CDC's AI Strategy (FY 2026-2030)

The Centers for Disease Control and Prevention has outlined its artificial intelligence strategy for fiscal years 2026 through 2030. The plan serves as a blueprint to harness AI for accelerating disease detection, reducing operational burden, and empowering innovation through secure data platforms and an AI-ready workforce. The strategy aligns with the Department of Health and Human Services AI strategy and other federal directives. CDC has long used advanced analytics and predictive modeling in public health, from flu forecasting to outbreak detection. Modern AI capabilities are now transforming its work. The strategy is built on four pillars. These pillars are support public health with accelerated AI adoption, strengthen AI governance and public trust, advance AI capabilities across CDC enterprise data platforms, and empower an AI-ready workforce to unlock innovation. Each pillar includes a vision and strategic objectives for collaboration across programs and partners. The living strategy will be refreshed as policy and technology evolve. Key considerations, performance metrics, initiatives, and resources will be assessed and refined over time.