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TechCheck+ AI’s trillion dollar time bomb 7/19/24

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Manage episode 429709560 series 2975155
Content provided by CNBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CNBC 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://ppacc.player.fm/legal.

There’s a time bomb ticking in the AI space: spending is too high, and returns are too low. Megacaps like Meta, Google and Amazon have seen capex spending surge as they throw cash at building out the infrastructure to stay ahead of the AI game. Microsoft in particular has spent billions at a premium valuation, and shelled out $13 billion investing in OpenAI while Apple was reportedly able to secure a partnership with the startup darling for free just 18 months later. That could be a warning for the broader AI space, as experts sound the alarm on the widening gap between what companies are spending on AI, and what they’re getting back from it.

  continue reading

617 episodes

Artwork
iconShare
 
Manage episode 429709560 series 2975155
Content provided by CNBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CNBC 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://ppacc.player.fm/legal.

There’s a time bomb ticking in the AI space: spending is too high, and returns are too low. Megacaps like Meta, Google and Amazon have seen capex spending surge as they throw cash at building out the infrastructure to stay ahead of the AI game. Microsoft in particular has spent billions at a premium valuation, and shelled out $13 billion investing in OpenAI while Apple was reportedly able to secure a partnership with the startup darling for free just 18 months later. That could be a warning for the broader AI space, as experts sound the alarm on the widening gap between what companies are spending on AI, and what they’re getting back from it.

  continue reading

617 episodes

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