Tom Lee has pointed to a BlackRock report on Bitcoin while arguing that Ethereum could play a larger role in artificial intelligence systems, framing the network as a potential verification layer for AI-related activity. The argument links Bitcoin’s established position in digital assets with a separate use case centered on Ethereum’s programmable blockchain infrastructure.
Ethereum is widely known as a blockchain designed to support smart contracts, which are programs that can execute and record transactions according to predefined rules. In an AI context, verification can refer to recording data, model outputs, permissions, or other system actions in a way that is independently auditable. Public blockchains are often discussed as potential tools for creating such transparent records, though practical implementation can involve technical, cost, privacy, and scalability trade-offs.
Lee’s framing reflects a broader debate over whether blockchain networks will become important infrastructure for AI rather than simply assets for trading or value transfer. BlackRock, one of the world’s largest asset managers, has become a prominent participant in digital-asset markets through products tied to Bitcoin. The report referenced by Lee appears to have served as a starting point for his case that Ethereum could benefit if demand grows for verifiable AI systems.
