Uber COO questions AI token spend
In a Masters of Scale interview, Uber President and COO Andrew Macdonald frames the company’s AI posture as increasingly cost-conscious, saying the economics of heavy token usage are becoming harder to defend as more teams adopt AI at scale. The conversation also positions Uber as a company balancing near-term operating discipline with long-term bets on autonomy, travel, and broader platform utility, while keeping an eye on how AI costs affect business decisions across the industry.
The sharp takeaway is that the AI honeymoon is over for budget owners: once token usage stops feeling experimental, it starts getting measured like any other line item.
- –Uber is signaling that AI usage is moving from novelty to procurement discipline, which is where a lot of “tokenmaxxing” enthusiasm runs into finance.
- –This is less about one company’s spend and more about a broader shift from “try everything” to “prove ROI.”
- –Uber’s comments matter because the company sits at the intersection of consumer ops, autonomous driving, and platform-scale economics, so its cost posture tends to rhyme with what larger enterprises will do next.
- –The article is a reminder that AI adoption is not just a model quality story; it is also a unit-economics story.
DISCOVERED
4h ago
2026-05-26
PUBLISHED
20h ago
2026-05-25
RELEVANCE
AUTHOR
_____k