Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The integration of 5G-A and AI is driving a new wave of technological revolution and industrial transformation globally, with a focus on creating a unified infrastructure that supports digital transformation across various sectors [4][9] - The report emphasizes the need for a "computing-network-intelligence" integrated solution to address the challenges faced by traditional network architectures in supporting industrial control and smart manufacturing [5][11] - China Mobile proposes a "5G-A × AI integrated solution" that leverages its network advantages and technological innovation to enhance production efficiency, optimize operational costs, and improve security [5][19] Summary by Sections 1. Background of 5G-A and AI Integration - The integration of 5G-A and AI is positioned as a core driver for new industrialization in China, supported by national policies aimed at enhancing the synergy between AI and the real economy [9][10] - Key challenges include the lack of integration among diverse network types, difficulties in real-time response to business needs, and the need for intelligent operations management [11][12] 2. 5G-A × AI Integrated Technology System - The report outlines a technology system based on the principle of "computing as the engine, network as the foundation, and intelligence as the brain," promoting deep integration of connectivity, computing power, and capabilities [14][15] - The architecture includes an edge intelligent core network, heterogeneous computing platform, and intelligent driving center, which collectively enhance the capabilities of enterprises [16][19] 3. Key Capabilities of Computing-Network-Intelligence - The edge intelligent core network is supported by a computing platform that allows for lightweight and elastic deployment, ensuring efficient resource allocation and high reliability [21][22] - Features such as heterogeneous access, intent-driven networking, and multi-modal perception are highlighted as essential for enhancing enterprise private networks [27][28][33] 4. Application Cases - The report presents case studies demonstrating the effectiveness of the integrated solution, such as reducing PLC control transmission latency from 60ms to under 20ms, significantly improving operational efficiency [48][53] - Another case illustrates the implementation of intent-driven intelligent management for 5G private networks, addressing challenges in traditional network operations [54][55]