Across the telecom industry, artificial intelligence is moving from pilots into scale up and scale out. Operators are beginning to embed AI across networks, automation platforms and service architectures, with proofs of concept now delivering measurable results.
The focus is shifting from experimentation to building the environments needed to deploy AI at scale in production networks.
At the same time, cloud-native platforms, data platforms, open APIs and composable IT systems are reshaping how networks are built, operated and monetised.
But as this scale-up moment arrives, operators face a series of new challenges. How should telecom data be managed securely and sovereignly? How will AI agents be governed and controlled within operational environments? What skills and architectures are required to avoid future technical debt? And how will operators manage the partnerships required to deliver AI-driven networks?
To explore what this means in practice, TMN is producing a new Report. At the heart of the report is the TMN AI-Native Telco Survey, tracking operator progress across five areas shaping the next phase of telecom transformation:
- AI-driven network operations
- Automation maturity
- Network data platforms
- OSS transformation
- Platform monetisation
Alongside the research, the report brings together operator perspectives, real deployments and vendor innovation to examine three key questions:
- Are autonomous networks becoming real?
- What architectures are emerging for AI-driven telecom networks?
- How will next-generation platforms create new value?
The report will launch ahead of DTW Ignite 2026 and will be distributed at the event as well as across TMN’s global operator readership.
Pre-register below to receive a complimentary copy when the report is published. Please use a valid work email address to qualify.
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