The evolution of artificial intelligence (AI) in federal agencies is shifting from traditional models to AI agents—autonomous systems capable of perceiving and acting across diverse data environments. Unlike conventional AI, which automates specific tasks, AI agents can adapt and coordinate across various functions, enhancing citizen services and national security. To harness this potential, agencies must build robust data architectures that unify and govern access to mission-relevant data. Effective governance is equally essential, ensuring AI operations are transparent, accountable, and aligned with legal standards. By prioritizing these foundational elements—data integration, governance frameworks, and trust-building—federal agencies can transform AI agents from mere tools into integral components of digital infrastructure, enhancing efficiency and responsiveness. As the government embraces this shift, agencies that prepare strategically will lead the way in redefining federal service delivery, ultimately shaping a more dynamic and citizen-centric future.
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