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

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

Journal of Economic Behavior & Organization, 2025, vol. 235, issue C

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.

Keywords: Generative AI technologies; Large language models; Automation and employment; Labor market implications of AI; Technological transition; Online labor markets (search for similar items in EconPapers)
JEL-codes: C J O (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:235:y:2025:i:c:s0167268124004591

DOI: 10.1016/j.jebo.2024.106845

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