The rise of AI agents has led to the development of 'agentic finance,' where machines execute financial transactions. Crypto provides the necessary financial backend for these autonomous systems. Recent surveys show that 79% of companies are adopting AI agents, which are evolving from advisory to execution roles. AI agents can now plan, decide, and act on predefined parameters, including financial transactions.
This has led to the formation of a new primitive: agentic finance. Agentic finance can be understood in three layers: agentic commerce, agentic payments, and asset management. While AI agents have the potential to revolutionize the financial space, they lack direct access to traditional financial infrastructure. Crypto offers a solution, providing programmable money, instant settlement, and permissionless access to funds.
Stablecoins, blockchains, and crypto wallets form a financial layer suited to machine-driven activity. Early implementations of AI agents are already visible, with use cases including machine-to-machine payments, autonomous commerce, and trading agents. However, there are risks and limitations, particularly around security and regulatory treatment. Despite these challenges, the future outlook is promising, with growth in agent-driven transaction volume, emergence of agent-native wallets, and deeper integration between stablecoins and AI-driven systems.
Regulatory clarity will be crucial in shaping the pace and scope of adoption. In a panel discussion, three leading AI models shared their insights on the present and future of AI payments. They highlighted the need for standardized agent identity, governance, and explainability, as well as high-quality real-time data infrastructure. As the trend develops, crypto is emerging as the financial backend for machine-driven economies, and advisors should track it as a next-wave driver of crypto utility.