China Artificial Intelligence Industry Development Alliance: Breakthroughs in key technologies such as computing power chips and industrial large models, optimizing application ecosystems

On February 3, 2026, the 16th General Meeting of the China Artificial Intelligence Industry Development Alliance was held in Shijingshan, Beijing. Wang Jiangping, a member of the 14th National Committee of the Chinese People’s Political Consultative Conference, former Party Committee member and Vice Minister of the Ministry of Industry and Information Technology, and Chairman of the Strategic Committee of the China Artificial Intelligence Industry Development Alliance; Gan Xiaobin, Deputy Director of the Science and Technology Department of the Ministry of Industry and Information Technology; Yu Xiaohui, Director of the China Academy of Information and Communications Technology (referred to as “CAICT”); Ye Huiqing, member of the Party Committee and Chief Accountant of COFCO Group Co., Ltd.; Gao Tongqing, Deputy Director of the China Mobile Scientific and Technological Committee, former Deputy General Manager and Party Member of China Mobile Group, and Deputy Chairman of the Strategic Committee of the China Artificial Intelligence Industry Development Alliance; along with other government leaders and industry-academic-research experts and scholars attended the meeting. Over 300 representatives from alliance member units, industry, and academia participated offline. Wu Tongning, Deputy Director of the AI Research Institute of CAICT, presided over the opening ceremony.

Gan Xiaobin pointed out that the Ministry of Industry and Information Technology has thoroughly implemented the deployment of the Party Central Committee, insisting that manufacturing be the main battlefield for empowering artificial intelligence, and vigorously promoting “AI + Manufacturing” to go deeper and more practical. Next steps will focus on four key areas: first, strengthening the application foundation by breaking through key technologies such as computing chips and industrial large models; second, optimizing the application ecosystem by strengthening standard guidance and promoting open-source culture; third, expanding international cooperation by actively participating in multilateral mechanisms such as the United Nations, BRICS, and ASEAN for industry exchanges; fourth, improving application governance by innovating safety governance technical tools and strengthening industry self-discipline. Meanwhile, it is hoped that the alliance will play a greater role in building a more competitive industrial ecosystem.

Yu Xiaohui noted that under the national “AI +” strategy, China’s core AI industry is expected to surpass 1.2 trillion yuan in scale. Looking back at 2025, technological trends such as large models, computing power demand, intelligent agents, and embodied intelligence have become prominent, accelerating the cultivation of new productive forces and fostering new forms of intelligent economy. The alliance has also achieved fruitful results in ecosystem cultivation, standard research, industry services, and international cooperation. Moving forward, the alliance will continue efforts in five areas: first, building a national-level testing and verification platform to promote technological innovation; second, creating a high-value scenario database to deepen industry applications; third, promoting the linkage of chips, models, and industry-finance cooperation to foster ecological synergy; fourth, better serving industry internationalization and expanding the breadth and depth of international cooperation; fifth, actively conducting industry self-discipline to strengthen safety governance.

At the meeting, Wang Jiangping interpreted the “Implementation Opinions on Special Action for ‘AI + Manufacturing’.” He pointed out that “‘AI +’” is the direction for accelerating AI applications into real productive forces, with manufacturing being a key field for transforming scene advantages into intelligent advantages. The goal of the action is to achieve secure and reliable supply of core technologies by 2027, promote the deep application of 3 to 5 general large models, launch 1,000 high-level industrial intelligent agents, develop 100 high-quality data sets and 500 typical scenarios, cultivate 2 to 3 globally leading ecosystem companies and 1,000 benchmark enterprises, and build a globally leading open-source ecosystem. The action will focus on creating an autonomous and controllable full-stack technology system, promoting comprehensive and deep industry applications, building a high-level AI technology and application ecosystem, shaping international competitive advantages, and strengthening security guarantees to support the construction of a manufacturing powerhouse.

The alliance also held a series of important ceremonies, including the official launch of the second phase of the “AI Safety Commitment” (hereinafter referred to as the “Commitment”), promoting the transition of the “Commitment” from self-discipline disclosure to transparent and verifiable disclosure. Additionally, the alliance initiated the signing of special commitments for intelligent agents and generative engine optimization (GEO), aimed at responding to new challenges brought by new technologies; the “Green AI Development and Application Joint Initiative” was also officially released, aiming to strengthen green computing infrastructure, promote green AI hardware and software products, establish international standards and evaluation benchmarks, build a green AI ecosystem, demonstrate green AI application scenarios, and establish multi-party collaborative governance mechanisms.

Meanwhile, the alliance released six research results: “AI Hardware and Software AISHPerf Benchmark Tool 2026Q1” providing technical optimization suggestions and product selection support for supply and demand sides; “AI Safety Benchmark 2.0 Testing System” based on the self-developed large model safety testing and evaluation platform “Zhi Yue,” establishing a comprehensive safety assessment system; “Industry Digital Intelligence AI Safety Practice Research Report” which explores future directions in AI safety based on industry digitalization trends; “Algorithm Governance Research for Industry” constructing a trustworthy algorithm governance industry self-discipline framework centered on transparency, information protection, fairness, and content security; “Insurance Industry Intelligent Agent Deployment Roadmap Research Report (2025)” systematically reviewing the current state of intelligent agent technology and applications in insurance, providing references for industry ecosystem development; and “AI Empowerment Application Practice Guide,” clarifying implementation steps for AI empowerment applications and offering reliable, referenceable solutions for AI deployment and promotion.

Wang Kai, Director of the AI Research Institute of CAICT and leader of the alliance’s overall group, reported on the overall work. The alliance currently has 1,439 member units, 45 working groups, and in 2025 established a strategic committee, added 337 new members, conducted 223 industry activities, published 13 research reports and 58 technical standards, built multiple testing systems, and deepened international cooperation and local services. In 2026, the alliance will focus on national deployment, emphasizing five aspects: technological innovation, deepening industry applications, promoting ecological collaboration, advancing open cooperation, and strengthening security governance. Key projects include building high-value scenario databases and collecting pioneering cases. The alliance’s official website has gone live to provide digital services and will work with member units to further promote the deep integration of “AI +.”

In the industry sharing segment, Huawei’s Director of Industry ICT Solutions Planning and Marketing Operations, Bian Yingjie, shared “AI Empowering Thousands of Industries, Co-building an AI Industry Ecosystem,” calling for industry consensus, ecosystem prosperity, and healthy development of AI-powered industry applications. Zhu Shiyin, General Manager of the Advanced Technology Research Department of New H3C Group, elaborated on “Building Foundations for Intelligence, Leading the Future of Computing—AI Strategy and Practice Sharing,” deeply analyzing technological innovation and implementation practices, and exploring the value realization of AI infrastructure with industry partners. Zhong Zhenyu, Deputy Director of Ant Group’s Tianchen Laboratory and senior algorithm expert, introduced “HOP High-Order Intelligent Agents: Solving Trustworthy Application Challenges of Large Models in the Financial Sector,” noting that high-order programs have begun preliminary applications in data governance, financial risk modeling, and other industry scenarios, with significant efficiency improvements.

Regarding alliance working group development, three measures were implemented: the establishment of the Agriculture and Rural Development Promotion Group, Smart Port Promotion Group, and AI Application Service Provider Working Group; the upgrade of the original “Intelligent Software Engineering Working Group” to the Software Intelligence Committee, further expanding industry coverage and extending intelligent technology empowerment to the real economy; recognition of outstanding working groups and members from 2025 to motivate benchmark organizations and encourage all members to work together; new working groups and outstanding groups from 2025 shared their experiences, fostering development consensus and strengthening the alliance’s high-quality development.

The successful convening of this meeting not only comprehensively summarized the alliance’s annual achievements and showcased the phased results of the AI industry development but also, through policy interpretation, achievement releases, ecosystem co-building, and industry exchanges, gathered consensus from industry, academia, research, and application sectors, creating an efficient collaborative platform for the deep promotion of “AI +” initiatives and the integration of AI with the real economy. In the future, the alliance will continue to serve as a bridge, promoting technological innovation, application deepening, and ecosystem prosperity in AI, injecting stronger momentum into the construction of a new industrialization.

Source: China Academy of Information and Communications Technology (CAICT)

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