Vitalik Buterin suggests using personal AI agents to improve decentralized governance. He argues that limited human attention concentrates power in DAOs, as token holders delegate voting due to lack of time or expertise. AI agents, trained on individual preferences, could automate routine voting and escalate complex issues. Buterin also proposes “suggestion markets” using tokenized proposals and prediction markets to financially reward valuable input. Privacy-preserving technologies are crucial for sensitive information. This approach aims to scale governance beyond simple voting by enabling continuous, preference-driven participation, potentially transforming online communities and even public institutions.
Personal AI Could Replace Delegates In Crypto Governance, Says Ethereum Co-Founder
