Ethereum is putting censorship resistance, privacy, and security at the core of its next phase, as the Ethereum Foundation (EF) rolls out a development framework called CROPS aimed at preserving user control in an AI-driven future.
CROPS framework shapes Ethereum’s roadmap
The CROPS model, introduced in the EF Mandate on March 13, centers on censorship resistance, capture resistance, open source, privacy, and security. It is designed to strengthen user self-sovereignty and reduce reliance on centralized infrastructure as artificial intelligence becomes more integrated with blockchain systems.
Under this approach, EF is directing funding and development toward privacy-enhancing technologies, stronger protocol resilience, and expanded audit support to make security reviews more accessible to smaller developers. The goal is to ensure that assets, identities, and transactions remain under individual control rather than dependent on intermediaries.
Vitalik Buterin has emphasized that the foundation should remain lean and focused on areas where decentralized communities or private companies are unlikely to deliver reliable outcomes. Without relying on income from staking or transaction fees, EF is prioritizing long-term sustainability and autonomy across the network.
Funding shifts toward core infrastructure
This strategic pivot is already visible in capital allocation. EF’s Ecosystem Support Program deployed about $9.86 million in the first quarter of 2026, largely targeting core infrastructure such as zero-knowledge proofs, advanced cryptography, and security audits.
Backed projects are working on technologies including formal verification of zkVMs, cryptographic hash analysis tools like Poseidon, and validator security libraries. The funding pattern highlights a clear priority: privacy-focused and verifiable computation tools that align with the CROPS principles.
AI integration raises new challenges
Ethereum’s roadmap increasingly reflects the overlap between blockchain and AI. Buterin has pointed to emerging “CROPS AI” concepts, including AI models capable of running locally on consumer hardware. Systems like DeepSeek V4 demonstrate this shift, operating with reduced memory requirements while maintaining usable performance across devices from Apple to AMD.
The broader objective is to enable AI to function without relying on centralized cloud services, addressing a shared problem between AI and blockchain: how to perform computation remotely without exposing sensitive data or control to third parties.
Buterin has proposed a “human + LLM 2-of-2” model, where any action initiated by an AI agent must be explicitly approved by the user. While AI can assist with tasks such as scam detection, he has warned against granting it autonomous control over funds.
Wallets and user interfaces set to evolve
As AI agents begin executing on-chain actions like transactions and asset management, CROPS envisions a shift in how users interact with Ethereum. Digital wallets are expected to evolve into control hubs that verify permissions, assess transaction risks, and manage data flows between decentralized applications and AI systems.
Communication with the blockchain would move toward encrypted, auditable, and non-custodial channels, reducing dependence on centralized access points such as RPC providers.
This push comes as Ethereum’s decentralization profile remains uneven. While the network now has over one million validators, concerns persist around block production concentration and reliance on specific infrastructure providers. CROPS directly targets these weaknesses by encouraging more distributed alternatives.
Network growth supports long-term vision
The push for stronger infrastructure is supported by improving network economics. Following the proto-danksharding upgrade, Layer 2 transaction fees have dropped to between $0.01 and $0.05, with these networks now processing more daily transactions than the main chain.
As of March 2026, Ethereum handles more than two million transactions per day, reflecting growing usage and scalability.
Meanwhile, upcoming upgrades such as Glamsterdam and Hegota aim to introduce features like parallel execution, increasing throughput and strengthening the settlement layer needed for complex, privacy-preserving applications.
Leaner foundation, long-term focus
EF is also adjusting its internal strategy, maintaining a smaller operational footprint and reducing treasury sales to extend its financial runway. This aligns with its narrower focus on high-impact protocol development and long-term network health.
CROPS ultimately serves as both a technical guide and an operational framework. As AI takes on a larger role in financial and identity systems, Ethereum is positioning itself to ensure that control remains with users rather than centralized platforms.
Explore how AI already complements blockchain privacy and control in our guide on AI–blockchain integration for everyday users.
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