Chatter about an AI bubble has been all over the place recently, and prime tech firms like Google, Meta, and Microsoft have doubled down on their AI investments for 2026. However how have analysts in the previous precisely recognized forming tech bubbles? Hosts Michael Calore and Lauren Goode sit down with Brian Service provider, WIRED contributor and writer of the e-newsletter Blood in the Machine, to break down the 4 standards some researchers have utilized in the previous to perceive and brace for the worst.
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Transcript
Be aware: This 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 loads of us on the enterprise desk right here at WIRED have been tuning into tech firms earnings experiences and their earnings calls. And I assume 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 are 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. 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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