Uber blew its entire 2026 AI budget in 4 months — and one 2-hour coding session alone cost $1,200

Corporate America is pouring hundreds of billions of dollars into artificial intelligence. The technology is supposed to help companies save time and money. But for some businesses, simply paying for it is becoming a major expense.

Uber burned through (1) its entire artificial intelligence budget for 2026 in just four months. One executive managed to rack up a $1,200 bill during a single two-hour coding session.

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The spending surge came after Uber rolled out Anthropic's Claude Code to thousands of engineers, who adopted the AI coding tool much faster than the company's financial models anticipated. It shows how quickly AI costs can escalate when companies encourage widespread use of tools that charge according to consumption rather than a predictable monthly price.

It also raises a larger question facing corporate America: Are the billions of dollars pouring into AI producing results that justify the expense?

Uber introduced Claude Code across its engineering organization in December 2025. By February, 32% of its engineers were using agentic coding tools, but that figure had climbed to 84% by March. By the spring, 95% were using AI tools monthly, while roughly 70% of committed code originated from those tools, according to Forbes (1).

Claude Code can do more than suggest individual lines of code. Engineers can direct AI agents to work on multiple tasks, refactor large sections of software, generate tests and produce backend code, all of which can consume substantial computing resources.

The average monthly cost reportedly ranged from $150 to $250 per engineer. Heavy users generated bills ranging from $500 to $2,000, Forbes reported (1).

Uber also reportedly maintained internal leaderboards that ranked engineers according to their Claude Code usage. That encouraged employees to consume more AI resources even though the teams promoting adoption weren't responsible for controlling the budget.

The productivity gains remain difficult to measure. Uber President and Chief Operating Officer Andrew Macdonald later said it was becoming harder to justify rising token costs without evidence that they were producing more useful features for customers, according to The Verge (2).

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Uber's undisclosed AI budget is relatively small compared with the infrastructure spending underway at the world's largest technology companies.

Alphabet now expects its 2026 capital expenditures to reach between $180 billion and $190 billion, up from its earlier projection of $175 billion to $185 billion, as it builds additional computing capacity for AI and cloud services, according to the company's first-quarter earnings call (3).

That spending appears to be producing some measurable returns. Alphabet said revenue from Google Cloud products built on its generative AI models increased nearly 800% year over year during the first quarter, while cloud operating income reached $6.6 billion, the company reported (3).

Meta expects to spend between $125 billion and $145 billion in 2026, partly to support its AI infrastructure and Meta Superintelligence Labs. The company raised that forecast from an earlier range of $115 billion to $135 billion because of higher component prices and additional data-center costs, according to its first-quarter results (4).