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Franklin Templeton<\/b> says <\/span>agentic AI<\/b> could become the \u201ckiller use case\u201d that blockchain and crypto have been searching for over many years, as autonomous AI agents begin to require instant, programmable, and verifiable payment infrastructure without continuous human intervention.<\/span><\/p>\n This view was presented by <\/span>Sandy Kaul<\/b>, Head of Digital Assets and Innovation at Franklin Templeton, in an analysis published in July 2026, amid payment companies, AI firms, and crypto infrastructure providers building transaction layers for machines. Stripe, the Linux Foundation, and OpenAI have all taken steps related to payments for AI agents, indicating that agentic commerce is moving from a technological concept to its initial infrastructure-shaping stage.<\/span><\/p>\n https:\/\/t.co\/YTePOu0fUc<\/a><\/p>\n \u2014 Franklin Templeton Digital Assets (@FTDA_US) July 21, 2026<\/a><\/p>\n<\/blockquote>\n Sandy Kaul, Head of Digital Assets and Innovation at Franklin Templeton, does not view agentic AI merely as a new application layer of artificial intelligence, but as a test for whether blockchain can serve real economic needs beyond digital asset trading.<\/span><\/p>\n According to Kaul, this is where blockchain could find a more practical role compared to previous speculative cycles. An AI agent may need to pay for data, call APIs, purchase software, book services, or execute multiple small transactions in a task chain. Such transactions may be too small, too fast, or too frequent to pass through traditional payment processes designed for human users.<\/span><\/p>\n The asset manager has built a clearer presence in the tokenization space through the Franklin OnChain U.S. Government Money Fund, linked to the <\/span>BENJI ecosystem<\/b>. The fund recorded total net assets of <\/span>$753.24 million<\/b> as of June 30, 2026, showing that blockchain is being used in a traditional financial product rather than remaining solely in crypto experiments.<\/span><\/p>\n When AI agents execute transactions autonomously, the payment system must know whom the agent represents, how much it is authorized to spend, and leave an auditable transaction history when needed.<\/span><\/p>\n This gap makes blockchain and stablecoins a notable option for payments between AI agents. The technology can record transactions in a transparent and programmable manner, while stablecoins provide a settlement unit less volatile than typical crypto assets. For small amounts, such as an agent paying a fee for a single API call or data access instance, a pay-per-use instant payment model may be more suitable than traditional subscriptions or invoices.<\/span><\/p>\n Crucially, blockchain does not necessarily have to replace Visa, Mastercard, or banking systems. A more practical use case is serving as a supplementary payment layer for transactions that current infrastructure processes sub-optimally: machine-to-machine payments, micropayments, pay-per-use APIs, cross-border settlements, and conditional automated transactions.<\/span><\/p>\n Franklin Templeton offered this assessment at a time when the market had already shown more concrete signals regarding payments for AI agents. In March 2026, Stripe introduced the <\/span>Machine Payments Protocol<\/b>, an open standard co-developed by Stripe and Tempo for agents to pay for resources, APIs, or services via HTTP endpoints while connecting to Stripe\u2019s existing payment infrastructure.<\/span><\/p>\n\n
Franklin Templeton\u2019s Thesis<\/b><\/h2>\n
The Case for Blockchain-Based AI Payments<\/b><\/h2>\n
Market Signals Behind the Thesis<\/b><\/h2>\n