OECD Social, Employment and Migration Working Papers

This series is designed to make available to a wider readership selected labour market, social policy and migration studies prepared for use within the OECD. Authorship is usually collective, but principal writers are named. The papers are generally available only in their original language - English or French - with a summary in the other.

English, French

The impact of AI on the workplace: Evidence from OECD case studies of AI implementation

How artificial intelligence (AI) will impact workplaces is a central question for the future of work, with potentially significant implications for jobs, productivity, and worker well-being. Yet, knowledge gaps remain in terms of how firms, workers, and worker representatives are adapting. This study addresses these gaps through a qualitative approach. It is based on nearly 100 case studies of the impacts of AI technologies on workplaces in the manufacturing and finance sectors of eight OECD countries. The study shows that, to date, job reorganisation appears more prevalent than job displacement, with automation prompting the reorientation of jobs towards tasks in which humans have a comparative advantage. Job quality improvements associated with AI – reductions in tedium, greater worker engagement, and improved physical safety – may be its strongest endorsement from a worker perspective. The study also highlights challenges – skill requirements and reports of increased work intensity – underscoring the need for policies to ensure that AI technologies benefit everyone.


JEL: J5: Labor and Demographic Economics / Labor-Management Relations, Trade Unions, and Collective Bargaining; J3: Labor and Demographic Economics / Wages, Compensation, and Labor Costs; J6: Labor and Demographic Economics / Mobility, Unemployment, Vacancies, and Immigrant Workers; J2: Labor and Demographic Economics / Demand and Supply of Labor
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