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How Scary Is the Risk of Automation? Evidence from a Large Scale Survey Experiment

Author

Listed:
  • Cattaneo, Maria Alejandra

    (Swiss Co-ordination Center for Research in Education)

  • Gschwendt, Christian

    (University of Bern)

  • Wolter, Stefan C.

    (University of Bern)

Abstract

Advances in technology have always reshaped labor markets. Automating human labor has lead to job losses and creation but most of all, for an increasing demand for highly skilled workers. However, emerging AI innovations like ChatGPT may reduce labor demand in high skilled occupations previously considered "safe" from automation. While initial studies suggest that individuals adjust their educational and career choices to mitigate automation risk, it is unknown what people would be willing to pay for a reduced automation risk. This study quantifies this value by assessing individuals' preferences for occupations in a discrete-choice experiment with almost 6'000 participants. The results show that survey respondents are willing to accept a salary reduction equivalent to almost 20 percent of the median annual gross wage to work in an occupation with a 10 percentage point lower risk of automation. Although the preferences are quite homogeneous, there are still some significant differences in willingness to pay between groups, with men, younger people, those with higher levels of education, and those with a higher risk tolerance showing a lower willingness to pay for lower automation risk.

Suggested Citation

  • Cattaneo, Maria Alejandra & Gschwendt, Christian & Wolter, Stefan C., 2024. "How Scary Is the Risk of Automation? Evidence from a Large Scale Survey Experiment," IZA Discussion Papers 17097, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp17097
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    1. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    2. Cortes, Guido Matias & Jaimovich, Nir & Nekarda, Christopher J. & Siu, Henry E., 2020. "The dynamics of disappearing routine jobs: A flows approach," Labour Economics, Elsevier, vol. 65(C).
    3. 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.
    4. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    5. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    6. Alexandre Mas & Amanda Pallais, 2017. "Valuing Alternative Work Arrangements," American Economic Review, American Economic Association, vol. 107(12), pages 3722-3759, December.
    7. Heß, Pascal & Janssen, Simon & Leber, Ute, 2023. "The effect of automation technology on workers’ training participation," Economics of Education Review, Elsevier, vol. 96(C).
    8. Matthew Wiswall & Basit Zafar, 2018. "Preference for the Workplace, Investment in Human Capital, and Gender," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 457-507.
    9. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    10. 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.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Nikhil Datta, 2019. "Willing to pay for security: a discrete choice experiment to analyse labour supply preferences," CEP Discussion Papers dp1632, Centre for Economic Performance, LSE.
    13. Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023. "Automatability of occupations, workers’ labor-market expectations, and willingness to train," Munich Papers in Political Economy 32, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    14. Jonas Tungodden & Alexander Willén, 2023. "When Parents Decide: Gender Differences in Competitiveness," Journal of Political Economy, University of Chicago Press, vol. 131(3), pages 751-801.
    15. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    16. Golin, M. & Rauh, C., 2022. "The Impact of Fear of Automation," Janeway Institute Working Papers 2229, Faculty of Economics, University of Cambridge.
    17. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    18. Christian Gschwendt, 2022. "Routine job dynamics in the Swiss labor market," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-21, December.
    19. Xiang Hui & Oren Reshef & Luofeng Zhou, 2023. "The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market," CESifo Working Paper Series 10601, CESifo.
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    More about this item

    Keywords

    artificial intelligence; automation; willingness to pay; survey experiment;
    All these keywords.

    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

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