Dario Amodei says AI could wipe out half of entry-level white-collar jobs.

In this episode, I test that claim against company surveys, layoff data, unemployment figures, and a first-principles framework for how jobs actually work.

The argument: most AI adoption still automates tasks, not whole roles, and much of the layoff narrative is better understood as post-pandemic restructuring wrapped in AI language.

The key question for any job is simple: what pain does it solve, and can AI solve that pain better, cheaper, and end-to-end?

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