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the-ethereum-roadmap-merge-surge-verge
Blog

Ethereum Scalability Timelines Teams Misread

A technical deconstruction of why common projections for Ethereum's scaling completion are flawed. The Surge is a multi-year, phased rollout, not a 2025 finish line. Misreading this leads to poor infrastructure bets.

introduction
THE TIMELINE TRAP

The 2025 Mirage

Ethereum's scalability roadmap is a multi-year, multi-layered process that teams are misinterpreting as a single, imminent event.

Full danksharding is 2026+. The current roadmap prioritizes data availability (Proto-Danksharding/EIP-4844) over execution scaling. Teams building for a hypothetical 2025 'surge' are misreading the sequence.

Scalability is a stack, not a switch. Real throughput requires L2s like Arbitrum, Optimism, and zkSync to optimize their provers and sequencers, not just wait for L1 upgrades.

The bottleneck shifts to proving. With abundant data blobs, the constraint moves to ZK proof generation speed and cost, a problem tackled by Risc Zero and Succinct.

Evidence: Vitalik Buterin's roadmap diagram explicitly sequences 'The Surge' (data scaling) before 'The Verge' (verification scaling), with full danksharding marked for later.

thesis-statement
THE TIMELINE MISMATCH

Core Thesis: The Surge is a Decade, Not a Deadline

Ethereum's scalability roadmap is a multi-year architectural transition, not a single upgrade event.

The roadmap is a process. The Surge is a label for a multi-year, multi-phase evolution of Ethereum's data availability and execution layers. Teams building for a single 'post-Surge' moment are misreading the timeline.

Scalability is incremental. Each phase—Proto-Danksharding, Danksharding, Verkle Trees—unlocks specific capacity gains. The final state of 100k+ TPS is a 2028-2030 target, not a 2024 deliverable.

Infrastructure matures slowly. Rollup frameworks like Arbitrum Orbit and OP Stack require years of optimization to utilize full sharded data. The current L2 scaling ceiling is a temporary bottleneck.

Evidence: Vitalik Buterin's roadmap diagrams explicitly show the Surge extending through 2028. Current L2s like Base process ~15 TPS; the network needs a 1000x increase to reach the roadmap's end-state.

deep-dive
THE TIMELINE

Deconstructing the Roadmap: From Proto-Danksharding to Full Danksharding

The path to full Danksharding is a multi-year, multi-phase engineering project that teams consistently misread as a single, imminent event.

Proto-Danksharding (EIP-4844) is not scaling. It is a data availability (DA) cost reduction for L2s like Arbitrum and Optimism. The primary deliverable is cheaper blob data, not higher transaction throughput for the base layer.

Full Danksharding requires a new consensus. The current single proposer-builder model cannot scale to 64 data blobs. A shift to a proposer-builder-separator (PBS) architecture is a prerequisite, which itself depends on enshrined PBS.

The critical path is validator economics. Scaling to 1.3 MB per slot demands massive validator hardware upgrades. The timeline is gated by ensuring solo stakers remain viable, not just by protocol specifications.

Evidence: Post-EIP-4844, L2 transaction costs dropped ~90%, but Ethereum's own gas fees remain volatile. This proves the decoupling: L2s scale with cheaper data, while L1 capacity remains unchanged until full sharding.

ETHEREUM LAYER 2 ROADMAPS

The Scaling Timeline: Reality vs. Fantasy

Comparing the actual, verifiable state of major L2 scaling solutions against their original roadmaps and common misperceptions held by teams.

Key Metric / CapabilityThe 2021 Roadmap FantasyThe 2024 RealityThe 2026 Pragmatic Path

Time to Full Data Availability (DA) Security

Q4 2022

Q2 2025 (EIP-4844 Proto-Danksharding)

Post-Danksharding (TBD)

Cost per Tx (Target vs. Actual)

$0.01

$0.10 - $0.50 (Base, Optimism)

< $0.05 (with full blobs)

Time to Withdraw to L1 (Fast Exit)

< 1 hour

7 days (Optimistic Rollups) / ~1 hour (ZK Rollups w/ liquidity)

~1 hour (all major rollups)

Cross-Rollup Interop Native to Stack

Native by 2023

Bridging required (Across, LayerZero, Circle CCTP)

Native via shared sequencing & standardization

Developer Abstraction (Single Codebase)

Full EVM Equivalence

Minor differences (e.g., gas opcodes, block.number)

True EVM Equivalence achieved

Decentralized Sequencer Live

2023

False (StarkNet, zkSync Era testnets only)

True (All major rollups)

Prover Cost Passed to User

Negligible

$0.01 - $0.05 per ZK-proof batch

< $0.005 per batch

counter-argument
THE TIMELINE MISMATCH

Steelman: "But L2s Are Scaling Just Fine Now"

Current L2 scaling metrics mask a critical misalignment between infrastructure readiness and application demand timelines.

L2s solve yesterday's problem. Rollups like Arbitrum and Optimism process today's demand, but their capacity ceiling is a function of Ethereum's data availability. The next wave of consumer apps requires 100x more throughput than current L2s provide.

Application developers misread the roadmap. Teams building for 2025-2026 assume EIP-4844 and danksharding are live. The reality is a multi-year, phased rollout where full data sharding delivers capacity years after apps need it.

The bottleneck shifts to proving. Even with cheap data, generating ZK-proofs for mass adoption requires proving hardware and algorithms that don't exist at scale. zkSync and Starknet face this physics problem, not just a software one.

Evidence: Arbitrum processes ~10-15 TPS. A single credible on-chain game like Parallel or Illuvium would need 100+ TPS alone, saturating the chain and spiking fees before sharding is complete.

risk-analysis
STRATEGIC BLIND SPOTS

Consequences of Misreading the Timeline

Teams that misjudged Ethereum's scalability roadmap built for a future that never arrived, leading to stranded capital and architectural dead ends.

01

The Premature L2 Obsession

Betting on a multi-year 'rollup-centric' future before data availability was solved created fragile, expensive interim stacks. Teams over-invested in custom L2s when the endgame was always a unified, modular settlement layer with shared security.

  • Wasted Capital: Billions in VC funding and dev cycles sunk into soon-to-be-obsolete sequencer tech.
  • Fragmented Liquidity: Premature L2 proliferation created the very fragmentation rollups were meant to solve, benefiting bridges like LayerZero and Across.
  • User Abstraction Lag: The focus on L2s delayed critical R&D on account abstraction and intent-based architectures.
$5B+
Stranded TVL
2-3 Years
Roadmap Lag
02

The Appchain Fallacy

-90%
Composability
10x
Dev Complexity
03

Ignoring the Data Availability Bottleneck

Building L2s without a viable, scalable DA layer was building on sand. The multi-year wait for Ethereum Danksharding created a window for Celestia, EigenDA, and Avail to capture market share and define modular stack standards.

  • Vendor Lock-in: L2s that chose an external DA layer are now tied to its economic and governance model.
  • Centralization Pressure: High DA costs forced sequencers to run in permissioned, centralized modes to remain profitable.
  • Strategic Inflection: The DA layer, not the execution layer, became the true battleground for modular blockchain supremacy.
100x
DA Cost Delta
$1B+
Market Cap Created
04

The Monolithic Diversion

Doubling down on monolithic scaling (high-spec L1s) after Ethereum's merge and rollup roadmap was clear was a catastrophic misread. Chains like Solana succeeded despite this, but many others burned capital competing on raw throughput alone.

  • Security vs. Speed Trade-off: Monolithic chains often sacrifice decentralization (and thus credibly neutrality) for performance, a fatal flaw for institutional DeFi.
  • Innovation Sidelining: Focus on TPS distracted from breakthroughs in ZK-proof systems, verifiable compute, and intent-based design.
  • Ecosystem Drain: Failed to capture the developer momentum and liquidity network effects of the Ethereum L2 ecosystem.
>50
L1s Launched
<5
Survived
future-outlook
THE TIMELINE MISMATCH

The Realistic Outlook: 2025-2030

Ethereum's scalability roadmap is a multi-year, multi-layer evolution that most teams underestimate.

Full danksharding is 2027+. The current roadmap prioritizes data availability (EIP-4844) over execution. Teams building for a 'sharded' execution environment in 2025 are misreading the sequence. The immediate scaling is via Layer 2 rollups like Arbitrum and Optimism.

The scaling bottleneck shifts to provers. With data blobs cheap, the constraint moves from L1 cost to L2 proof generation speed and cost. This creates a new market for specialized zk-ASIC providers and shared sequencers like Espresso or Astria.

Monolithic L2s will fragment. The current model of a single, general-purpose rollup (Arbitrum One) is inefficient. The end-state is a network of application-specific L2s and L3s (e.g., a DEX chain, a gaming chain) settled to a base L2 for security.

Evidence: Starknet's Madara and Arbitrum Orbit already enable this fragmentation. The total addressable market for rollup frameworks (OP Stack, Arbitrum Orbit, Polygon CDK) will exceed the value of any single L2.

takeaways
ETHEREUM SCALABILITY TIMELINES

TL;DR for Protocol Architects

The roadmap is a multi-layered, multi-year puzzle. Misreading the sequence leads to fatal architectural bets.

01

The 'Full Danksharding' Mirage

Teams building for a 64-blob, 1.3 MB/s future are misaligned. Proto-Danksharding (EIP-4844) is the only relevant milestone for the next 2-3 years, enabling ~0.1-0.3 cent L2 transactions. Full sharding is a post-2027 optimization.

  • Key Benefit 1: Design for ~0.3 MB/s blob capacity, not 1.3 MB/s.
  • Key Benefit 2: Focus on blob data availability pricing models, not shard consensus.
2027+
Full Sharding
0.3 MB/s
Near-Term Cap
02

L2s Are The New Bottleneck

Ethereum's base layer scaling is ahead of schedule, but L2 execution layers (OP Stack, Arbitrum Nitro, zkSync Era) are now the critical path. Their sequencer centralization and proof/rollup latency create systemic risk.

  • Key Benefit 1: Architect for multi-sequencer or shared sequencer (Espresso, Astria) futures.
  • Key Benefit 2: Model costs based on L2 gas, not just L1 blob fees.
~3-12s
Rollup Latency
1-of-N
Sequencer Risk
03

The AppChain Fallacy

Launching a sovereign rollup or app-chain for 'scale' before 2025 is premature capital incineration. The interoperability and security tooling (EigenLayer AVS, AltLayer, Caldera) is still in infancy. Stay on a shared L2.

  • Key Benefit 1: Leverage existing L2 liquidity and tooling (Chainlink, The Graph).
  • Key Benefit 2: Defer sovereignty until cross-rollup messaging (Hyperlane, LayerZero) is cheap and proven.
$2M+
Setup Cost
High
Complexity Tax
04

Verkle Trees Change Everything

The EIP-6800 (Verkle Trees) upgrade, targeted for late 2025, is a silent killer for state-heavy protocols. It enables stateless clients and radically changes how state is accessed and proven. Architectures not designed for witness-based state access will break.

  • Key Benefit 1: Audit all state access patterns for witness compatibility.
  • Key Benefit 2: Prepare for a shift from Merkle-Patricia to Verkle proof systems.
~90%
Witness Size Drop
2025/26
Target
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