Anthropic/OpenAI Unit Economics May Be Deeply Negative at Scale

The argument: LLM providers may be spending 10x or more per dollar of revenue, with benchmark success rates of 50–80% on coding tasks being effectively useless in fully agentic pipelines where errors compound. The piece also challenges Anthropic's 'AI builds itself' framing as obscuring key caveats about code churn and quality.