Manufacturing's collapse offers a grim playbook for AI's white-collar disruption

Rust Belt towns lost their jobs decades ago and never recovered. Office workers now face an identical trap from AI

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Manufacturing's decline didn't arrive as a single event. It came in waves, separated by stretches of false recovery, and the communities hit hardest never fully came back. Now, as AI-driven displacement begins to reach white-collar knowledge workers, the manufacturing collapse is the closest historical template available.

U.S. manufacturing employment peaked at 19.6 million in June 1979, the Bureau of Labor Statistics found. By December 2009, that figure had fallen to 11.5 million. The drop wasn't gradual. It happened in five distinct collapses, each tied to a recession, and after every one, employment never climbed back to where it stood before.

The question is whether anyone will learn from previous events before AI has the same effect on white-collar workers.

The decades-long collapse no one wanted to call permanent

The decline didn't begin with a single factory closing or a single trade deal. The Federal Reserve Bank of Minneapolis argued that the Rust Belt's erosion started as early as the 1950s, when dominant industries faced so little competition that they had no incentive to innovate. The visible crisis arrived in the 1980s. Manufacturing employment fell 7% from the start of the decade to the end.

For years, the response was to treat the losses as temporary. Manufacturing had bounced back from every recession since World War II, and policy makers, business leaders, and economists assumed this pattern would hold. Barry Bluestone and Bennett Harrison........

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