Key Takeaways
- Michael Burry dismissed accusations that his previous short positions on Nvidia, Tesla, and housing were unsuccessful
- The investor has established bearish positions targeting Nvidia, Tesla, Micron, Applied Materials, and a semiconductor exchange-traded fund
- Burry warned “The end is nigh” and described the AI market enthusiasm as “mass addiction”
- The Philadelphia Semiconductor Index plummeted 6.3% on July 1 followed by a 5.5% decline on July 2
- Bank of America’s Bubble Risk Indicator registered semiconductors at 0.91, approaching bubble threshold levels
The investor who correctly forecasted the 2008 financial crisis, Michael Burry, is intensifying his stance that artificial intelligence stocks have become dangerously overpriced and are approaching a significant correction.
Burry recently pushed back against social media posts on X suggesting his short positions against Nvidia, Tesla, and the mortgage market had all proven unsuccessful. When one X user labeled him “Captain Broken Clock,” Burry responded tersely: “Nice graphic, but nothing on it is true.”
The Investor Increases Bearish Market Positions
In recent filings, Burry revealed expanded short positions targeting Tesla, Nvidia, Micron, Applied Materials, Caterpillar, and the iShares Semiconductor ETF.
According to Burry, semiconductor equities have surged far beyond the fundamentals of companies actually purchasing AI infrastructure. His analysis demonstrated the Philadelphia Semiconductor Index trading near peak levels of its 15-year valuation range based on forward price-to-earnings multiples.
Burry shared the ominous message “The end is nigh” on his social platform, followed by a Joker quote from Tim Burton’s Batman: “Dancing with the devil in the pale moonlight.” He characterized the AI explosion as “mass addiction” and suggested the dominant narrative “may die a death by a thousand cuts.”
His Micron short position was initiated on July 1 when shares traded at $1,051.87. The stock had climbed nearly 700% during the previous year and surged 241% throughout 2026. Burry positioned this trade as a wager against crowd psychology, pointing to fear of missing out and what he termed “public commitment bias.”
The Philadelphia Semiconductor Index crashed 6.3% on July 1 and continued downward with another 5.5% loss on July 2. During the same period, the S&P 500 declined 0.22% while the Nasdaq dropped approximately 0.7%.
Understanding the Scale of AI Investment
The magnitude of capital flowing into AI is unprecedented. Nvidia reached a $5 trillion market capitalization in October 2025, representing a 12-fold increase since ChatGPT’s debut in 2022.
Microsoft, Alphabet, Amazon, and Meta collectively held more than $10 trillion in market capitalization and represented 17% of the S&P 500 during the early part of this year.
These identical technology giants, including Oracle, secured $255 billion through debt and equity offerings in 2026 and are projecting approximately $750 billion in AI data center capital expenditure by year’s conclusion.
The Magnificent Seven experienced a combined market value erosion exceeding $2.2 trillion during June 2026 alone.
Burry’s fundamental thesis argues that semiconductor stocks are appreciating primarily because large technology companies continue aggressive AI spending. Equipment manufacturers benefit as chipmakers expand production capacity. Subsequently, investors interpret each capital expenditure announcement as validation that demand will perpetuate indefinitely.
Regarding Samsung and SK Hynix’s announcement of a major chip manufacturing complex in Korea, Burry stated: “I see that as the beginning of the end.”
Bank of America’s Bubble Risk Indicator registered the semiconductor sector at 0.91. While this metric doesn’t definitively predict a collapse, it illustrates the extreme valuation levels the sector has achieved.
Burry maintains his position that market participants may be overpaying prematurely, before concrete evidence emerges demonstrating whether AI capital deployment will generate substantial returns on investment.
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