AI Revolution: Why Artificial Intelligence Will Become a Catalyst for the Growth of Public Blockchains
The rapid development of artificial intelligence opens up unprecedented opportunities for public blockchains. This is not just about a trendy integration, but about the formation of fundamentally new market niches—from autonomous transactions by AI agents to the creation of verifiable digital registries. My analysis shows that this trend could radically reshape the demand structure for decentralized networks in the coming years.
Next-Generation Payment Infrastructure
The most obvious growth driver is payment operations. Digital assistants performing tasks on behalf of users require programmable wallets with the ability to self-custody and spend funds. This creates demand for infrastructure for micropayments, cross-border settlements, and automated trading. Ethereum and Solana are of particular interest here: their open ledgers ensure round-the-clock operation of programmable transactions without intermediaries, which is critical for autonomous systems.
Transparency and Trust in AI
The second key direction is creating verifiable records of algorithm operations. As AI is delegated an increasing number of business tasks, companies will need to record which models and data were used in decision-making. A public blockchain can serve as an independent registry for such information, ensuring auditability and accountability. Moreover, this technology can be applied to identify both humans and digital agents, as well as to store their reputation metrics. A notable example is the World project, which is already implementing such mechanisms.
Decentralization of Computing Power
The third factor relates to the concentration of resources in the hands of a small group of tech giants. Decentralized networks offer an alternative: participants can provide computing power, sharing ownership and control of the infrastructure. This not only reduces the risks of monopolization but also creates new economic models.
However, a healthy dose of skepticism is warranted. In June, researchers from the IC3 consortium rightly noted that many arguments about blockchain's benefits for AI require more compelling evidence. A record in a distributed ledger can confirm the existence of data at a specific point in time, but it does not guarantee the correctness of the model's operation itself.
Notably, major financial institutions already see the potential of this combination—in July, Franklin Templeton analysts called AI agents one of the key drivers of crypto payments, emphasizing the possibility of settlements between autonomous programs without human involvement.
My conclusion: the synergy between AI and blockchain is not a speculative topic but a fundamental shift in the architecture of the digital economy. However, investors should closely monitor real implementation cases rather than just loud announcements—the market has not yet passed the phase of testing practical effectiveness.