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Is the AI bubble about to burst?
Manage episode 520984935 series 69473
Content provided by New Economics Podcast and New Economics Foundation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Economics Podcast and New Economics Foundation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
It’s a new technology that everyone’s desperate to get a piece of. CEOs say it’s going to change how we work, access information, and even relate to each other. Investors are showering companies with money - even when they aren’t turning a profit. You might think this is the story of artificial intelligence. But it’s actually what happened during the dotcom bubble, back in the late nineties. When the frenzy of investment ended, the bubble burst. Companies went bust and trillions of dollars of investment capital evaporated. Today, AI companies are raising over a trillion dollars in investment, with very little revenue to show for it. Is the dotcom bubble a vision of our future? Has the AI hype outpaced its profits? And if the bubble bursts - what does it mean for the rest of us? This week Ayeisha Thomas-Smith is joined by Eleanor Shearer, senior research fellow at Common Wealth and Carsten Jung, interim associate director for economic policy and AI at the Institute for Public Policy Research. Follow our Instagram: www.instagram.com/neweconomicspod/ Follow our Tiktok: www.tiktok.com/@neweconomicspod Produced by Katrina Gaffney and Margaret Welsh. The New Economics Podcast is brought to you by the New Economics Foundation. Find out more about becoming a NEF supporter at: neweconomics.org/donate/build-a-better-future New Economics Foundation is a registered charity in England and Wales. Charity No. 1055254
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252 episodes
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Manage episode 520984935 series 69473
Content provided by New Economics Podcast and New Economics Foundation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Economics Podcast and New Economics Foundation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
It’s a new technology that everyone’s desperate to get a piece of. CEOs say it’s going to change how we work, access information, and even relate to each other. Investors are showering companies with money - even when they aren’t turning a profit. You might think this is the story of artificial intelligence. But it’s actually what happened during the dotcom bubble, back in the late nineties. When the frenzy of investment ended, the bubble burst. Companies went bust and trillions of dollars of investment capital evaporated. Today, AI companies are raising over a trillion dollars in investment, with very little revenue to show for it. Is the dotcom bubble a vision of our future? Has the AI hype outpaced its profits? And if the bubble bursts - what does it mean for the rest of us? This week Ayeisha Thomas-Smith is joined by Eleanor Shearer, senior research fellow at Common Wealth and Carsten Jung, interim associate director for economic policy and AI at the Institute for Public Policy Research. Follow our Instagram: www.instagram.com/neweconomicspod/ Follow our Tiktok: www.tiktok.com/@neweconomicspod Produced by Katrina Gaffney and Margaret Welsh. The New Economics Podcast is brought to you by the New Economics Foundation. Find out more about becoming a NEF supporter at: neweconomics.org/donate/build-a-better-future New Economics Foundation is a registered charity in England and Wales. Charity No. 1055254
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Similar to New Economics Podcast
Join Larry Mantle weekdays for lively and in-depth discussions of Los Angeles and Southern California news, politics, science, entertainment, the arts and more. More AirTalk at www.kpcc.org.
…
continue reading
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…
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…
continue reading
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…
continue reading
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continue reading
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continue reading
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