Grayscale Research’s head said the adoption of artificial intelligence (AI) will create demand that public blockchains are positioned to serve, naming Ethereum (ETH), Solana (SOL), Worldcoin (WLD), and Bittensor (TAO) as the networks tied to three emerging needs.
The blog identified agentic finance, verifiable record-keeping, and decentralized AI as the areas most likely to drive demand toward crypto rails.
Why Grayscale Sees AI and Crypto Converging
In the note, published on August 11, Grayscale Head of Research Zach Pandl argued that AI and public blockchains are complementary technologies. He said that traditional systems were not built for the demands AI is about to generate.
“AI adoption will increase demand for public blockchains as programmable financial infrastructure; a verifiable record layer for computation, identity, and reputation; and a foundation for open, user-owned AI ecosystems,” the note read.
Pandl noted that AI agents will need programmable wallets that hold and deploy capital without intermediaries. This activity would drive micropayments, instant cross-border settlement, and automated trading and risk management.
He pointed to Ethereum and Solana as the networks built for that kind of settlement.
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Identity and Decentralized AI Round Out the Thesis
The second demand area covers identity. As AI agents take on more decisions, firms will need stronger ways to verify their actions and trustworthiness.
This includes tracking which models, data, and rules influenced an agent’s decisions, verifying whether online accounts represent real people, and establishing reliable reputation records before agents handle sensitive tasks such as investments or purchases.
Pandl cited Worldcoin and its identity service as one way to tell humans apart from agents.
“Public blockchains—and applications built on them, such as Worldcoin’s identity service—can anchor these records in transparent, neutral infrastructure rather than place them under the control of a single corporation or government,” he wrote.
The third area targets the concentration of AI power among a few frontier labs and hyperscalers. Grayscale described Bittensor (TAO) as an open network that anyone can access, contribute to, and stake in.
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