爱立信：2026面向AI体验的网络白皮书（英文版）（20页）.pdf

1、Ericsson White PaperGFTL-26:000298 UenFebruary 2026The Network for AI ExperiencesThe Network for AI Experiences February 20262ContentExecutive summary 3Emerging consumer and enterprise AI use cases 5AI as the universal catalyst for transformation 6Shift in consumer behavior 6AI powers emerging enter

2、prise applications 7Key enablers for a network powered AI 8Enhanced UL 9Spectrum allocation:a vital resource for AI evolution 10Differentiated connectivity:solutions and approaches 10Network exposure APIs 11Network capability expansion:Identity and positioning 13Industry digital twins:collaboration

3、with network digital twin 13Conclusions and call for action 14References 16Authors 17ContentThe Network for AI ExperiencesExecutive summary February 20263Executive summary In the first three years,generative artificial intelligence(GenAI)usage grew at a staggering pace to nearly a billion weekly act

4、ive users.A significant share of total usage was on mobile phonesinitially text-based queries but later shifting to more media-based engagements.Consequently,mobile networks must evolve to accommodate this shift.The future of this evolution relies on the convergence of three technology pillars:AI,cl

5、oud,and mobile.AI models are becoming more powerful,evolving into multimodal systems that use audio,images,video,and immersive media as both input and output.Centralized cloud infrastructure plays a central role in model training,while more distributed cloud capabilities are emerging to support infe

6、rence.Mobile connectivity is well-positioned to connect existing AI-enabled devices and new AI-native devices where network availability,reliability,and security are vital.Network performance thus becomes a defining factor in the AI experience.This convergence creates a powerful economic and technol