Michael Burry, the hedge fund manager immortalized for his prescient bet against the U.S. housing bubble before the 2008 financial crisis, has assembled sweeping short positions across the artificial-intelligence semiconductor sector, targeting both a flagship industry ETF and individual chip heavyweights including Nvidia Corp. (NVDA), Advanced Micro Devices Inc. (AMD) and Micron Technology Inc. (MU).
His flagship bearish wager targets the iShares Semiconductor ETF (ticker SOXX), a widely tracked fund holding 30 top U.S. chipmakers that has become the primary proxy for the AI-driven market rally. The fund’s top five holdings — accounting for 36.5% of total assets — are all central players in the AI compute boom: Micron at 8.16%, AMD at 8.15%, Nvidia at 7.50%, Broadcom Inc. (AVGO) at 6.56% and Intel Corp. (INTC) at 6.17%. By shorting the single ETF, Burry effectively bets against the entire AI semiconductor supply chain, from high-bandwidth memory and graphics processors to data center networking silicon.
Burry has also opened direct bearish positions on high-flying individual names. On July 1, he disclosed a short on Micron at $1,051.87 per share, targeting a stock that has surged nearly 700% over 12 months and 241% year-to-date on explosive demand for its HBM memory products. Burry argued Micron’s deviation from its 200-day moving average has surpassed levels seen at the peak of the dot-com bubble, marking an extreme anomaly for a company with a decades-long history of boom-and-bust cycles. His bearish stance on Nvidia dates to November last year, when he disclosed put options on 1 million shares; he has since expanded that position as AI bubble warnings have grown louder.
At the core of Burry’s thesis is a belief that chip valuations have decoupled from underlying fundamentals, stoked by a self-reinforcing speculative cycle. The semiconductor sector trades at a forward price-to-earnings ratio of 74.3, more than double that of the Nasdaq 100, while the Philadelphia Semiconductor Index sits near the top of its 15-year valuation range. Bank of America’s Bubble Risk Indicator for the sector stands at 0.91, edging close to formal bubble territory, as share-price gains have far outpaced the growth of capital spending from hyperscale cloud customers.
Burry has framed the AI rally as a self-perpetuating feedback loop: chip stocks rally on big tech’s infrastructure spending plans, equipment makers climb on chipmakers’ capacity expansions, and investors treat every new factory announcement as proof of endless demand growth. He recently called South Korea’s plans for a massive domestic chip hub “the beginning of the end,” arguing investors are pricing in perpetual growth long before it is clear whether hundreds of billions in AI spending will deliver sufficient returns. In social media posts, he described the AI investment narrative as “mass addiction” that will “die a death of a thousand cuts,” warning the recent sell-off is only the opening phase.
The market has already delivered a sharp initial reaction. The Philadelphia Semiconductor Index tumbled 6.3% on July 1 and a further 5.5% on July 2, a two-day drop of more than 11%. Micron led the rout, plunging over 16% in the same period and falling below Burry’s entry price for his short. Nvidia and AMD also posted steep declines, inflicting heavy paper losses on investors who chased the rally at record highs.
Bulls push back that the AI boom is rooted in tangible, accelerating demand rather than pure speculation. Micron posted 345% year-over-year revenue growth in its latest quarter, with HBM orders extending well into 2027. Nvidia has grown revenue sevenfold over three years and holds a $4.7 trillion market capitalization as the world’s most valuable company. Global hyperscalers are on track to spend more than $700 billion on AI data centers in 2026, underpinning what many analysts see as a multi-year structural growth cycle.
The clash between one of Wall Street’s most famous bears and the market’s hottest growth trade has pushed semiconductor volatility to multi-month highs. For mainstream investors, the deepening divide serves as a caution signal: while the AI transformation remains in its early stages, chasing the rally at current valuation levels carries substantial downside risk if earnings fail to meet lofty expectations.
