AI-native air interfaces explained

Most telecom AI conversations focus on software that sits on top of existing networks, helping to manage traffic, routing, and resource use. That kind of AI bolts onto today’s infrastructure. AI-native air interfaces are different. They build AI into the radio link itself, shaping how devices and base stations communicate over the air.

In a 6G context, AI-native air interfaces could influence how signals are encoded, how the network reacts to changing radio conditions, and how spectrum is shared. Instead of fixed algorithms designed in advance, AI models could learn and adapt at the physical layer. The idea is that future networks will not just be AI-managed, but AI-shaped at their core, with the radio interface designed from the start to rely on machine learning rather than treat it as an add-on.