BOSTON — Federal Reserve Gov. Christopher Waller said Tuesday the central bank is moving aggressively but cautiously to embed artificial intelligence across its operations, arguing that a coordinated, systemwide approach is essential as AI, tokenization and other technologies reshape finance and payments.

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Speaking at the Federal Reserve Bank of Boston’s 2026 Technology-Enabled Disruption Conference, Waller said the Fed is applying AI not just to research and monetary policy support, but to the operational backbone of the institution — including payments, financial management, human resources and services to the U.S. Treasury. As the Fed’s systems have become more digital and interconnected, he said, a traditional Bank-by-Bank technology model creates duplication and operational risk, prompting a shift to a “system-first” strategy with shared standards and infrastructure.

For financial institutions watching the central bank’s technology posture, Waller signaled that the Fed intends to keep pace with private-sector innovation while maintaining strict guardrails. AI systems can amplify errors and pose risks around data protection, model validation, bias and operational resilience, he said, making strong security controls and human accountability essential. At the same time, he stressed that passivity is not an option given the speed of change in areas such as generative AI, quantum computing and tokenization.

Operationally, the Fed has rolled out a common internal, general-purpose AI platform available to all Reserve Bank employees, designed to help staff draft, summarize and analyze information more efficiently. Developers are also using coding assistants to accelerate documentation, refactoring, testing and system modernization — compressing work that once took days into hours, improving capacity while reinforcing security and reliability in production systems. AI tools are further being used to analyze qualitative information gathered from businesses and community contacts, enabling faster identification of economic themes and sentiment shifts relevant to policymakers and markets, Waller explained.

Waller said the broader goal is to embed AI directly into enterprise workflows — from legal and risk to procurement and operations — rather than rely on fragmented pilot projects. He emphasized training, accountability and leadership engagement to drive adoption, including incorporating AI literacy into employee performance goals. 

Section: Standard
Word Count: 425
Copyright Holder: CUToday.info
Copyright Year: 2026
Is Based On:
URL: https://www.cutoday.info/Fresh-Today/Federal-Reserve-Rolls-Out-Enterprise-AI-Platform-Tightens-Guardrails