
Ethereum’s scaling strategy in recent years has centered on Rollups and the data availability layer. As Layer 2 becomes the primary venue for transaction processing, Layer 1 increasingly focuses on settlement and security.
Yet, several challenges remain:
In this context, Vitalik’s approach to scaling is not merely about increasing block size—it represents a fundamental structural upgrade.
The short-term roadmap targets three main areas:
The central objective is not simply to “increase block size,” but to maximize slot efficiency.
Currently, block verification uses only a small fraction of the slot’s available time. Excessive verification times can destabilize consensus. The ePBS design extends block verification windows, creating safer conditions for raising gas limits.
This results in:
It’s important to note that these gains are about “unlocking efficiency,” rather than expanding capacity by orders of magnitude.
Multidimensional gas is the most pivotal institutional innovation in this upgrade cycle. The current EVM operates with a single gas dimension, yet blockchain workloads consume multiple resources:
Unified pricing for these resources distorts true costs. Vitalik’s proposal is as follows: In the first phase, separate “state creation” costs from execution costs. For example, SSTORE’s zero→nonzero operation will require additional state-creation gas.
Key points include:
This signals a clear policy direction: Execution can scale, but state must be restrained. Over the long term, multidimensional gas will allow each resource to have its own floating price, leading to profound effects:
This model mirrors a multi-resource marketplace, rather than a single commodity market.
For data scaling, Vitalik notes PeerDAS’s long-term target of around 8MB/sec throughput. While this figure may seem conservative, it establishes clear boundaries:
Going forward, block data will be written directly to blobs, aligning with the ZK-SNARK system so nodes can verify state without downloading the full history.
This creates a key structure:
Together, these mechanisms can theoretically enable lightweight node verification even in “ultra-scaled” states.
ZK-EVM adoption is not a one-off replacement, but a phased trust process.
The final phase introduces a 3-of-5 multi-proof system—each block must include three proofs from five different proof systems. Fundamentally, this shifts from “execution verification” to “proof verification.”
At first glance, scaling implies higher TPS. But the deeper transformation includes:
If ZK-EVM matures, Layer 1 could theoretically scale execution without sacrificing decentralization.
The real shift is: Verification costs fall, not execution costs. This represents a fundamentally different philosophy of scaling.
ETH’s price is driven by three factors:
In the short term, scaling plans shape market expectations more than immediate revenue.
In the medium term, if gas limits rise and demand persists:
Long-term effects are more significant: If verification costs decrease and network security improves, ETH’s “systemic risk premium” may drop. Lower risk premiums generally push valuation anchors higher.
This is gradual repricing, not sentiment-driven volatility.
Every technology upgrade carries uncertainty.
Moreover, if other public chains choose simpler scaling routes, market understanding and patience for complex structures will become a key variable.
This round of scaling is not simply about performance gains—it aims to resolve three persistent contradictions for Ethereum:
If multidimensional gas and ZK-EVM are successfully implemented, Ethereum will shift from an “execution-verification chain” to a “proof-verification chain.” This marks a paradigm upgrade.
Short-term market volatility may not capture this change, but long-term value depends on structural stability. If the system operates smoothly, ETH could evolve from a smart contract platform to the foundational settlement layer for global verifiable computation. The real impact is not in TPS figures, but in whether Ethereum successfully completes this shift in the verification paradigm.





