Pro
Proof of Intelligence: The Race for AI-Native Chains
Key Insights
- AI-native L1s aim to rethink blockchain architecture by aligning it with the flexible, non-deterministic nature of AI workloads, rather than simply retrofitting general-purpose chains.
- Protocols in this field introduce compute fee markets, AI-native cryptography, and data curation marketplaces to enable more equitable and verifiable AI ecosystems.
- These chains strive to create full-stack AI operating systems that offer modular components such as Data Hubs, Model Hubs, Compute Hubs, and Agent Hubs with built-in incentives and provenance guarantees.
- The long-term success of AI-native L1s hinges on delivering specific, high-value workflows rather than broad infrastructure alone.
Introduction
In 2024, smart contract platforms raised another $865 million. That’s on top of a multibillion-dollar pileup of infrastructure plays that already promised scalability, modularity, and general-purpose compute. So, the natural question arises: Do we really need a new breed of L1s purpose-built for AI?
Let us know what you loved about the report, what may be missing, or share any other feedback by filling out this short form. All responses are subject to our Privacy Policy and Terms of Service.
Prior to joining Messari, Andrew was an equity trader at a proprietary trading firm. His primary interests are understanding market dynamics, riding trends, and finding the occasional onchain winner.