Building networks for AI
AI is already reshaping what networks must deliver and how they operate.
In this leadership conversation, Elena Fersman and Mårten Lerner explore AI from two perspectives: Networks for AI and AI for networks. They discuss how new AI driven applications such as connected glasses, autonomous systems and physical AI are changing traffic patterns and increasing demands on uplink performance, latency and scale. They also explain how 5G Standalone, differentiated connectivity and open APIs provide the foundation to support these requirements.
The conversation then turns to how AI is embedded across the network itself. From radio to core and operations, AI is applied end to end using intent based management. Instead of isolated algorithms, operators define outcomes and the network translates them into coordinated technical actions. Real world results already show measurable gains in spectral efficiency, user throughput and energy performance, with security and trustworthy AI built in by design.
The discussion connects today’s AI deployments in 5G to the AI native architecture that will shape 6G, and highlights why building networks for AI at scale starts now.