Vitalik Buterin believes Ethereum could become a core infrastructure layer for the future of AI not by competing with AI models, but by keeping them transparent, verifiable, and accountable.

In his latest remarks, Vitalik highlighted how Ethereum can help solve one of AI’s biggest problems: trust. As AI systems grow more powerful, it becomes harder to verify how decisions are made or whether outputs are manipulated. Ethereum’s on-chain logic, cryptographic proofs, and decentralized consensus can be used to audit AI outputs, verify training data claims, and ensure models follow predefined rules.

He also pointed to zero-knowledge proofs as a major bridge between AI and blockchain, allowing AI systems to prove results are correct without revealing sensitive data. This could be critical for AI use cases in finance, identity, governance, and privacy-focused applications.

Bottom line: Ethereum isn’t trying to “be AI.”

It’s positioning itself as the trust layer for AI…. where verification, coordination, and decentralization matter more than raw computation.