On September 3, Etherealize—which describes itself as the Ethereum ecosystem’s institutional-grade product, business development, and marketing arm—announced a $40 million funding round led by Electric Capital and Paradigm, with direct participation from Vitalik Buterin and the Ethereum Foundation.
In essence, this investment reflects the Ethereum community’s strong support for professionalization and institutionalization, while signaling a clear shift in its growth logic—from pure scaling to application-layer expansion and integration.
Looking back—from the 2020–2021 DeFi boom to the CeDeFi phase and today’s rapid integration with TradFi—Ethereum’s evolution has followed a survival-of-the-fittest path.
It is moving from its infrastructure-building stage into a period of application expansion and ecosystem reshaping, with a trillion-dollar “second curve” now emerging.
1. After Scaling: A New Growth Engine
Until now, Ethereum’s dominant theme has been scaling.
With the maturation of L2 rollups such as Arbitrum and Optimism, and ongoing protocol upgrades like Danksharding and EIP-4844, Ethereum’s base-level computing capacity and throughput have improved significantly. The L2 ecosystem, in particular, now provides a robust execution-layer foundation.
After years of exploration, Ethereum has become usable. The harder question is next: who will use it—and how?
Ethereum now faces its toughest challenges yet. Competing L1s such as Solana and Sui are gaining ground with faster and cheaper performance, while Web2 and TradFi giants—including Visa, Stripe, PayPal, Robinhood, and Fidelity—are launching their own chains or integrating decentralized settlement to complete their Crypto/TradFi stacks.
Over the past five years, Ethereum has been an undeniable hotbed of innovation—a composable on-chain finance lab that powered Web3 experiments from DeFi and NFTs to DAOs, GameFi, and SocialFi.
But most of that innovation targeted crypto-native users. Capital circulated on-chain, and protocols stacked on-chain, while real-world assets, institutions, and mainstream users largely stayed on the sidelines.
Web3 is logically coherent, yet it still struggles to meet real-world financial needs. In this landscape, technical leadership alone is no longer a moat. To keep growing, Ethereum must answer a larger question: how to break Web3’s boundaries and become the global base settlement layer for assets?
New growth is now arriving from outside Web3—driven by AI’s compute demands and TradFi’s settlement needs, pushing Ethereum into a new cycle:
RWA tokenization is leading the way. Banks, brokers, and asset managers are moving bonds, equities, and fund shares on-chain to enable real-time clearing and settlement. (Further reading: “Ethereum’s New Role: From World Computer to World Ledger”)
Meanwhile, as AI models and data become increasingly concentrated, the AI industry needs a neutral, credible settlement layer for model and data provenance, decentralized computation verification, and protection against centralized risk. In short, AI needs a global verifiable compute layer to price trust—and blockchains are naturally suited for that role.
To serve both TradFi and AI, Ethereum must now advance on three fronts: performance, privacy, and modularity.
2. New Roadmap: zkVM, AI, and Privacy in Parallel
To address these emerging demands, the Ethereum community and Foundation are pursuing several strategic directions.
zkVM is more than an L2 scaling extension—it represents a fundamental redesign of the Ethereum mainnet itself. The Foundation is exploring an architecture where zero-knowledge proofs (ZKPs) replace redundant re-execution for transaction verification, dramatically improving throughput and security.
The key shift lies in the trust model. Traditional Ethereum requires nodes to re-execute transactions to reach consensus. A zkVM allows verifiers to check proofs instead, drastically reducing synchronization and execution costs.
Under this architecture, the Ethereum mainnet can evolve into a compute-settlement layer focused on verifying ZK proofs and anchoring finality, while L2s act as high-throughput execution layers. Ethereum thus transitions from a blockchain into a global verifiable compute layer.
Last month, Vitalik Buterin highlighted and praised a proposal for a minimal zkVM optimized for XMSS aggregation and recursion. Compared with Cairo, leanVM leverages a four-instruction ISA, multilinear STARKs, and LogUp lookups to minimize commitment costs.
Another clear signal came on September 15, when the Ethereum Foundation formed the dAI team to build a decentralized AI ecosystem—marking Ethereum’s shift from being passively used by AI to actively integrating with AI.
The team’s focus includes setting standards, incentives, and governance for on-chain AI, covering areas such as:
- Model credibility: ensuring transparent training data and ZK-verified inference integrity.
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New standards:
- ERC-8004 — a composable, accessible decentralized AI infrastructure layer enabling developers to build and integrate AI model services easily.
- x402 — a unified on-chain payment and settlement standard supporting efficient, atomic micropayments for accessing AI models, data storage, or decentralized compute.
Through these efforts, Ethereum aims to define the base protocols and settlement mechanics for decentralized AI—positioning itself as the value-clearing and trust layer of the decentralized AI era.
To onboard multi-trillion-dollar assets, Ethereum must reconcile privacy and compliance. Its privacy strategy is becoming layered to serve distinct needs:
- Institutional privacy & compliance: on L2/L3, compliant-privacy solutions let institutions trade and settle on-chain while selectively disclosing auditable records to regulators through ZK proofs or permissioned controls—protecting trade secrets while meeting oversight.
- User privacy: account abstraction (AA) and privacy-enhanced L2s safeguard users against MEV attacks and data leakage, embedding protection at the protocol level.
Together, these three tracks—zkVM (generality), dAI/new standards (application frontier), and privacy (compliance)—form Ethereum’s core strategy for the “second curve” serving AI and TradFi.
3. If the “Second Curve” Leap Succeeds
Just as Ethereum evolved from the DeFi wave (2020–2021) through CeDeFi and now into TradFi integration, its transformation of global finance continues through adaptation.
This super-evolution will not be easy—but if successful, it will fundamentally reshape Ethereum’s ecosystem and global standing.
- From app platform to global infrastructure. Ethereum upgrades from a Web3-native “application platform” to a compute and financial infrastructure platform for mainstream economies—becoming the de facto global value-settlement layer.
- High-value flows concentrate on Ethereum. Institutional RWA, AI model verification, and decentralized data markets will deploy directly on Ethereum or zk-native stacks, creating deep liquidity and durable trust.
- L2/Rollups as a collaborative network. No longer isolated mini-L1s, they will tightly interlink with the mainnet zk-layer, each specializing in unique execution environments (EVM, zkVM, privacy-customized). Sub-ecosystems such as stablecoins, privacy protocols, data oracles, and AI model markets will rise as essential middleware.
Overall, Ethereum’s emerging “second curve” marks its leap from a crypto compute layer to a global trust and settlement layer—less a speculator’s playground, more an essential financial primitive of the world’s economic infrastructure.
AI needs Ethereum’s neutral credibility. TradFi needs its efficient, compliant rails.The combination of zkVM, the AI initiative, and a layered privacy roadmap represents Ethereum’s answer to two trillion-dollar markets.
The best chapter of Ethereum’s story is still ahead.