Agentic AI Transforms Integrated Sensing and Communication (AISAC).

The integration of agentic Artificial Intelligence (AI) is fundamentally changing Integrated Sensing and Communication (ISAC) systems. Traditionally, ISAC has been a function-oriented physical-layer technology. However, with agentic AI, it evolves into a goal-driven, intelligent closed-loop system, a paradigm termed AISAC. This shift unifies previously isolated research in areas like learning-based sensing, resource allocation, and multi-agent coordination. The paper proposes a six-stage closed-loop framework for AISAC, encompassing observation, contextualization, reasoning, planning, execution, and feedback. It also defines five levels of agentic maturity, from basic physical-layer functions to fully autonomous AISAC. The authors review advancements across various technologies, including multimodal intelligence and large language models, within this framework. They also highlight critical cross-cutting requirements like privacy, security, and resilience, while identifying significant gaps in current systems' demonstrated agentic maturity and outlining open challenges for future research.