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Occupational change, artificial intelligence and the geography of EU labour markets

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  • Sybrand Brekelmans
  • Georgios Petropoulos

Abstract

We study the nature and geography of occupational change in 24 European Union countries from 2002 to 2016. We evaluate how the composition of skills in the labour force depends on new technologies enabled by artificial intelligence and machine learning, and on institutional variables including educational attainment, labour legislation and product market regulations. We find that on average, EU countries have been through an upgrading of the skills of their...

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  • Sybrand Brekelmans & Georgios Petropoulos, 2020. "Occupational change, artificial intelligence and the geography of EU labour markets," Working Papers 37146, Bruegel.
    • Handle: RePEc:bre:wpaper:37146
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    Cited by:

    1. Giuntella, Osea & König, Johannes & Stella, Luca, 2023. "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers 16485, Institute of Labor Economics (IZA).
    2. Osea Giuntella & Johannes König & Luca Stella, 2023. "Artificial Intelligence and Workers’ Well-being," SOEPpapers on Multidisciplinary Panel Data Research 1194, DIW Berlin, The German Socio-Economic Panel (SOEP).

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