Vitalik Buterin said AI helped create Ethereum’s 2030 roadmap in just 2 weeks, rather than years.Vitalik Buterin said AI helped create Ethereum’s 2030 roadmap in just 2 weeks, rather than years.

Vitalik Buterin embraces possibility of AI speeding up Ethereum’s 2030 roadmap

2026/03/01 18:16
4 min read

Vitalik Buterin, the founder of Ethereum, said AI assisted them in creating the 2030 roadmap in just two weeks, a process that would normally take years. On X, he called the experiment “impressive,” noting that the technology speeds up coding.

However, he cautioned that anything built within such a short period, without the Ethereum Improvement Proposals (EIPs), could have shortcomings, with some features existing only as incomplete stubs. Even with the mistakes, he said, the real takeaway should be in the AI trend itself. 

Buterin’s remarks, though, come at a time when Ethereum (ETH) is roughly 60% below its 2025 high, with some analysts warning the asset could plummet to a level below the crucial $2,000 support this month.

Buterin says AI speeds things up

Buterin explained in his post that he experimented with agentic coding on his blog software and completed it in only an hour, stressing that the best way to use AI is to balance its benefits, accelerating development while enhancing security through test-case generation, formal verification, and multiple implementations. 

He also claimed that AI can help with formal verification and generate far more test cases. AI, he said, also speeds up coding, but it doesn’t eliminate the need to fix bugs and inconsistencies. But he expects that the Ethereum 2030 roadmap will be completed much faster with artificial intelligence, because those challenges can now be tackled more quickly.

He remarked, “People should be open to the possibility (not certainty! possibility) that the Ethereum roadmap will finish much faster than people expect, at a much higher standard of security than people expect.”

Buterin also contended that there is still the prospect of error-free software, something most people once saw as an unrealistic dream. He also emphasized that that type of software would be critical for trustless systems, though total security cannot exist because it would mean your code perfectly mirrors all the information in your mind.

Ethereum plans account abstraction in Hegota upgrade

Meanwhile, Buterin also shared on Saturday that Ethereum would implement account abstraction in the Hegota upgrade within a year, recalling that the concept dated back to discussions in 2016. He explained that EIP-8141 is an all-encompassing proposal designed to resolve the remaining issues with account abstraction, with deployment scheduled for this year.

Additionally, he asserted they’ve been working on the project for over a decade, thus making implementation within a year realistic. He also assured the community that the core framework is deliberately simple and broadly functional and will be centered on frame transactions. That means smart accounts will work by separating signature approval and transaction execution into two frames. 

He also pointed out that users could settle gas fees in other tokens through paymaster contracts or automated decentralized exchanges. 

The Ethereum founder added, “Intermediary minimization is a core principle of non-ugly cypherpunk Ethereum: maximize what you can do even if all the world’s infrastructure except the Ethereum chain itself goes down.”

He also highlighted that privacy-focused platforms like Railgun and Tornado Cash could replace public broadcasters, which he described as a major source of user experience friction. Additionally, he noted that the new framework could be applied to existing Ethereum accounts, enabling them to perform batch transactions and support sponsored fees.

In another Thursday post, Buterin also outlined a roadmap to make Ethereum more resistant to quantum threats, highlighting four major focus areas: validator signatures, data storage, account signatures, and zero-knowledge proofs. He said he expects to observe gradual decreases in slot and finality times in the longer-term scaling plans.

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