Key Highlights

  • One 2-hour coding session using Anthropic’s Claude Code cost $1,200, highlighting escalating expenses.
  • By spring 2026, 95% of Uber engineers used AI tools monthly, with 70% of committed code originating from AI.
  • Shares rose 2.5% to $73.89 today, though down 10.8% year-to-date amid cost concerns.

Burned through its entire 2026 artificial intelligence budget in just four months, as engineers rapidly adopted AI-powered coding tools, sparking internal debate over whether the spending delivers measurable productivity gains. The ride-hailing giant’s aggressive push into agentic coding, led by Anthropic’s Claude Code, saw costs spiral, with one executive racking up a $1,200 bill in a single two-hour session. The company introduced Claude Code to its engineering teams in late 2025, and adoption surged: by February, 32% of engineers were using the tool, a figure that climbed to 84% by March.

By spring, 95% of Uber’s engineers were leveraging AI tools monthly, with roughly 70% of all committed code originating from these systems. The financial strain became evident as costs per engineer ballooned. The average monthly expense ranged from $150 to $250, but heavy users generated bills between $500 and $2,000.

Uber maintained internal leaderboards ranking engineers by Claude Code usage, a move that accelerated adoption but also raised red flags among executives.

The Numbers Behind the Spending Spree

The rapid depletion of Uber’s AI budget underscores the high cost of scaling generative AI tools across large engineering teams. A single two-hour coding session with Claude Code cost $1,200, a figure that would have been unthinkable just a year earlier. While 95% of engineers now use AI tools monthly, the financial impact has been uneven: some teams stayed within the $150–$250 average, while power users drove expenses into the thousands.

Uber’s market capitalization stands at $146.7 billion, but the company’s stock performance reflects investor unease. The stock has clawed back 7.3% over the past month, but the AI spending spree adds another layer of scrutiny to Uber’s cost management.

Why It Matters Now

Uber’s AI spending binge arrives as tech giants and startups alike grapple with the financial realities of generative AI. While adoption has been swift, with 70% of Uber’s code now AI-generated, the lack of clear productivity metrics could dampen investor enthusiasm. The company’s internal leaderboards, designed to gamify AI usage, may have inadvertently accelerated costs without proving a corresponding boost in output.

For shareholders, the key question is whether Uber’s AI investments will pay off in long-term efficiency gains or become another line item that weighs on margins.

What to Watch Next

Investors will be closely monitoring Uber’s next earnings call for any commentary on AI-related productivity metrics or cost controls. The company’s ability to rein in spending while maintaining its AI momentum could determine whether the stock’s recent rebound has staying power. With the 52-week range still wide, $67.19 to $101.99, Uber’s next move on AI could set the tone for its valuation in the second half of 2026.

Based on internal company data reviewed 15 July 2026.

This article is for informational purposes only and does not constitute financial advice. Please consult a licensed financial adviser before making investment decisions.