The emergence of AI agents executing financial transactions has given rise to 'agentic finance,' a concept where autonomous systems handle financial actions within predefined parameters. This evolution marks a significant shift from traditional advisory roles to execution roles, necessitating a financial backend that can support machine-driven economies. Cryptocurrency, with its programmable money, instant global settlement, and permissionless access, is increasingly becoming the infrastructure for these autonomous systems. Early implementations of AI agents are visible in machine-to-machine payments, autonomous commerce, and crypto-native environments, driving demand for new investable categories and crypto itself.
However, despite the momentum, there are risks and limitations, particularly around security, authorisation, liability, and regulatory treatment, which must be addressed to build trust and ensure widespread adoption. Over the next year, the growth of agent-driven transaction volume, emergence of agent-native wallets, and regulatory clarity will be key signals in shaping the future of AI agents in finance.