AI and Blockchain: Grayscale Analyst Predicts a New Wave of Demand for Public Networks
The rapid development of artificial intelligence is opening up new horizons for public blockchains. This is not only about financial transactions, but also about creating verifiable digital footprints, which is fundamentally changing the landscape of decentralized technologies. My analysis shows that the synergy between AI and blockchain will become one of the key trends in the coming years.
Payments and programmable wallets
The most obvious growth driver is payment infrastructure. Digital assistants acting on behalf of users require programmable wallets with the ability to self-custody and spend funds. This creates demand for micropayments, cross-border settlements, and automated trading. In this context, networks such as Ethereum and Solana look the most promising: their open ledgers ensure round-the-clock operation of programmable transactions, which is critical for autonomous agents.
Verification and reputation
The second important area is the creation of verifiable records of AI operations. As algorithms are delegated increasingly responsible tasks, companies will need to record which models and data were used in decision-making. A public blockchain can become an independent registry of such information, ensuring transparency and accountability. In addition, this technology can be used to identify both humans and digital agents, as well as to store their reputation. An example here is the World project, which is already integrating such mechanisms.
Decentralization of computing
The third factor is the concentration of computing resources and control over AI in the hands of a small group of corporations. Decentralized networks offer an alternative: participants can provide their resources and participate in infrastructure governance. This not only reduces the risks of monopolization, but also creates new economic models.
However, one should not idealize this combination. There are reasonable doubts that all claims about the benefits of blockchain for AI are backed by evidence. For example, a record in the ledger can confirm the existence of data at a certain point in time, but does not guarantee the correctness of the model's operation itself. This is an important nuance that requires further research.
My expert assessment: despite skepticism, the potential for integrating AI and blockchain is enormous. The key will be not just a technical merger, but the creation of real business models where verifiability and automation bring measurable value. It is already clear that AI agents can become a driver for crypto payments, and blockchain can serve as the basis for settlements between autonomous programs without human intervention. This trend will only intensify.