Uber COO Andrew Macdonald says rising AI token costs are hard to justify after exhausting its 2026 Claude Code budget
Uber is slowing down hiring to offset the ballooning costs
Developer productivity is hard to manage.
Uber’s COO has said that it’s getting “harder to justify” its AI costs because there was no way to show a link between AI spend and any meaningful increase in useful features. This is the first time I’ve seen a company say this directly. https://www.businessinsider.com/uber-coo-andrew-macdonald-ai-token-spending-harder-justify-2026-5
If enough other companies report the same, the bubble pops. 🫧
@haydenfield my take: https://open.substack.com/pub/garymarcus/p/if-enough-other-companies-report?r=8tdk6&utm_medium=ios
Dare I say the AI money squeeze is and has been here? 👉 https://www.theverge.com/ai-artificial-intelligence/917380/ai-monetization-anthropic-openai-token-economics-revenue
MSFT cancelling Claude Code sub internally is most likely fake news, but companies having a hard time justifying AI spending is real. However, it's mostly a skill issue. AI turns a 10x engineer into a 100x one, but also turns an incompetent one into a coding slopping machine.
Only one interview from only one company COO (Uber), but hopefully companies will start waking up to the very well-known fact that incentivizing the potential input into something useful (consumer products), rather than the output, is a *very bad idea*.
