Wall Street Sees Blockchain as Trust Infrastructure for Agentic AI Finance

As the era of agentic AI — systems that can make decisions and act without human intervention — takes hold, blockchain is emerging as a core layer of trust infrastructure.

Forbes reported on April 16 that major global financial institutions view blockchain as a key execution layer for agentic AI in finance. In a recent shareholder letter, JPMorgan Chase & Co. Chief Executive Officer Jamie Dimon wrote that blockchain is no longer in the experimental stage and has become competitive infrastructure reshaping financial services.

Agentic AI can improve efficiency across finance, including lending, payments and risk management. But it also carries risks tied to data misuse and excessive autonomy. Blockchain offers one way to address the limitations of AI's so-called black box by recording an AI agent's activities, transactions and decision-making in a tamper-resistant format. By anchoring data on-chain, financial firms can verify whether inputs were altered and trace outputs, helping them meet strict audit and regulatory requirements.

Blockchain can also address the identity and authentication challenges involved in allowing AI agents to hold assets and execute transactions on their own. Blockchain-based frameworks such as decentralized identifiers, or DIDs, and decentralized autonomous organizations, or DAOs, can provide AI agents with persistent, auditable identities.

From a policy standpoint, blockchain adoption is also seen as essential because the traceability, accountability and enforceability required by regulators can be encoded into blockchain governance structures. One industry official said the pace of innovation in agentic AI is outstripping regulators' ability to keep up. Blockchain will become the core trust layer that forces AI to operate within fiduciary duties and regulatory boundaries, the person added.