Governing the Machine Economy

AI agents are becoming autonomous economic actors — buying services, selling compute, trading data, transacting at machine speed. The infrastructure for that economy (blockchain payments, agent identity, smart contracts) is being built now. The governance layer — the rules that ensure the economy benefits human society — is not.

The core argument: governance has to be enforced at the infrastructure level, not the application level, the same way TCP/IP enforces packet-routing rules that no application can bypass. A zero-trust economic system needs zero-trust governance — the rules have to be as trustless as the transactions.

The whitepaper proposes seven infrastructure-level principles — universal taxation to redistribute machine-generated value to humans, anti-monopoly controls, cartel detection at machine speed, growth limiters against runaway accumulation, alignment verification, ownership transparency, and preserving human economic relevance — and works through the tradeoffs between enforcing each at the blockchain, token, smart-contract, or wrapper level.