A new cs.AI paper examines governance structures around AI agent protocols, comparing DAO-style and corporate approaches. The authors introduce an LLM-powered pipeline for large-scale discourse analysis.

The topic matters because agent interoperability standards are not purely technical. Governance determines who can change protocols, resolve disputes, and set norms as agent ecosystems become more important.

The paper is part of a broader effort to use AI tools to study the institutions forming around AI infrastructure itself.