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Bubbling questions about the limits of the AI revolution
Manage episode 502204902 series 2640651
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.
For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or atplus.npr.org.
Email us at [email protected].
This episode was produced by Elena Burnett. It was edited by John Ketchum and Eric McDaniel. Our executive producer is Sami Yenigun.
Learn more about sponsor message choices: podcastchoices.com/adchoices
NPR Privacy Policy
1735 episodes
Manage episode 502204902 series 2640651
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.
For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or atplus.npr.org.
Email us at [email protected].
This episode was produced by Elena Burnett. It was edited by John Ketchum and Eric McDaniel. Our executive producer is Sami Yenigun.
Learn more about sponsor message choices: podcastchoices.com/adchoices
NPR Privacy Policy
1735 episodes
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