AI systems are consuming the world's content without compensating its creators. This session explores data streaming as a new paradigm — where content flows to AI in real time, with built-in rights management, usage tracking, and fair compensation — and asks what it would take to make this infrastructure decentralized, sovereign, and governed by the communities it serves.

In this talk we explore why the dominant “Network State” model is narrowing the design space for networked sovereignty — and introduce Network Nations as a democratic, commons-grounded alternative built on three practical mechanisms: functional sovereignty, commons governance, and entanglement — so distributed communities can actually sustain themselves, steward shared resources, and govern across distance.