Microsoft and Uber Question AI Cost Savings
Both Microsoft and Uber are reassessing the cost-effectiveness of their AI investments. Uber's COO has expressed concerns over the return on investment of AI technology, while Microsoft is adjusting its AI strategies to account for rising costs.
Two of tech's biggest AI adopters are openly questioning whether agentic coding tools pay for themselves. UBER burned through its entire 2026 AI budget in roughly four months, with per-engineer API costs running $500 to $2,000 a month after 95% of its engineers adopted the tools and AI began generating about 70% of committed code.
MSFT moved the other way, winding down most internal Claude Code licenses in mid-May 2026, with access in its Experiences and Devices division ending June 30, citing runaway token bills. The common thread: token-based pricing on agentic coding tools is producing bills that outpace the headcount savings the tools were meant to deliver.
Studies still credit developers with saving several hours a week and ROI of 2.5x to 6x, but those figures often exclude usage-based token costs. The episode is an early stress test of enterprise AI unit economics and could push vendors toward more predictable pricing. Investors will watch whether usage-based AI spend shows up as a margin headwind in upcoming software and cloud results.
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