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Aidan Toner-Rodgers

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Hello! I'm a second-year PhD student in Economics at MIT. Previously, I worked at the New York Fed after graduating from Macalester College. My research focuses on the economics of science and innovation, using tools from IO, game theory, and labor. If you're interested in discussing research ideas or just want to chat, please reach out! This paper studies the impact of artificial intelligence on innovation, exploiting the randomized introduction of a new materials discovery technology to 1,018 scientists in the R&D lab of a large U.S. firm. AI-assisted researchers discover 44% more materials, resulting in a 39% increase in patent filings and a 17% rise in downstream product innovation. These compounds possess more novel chemical structures and lead to more radical inventions. However, the technology has strikingly disparate effects across the productivity distribution: while the bottom third of scientists see little benefit, the output of top researchers nearly doubles. Investigating

Hello! I'm a second-year PhD student in Economics at MIT. Previously, I worked at the New York Fed after graduating from Macalester College. My research focuses on the economics of science and innovation, using tools from IO, game theory, and labor. If you're interested in discussing research ideas or just want to chat, please reach out! This paper studies the impact of artificial intelligence on innovation, exploiting the randomized introduction of a new materials discovery technology to 1,018 scientists in the R&D lab of a large U.S. firm. AI-assisted researchers discover 44% more materials,

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