Enterprise AI ROI Requires Top-Down Headcount Constraints, Not Bottom-Up Cuts
Andrew Macdonald (Mac) · Uber President on Travis, China & Self-Driving | Why Autonomy Is Existential | How to Beat DoorDash · Aug 17, 2026 · at 39:12
Andrew Macdonald, President and COO of Uber, discusses how enterprises can translate AI-driven productivity gains into actual operational cost reductions.
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“I think the way companies ultimately have to extract AI efficiency, at least from like a pure OPEX perspective, is just in your target setting, hold the constraints tighter. Like, if we really believe that AI is making our employees 10% or 20% or 30% more efficient, then next year we should just not increase headcount. Or we should increase it by two percent instead of 10%. Or we should decrease it by five percent and say, you all should be getting more done with less.”
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