Bubbling questions about the limits of the AI revolution : Consider This from NPR
2025-08-24 18:08:33
英文原文
作者：August 24, 20252:08 PM ET
OpenAI founder Sam Altman floated the idea of an AI bubble, an MIT report found that 95% of generative AI pilots at companies are failing and tech stocks took a dip.
With the AI sector is expected to become a trillion dollar industry within the next decade, what impact might slowing progress have on the economy? NPR’s Scott Detrow speaks with Cal Newport, a contributing writer for the New Yorker, and a computer science professor at Georgetown, about the limitations of the AI revolution.
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This episode was produced by Elena Burnett. It was edited by John Ketchum and Eric McDaniel. Our executive producer is Sami Yenigun.
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摘要
Questions are being raised about the potential limits of the AI revolution as OpenAI founder Sam Altman suggests an AI bubble, an MIT report indicates that 95% of generative AI pilots at companies are failing, and tech stocks are declining. NPR's Scott Detrow discusses these limitations with Cal Newport, a contributing writer for The New Yorker and a computer science professor at Georgetown University.