As businesses around the globe continue to invest in AI-driven robotics and automation, the stress on network infrastructure exponentially increases. The sheer volume of data required and proximity of LLM inference, combined with the unique latency, security, sovereignty and performance characteristics of emerging AI applications and services, can determine the success of these investments. This presentation examines the critical role that networks play in supporting AI IoT and highlights several new technical advancements that are designed to fortify security, increase reliability, and lower operating costs.