
Franklin Templeton says autonomous AI agents may rely on blockchain rails for machine-to-machine payments, settlements and identity, potentially creating new demand for crypto infrastructure as software-driven commerce develops.
Franklin Templeton Digital Assets said agentic artificial intelligence is a potential “killer use case” for blockchain and crypto, with Sandy Kaul arguing that autonomous software agents could increase demand for blockchain protocols that handle machine-to-machine payments and settlements without human involvement. The firm said AI is moving beyond prompt-based tools toward systems that can execute multi-step tasks, interact with external applications and manage workflows autonomously, a shift that may require payment infrastructure built for programmable micropayments, faster settlement and digital identity verification. Franklin Templeton highlighted emerging standards including Visa’s Machine Payments Protocol and Coinbase’s x402 protocol, and said wider use of agentic AI could eventually increase demand for the native cryptocurrencies that power blockchain networks. The report stops short of making price predictions, instead framing blockchain as infrastructure that could support autonomous digital commerce while acknowledging that large-scale adoption remains early and that it is still uncertain whether decentralized networks become the dominant settlement layer.