OpenAI Memo Slams Anthropic's $8B Revenue Inflation
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- OpenAI CRO Denise Dresser told employees Anthropic is "grossing up rev share with Amazon and Google" and overstating its run rate by roughly $8B — implying a true figure near $22B rather than the reported $30B.
- The same memo claims OpenAI's Microsoft partnership "limited our ability" to reach clients using AWS Bedrock, positioning a newly emphasized Amazon alliance as the strategic answer and citing "staggering demand" for the joint AWS product.
- Anthropic's apparent offense is including gross cloud-reseller revenue in its run rate (booked as sales & marketing expense), while OpenAI nets cloud sales — a methodology dispute that, per X commentator @bearlyai, would put OpenAI at ~$25B run rate vs. Anthropic at ~$22B on a like-for-like basis.
- The memo also previews a new "Spud" model that OpenAI says will make all its products "significantly better," per The Decoder's coverage of the leak.
- Cross-coverage consensus: The Verge, CNBC, Axios, Reuters, Implicator.ai, and The Information all frame the memo as a strategic-direction document emphasizing user lock-in, moat-building, and enterprise growth — with Anthropic-shaming as a secondary track.
- Dominant framing overlooks: The memo's timing as Dresser's debut communication signals a CRO-led effort to reshape the OpenAI–Microsoft narrative, not just a swipe at Anthropic; several commentators (Ethan Mollick, Ed Zitron) note that AI-lab internal memos increasingly appear designed to leak rather than stay internal.
- Miles Brundage and Chris O'Brien pushed back publicly, with Brundage urging OpenAI leaders to "stop caricaturing Anthropic" on safety-cooperation grounds and O'Brien calling the move a year-late recognition of Anthropic's structural advantages.
Why it matters: The leaked memo reframes the OpenAI–Anthropic rivalry as a fight over whose revenue numbers investors should trust, while simultaneously signaling to Microsoft that OpenAI sees AWS as essential to its enterprise ambitions — a dual pressure point that could reshape both the cloud-AI alliance map and how private AI companies report run rates ahead of any future IPO disclosures.
