Editor’s note: After this episode aired, MIT issued a statement raising concerns about the integrity of Aidan Toner-Rodgers's working paper “Artificial Intelligence, Scientific Discovery, and Product Innovation,” and recommending that the paper be withdrawn. The open-access research repository arXiv, where the paper was originally posted, has removed it from its archive, citing “concerns about the validity of the data and incomplete Institutional Review Board requirements.” The Atlantic reached out to Toner-Rodgers for comment but has so far not received a response.

Amid handwringing about AI’s effect on jobs, creativity, trust, and the environment, a new study shows the technology’s profound impact on scientific productivity. Aidan Toner-Rodgers, a Ph.D. candidate at MIT, recounts his research that shows the benefits and drawbacks of using AI to discover new scientific materials.

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