Uber Puts a $1,500 Cap on AI Spending After Blowing Its Entire Annual Budget in Four Months
Uber has put the brakes on its AI spending, and the reason is as telling as the move itself. The ride-hailing giant has rolled out a hard Uber AI spending cap of $1,500 per employee per month on agentic coding tools, following a spending spiral that saw the company burn through its entire annual AI budget before April even ended.
The new rule applies to tools including Anthropic’s Claude Code and Cursor, and employees can track their usage in real time through an internal dashboard. Those who need more headroom for demanding projects can apply for an exemption, but the days of unlimited AI access appear to be over at the company.
Prior to the caps being introduced, individual software engineers were racking up between $500 and $2,000 per month in token consumption alone. That adds up fast across a company the size of Uber, and it shows just how quickly unchecked AI adoption can strain even the largest tech budgets.
The roots of the problem trace back to an internal culture that actively pushed AI to the extreme. Uber had encouraged staff to use AI “as much as possible” and even ranked internal usage competitively on leaderboards, according to a previous report by The Information. That strategy, while aggressive, came without guardrails, and the financial consequences followed.
Uber’s CTO Praveen Neppalli Naga disclosed the budget breach in April, confirming the company had completely exhausted its planned 2026 AI coding budget within the first four months of the year. Around the same time, COO Andrew Macdonald acknowledged it remains difficult to draw a straight line between AI expenditure and tangible new consumer features, raising uncomfortable questions about whether the spend was delivering real value.
The Uber AI spending cap is now part of a broader reckoning happening across the tech industry. As costs climb and return on investment stays murky, companies that once raced to go all-in on AI tools are now doing the math and pulling back. Uber’s experience is a case study in what happens when enthusiasm outruns accountability, and other firms are watching closely.
