Centralization Threatens AI Commons

[tradelikepro]

Over 60% of global AI development is concentrated in California, highlighting political, economic, and geographic centralization.

This concentration allows high-energy data centers and corporate AI projects to externalize environmental and social costs, often misaligned with local and global public interests.

Network states and decentralized communities can distribute AI governance, allowing citizens to co-create rules, propose safeguards, and transform AI into a commons-oriented infrastructure.

[EmTeam]

Centralizing AI in one region creates risks—decentralized governance could balance things out.

[Nahid Hossen]

Turning AI into a commons with shared oversight feels like the healthier long-term path.