AIUSD Unveils Financial ‘Money Layer’ for AI Agents

AIUSD has introduced a new system designed to enable AI agents to execute financial transactions autonomously. Founded by Bill Sun, a Stanford mathematics/AI Ph.D. and early contributor to Google’s Transformer model, AIUSD aims to create a “money layer” that allows AI agents to manage and execute high-value economic activities reliably. This system addresses execution bottlenecks by providing a machine-native tokenized asset platform, ensuring stability and reliability across all blockchains and exchanges.

The AIUSD platform equips users with AI asset management and trader agent teams capable of continuous market monitoring and high-frequency trading. It allows agents to perform economic interactions such as trading and fund transfers without human intervention. By integrating tokenized assets, AIUSD facilitates real-time settlement and 24/7 trading, eliminating the need for manual oversight and aligning with the operational speed of AI agents. This innovation positions AIUSD as a pivotal player in the evolving landscape of agentic finance.