The number everything rests on was $20bn too high
Roughly half a trillion dollars of AI borrowing rests on a revenue figure that one private company reports about itself, that no auditor has checked, and that just moved by 30%.
OpenAI's annualized revenue, the latest month's sales multiplied up to a full year, was approaching $50bn at the end of September, according to financial documents shared with investors and seen by the Financial Times. Late last month the same investors were being told, and the press was reporting, a figure of about $70bn, and OpenAI did not deny it at the time. A number that hundreds of billions of dollars of borrowing depends on had just shrunk by $20bn. The Nasdaq 100, the index of America's largest technology shares, fell 1.7% after the report, Nvidia fell 2.9%, Oracle almost 6%, and the companies that rent computing power to OpenAI, which the industry calls neoclouds, fell harder (CoreWeave 7.8%, Nebius 7.3%).
Nobody's sales actually fell. The gap is a matter of definition. Anthropic counts sales made through Amazon's and Google's clouds in its figure; OpenAI does not. Investors trying to compare the two "grossed up" OpenAI's figure, inflating it to match Anthropic's method, to about $40bn in July, then applied the company's own statement that revenue had grown more than 70% since, and arrived at $70bn. The new presentation shows roughly $30bn in July, and 70% growth from there lands near $50bn.
What matters is what sits on top of that number. OpenAI's revenue figure is the input to every downstream decision about money spent building things: Oracle's leases, the Broadcom and SpaceX chip financings, Nvidia's guarantees, the $1.4tn valuation OpenAI is currently seeking in a private fundraising. OpenAI is a private company and is not required to disclose anything. Yet the market has been pricing hundreds of billions of dollars of publicly traded debt and shares off a figure that can move by $20bn when someone changes how it is counted.
The 70% growth rate is intact, and it is still extraordinary. But the day's lesson is that the single most important measure of demand in the whole AI build is a number the company reports about itself, with no agreed definition, and the public market reacts to it as if an auditor had signed it. Yesterday's moves in the neoclouds, down 7% on a day when the demand they depend on did not actually change, are the price of that. Nothing was added to the risk here; we found out that a load-bearing number was softer than we had been treating it.