The Dawn of 6G: Empowering a User-Centric Ecosystem with Agentic AI

Abstract: The convergence of artificial intelligence (AI) with the physical world is reshaping the future of intelligent systems through real- time perception, interaction, and control within physical environments. To support this new paradigm, 6G networks are envisioned as critical enablers, offering ultra-low latency, high reliability, and service-aware intelligence to facilitate seamless human-machine collaboration. This paper proposes a functional framework that integrates Agentic AI into the 6G architecture, introducing the concept of Agentic AI-Enabled 6G Network Services (AA6NS). In this framework, user intents are translated and processed across the application layer, core network (CN), and radio access network (RAN), where Agentic AI dynamically manages task-level quality of service/quality of experience (QoS/QoE), orches‑ trates multi-device service groups, and enables real-time network adaptation. The proposed architecture with the new 6G techniques estab‑ lishes a foundation for future physical AI applications across domains such as autonomous mobility, smart manufacturing, and remote robotics.

Keywords: AI/ML; Agentic AI; 6G network; physical AI