"There is a significant chance that ... AI applications will be crypto's raison d'etre," fund managers VanEck's Matthew Sigel and Patrick Bush said in a note.
Some of the top blockchain projects currently include the Render Network, a blockchain platform for peer-to-peer sharing of AI-generated graphics; Fetch.AI, a platform for building AI apps; and SingularityNET, an AI services marketplace.
"Investors are starting to realize that if you want real value, you need products that are uncorrelated to the crypto market," said Ahmad Shadid, founder of AI-focused blockchain startup io.net.
AI-linked blockchain products include various services, such as payments, trading models, machine-generated non-fungible tokens, and blockchain-based marketplaces for AI applications where users pay developers in cryptocurrency.
Investment manager VanEck has predicted that revenue from AI crypto projects could reach $10.2 billion by 2030 in the base case and over $51 billion in the bullish scenario.
VanEck pointed to using crypto tokens as rewards, developing physical computation infrastructure, data verification, and transparency to prove digital ownership as primary areas where blockchain technology lends real-world value to AI development.
Offering crypto tokens as incentives allows quick scalability, said iOS Shadid.
His company plans to launch a token later this year.
"The reason we can scale fast is the token we have coming out," he added. "The token incentivizes owners of physical infrastructure to bring their computers onto our network."
Yet, just as with the AI boom, picking winners and losers could be perilous.
"We're still in the very early stages of AI networks integrating with blockchain-based networks, and the utility of many tokens is still very uncertain," Levin cautioned.