Tomasz Stańczak's proposal shapes a new horizon for Ethereum.
The former co-director of the Ethereum Foundation is promoting an AI-assisted governance model that seeks to redefine how the network is developed and coordinated. His initiative, shared through X, proposes incorporate autonomous agents and advanced language models directly in the decision-making and maintenance processes of the blockchain protocol.
The goal of the proposed integration, according to Stańczak, is to establish a intelligent operability standard This would allow for the automation of key tasks, from drafting proposals to generating complete code. In their view, integrating artificial intelligence would not only optimize the network's technical efficiency but also pave the way for more agile and adaptable governance within the blockchain ecosystem.
If this proposal were implemented, Ethereum could become the first major blockchain where artificial intelligence actively participates in the evolution of the protocol, driving a stage of collaboration between machines and developers that would transform the dynamics of decentralized innovation.
Buy Ethereum on Bit2Me todayMachines in Ethereum's new governance layer
Stańczak argues that LLMs can bring significant efficiency gains to the Ethereum ecosystem, by Automate key tasks such as writing, reviewing, and editing Improvement Proposals (IPPs), moderating technical meetings, and evaluating network upgrades..
In a thread posted on X, he detailed a five-step plan that, in practice, would function as a new operating standard. According to his proposal, blockchain validators would delegate the acceptance or rejection of improvement proposals submitted to the network to autonomous agents. Furthermore, EIP authors would use artificial intelligence to draft these EIPs, editors would review them with the support of advanced models, developer or All Core Dev calls would be moderated in real time by intelligent assistants, and client software teams would generate automated codebases from the technical specifications.
Stańczak himself compared the possibility of automating the network with AI to the historical advantage of being the first major blockchain to migrate from Proof of Work to Proof of Stake, noting that becoming the first blockchain powered by LLM This would represent a true milestone for Ethereum in the competition for AI-based governance.
In his view, the Ethereum network has a privileged position, as it has a complete technical specification, a public and accessible registry of developer calls, along with a transparent governance process that constitutes an ideal database for training and integrating AI models.
To date, the Ethereum Foundation has made progress in this direction, incorporating tool coordinators and creating a specialized AI team to prepare the ground and transform the network into a pioneer of the so-called "machine economy".
Access Ethereum today: create your accountTomasz Stańczak's legacy on Ethereum
The formulation of a new standard focused on artificial intelligence (AI) marks a stage of change within the Ethereum Foundation. Stańczak confirmed who will step down as co-executive director of the Foundation at the end of this month, a decision that comes less than a year after the restructuring of the leadership team. Bastian Aue will assume the role on an interim basis alongside Hsiao-Wei Wang, while the organization continues to focus on improving network scalability, strengthening institutional adoption, and advancing research projects related to decentralized AI and post-quantum security.
Stańczak expressed satisfaction with the progress made on the Ethereum roadmap, highlighting a more agile decision-making process and a clearer vision of its role as a long-term financial and verification infrastructure.
Key leaders in the ecosystem, such as Vitalik Buterin and Danny Ryan, acknowledge that their work provided renewed momentum and sparked a profound debate about how artificial intelligence can strengthen blockchain systems. This work is reflected today in the new plan to standardize the use of intelligent agents and language models within blockchain governance.
Finally, Stańczak noted that the integration of AI into critical processes will be gradual, although he considers it essential to establish a framework now that allows Ethereum to leverage its expertise in transparency and documentation. If this agenda materializes, the combination of a mature blockchain infrastructure with AI-based tools could transform how regulations governing public networks are designed and implemented globally.
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