Buterin envisions Ethereum performing significantly more tasks without requiring every network computer to duplicate calculations.
By Shaurya MalwaSep 27, 2026, 10:29 a.m. EDT4 min readMake preferred on ShareShare this articleCopy linkX (Twitter)LinkedInFacebookEmailMake preferred on Vitalik Buterin (CoinDesk Archives)SummaryShow- Vitalik Buterin, co-founder of Ethereum, envisions a 2030 network that incorporates cryptographic proofs and off-chain computing to handle more transactions without requiring all participants to repeat calculations.
- This new system aims to allow users to verify results more efficiently while enhancing the privacy of payments, balances, and wallet activities.
- Buterin anticipates that Ethereum's transition will accelerate following the upcoming Hegotá upgrade, although developers still need to make proofs less expensive and ensure secure coordination for parallel tasks.
On Sunday, Ethereum co-founder Vitalik Buterin shared his vision for the network in 2030, which may still be referred to as a blockchain, yet it will function quite differently from the current iteration.
In a post titled “The cryptographic world computer,” Buterin outlined a system that merges blockchain technology with cryptographic proofs and external computer networks. His 2030 vision aims to enhance both Ethereum’s capabilities and what users can independently verify.
Currently, Ethereum enables users to send funds, trade tokens, and borrow through applications governed by shared protocols. The challenge lies in scaling these applications to accommodate more users without escalating costs or complicating verification processes.
At present, a fully validating computer on Ethereum must replicate the calculations associated with each transaction. It verifies, for example, that a sender has sufficient funds and that an application adheres to its stipulated rules.
This redundancy across multiple computers helps maintain network integrity; however, it restricts Ethereum's ability to accommodate more transactions since each computer is engaged in verifying much of the same information.
Buterin posits that advanced cryptographic methods can alleviate this limitation.
Computers could process transactions and generate a concise mathematical proof that confirms compliance with the rules. Other computers could then verify this proof much more rapidly than they could re-do all the initial calculations. Random spot checks would ensure transaction records remain accessible for verification by anyone interested.
This approach would enable various computers to handle distinct tasks while still validating each other's outputs.
Buterin noted that Ethereum’s developers had aimed to distribute workloads in this manner over a decade ago but faced challenges in ensuring that each participant fulfilled their responsibilities correctly. He stated, “Back then, this was not viable for one primary reason: the missing ingredient was verification.”
A lightweight wallet would independently verify the calculations. (Shaurya Malwa/CoinDesk)Rationale for these changes
The current Ethereum setup requires computers to redundantly check that transactions comply with rules, which preserves network integrity but limits the benefits of adding more computational power.
Previous attempts to segment workloads assigned specific tasks to smaller groups, but coordinating these groups often led to delays, and the broader network could falter if one group failed.
Buterin argues that employing mathematical proofs can circumvent these issues. A computer executing a task could offer proof of rule adherence, allowing others to validate its output without redoing the entire computation.
This would enable computers to tackle different tasks concurrently, thereby increasing Ethereum’s overall capacity and facilitating independent verifications.
Nonetheless, Ethereum would still need to address order-sensitive issues, such as determining which of two transactions utilizing the same funds occurred first. Buterin suggested that much of the work related to these transactions could be done in advance, with proofs combined to minimize the data recorded on the blockchain.
Moreover, his privacy initiatives also address the information users disclose simply through wallet interactions.
Verifying a balance often involves querying an external server, which can reveal which accounts a user follows, even if the transaction details remain private. Buterin envisions concealing these queries alongside payment information and the rules governing account spending approvals.
This would enable businesses to maintain confidentiality in their transactions without exposing their accounts whenever an employee checks a balance.
Importance of privacy
Other developers in the cryptocurrency space are pursuing similar objectives.
Zcash currently allows users to conduct transactions using encrypted addresses and amounts. As of Friday, approximately 4.9 million ZEC were held in its shielded pools, according to previous CoinDesk analysis of ZecStats data, while the token was trading at around $1,660 after a weekly gain of about 15%.
The researchers behind the Shielded Bitcoin paper released on Thursday proposed adapting Zcash’s payment framework for Bitcoin (BTC). Their design separates the mechanisms for depositing and withdrawing actual Bitcoin for further research.
Read More: Bitcoin could soon get Zcash-style ‘shielded’ privacy without changing its rules
Ethereum's plans will necessitate considerable engineering efforts. The efficiency of proof production must improve for broader adoption, and computers handling separate tasks need to synchronize updates to balances and application records without conflict.
Buterin's 2030 vision still identifies cost and privacy constraints for more complex applications. He anticipates that payments will be considered final—meaning irreversible—within approximately eight to 32 seconds.
He believes that the Hegotá upgrade, scheduled for next year, will be Ethereum’s last “normal” fork, based on technology familiar to individuals working on the network since 2015.
Subsequent upgrades will increasingly leverage mathematical proofs, tools that scrutinize software for errors, and security measures designed to withstand future quantum threats.
“Starting after Hegotá, this transformation becomes Ethereum's primary story,” he remarked. “The end result will be significantly cheaper, more scalable, and private high-security computations than anything achievable with prior technologies alone.”
“The cryptographic world computer.”
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