zkEVMs are a tactical solution for a strategic problem. They prioritize bytecode-level equivalence with the EVM, which simplifies developer onboarding but inherits its fundamental constraints. This focus on Ethereum's execution model is a distraction from the more critical challenge of designing scalable, intent-driven systems.
Why zkEVMs Are Just a Stepping Stone
zkEVMs like Scroll and Polygon zkEVM are crucial for bootstrapping liquidity, but their bytecode-level EVM equivalence creates unnecessary overhead. The endgame is purpose-built, ZK-optimized execution environments.
Introduction
zkEVMs optimize for a narrow definition of Ethereum compatibility, missing the broader architectural shift required for scalable, user-centric applications.
The real bottleneck is state growth, not just cheap computation. Projects like Starknet and zkSync demonstrate that zk-proven execution is viable, but their long-term success depends on state management solutions that zkEVMs alone do not provide. The industry's obsession with EVM equivalence delays innovation in state models.
The endgame is zk-rollups for specific applications, not general-purpose clones. Protocols like dYdX (moving to Cosmos) and Immutable X show that application-specific chains with custom VMs and data availability layers outperform monolithic, EVM-compatible ones. The future belongs to zk-rollup frameworks, not zkEVM implementations.
Executive Summary
zkEVMs solve Ethereum's scaling problem, but they are not the final architectural destination.
The Problem: zkEVMs Are Still Monolithic
They replicate Ethereum's execution model, inheriting its fundamental bottlenecks. The EVM is a single-threaded runtime that cannot leverage parallel processing, limiting throughput to ~100-200 TPS per chain even with ZK proofs.
- Execution Bottleneck: Sequential processing caps scalability.
- State Growth: Full nodes must still manage a global state, limiting decentralization.
- Developer Constraint: Innovation is confined to EVM opcode semantics.
The Solution: Modular zkVM Rollups
The endgame is specialized, modular execution layers using custom zkVMs (e.g., RISC Zero, SP1). These decouple execution from settlement, enabling parallel processing and optimal design for specific applications.
- Parallel Execution: Scale horizontally with multiple provable VMs.
- Sovereignty: Choose your own data availability (Celestia, EigenDA) and settlement layer.
- Optimal Design: Build VMs for gaming, DeFi, or AI, not one-size-fits-all EVM compatibility.
The Bridge: zkEVMs as a Liquidity On-Ramp
zkEVMs like Scroll, Polygon zkEVM, and zkSync Era serve a critical interim function: migrating $100B+ in EVM liquidity and developer mindshare. They are the compatibility layer that funds and validates the modular thesis.
- Liquidity Migration: Bootstrap TVL and users from Ethereum L1.
- Developer Adoption: Lower switching cost for millions of Solidity devs.
- Proof Market Validation: Drive demand for prover networks (e.g., Espresso, Risc0).
The Inevitability: Prover Commoditization
zkEVMs rely on expensive, specialized proving. The future is a competitive proof market where execution environments rent proving time from decentralized networks like Risc0 or Succinct. zkEVM provers become a cost center, not a moat.
- Cost Reduction: Proof generation drops from $0.10+ to <$0.01 per transaction.
- Decentralization: No single entity controls the proving hardware.
- Interoperability: Shared provers enable cross-VM state proofs.
The Core Argument: EVM Equivalence is a Tax
zkEVMs sacrifice raw performance and user experience to maintain compatibility with an aging standard.
EVM equivalence is a constraint. It forces zkEVMs like Scroll, Polygon zkEVM, and Linea to inherit the EVM's architectural inefficiencies, including its single-threaded execution and expensive storage model. This compatibility layer adds overhead that pure zkVMs like Starknet's Cairo avoid.
The tax is paid in gas and latency. Proving EVM opcodes is computationally intensive, leading to higher proving costs and longer finality times versus purpose-built VMs. This creates a direct trade-off between developer convenience and chain performance.
The endgame is specialized execution layers. zkEVMs are a bridge for existing Solidity liquidity, but the ultimate scaling solution is application-specific zkRollups using custom VMs (e.g., dYdX on StarkEx, Immutable zkEVM). These chains optimize for their use case, abandoning full EVM equivalence.
Evidence: Starknet, with its non-EVM Cairo VM, achieves sub-dollar transaction costs during low congestion, while EVM-equivalent zkRollups often struggle to consistently stay below $0.50. The proving cost differential is the tax.
The Efficiency Tax: zkEVM vs. ZK-Optimized VM
Comparing the trade-offs between bytecode-level compatibility and custom VM design for zero-knowledge scaling.
| Feature / Metric | zkEVM (Type 2/3) | ZK-Optimized VM | Native ZK L1 |
|---|---|---|---|
EVM Bytecode Compatibility | |||
Prover Cost per Tx | $0.10 - $0.50 | $0.01 - $0.05 | < $0.01 |
Proving Time (Latency) | 3 - 10 sec | 1 - 3 sec | < 1 sec |
Developer Friction | Near-zero | High (New DSL) | Very High |
Gas Efficiency vs. EVM | 60 - 80% | 95 - 100% | 100% (Baseline) |
Circuit Constraint Count | 10M - 100M+ | 1M - 5M | N/A |
Trusted Setup Required | |||
Example Protocols | Scroll, Polygon zkEVM | zkSync Era, Starknet | Mina, Aleo |
The Liquidity Bridge and Its Sunset
zkEVMs are a temporary, capital-intensive bridge for liquidity, not the final architecture for a unified blockchain ecosystem.
zkEVMs are liquidity bridges. They solve the immediate problem of moving assets and users from Ethereum by offering cheap, compatible execution. This is a capital formation tool, not a scaling breakthrough. Projects like Polygon zkEVM and Scroll succeed by attracting TVL, not by architectural superiority.
The sunset begins with fragmentation. Each zkEVM creates its own isolated liquidity pool and state. This recreates the multi-chain problem it aimed to solve, forcing users to rely on canonical bridges and third-party aggregators like Across and Socket for cross-rollup movement.
The end-state is a unified settlement layer. The final architecture uses Ethereum as a verification and data availability layer, not an execution target. Execution migrates to specialized, interoperable environments like L3s and app-chains, connected via shared proving systems (e.g., Risc Zero) and intents.
Evidence: The capital efficiency delta is the proof. A canonical bridge locking $1B in TVL is $1B not deployed in DeFi. Intent-based architectures like UniswapX and CowSwap abstract this away, routing orders to the best execution venue without requiring users to pre-fund destination chains.
Architectural Divergence: Who's Building What
The race to scale Ethereum via zkEVMs is just the first lap. The real divergence is in the next-generation architectures being built on top of them.
The Problem: zkEVMs Are a Commodity
Every major L2 now has a zkEVM, converging on similar performance metrics. The ~$0.01 transaction and ~2-second finality are table stakes. This creates a new battleground: the execution environment on top of the VM.
Parallel EVMs: The Monolithic Play
Projects like Monad and Sei v2 are betting that raw, parallelized throughput is the ultimate moat. They retrofit the EVM to process transactions concurrently, breaking the single-threaded bottleneck.\n- Key Benefit: Enables high-frequency DeFi and on-chain order books.\n- Key Benefit: Preserves developer familiarity while offering 10-100x throughput gains.
Modular & Sovereign Rollups: The Customization Play
Celestia, EigenLayer, and Fuel enable teams to deploy rollups with bespoke execution layers. This allows for optimized VMs (non-EVM), custom fee tokens, and instant upgrades.\n- Key Benefit: Sovereignty and ability to innovate at the VM level.\n- Key Benefit: Escape the political and technical constraints of Ethereum's core development.
Intent-Centric Architectures: The Abstraction Play
Anoma, Succinct, and UniswapX are pioneering systems where users declare what they want, not how to do it. Solvers compete to fulfill intents optimally across chains.\n- Key Benefit: Eliminates user complexity (gas, slippage, routing).\n- Key Benefit: Unlocks cross-domain MEV capture for solvers, creating a new market.
The Shared Sequencer Dilemma
As rollups proliferate, sequencing becomes critical infrastructure. Espresso, Astria, and Radius are building shared sequencer networks to provide credible neutrality, fast cross-rollup composability, and MEV resistance.\n- Key Benefit: Prevents a single L2 from becoming a centralized bottleneck.\n- Key Benefit: Enables atomic transactions across hundreds of rollups.
zkVMs for Everything: The Universal Circuit
RISC Zero, SP1, and Jolt are building general-purpose zkVMs. These aren't just for Ethereum compatibility; they allow any program (in Rust, C++, etc.) to be proven, enabling verifiable off-chain compute for AI, gaming, and more.\n- Key Benefit: Breaks the 'EVM-only' constraint of current zkEVMs.\n- Key Benefit: Turns any server into a potential verifiable co-processor for blockchains.
Steelman: The Network Effects Defense
zkEVMs cannot overcome the entrenched network effects of existing L2s, which are defined by liquidity, tooling, and developer mindshare.
EVM equivalence is insufficient. A perfect zkEVM like Polygon zkEVM or Scroll offers a frictionless porting experience, but this is a commodity. The real moat is application-layer liquidity and the developer ecosystem that tools like Foundry and Hardhat are optimized for.
Liquidity migrates slowly. Even with superior technology, moving billions in TVL from Arbitrum or Optimism requires a compelling cost-benefit that doesn't exist. Protocols like Uniswap V3 deploy where the users are, not where the proofs are fastest.
The tooling gap is permanent. Established L2s have years of battle-tested integrations with oracles like Chainlink, indexers like The Graph, and wallets. A new zkEVM chain must rebuild this integration surface area from zero.
Evidence: Arbitrum processes over 1 million daily transactions with a TVL exceeding $18B. No zkEVM, including zkSync Era, has matched this liquidity-density to activity ratio, proving that technical purity loses to entrenched network effects.
FAQ: The zkEVM Transition
Common questions about why zkEVMs are an intermediate, not final, stage in blockchain scaling.
zkEVMs are a transitional solution because they still rely on centralized sequencers and expensive on-chain verification. They solve data availability and execution scaling but inherit the security and decentralization limitations of their parent L1s like Ethereum. The endgame is a modular stack with decentralized sequencing and shared security layers like EigenLayer.
The 24-Month Outlook: Specialization Wins
zkEVMs are a temporary solution, destined to be superseded by purpose-built zkVMs and specialized execution layers.
zkEVMs are a bridge technology. They provide compatibility with the existing Ethereum developer ecosystem, but their design inherits the inefficiencies of the EVM. The overhead of proving EVM opcodes creates a performance ceiling that dedicated zkVMs like RISC Zero or SP1 avoid.
Specialized execution layers will dominate. The future is not a monolithic L2 but a constellation of app-chains and rollups optimized for specific tasks—like a dYdX for trading or an Immutable for gaming. General-purpose zkEVMs like Scroll or Polygon zkEVM become settlement hubs for these specialized chains.
The data proves the trend. The most successful L2s, Arbitrum and Optimism, already fragment into Orbit and Superchain models for customization. zkEVMs are the final step in proving general compute is viable, not optimal.
Key Takeaways
zkEVMs solve Ethereum's scaling problem, but they are not the final destination for application architecture.
The Fragmented Liquidity Problem
Every new zkEVM (Scroll, Polygon zkEVM, zkSync Era) fragments capital and users. This recreates the L2 wars, forcing protocols to deploy everywhere and users to bridge constantly.
- Interoperability tax: Users pay ~$5-20 and wait ~20 mins per bridge hop.
- Capital inefficiency: TVL is siloed, reducing composability and yield opportunities.
The Verifier Centralization Risk
zkEVMs rely on a small set of actors to run the prover and submit proofs to Ethereum. This creates a single point of failure and potential for censorship.
- Sequencer risk: Most chains use a single, centralized sequencer (e.g., Polygon, zkSync).
- Prover monopoly: Proving is computationally intensive, leading to oligopolies. A malicious prover can halt the chain.
The App-Specific Chain Thesis
The end-state is not a generic zkEVM, but purpose-built zkRollups (like dYdX, Aevo) or validiums. These chains optimize for a single application's needs.
- Sovereignty: Apps control their own stack, from sequencer to upgrade path.
- Optimized economics: Fee models and data availability are tailored to the app (e.g., high-throughput DEX).
Intent-Based Abstraction
The next UX layer won't care about zkEVMs. Users will declare outcomes ("swap X for Y at best rate"), and solvers (like UniswapX, CowSwap, Across) will route across all chains invisibly.
- Chain-agnostic UX: Users never see a bridge or sign a transaction on a foreign chain.
- Optimal execution: Solvers compete across L2s, CEXs, and private pools for the best price.
The Modular Data Availability Bottleneck
zkEVMs using Validium or Volition modes (e.g., StarkEx) rely on off-chain Data Availability Committees (DACs) or alternative DA layers like Celestia/EigenDA. This trades Ethereum's security for lower cost.
- Security/ Cost Trade-off: Moving data off Ethereum reduces fees by ~100x but introduces new trust assumptions.
- DA Layer Wars: The battle shifts from L1 execution to the most secure and cheap DA layer.
The Shared Sequencer Future
Projects like Espresso, Astria, and Shared Sequencer from the OP Stack aim to decentralize and share sequencing across rollups. This solves fragmentation and enables atomic cross-rollup composability.
- Atomic Composability: Enables a single transaction to interact with contracts on multiple zkEVMs.
- Decentralized Sequencing: Replaces the single-entity sequencer with a permissionless set of validators.
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