🤖 AI Summary
This study investigates the impact of generative AI—exemplified by ChatGPT—on online freelance labor markets in the post-pandemic era. Leveraging 1.8 million job postings and 3.8 million user behavioral records from a major freelance platform, we employ natural language processing, skill-tag extraction, and econometric modeling to conduct the first large-scale empirical analysis of generative AI adoption in such settings. Results reveal a structural reconfiguration of labor demand: demand for advanced skills—including programming and AI tool integration—has risen significantly, while routine writing tasks have declined. Worker behavior exhibits “AI augmentation” rather than “AI replacement”: freelancers actively integrate AI tools to enhance output efficiency and service complexity. The findings elucidate the mechanism through which technology adoption drives structural labor market transformation and provide critical empirical evidence for understanding emerging human–AI collaborative work paradigms.
📝 Abstract
Since the COVID-19 pandemic, freelancing platforms have experienced significant growth in both worker registrations and job postings. However, the rise of generative AI (GenAI) technologies has raised questions about how it affect the job posting in freelancer market. Despite growing discussions, there is limited empirical research on the GenAI adoption and its effect on job demand and worker engagement. We present a large-scale analysis of Freelancer.com, utilizing over 1.8 million job posts and 3.8 million users. We investigate the emergence of jobs with the adoption of GenAI and identify leading position of ChatGPT in the freelancing market. With a focus on ChatGPT related jobs, we inspect their specific skill requirements, and the tasks that workers are asked to perform. Our findings provide insights into the evolving landscape of freelancing in the age of AI, offering a comprehensive profile of GenAI's effects on employment, skills, and user behaviors in freelancing market.