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Automation, workers’ skills and job satisfaction

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  • Henrik Schwabe

    (TIK, University of Oslo)

  • Fulvio Castellacci

    (TIK, University of Oslo)

Abstract

When industrial robots are adopted by firms in a local labor market, some workers are displaced and become unemployed. Other workers that are not directly affected by automation may however fear that these new technologies might replace their working tasks in the future. This fear of a possible future replacement is important because it negatively affects workers’ job satisfaction at present. This paper studies the extent to which automation affects workers’ job satisfaction, and whether this effect differs for high- versus low-skilled workers. The empirical analysis uses microdata for several thousand workers in Norway from the Working Life Barometer survey for the period 2016-2019, combined with information on the introduction of industrial robots in Norway from the International Federation of Robotics. Our identification strategy exploits variation in the pace of introduction of industrial robots in Norwegian regions and industries since 2007 to instrument workers’ fear of replacement. The results indicate that automation in industrial firms in recent years have induced 40% of the workers that are currently in employment to fear that their work might be replaced by a smart machine in the future. Such fear of future replacement does negatively affect workers’ job satisfaction at present. This negative effect is stronger for low-skilled workers, which are those carrying out routine-based tasks, and who are therefore more exposed to the risks of automation.

Suggested Citation

  • Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," Working Papers on Innovation Studies 20200526, Centre for Technology, Innovation and Culture, University of Oslo.
  • Handle: RePEc:tik:inowpp:20200526
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    Cited by:

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    2. Nikolova, Milena & Cnossen, Femke & Nikolaev, Boris, 2024. "Robots, meaning, and self-determination," Research Policy, Elsevier, vol. 53(5).
    3. Fulvio Castellacci, 2023. "Innovation and social welfare: A new research agenda," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1156-1191, September.
    4. Anna Matysiak & Daniela Bellani & Honorata Bogusz, 2023. "Industrial Robots and Regional Fertility in European Countries," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-36, December.
    5. Gorny, Paul M. & Woodard, Ritchie C., 2020. "Don't Fear the Robots: Automatability and Job Satisfaction," MPRA Paper 103424, University Library of Munich, Germany.
    6. Sylvie Blasco, 2022. "Replaced or depressed? The effect of automation risk on workers' mental health," French Stata Users' Group Meetings 2022 09, Stata Users Group.
    7. Lordan, Grace & Stringer, Eliza-Jane, 2022. "People versus machines: The impact of being in an automatable job on Australian worker’s mental health and life satisfaction," Economics & Human Biology, Elsevier, vol. 46(C).
    8. Blasco, Sylvie & Rochut, Julie & Rouland, Benedicte, 2022. "Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health," IZA Discussion Papers 15434, Institute of Labor Economics (IZA).
    9. Abeliansky, Ana Lucia & Beulmann, Matthias & Prettner, Klaus, 2024. "Are they coming for us? Industrial robots and the mental health of workers," Research Policy, Elsevier, vol. 53(3).
    10. Grimm, Felix, 2024. "Digital Technologies, Job Quality and Employer-provided Training," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302402, Verein für Socialpolitik / German Economic Association.

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