AI Agents Take Aim at Governance Concentration

Ethereum co-founder Vitalik Buterin has proposed using personal AI agents to vote on behalf of users in decentralized governance systems. This approach could reduce the concentration of power among delegates and address one of the core structural limits of DAOs, or Decentralized Autonomous Organizations.

The main barrier to effective decentralized decision-making is not voter participation but human attention, Buterin argued. With thousands of proposals spanning multiple technical and economic domains, most token holders lack the time or expertise to evaluate each issue, leading them to delegate their voting power to a small group of active participants.

Buterin suggested personal large language models trained on an individual's preferences, writings, and past decisions could automatically vote on routine matters while escalating only high-importance or ambiguous proposals for direct input. This system would allow governance to scale without transferring long-term control to professional delegates.