AI-RAN: Rewiring the radio network for the AI era

For the past decade, operators have worked to make radio networks more open and software-driven. That foundation is shaping the industry’s approach to AI-RAN and its potential role in network optimization, shared compute, and future service delivery.

The opportunity comes with practical questions about architecture, cost, and measurable value. Operators must determine where AI can improve spectral efficiency or automate network decisions without adding expensive compute for its own sake. A needs-based approach allows each provider to evaluate the technology against its network requirements and expand adoption as field results support the business case.

Inside you’ll learn: