Zach Pandl, head of Grayscale's research division, announced the formation of a new role for public blockchains in the development of artificial intelligence. In his research, the analyst identified three key areas of interaction between these technologies. The first area was finance with the participation of autonomous AI agents. Pandl called the creation of verifiable records of calculations and digital identity the second direction. The third area is decentralized alternatives to centralized AI platforms. According to the researcher, the spread of artificial intelligence will create a fundamentally new demand for open blockchain networks. The infrastructure for these scenarios can be provided by four specific cryptocurrency networks. Ethereum is considered as a settlement infrastructure for financial transactions of AI agents. Solana is suitable for fast blockchain calculations in an emerging agent-based economy. The World project will provide a verifiable digital identity for network users. Bittensor is a decentralized alternative to centralized technology platforms.

Artificial intelligence and public blockchains are complementary technologies, according to the expert. The traditional financial infrastructure may face new demands as AI spreads. Programmable blockchain networks better match the capabilities of autonomous digital assistants. The researcher named financial transactions involving AI agents as the most obvious example. Such systems will be able to act on behalf of users in the presence of programmable wallets. These wallets must store and use funds without constant human mediation. The activity of AI agents can significantly stimulate demand for micropayments on the network. Instant cross-border settlements will also receive an additional development boost. Automated trading and risk management will become important areas of application. Ethereum and Solana are suitable for such scenarios as a reliable settlement infrastructure. The development of agent-based AI will also require ways to verify the actions of autonomous agents themselves. Companies will need to establish specific models and rules for AI decision-making.

Blockchain can become a separate layer for the identity and reputation of digital agents. This is especially important when transferring the right to perform high-risk financial actions to an AI. An agent may need a proven reputation before investing on behalf of a person. The researcher drew attention to the problem of distinguishing between humans and AI on the Internet. Social platforms will be able to verify that an account belongs to a unique person. The infrastructure of the World project can be used to confirm human identity. This network will help differentiate between ordinary people and autonomous AI agents in the digital space. Grayscale named the development of decentralized artificial intelligence as the third direction. The current development of AI concentrates capital and computing resources in a small number of companies. This raises questions about governance, bias, and possible censorship of AI systems. An alternative would be open, decentralized networks with equal access for all participants. Users will be able to contribute and own a share of such an ecosystem. The Bittensor project with the TAO token has become a good example of such a decentralized network. However, this network has previously been at the center of a discussion about the level of its real decentralization. One of the key developers announced his departure from the project and accused the management of centralization. Against the background of this conflict, the capitalization of the TAO token decreased by about eight hundred and twenty million dollars.