Zheng Quan Ri Bao Zhi Sheng·2025-10-12 13:36Core Insights - China Mobile officially launched the upgraded "AI+" action plan and "AI+" ecological alliance, aiming to enhance the intelligent level of the economy and society, creating a new industrial ecosystem with a market scale of hundreds of billions [1][2] Group 1: Investment and Infrastructure - By the end of 2028, China Mobile plans to double its investment in artificial intelligence, establishing the largest and most advanced intelligent computing infrastructure in the country, with a target of exceeding 100 EFLOPS in national intelligent computing capacity [1][2] - The plan includes the construction of a 100,000-card intelligent computing cluster, which will serve as a "driving fuel" for the development of new productive forces [1] Group 2: AI Model and Data - The initiative aims to elevate the "Nine Sky" model to an internationally leading position, providing ubiquitous and inclusive "model as a service" to enhance economic and social efficiency [1][2] - China Mobile will strengthen the supply capacity of high-quality data sets across 15 industries, positioning itself as a "core mine" for intelligent ecological value extraction [1] Group 3: Application and Collaboration - The plan emphasizes deep integration of AI across various sectors, with a goal to implement over 3,000 AI+DICT projects, empowering industries such as new industrialization, government affairs, and agriculture [2][3] - China Mobile aims to accelerate the user base of its Lingxi intelligent system to over 200 million, creating a comprehensive intelligent service entry point [2] Group 4: Ecological Alliance and Global Outreach - The newly formed "AI+" ecological alliance focuses on resource sharing, capability co-construction, and value co-creation, with plans to expand over 1,000 high-value solution scenarios in collaboration with partners [3] - The initiative also aims to promote AI capabilities abroad, helping "Global South" countries share technological dividends and bridge the intelligence gap [2]