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Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand

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  • Teutloff, Ole
  • Einsiedler, Johanna
  • Kässi, Otto
  • Braesemann, Fabian
  • Mishkin, Pamela
  • del Rio-Chanona, R. Maria

Abstract

We examine how ChatGPT has changed the demand for freelancers in jobs where generative AI tools can act as substitutes or complements to human labor. Using BERTopic we partition job postings from a leading online freelancing platform into 116 fine-grained skill clusters and with GPT-4o we classify them as substitutable, complementary or unaffected by LLMs. Our analysis reveals that labor demand increased after the launch of ChatGPT, but only in skill clusters that were complementary to or unaffected by the AI tool. In contrast, demand for substitutable skills, such as writing and translation, decreased by 20–50% relative to the counterfactual trend, with the sharpest decline observed for short-term (1-3 week) jobs. Within complementary skill clusters, the results are mixed: demand for machine learning programming grew by 24%, and demand for AI-powered chatbot development nearly tripled, while demand for novice workers declined in general. This result suggests a shift toward more specialized expertise for freelancers rather than uniform growth across all complementary areas.

Suggested Citation

  • Teutloff, Ole & Einsiedler, Johanna & Kässi, Otto & Braesemann, Fabian & Mishkin, Pamela & del Rio-Chanona, R. Maria, 2025. "Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand," Journal of Economic Behavior & Organization, Elsevier, vol. 235(C).
  • Handle: RePEc:eee:jeborg:v:235:y:2025:i:c:s0167268124004591
    DOI: 10.1016/j.jebo.2024.106845
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    as
    1. MacKinnon, James G. & Webb, Matthew D., 2020. "Randomization inference for difference-in-differences with few treated clusters," Journal of Econometrics, Elsevier, vol. 218(2), pages 435-450.
    2. Neffke, Frank & Nedelkoska, Ljubica & Wiederhold, Simon, 2024. "Skill mismatch and the costs of job displacement," Research Policy, Elsevier, vol. 53(2).
    3. Stefania Albanesi & António Dias da Silva & Juan F Jimeno & Ana Lamo & Alena Wabitsch, 2025. "New technologies and jobs in Europe," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 71-139.
    4. Bloom, Nicholas & Davis, Steven J. & Hansen, Stephen & Lambert, Peter John & Sadun, Raffaella & Taska, Bledi, 2023. "Remote work across jobs, companies and space," LSE Research Online Documents on Economics 121302, London School of Economics and Political Science, LSE Library.
    5. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    6. Peter Klimek & Ricardo Hausmann & Stefan Thurner, 2012. "Empirical Confirmation of Creative Destruction from World Trade Data," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
    7. Kässi, Otto & Lehdonvirta, Vili, 2018. "Online labour index: Measuring the online gig economy for policy and research," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 241-248.
    8. David Autor, 2024. "Applying AI to Rebuild Middle Class Jobs," NBER Working Papers 32140, National Bureau of Economic Research, Inc.
    9. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    10. Elliott Ash & Stephen Hansen, 2023. "Text Algorithms in Economics," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 659-688, September.
    11. Duch-Brown, Néstor & Gomez-Herrera, Estrella & Mueller-Langer, Frank & Tolan, Songül, 2022. "Market power and artificial intelligence work on online labour markets," Research Policy, Elsevier, vol. 51(3).
    12. Stephany, Fabian & Teutloff, Ole, 2024. "What is the price of a skill? The value of complementarity," Research Policy, Elsevier, vol. 53(1).
    13. Arindrajit Dube & Jeff Jacobs & Suresh Naidu & Siddharth Suri, 2020. "Monopsony in Online Labor Markets," American Economic Review: Insights, American Economic Association, vol. 2(1), pages 33-46, March.
    14. 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.
    15. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "Reprint of The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(8).
    16. Steven J. Davis & R. Jason Faberman & John C. Haltiwanger, 2013. "The Establishment-Level Behavior of Vacancies and Hiring," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 581-622.
    17. Gerard Hoberg & Gordon Phillips, 2016. "Text-Based Network Industries and Endogenous Product Differentiation," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1423-1465.
    18. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(3).
    19. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    20. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    21. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    22. Adams-Prassl, Abi & Balgova, Maria & Qian, Matthias, 2020. "Flexible Work Arrangements in Low Wage Jobs: Evidence from Job Vacancy Data," IZA Discussion Papers 13691, Institute of Labor Economics (IZA).
    23. John J. Horton, 2021. "The Ruble Collapse in an Online Marketplace: Some Lessons for Market Designers," NBER Working Papers 28702, National Bureau of Economic Research, Inc.
    24. Frank Neffke & Martin Henning, 2013. "Skill relatedness and firm diversification," Strategic Management Journal, Wiley Blackwell, vol. 34(3), pages 297-316, March.
    25. 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.
    26. John Horton, 2021. "The Ruble Collapse in an Online Marketplace: Some Lessons for Market Designers," Papers 2104.06170, arXiv.org.
    27. Fabian Braesemann & Fabian Stephany & Ole Teutloff & Otto Kässi & Mark Graham & Vili Lehdonvirta, 2022. "The global polarisation of remote work," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-22, October.
    28. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    29. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    30. Adams-Prassl, Abigail & Balgova, Maria & Qian, Matthias, 2020. "Flexible Work Arrangements in Low Wage Jobs: Evidence from Job Vacancy Data," CEPR Discussion Papers 15263, C.E.P.R. Discussion Papers.
    31. Retkowsky, Jana & Hafermalz, Ella & Huysman, Marleen, 2024. "Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects," Business Horizons, Elsevier, vol. 67(5), pages 511-523.
    32. Barnichon, Regis, 2010. "Building a composite Help-Wanted Index," Economics Letters, Elsevier, vol. 109(3), pages 175-178, December.
    33. 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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    Cited by:

    1. Anais Galdin & Jesse Silbert, 2025. "Making Talk Cheap: Generative AI and Labor Market Signaling," Papers 2511.08785, arXiv.org.
    2. Teutloff Ole & Braesemann Fabian, 2025. "Resilienz statt Reskilling: Wie KI den Arbeitsmarkt verändert und wie wir darauf reagieren müssen," Wirtschaftsdienst, Sciendo, vol. 105(10), pages 715-719.

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    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C - Mathematical and Quantitative Methods
    • J - Labor and Demographic Economics
    • J - Labor and Demographic Economics
    • J - Labor and Demographic Economics
    • O - Economic Development, Innovation, Technological Change, and Growth

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