# Uber Caps Usage of AI Tools Like Claude Code to Manage Costs

> Source: <https://simonwillison.net/2026/Jun/3/uber-caps-usage/#atom-everything>
> Published: 2026-06-03 12:01:27+00:00

[Uber Caps Usage of AI Tools Like Claude Code to Manage Costs](https://www.bloomberg.com/news/articles/2026-06-02/uber-caps-usage-of-ai-tools-like-claude-code-to-cut-costs)

The rideshare giant is limiting all employees to $1,500 in monthly token spending per AI coding tool, an Uber spokesperson said in response to a Bloomberg News inquiry. That means spending on one tool doesn’t have a bearing on the budget for another. The limits, which have been instituted in recent months, only apply to agentic coding software such as Cursor or Anthropic PBC’s Claude Code.

A $1,500 monthly limit per tool strikes me as a rational policy response to over-spending, and *much* more sensible than those [tokenmaxxing](https://en.wikipedia.org/wiki/Token_maxxing) leaderboards encouraging employees to compete for as much AI usage as possible.

It's also interesting in that it hints at a real dollar value for what Uber is getting out of these tools. If we assume two actively used tools per engineer that's $3,000 * 12 = $36,000 cap per engineer per year. Levels.fyi lists [the median yearly compensation package for Uber software engineers in the USA](https://www.levels.fyi/companies/uber/salaries/software-engineer?country=254) at $330,000.

That means each employee's AI spending cap is ~11% of that median compensation package.

I [noted](https://simonwillison.net/2026/May/27/product-market-fit/#enterprise-customers-are-now-paying-api-prices) that my own token usage comes to about $1,000/month against each of Anthropic and OpenAI - which currently costs me just $100 per provider thanks to their generous subsidized plans for individual subscribers. Those plans are no longer available to larger companies like Uber.

Their new policy means if I were working at Uber I'd still have ~$500/month of tokens to spare for each of those tools, given my current usage patterns.

Tags: [ai](https://simonwillison.net/tags/ai), [generative-ai](https://simonwillison.net/tags/generative-ai), [llms](https://simonwillison.net/tags/llms), [llm-pricing](https://simonwillison.net/tags/llm-pricing), [coding-agents](https://simonwillison.net/tags/coding-agents), [uber](https://simonwillison.net/tags/uber)
