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About

Erik Brynjolfsson is a leading economist and technology scholar whose research sits at the intersection of artificial intelligence, digital transformation, and firm-level productivity. Based at Stanford University, Brynjolfsson has become one of the foremost voices examining how AI and advanced technologies are reshaping the economy, labor markets, and business strategy. His most influential contribution is his co-authorship of "On the Opportunities and Risks of Foundation Models" (2021), which introduced the now-widely adopted term "foundation models" to describe large-scale AI systems like GPT-3 and DALL-E — a paper that has already garnered over 2,177 citations, reflecting its immediate and profound influence on AI research discourse. His empirical work on AI adoption, drawing on Census Bureau data from nearly 850,000 U.S. firms, has illuminated which industries, regions, and firm types are leading or lagging in AI integration, offering critical insights for policymakers and business leaders alike. Brynjolfsson has also contributed to landmark institutional efforts, including Stanford's One Hundred Year Study on AI and the AI Index Annual Report, helping establish rigorous frameworks for tracking AI's societal impact over time. His research on robot deployment patterns further reveals deep geographic and structural inequalities in automation investment across American manufacturing. Across his career, Brynjolfsson has consistently translated complex technological phenomena into actionable economic understanding.