Burry says markets should tank to stop OpenAI, Anthropic IPOs
- Michael Burry urged markets to crash to prevent OpenAI and Anthropic IPOs
- Burry warned these firms could destroy trillions in capital
- Anthropic reported $4.6 billion revenue and over $8 billion in losses
- OpenAI seeks $30 billion round at $1.4 trillion valuation; no 2026 IPO planned

*this image is generated using AI for illustrative purposes only.
Investor Michael Burry stated that markets should "tank hard" to prevent initial public offerings by OpenAI and Anthropic. He argued this action is necessary "for the benefit of humanity" to stop these companies from absorbing and destroying trillions in capital.
Burry's Warning on AI Capital
Burry took to social platform X to voice his concerns about the artificial intelligence sector. He responded to a user suggesting that both companies could lose value post-listing by asserting they would "suck up and then destroy TRILLIONS of dollars of capital." He added that such financial damage would be the least of the harm caused.
The investor has previously compared current enthusiasm for AI stocks to the late-1990s dot-com bubble. He has warned that investors may be overstating the earnings potential of technology companies.
IPO Plans and Financial Disclosures
OpenAI confidentially submitted a draft registration statement for a potential IPO in June but has not set a listing date. CEO Sam Altman indicated the company is not planning to go public in 2026. Reports suggest OpenAI is seeking a $30 billion funding round at a valuation of about $1.4 trillion.
Anthropic also confidentially filed for an IPO in June. Recent reports point to a potential November listing with a valuation around $2 trillion, though terms remain unfinalized.
| Company | Reported Revenue (2025) | Operating Losses | Valuation Estimate |
|---|---|---|---|
| Anthropic | $4.6 billion | >$8 billion | ~$2 trillion |
| OpenAI | Not disclosed | Not disclosed | ~$1.4 trillion |
What the Numbers Show
Anthropic's disclosures reveal a stark divergence between revenue generation and capital expenditure. The company reported $4.6 billion in 2025 revenue against operating losses exceeding $8 billion. This indicates that current operational losses are nearly double the annual revenue. Furthermore, the company outlined hundreds of billions of dollars in future computing commitments, suggesting that the cash burn rate will remain high relative to income as it scales infrastructure.
How might a significant market correction impact the ability of AI startups to secure private funding rounds ahead of their planned IPOs?
What regulatory changes could emerge if public market scrutiny reveals that AI valuations are disconnected from current cash flow realities?
Will institutional investors begin demanding stricter profitability metrics for tech companies before participating in major AI sector listings?

































