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The Growth Lab's Research Seminar series is a weekly seminar that brings together researchers from across the academic spectrum who share an interest in growth and development. 

Speaker:Kunal Handa, Research Scientist at Anthropic

Abstract:

Despite widespread speculation about artificial intelligence's impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used for different tasks. Here, we present a novel framework for measuring AI usage patterns across the economy. We leverage a recent privacy-preserving system to analyze over four million this http URL conversations through the lens of tasks and occupations in the U.S. Department of Labor's O*NET Database. Our analysis reveals that AI usage primarily concentrates in software development and writing tasks, which together account for nearly half of all total usage. However, usage of AI extends more broadly across the economy, with approximately 36% of occupations using AI for at least a quarter of their associated tasks.

Speaker Bio:

Kunal Handa is a Research Scientist at Anthropic where he focuses on understanding and improving the societal impact of AI systems. His research explores the fundamentals of learning in both humans and machines, particularly how to build collaborative AI tools grounded in human communication principles. Previously, Kunal was a graduate student at the University of Oxford and an undergraduate student at Brown University studying linguistics and computer science.