About
Ole Teutloff is a PhD fellow and Guest Researcher at the Copenhagen Center for Social Data Science (SODAS), University of Copenhagen. His work bridges labor economics and data science to analyze technological disruptions in modern labor markets, with institutional affiliation to SODAS's interdisciplinary research environment in Copenhagen.
His research focuses on generative AI's socioeconomic impacts, skill valuation mechanisms, and geographical inequalities in remote work adoption. Key interests include freelancer market dynamics on digital platforms, economic consequences of skill complementarity, and spatial polarization of telecommuting opportunities across global regions.
Recent publications reveal emerging trends in AI-driven labor reallocation, quantifying how generative AI reshapes demand for freelance skills while exposing structural divides in remote work accessibility. His studies combine large-scale platform data with economic modeling to track evolving digital labor geographies.
Teutloff's research has generated substantial academic and public discourse, with collective attention spanning 35+ news outlets, policy documents, Wikipedia references, and social media engagement across X, Bluesky, and Reddit platforms, reflecting its relevance to contemporary workforce transformations.
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