本文转载自第一财经 值班编辑 | 宝珠 视觉 | 诺言 今日下午，十四届全国人大四次会议举行经济主题记者会。国家发展和改革委员会主任郑栅洁、财政部 部长蓝佛安、商务部部长王文涛、中国人民银行行长潘功胜、中国证券监督管理委员会主席吴清就发展 改革、财政预算、商务、金融证券等相关问题回答中外记者提问。以下为记者会要点汇总： ►证监会主席 吴清： -目前A股总市值超过110万亿元； -"十五五"期间完善中国特色稳市机制建设； -股市风向标的作用更加凸显； -监管执法和投资者保护是核心职能，不能削弱、只能加强； -在狠抓上市公司真实性基础上，进一步提升可投性； -依法严查严处蹭热点、炒概念、搞操纵等侵害投资者利益的行为； ►央行行长 潘功胜： -今年将灵活高效运用降准降息等多种货币政策工具； -央行实施适度宽松的货币政策，强化央行政策与市场关切的交集度和针对性； -中国没有必要，也无意通过汇率贬值获取贸易竞争优势； -中国资产吸引力明显提高，将进一步推动双向开放迈上新台阶； -进一步完善基础制度，拓展私募股权和创投基金多重退出渠道； -创业板改革方案基本成型，将增设一套上市标准； -对符合条件的创业板企业实施IPO预 ...

2026.03. 06 本文字数：1645，阅读时长大约3分钟 今日下午，十四届全国人大四次会议举行经济主题记者会。国家发展和改革委员会主任郑栅洁、财政 部部长蓝佛安、商务部部长王文涛、中国人民银行行长潘功胜、中国证券监督管理委员会主席吴清就 发展改革、财政预算、商务、金融证券等相关问题回答中外记者提问。以下为记者会要点汇总： ►证监会主席 吴清： -目前A股总市值超过110万亿元； ►央行行长 潘功胜： -今年将灵活高效运用降准降息等多种货币政策工具； -央行实施适度宽松的货币政策，强化央行政策与市场关切的交集度和针对性； -中国没有必要，也无意通过汇率贬值获取贸易竞争优势； -"十五五"期间完善中国特色稳市机制建设； -股市风向标的作用更加凸显； -监管执法和投资者保护是核心职能，不能削弱、只能加强； -在狠抓上市公司真实性基础上，进一步提升可投性； -中国资产吸引力明显提高，将进一步推动双向开放迈上新台阶； -进一步完善基础制度，拓展私募股权和创投基金多重退出渠道； -创业板改革方案基本成型，将增设一套上市标准； -对符合条件的创业板企业实施IPO预先审阅； -严惩忽悠式再融资、违规变更募集资金用途； ...

Core Insights - The "Chao Hu Ming Yue" supercomputing center in Hefei and the Yichang advanced computing center have showcased their capabilities on national television, representing high-end computing power in China [1][6][7] - The Yichang computing center is a national-level major node that supports the development of supercomputing, intelligent computing, and big data technologies, contributing to the establishment of a digital industry cluster in the region [2] - The national supercomputing internet is the first integrated computing network and service platform in China, with over 1 million users and connections to more than 30 national supercomputing and intelligent computing centers across 14 provinces [5] Group 1 - "Chao Hu Ming Yue" has established a diverse and heterogeneous computing power system, integrating supercomputing, intelligent computing, quantum computing, and more, serving over 700 research institutions and high-tech enterprises since its operation [1] - The national supercomputing internet has been involved in the top-level design of national computing power and has been selected for the Ministry of Industry and Information Technology's action plan, contributing to the establishment of national standards [5] Group 2 - The collaboration between Hefei and Yichang centers is crucial for regional intelligent development and serves as a key hub in the national integrated computing network [5] - The advancements in computing power infrastructure signify a strong foundation for AI innovation and are expected to illuminate the path towards a digital China [7]

Core Insights - The strategic significance of the national supercomputing internet core node transcends a single computing center, redefining the accessibility and infrastructure of computing power [1] - The demand for AI large models is experiencing explosive growth, but the shortage of computing resources is a critical bottleneck for industrial upgrades [1][2] - The national supercomputing internet platform aims to activate computing power value and improve resource allocation efficiency, marking a significant milestone with the core node's trial operation on February 5, 2026 [1][2] Development Timeline - The "14th Five-Year Plan" proposed the strategic goal of building a national integrated computing network, elevating computing power to the status of essential infrastructure [2] - The deployment of the national supercomputing internet began in February 2023, with significant milestones including the establishment of a national supercomputing internet consortium and the construction of core nodes [2][3] - The core node construction project commenced in October 2023, with the platform expected to connect over 30 supercomputing centers across 14 provinces [2][3] Resource Pool and Management - The national supercomputing internet has formed a heterogeneous computing resource pool with over 150,000 accelerator cards and 2 million computing cores [3] - The platform aims to unify the management of these dispersed computing resources, creating an E-level (exaflop) heterogeneous computing resource pool that continues to expand [3] AI Application and Ecosystem - The supercomputing internet serves as a core connector in the industrial landscape, facilitating the last-mile connection between computing supply and demand [4] - The platform has already served over 1 million users, processing a peak of 1.03 million jobs in a single day, significantly lowering computing costs and usage barriers [4] - The AI community within the platform provides one-stop services for developers and enterprises, enabling intelligent scheduling of computing resources [4] Regional Development and Talent Cultivation - The core node in Zhengzhou is positioned to become a hub for computing power scheduling, effectively linking green computing resources in the west with demand from the east [5] - Plans include the construction of a 160,000 square meter research space and the training of over 3,000 advanced computing talents [5] Accessibility and Efficiency - The supercomputing internet aims to make computing power as accessible as water and electricity, addressing the "last mile" issue of computing applications [6] - The platform's integrated delivery model allows users to access powerful computing capabilities easily, supporting simultaneous use by millions of users [6] Open Ecosystem and Research Support - The platform has over 32,000 developers in its AI community, with major firms contributing open-source models and datasets [7] - Significant advancements in scientific computing have been achieved, with AI models dramatically improving efficiency in various fields, including meteorology and materials research [7] Future Outlook - The construction of the supercomputing internet ensures autonomous control over computing supply in critical areas, forming a complete internal circulation system for computing power [8] - As the national strategy progresses, the construction of the integrated computing network is expected to accelerate, balancing autonomy with open collaboration [8]

Core Insights - The article outlines the rapid development of artificial intelligence (AI) in China, highlighting over 6,000 AI companies and a core industry scale expected to exceed 1.2 trillion yuan, with a year-on-year growth of nearly 30% [2] - China has become the largest holder of AI patents globally, accounting for 60% of the total [2] - The shift in AI technology is moving from a "chat" paradigm to a more functional "intelligent agent" era, focusing on practical applications [2][4] Industry Trends - The number of AI companies in China has surpassed 6,000, with significant growth in the core AI industry expected to reach 1.2 trillion yuan [2] - The cumulative download of domestic open-source large models has exceeded 10 billion [2] - The AI industry is witnessing a transition from a focus on scale to a focus on efficiency and intelligence density, with companies like DeepSeek leading the way in addressing memory and stability challenges in large model training [4][5] Technological Advancements - The concept of "density law" is emerging, emphasizing the need for AI models to evolve in both capability and cost efficiency, moving from a scale-based approach to a density-based approach [5][6] - Innovations in algorithm architecture, such as sparse attention mechanisms, are becoming crucial for enhancing model inference efficiency [5] - The development of intelligent agents is accelerating, with these agents expected to possess autonomy, long-term memory, and the ability to understand complex tasks [10][11] Data Utilization - The focus is shifting from quantity to quality in data collection, with high-quality industry-specific datasets becoming essential for training AI models [21][24] - The data annotation industry is evolving from labor-intensive to knowledge-intensive, requiring specialized expertise to create high-quality datasets [20][21] - China's data production accounts for over a quarter of the global total, providing a rich resource for AI development [22][27] Application in Manufacturing - AI is increasingly being integrated into traditional industries, driving transformation and efficiency improvements [28][30] - The application of AI in manufacturing is expanding across research and development, production, and operational management, with significant growth expected in the coming years [31][33] - The Chinese government is actively promoting AI integration in manufacturing through various initiatives and policies [33][34] Social Impact - AI is transforming governance and public services, enhancing efficiency and responsiveness in urban management [37][38] - The integration of AI into consumer services is reshaping how businesses interact with customers, moving towards more personalized experiences [39][40] - The potential of AI to redefine human value and capabilities is being recognized, with a focus on fostering innovation and creativity [41]

Core Insights - The number of AI companies in China has exceeded 6,000, with the core AI industry expected to surpass 1.2 trillion yuan, reflecting a nearly 30% year-on-year growth [1] - China has become the largest holder of AI patents globally, indicating a significant advancement in AI technology and innovation [1] - The shift from a "Chat" paradigm to an "intelligent agent" era is recognized, emphasizing the need for AI to solve real-world problems [2] Industry Development - The AI sector is experiencing a dual advancement: technological breakthroughs and application integration into various industries [2] - Major companies like Tencent and Baidu are rapidly deploying AI in real-world scenarios, with Tencent integrating its self-developed models into over 900 applications [2] - The competition in AI is now focused on who can effectively address specific problems, marking a transition in the industry [2] Computational Power - China has established 42 intelligent computing clusters, with a total computing power exceeding 1,590 EFLOPS, ranking among the top globally [5] - The development of computing power is characterized by a dual drive of government planning and market innovation, moving towards a more integrated national framework [6] - The "East Data West Computing" project has created eight major hub nodes, which account for over 80% of the national intelligent computing capacity [6] Data Utilization - The data annotation industry is evolving from labor-intensive to knowledge-intensive, focusing on high-quality industry-specific datasets [9] - High-quality data is becoming the focal point of AI competition, essential for training industry models to solve deep sector-specific issues [10] - China possesses a vast amount of data across various industries, which is seen as a valuable resource for AI development [10] Application in Traditional Industries - AI is increasingly being integrated into traditional industries, driving transformation and modernization [13] - The rapid growth in AI applications is reflected in the significant increase in daily token consumption, indicating widespread adoption [14] - AI applications are expanding across manufacturing, with notable increases in research, production, and operational management [16] Social Impact - AI is transforming governance and public services, enhancing efficiency and responsiveness in urban management [18] - The integration of AI into consumer services is changing how businesses understand and meet customer needs [18] - The focus on AI is shifting towards meeting societal demands, with initiatives aimed at fostering a comprehensive ecosystem of smart products [19] Safety and Regulation - The rise of AI-generated low-quality content has raised concerns about safety and ethical challenges, prompting discussions on regulatory frameworks [24][25] - The Chinese government is implementing policies to strengthen AI governance, emphasizing the need for a balanced approach to innovation and risk management [25]

Core Insights - The computing hardware sector is experiencing significant growth, driven by multiple favorable industry developments and strong market recognition of its long-term potential, particularly in the context of accelerating AI model deployment [1][2] Group 1: Industry Developments - In January 2026, several authoritative policies and industry benefits are set to inject strong momentum into the computing hardware industry, including the Ministry of Industry and Information Technology's action plan for green low-carbon development, which mandates specific energy efficiency standards for new intelligent computing centers and supercomputing centers [2] - The national infrastructure plan includes the integration of a nationwide computing network, with the National Data Bureau establishing multiple functional nodes and expanding coverage to 80% of provinces and cities, which will directly stimulate demand for AI servers and computing clusters [2] - The demand for AI servers is projected to grow by 50% year-on-year, with a significant increase in the number of intelligent computing centers and a persistent computing gap of 30%, indicating a continuously optimizing supply-demand landscape for computing hardware [2] Group 2: Beneficiary Sectors - The liquid cooling equipment sector is expected to benefit significantly from policy requirements and increased computing density, with the global liquid cooling data center market projected to exceed $20 billion in 2026, reflecting a 60% year-on-year growth [3] - The data center (IDC) industry is poised for a value reassessment in 2026, driven by the synergy of computing, models, and applications, with increased demand for construction and operation of intelligent computing centers and related supply chain components [3] - The AI sensor market is also anticipated to grow, with a projected market size of $30 billion in 2026, representing a 35% year-on-year increase, driven by increased procurement from companies like Tesla [3]

Core Viewpoint - The article discusses the rapid advancement of artificial intelligence (AI) and the increasing demand for computing power, highlighting the need for enhanced infrastructure and resource allocation in China to support this growth [3]. Group 1: AI and Computing Power Development - The Ministry of Industry and Information Technology and other departments have issued guidelines to strengthen AI computing power supply and promote the construction of a national integrated computing network [3]. - China's comprehensive computing power index shows progress in the computing industry ecosystem, but challenges remain in infrastructure balance and application depth [3][5]. - By mid-2025, China is expected to have published 1,509 large models, accounting for approximately 40.2% of the global total [5]. Group 2: Market Growth and Infrastructure - The global AI server market is projected to grow from $125.1 billion in 2024 to $158.7 billion in 2025, with China's AI computing power market expected to reach $25.9 billion in 2025, a year-on-year increase of 36.2% [6]. - The number of standard racks in data centers in China has increased from 3.15 million in 2019 to over 9 million by 2024, with a total of 10.85 million racks in use by mid-2025 [5][6]. Group 3: Regional Development and Resource Allocation - The comprehensive computing power index ranks Hebei, Jiangsu, and Guangdong as the top three provinces, while cities like Langfang, Zhangjiakou, and Guangzhou lead in computing power sub-index [5][17]. - The development of computing resources is shifting from core regions to broader areas, with cities leveraging local advantages to attract related industries [24]. Group 4: Energy Efficiency and Sustainability - The average Power Usage Effectiveness (PUE) of computing centers in China is 1.46, indicating progress in energy efficiency, but there is still significant room for improvement [25]. - Several provinces, including Hebei and Zhejiang, have made notable achievements in establishing national-level green data centers, contributing to over half of the total in the country [25].

Group 1 - The core viewpoint of the articles highlights the rapid growth of China's artificial intelligence (AI) computing power market, which is expected to reach $25.9 billion by 2025, reflecting a year-on-year increase of 36.2% [3][1] - The Ministry of Industry and Information Technology and other departments have issued guidelines to strengthen AI computing power supply and promote the construction of a national integrated computing power network [1][22] - The "Blue Book" on comprehensive computing power index indicates that while progress has been made in China's computing power ecosystem, challenges such as uneven infrastructure and insufficient application depth remain [1][2] Group 2 - As of mid-2025, China has released 1,509 large models, accounting for approximately 40.2% of the global total of 3,755 [2] - The number of standard racks in data centers in China has increased from 3.15 million in 2019 to over 9 million by 2024, with a total of 10.85 million racks in use by mid-2025 [2][9] - The top provinces for standard racks in use are Hebei, Guangdong, and Jiangsu, each exceeding 600,000 racks [2] Group 3 - The global AI server market is projected to grow from $125.1 billion in 2024 to $158.7 billion in 2025, with generative AI servers expected to increase their market share from 29.6% in 2025 to 37.7% by 2028 [3] - The comprehensive computing power index ranks Hebei, Jiangsu, and Guangdong as the top three provinces, while cities like Langfang, Zhangjiakou, and Dalian lead in computing power sub-index [14][21] Group 4 - The national strategy to accelerate the construction of an integrated computing power network is leading to a more extensive distribution of computing resources beyond core regions [21] - The average Power Usage Effectiveness (PUE) of computing centers in China is 1.46, indicating progress in energy efficiency, although there is still significant room for improvement [21] - The implementation of the "Opinions" encourages the use of cloud computing services to quickly build intelligent infrastructure capabilities, reducing technology investment costs [22]

Group 1 - The core message of Xi Jinping's speech at the Fifth Plenary Session of the 20th Central Commission for Discipline Inspection emphasizes the need to strengthen the Party's comprehensive leadership and advance strict governance with higher standards and practical measures [7] - The speech has sparked enthusiastic responses among attendees, who expressed commitment to deeply study and implement the spirit of the speech, ensuring the Party's self-revolution progresses steadily [7] Group 2 - During the "14th Five-Year Plan" period, China has significantly improved the efficiency of land resource utilization through various initiatives, including revitalizing inefficient and idle land [12] - The Ministry of Civil Affairs and other departments have introduced measures to promote the high-quality development of elderly care services and the silver economy, focusing on brand development and other key areas [13] - By 2030, China aims to achieve significant results in the special rectification of solid waste in key areas, as outlined in the recently released comprehensive governance action plan [14]