IDEAS home Printed from https://ideas.repec.org/p/ibt/wpaper/wp052024.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ibs.org.pl/wp-content/uploads/2025/03/Madon_the_relationship_between_AI_exposure_and_return_to_education.pdf
    File Function: English Version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jerry Hausman, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    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. 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.
    4. Sahling, Leonard G & Smith, Sharon P, 1983. "Regional Wage Differentials: Has the South Risen Again?," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 131-135, February.
    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).
    6. repec:bla:scandj:v:92:y:1990:i:2:p:215-35 is not listed on IDEAS
    7. 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.
    8. Jerbashian, Vahagn, 2021. "Trade in information technologies and changes in the demand for occupations," China Economic Review, Elsevier, vol. 67(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jan Frankowski & Joanna Mazurkiewicz & Sona Stará & Aleksandra Prusak & Wojciech Bełch & Michal Nesládek & Tomáš Vácha & Krzysztof Niedziałkowski, 2025. "Between efficiency and democracy: Explaining support and resistance towards energy transition and prosumer solutions in Polish and Czech housing cooperatives," IBS Working Papers 05/2025, Instytut Badan Strukturalnych.
    2. Nenci, Silvia & Fusacchia, Ilaria & Giunta, Anna & Montalbano, Pierluigi & Pietrobelli, Carlo, . "Mapping global value chain participation and positioning in agriculture and food: stylised facts, empirical evidence and critical issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(2).
    3. Richard Baldwin & Rebecca Freeman & Angelos Theodorakopoulos, 2022. "Horses for courses: measuring foreign supply chain exposure," Bank of England working papers 996, Bank of England.
    4. Coniglio, Nicola D. & Vurchio, Davide & Cantore, Nicola & Clara, Michele, 2021. "On the evolution of comparative advantage: Path-dependent versus path-defying changes," Journal of International Economics, Elsevier, vol. 133(C).
    5. Rita Cappariello & Michele Mancini, 2019. "US trade policy in numbers: how exposed is the EU?," Questioni di Economia e Finanza (Occasional Papers) 528, Bank of Italy, Economic Research and International Relations Area.
    6. Luśtyk Agata & Połeć Anna & Voznyuk Inna, 2024. "Wage Differences in Poland at the County Level and their Determinants," Central European Economic Journal, Sciendo, vol. 11(58), pages 1-14.
    7. Montalbano, Pierluigi & Nenci, Silvia, 2022. "Does global value chain participation and positioning in the agriculture and food sectors affect economic performance? A global assessment," Food Policy, Elsevier, vol. 108(C).
    8. Belotti,Federico & Borin,Alessandro & Mancini,Michele, 2020. "icio : Economic Analysis with Inter-Country Input-Output Tables in Stata," Policy Research Working Paper Series 9156, The World Bank.
    9. Simona Giglioli & Giorgia Giovannetti & Enrico Marvasi & Arianna Vivoli, 2021. "The Resilience of Global Value Chains during the Covid-19 pandemic: the case of Italy," Working Papers - Economics wp2021_07.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    10. Cooray, Arusha, 2011. "The role of the government in financial sector development," Economic Modelling, Elsevier, vol. 28(3), pages 928-938, May.
    11. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    12. Christopher Dick-Sagoe & Ernest Ngeh Tingum & Peter Asare-Nuamah & Denis N. Yuni & Nicholas Baidoo, 2025. "Central transfers and incentives to collect local revenue among the Central Region of Ghana’s local government officials: analysing the flypaper effect," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    13. Thomas A. Garrett & Russell S. Sobel, 2004. "State Lottery Revenue: The Importance of Game Characteristics," Public Finance Review, , vol. 32(3), pages 313-330, May.
    14. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    15. Giuseppe Croce & Emanuela Ghignoni, 2011. "Overeducation and spatial flexibility in Italian local labour markets," Working Papers in Public Economics 145, Department of Economics and Law, Sapienza University of Roma.
    16. Meghamrita Chakraborty, 2023. "Linking Migration, Diversity and Regional Development in India," Journal of Development Policy and Practice, , vol. 8(1), pages 55-72, January.
    17. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    18. Machado, Matilde P., 2001. "Dollars and performance: treating alcohol misuse in Maine," Journal of Health Economics, Elsevier, vol. 20(4), pages 639-666, July.
    19. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    20. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibt:wpaper:wp052024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IBS (email available below). General contact details of provider: https://edirc.repec.org/data/ibswapl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.