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What A.I. Is Actually Doing to the Economy

Explore episode Jul 27, 2026
History
The China Shock: What Fast Disruption Actually Looks Like

What A.I. Is Actually Doing to the Economy · Jul 27, 2026 History

When trade opened with China in the early 2000s, furniture manufacturing towns like Hickory, NC lost tens of thousands of jobs in months. Workers couldn't move because no one would buy their houses. Entire communities collapsed, bringing addiction, poverty, and political grievance in their wake. That's the template for what rapid AI disruption could look like.

Where this was said

Case Study 1: The Internet Revolution — A Gradual Disruption

At 21:10 · chapter starts 16:20

Castleman takes us back to the 1990s — dial-up, AOL, the early World Wide Web — as the closest historical parallel to the AI moment. It was an era when the internet was clearly going to be a big deal but nobody quite knew how. What the internet ultimately did to jobs is instructive: it wiped out entire occupational categories. Typing pools vanished when word processors became software rather than job titles. Travel agents became largely obsolete when Orbitz and Expedia appeared. Bank branches lost massive numbers of tellers. But none of this felt like a crisis because it happened gradually and spread across the whole economy. Workers later in their careers had time to retire; younger workers had time to redirect. The message Castleman draws: 'You had time to pivot.' That gradualness, not the internet's supposed job creation, is the real reason the 1990s technology revolution is remembered as a boom rather than a disaster.

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