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Federal Reserve AI policy integration

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2026-09-08 12:57 UTC → 2026-09-10 11:51 UTC · added ~~removed~~

The United States Federal Reserve has initiated efforts to integrate artificial intelligence considerations into its monetary policy framework. In August 2026, the Fed announced the formation of five working groups, including a team focused on productivity and employment led by figures such as Asha Sharma, Charles I. Jones, and Marc Andreessen. This group is tasked with evaluating how generative AI affects the broader economy to assist decision-making processes. By September 2026, Federal Reserve official Kevin Warsh indicated that while investment demand for AI infrastructure is contributing to a strong US economy, inflation remains a primary concern, having stayed above the 2 percent target since March 2021. Warsh emphasized that maintaining price stability remains the central bank’s dominant focus. Adding to the economic discourse on AI, an economic model published by Anthropic in September 2026 explored potential US economic impacts by 2030. The model presented three scenarios comparing AI integration against a baseline without the technology. In a mild scenario, AI is compared to the impact of the internet, resulting in a 1.6% increase in GDP and a 0.4% increase in wages for mental workers. A middle scenario suggests a much higher GDP rise of 8.3%, though it also projects challenges such as unemployment reaching 4.6% and wages for mental professions being 0.3% lower than the non-AI baseline.

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