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From narrative play to coding, after the L2 transaction fees dropped below 1 cent, what does Ethereum rely on to make money without "selling Gas"?

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3 hours ago
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Author: Max.S

Once, Ethereum was the narrative engine of the Web3 world. From the grand vision of the "Merge" to the myth of "ultrasound money" brought by the EIP-1559 burn mechanism, every key node was accompanied by a carnival of consensus and surging valuations. However, as we step into 2026, the sky over Ethereum has changed.

Not radical dreams anymore, but calm engineering.

With the Ethereum Foundation recently updating its 2026 protocol priorities, a clear signal has been released: Scale, Improve UX, Harden the L1 have become the three mainlines. This shift is less of a proactive strategic adjustment and more of a choice for "engineered survival" under competitive and real-world pressures. Industry competition is forcing this behemoth to shift from "telling stories" to "doing engineering," moving from "narrative-driven growth" to "engineering-driven survival."

Looking back at the development history of Ethereum, from the ICO era's smart contracts, to DeFi Summer, and then to the transition to PoS and the deflationary narrative, each leap was accompanied by a strong market narrative capability. However, as we enter 2026, the marginal utility of narrative is decreasing, replaced by cold data metrics and reconstruction of underlying architectures.

The most iconic engineering leap in the roadmap is the forthcoming Glamsterdam hard fork slated for mid-year. This upgrade directly addresses the long-standing pain points in Ethereum's mainnet performance, with two core indicators being particularly critical: first, raising the gas limit on the mainnet from the previous 60 million to 200 million; second, formally introducing parallel execution architecture on the mainnet.

For a long time, Ethereum's EVM adopted a single-threaded serial processing model. This model has advantages in ensuring state consistency, but becomes a fatal bottleneck in high-concurrency scenarios. The introduction of parallel execution means that Ethereum is transitioning from a "single-lane" to a "multi-lane highway."

Through block-level access lists, nodes can predict which transactions do not involve state conflicts, allowing multiple transactions to be processed simultaneously. With the gas limit raised to 200 million, the computational capacity and transaction volume that each block can accommodate will exhibit exponential growth.

But this does not come without cost. Raising the gas limit directly challenges Ethereum's long-held bottom line of "full node democratization." State expansion will accelerate, and the requirements for node hardware storage and network bandwidth will increase sharply. To hedge this risk, the Ethereum engineering team plans to push about 10% of validators from "re-executing all transactions" to "validating zero-knowledge proofs" within the year. This is known as "SNARKing the L1," which not only significantly lowers the hardware threshold for full nodes but marks a watershed moment in Ethereum's evolution from "repetitive labor" to "intelligent verification." This means that the underlying computation model of Ethereum is undergoing a qualitative change, outsourcing or pre-positioning heavy computations, gradually stripping L1 of the burden of complex execution layers; this represents a purely engineering compromise and advancement.

Performance anxiety and Solana Alpenglow's dimensional strike

Ethereum's deep architectural changes are largely driven by the dimensional strikes from competitors. In 2026, the performance battle in the public chain arena has become intense. Solana, with its Alpenglow upgrade, has completely abandoned the previous Proof of History (PoH) and Tower BFT consensus mechanisms, opting instead for a new Votor and Rotor architecture.

The direct result of this underlying reconstruction is that Solana's transaction finality has been reduced from 12.8 seconds to under 150 milliseconds. This is a highly disruptive metric. A delay of 150 milliseconds is already within the response range of traditional Web2 internet infrastructure (such as Google Search or Visa payment networks). For high-frequency trading (HFT), full-chain derivatives exchanges, and real-time payment applications that are highly sensitive to latency, this presents a fatal attraction.

In contrast, although Ethereum's Glamsterdam upgrade and the subsequent Heze-Bogota fork aim to enhance TPS and censorship resistance, its modular architecture is inherently at a disadvantage in terms of cross-chain composability and latency. Although Ethereum currently has a block time of 12 seconds, true finality requires several minutes. This architecture, while stable for settling high-value, low-frequency assets, appears overly cumbersome in the face of consumer-grade applications targeting a massive audience. Ethereum's performance anxiety is fundamentally a route dispute between monolithic architecture and modular architecture in the technological explosion of 2026.

If Solana's relentless pressure is an external threat, then Ethereum also faces the internal paradox brought by its own strategy – the "L2 paradox."

With the rollout of the Pectra and Fusaka upgrades, as well as the maturity of PeerDAS technology, Ethereum's Rollup-centered scaling strategy has achieved significant engineering victories. The data availability throughput of L2 has increased several-fold, and the capacity of data blobs continues to expand. The direct result of this is that L2 transaction fees have plummeted to as low as $0.001 or even lower.

From the perspective of user experience, this is a tremendous success, fully aligned with the "Improve UX" theme of the 2026 roadmap. Native account abstraction and intent frameworks are becoming widespread, effectively hiding complex on-chain interactions behind seamless wallet operations.

However, this raises a sharp question: when users enjoy a $0.001 and smooth transaction experience on L2, do they really still care what consensus mechanism the underlying Ethereum mainnet adopts? The "decentralized orthodoxy" that the Ethereum community takes pride in, with thousands of independent validation nodes making up the censorship-resistant network, is turning into an invisible, abstracted backend database in the eyes of the vast majority of end users.

When the application's execution fully migrates to Arbitrum, Base, or ZKsync, and the mainnet serves merely as a validation layer for data availability and state roots, Ethereum not only loses direct contact with C-end users but also faces risks of liquidity fragmentation and application layer hollowing out. This is not only a decoupling of technological architecture but also a decoupling of brand recognition and user mentality.

The value capture method of ETH has changed from "selling gas" to "selling security settlement services."

The evolution of the technical roadmap will ultimately reflect in the asset pricing models. The various transformations of Ethereum are fundamentally reshaping the logic of ETH value capture.

For most of the time from 2021 to 2024, the value support for ETH mainly relied on the narrative of a "world computer" and the gas fee burn mechanism brought about by EIP-1559. The higher the on-chain activity, the more ETH is burned, and the stronger the deflationary expectation of "ultrasound money." This model is essentially a C-end retail logic – Ethereum is "selling gas."

But as we enter 2026, the situation has dramatically changed. With the irreversible migration of execution layer activities to L2, the gas consumption of the mainnet has significantly decreased. Even though L2 needs to pay data availability (DA) fees to L1, in the context of continuously expanding blob space, this portion of revenue is far from enough to fill the gap left by the loss of L1 execution layer transaction fees. The burn rate of ETH has significantly declined, and even during low periods, it has returned to slight inflation, putting traditional deflationary expectations to a severe test.

From the perspective of quantitative finance's valuation models, the DCF (discounted cash flow) model of ETH is undergoing a rewrite. Ethereum is transitioning from a high-margin computing platform aimed at the retail side to a low-margin, high-certainty "security settlement layer" aimed at the B-end (L2 or even L3). Its new business model is no longer "selling gas," but rather "selling economic security" and "censorship-resistant finality."

In this paradigm, the yield structure of ETH as a currency asset is changing. The implementation of ePBS (protocol-level proposer-builder separation) will reconstruct the MEV supply chain, making the distribution of MEV rewards across the validator network smoother and more predictable.

Staking and restaking will provide benchmark yields that will replace gas burning as the core supporting ETH valuation. This shift makes ETH's asset attributes increasingly align with traditional government bonds or institutional-level clearing assets. It no longer requires flashy meme coin trading to contribute to transaction fees but relies on its massive staking capital to provide immutable trust endorsement for the entire decentralized finance empire.

Ethereum in 2026 no longer attempts to convince the world through narratives but proves itself through engineering capabilities.

This transformation is not only Ethereum's "engineered survival" under competitive and real-world pressures but also a redefinition of "what ETH is." When users no longer care about the underlying L1, and when the value capture model of ETH shifts from gas sales to security and settlement, ETH must find a new narrative to establish its position in the digital world.

Whether Ethereum can successfully transform, and whether ETH can capture the value of its ecological prosperity will be crucial challenges that quantitative finance practitioners and all financial enthusiasts must closely watch in the coming years.

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