Key Takeaways
- The Big Short investor disputed accusations that his previous wagers against Nvidia, Tesla, and housing were unsuccessful
- Burry has established short positions targeting Nvidia, Tesla, Micron, Applied Materials, and a major semiconductor fund
- The famed investor warned “The end is nigh” while describing AI enthusiasm as “mass addiction”
- Semiconductor stocks experienced sharp declines with the Philadelphia Semiconductor Index falling 6.3% and 5.5% over two consecutive days in July
- Bank of America’s Bubble Risk metric positioned semiconductors at 0.91, approaching critical bubble levels
Michael Burry, renowned for his accurate forecast of the 2008 financial crisis, is intensifying his stance that artificial intelligence stocks are dramatically overpriced and vulnerable to a significant correction.
The hedge fund manager recently fired back at social media posts on X suggesting his wagers against Nvidia, Tesla, and the housing sector had been unsuccessful. When an X user labeled him “Captain Broken Clock,” Burry responded bluntly: “Nice graphic, but nothing on it is true.”
Growing Short Portfolio Targets Tech Giants
In recent filings, Burry revealed additional bearish positions against Tesla, Nvidia, Micron, Applied Materials, Caterpillar, and the iShares Semiconductor ETF.
His analysis suggests semiconductor equities have surged far beyond justification based on actual AI infrastructure purchases. Data he presented indicated the Philadelphia Semiconductor Index trading near peak levels within its 15-year forward P/E valuation band.
Burry’s social media posts included ominous warnings like “The end is nigh,” followed by a Joker quote from Tim Burton’s Batman: “Dancing with the devil in the pale moonlight.” He characterized the AI enthusiasm as “mass addiction” and predicted the prevailing story “may die a death by a thousand cuts.”
His Micron short position, revealed July 1st at $1,051.87, came after the stock had skyrocketed nearly 700% over twelve months and 241% in 2026. Burry characterized this trade as opposing crowd psychology, attributing the rally to FOMO and “public commitment bias.”
The semiconductor sector experienced brutal selloffs with the Philadelphia Semiconductor Index plunging 6.3% on July 1st followed by another 5.5% drop July 2nd. Meanwhile, broader indices showed relative stability with the S&P 500 declining just 0.22% and the Nasdaq falling approximately 0.7% during the same period.
Examining the Magnitude of AI Investment
The financial commitment to artificial intelligence has reached staggering proportions. Nvidia achieved a $5 trillion market capitalization by October 2025, representing a 12-fold increase since ChatGPT’s introduction in 2022.
Microsoft, Alphabet, Amazon, and Meta collectively commanded over $10 trillion in market value earlier this year, comprising 17% of the entire S&P 500 index.
These technology behemoths, joined by Oracle, secured $255 billion through combined debt and equity offerings in 2026 while projecting approximately $750 billion in AI data center expenditures before year’s end.
The so-called Magnificent Seven stocks shed more than $2.2 trillion in market capitalization during June 2026 alone.
Burry’s fundamental thesis centers on a feedback loop: semiconductor stocks rally because technology giants maintain aggressive AI spending. Equipment manufacturers benefit as chipmakers expand production capacity. Then market participants interpret each spending announcement as validation that demand growth is sustainable.
Regarding Samsung and SK Hynix’s announcement of a massive Korean chip manufacturing hub, Burry declared: “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 reading doesn’t guarantee an imminent collapse, it demonstrates how extended valuations have become.
Burry’s fundamental concern is that market participants are overpaying prematurely, before concrete evidence emerges showing whether massive AI investments will generate corresponding financial returns.
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