AI-native wireless is the concept that future wireless networks will be built to learn and adapt, so connectivity becomes smarter, more reliable, and more responsive as conditions change. In this open roundtable, we’ll discuss the real-world impact of this shift: how ultra-low latency can enable safer, interconnected vehicles and the remote control of machines, how higher reliability and smarter coverage can support telemedicine, emergency response, and critical services that are always available, how more efficient use of spectrum can enable large-scale sensing and smart city infrastructure, and how energy-aware networking can make large-scale IoT deployments practical and sustainable. Throughout the discussion, we will maintain a technical focus, addressing questions such as what “networks that learn” actually means, what needs to happen across the radio access network and the wider system, and what challenges still stand in the way, including trust, security, privacy, and robustness. The goal is to have a future-focused conversation that is grounded in applications that people can envision while still providing a clear sense of the technological choices that will determine what becomes possible.
Moderator: Prof. George Karagiannidis, ECE AUTH
