WHY THIS MATTERS IN BRIEF
When staff burn a year’s AI budget in four months, the question becomes whether any of it pays off.
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Artificial Intelligence (AI) is getting expensive, and some companies are cutting back on usage in an attempt to moderate costs. That cohort includes Uber, which recently instituted internal usage caps as a way to cut down on its exorbitant AI spend.
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Bloomberg that the company has instituted a new rule that places a monthly $1,500 cap per employee and per agentic coding tool, including Anthropic’s Claude Code or Cursor. The usage is trackable via an internal dashboard that each employee has access to, although — in certain cases — the caps can be exceeded with permission, the company says.
The news is perhaps not too surprising, since, in April, the company’s CTO the ridesharing giant had blown through its entire annual AI budget in a matter of four months. That appears to have occurred after Uber encouraged staff to use AI “as much as possible” and even ranked their internal usage competitively on internal leader boards, The Information .
Uber’s COO, Andrew Macdonald, also on AI’s productivity impact, noting during a podcast appearance that “it’s very hard to draw a line” between AI usage and new consumer features.
Uber’s cutback raises a broader issue that the tech industry is currently facing: As enterprises pour money into AI, where exactly is the return on investment? Indeed, AI ROI has so far remained a that everybody hopes will eventually materialise — although some companies are obviously getting a little restless while they wait while others begin getting more interested in AI model routing startups …
Why would Uber cap the AI use it just encouraged?
Uber pushed staff to use AI “as much as possible,” then watched a year’s budget vanish in four months with no clear productivity payoff — so it imposed per-tool monthly caps while it works out where the ROI actually is.















