Franklin Templeton: AI agents are blockchain's killer use case

Sandy Kaul, @FTDA_US head of digital assets and innovation at Franklin Templeton, argues that autonomous AI agents represent a structural shift in how economic activity flows, and that legacy payment infrastructure is not built to keep up.

Why Traditional Payment Rails Fall Short

The core problem is one of economics. Standard card networks charge roughly 2% to 3% plus a flat fee per payment, making tiny machine-to-machine transactions commercially unviable. Card networks also settle in one to three business days, a timeline that is simply incompatible with software agents transacting in seconds at near-zero cost. Legacy payment rails with high fees and slow settlement times do not work for micropayments. AI agents also face a more fundamental barrier: they cannot open bank accounts or access financial services that carry strict KYC requirements.

Kaul's argument is that blockchain networks fill that gap directly. Blockchains can settle sub-cent transactions in seconds and automatically record them, making them the natural infrastructure for an agent-driven economy. She singles out @solana, @Aptos, and @BNBCHAIN as networks already suited to that role. Those networks settle transactions in seconds, faster than the one-to-three business-day settlement time of the Visa network.

Early Data Confirms the Pattern

The activity is already showing up in on-chain data. The x402 protocol, incubated by Coinbase and Cloudflare and now stewarded by the Linux Foundation, has processed roughly $15 million in adjusted volume across 109.6 million transactions since its May 2025 launch. On x402, the average payment is a fraction of a cent, and a fixed card fee on a transaction that small would cost far more than the payment itself.

A joint report from Visa and Artemis, titled "Agentic Payments from the Ground Up," frames the moment as an inflection point. The report found that AI agents are initiating a foundational change in commerce, but current infrastructure gaps are limiting mainstream adoption. The volume figures are still modest by any macro standard, but the transaction frequency tells a different story. Tiny money, enormous frequency.

For investors, Kaul's broader point is a strategic one. Estimates suggest agentic commerce could reach $3 to $5 trillion by 2030, and the playbook of buying shares in AI-aligned companies may not capture that opportunity the same way exposure to the underlying blockchain rails could.

Sources:
Franklin Templeton: Agentic AI, The Killer Use Case for Blockchain and Crypto
Visa and Artemis: Agentic Payments from the Ground Up
CoinTelegraph: Agentic AI is Next Killer Use Case for Blockchain, Franklin Templeton