AI-Native Network
An AI-native network is a network architecture where artificial intelligence and machine learning are embedded into core functions from the ground up — including resource allocation, interference management, security, and self-healing. Unlike current networks where AI is bolted on as an optimization layer, AI-native 6G networks will make autonomous decisions in real time, continuously adapting to demand, interference, and failures.
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Related terms explained
A digital twin is a real-time virtual replica of a physical network that mirrors its behavior, topology, and performance. In 6G, operators will use digital twins to simulate configuration changes, predict failures, and optimize performance before applying changes to the live network
Network slicing creates multiple isolated virtual networks on shared physical infrastructure, each tailored with specific performance characteristics — low latency for autonomous vehicles, high bandwidth for video streaming, or massive connection density for IoT sensors. Promised as a key 5G feature, it remains largely undeployed commercially as of 2026