Chatter about an AI bubble has been all over the place these days, and prime 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 creator 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 may 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
Observe: 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 numerous us on the enterprise desk right here at WIRED have been tuning into tech firms earnings stories and their earnings calls. And I assume that mainly 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 pattern in how tech firms are sleeping on piles of cash, however they are not simply sleeping on it. They’re sharing huge plans to spend on it, and particularly to spend on AI infrastructure.
Michael Calore: Proper. Knowledge facilities.
Lauren Goode: Yeah, extra information facilities. Not simply information facilities, however sure, that is an enormous a part of it.
