The Evolution of AI in Telecommunications: From Static Models to Autonomous Agents AI · agentic systems · RAN automation 9 min read AI in telecommunications is not one thing. It has been three distinct things, each requiring different infrastructure, different trust models, and different relationships between the system and the engineer operating it. Understanding that progression matters because where you sit in it determines what problems you can actually solve. This is not an abstract observation. The analytics platforms built across the past several years went through each stage in sequence, and each transition changed not just what the system could do but how it was used. The pattern that emerged is worth describing in some detail, because it applies broadly to how AI gets deployed in any operationally complex environment. The three paradigms and what separates them Fig 1 -- Three AI paradigms: capability and autonomy increase left ...