Anthropic's own Head of Economics admits there has been 'no material increase in the unemployment rate to date.' That fact alone should end the jobs debate. Instead, Anthropic's Economic Index and OpenAI's Economic Research Exchange keep manufacturing urgency around theoretical labor displacement, a distraction from a more concrete and damaging story: the money does not add up.
The entire AI industry generated roughly $110 billion in trailing twelve-month revenues, including cloud spend from OpenAI and Anthropic themselves. OpenAI alone raised $122 billion in a single March funding round. AI startups collectively raised $255 billion in Q1 2026. The industry is spending multiples of its own revenue on the promise that a niche technology becomes the next Google Search or Microsoft 365. Elevation Partners' Roger McNamee has called this structure a 'humongous bubble.'
This piece by Ed Zitron maps the specific financial obligations that make the math brutal: what OpenAI and Anthropic must generate to meet their commitments, how hyperscalers justify their infrastructure bets, and why venture capital's AI exposure produces paper gains with no realistic liquidity path. The argument worth reading is not the conclusion but the mechanism: as infrastructure costs compound, the price of compute must rise, and the only customers who could absorb that price are the same ones already unable to pay for it.
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