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Martin Fleming is a Research Scientist at the Massachusetts Institute of Technology, where his work focuses on the economics of artificial intelligence, automation, and labor markets.
Martin's research examines the intersection of technology and economic productivity, with emphasis on understanding when and how AI systems can cost-effectively automate work tasks. His notable contributions include developing frameworks to assess the economic viability of AI automation and analyzing the conditions under which partial automation emerges as optimal compared to full automation.
Martin bringing practical experience to his academic research. Before joining MIT, he held senior positions in industry, including as IBM’s Chief Economist.
His work bridges computer science and economics, providing quantitative frameworks for understanding AI's impact on productivity, employment, and firm decision-making. Martin holds a Ph.D. in economics from Tufts University.
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