The $20 Billion Miss That Wasn'tBy Joel Litman, chief investment officer, Altimetry
Last week, one number from a private company erased $169 billion in a single day...
ChatGPT maker OpenAI doesn't publish financial statements. It isn't a public company, so investors usually piece together its sales from leaks and investor pitches. Then the Financial Times reported last Thursday that OpenAI told investors its annualized revenue would be close to $50 billion. (Annualized revenue, or "run rate," takes recent sales and projects them out over a full year.) That was about $20 billion short of the nearly $70 billion investors were expecting. Wall Street panicked. AI chipmaker Nvidia (NVDA), which supplies semiconductors for OpenAI, fell about 3% on the news, wiping out $169 billion in market value. Cloud-database leader Oracle (ORCL), which has big contracts with OpenAI, dropped almost 6%. And the tech-heavy Nasdaq Composite Index had its worst day since mid-August. The reason for the fear was simple... If the biggest name in AI is selling less than everyone thought, maybe the hundreds of billions of dollars going into AI chips and data centers won't pay off. As we'll explain today, last week's sell-off was overblown. It had a lot more to do with how revenue gets counted than with AI demand... And it shows how easily a misunderstanding can turn into a much bigger market narrative. The 'missing' $20 billion comes down to one accounting choice...
Companies can count their sales in two ways. Gross revenue is the full amount a customer pays. Net revenue is what's left after any partners take their cut. That matters for AI because plenty of businesses don't buy AI models directly... Instead, many buy them through big cloud-computing companies, the same way you might buy an app through your phone's app store. These cloud companies then get a share of the revenue. Say a business pays $100 to use an AI model through a cloud partner, and the cloud company keeps $30. One AI firm might book the full $100 as sales. Another might book only the $70 it keeps. Same customer... same purchase... and two recorded totals that are $30 apart.
OpenAI's main rival, Claude maker Anthropic, counts the full amount of sales made through its cloud partners. OpenAI only counts its cut. So OpenAI's own investors had been adding the partner sales back in to compare the two companies evenly. That's where the bigger expected number came from. OpenAI never guided to it. If the market hadn't been too busy measuring OpenAI against a number the company had never promised to hit, it would've realized the business was actually booming... OpenAI told investors its run rate grew 77% in the third quarter. Its sales to businesses grew even faster, at 107%. We've seen a scare like this before...
In 2011, daily-deal site Groupon (GRPN) was getting ready to go public. Its first filing showed 2010 revenue of $713 million. That counted the full price of every coupon it sold... even though a big chunk of that money went straight to the restaurants and spas offering the deals. A few months later, Groupon switched to counting only its cut. Its 2010 revenue fell to $313 million overnight. But its costs fell by the same amount, so its profit wasn't affected. Still, the revenue revision was bad publicity for Groupon just weeks before it went public, raising questions about the company's numbers. OpenAI's news is due to the same type of accounting change. But this time, the market's reaction was even worse... In one day, Nvidia lost more than 8 times the revenue that disappeared from OpenAI's books. This was despite the difference coming from how revenue was counted, not from $20 billion in sales actually vanishing. The market seemed to figure its error out quickly, at least. By Friday's close, the Nasdaq had won back about half of Thursday's drop. This is why we use Uniform Accounting...
Revenue can be gross or net. Earnings can be "by the book" or "adjusted." Every company has room to pick its own rules... which is why we use Uniform Accounting to put every company on the same footing. So the next time a stock drops on a shocking headline number, start with one question: Was it counted the same way as the number it's being compared with? If it wasn't, the drop may be a chance to buy. That of course doesn't mean AI stocks can't fall for other reasons. But a real slowdown would show up in hard numbers, like spending cuts from AI's biggest buyers. Nvidia's next quarterly report, where it expects about $108 billion in sales, will be a good test. Until then, a new yardstick isn't a reason to panic. The bigger picture here hasn't changed... Demand for AI is still growing fast. Regards, Joel Litman
October 13, 2026
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