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The impact of Artificial Intelligence on the labour market: What do we know so far?

Author

Listed:
  • Marguerita Lane
  • Anne Saint-Martin
Abstract
This literature review takes stock of what is known about the impact of artificial intelligence on the labour market, including the impact on employment and wages, how AI will transform jobs and skill needs, and the impact on the work environment. The purpose is to identify gaps in the evidence base and inform future OECD research on AI and the labour market.

Suggested Citation

  • Marguerita Lane & Anne Saint-Martin, 2021. "The impact of Artificial Intelligence on the labour market: What do we know so far?," OECD Social, Employment and Migration Working Papers 256, OECD Publishing.
    • Handle: RePEc:oec:elsaab:256-en
    DOI: 10.1787/7c895724-en
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    Citations

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    Cited by:

    1. Oscar Molina & Florian Butollo & Csaba Makó & Alejandro Godino & Ursula Holtgrewe & Anna Illsoe & Sander Junte & Trine Pernille Larsen & Miklós Illésy & Jószef Pap & Philip Wotschack, 2023. "It takes two to code: a comparative analysis of collective bargaining and artificial intelligence," Transfer: European Review of Labour and Research, , vol. 29(1), pages 87-104, February.
    2. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    3. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    4. Oschinski, Matthias, 2023. "Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis," MPRA Paper 118300, University Library of Munich, Germany.
    5. Stan Metcalfe, 2024. "Joseph Schumpeter, Alfred Marshall and the nature of restless capitalism," MIOIR Working Paper Series 2024-02, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    6. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Parteka, Aleksandra & Wolszczak-Derlacz, Joanna & Nikulin, Dagmara, 2024. "How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    8. Silvia Massini & Mabel Sanchez Barrioluengo & Xiaoxiao Yu & Reza Salehnejad, 2024. "Digital transformation in firms: determinants of technology adoption and implications for performance," MIOIR Working Paper Series 2024-01, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.

    More about this item

    Keywords

    AI; Artificial intelligence; Future of Work; Litterature review; Technology;
    All these keywords.

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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