AI智能总结
Contents Executive Summary The digital economy has become a primary engine of global economic growth, driven by the rapidevolution of mobile communication technologies and the accelerating advancement of ArtificialIntelligence (AI). As 5G reaches global scale, 5G-Advanced moves towards commercialization and6G research advances steadily, mobile networks continue to expand the limits of connectivity,efficiency, and coverage. At the same time, AI is extending from the cloud to devices and thenetwork edge, with Large Language Models (LLMs), multimodal intelligence, and AI agentsreshaping how intelligence is created and consumed. The deep convergence of these two forcesis giving rise to a new era –the Mobile AI era. 01Executive Summary 02030801The Value of Mobile AI1. Economic Value: Unlocking Large-Scale Potential Through Convergence2. Social Value: Responsible, Inclusive, and Secure AI Advancement In the Mobile AI era, the ubiquitous connectivity of mobile communication networks becomes theessential foundation for the widespread adoption and democratization of AI. Built on this pervasiveconnectivity, AI is expanding beyond specialized domains to become universally accessible. At thesame time, deep integration with AI is reshaping the core architecture of those networks. Together,these forces make the convergence of mobile communication and AI an inevitable direction fortechnological evolution and industrial transformation. As a result,Mobile AI has emerged as atransformative paradigm and a critical driver of global digital and intelligent development. 0911131521The Connotation of Mobile AI1. AI for Network2. Network for AI3. Mobile AI Agents/Devices4. Mobile AI applications Mobile AI is founded on the principle of bidirectional empowerment between networks and AI,underpinned by the core values of Responsible AI and Security & Trustworthiness. By integratingthe ubiquitous connectivity, low latency, and high reliability of mobile communication networks(5G/5G-A/6G) with AI's strengths in perception, decision-making, and learning, Mobile AIestablishes a collaborativedevice-edge-network-cloud architecture. This forms an intelligentservice system that offers broad coverage, real-time responsiveness, and precise adaptation, withthe overarching goal of deliveringAI that is ubiquitous, trustworthy, and easy-to-use. 25262728343503Towards Mobile AI1. Infrastructure Enhancement2. Spectrum Assurance3. Technological Innovation4. Terminal Evolution5. Standard Formulation The essence of Mobile AI is captured in its "Three-Layer, Four-Dimension" architecture.Vertically, the Foundation Layer, the Execution Layer, and the Application Layer form an end-to-end pathway from infrastructure to scenario-specific value creation. Horizontally, four keyfunctional dimensions -AI for Network, Network for AI, Mobile AI Agents/Terminals, andMobile AI Applications-work together to drive continuous evolution across the entire ecosystem.These layers and dimensions interact dynamically, enabling full-chain integration from technologyto application and accelerating the intelligent transformation of industries. Drawing on a global industry perspective, this white paper systematically outlines the value,definition, architecture, implementation pathways, and key challenges of Mobile AI. It providesstrategic recommendations and calls for collaborative actions across the value chain to promoteglobal cooperation, standard alignment, and ecosystem growth. Looking ahead, as 5G-A becomeswidespread and 6G advances toward commercialization, Mobile AI will evolve from convergedapplication to native symbiosis. This shift will unlock sustained innovation momentum, empowerindustries at scale, and serve as a cornerstone for the high-quality development of the globaldigital economy. 36Recommendations and Call to Action 39Acknowledgements The current large-scale deployment of 5G/5G-A networks and the rapid proliferationof Artificial Intelligence (AI) are propelling mobile communications and AI into a newphase of deep synergy. Within this trend, Mobile AI has emerged. It is not a meresuperposition of the two technologies but is fundamentally based on the core logicof "bidirectional empowerment between networks and AI." By realizing "networksenabling intelligence, and intelligence optimizing networks," it constructs a new typeof service system characterized by ubiquitous connectivity, real-time responsiveness,and intelligent self-adaptation. This "bidirectional empowerment" fusion paradigm issystematically reshaping industrial development trajectories and societal operations.It not only opens up new growth avenues for operators and the industrial chain butalso provides unprecedented foundational support and innovative possibilities for therefinement of social governance, the digital and intelligent transformation across allindustries, and the intelligent enhancement of users' daily life experiences. Economic Value:Unlocking Large-Scale Potential Throug