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

Author: Teutloff, Ole; Einsiedler, Johanna; Kassi, Otto; Braesemann, Fabian; Mishkin, Pamela; del Rio-Chanona, R. Maria

Description: 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.

Subject headings: Generative AI technologies; Large language models; Automation and employment; Labor market implications of AI; Technological transition; Online labor markets; Artificial intelligence

Publication year: 2025

Journal or book title: Journal of Economic Behavior & Organization

Volume: 235

Pages: 106845

Find the full text: https://www.sciencedirect.com/science/article/pii/S0167268124004591

Find more like this one (cited by): https://scholar.google.com/scholar?cites=8861928649172557298&as_sdt=1000005&sciodt=0,16&hl=en

Serial number: 4179

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