AI-native RAN: implementation strategies
02 September 2025 | Research and Insights
Adaora Okeleke | Caroline Gabriel
Strategy report | PPTX and PDF (19 slides) | Wireless Infrastructure| AI and Data Platforms| Wireless Technologies
"A choice of pragmatic implementation options will be crucial to operator adoption of AI-native RAN."
There is significant operator interest and ecosystem investment in AI-native RAN. However, there are barriers to deploying RAN and AI functions on common optimised infrastructure. We have identified three routes that operators can take towards AI-native RAN depending on their commercial objectives and existing infrastructure.
Questions answered in this report:
- What are the key benefits of deploying an AI-native RAN, and how do these differ from the benefits associated with current AI-enhanced RAN control?
- What are the challenges in deploying an AI-native RAN using current technologies?
- What is the optimal timeframe and deployment model for an operator that aims to move towards AI-native RAN, depending on its business model?
- What are the options for deploying AI-native RAN alongside existing RAN and cloud infrastructure, and what are the benefits and trade-offs?
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Authors
Adaora Okeleke
Principal Analyst, expert in AI and data management