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Blog

The Future of Execution Layers in a Modular World

Execution is fragmenting into a spectrum from hyper-specialized VMs (Fuel, Eclipse) to general-purpose hubs (Arbitrum, Optimism). This creates a new competitive layer where developer experience, performance, and economic security collide.

introduction
THE EXECUTION PARADOX

Introduction

The modular thesis fragments the monolithic blockchain, creating a competitive market for specialized execution layers.

Monolithic architectures are obsolete. Ethereum's L1 is a congested, expensive settlement layer, forcing execution to migrate to specialized environments like Arbitrum, Optimism, and zkSync. This separation creates a market where execution layers compete on performance and cost.

Execution is now a commodity. The value accrual shifts from the execution engine itself to the sequencer and prover roles. This is why StarkWare and Polygon focus on proving technology, while L2s like Base compete on user experience.

The winning execution layer will not be the fastest, but the most composable. It will offer native account abstraction, seamless interoperability via protocols like LayerZero and Hyperlane, and integrate intent-based flows from UniswapX and CowSwap.

Evidence: Arbitrum processes over 1 million transactions daily, yet its sequencer profits are trivial compared to the value of its proving technology stack and developer ecosystem moat.

deep-dive
THE ARCHITECTURAL TRADE-OFF

The Spectrum: From Hyper-Specialized to General-Purpose

Execution layer design is fracturing into a spectrum defined by the trade-off between application-specific optimization and general-purpose utility.

Hyper-specialized execution layers are winning for high-frequency, predictable logic. They hardcode application rules into the state transition function, eliminating EVM overhead. This creates unbeatable performance and cost for specific use cases like dYdX's orderbook or Immutable's NFT minting.

General-purpose EVM chains remain the dominant liquidity hubs. Their universal compatibility and developer tooling create network effects that specialized chains cannot replicate. Arbitrum and Optimism succeed by being better EVMs, not different ones.

The middle ground is the battleground. Layer 2s like Starknet and zkSync Era use general-purpose ZK-VMs to offer scalable, programmable environments. Their success depends on proving that ZK-proof generation costs fall faster than the value of hyper-optimization.

Evidence: Avalanche subnets and Polygon CDK demonstrate the demand for specialization, while the combined TVL of Arbitrum and Optimism exceeds $15B, proving the enduring value of the general-purpose model.

MONOLITHIC VS. MODULAR VS. HYPERPARALLEL

Execution Layer Competitive Matrix

A comparison of execution layer architectures based on scalability, cost, and developer trade-offs.

Feature / MetricMonolithic (Ethereum L1)Modular Rollup (Arbitrum, Optimism)Hyperparallel VM (Monad, Sei V2)

Execution Model

Sequential (Single Thread)

Sequential (Single Thread)

Parallel (Pipelined)

Theoretical Max TPS

~15-45

~4,000-10,000

~10,000-100,000+

State Access Bottleneck

Global State

Sequential Fraud/Validity Proofs

Parallelized State Access

Avg. User Tx Cost (Base)

$1.50 - $15.00

$0.01 - $0.25

< $0.01 (Target)

Sovereignty / Forkability

Native MEV Capture

Proposer-Builder Separation

Sequencer Auctions (Emerging)

Integrated MEV Auctions

Time to Finality

~12 minutes

~1 week (Dispute) / ~1 hr (ZK)

< 1 second (Target)

EVM Bytecode Compatibility

risk-analysis
MODULARITY'S DOWNSIDE

The Inevitable Fractures: Risks of a Fragmented Execution Layer

The shift to modular blockchains creates a landscape of competing execution layers, each introducing new vectors for systemic risk and user friction.

01

The Liquidity Silos Problem

Every new L2 or appchain fragments capital, creating isolated liquidity pools. This negates the core value of a shared state and leads to inefficient markets.\n- Capital Inefficiency: TVL is trapped, requiring expensive bridging for arbitrage.\n- Slippage Explosion: Smaller pools on new chains experience 2-10x higher slippage for large trades.\n- Protocol Risk: New chains bootstrap with unsustainable incentives, leading to >90% TVL crashes post-airdrop.

>90%
TVL Crash Risk
2-10x
Higher Slippage
02

The Security Subsidy Ends

Rollups currently rely on Ethereum L1 for security and data availability. The rise of validiums and sovereign rollups using alt-DA (e.g., Celestia, EigenDA) fractures this security model.\n- Weak Consensus: Alt-DA layers have ~$1B in staked value vs. Ethereum's ~$100B.\n- Data Unavailability Attacks: Become trivial if a DA layer's consensus fails.\n- No Unified Arbiter: Cross-chain disputes between sovereign chains have no final, trusted resolution layer.

100x
Security Gap
$1B vs $100B
Stake Comparison
03

The Developer's Dilemma

Choosing an execution layer is now a high-stakes bet on ecosystem survival. Developers face impossible trade-offs between cost, users, and technical risk.\n- Vendor Lock-in: Building on a nascent L2 ties fate to its often centralized sequencer and tokenomics.\n- Combinatorial Explosion: Supporting 5+ chains multiplies devops, auditing, and integration costs by 3-5x.\n- User Abstraction Failure: Wallets and RPC endpoints fail to hide chain complexity, destroying UX.

3-5x
Cost Multiplier
5+
Chain Support Burden
04

The Interoperability Tax

Fragmentation makes cross-chain activity mandatory, exposing users to bridge hacks, latency, and fees. LayerZero, Axelar, Wormhole become critical but risky single points of failure.\n- Bridge Risk: >$2.5B has been stolen from cross-chain bridges.\n- Latency Surcharge: Cross-chain swaps add ~2-5 minutes and extra $5-$20 in fees.\n- Settlement Finality Uncertainty: Weak light client proofs or optimistic verification periods create hours of risk.

>$2.5B
Bridge Hacks
2-5 min
Latency Penalty
future-outlook
THE EXECUTION LAYER BATTLEFIELD

The 2025 Outlook: Consolidation and Interop Wars

Execution layers will compete on hyper-specialization and seamless interoperability, not raw throughput.

Execution layer specialization wins. Monolithic L1s like Solana will dominate high-frequency DeFi, while app-specific rollups like dYdX and Aevo will own verticals. General-purpose L2s like Arbitrum and Optimism become commodity infrastructure, competing on cost and developer experience.

Interoperability is the new moat. The winner is the chain with the best native cross-chain UX, not the fastest local VM. This drives adoption of shared sequencing from Espresso and interoperability layers like LayerZero and Hyperlane for atomic composability.

The DA war is over. The market will standardize on Ethereum's danksharding blobspace and Celestia's modular data availability. Execution layers become thin clients that compete on proving costs and settlement finality, not data storage.

Evidence: Arbitrum's Orbit chains and Optimism's Superchain demonstrate the commoditization trend, where the core stack is free and value accrues to the shared sequencer and interoperability protocol.

takeaways
EXECUTION LAYER FUTURE

TL;DR for Protocol Architects

The monolithic era is over. The future is a competitive landscape of specialized execution layers, each optimizing for a different vector.

01

The Problem: The Monolithic Bottleneck

Ethereum L1 is a shared, congested resource. Every dApp competes for the same block space, leading to volatile fees and unpredictable performance. This model cannot scale to serve billions of users.

  • Shared State Contention: DeFi, NFTs, and social apps all fight for the same global state, causing network-wide congestion.
  • One-Size-Fits-None: The EVM is a general-purpose VM, optimized for nothing in particular, creating inherent inefficiency.
  • Innovation Tax: Protocol upgrades require hard forks, stifling rapid iteration on execution logic.
~$200
Peak TX Cost
15 TPS
Base Layer Cap
02

The Solution: Specialized Execution Layers (Rollups, Appchains)

Decouple execution from consensus and data availability. This creates a market for execution environments optimized for specific use cases, from high-frequency DeFi to privacy-preserving social graphs.

  • Performance Isolation: An appchain's congestion doesn't affect others. Enables sub-second finality and <$0.01 fees.
  • Sovereign Stack: Choose your VM (EVM, SVM, Move, WASM), data availability layer (Ethereum, Celestia, Avail), and prover system.
  • Fee Market Capture: Execution layers capture their own MEV and transaction fees, creating sustainable economic models.
10,000+
Theoretical TPS
-99%
Cost vs L1
03

The Battleground: Shared Sequencers & Prover Markets

The core infrastructure war shifts from L1 consensus to the middleware of modular execution: sequencing and proving. Control here means control over UX, MEV, and interoperability.

  • Shared Sequencers (e.g., Espresso, Astria): Provide cross-rollup atomic composability and mitigate centralization risks of single-operator sequencers.
  • Prover Markets: The rise of proof aggregation (e.g., Nebra) and specialized hardware (GPUs, ASICs) will commoditize ZK-proof generation, a major cost center for zkRollups like zkSync, Starknet.
  • Intent-Based Flow: Solvers compete to fulfill user intents, abstracting complexity. This paradigm, seen in UniswapX and CowSwap, will become the default UX, requiring new execution layer architectures.
~500ms
Cross-Rollup Latency
$1B+
Prover Market Size
04

The New Risk Surface: Fragmentation & Security

Modularity introduces new attack vectors and systemic risks. Security is no longer inherited from a single robust L1; it's a composable property of the entire stack.

  • Data Availability Failures: If the chosen DA layer (Celestia, EigenDA) censors or goes down, the rollup halts. This is a liveness failure.
  • Bridge Risk: Interoperability between hundreds of execution layers depends on trust-minimized bridges (e.g., Across, LayerZero, IBC). A bridge hack is a chain hack.
  • Sequencer Centralization: Most rollups today have a single, centralized sequencer. This creates a single point of failure for censorship and MEV extraction.
$2B+
Bridge Hack Losses
1-of-N
Common Sequencer Model
05

The Endgame: Parallel EVMs & Hyperparallelism

The next evolution isn't just multiple chains, but parallel execution within a single VM. This is the final unlock for scaling general-purpose smart contract platforms.

  • Parallel EVMs (e.g., Monad, Sei v2, Neon EVM): Use optimistic parallelization and a parallel state database to process non-conflicting transactions simultaneously. This yields linear scaling with cores.
  • Async Execution: Separate transaction execution from consensus, allowing blocks to be filled with pre-executed results. This is the core innovation behind Solana's performance.
  • Hardware Leverage: Maximizing utilization of modern multi-core servers is the only path to >100k TPS for EVM-compatible chains.
10,000 TPS
EVM Target
100x
Throughput Gain
06

The Strategic Imperative: Own Your Execution

For protocol architects, the decision is no longer if to modularize, but how. The choice of execution layer is a fundamental product decision with lasting consequences.

  • Appchain vs. Shared L2: Weigh sovereignty and fee capture against shared security and liquidity. dYdX chose an appchain; Aave chose an L2.
  • VM Choice: EVM for liquidity, Move for asset safety (Aptos, Sui), or a custom VM for novel use cases (e.g., Fuel).
  • Roadmap to Decentralization: Plan your sequencer/ prover decentralization from day one. It's harder to retrofit later.
$50M+
Appchain Cost
100%
Fee Capture
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