Global collaboration accelerates innovation and validation of AI-RAN technologies

The AI-RAN Alliance today announced it has surpassed 100 members, signaling strong global momentum behind its mission to accelerate innovation in AI-RAN (Artificial Intelligence-Radio Access Networks). Launched in 2024, the Alliance has grown to include technology leaders, academic institutions, service providers, research labs, and industry associations across more than 17 countries, working together to unlock the transformative potential of artificial intelligence in wireless networks. One of the newest members is Vodafone, a global telecommunications leader, reinforcing the Alliance’s expanding global footprint and commitment to transforming the future of wireless networks through AI.

“We are thrilled by the extraordinary growth of the AI-RAN Alliance,” said Alex Jinsung Choi, Chair of the AI-RAN Alliance and Principal Fellow at SoftBank Corp.'s Research Institute of Advanced Technology. “This milestone underscores the global momentum behind advancing AI for RAN, AI and RAN, and AI on RAN. Our members are pioneering how artificial intelligence can be deeply embedded into radio access networks — from foundational research to real-world deployment — to create intelligent, adaptive, and efficient wireless systems.”

Francisco Martin, Head of Open RAN of Vodafone, said: “Vodafone is committed to using AI to optimize and enhance the performance of our radio access networks. Running AI and RAN workloads on shared infrastructure boosts efficiency, while integrating AI and generative applications over RAN enables new real-time capabilities at the network edge.”

About the AI-RAN Alliance

The AI-RAN Alliance is a global consortium accelerating the integration of artificial intelligence into Radio Access Networks. Established in 2024, the Alliance unites leading companies, researchers, and technologists to advance open, practical approaches for building AI-native wireless networks. The Alliance focuses on enabling experimentation, sharing knowledge, and real-world performance to support the next generation of mobile infrastructure. For more information, visit: https://ai-ran.org

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