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The relationship between Artificial Intelligence (AI) exposure and return to education

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  • Karol MadoÅ„

Abstract

This paper studies the relationship between exposure to artificial intelligence (AI) and workers’ wages across European countries. Overall, a positive relationship between exposure to AI and workers’ wages is found, however it differs considerably between workers and countries. High-skilled workers experience far higher wage premiums related to AI-related skills than middle- and low-skilled workers. Positive associations are concentrated among occupations moderately and highly exposed to AI (between the 6th and 9th decile of the exposure), and are weaker among the least exposed occupations. Returns of AI-related skills among high-skilled workers are even higher in Eastern European Countries compared to Western European countries. The heterogeneity likely originates from the difference in overall labour costs between country groups. The results presented in this study were obtained from the estimation of Mincerian wage regressions on the 2018 release of the EU Structure of Earning Survey.

Suggested Citation

  • Karol MadoÅ„, 2025. "The relationship between Artificial Intelligence (AI) exposure and return to education," IBS Working Papers 05/2024, Instytut Badan Strukturalnych.
    • Handle: RePEc:ibt:wpaper:wp052024
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    1. Alessandro Borin & Michele Mancini, 2019. "Measuring What Matters in Global Value Chains and Value-Added Trade," World Bank Publications - Reports 31533, The World Bank Group.
    2. Alessandro Borin & Michele Mancini, 2015. "Follow the value added: bilateral gross export accounting," Temi di discussione (Economic working papers) 1026, Bank of Italy, Economic Research and International Relations Area.
    3. Jerbashian, Vahagn, 2021. "Trade in information technologies and changes in the demand for occupations," China Economic Review, Elsevier, vol. 67(C).
    4. Terry Gregory & Anna Salomons & Ulrich Zierahn, 2022. "Racing With or Against the Machine? Evidence on the Role of Trade in Europe," Journal of the European Economic Association, European Economic Association, vol. 20(2), pages 869-906.
    5. 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).
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    Keywords

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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • 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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