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Chatter about an AI bubble has been all over the place recently, and high tech firms like Google, Meta, and Microsoft have doubled down on their AI investments for 2026. However how have analysts previously 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 previously to grasp and brace for the worst.
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You’ll be able to observe 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
Be aware: That is an automatic transcript, which can comprise errors.
Michael Calore: Hey Lauren, how are you doing?
Lauren Goode: I am OK, Mike. It is earnings season, so lots of us on the enterprise desk right here at WIRED have been tuning into tech firms earnings experiences 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 kind of.
Lauren Goode: I throw it round at events. No, I actually do not. However we’re seeing a pattern in how tech firms are sleeping on piles of cash, however they don’t seem to be simply sleeping on it. They’re sharing massive plans to spend on it, and particularly to spend on AI infrastructure.
Michael Calore: Proper. Knowledge facilities.
Lauren Goode: Yeah, extra knowledge facilities. Not simply knowledge facilities, however sure, that is a giant a part of it.
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