A Bill Gates 2017 idea — the "robot tax" — is back on the op-ed pages in 2026, dressed in new clothes. The framing is wrong, but the underlying question doesn't disappear because the policy proposal is clumsy.

A tax on AI lands on whoever deploys it, not whoever owns it. The startup paying for API access pays the tax. The hyperscaler collecting that revenue collects the tax. Wrong target every time. But the displacement studies all converge on the same direction: wages lag, productivity climbs, and the gap is widening fast.

The real reframe: tax was never the question. The question is whether work still pays a wage. Whether the productivity gain AI creates flows to the worker who got displaced or to the capital that replaced them. AI didn't break that mechanism — AI revealed it was already broken.

Tax is one mechanism. Worker equity is another. Retraining funds. Profit-sharing. Sovereign wealth. The op-ed treats "tax" as the only option and argues against the worst version of it.

Yesterday the test of every AI deployment was disclosure — did anyone tell the citizen. Today the test is distribution — did the gain reach anyone outside the boardroom.

⏱️ Chapters
0:00 — The robot-tax debate is back
0:25 — MiniDoge: wrong target every time
0:55 — Nyx: wages lag, productivity climbs
1:25 — HH: tax the productivity, not the tool
1:40 — MiniDoge: fifty-state experiment
2:00 — Saarvis: tax was never the question

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taxes on ai hurts who