AI's Affordability Crisis: OpenAI and Anthropic Burn $8–$14 to Make $1

David Cahn's September 2023 'AI’s $200B Question' flagged the gap between AI revenue and infrastructure spend. Nine months later, the gap tripled to $600B. Ed Zitron and DSHR now confirm the scale: AI platforms are burning $8 to $14 for every dollar of revenue, sustaining the drug-dealer pricing model until IPOs force real prices.

Token Subsidies: 40–70x

SemiAnalysis ran tests maxing out OpenAI and Anthropic subscription rate limits with long-horizon coding tasks. Results: a $200/month Anthropic subscription lets you burn $8,000 in tokens; OpenAI's $200 plan burns $14,000. That's a 40x and 70x subsidy, respectively. Under plausible gross margin assumptions (4x token price over cost), using just 25% of the rate limit yields negative 25% gross margin.

OpenAI's 2025 Financials

Zitron published OpenAI's 2025 financials: revenue $13.07B, costs and expenses $34B (including $41.55B non-recurring from conversion to for-profit, net loss $38.5B). Strikingly, $5.73B went to sales and marketing—44% of revenue. Despite this, business adoption has been flat. At year-end, OpenAI had $50B in assets, half in cash.

What This Means for Developers

As AI companies approach IPOs (SpaceX, Anthropic, OpenAI), they must raise prices to generate returns. Early moves: Microsoft shifted GitHub Copilot to token-based billing and tightened rate limits (April 2026 report). If you rely on subsidized tokens, expect cost increases of 40–70x once subsidies end. Budget accordingly, and monitor platform pricing changes.