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Robotisation and Workforce Dynamics: Analysing Employment and Wage Effects within Manufacturing Establishments

Author

Listed:
  • Michael Otto

    (Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany)

  • Martin Abraham

    (Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany)

Abstract

This article explores the effects of increasing robot adoption on workforce composition, wages and wage inequality in the manufacturing sector. Using longitudinal data from the German Institute for Employment Research (IAB), industrial robot sales data and survey data from the IAB Establishment Panel, we examine the impact of robots on total employment and wage structures at the establishment level from 2008 to 2017. We find that while robotisation contributes to overall employment and wage growth, its effects vary across worker groups. High- and middle-skilled workers benefit more from employment and wage increases, whereas low-skilled and routine-intensive workers experience fewer gains. In contrast to skill-biased and task-biased technological change theories (SBTC and TBTC), robots do not significantly increase wage inequality within establishments. Instead, firms mitigate inequality, suggesting that organisational policies play a key role in shaping distributional outcomes. Works councils also influence wage dynamics, benefiting middle-skilled more than low-skilled workers.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:woemps:v:39:y:2025:i:6:p:1486-1512
    DOI: 10.1177/09500170251351260
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    References listed on IDEAS

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    1. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    2. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    3. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).
    4. Leete, Laura, 2000. "Wage equity and employee motivation in nonprofit and for-profit organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 43(4), pages 423-446, December.
    5. 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.
    6. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    7. Acemoglu, Daron & Koster, Hans & Ozgen, Ceren, 2023. "Robots and Workers: Evidence from the Netherlands," CEPR Discussion Papers 17993, Centre for Economic Policy Research.
    8. 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.
    9. Josten, Cecily & Lordan, Grace, 2019. "Robots at Work: Automatable and Non Automatable Jobs," IZA Discussion Papers 12520, IZA Network @ LISER.
    10. Jens Mohrenweiser & Christian Pfeifer, 2023. "Wage Structures, Fairness Perceptions, and Job Satisfaction: Evidence from Linked Employer-Employee Data," Journal of Happiness Studies, Springer, vol. 24(7), pages 2291-2308, October.
    11. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    12. Dengler, Katharina & Matthes, Britta, 2018. "The impacts of digital transformation on the labour market: Substitution potentials of occupations in Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 304-316.
    13. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    14. Frank, Robert H, 1984. "Are Workers Paid Their Marginal Products?," American Economic Review, American Economic Association, vol. 74(4), pages 549-571, September.
    15. Carlos J Gil-Hernández & Guillem Vidal & Sergio Torrejón Perez, 2024. "Technological Change, Tasks and Class Inequality in Europe," Work, Employment & Society, British Sociological Association, vol. 38(3), pages 826-851, June.
    16. Daron Acemoglu & Claire Lelarge & Pascual Restrepo, 2020. "Competing with Robots: Firm-Level Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 383-388, May.
    17. Barth, Erling & Roed, Marianne & Schone, Pal & Umblijs, Janis, 2020. "How Robots Change Within-Firm Wage Inequality," IZA Discussion Papers 13605, IZA Network @ LISER.
    18. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    19. de Vries, Gaaitzen J. & Gentile, Elisabetta & Miroudot, Sébastien & Wacker, Konstantin M., 2020. "The rise of robots and the fall of routine jobs," Labour Economics, Elsevier, vol. 66(C).
    20. Daron Acemoglu, 1999. "Changes in Unemployment and Wage Inequality: An Alternative Theory and Some Evidence," American Economic Review, American Economic Association, vol. 89(5), pages 1259-1278, December.
    21. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    22. William Bielby & Arne Kalleberg, 1981. "The structure of occupational inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 15(2), pages 125-150, April.
    23. Karim Bekhtiar & Benjamin Bittschi & Richard Sellner, 2024. "Robots at work? Pitfalls of industry‐level data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1180-1189, September.
    24. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
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    Cited by:

    1. Anna Matysiak & Linus Andersson & Wojciech Hardy, 2026. "Technological Change, Labour Markets and Family Behaviours in Sweden," Working Papers 2026-5, Faculty of Economic Sciences, University of Warsaw.

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