Crypto executives debate whether a suitable payment asset for machine-to-machine commerce and AI agent transactions currently exists.
AI & Agents ·
AI agents operating autonomously on blockchain networks could represent a trillion-dollar economic opportunity, but crypto executives argue that a suitable payment asset for machine-to-machine transactions does not yet exist. The infrastructure gap is significant: while agents can already hold wallets, sign transactions, and execute smart contracts without human approval at each step, the payment rails enabling efficient agent-to-agent commerce remain underdeveloped.
Current implementations show agents operating across distinct tiers of autonomy. Delegated agents act within human-set spending rules, while autonomous agents operate with minimal checkpoints—Travala's Base-powered protocol reports AI agents have autonomously booked over 2.2 million hotels using crypto. Yet these deployments rely on existing payment infrastructure rather than purpose-built systems optimized for high-frequency, low-friction agent interactions.
What remains unresolved is whether existing stablecoins, layer-2 protocols, or new payment standards will fill this gap. Recent proposals like Biconomy's ERC-8211 standard attempt to streamline multi-step trades, and Visa launched Intelligent Commerce Connect for agent payments, but no clear consensus has emerged on which asset or protocol will become the standard for agent-denominated commerce at scale.