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Skills-displacing technological change and its impact on jobs: challenging technological alarmism?

Author

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  • Seamus McGuinness
  • Konstantinos Pouliakas
  • Paul Redmond

Abstract

We use data from a new international dataset – the European Skills and Jobs Survey – to create a unique measure of skills-displacing technological change (SDT), defined as technological change that may render workers’ skills obsolete. We find that 16 percent of adult workers in the EU are impacted by SDT, with significant variance across countries, ranging from a high of 28 percent in Estonia, to below seven percent in Bulgaria. Despite claims that technological change contributes to the deskilling of jobs, we present evidence that SDT is associated with dynamic upskilling of workers. The paper also presents the first direct micro-evidence, based on worker survey responses, of the reinstatement effect of automating technology, namely a positive contribution of automation to the task content and skills complexity of the jobs of incumbent workers. Despite the recent focus on the polarising impact of automation and associated reskilling needs of lower-skilled individuals, our evidence also draws attention to the fact that SDT predominantly affects higher-skilled workers, reinforcing inequalities in upskilling opportunities within workplaces. Workers affected by SDT also experience greater job insecurity.

Suggested Citation

  • Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2023. "Skills-displacing technological change and its impact on jobs: challenging technological alarmism?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(3), pages 370-392, April.
  • Handle: RePEc:taf:ecinnt:v:32:y:2023:i:3:p:370-392
    DOI: 10.1080/10438599.2021.1919517
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    Cited by:

    1. Laetitia Hauret & Ursula Holtgrewe & Sandra M. Leitner & Ludivine Martin, 2024. "Offshoring, technological change and the quality of work in the EU: On the mediating role of trade unions," wiiw Working Papers 258, The Vienna Institute for International Economic Studies, wiiw.
    2. Izabela Sobiech Pellegrini & Rafał Chmura & Jakub Sawulski & Tymoteusz Mętrak, 2025. "Can the improvements in human capital quality mitigate the negative impact of ageing on growth? Evidence from selected EU countries," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 33(2), pages 253-274, April.
    3. Sun, Hongye & Gao, Gongjing, 2025. "The impact of intelligent automation on subjective well-being and job satisfaction: A comparison between standard and nonstandard employment," China Economic Review, Elsevier, vol. 94(PB).
    4. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    5. Nuno Boavida & Marta Candeias, 2021. "Recent Automation Trends in Portugal: Implications on Industrial Productivity and Employment in Automotive Sector," Societies, MDPI, vol. 11(3), pages 1-16, August.
    6. Maria Cinque & Stephanie Carretero & Joanna Napierala, 2021. "Non-cognitive skills and other related concepts: towards a better understanding of similarities and differences," JRC Working Papers on Labour, Education and Technology 2021-09, Joint Research Centre.
    7. Wang, Wen & Han, Wang-Zhe, 2025. "Do industrial robots bring happiness? The moderating role of public trust," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 380-398.
    8. Fogarty, Timothy J. & Campbell, Cory, 2024. "The big data crossroads: Accounting education and the challenge of 21st century technology," Journal of Accounting Education, Elsevier, vol. 68(C).
    9. van der Meer, Peter Douwe & van Huizen, Thomas & Plantenga, Janneke, 2025. "‘No manner of hurt was found upon him’. The role of religiousness in the mental health effect of job insecurity," Social Science & Medicine, Elsevier, vol. 364(C).
    10. Saleh Ahmed Jalal Siam & Mubashshir Bin Mahbub, 2024. "Investigating User Perceptions Of Ai Technology And Its Ethical Implications On Employment Dynamics And Bias," Acta Informatica Malaysia (AIM), Zibeline International Publishing, vol. 8(1), pages 22-25, April.
    11. McGuinness, Seamus & Redmond, Paul & Pouliakas, Konstantinos & Kelly, Lorcan & Brosnan, Luke, 2025. "Technological Change and the Upskilling of European Workers," IZA Discussion Papers 17753, IZA Network @ LISER.
    12. Traverso, Silvio & Vatiero, Massimiliano & Zaninotto, Enrico, 2025. "The complementarity between automation and flexible labour contracts: firm-level evidence from Italy," Journal of Institutional Economics, Cambridge University Press, vol. 21, pages 1-1, January.
    13. Bughin, Jacques, 2025. "Corporate AI play and short term skill-biased AI change," Technology in Society, Elsevier, vol. 82(C).

    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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