Uber caps employee AI spending after budget overruns

As the costs of artificial intelligence continue to rise, some companies are beginning to scale back their usage in an effort to moderate expenses. Among this cohort is Uber, which has recently introduced internal usage caps to curb its AI spending. According to a report by Bloomberg, the company has instituted a new rule that places a monthly $1,500 cap per employee and per agentic coding tool—defined as AI software designed to perform coding tasks. This spending limit applies to tools such as Anthropic’s Claude Code and Cursor. To help monitor these expenses, individual usage is trackable via an internal dashboard that each employee can access. However, Uber has noted that, in certain cases, employees can exceed these caps if they obtain permission.

The introduction of these spending limits is perhaps not too surprising given the company’s previous budget issues. In April, Uber’s CTO revealed that the company had blown through its entire annual AI budget in a matter of four months. This depletion of funds followed an internal push to adopt the technology. According to previous reporting by The Information, Uber had actively encouraged its staff to use AI as much as possible, even going so far as to rank employees’ internal usage competitively on internal leader boards. This competitive approach to adoption ultimately contributed to the budget overrun, forcing the company to pivot from unconstrained usage to strict cost controls.

This shift toward cost containment comes as corporate executives begin to question the actual business value of widespread AI adoption. Uber’s COO, Andrew Macdonald, recently cast doubt on the technology’s productivity impact. During a podcast appearance, Macdonald noted that “it’s very hard to draw a line” between AI usage and the development of new consumer features. His skepticism reflects a broader challenge facing the industry, where the return on investment for artificial intelligence has so far remained a largely theoretical phenomenon. While enterprises continue to pour capital into these tools, some companies are growing restless waiting for clear financial returns, leading to a more cautious approach to operational spending.

Why it matters

Uber’s cutback highlights a growing tension for enterprises investing in artificial intelligence. As companies pour capital into these technologies, the actual return on investment remains largely theoretical, leading to increased scrutiny on spending.