Three hours saved is the beginning of the question
Self-reported time savings reveal where workers perceive value, but they do not show whether the freed capacity became more output, better quality, shorter hours, or simply more work. Each outcome has different economic and human consequences.
Employers need before-and-after measures tied to completed work, errors, rework, service quality, and worker wellbeing. Aggregate claims should reflect the half of workers not reporting both use and savings.
Adoption gaps can become productivity gaps
Younger and university-educated workers report higher use, while lack of relevance, interest, accuracy, employer provision, and training hold others back. The divide is not solved by making tools available without redesigning tasks and support.
A productivity strategy should pair access with training, worker participation, and evidence about which tasks genuinely improve. Otherwise the gains concentrate among the people and firms already best positioned to capture them.
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European Central Bank — AI adoption and the productivity promise
