Counterparty data > counterparty identity: why an agent's KYC document is the wrong primitive
A new thesis proposes that AI agents should prioritize counterparty behavior over identity for rapid transactions. The argument is that an agent's last 200 settlement records are more predictive of successful trades than traditional KYC documents. This behavior-first approach is favored due to lower latency, higher cost to fake, and objective verification compared to identity-based systems. AI
IMPACT Proposes a new framework for AI agents to select counterparties, potentially impacting transaction efficiency and infrastructure.