IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v235y2025ics0167268124004591.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268124004591
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2024.106845?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Generative AI technologies; Large language models; Automation and employment; Labor market implications of AI; Technological transition; Online labor markets;
    All these keywords.

    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

    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:eee:jeborg:v:235:y:2025:i:c:s0167268124004591. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.