Edge AI meets wireless systems: Implications for connectivity and RF design

The rapid adoption of AI at the network edge, including recent advances in generative and reasoning-capable models, is reshaping the way distributed systems generate traffic, interact with networks, and consume wireless resources. Unlike traditional cloud-centric AI workloads, edge AI applications introduce new constraints and dynamics, such as tight latency budgets, intermittent connectivity, heterogeneous hardware capabilities, and energy-aware operation.