Recently, a founder of a leading cryptocurrency exchange proposed a thought-provoking idea at an industry conference: within the next 24 months, the cryptocurrency space will experience a fundamental wealth transfer. The key is not the price movement of tokens, but the changing identities of participants.

According to this logic, the next wave of large-scale crypto users will likely not be retail investors or institutional investors, but thousands of AI Agents. These intelligent agents will autonomously execute trades, arbitrage, settle payments, and even establish independent business entities. It’s easy to imagine that in the future financial world, human investors will gradually shift from the main role to the background.

However, behind this optimistic vision lies a difficult problem that the industry has not fully addressed—the decision-making process of AI is a black box. When AI controls the flow of funds but lacks traceable audit records, the risk of losing control is greatly amplified. If the system malfunctions, the entire chain could collapse in an instant.

For this reason, some teams are working from the ground up to solve this problem. By introducing on-chain verification mechanisms and real-time auditing systems, every transaction decision made by AI can be recorded and traced. For example, using zero-knowledge proof technology to ensure immutability, or optimizing verification processes to significantly reduce the costs and delays of high-frequency trading. This way, the AI financial ecosystem can enjoy the benefits of automation while maintaining sufficient transparency and security.

From a broader perspective, whoever can first improve this foundational infrastructure will hold the power to define new rules. In this wealth transfer, infrastructure builders may have opportunities comparable to application layer participants.