AI-RAN: Navigating the path from hype to commercial reality
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AI-RAN is emerging as a critical area of innovation for telcos. While early pilots confirm technical feasibility, the path to commercialisation remains less clear. We explore the practical pathways for telcos to capture near-term value and prepare for long-term opportunities.
Description
Format: PDF filePages: 20Author: Gabija CepurnaitePublication date: September 2025
In this research, we examine how telcos can move past the AI-RAN hype and make the technology a stable commercial opportunity in the long term.
Table of contents
- Executive summary
- Recommendations
- AI-RAN is gaining momentum, but the commercial path needs to be explored further
- AI-RAN is a hot topic – and early signs are promising
- Efficiency benefits and, potentially, new revenue streams
- Ecosystem dynamics are still forming – offering players the chance to shape outcomes
- The aim of this report
- Mapping the AI-RAN landscape: Three models, rising complexity
- Overcoming commercial barriers: Evolving mindsets and models
- What scale of demand is needed for a six-year payback?
- The critical role of ecosystem partnerships
- Shaping the telco role in AI-RAN
- Our recommendations
Technologies and industry terms referenced include: AI, AI-RAN, collaboration, commercial model, computing, EcoSystem, efficiency, enterprise, hybrid, Hyperscalers, Innovation, ISV, partnership, RAN, Red Hat, Revenue, softbank, systems integration, T-Mobile, telcos, vendors
