IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v32y2023i3p370-392.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10438599.2021.1919517
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10438599.2021.1919517?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Marco Vivarelli, 2014. "Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of Economic Literature," Journal of Economic Issues, Taylor & Francis Journals, vol. 48(1), pages 123-154.
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    4. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555, Elsevier.
    5. Georg Graetz & Guy Michaels, 2017. "Is Modern Technology Responsible for Jobless Recoveries?," American Economic Review, American Economic Association, vol. 107(5), pages 168-173, May.
    6. repec:dau:papers:123456789/10093 is not listed on IDEAS
    7. Simon Janßen & Uschi Backes-Gellner, 2009. "Skill Obsolescence, Vintage Effects and Changing Tasks," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(1), pages 83-103.
    8. David H. Autor & Michael J. Handel, 2013. "Putting Tasks to the Test: Human Capital, Job Tasks, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 59-96.
    9. Andries de Grip & Hans Bosma & Dick Willems & Martin van Boxtel, 2008. "Job-worker mismatch and cognitive decline," Oxford Economic Papers, Oxford University Press, vol. 60(2), pages 237-253, April.
    10. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    11. Marco Vivarelli, 2015. "Innovation and employment," IZA World of Labor, Institute of Labor Economics (IZA), pages 154-154, May.
    12. Timothy Bresnahan & Pai-Ling Yin, 2017. "Adoption of New Information and Communications Technologies in the Workplace Today," Innovation Policy and the Economy, University of Chicago Press, vol. 17(1), pages 95-124.
    13. Eve Caroli & John Van Reenen, 2001. "Skill-Biased Organizational Change? Evidence from A Panel of British and French Establishments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1449-1492.
    14. Stephen Machin & John Van Reenen, 1998. "Technology and Changes in Skill Structure: Evidence from Seven OECD Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1215-1244.
    15. Loo,J,van & Grip,A.,de & Steur,M.,de, 2001. "Skills Obsolescence: Causes and Cures," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    16. Jim Allen & Andries de Grip, 2012. "Does skill obsolescence increase the risk of employment loss?," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3237-3245, September.
    17. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-284, April.
    18. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    19. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    20. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    21. Pellegrino, Gabriele & Piva, Mariacristina & Vivarelli, Marco, 2017. "Are Robots Stealing Our Jobs?," IZA Discussion Papers 10540, Institute of Labor Economics (IZA).
    22. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    23. Edward W. Felten & Manav Raj & Robert Seamans, 2018. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 54-57, May.
    24. Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2018. "Skills Mismatch: Concepts, Measurement And Policy Approaches," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 985-1015, September.
    25. Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, Institute of Labor Economics (IZA).
    26. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    27. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    3. 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.

    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. 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).
    2. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    3. Kerstin Hotte & Melline Somers & Angelos Theodorakopoulos, 2022. "Technology and jobs: A systematic literature review," Papers 2204.01296, arXiv.org.
    4. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    5. Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, Institute of Labor Economics (IZA).
    6. repec:hal:spmain:info:hdl:2441/13fti1jo4t8vjpe6ko3qrrv2nv is not listed on IDEAS
    7. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    8. Graetz, Georg, 2020. "Technological change and the Swedish labor market," Working Paper Series 2020:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    10. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    11. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    12. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    13. Getinet Haile & Ilina Srour & Marco Vivarelli, 2014. "Globalization and Technology Transfer in Ethiopia: Their Impact on Domestic Employment and Skills," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1498, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    14. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2016. "ELS issues in robotics and steps to consider them. Part 1: Robotics and employment. Consequences of robotics and technological change for the structure and level of employment," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 146501.
    15. Richard Duhautois & Christine Erhel & Mathilde Guergoat-Larivière & Malo Mofakhami & Monika Obersneider & Dominik Postels & José Ignacio Anton & Rafael Muñoz De Bustillo & Fernando Pinto, 2018. "The Employment and Job Quality Effects of Innovation in France, Germany and Spain: Evidence from Firm-Level Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02613444, HAL.
    16. Albanesi, Stefania & Da Silva, António Dias & Jimeno, Juan F. & Lamo, Ana & Wabitsch, Alena, 2023. "New technologies and jobs in Europe," Working Paper Series 2831, European Central Bank.
    17. Richard Duhautois & Christine Erhel & Mathilde Guergoat-Larivière & Malo Mofakhami & Monika Obersneider & Dominik Postels & José Ignacio Anton & Rafael Muñoz De Bustillo & Fernando Pinto, 2018. "The Employment and Job Quality Effects of Innovation in France, Germany and Spain: Evidence from Firm-Level Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02966011, HAL.
    18. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    19. Richard Duhautois & Christine Erhel & Mathilde Guergoat-Larivière & Malo Mofakhami & Monika Obersneider & Dominik Postels & José Ignacio Anton & Rafael Muñoz De Bustillo & Fernando Pinto, 2018. "The Employment and Job Quality Effects of Innovation in France, Germany and Spain: Evidence from Firm-Level Data," Working Papers hal-02613444, HAL.
    20. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    21. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.

    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

    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:taf:ecinnt:v:32:y:2023:i:3:p:370-392. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.