Topic

Policy

Regulation, taxation, and public intervention in the AI economy.

Regulation is not a brake on innovation. It is the rules of the road that decide who gets to drive. The loudest calls for deregulation come from the firms that already have the largest models — the ladder pulled up behind them. Public policy on AI covers training-data consent, model audits, liability for automated decisions, taxation of compute, and the question of whether frontier models should be treated as private products or public infrastructure. We track every move on every front.

Columns (1)

  1. UBI as Hush Money

    Universal basic income, as pitched by Silicon Valley, is not a floor. It is a severance package for the working class. A column on the political economy of the billionaire's favourite welfare program.

Parallels (1)

  1. Then · 1933

    The New Deal forces capital to share with labour the productivity gains of electrification and the assembly line.

    Now · TBD

    Nothing. Gains from AI flow to seven companies and the funds that own them. There is no deal, new or old.

    Productivity without redistribution is not progress. It is theft at a higher clock speed.

Contradictions (1)

Claim
Regulation will slow progress.
Reality
The loudest voices calling for deregulation are the ones who already have the biggest models. The ladder is pulled up behind them.

Demands (2)

  1. 01

    A right to a human. Any decision that denies you a job, a loan, a home, or a diagnosis must be answerable by a named person on the other end.

  2. 02

    Open training data, public audits. Nothing trained in the dark deserves to decide anything in the light.

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