Uber: Getting Hard to Justify High AI Costs

Uber is beginning to question the value of its substantial investments in artificial intelligence, as the company struggles to demonstrate clear returns from its AI initiatives. Despite widespread enthusiasm across the tech sector about AI’s transformative potential, Uber’s leadership has expressed difficulty in linking AI-driven productivity gains to tangible improvements in their products or services. Andrew Macdonald, Uber’s Chief Operating Officer, highlighted the challenge of quantifying how AI tools have directly contributed to increased output or enhanced consumer features, suggesting that the promised efficiencies remain elusive. The company’s experience echoes concerns raised by other industry figures, such as Duolingo’s CEO Luis von Ahn, who found that AI had not delivered the expected efficiency improvements in his own organisation. Macdonald pointed out that while AI is undoubtedly a significant societal shift, its practical impact within Uber’s engineering teams is harder to identify. He noted that despite the use of advanced AI systems like Claude Code, the correlation between AI usage and the delivery of new or improved features is not yet clear, complicating efforts to justify ongoing AI expenditures. Uber’s CTO, Praveen Neppalli Naga, recently revealed that the company had exhausted its AI budget for 2026 by March, underscoring the high costs associated with deploying AI technologies at scale. This financial pressure is prompting Uber to reconsider how it balances spending on AI against other resources such as headcount, especially when the return on investment remains uncertain. Macdonald emphasised the difficulty of making strategic decisions about AI deployment without a clear understanding of its direct benefits to the company’s products and users. Despite these challenges, Uber remains optimistic about the future of AI and its potential to drive innovation. However, the current situation serves as a cautionary tale about the hype surrounding AI and the importance of critically assessing its real-world impact. As more organisations grapple with the costs and benefits of AI, Uber’s experience may signal a broader reassessment within the tech industry regarding the practical value and sustainability of AI investments.