IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v107y2025i1p125-141.html

What Happens to Workers at Firms that Automate?

Author

Listed:
  • James Bessen

    (Boston University)

  • Maarten Goos

    (Utrecht University and Tilburg University)

  • Anna Salomons

    (Utrecht University and Tilburg University)

  • Wiljan van den Berge

    (Utrecht University)

Abstract

We estimate the impact of firm-level automation on individual worker outcomes by combining Dutch microdata with a direct measure of automation expenditures covering all private nonfinancial sector firms. Using a novel difference-in-differences event-study design leveraging lumpy investment, we find that automation increases the probability of incumbent workers separating from their employers. Workers experience a five-year cumulative wage income loss of 9% of one year’s earnings, driven by decreases in days worked. These adverse impacts of automation are larger in smaller firms, and for older and middle-educated workers. By contrast, no such losses are found for firms’ investments in computers.

Suggested Citation

  • James Bessen & Maarten Goos & Anna Salomons & Wiljan van den Berge, 2025. "What Happens to Workers at Firms that Automate?," The Review of Economics and Statistics, MIT Press, vol. 107(1), pages 125-141, January.
  • Handle: RePEc:tpr:restat:v:107:y:2025:i:1:p:125-141
    DOI: 10.1162/rest_a_01284
    as

    Download full text from publisher

    File URL: https://doi.org/10.1162/rest_a_01284
    Download Restriction: Access to PDF is restricted to subscribers.

    File URL: https://libkey.io/10.1162/rest_a_01284?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

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Chen, Xiaoxiao & Yang, Jiayi & Wu, Bo, 2025. "How is artificial intelligence shaping the labor demand of firms? ——evidence from text-mining analysis of listed companies," Telecommunications Policy, Elsevier, vol. 49(10).
    2. Andreas Stöckl & Olaf Struck, 2025. "Continuous vocational education and training and new technologies: on the importance of educational level and technology in the workplace," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 59(1), pages 1-21, December.
    3. Dabed, Diego & Genz, Sabrina & Rademakers, Emilie, 2025. "Equalising the effects of automation? The role of task overlap for job finding," Labour Economics, Elsevier, vol. 96(C).
    4. Holtmann, Svea & Braun, Anna-Sophie & Cho, Jae & Koch, Reinald & Langenmayr, Dominika, 2025. "Investment effects of a quasi-robot tax: Evidence from South Korea," arqus Discussion Papers in Quantitative Tax Research 308, arqus - Arbeitskreis Quantitative Steuerlehre.
    5. Lee, Seungil & Park, Jungsoo, 2026. "Impact of digital transformation technology adoption on worker wages," Research Policy, Elsevier, vol. 55(2).
    6. Xienan Cheng & Mustafa Dogan & Pinar Yildirim, 2025. "Artificial Intelligence in Team Dynamics: Who Gets Replaced and Why?," Papers 2506.12337, arXiv.org, revised May 2026.
    7. Chun, Hyunbae & Shin, Donghan, 2025. "Beyond automation: The multifaceted impact of advanced digital technologies on employment dynamics," Research Policy, Elsevier, vol. 54(10).
    8. Michael Otto & Martin Abraham, 2025. "Robotisation and Workforce Dynamics: Analysing Employment and Wage Effects within Manufacturing Establishments," Work, Employment & Society, British Sociological Association, vol. 39(6), pages 1486-1512, December.
    9. Lipowski, Cäcilia & Salomons, Anna & Zierahn-Weilage, Ulrich, 2024. "Expertise at work: New technologies, new skills, and worker impacts," ZEW Discussion Papers 24-044, ZEW - Leibniz Centre for European Economic Research.
    10. Muehlemann, Samuel, 2025. "Artificial intelligence adoption and workplace training," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
    11. Muffert, Johanna & Winkler, Erwin, 2025. "Using Machine Learning to Understand the Heterogeneous Earnings Effects of Exports," IZA Discussion Papers 17667, IZA Network @ LISER.
    12. Gallen, Trevor & Kim, Soojin, 2025. "Automation and heterogeneous earnings dynamics," Economics Letters, Elsevier, vol. 255(C).
    13. gert Bijnens & Joep Konings & Aaron Putseys, 2025. "Unveiling the J-curve: How Intangibles Drive Productivity Mismeasurement," Working Papers of VIVES - Research Centre for Regional Economics 779815, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    14. Jozef Konings & Aaron Putseys, 2026. "The impact of on-the-job training subsidies on firm-level outcomes: evidence from Flemish SMEs," Small Business Economics, Springer, vol. 66(3), pages 977-1003, March.
    15. Meghana Ayyagari & Vojislav Maksimovic & Rodimiro Rodrigo & Ariel Weinberger, 2026. "Automation Under Constraints: Exchange Rates Interest Rates and Investment," CESifo Working Paper Series 12526, CESifo.
    16. Jiang, Li & Li, Bin & Zhang, Min, 2025. "The impact of digital transformation on the efficiency of corporate resource allocation: Internal mechanisms and external environment," Technological Forecasting and Social Change, Elsevier, vol. 215(C).

    More about this item

    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:tpr:restat:v:107:y:2025:i:1:p:125-141. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: The MIT Press (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.