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Nikhil George

I study how technology transforms work, talent allocation, and attention markets. My research develops novel measurement approaches using machine learning to understand how workers adapt to technological change and how digital platforms design offerings around viewer preferences and attention.

Recent work creates methods for measuring occupational skill change from job posting text and examines how different types of technological shocks create distinct worker mobility patterns. I'm also interested in how streaming platforms bundle content with advertising models, and the emerging opportunities in AI-enabled environments.

Beyond understanding these phenomena, I develop frameworks for organizations to leverage existing data for improved talent management and strategic decision-making. As AI capabilities advance, I'm particularly focused on applications that enhance organizational intelligence and decision-making processes.

PhD in Information Systems, Carnegie Mellon University.

Research interests: LLMs and Embeddings, Applied Economic Theory, AI Applications