Uber Executive Questions Rising AI Spending Despite Company’s Heavy Reliance on Artificial Intelligence

Uber has built much of its modern business model around artificial intelligence, using AI systems to determine ride prices, optimize travel routes, predict demand patterns, and improve overall platform efficiency. However, one of the company’s top executives is now raising concerns about whether the growing cost of AI investment is delivering enough measurable value to consumers.

In a recent interview on the Rapid Response podcast, Uber president and chief operating officer Andrew Macdonald admitted that it remains difficult to directly connect the company’s increasing use of AI coding tools with meaningful improvements in customer-facing products.

According to Macdonald, while AI may be helping teams ship more updates and software changes internally, the impact on actual consumer features is still unclear. He explained that there is currently no obvious way to measure whether the company’s heavy AI adoption is translating into significantly better experiences for users.

The comments come amid reports that Uber exhausted its entire 2026 budget for AI coding tools within just four months. The company had reportedly encouraged employees to aggressively adopt artificial intelligence technologies through internal competitions and leaderboard rankings that tracked team usage of AI tools.

One of the technologies at the center of the discussion is Anthropic’s Claude Code, an AI-powered coding assistant increasingly used across the tech industry to speed up software development.

Macdonald’s remarks highlight a growing challenge facing many technology companies: although AI systems are becoming cheaper on a per-use basis, overall spending continues to rise as businesses scale up adoption across entire organizations.

He suggested that the economics of AI become harder to justify when companies cannot clearly demonstrate how increased spending improves products or creates more useful features for customers.

Uber is not alone in facing these concerns. Microsoft reportedly began reducing direct Claude Code licenses for many engineers earlier this month, instead encouraging developers to shift toward GitHub Copilot CLI as part of broader efforts to manage AI-related expenses.

Meanwhile, several major business leaders who were once highly optimistic about artificial intelligence have recently moderated their expectations. Luis von Ahn, chief executive of Duolingo, previously stated that he no longer believes AI will fully replace the tasks performed by employees.

The debate reflects a wider shift happening across Silicon Valley, where companies continue pouring billions into artificial intelligence while increasingly facing pressure from investors and executives to prove that the technology can generate sustainable returns and practical value beyond internal experimentation.

For Uber, which already relies heavily on AI to power many core aspects of its platform, the challenge may now be less about adopting artificial intelligence and more about proving that the enormous investment truly benefits riders, drivers, and long-term business growth.