
the intelligence factory race between AI labs — -anthropic-ipo-finances-04b3cfb9?mod=tech_lead_story”>The Wall Street Journal just published confidential financial documents from both OpenAI and Anthropic — materials shared with investors ahead of their latest funding rounds and anticipated IPOs.
The numbers are extraordinary. OpenAI expects to spend $121 billion on compute — as explored in the economics of AI compute infrastructure — in a single year. Anthropic’s training costs start at near zero relative to revenue, then collapse as a share of sales faster than any comparable technology business in history.
These are not tech company financials. They are the economics of an arms race dressed in a spreadsheet.
But the more important story isn’t the raw numbers. It’s the structural divergence between two companies that appear to be in the same business — building frontier AI models — but are executing two fundamentally different bets on how to survive, scale, and eventually dominate.
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