OpenAI’s real revenue number is $20 billion smaller than Wall Street thought. The market did not take the news well.
The Financial Times reported Thursday that OpenAI recently told investors its annualized revenue is nearing $50 billion, not the $70 billion figure that media outlets, including the FT itself, had previously cited based on information from investors. Markets dropped fast: the Nasdaq Composite sank 1.4% on the news, on pace for its worst trading day since July.
The selling accelerated after the report landed midday, with the S&P 500 dropping 0.7% and the Dow Jones Industrial Average slipping 0.1%, or 56 points. And the damage was concentrated exactly where you’d expect: the PHLX Semiconductor Index fell 4.2%, with Nvidia down 3% and Intel and Oracle each off 6%.
OpenAI declined to comment.
What the FT actually found in OpenAI’s revenue numbers
Here’s the part that matters more than the headline number. According to a source familiar with the financial documents CNN cited, the $70 billion figure never came from OpenAI at all.
The likeliest explanation: firms wanted an apples-to-apples comparison with Anthropic, whose revenue number includes gross sales flowing through cloud providers. OpenAI’s figure is based on net revenue. So the “$20 billion gap” is, at least partly, an accounting comparison problem, not evidence that OpenAI is losing $20 billion of business it once had.
That hasn’t stopped anyone from treating it as a warning sign. The discrepancy lands at a moment when investors are already asking hard questions about whether AI demand is strong enough to justify the colossal spending on the buildout — the data centers, the chips, the hundreds of billions in financing commitments. Shay Boloor, chief market strategist at Futurum Equities, noted the gap is “simply the value of sales flowing through” Amazon Web Services, Google, and Microsoft Azure, adding that whoever owns the distribution toll booth keeps looking like the real winner of the AI model race.
Why this selloff hit the whole AI trade
The selloff was not about OpenAI’s valuation directly. OpenAI is a private company. It was about what OpenAI represents: the centerpiece of the AI trade.
Semiconductor stocks, cloud providers, and data-center plays have been priced as though AI revenue growth is close to unlimited. A $20 billion haircut on the most important private company in the space forces the question: if OpenAI’s numbers were overstated by roughly 40%, what else in the AI trade is built on optimistic math?
“Certainly, OpenAI recurring revenue missing expectations could be seen as a canary in the coal mine,” Daniel Newman of the Futurum Group told Barron’s. He also cautioned that the numbers aren’t yet verified and called the market reaction overblown, pointing out that the economics are still flowing toward OpenAI and Anthropic.
Fair. But “unverified numbers moving the market” is itself the story. The AI trade has gotten so big — the Nasdaq had just pulled back from record highs a day earlier — that a single report can wipe out billions in market cap before the closing bell.
What this means for the IPO wars
The timing is awkward for Sam Altman. Last month he announced OpenAI would postpone its IPO until at least next year, citing concerns about AI safety. That explanation sounded reasonable at the time. It sounds a lot more convenient now.
Meanwhile, across the street, Anthropic is reportedly preparing to launch its IPO later this fall with a target valuation around $2 trillion, per media reports. In August, Bloomberg and Reuters reported Anthropic was on track for an annualized revenue run rate above $65 billion.
Which makes the accounting footnote genuinely interesting. If Anthropic’s number is gross and OpenAI’s is net, the two companies may be closer than the headlines suggest. Or Anthropic’s number may be inflated the same way OpenAI’s was. Investors now have to ask which set of books they’re actually buying into — and that uncertainty is exactly what sent Oracle, which has tied hundreds of billions in bets to its relationship with OpenAI, down 6% in a single session.
One bad data point doesn’t kill an industry. But it does reprice one.
FAQ
Why the OpenAI revenue gap shook markets
First, the Nasdaq’s 1.4% drop was the worst since July, and it was driven almost entirely by AI-exposed names. Second, the $20 billion discrepancy looks like an accounting mismatch (net vs. gross revenue) rather than missing business — which means the real problem is opacity, not performance. Third, the IPO calculus just changed: OpenAI has already pushed its listing to next year, while Anthropic’s fall IPO would now face much sharper questions about its own $65 billion run-rate figure. Markets can forgive high spending. They can’t forgive numbers they can’t trust.
Is OpenAI really making less money than thought?
Not necessarily. The FT reports OpenAI told investors its annualized revenue is nearing $50 billion, which is the number OpenAI itself provided. The earlier $70 billion figure came from investor-sourced media reports, not from OpenAI’s books — so this looks like a correction of outside estimates rather than a sudden drop in actual business.
How far did tech stocks fall on Thursday?
The Nasdaq Composite fell 1.4%, the S&P 500 dropped 0.7%, and the Dow slipped 0.1%, or 56 points. The PHLX Semiconductor Index sank 4.2%, while Nvidia fell 3% and Intel and Oracle each fell 6%, according to CNN and Barron’s.
Why does net vs. gross revenue matter here?
A source familiar with the documents told CNN that the $70 billion estimate likely came from firms comparing OpenAI with Anthropic’s gross revenue, which includes sales flowing through cloud providers like AWS, Google, and Microsoft Azure. OpenAI’s figure is based on net revenue, so the comparison was never apples-to-apples.
When are OpenAI and Anthropic going public?
OpenAI postponed its IPO until at least next year, with Sam Altman citing AI safety concerns. Anthropic is expected to launch its IPO later this fall, reportedly seeking a $2 trillion valuation — and its own revenue figures will now face tougher scrutiny from investors.
Sources: Financial Times (via CNN), CNN, Barron’s, MarketWatch, Investopedia
