the AI sector is not without risks. Sudden rebounds driven by technological breakthroughs or policy support can lead to significant losses for those betting against the market. Michael Burry’s own pivot away from the trade underscores the potential volatility and unpredictability of the AI sector. Investors must be prepared for the possibility of rapid market shifts that could undermine short positions.

Historical bubbles, such as the dot-com crash, offer valuable lessons for those considering shorting the AI market. The energy demands and data limitations of AI technologies could accelerate a downturn, as forecasted in analyses from October 8, 2025. These factors, combined with inflated valuations, create a precarious situation that could lead to a market correction. However, investors must remain vigilant and conduct rigorous due diligence to avoid being caught off guard by unexpected developments.

Long-term implications for investors include opportunities in non-AI sectors post-burst. As the AI bubble potentially deflates, capital may flow into other areas of the economy, creating new investment opportunities. Investors should be prepared to pivot their strategies and explore sectors that may benefit from a shift in market dynamics. Rigorous due diligence and a keen understanding of market trends will be essential for navigating the potential fallout from an AI market correction.

More From TheDailyOverview