Uber President Says It's Becoming Increasingly Hard to 'Justify' AI Spending
Key point
Uber is struggling to justify its AI investment because there's a missing link between rising AI token consumption and actual feature improvements.
Details
Uber is investing aggressively in AI—having nearly exhausted its annual AI budget just 4 months into 2026—but is raising questions about the real return on investment (ROI).
Andrew Macdonald, Uber's COO, pointed out that even though token consumption for tools like Claude Code is surging, this isn't directly translating into an increase in useful features delivered to consumers. He explained that even as the metrics move in an astronomical direction, it's very difficult to prove a correlation with the functional value consumers actually experience.
Uber spent $3.4 billion on R&D in 2025, up 9% year-over-year. CEO Dara Khosrowshahi said the company is offsetting AI investment costs by reducing new hires.
Macdonald emphasized that going forward, the correlation between token consumption costs and headcount needs to be carefully examined. He noted that without a direct link to the launch of useful features, it will become difficult to justify the current level of AI spending.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.