Institutional capacity

Commercial capture of academic AI research produces aligned-with-industry capacity; firewalling restores critical distance from which genuine critique and alternative research programmes emerge.

Frontier lab workforce is small, specialised, hard to replace; collective refusal binds lab behaviour more than external regulation because replacement is unavailable on the relevant timeframe.

Sovereigns accept binding constraints they negotiate directly faster than those delegated to agencies; the historical base rate for durable restraint is treaty based.

Civil liability is shareholder-absorbed; criminal exposure for named individuals reorients corporate safety practice where civil fines do not.

Institutional capacity is the binding constraint; without it no technical success prevents misuse, capture, or concentration.

Markets update faster than regulators and have skin in the game; mandatory catastrophic coverage makes reinsurance the de facto safety regulator.

AI risk is inherently cross-border so national regulation is leaky by construction, and only a dedicated international body with inspection rights can bind the risk surface.

Courts plus insurance markets produce better risk allocation than agencies, by pricing uncertainty and adapting to new technologies through precedent.

Frontier AI has natural monopoly characteristics (scale, network effects, capital intensity); rate-of-return regulation removes the profit incentive for speed racing.

The field does not yet know enough about AI to choose a strategy well, so accelerating the science accelerates eventual policy.

Labs know more about what safety requires than regulators, and self-binding commitments capture that expertise without legislative lag.