OpenAI’s $20 Billion Revenue Problem

THE GIST

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Open-weight labs pitching AI sovereignty are climbing the usage charts. Closed-model giants like OpenAI and Anthropic are handing them the opening with mounting compute losses, shaky financials, bad press, and growing public resentment toward the sector and its billionaires. Much lower costs don't hurt either.

As retail users and enterprises build out their AI stacks, they may settle on a mix of open and closed models. Or the race could turn zero-sum, with every gain for one side coming straight out of the other.

WHAT HAPPENED

The biggest tell that all isn't well in AI land: OpenAI, which is in talks to raise at a $1.4 trillion valuation, told investors its annualized revenue was approaching $50 billion, per the Financial Times.

That's about $20 billion below the figure investors had pieced together from its own disclosures. OpenAI never denied the higher number while it circulated, and it declined to comment to the FT. Tech stocks didn't wait. Oracle fell 5.5% and Nvidia 2.9% after the story broke.

This is the same company that expects to burn $278 billion in cash between 2026 and 2030. The expense side is worse. OpenAI expects to spend $856 billion on compute and AI infrastructure through 2030, all while promising (sorry, projecting) that revenue will climb from $36 billion this year to $350 billion in 2030. That's a tenfold jump in four years, adding up to $840 billion in cumulative revenue.