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Chatter about an AI bubble has been all over the place currently, and high tech corporations like Google, Meta, and Microsoft have doubled down on their AI investments for 2026. However how have analysts prior to now precisely recognized forming tech bubbles? Hosts Michael Calore and Lauren Goode sit down with Brian Service provider, WIRED contributor and writer of the publication Blood within the Machine, to interrupt down the 4 standards some researchers have used prior to now to grasp and brace for the worst.
Articles talked about within the episode:
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You may comply with Michael Calore on Bluesky at @snackfight and Lauren Goode on Bluesky at @laurengoode. Write to us at uncannyvalley@wired.com.
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Transcript
Word: That is an automatic transcript, which can include errors.
Michael Calore: Hey Lauren, how are you doing?
Lauren Goode: I am OK, Mike. It is earnings season, so a number of us on the enterprise desk right here at WIRED have been tuning into tech corporations earnings studies and their earnings calls. And I suppose that principally means it is CapEx season.
Michael Calore: CapEx?
Lauren Goode: Capital expenditures.
Michael Calore: You say CapEx?
Lauren Goode: Yeah. Now that I am a enterprise desk reporter, I say CapEx.
Michael Calore: You are a type of.
Lauren Goode: I throw it round at events. No, I actually do not. However we’re seeing a development in how tech corporations are sleeping on piles of cash, however they are not simply sleeping on it. They’re sharing large plans to spend on it, and particularly to spend on AI infrastructure.
Michael Calore: Proper. Information facilities.
Lauren Goode: Yeah, extra knowledge facilities. Not simply knowledge facilities, however sure, that is an enormous a part of it.
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