Ethereum’s next scaling leap may come from making everyone stop doing the same work

Ethereum co-founder Vitalik Buterin says advances in cryptography could turn decentralization from a performance cost into a scaling advantage for the network.

In a Sept. 27 essay, Buterin described Ethereum's long-term destination as a “cryptographic world computer,” an architecture in which computation and data can increasingly be distributed across different participants while compact proofs allow others to cheaply verify that the work was performed correctly.

The shift would mark a departure from the traditional blockchain model in which every node downloads transactions and repeats much of the same computation. Instead, Ethereum could push more work across a wider network of specialized participants without requiring every validator to reproduce it, potentially allowing decentralization itself to contribute to performance.

“Perhaps the most important shift” is that decentralization is moving beyond being a burden accepted for safety and robustness and can, in limited cases, become a performance strength, Buterin wrote. Distributed networks can store larger quantities of data and run more computation in parallel, including work around the transaction mempool.

That revives one of Ethereum's earliest ambitions. Developers in the mid-2010s considered distributing different pieces of computation across participants much as centralized systems divide workloads between servers. The obstacle was verification: dividing the work created the additional problem of establishing that every participant had performed its portion correctly.

Modern cryptographic proofs increasingly provide that missing layer, Buterin said, while their computational overhead continues to decline.

From repeated computation to verified work

The change is part of a broader overhaul that Buterin argues will make Ethereum around 2030 qualitatively different from the blockchain systems that emerged with Bitcoin.

Ethereum's future verification model would rely increasingly on data sampling and succinct cryptographic proofs rather than requiring every validator to download and independently execute everything. Consensus is also moving toward a more optimized proof-of-stake design, while block construction is being divided among multiple participants instead of being controlled by a single producer.

Zero-knowledge technology is already central to that direction. Ethereum's proposed L1 zkEVM model would allow a specialized prover to execute a block and generate a proof of correct execution, which other nodes could verify much more cheaply than re-executing every transaction themselves. The technology remains under active research and has not been integrated into production Ethereum clients.

The result, if the roadmap works as intended, would be a network where doing work and checking work become increasingly separate functions.

Buterin argues that separation could allow Ethereum to retain the security benefits of broad verification while tapping distributed infrastructure for more computation, storage and potentially privacy. Infrastructure surrounding Ethereum could also compete more aggressively on latency even if the base chain itself never approaches the response times of centralized servers.

He described the eventual system as a hybrid combining traditional blockchain properties with cryptographic verification, privacy and decentralized components operating away from the base chain.

Applications may have to change with it

The transition could also alter the economics of building applications on Ethereum.

On a conventional blockchain, developers largely think about the amount of data or computation an application consumes. Buterin expects the structure of that computation to become increasingly important as Ethereum attempts to parallelize work across different participants.

Applications that package large amounts of interdependent computation into one serial transaction could become comparatively expensive, while workloads separated into well-defined components that can be parallelized, aggregated or pruned could become cheaper.

That would give developers an incentive to design applications around independent dependencies rather than treating Ethereum as a single machine on which arbitrary computation is executed sequentially.

Over time, Buterin suggested, Ethereum could converge toward a model where information needed for ordering and state changes that cannot be rearranged remains onchain, while much of the surrounding computation is processed and aggregated before reaching a block.

Such a model would push Ethereum closer to being a coordination and verification layer for distributed computation rather than a system in which the base chain itself performs every operation.

The distinction remains largely prospective. Ethereum's roadmap contains several research efforts aimed at reducing what ordinary validators must store or compute, while many of the technologies needed for the broader architecture remain unfinished.

State becomes the harder constraint

Making computation verifiable does not remove the need to obtain the data on which that computation depends.

Buterin identified managing and parallelizing access to Ethereum's growing state as the more systemically difficult challenge facing the architecture. State includes the account balances, smart-contract storage and other information required to determine what the network currently looks like before another transition can be calculated.

Ethereum researchers are pursuing several approaches to reduce that burden. Weak statelessness, for example, would allow most validators to verify blocks without maintaining the full state database, while block producers retain access to the state needed to construct blocks and generate witnesses. The proposal remains in research and depends on other changes to Ethereum's architecture.

That means cryptographic proofs can make the result of computation dramatically cheaper to check without making the upstream requirement for data disappear. The network must still develop reliable ways to store, retrieve and parallelize access to state as more work is divided among participants.

Buterin said Ethereum has potential approaches to the problem, though designs will need to evolve alongside the applications eventually running on the network.

The transition is already moving into Ethereum's protocol roadmap. Buterin said Hegotá, currently planned for 2027, could be the network's last “normal” fork recognizable to developers from Ethereum's earlier era. Later upgrades are expected to lean increasingly on recursive proofs, automated formal verification, optimized consensus and quantum-resistant cryptography.

PeerDAS has begun that transition, he said. What follows will test whether Ethereum can distribute substantially more computation without recreating the old requirement that every participant repeat the same work, and whether its state infrastructure can keep pace with the cryptography making that division possible.