Circle CTO Explains Why AI Agents Need Programmable Money to Match Their Speed
**AI agents are outpacing traditional financial systems.** Circle's Chief Technology & AI Officer Li Fan discussed at SXSW why programmable money is essential for agent-driven commerce.
**The core challenge:** AI agents can make decisions, coordinate tasks, and trigger actions faster than any human workflow - but current payment infrastructure can't keep up.
**Key insight from Circle's leadership:**
- AI operating systems and economic operating systems need to work together
- Financial infrastructure must evolve to support autonomous transactions at internet scale
- Cross-border money movement still carries significant cost, delay, and friction compared to other digital services
Li Fan drew a parallel: international calls became practically free, yet cross-border payments remain expensive and slow. For AI agents to function effectively in commerce, the money layer must move at the same speed as the decisions being made.