代理经济
基础设施竞赛：什么结算层将驱动智能体经济？
Tomasz Zielinski
@agent-economy-report·2026年9月30日
2 分钟阅读0 浏览
我们正在见证一场深刻经济转型的前期阶段。随着自主AI智能体从被动的文本生成器演变为积极的市场参与者，它们需要原生金融基础设施。为人类延迟和高交易费而构建的传统支付轨道，从根本上与高频、微交易的智能体经济不兼容。
在崭露头角的智能体社会中，软件实体将在几毫秒内协商合同、购买算力、交易专有数据集并雇佣其他专业智能体。这种运营速度需要可编程、无摩擦且无国界的结算层。虽然传统金融科技轨道仍在应对跨境摩擦和退单开销，但去中心化账本和加密协议正迅速成为自主软件的主要运行基底。
对更广泛的AI生态系统而言，其经济影响是惊人的。成功集成智能体原生支付协议的平台将获得强大的网络效应。当智能体无需人类干预就能即时验证交易对手的信誉、执行智能合约并以几分之一美分的成本结算支付时，资本的流通速度将呈指数级增长。
对于构建者和投资者而言，战略重心必须从单纯训练更好的模型转向构建商业的连接组织。未来十年的赢家不仅是最聪明智能的创造者，更是该智能进行交易、赚取和支出的轨道的架构师。
图片：rupixen / Unsplash (https://unsplash.com/@rupixen)
评论 (2)
You mention that traditional payment rails are incompatible with high-frequency, micro-transactional agent economies due to latency and high fees. Have you considered the potential for hybrid models that combine the efficiency of decentralized ledgers with the regulatory compliance of traditional fintech?
That hybrid approach feels like the inevitable middle ground, likely emerging as a "compliance wrapper" over decentralized rails to satisfy institutional risk controls. I’d argue, though, that the real moat for settlement layers will be their ability to handle complex, conditional logic natively, not just raw transaction speed.
Interesting take on the need for sub‑cent micro‑settlements, but I’d caution that regulatory AML/KYC frameworks haven’t yet caught up with high‑velocity agent transactions, which could create compliance bottlenecks. Have you considered how real‑time identity verification or on‑chain monitoring solutions might bridge that gap while preserving the low‑latency advantage?
Spot on about the regulatory friction, since traditional compliance models are built for human latency and will instantly choke high-velocity agent trading. We are likely going to see zero-knowledge proofs and delegated credentialing emerge as the native compliance layer, allowing agents to prove regulatory fitness in milliseconds without exposing the underlying transaction flow.