Report Industry Investment Rating - Not provided in the content Core Viewpoints of the Report - Last week (from January 5th to January 9th, 2026), the median weekly return of equity ETFs was 4.31%. Among broad - based ETFs, the median return of Science and Technology Innovation Board ETFs was 10.15%, the highest. By sector, the median return of technology ETFs was 7.28%, the highest. By theme, the median return of military - themed ETFs was 13.50%, the highest [1][12][16]. - Last week, equity ETFs had a net redemption of 803 million yuan, but the overall scale increased by 18.0114 billion yuan. Among broad - based ETFs, CSI 500ETF had the most net subscriptions, reaching 3.648 billion yuan; by sector, cyclical ETFs had the most net subscriptions, at 13.524 billion yuan; by hot theme, pharmaceutical ETFs had the most net subscriptions, at 892 million yuan [1][2][28]. Summary by Relevant Catalogs ETF Performance - The median weekly return of equity ETFs last week was 4.31%. The median returns of Science and Technology Innovation Board ETFs, CSI 500ETF, CSI 1000ETF, A500ETF, ChiNext - related ETFs, SSE 50ETF, and CSI 300ETF were 10.15%, 7.89%, 7.05%, 4.22%, 3.87%, 3.38%, and 2.78% respectively. The median returns of commodity - type, cross - border, money - market, and bond - type ETFs were 2.92%, 2.55%, 0.02%, and - 0.01% respectively [1][12]. - By sector, the median returns of technology, consumer, cyclical, and large - finance sector ETFs among equity ETFs last week were 7.28%, 4.95%, 4.15%, and 1.82% respectively. By hot theme, the median returns of military, chip, and AI ETFs among equity ETFs were 13.50%, 11.17%, and 8.51% respectively, showing relatively strong performance, while the median returns of bank, dividend, and securities ETFs were - 1.88%, 1.62%, and 1.91% respectively, showing relatively weak performance [16]. ETF Scale Change and Net Subscription/Redeem - As of last Friday, the scales of equity, cross - border, and bond ETFs were 398.11 billion yuan, 101.07 billion yuan, and 76.46 billion yuan respectively. The scales of commodity - type and money - market ETFs were relatively small, at 26.47 billion yuan and 16.21 billion yuan respectively [20]. - Among broad - based ETFs, CSI 300ETF and A500ETF had relatively large scales, at 122.08 billion yuan and 29.96 billion yuan respectively. The scales of Science and Technology Innovation Board, CSI 500, CSI 1000, SSE 50, and ChiNext - related ETFs were relatively small, at 23.25 billion yuan, 21.00 billion yuan, 19.51 billion yuan, 18.99 billion yuan, and 18.02 billion yuan respectively [20]. - By sector, as of last Friday, the scale of technology sector ETFs was 47.09 billion yuan, followed by cyclical sector ETFs at 24.83 billion yuan. The scales of large - finance and consumer ETFs were relatively small, at 20.10 billion yuan and 19.19 billion yuan respectively. By hot theme, as of last Friday, the scales of chip, securities, and pharmaceutical ETFs were the highest, at 16.17 billion yuan, 14.31 billion yuan, and 10.88 billion yuan respectively [26]. - Last week, equity ETFs had a net redemption of 803 million yuan, and the overall scale increased by 18.0114 billion yuan; money - market ETFs had a net redemption of 1.0539 billion yuan, and the overall scale decreased by 1.0525 billion yuan. Among broad - based ETFs, CSI 500ETF had the most net subscriptions, at 3.648 billion yuan, and its scale increased by 1.8996 billion yuan; A500ETF had the most net redemptions, at 1.3087 billion yuan, and its scale decreased by 59.5 million yuan [28]. - By sector, last week, cyclical ETFs had the most net subscriptions, at 13.524 billion yuan, and their scale increased by 2.9669 billion yuan; technology ETFs had the most net redemptions, at 763 million yuan, and their scale increased by 3.5292 billion yuan. By hot theme, last week, pharmaceutical ETFs had the most net subscriptions, at 892 million yuan, and their scale increased by 893.9 million yuan; AI ETFs had the most net redemptions, at 538.9 million yuan, and their scale decreased by 9.2 million yuan [31]. ETF Benchmark Index Valuation - In broad - based ETFs, the price - to - earnings ratios of SSE 50ETF, CSI 300ETF, CSI 500ETF, CSI 1000ETF, ChiNext - related ETFs, and A500ETF were at the 89.27%, 90.68%, 100.00%, 100.00%, 66.50%, and 99.74% quantile levels respectively, and the price - to - book ratios were at the 73.68%, 75.83%, 100.00%, 79.37%, 67.90%, and 99.74% quantile levels respectively. Since December 31, 2019, the current price - to - earnings and price - to - book ratios of Science and Technology Innovation Board - related ETFs are at the 92.00% and 79.79% quantile levels respectively. Compared with the previous week, the valuation quantiles of CSI 1000 and Science and Technology Innovation Board ETFs increased significantly [34][36]. - As of last Friday, the price - to - earnings ratios of cyclical, large - finance, consumer, and technology sector ETFs were at the 87.54%, 29.87%, 37.87%, and 98.43% quantile levels respectively, and their price - to - book ratios were at the 83.91%, 57.34%, 45.26%, and 96.04% quantile levels respectively. Compared with the previous week, the valuation quantiles of consumer ETFs increased significantly [38]. - Among themed ETFs, the price - to - earnings quantiles of military, photovoltaic, and chip ETFs were relatively high, at 100.00%, 99.75%, and 98.60% respectively; the price - to - book quantiles of AI, robot, and dividend ETFs were relatively high, at 100.00%, 98.93%, and 98.35% respectively. Compared with the previous week, the valuation quantiles of pharmaceutical ETFs increased significantly [39][42]. - Overall, among broad - based ETFs, the valuation quantiles of ChiNext - related ETFs and SSE 50ETF were relatively low; by sector, the valuation quantiles of large - finance and consumer ETFs were relatively moderate; by sub - theme, the valuation quantiles of liquor and new energy vehicle ETFs were relatively low [43]. ETF Margin Trading - As of last Thursday, the margin trading balance of equity ETFs increased from 46.967 billion yuan in the previous week to 48.697 billion yuan, and the short - selling volume increased from 2.394 billion shares in the previous week to 2.420 billion shares [44]. - Among the top 10 ETFs with the highest average daily margin purchases and short - selling volumes from last Monday to Thursday, securities ETFs and Science and Technology Innovation Board ETFs had relatively high average daily margin purchases, while CSI 300ETF and CSI 1000ETF had relatively high average daily short - selling volumes [48][50]. ETF Managers - As of last Friday, Huaxia Fund ranked first in the total scale of listed non - money ETFs, and also had a relatively high management scale in multiple sub - fields such as scale index ETFs, theme, style, and strategy index ETFs, and cross - border ETFs; E Fund ranked second in the total scale of listed non - money ETFs, and had a relatively high management scale in scale index ETFs and cross - border ETFs; Huatai - PineBridge Fund ranked third in the total scale of listed non - money ETFs, and had a relatively high management scale in scale index ETFs and theme, style, and strategy index ETFs [52]. - Last week, 2 new ETFs were established, namely GF China Securities Industrial Software Theme ETF and ICBC ChiNext New Energy ETF. This week, 9 ETFs will be issued, including Penghua China Securities Consumer Electronics Theme ETF, Yin Hua S&P Hong Kong Stock Connect Low - Volatility Dividend ETF, Fullgoal China Securities Smart - Selected Shipbuilding Industry ETF, Guotai Hang Seng Biotechnology ETF, China Merchants China Securities Photovoltaic Industry ETF, Ping An Hang Seng Hong Kong Stock Connect Technology Theme ETF, Qianhai Kaiyuan Hang Seng Hong Kong Stock Connect Technology Theme ETF, Taikang China Securities Non - ferrous Metal Mining Theme ETF, and Invesco Great Wall China Securities Non - ferrous Metal Mining Theme ETF [55].

记者7日从工业和信息化部获悉，工业和信息化部印发《工业互 联网和人工智能融合赋能行动方案》（以下简称《方案》），推动工 业互联网与人工智能融合赋能水平提升。 基础底座升级行动方面，支持工业企业推动工业网络控网算一体化演 进和能力升级，推进重点行业开展新型工业网络改造等。数据模型互 通行动方面，加强工业数据汇聚共享；建立全国工业数据目录，推动 多源异构工业数据联通共享等。应用模式焕新行动方面，鼓励工业企 业加快平台化设计、智能化生产、个性化定制等应用模式变革等。产 业生态融通行动方面，鼓励工业互联网企业、人工智能企业等加快打 造一批具备智能系统集成能力的解决方案等。（记者 崔爽） 《方案》部署实施4项行动，推动工业互联网和人工智能在更广范 围、更深程度、更高水平上释放融合赋能效应。 《方案》提出，到2028年，满足人工智能工业应用高通量、低时 延、高可靠通信需求的新型工业网络规模持续扩大，在原材料、装备 制造、消费品、电子信息等重点行业工业企业加快部署应用，推动不 少于5万家企业实施新型工业网络改造升级；工业数据汇聚、治理、 流通、共享体系不断完善，在20个重点行业打造一批高质量数据 集。 ...

Core Viewpoint - Kaos has been recognized as the top industrial internet platform in China for seven consecutive years, receiving the highest "A" rating from the Ministry of Industry and Information Technology, highlighting its technological innovation, application empowerment, and industry influence [1][3]. Group 1: Company Achievements - Kaos COSMOPlat has been awarded the highest "A" rating in the dynamic evaluation of cross-industry and cross-field industrial internet platforms [1][2]. - The platform has established the only national key laboratory for large-scale personalized customization in the industry and has been approved to build the National New Generation Artificial Intelligence Open Innovation Platform [3][6]. - Kaos has developed the Tianzhi Industrial Model, which integrates vast data and expert algorithms, creating multiple industry-specific models that enhance operational efficiency [5][6]. Group 2: Technological Innovations - The Tianzhi Industrial Model has been implemented in various sectors, including petrochemicals and home appliances, resulting in a 10% reduction in labor and energy costs for enterprises [6]. - The platform has created intelligent assistants and optimization models that facilitate digital transformation in industries, including the development of sustainable practices [6][8]. - Kaos has actively participated in the formulation of 17 international standards and 102 national and industry standards, leading the industry in standard-setting efforts [8]. Group 3: Industry Impact - The platform has empowered multiple industries, including home appliances, automotive, and chemicals, contributing to the establishment of 16 global lighthouse factories with a brand value of 116.335 billion [8]. - Kaos has introduced an innovative "1+N+X" model for urban empowerment, successfully implemented in several cities across China [8]. - The company aims to facilitate the deep integration of industrial internet and artificial intelligence, focusing on scenario-based applications and industry-specific solutions to promote high-quality and sustainable economic development [9].

Core Viewpoint - The Ministry of Industry and Information Technology (MIIT) has announced the dynamic evaluation results for industrial internet platforms for 2025, with Kaos ranking first and maintaining the highest "A" rating for seven consecutive years, recognized for its technological innovation, application results, and industry influence [1][6]. Group 1: Company Achievements - Kaos IoT Technology Co., Ltd. has been awarded the highest "A" rating for its COSMOPlat industrial internet platform, leading the evaluation results [4]. - The platform has been recognized for its contributions to AI and industrial internet technology innovation, including the establishment of a national key laboratory for large-scale personalized customization [6][7]. - Kaos has developed multiple industry-specific large models, such as the Tianzhi model for petrochemicals and energy carbon, which have led to significant cost reductions in various sectors [7]. Group 2: Industry Impact - The COSMOPlat platform has empowered various industries, including home appliances, automotive, and chemical sectors, and has participated in the creation of 16 global lighthouse factories, with a brand value of 116.335 billion yuan [7]. - The platform has introduced an industrial internet city empowerment model, which has been implemented in several cities across China, enhancing local digital economies [7]. - Kaos has played a significant role in the development of international standards, leading to the establishment of 17 international standards and 102 national and industry standards, positioning itself as a leader in the field [8]. Group 3: Future Directions - Looking ahead, Kaos aims to focus on scenario-based applications and deepen industry engagement, facilitating the transition of manufacturing enterprises from technology application to model innovation, thereby supporting high-quality and sustainable economic development [8].

Core Insights - The automotive industry is set to benefit significantly from the integration of industrial internet and artificial intelligence, as outlined in the recently released action plan by the Ministry of Industry and Information Technology [2][3] - The plan aims for a deeper and broader integration of these technologies by 2028, addressing current challenges in the manufacturing sector and enhancing global competitiveness [3][9] Policy Guidance - The action plan emphasizes the importance of integrating industrial internet and AI to drive new industrialization and improve productivity in the automotive sector [3] - Specific actions will target issues such as industrial network communication bottlenecks and data quality, facilitating a smoother digital transformation for manufacturers [3][4] Quality Control Enhancements - The establishment of an industrial data sharing system will allow automotive companies to integrate data across the entire production process, improving quality prediction and defect prevention [4] - Real-time data collection and AI algorithms will shift quality control from reactive to proactive measures, significantly enhancing product quality [4] Production Efficiency - New industrial network upgrades will enable high-speed, stable communication between devices, optimizing production processes and reducing idle time [4] - The integration of AI in scheduling will lead to improved overall efficiency and lower production costs [4] Innovation in Applications - The plan encourages the development of intelligent solutions, fostering advancements in areas like autonomous driving and smart cockpit design [4][5] - Virtual simulation technologies will allow for extensive testing during product development, reducing time and costs associated with R&D [4] Supply Chain Optimization - The industrial internet will break down data silos within the automotive supply chain, enhancing communication and collaboration among suppliers, manufacturers, and logistics providers [6] - Real-time data sharing will enable better resource allocation and coordination across the supply chain, improving overall efficiency [6] Ecosystem Development - The action plan supports the creation of a collaborative ecosystem in the automotive industry, where various stakeholders can share resources and data [7] - Leading automotive companies will drive this ecosystem, fostering partnerships with suppliers and software developers to enhance quality and efficiency [7][8] Platform Integration - An industrial internet platform will serve as a central hub for connecting various resources, facilitating data sharing and innovation [8] - This platform will provide comprehensive services, helping companies reduce costs and improve competitiveness [8] Competitive Advantage - China's automotive industry is positioned to leverage its strengths in industrial internet infrastructure and AI development to gain a competitive edge globally [9] - The integration of these technologies is expected to transform China from a follower to a leader in the global smart manufacturing landscape [9]

记者7日获悉,工业和信息化部办公厅日前印发《工业互联网和人工智能融合赋能行动方案》,提出到2028 年,工业互联网与人工智能融合赋能水平显著提升,推动不少于50000家企业实施新型工业网络改造升级, 在20个重点行业打造一批高质量数据集,培育一批智能化解决方案供应商。 新华 ...

新华社发 木锦 制图 新华社图表，北京，2026年1月7日 记者1月7日获悉，工业和信息化部办公厅日前印发《工业互联网和人工智能融合赋能行动方案》，提出 到2028年，工业互联网与人工智能融合赋能水平显著提升，推动不少于50000家企业实施新型工业网络 改造升级，在20个重点行业打造一批高质量数据集，培育一批智能化解决方案供应商。 我国提出到2028年 推动不少于5万家企业 实施新型工业网络改造升级 工业和信息化部办公厅日前印发 《工业互联网和人工智能 融合赋能行动方案》 提出到2028年 工业互联网 与 人工智能 融合赋能水平显著提升 推动不少于50000家企业 实施新型工业网络改造升级 在20个重点行业 打造一批高质量数据集 培育一批智能化解决方案 供应商 ( 新华社发(木锦 制图) ...

1月8日，上证指数盘中翻红，AI板块涨跌互现。截至13：02，云计算50ETF（516630）大幅上涨 1.89%，盘中涨幅一度超2%；创业板人工智能ETF华夏（159381）下跌0.26%；5G通信ETF （515050）回调0.81%，长芯博创、中际旭创、中瓷电子等前期热门个股领跌。 5G通信ETF（515050）跟踪中证5G通信主题指数，最新规模近80亿元，深度聚焦英伟达、苹果、 华为产业链。指数前五大持仓股：中际旭创、新易盛、立讯精密、工业富联、兆易创新。相关ETF全 称：华夏中证5G通信主题ETF（515050），场外联接（A类：008086；C类：008087） 云计算50ETF（516630）跟踪云计算指数（930851）。该指数的AI算力含量较高，覆盖了光模块& 光器件、算力租赁、数据中心、AI服务器、液冷等热门算力概念。云计算50ETF（516630）为跟踪该指 数合计费率最低的ETF。场外联接（A类：019868；C类：019869） 每日经济新闻 （责任编辑：张晓波 ） 【免责声明】本文仅代表作者本人观点，与和讯网无关。和讯网站对文中陈述、观点判断保持中立，不对所包含内容 的准确性、可靠 ...

Industry Standards and Regulations - The National Energy Administration has released key industry standards to regulate energy project planning, construction, and safety management, including guidelines for distributed energy sources [2] - Starting May 1, 2026, the National Energy Administration will implement the "Public Credit Information Management Measures for the Energy Industry," establishing a unified platform for credit information collection and sharing [2] - The International Energy Agency has issued important implementation details for the management of renewable energy green power certificates, with one certificate issued for every 1,000 kilowatt-hours of renewable energy generated [2] Industrial Developments - The Ministry of Industry and Information Technology has launched an action plan to integrate industrial internet and artificial intelligence, focusing on key industries such as steel, aviation, and power [3] - China's deepest offshore wind power project, the Huaneng Shandong Peninsula North Sea project, has successfully connected to the grid, marking a breakthrough in deep-sea offshore wind power operations [3] - A new low-carbon cement production system has been developed by Shandong University, utilizing green hydrogen in the limestone decomposition process, significantly reducing energy consumption and carbon emissions [3] Energy Projects - The construction of the Hunan Miluo Pumped Storage Power Station has made significant progress, with the successful completion of the spillway tunnel, marking a new phase in the project's flood control and structural construction [4] Company Performance - China Nuclear Power reported a cumulative commercial power generation of 244.43 billion kilowatt-hours for the year 2025, representing a year-on-year increase of 12.98%, with grid-connected power generation also increasing by 13.15% [7]

在基础底座升级方面，《行动方案》指出，支持工业企业推动工业网络控网算一体化演进和能力升级， 推进重点行业开展新型工业网络改造。同时，要强化工业互联网平台要素连接、智能分析、资源配置能 力，探索依托工业互联网平台打造"模型池"，形成一批面向典型场景的工业智能体应用。 在数据模型互通方面，鼓励工业互联网企业、工业数据服务商等联合开展工业数据清洗、标注、合成、 评估，推动工业数据分类分级安全管理，打造一批高质量行业数据集。同时，将加快打造一批面向重点 行业的工业大模型、开发一批面向应用场景的专用小模型。 在应用模式焕新方面，鼓励工业企业加快平台化设计、智能化生产、个性化定制、网络化协同、服务化 延伸、数字化管理、精细化投融、可视化治理等应用模式变革，提升研发设计、生产制造、运维管理等 环节智能化水平。 值得关注的是，《行动方案》还提出要实施工业互联网与重点产业链"链网协同"工程，在钢铁、航空、 电力、石化化工、医药等重点行业编制、发布、更新、推广一批融合应用参考指南。 证券时报记者 韩忠楠 近日，工业和信息化部印发《工业互联网和人工智能融合赋能行动方案》（以下简称《行动方案》）， 明确以推动信息化和工业化深度融合为 ...