Federal Reserve's Waller discusses AI's impact on payments at Sibos
Summary
Governor Waller delivered a speech at the Sibos conference, focusing on the impact of artificial intelligence (AI) on the payments industry, particularly in enhancing cross-border payment efficiency and security. He highlighted how AI applications have been instrumental in areas such as fraud detection and sanctions screening, which are vital for improving the safety of payment systems. Waller also discussed the emerging concept of agentic commerce, where AI agents facilitate e-commerce transactions either by assisting buyers or autonomously making purchases on their behalf, stressing the importance of establishing trust and standards to mitigate liability and fraud risks associated with these new models.
Analysis
Federal Reserve: The Federal Reserve is the central banking system of the United States tasked with overseeing monetary policy, financial stability, and payment system integrity. Through Governor Waller's address at Sibos, the institution is highlighting proactive considerations for how AI agents could transform transaction processes while maintaining security and trust. Christopher J. Waller: Christopher J. Waller serves as a member of the Board of Governors of the Federal Reserve System. In his September 2026 speech at the Sibos conference, he examined the expanding role of artificial intelligence in payments systems, with emphasis on cross-border efficiency, cybersecurity, and the emergence of agentic commerce models. AI in Payments: Payment industry participants are advancing AI applications for sanctions screening, fraud detection, and optimization of cross-border routing and liquidity management. Trust and Standards: Tech firms, e-commerce platforms, and card networks are developing technical specifications and protocols to address authentication, liability, and fraud risks in agentic transactions. Agentic Commerce Models: Market participants distinguish between agent-assisted commerce, where buyers retain control, and agent-delegated models that enable autonomous AI-driven purchases with defined guardrails.
Categories
cryptopoliticsai_agentsmachine_learningtech