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Are Artificial Intelligence (AI) Skills a Reward or a Gamble? Deconstructing the AI Wage Premium in Europe

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  • Pouliakas, Konstantinos

    (European Centre for the Development of Vocational Training (Cedefop))

  • Santangelo, Giulia

    (European Centre for the Development of Vocational Training (Cedefop))

Abstract

Understanding the labour market impact of new, autonomous digital technologies, particularly generative or other forms of artificial intelligence (AI), is currently at the top of the research and policy agenda. Many initial studies, though not all, have shown that there is a wage premium to AI skills in labour markets. Such evidence tends to draw on data from web-based sources and typically deploys a keyword approach for identifying AI skills. This paper utilises representative adult workforce data from 29 European countries, the second European skills and jobs survey, to examine wage differentials of the AI developer workforce. The latter is uniquely identified as part of the workforce that writes programs using AI algorithms. The analysis shows that, on average, AI developers enjoy a significant wage premium relative to a comparably educated or skilled workforce, such as programmers who do not yet write code using AI at work. Wage decomposition analysis further illustrates that there is a large unexplained component of such wage differential. Part of AI programmers' larger wage variability can be attributed to a greater performance-based component in their wage schedules and higher job-skill requirements.

Suggested Citation

  • Pouliakas, Konstantinos & Santangelo, Giulia, 2025. "Are Artificial Intelligence (AI) Skills a Reward or a Gamble? Deconstructing the AI Wage Premium in Europe," IZA Discussion Papers 17607, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp17607
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Ratio Working Papers 370, The Ratio Institute.
    3. Adrjan, Pawel & Lydon, Reamonn, 2019. "Clicks and jobs: measuring labour market tightness using online data," Economic Letters 6/EL/19, Central Bank of Ireland.
    4. Hugo Ñopo, 2008. "Matching as a Tool to Decompose Wage Gaps," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 290-299, May.
    5. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    6. Paola Tubaro & Antonio A. Casilli & Marion Coville, 2020. "The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence," Post-Print hal-02554196, HAL.
    7. Duch-Brown, Néstor & Gomez-Herrera, Estrella & Mueller-Langer, Frank & Tolan, Songül, 2022. "Market power and artificial intelligence work on online labour markets," Research Policy, Elsevier, vol. 51(3).
    8. Stephany, Fabian & Teutloff, Ole, 2024. "What is the price of a skill? The value of complementarity," Research Policy, Elsevier, vol. 53(1).
    9. Fabio Manca, 2023. "Six questions about the demand for artificial intelligence skills in labour markets," OECD Social, Employment and Migration Working Papers 286, OECD Publishing.
    10. Andrew Green & Lucas Lamby, 2023. "The supply, demand and characteristics of the AI workforce across OECD countries," OECD Social, Employment and Migration Working Papers 287, OECD Publishing.
    11. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
    12. Andrew Green, 2024. "Artificial intelligence and the changing demand for skills in the labour market," OECD Artificial Intelligence Papers 14, OECD Publishing.
    13. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    14. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    16. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    17. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    18. George Psacharopoulos, 2024. "Returns to education: a brief history and an assessment," Education Economics, Taylor & Francis Journals, vol. 32(5), pages 561-565, September.
    19. Alexandre Georgieff, 2024. "Artificial intelligence and wage inequality," OECD Artificial Intelligence Papers 13, OECD Publishing.
    20. Pouliakas, Konstantinos, 2018. "Determinants of Automation Risk in the EU Labour Market: A Skills-Needs Approach," IZA Discussion Papers 11829, Institute of Labor Economics (IZA).
    21. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2024. "Two neglected origins of inequality: hierarchical power and care work," LEM Papers Series 2024/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    22. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    23. Marguerita Lane & Morgan Williams & Stijn Broecke, 2023. "The impact of AI on the workplace: Main findings from the OECD AI surveys of employers and workers," OECD Social, Employment and Migration Working Papers 288, OECD Publishing.
    24. Fana, Marta & Giangregorio, Luca, 2024. "The role of tasks, contractual arrangements, and job composition in explaining the dynamics of wage inequality: Evidence from France," Labour Economics, Elsevier, vol. 87(C).
    25. Flavio Calvino & Luca Fontanelli, 2023. "A portrait of AI adopters across countries: Firm characteristics, assets’ complementarities and productivity," OECD Science, Technology and Industry Working Papers 2023/02, OECD Publishing.
    26. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
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    More about this item

    Keywords

    wage differentials; skills; artificial intelligence; performance-based pay;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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