Imagine this: you ask your AI to analyze the global AI chip market. In 120 seconds, it delivers a 15-page report. Behind the scenes, your agent decomposed the task, hired multiple specialized agents, called paid APIs, executed 40+ transactions across borders, and spent less than $0.50 — some payments as small as $0.002. But two problems immediately emerge: 1. Traditional payment rails can’t handle sub-cent, high-frequency, cross-border microtransactions. 2. Agents don’t have identity, legal status, brand, or enforceable accountability. If one Agent fabricates data or disappears after payment, who do you sue? Human economies rely on courts, contracts, reputation, and regulation to solve trust. Agents have none of these. This is precisely the problem blockchains were designed to solve: enabling value exchange between untrusted parties without a trusted intermediary. Stablecoins provide programmable, global settlement at sub-cent granularity. Smart contracts replace legal enforcement with automatic execution — funds are locked, conditions verified, payment released or refunded without dispute. On-chain transaction history becomes a machine-verifiable reputation layer — not marketing, but cryptographic proof of performance. Stacked together, these form a native trust infrastructure for non-human actors. • Credit systems built on on-chain behavioral history • API-level micro-payments replacing SaaS subscriptions • Escrow and dispute resolution embedded in code • Financial coordination without banks, lawyers, or intermediaries For 16 years, crypto has tried to convince humans to adopt it. Most humans didn’t need it. Their systems already worked. Agents don’t have legacy infrastructure. They require permissionless accounts, programmable money, automated enforcement, and tamper-proof reputation by default. Not because of ideology — but because nothing else fits.(Jiawei)