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Simon Willison — Uber Caps Usage of AI Tools Like Claude Code

Source: Simon Willison's Blog

Uber blew through its entire 2026 AI budget in just 4 months. The company's new response: cap all employees at $1,500 per month per AI coding tool (Cursor, Claude Code).

The Numbers

Simon Willison breaks down whether this is reasonable or draconian:

  • At $1,500/tool × 2 tools = $36,000/year per engineer
  • Median Uber engineer compensation: ~$330,000/year
  • AI tooling costs represent ~11% of total comp — significant but not absurd given productivity multipliers

Willison's own AI coding tool usage runs ~$1,000/month, though subsidized plans cost him just $100/month personally.

A Rational Response

Willison characterizes the cap not as anti-AI sentiment but as a rational response to an unbudgeted variable cost. Enterprises budget annually. When AI tool spend grows 10× faster than anticipated, something has to give.

Key dynamics at play:

  1. Discoverability — engineers are still learning what AI can do for them, each new use case adds to the baseline.
  2. Habit formation — once an engineer builds a workflow around AI code generation, revocation feels like a productivity loss.

Broader Lesson

The Uber cap reveals something important: tokenmaxxing is real. When organizations first adopt AI coding tools, usage explodes as engineers explore boundaries. The bill arrives month 4.

For the broader industry: AI tooling needs predictable pricing models — enterprise seats, consumption caps, or committed-use discounts — before it can be treated as infrastructure rather than an experiment.