Telecom Operators Face Challenges Scaling Autonomous Networks with Agentic AI
By
Amogh Dendukuri
Summary
Telecom operators are adopting AI across network operations, customer care, and back-office workflows, but most remain at early stages (Level 2–3) of TM Forum's autonomous networks taxonomy. Achieving higher autonomy (Level 4–5) requires autonomous agents capable of understanding operator intent, sensing networks in real time, researching plans, weighing trade-offs, and coordinating governed actions across multiple domains. The article explores the technical and operational challenges telcos face in progressing toward fully autonomous network management using agentic AI.
Source
bskyTelecom Operators Face Challenges Scaling Autonomous Networks with Agentic AIdeveloper.nvidia.comKey quotes
· 3 pulledTelecom operators are adopting AI across network operations, customer care, and back-office workflows, but most are still early in the journey to autonomy.
In network operations, for example, automation typically sits in the Level 2–3 band of TM Forum's autonomous networks levels taxonomy, streamlining execution of predefined solutions in selective network domains.
Reaching Level 4–5 autonomy requires autonomous agents that can understand operator intent, sense the network in real time, research and develop plans, weigh trade‑offs, and coordinate governed actions across domains.
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