Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
What Happens When Ethereum Stops Computing Everything?
September 29, 2026 | NCFA Insight | Digital Assets Blockchain And Tokenization, Artificial Intelligence And Data, Cybersecurity And Fraud, Digital Identity And Trust, Venture Funding And Building
Proofs could change what blockchains actually need to do
On September 27, 2026, Ethereum cofounder Vitalik Buterin proposed a much different future for Ethereum in his latest essay titled The Cryptographic World Computer. Instead of making every node download the same data and repeat the same calculations, Ethereum would rely far more on cryptographic proofs, data sampling and specialized computers working outside the blockchain. The network would verify more work without having to perform all of it itself.
This isn't just a distant research idea. ZK rollups already execute transactions away from Ethereum and send validity proofs back for verification, while Ethereum's PeerDAS system lets nodes check that rollup data are available without every node downloading all of it. The Ethereum Foundation now says its long term plan for the base network includes succinct execution proofs so validators can eventually verify a proof instead of executing every block again.
A key question for founders and investors is what becomes possible when a blockchain no longer has to do all of the work it is trusted to verify?
Why Every Blockchain Node May Not Need To Do Everything
Blockchains deliberately duplicate work. Independent computers receive transactions, apply the same rules and calculate the resulting state for themselves. That repetition helps participants agree without trusting one central operator, but it also costs money and limits capacity. Cryptographic proofs offer another approach. A computer or group of computers can perform a calculation elsewhere, produce mathematical evidence about the result and let the blockchain verify that evidence instead of repeating the entire calculation.
Some of this already works today where different systems are already handling different parts of the job. Computation, data availability, execution and settlement do not all have to live in one place:
- ZKsync Era performs computation offchain, bundles transactions and sends validity proofs back to Ethereum. Ethereum does not execute every ZKsync transaction itself
- PeerDAS applies a similar idea to data. Since Ethereum's Fusaka upgrade went live on December 3, 2025, nodes can sample pieces of rollup data rather than making every node download every blob (collectively, those samples give the network confidence that the complete data are available)
- Celestia takes the separation further by treating data availability as a service that's separate from execution and settlement. Its light nodes can sample small parts of a block and gain confidence that the full data were published without downloading the whole block
Ethereum's September 2026 protocol priorities point toward an even more radical version of the same idea. The Ethereum Foundation says its planned zkEVM work is intended to move execution proofs from optional to mandatory, with validators eventually verifying a succinct proof instead of executing every block again. Buterin's proposal is not that computation disappears. It is that every validator may no longer need to repeat it.
This model may influence how other blockchains are built too. A payment application could use one network for final settlement, another service for proofs and ordinary cloud infrastructure for most business logic. A privacy system could keep sensitive information outside a public ledger while proving that a required condition was met. An AI agent could perform hundreds of calculations elsewhere and submit only the authorized transaction and the evidence needed to accept it.
It's less about putting everything onchain and more about deciding what everyone actually needs to agree on. That might be ownership, transaction order, a payment, a collateral threshold, an identity condition or proof that software remained inside an approved mandate. Most application may not need global consensus at all.
What Could Founders Build If Verification Gets Cheaper?
A financial agent may compare products, calculate risk, call external services and evaluate several transactions before acting. Putting that entire process on a blockchain would be expensive and could expose information nobody needs. A more practical design could let the agent work elsewhere and prove selected facts when money or ownership changes. Did it stay below a spending limit? Was the beneficiary approved? Did the transaction satisfy a stated policy? Was the final instruction authorized (see AI agents and financial authorization)?
A correct calculation and an authorized action are different things, and financial systems will need both. Proofs could confirm parts of what an agent did while deterministic controls decide what it was allowed to do in the first place.
Another practical use is proving a financial condition without revealing everything behind it.
- A lender might need to establish that income exceeds a threshold without publishing a borrower's complete financial history
- An investment platform might need to confirm eligibility without exposing every identity record
- A company might want to demonstrate that reserves or collateral meet defined rules without disclosing every underlying position
These applications would still depend on trustworthy source data, clearly written rules and legal acceptance. A cryptographic proof can't repair bad information, but it can reduce how much information has to be exposed when the underlying conditions are sound.
Proof generation could evolve into an infrastructure market of its own. If applications rely on proofs, someone has to create, combine and verify them efficiently. That creates room for specialized proving hardware, proof aggregation, cryptographic coprocessors, decentralized compute and developer tools that help determine which work belongs onchain and which work can happen somewhere else.
Regulated finance may eventually find uses as well. Banks, custodians, asset managers and payment companies regularly need to confirm capital, collateral, identity, transaction limits or asset eligibility. Some checks could use cryptographic evidence instead of moving the full underlying dataset between parties. That wouldn't replace regulatory reporting, record keeping or supervisory access, but it could reduce unnecessary data sharing when a counterparty only needs to know whether a specific condition was met.
The economics could also look different from today's blockchain market. If applications buy computation, proofs, storage and settlement separately, value may accrue to infrastructure companies where the economics could accrue differently from today's blockchain market of chains or exchanges. For investors, transaction counts on one chain may tell less of the story than which technical jobs become scarce, costly or strategically important as networks divide the work.
Can This Architecture Survive A Quantum Computer?
What happens when quantum computers become powerful enough to break some of the cryptography blockchains use today? The answer isn't that cryptographic verification stops working. Practically speaking, the cryptography at risk will need to be replaced, and robust systems designed to last will need a clear way to do that.
Ethereum's quantum resistance work identifies four important areas that require changes. 1. Account signatures using ECDSA, 2. validator BLS signatures, 3. KZG commitments used for data availability and 4. some zero knowledge proof systems. The Ethereum Foundation has set an internal goal of making Ethereum's execution, consensus and data layers resistant to quantum attacks by December 2029. It describes that date as an internal engineering target, not a forecast for when a cryptographically capable quantum computer will arrive.
Some of the tools Buterin expects Ethereum to rely on could help with that work. STARKs rely heavily on hash functions rather than the elliptic curve assumptions threatened by sufficiently capable quantum computers. Ethereum researchers are also developing signature systems based on hash functions and ways to aggregate large signatures and proofs designed to resist quantum attacks before they reach the chain.
Every blockchain, custody system, wallet or tokenized asset platform that depends on vulnerable public key cryptography eventually has to decide how its keys, signatures and commitments can be replaced.
The U.S. National Institute of Standards and Technology has already finalized its first standards for cryptography designed to resist quantum attacks and says organizations should begin migrating. In this post we look at Why Fintech Can't Wait For Quantum Computing. NIST's current post quantum guidance calls for organizations to identify vulnerable cryptography and prepare replacement plans. Its transition work aims to remove algorithms vulnerable to quantum attacks from NIST standards by 2035, with higher risk systems expected to move sooner.
Blockchain adds another concern because wallets, tokenized assets, identity credentials and transaction records may remain economically important for decades. A founder building financial infrastructure designed to last should therefore ask two questions combined. What work can we verify instead of repeating, and can we replace the security behind that proof when we need to?
Those questions point toward opportunities in wallets designed to resist quantum attacks, key migration, cryptographic inventory, proof aggregation, formal verification, custody migration and software that can change signature methods without rebuilding an entire application.
Talking Point
If blockchains can trust a proof instead of repeating the work, which financial activities still need to happen onchain, and which only need to be verified there?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
 |  |  |
|---|---|---|
 |  |  |
Leave a Reply