Ethereum's Narrative Is Being Rewritten: When L1 zkEVM Becomes the Endgame, When Will the Next Revolution Arrive?

marsbitPublished on 2026-03-07Last updated on 2026-03-07

Abstract

Ethereum's narrative is undergoing a significant rewrite, shifting from a programmable ledger (2015-2020) to an L2-centric settlement layer (2021-2023), and now toward becoming a verifiable computer with L1 zkEVM as its endgame (2024 onward). The newly proposed Strawmap roadmap outlines an ambitious technical direction, targeting faster L1 confirmation, "Gigagas"-level throughput (10,000 TPS), quantum resistance, and native privacy. This transformation is driven by eight core technical workstreams: formalizing EVM specifications, replacing Keccak with ZK-friendly hashes, transitioning to Verkle Trees, enabling stateless clients, standardizing ZK proof systems, decoupling execution and consensus layers, implementing recursive proof aggregation, and ensuring developer toolchain compatibility. L1 zkEVM aims to integrate zero-knowledge proofs directly into Ethereum’s consensus layer, fundamentally upgrading its trust model. While full implementation may take until 2028-2029, this shift repositions Ethereum as the verifiable trust root for the entire Web3 ecosystem—enhancing scalability without compromising decentralization. The move also redefines the role of L2s, evolving them from scaling solutions to specialized execution environments. Ethereum’s structured, multi-year effort reflects its unique capacity for coordinated innovation and may ultimately establish it as a global settlement layer—fast, secure, and private.

From a purely experiential perspective, since 2025, the update frequency of the Ethereum core developer community has been unusually intense.

From the Fusaka upgrade to Glamsterdam, and then to long-term planning around issues like kEVM, quantum-resistant cryptography systems, and Gas Limit over the next three years, Ethereum has densely released multiple roadmap documents covering three to five years within just a few months.

This pace itself is a signal.

If you carefully read the latest roadmap, you will find a clearer and more radical direction emerging: Ethereum is transforming itself into a verifiable computer, and the end point of this path is L1 zkEVM.

I. The Three Shifts in Ethereum's Narrative Focus

On February 26, Ethereum Foundation researcher Justin Drake posted on a social platform stating that the Ethereum Foundation had proposed a roadmap draft named Strawmap, outlining the upgrade direction for the Ethereum L1 protocol in the coming years.

This roadmap proposes five core goals: a faster L1 (second-level finality), a "Gigagas" L1 achieving 10,000 TPS through zkEVM, high-throughput L2 based on Data Availability Sampling (DAS), a quantum-resistant cryptography system, and native private transaction functionality; the roadmap also plans for seven protocol forks by 2029, averaging about one every six months.

It can be said that over the past decade, Ethereum's development has always been accompanied by the continuous evolution of its narrative and technical路线.

The first stage (2015–2020) was the programmable ledger.

This was the initial core narrative of Ethereum, namely "Turing-complete smart contracts." At that time, Ethereum's biggest advantage was that it could do more things compared to Bitcoin, such as DeFi, NFTs, and DAOs, all products of this narrative. A large number of decentralized financial protocols began operating on-chain, from lending and DEXs to stablecoins. Ethereum gradually became the main settlement network for the crypto economy.

The second stage (2021–2023) saw the narrative taken over by L2.

As Gas fees on the Ethereum mainnet soared, making transaction costs unaffordable for ordinary users, Rollups began to take the lead in scaling. Ethereum also gradually repositioned itself as a settlement layer, aiming to be the foundational base providing security for L2s.

Simply put, this involved migrating most of the execution layer's computation to L2, scaling through Rollups, while L1 was only responsible for data availability and final settlement. During this period, The Merge and EIP-4844 served this narrative, aiming to make L2s cheaper and safer to use Ethereum's trust.

The third stage (2024–2025) focused on narrative introspection and reflection.

As is well known, the prosperity of L2 brought an unexpected problem: Ethereum L1 itself became less important. Users began operating more on Arbitrum, Base, Optimism, etc., rarely interacting directly with L1. The price performance of ETH also reflected this anxiety.

This led the community to debate: if L2s capture all the users and activity, where is the value capture for L1? It wasn't until the internal turbulence within Ethereum in 2025 and the series of roadmaps laid out in 2026 that this logic began to evolve profoundly.

In fact,梳理 (sorting out) the core technical directions since 2025, Verkle Trees, Stateless Clients, EVM Formal Verification, native ZK support, etc., have repeatedly appeared. These technical directions all point to the same thing: making Ethereum L1 itself verifiable. It is important to note that this is not just about allowing L2 proofs to be verified on L1, but about enabling every step of L1's state transition to be compressed and verified via zero-knowledge proofs.

This is the ambition of L1 zkEVM. Different from L2 zkEVM, L1 zkEVM (in-protocol zkEVM) means integrating zero-knowledge proof technology directly into the Ethereum consensus layer.

It is not a replica of L2 zkEVMs (like zkSync, Starknet, Scroll), but rather transforming Ethereum's execution layer itself into a ZK-friendly system. So, if L2 zkEVM is about building a ZK world on top of Ethereum, then L1 zkEVM is about turning Ethereum itself into that ZK world.

Once this goal is achieved, Ethereum's narrative will upgrade from being L2's settlement layer to the "root trust for verifiable computation."

This will be a qualitative change, not the quantitative change of the past few years.

II. What is the True L1 zkEVM?

It's worth reiterating a common point: in the traditional model, validators need to "re-execute" every transaction to verify a block, whereas in the zkEVM model, validators only need to verify a ZK Proof. This allows Ethereum to increase the Gas Limit to 100 million or even higher without increasing the burden on nodes (Further reading: 'The Dawn of the ZK Route: Is the Roadmap for Ethereum's Endgame Accelerating?').

However, transforming Ethereum L1 into a zkEVM is by no means a matter of a single breakthrough; it requires simultaneous progress in eight directions, each being a multi-year engineering effort.

Workstream 1: EVM Formalization

The prerequisite for any ZK proof is that the object being proven has a precise mathematical definition. However, today's EVM behavior is defined by client implementations (Geth, Nethermind, etc.), not by a strict formal specification. The behavior of different clients might be inconsistent in edge cases, making it extremely difficult to write ZK circuits for the EVM—after all, you can't write proofs for an ambiguously defined system.

Therefore, the goal of this workstream is to write every EVM instruction, every state transition rule, into a machine-verifiable formal specification. This is the foundation of the entire L1 zkEVM project. Without it, everything that follows is building on sand.

Workstream 2: ZK-Friendly Hash Function Replacement

Ethereum currently uses Keccak-256 extensively as its hash function. Keccak is extremely unfriendly to ZK circuits, with huge computational overhead, significantly increasing proof generation time and cost.

The core task of this workstream is to gradually replace the use of Keccak inside Ethereum with ZK-friendly hash functions (like Poseidon, Blake series), especially on the state tree and Merkle proof paths. This is a change that affects everything, as the hash function permeates every corner of the Ethereum protocol.

Workstream 3: Verkle Tree Replacing Merkle Patricia Tree

This is one of the most anticipated changes in the 2025–2027 roadmap. Ethereum currently uses the Merkle Patricia Tree (MPT) to store the global state. Verkle Trees replace hash linkages with vector commitments, which can compress witness size by tens of times.

For L1 zkEVM, this means the amount of data needed to prove each block is drastically reduced, and proof generation speed is significantly improved. It also means the introduction of Verkle Trees is a key infrastructure prerequisite for the feasibility of L1 zkEVM.

Workstream 4: Stateless Clients

Stateless clients refer to nodes that, when verifying blocks, do not need to locally store the complete Ethereum state database; they only need the witness data附带 (attached) with the block itself to complete verification.

This workstream is deeply bound with Verkle Trees because stateless clients are only practically feasible if the witness is small enough. Thus, the significance of stateless clients for L1 zkEVM is twofold: on one hand, it greatly reduces the hardware threshold for running nodes, aiding decentralization; on the other hand, it provides a clear input boundary for ZK proofs, allowing the prover to only need to process the data contained in the witness, not the entire world state.

Workstream 5: ZK Proof System Standardization and Integration

L1 zkEVM needs a mature ZK proof system to generate proofs for block execution. However, the current technical landscape in the ZK field is highly fragmented, with no公认 (consensus) optimal solution. The goal of this workstream is to define a standardized proof interface at the Ethereum protocol layer, allowing different proof systems to接入 (access/be integrated) through competition, rather than designating a specific one.

This maintains technological openness while also leaving room for the continuous evolution of proof systems. The Ethereum Foundation's PSE (Privacy and Scaling Explorations) team has substantial preliminary积累 (accumulation) in this direction.

Workstream 6: Decoupling Execution Layer and Consensus Layer (Engine API Evolution)

Currently, Ethereum's Execution Layer (EL) and Consensus Layer (CL) communicate via the Engine API. Under the L1 zkEVM architecture, every state transition of the execution layer requires generating a ZK proof, and the generation time for this proof may far exceed a block's出块间隔 (block time).

The core problem this workstream needs to solve is how to decouple execution and proof generation without breaking the consensus mechanism—execution can be completed quickly first, proof generation can be滞后异步 (generated asynchronously later), and then validators can complete final confirmation at an appropriate time. This involves a deep改造 (overhaul) of the block finality model.

Workstream 7: Recursive Proofs and Proof Aggregation

The cost of generating a ZK proof for a single block is high, but if proofs for multiple blocks can be recursively aggregated into one proof, the verification cost can be significantly reduced. Progress in this workstream will directly determine how低成本 (low-cost) L1 zkEVM can operate.

Workstream 8: Developer Toolchain and EVM Compatibility Guarantee

All underlying technical transformations must ultimately be transparent to smart contract developers on Ethereum. The existing hundreds of thousands of contracts cannot fail due to the introduction of zkEVM. Developers' toolchains cannot be forced to rewrite.

This workstream is the most easily underestimated but often the most time-consuming. Historically, every EVM upgrade required extensive backward compatibility testing and toolchain adaptation work. The scale of changes for L1 zkEVM is far greater than previous upgrades, so the workload for toolchains and compatibility will be an order of magnitude higher.

III. Why is Now the Right Time to Understand This?

The release of Strawmap coincides with a time when the market has doubts about ETH's price performance. From this perspective, the most important value of this roadmap lies in redefining Ethereum as "infrastructure."

For builders, represented by developers, Strawmap provides directional certainty. For users, these technical upgrades will ultimately translate into perceptible experiences: transactions finalized within seconds, assets seamlessly flowing between L1 and L2, privacy protection becoming a built-in feature rather than a plugin.

Objectively speaking, L1 zkEVM is not a product that will be launched in the near future; its complete implementation may take until 2028-2029 or even later.

But at least it redefines Ethereum's value proposition. If L1 zkEVM succeeds, Ethereum will no longer be just the settlement layer for L2, but the verifiable trust root for the entire Web3 world, allowing any on-chain state to ultimately be traced back mathematically to Ethereum's ZK proof chain. This is decisive (决定性) for Ethereum's long-term value capture.

Secondly, it also affects the long-term positioning of L2. After all, when L1 itself possesses ZK capabilities, the role of L2 will change—evolving from "secure scaling solutions" to "specialized execution environments." Which L2s can find their place in this new landscape will be the most值得观察 (worth observing) ecological evolution in the coming years.

Most importantly, the author feels it is also an excellent window to observe Ethereum's developer culture—the ability to simultaneously advance eight interdependent technical workstreams, each being a multi-year engineering effort, while maintaining a decentralized coordination method, is itself Ethereum's unique capability as a protocol.

Understanding this helps to more accurately assess Ethereum's true position in various competitive narratives.

Overall, from the "Rollup-centric" approach of 2020 to the Strawmap of 2026, the evolution of Ethereum's narrative reflects a clear trajectory: scaling cannot rely solely on L2; L1 and L2 must co-evolve.

Therefore, the eight workstreams of L1 zkEVM are the technical mapping of this cognitive shift. They collectively point to one goal: enabling the Ethereum mainnet to achieve an order-of-magnitude performance improvement without sacrificing decentralization. This is not a negation of the L2 route, but its perfection and supplement.

In the next three years, this "Ship of Theseus" will undergo seven forks and replace countless "planks." When it arrives at the next stop in 2029, we may see a truly "global settlement layer"—fast, secure, private, and as open as ever.

Let's wait and see together.

Related Questions

QWhat is the ultimate goal of Ethereum's latest roadmap, Strawmap, as described in the article?

AThe ultimate goal is to transform Ethereum into a verifiable computer, with L1 zkEVM as the endgame. This involves making Ethereum L1 itself a ZK-friendly system, turning it into the root of verifiable trust for the entire Web3 world, rather than just a settlement layer for L2s.

QWhat are the three major shifts in Ethereum's narrative focus from 2015 to the present?

A1. 2015-2020: Programmable Ledbger - Focus on Turing-complete smart contracts enabling DeFi, NFTs, and DAOs. 2. 2021-2023: L2 Narrative - Ethereum repositioned as a settlement layer for L2 Rollups to scale. 3. 2024-2025: Introspection and Inward Focus - A shift towards making L1 itself verifiable with zkEVM to address value capture concerns.

QWhat is the key difference between an L2 zkEVM and the proposed L1 zkEVM?

AAn L2 zkEVM (like zkSync or Starknet) builds a ZK world on top of Ethereum. In contrast, L1 zkEVM (in-protocol zkEVM) integrates zero-knowledge proof technology directly into Ethereum's consensus layer, transforming Ethereum itself into that ZK world.

QName at least three of the eight key workstreams required to implement L1 zkEVM.

AThree of the eight workstreams are: 1. EVM Formalization: Creating a precise mathematical definition of the EVM. 2. ZK-Friendly Hash Function Replacement: Substituting Keccak-256 with ZK-friendly alternatives like Poseidon. 3. Verkle Tree Replacement: Replacing the Merkle Patricia Tree with Verkle Trees to compress witness data.

QHow does the article suggest the role of L2s will change if L1 zkEVM is successfully implemented?

AThe role of L2s will evolve from being security and scaling solutions to becoming specialized execution environments. Their long-term positioning will shift as L1 itself takes on the core role of providing verifiable trust.

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Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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