"If you read any of WIRED's recent AI edition, you know that lots of people are spending lots of time talking about how the technology is revolutionizing pretty much everything-from coding to writing to accounting. You've also probably heard by now, from us or somebody else, that we might very well be in an economic bubble of AI origin, one wherein the billions and billions of dollars being funneled into the industry is creating an untenable economic scenario that could turn catastrophic."
"I'm still not sick, though, of asking other people about it-especially when they're much smarter about this stuff than I am. Enter Joe Weisenthal, the cohost of Bloomberg's fantastic Odd Lots podcast, and a former coworker of mine. Trust me: As someone who spent a year listening to Joe lose his mind in the office-loudly!-anytime the economy hiccuped, few people think more about our country's, and our planet's, financial circumstances than Joe does."
"And right now, Joe's concerns aren't strictly about what happens if or when that AI bubble bursts. His worries are more focused on what's going right and wrong with the US economy writ large. For this week's episode of The Big Interview, Joe and I talked about weird market indicators, US competition with China, and whether or not we should all prepare for an AI economic apocalypse. This interview has been edited for length and clarity."
AI investment and adoption are deeply entwined with the US economy's future, shaping finance and many industries beyond headline billion-dollar deals. Massive capital inflows raise the possibility of an AI-origin economic bubble that could create untenable outcomes. Expert perspectives remain valuable despite widespread fatigue about repetitive AI questioning. Joe Weisenthal focuses on broader economic signals, including unusual market indicators and strategic competition with China, rather than only on a potential bubble. The conversation weighs whether an AI-driven economic collapse is plausible and frames AI as both a major opportunity and a systemic risk.
Read at WIRED
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