The Intelligence Factory: OpenAI vs Anthropic

Part One - Premium Analysis

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 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.

Understanding that divergence requires looking beyond revenue projections to the mechanisms underlying them.