AI-Native Automation in 5G-Advanced and 6G

As video dominates 82% of internet traffic, traditional reactive monitoring is no longer enough. To meet ultra-low latency demands for 8K and XR, networks must transition to AI-native automation at the edge. The solution lies in four pillars: predictive QoE modeling to stop buffering before it starts, dynamic network slicing, Explainable AI (XAI) for cross-layer root cause analysis, and intent-based policies that automatically prioritize premium traffic. This shift from "reactive" to "autonomous" is the only way to eliminate the "buffering wheel" in complex, multi-CDN environments.