From AI-for-RAN efficiency to AI-on-RAN monetisation: how operators can commercialise AI-RAN

AI-RAN is shifting from hype to practical strategy. This overview pack explains what AI-RAN is, why it matters now, and how operators can capture value – from improving RAN operations to hosting external AI workloads on RAN infrastructure.

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What’s inside the pack:

• The AI-RAN opportunity and value drivers: Where AI can improve RAN performance and efficiency, and where new revenue opportunities may emerge
• The three AI-RAN deployment models: AI-for-RAN, AI-and-RAN and AI-on-RAN – and what each model implies for operator ambition, investment requirements and timing
• Ecosystem and market momentum: How the vendor landscape is evolving (including the AI-RAN Alliance) and what leading operators are doing in practice
• Commercial viability and operator actions: Scenario-based economics and the priority steps operators should take now to move from trials to scaled deployment