Vitalik Buterin discussed the potential integration of Ethereum with artificial intelligence, emphasizing the need to pursue a positive path that prioritizes human freedom and security.
Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: https://t.co/ds9mLnrJWm
— vitalik.eth (@VitalikButerin) February 9, 2026
This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical… pic.twitter.com/pQq5kazT61
He envisions a future for AI where:
- human freedom and empowerment are supported. Two scenarios are to be avoided: one where everyone is "retired" due to AI, and another where government structures permanently strip the masses of power;
- the world does not face destruction—neither in the form of a "classic apocalypse" from superintelligent AI nor through more chaotic scenarios.
“In the long term, this could include seemingly crazy ideas like the digitization of human consciousness or merging with AI. These relate to those who want to keep pace with extremely intelligent entities capable of thinking millions of times faster on silicon,” Buterin noted.
In the near future, he refers to more "familiar" ideas that still require a profound rethinking compared to previous computing paradigms.
The developer outlined four areas he sees as collaborative developments with Ethereum.
Tools for Private Interaction with AI
Buterin believes it is essential to devise methods for trustless interaction with artificial intelligence. These include:
- local tools for LLM;
- ZK payments for API calls—allowing access to remote models without revealing identity from request to request;
- developing cryptographic methods to enhance AI privacy;
- verifying cryptographic proofs on the client side, TEE confirmations, and any other forms of server guarantees.
“These are the same types of things we could build for computations unrelated to LLM,” the developer remarked.
Ethereum as an Economic Layer for AI Interactions
In this category, Buterin includes:
- API calls;
- bots hiring other bots;
- insurance deposits, and eventually more complex constructs like on-chain dispute resolutions;
- ERC-8004 and ideas of AI reputation.
The goal is to provide neural networks with tools for economic interaction, making decentralized AI architectures viable.
Realizing the Cryptopunk Vision of the “Mountain Hermit”
This concept envisions creating an environment where everything is verifiable. Currently, this is impractical as people cannot physically analyze all the code. However, with LLM, this idea can become a reality.
Buterin categorized this as:
- interacting with Ethereum-based applications without relying on third-party interfaces;
- a local model that autonomously proposes transactions;
- another neural network verifying operations created by decentralized application interfaces;
- auditing smart contracts and assisting in interpreting the meaning of FV proofs;
- verifying trust models of applications and protocols.
Creating More Efficient Markets and Governance
Prediction markets and decision-making, decentralized governance, quadratic voting, combinatorial auctions, universal barter economies, and various constructs sound great in theory but are significantly hindered in practice by the limits of human attention and decision-making capacity, according to Buterin.
LLM eliminates this issue and exponentially scales human judgment, allowing people to revisit and rethink all these ideas.
“All of this is something Ethereum can help make a reality. The ideas also align with the spirit of d/acc: they enhance decentralized collaboration and improve protection. We can revisit the best ideas from 2014, add many new and refined ones, and with AI and ZK, we have a completely different set of tools to bring them to life,” Buterin concluded.
Recall that in February, the developer classified algorithmic stablecoins as "true" DeFi. He suggested that the industry gradually move away from dollar dependency in favor of a basket of indices.