IDEAS home Printed from https://ideas.repec.org/p/iso/educat/0209.html
   My bibliography  Save this paper

"This time it's different" Generative Artificial Intelligence and Occupational Choice

Author

Listed:
  • Daniel Goller
  • Christian Gschwendt
  • Stefan C. Wolter

Abstract

In this paper, we show the causal influence of the launch of generative AI in the form of ChatGPT on the search behavior of young people for apprenticeship vacancies. There is a strong and long-lasting decline in the intensity of searches for vacancies, which suggests great uncertainty among the affected cohort. Analyses based on the classification of occupations according to tasks, type of cognitive requirements, and the expected risk of automation to date show significant differences in the extent to which specific occupations are affected. Occupations with a high proportion of cognitive tasks, with high demands on language skills, and those whose automation risk had previously been assessed by experts as lower are significantly more affected by the decline. However, no differences can be found with regard to the proportion of routine vs. non-routine tasks.

Suggested Citation

  • Daniel Goller & Christian Gschwendt & Stefan C. Wolter, 2023. ""This time it's different" Generative Artificial Intelligence and Occupational Choice," Economics of Education Working Paper Series 0209, University of Zurich, Department of Business Administration (IBW).
  • Handle: RePEc:iso:educat:0209
    as

    Download full text from publisher

    File URL: http://repec.business.uzh.ch/RePEc/iso/leadinghouse/0209_lhwpaper.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    3. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    4. Filippo Pusterla & Ursula Renold, 2022. "Does ICT affect the demand for vocationally educated workers?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-22, December.
    5. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2023. "Generative AI at Work," Papers 2304.11771, arXiv.org.
    6. 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.
    7. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1245-1279.
    8. Daniel Goller & Stefan C. Wolter, 2021. "“Too shocked to search” The COVID-19 shutdowns’ impact on the search for apprenticeships," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 157(1), pages 1-15, December.
    9. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    10. Eggenberger, Christian & Janssen, Simon & Backes-Gellner, Uschi, 2022. "The value of specific skills under shock: High risks and high returns," Labour Economics, Elsevier, vol. 78(C).
    11. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    12. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Guido Matias Cortes, 2016. "Where Have the Middle-Wage Workers Gone? A Study of Polarization Using Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 63-105.
    3. Sari Kerr & Terhi Maczulskij & Mika Maliranta, 2020. "Within and between firm trends in job polarization: the roles of globalization and technology [The skill complementarity of broadband internet]," Journal of Economic Geography, Oxford University Press, vol. 20(4), pages 1003-1039.
    4. Hynninen, Sanna-Mari & Ojala, Jari & Pehkonen, Jaakko, 2013. "Technological change and wage premiums: Historical evidence from linked employer–employee data," Labour Economics, Elsevier, vol. 24(C), pages 1-11.
    5. Gravina, Antonio Francesco & Foster-McGregor, Neil, 2020. "Automation, globalisation and relative wages: An empirical analysis of winners and losers," MERIT Working Papers 2020-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Irene Iodice & Chiara Tomasi, 2016. "Skill upgrading and wage gap: a decomposition analysis for Italian manufacturing firms," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 201-232, August.
    7. Fonseca, Tiago & Lima, Francisco & Pereira, Sonia C., 2018. "Job polarization, technological change and routinization: Evidence for Portugal," Labour Economics, Elsevier, vol. 51(C), pages 317-339.
    8. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    9. Carlos Medina & Christian Posso, 2010. "Technical Change and Polarization of the Labor Market: Evidence for Brazil, Colombia and Mexico," Borradores de Economia 614, Banco de la Republica de Colombia.
    10. Dupuy, Arnaud & Marey, Philip S., 2008. "Shifts and twists in the relative productivity of skilled labor," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 718-735, June.
    11. Bruno Funchal & Jandir Soares Junior, 2013. "Understanding demand for skylls after technological trade liberalization," Fucape Working Papers 40, Fucape Business School.
    12. Anders Frederiksen & Odile Poulsen, 2016. "Income Inequality: The Consequences Of Skill-Upgrading When Firms Have Hierarchical Organizational Structures," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1224-1239, April.
    13. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    14. Holger M. Mueller & Paige P. Ouimet & Elena Simintzi, 2015. "Wage Inequality and Firm Growth," NBER Working Papers 20876, National Bureau of Economic Research, Inc.
    15. Raveh, Ohad & Reshef, Ariell, 2016. "Capital imports composition, complementarities, and the skill premium in developing countries," Journal of Development Economics, Elsevier, vol. 118(C), pages 183-206.
    16. Ariell Reshef, 2013. "Is Technological Change Biased Towards the Unskilled in Services? An Empirical Investigation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(2), pages 312-331, April.
    17. Eric D Gould, 2019. "Explaining the Unexplained: Residual Wage Inequality, Manufacturing Decline and Low-skilled Immigration," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1281-1326.
    18. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2021. "Is There Job Polarization in Developing Economies? A Review and Outlook," CESifo Working Paper Series 9444, CESifo.
    19. Holger M. Mueller & Paige P. Ouimet & Elena Simintzi, 2015. "Wage Inequality and Firm Growth," LIS Working papers 632, LIS Cross-National Data Center in Luxembourg.
    20. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).

    More about this item

    Keywords

    Artificial intelligence; occupational choice; labor supply; technological change;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iso:educat:0209. 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: Sara Brunner (email available below). General contact details of provider: https://edirc.repec.org/data/isuzhch.html .

    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.