Your Plumber Is Safer Than Your Lawyer
AI is disrupting white-collar cognitive work before blue-collar trades, inverting the pattern of every prior automation wave. A three-layer framework explains why economists disagree and who faces displacement first.

Everyone is arguing about whether AI will take jobs. They are all correct, and they are all wrong, because they are arguing about different layers of the same labour market. A new framework explains why the debate is broken and who actually gets hurt first.
The Disagreement Is a Feature, Not a Bug
On April 3, 2026, the New York Times published a headline that would have been unthinkable two years ago: "Economists Once Dismissed the A.I. Job Threat, but Not Anymore" (Source: New York Times). The same week, Brookings cautioned that "research on AI and the labor market is still in the first inning" (Source: Brookings Institution). Anthropic released internal data showing early signals of measurable displacement in high-exposure roles (Source: Anthropic). Microsoft's AI chief predicted all white-collar work would be automated within 18 months (Source: Fortune).
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