AI Spending Ends Engineering's Exemption From Productivity Metrics
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Companies are now measuring engineering productivity in AI token spend, and the bills are large: Uber used up its entire 2026 AI token budget in four months, Salesforce's Anthropic bill reportedly runs about $300 million a year, and Meta recorded over 60 trillion tokens in one month on an internal leaderboard ranking roughly 85,000 employees. The article argues this spending has ended engineering's long exemption from hard productivity measurement. It also notes that no single metric has proven reliable. DORA and SPACE frameworks show no one measure works, and Faros data on 22,000 developers found bugs per developer up 54% and incidents per pull request up 242.7%.
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- Hacker News · AIEngineering Fought Productivity Metrics. AI Ended the Fight
Uber exhausted its entire 2026 AI token budget in four months, Salesforce's Anthropic bill reportedly runs around $300 million a year, and Meta logged over 60 trillion tokens in a single month on an internal leaderboard ranking roughly 85,000 employees. The article argues AI spending has ended engineering's exemption from hard productivity measurement, while DORA and SPACE show no single metric works: Faros data from 22,000 developers found bugs per developer up 54% and incidents per pull request up 242.7%.
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