Macro Economic Overview - The macroeconomic report indicates that the Shanghai Composite Index rose by 2.79% this week, with the CSI 300 index futures increasing by 3.20% [1][3][13] - The report highlights a significant increase in commodity futures, with coking coal futures up by 6.50% and iron ore futures up by 3.23% [3][13] - The annualized yield of Yu'ebao (a money market fund) decreased by 2 basis points to 1.03%, while the yield on ten-year government bonds rose by 4 basis points to 1.88% [3][13] Employment Data Analysis - The U.S. non-farm payrolls data for December 2025 showed a mixed picture, with new jobs added decreasing to 50,000, down by 14,000 month-on-month, indicating weakness in the private sector, particularly in manufacturing [4] - Average hourly earnings in the private sector increased by 3.8% year-on-year, with the unemployment rate at 4.4%, down by 0.1 percentage points [4] Asset Allocation Recommendations - The report maintains the asset allocation order as follows: equities > commodities > bonds > cash, suggesting an overweight position in stocks and a cautious stance on bonds and cash [5][6] - The report emphasizes the importance of monitoring the implementation of incremental policies in the stock market [6] Commodity Market Insights - The commodity futures index increased by 4.01% this week, with notable gains in precious metals (6.84%) and non-ferrous metals (5.19%) [52] - Lithium carbonate saw a significant price increase of 17.80%, while industrial silicon experienced a decline of 1.56% [52][53] Real Estate and Automotive Sector Trends - The report notes a decline in the transaction area of commercial housing in 30 major cities, with a weekly transaction area of 226.42 million square meters, but anticipates stabilization due to supportive policies [37] - In the automotive sector, wholesale and retail sales of passenger vehicles showed a year-on-year increase of 45% and 17%, respectively, indicating strong consumer demand [43]

分红方面，鼎捷数智A股上市后累计派现3.11亿元。近三年，累计派现6558.80万元。 机构持仓方面，截止2025年9月30日，鼎捷数智十大流通股东中，华安中小盘成长混合（040007）位居 第五大流通股东，持股262.65万股，相比上期增加5.07万股。香港中央结算有限公司位居第六大流通股 东，持股247.26万股，为新进股东。中欧互联网混合A（010213）位居第八大流通股东，持股191.15万 股，相比上期减少123.24万股。招商优势企业混合A（217021）、富国新兴产业股票A（001048）、财 通资管数字经济混合发起式A（017483）退出十大流通股东之列。 责任编辑：小浪快报 融券方面，鼎捷数智1月9日融券偿还1.04万股，融券卖出2900.00股，按当日收盘价计算，卖出金额 15.57万元；融券余量5.68万股，融券余额304.90万元，超过近一年90%分位水平，处于高位。 资料显示，鼎捷数智股份有限公司位于上海市静安区江场路1377弄绿地中央广场1号楼22层，成立日期 2001年12月26日，上市日期2014年1月27日，公司主营业务涉及制造业、流通业及小微企业提供数字化 转型、智能制造与 ...

Core Insights - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative by eight departments, aiming to accelerate the integration of AI with the manufacturing sector and promote intelligent transformation [2][4] - The Ministry of Industry and Information Technology (MIIT) emphasizes that developing AI is essential for achieving new industrialization, focusing on both technology supply and application empowerment [3] - The initiative outlines seven key tasks and 21 specific measures to enhance the intelligent, green, and integrated development of the manufacturing industry [4][5] Group 1: Key Tasks and Goals - The initiative aims to apply 3 to 5 general large models in manufacturing by 2027, create 100 high-quality industrial data sets, and promote 500 typical application scenarios [4] - It seeks to cultivate 2 to 3 globally influential leading enterprises and a number of specialized small and medium-sized enterprises, establishing a robust ecosystem for AI in manufacturing [4] - The goal is to build a globally leading open-source ecosystem and enhance security governance capabilities [4] Group 2: Industry-Specific Guidelines - The "Guidelines for Key Industry Transformation" provide direction for sectors such as raw materials, equipment manufacturing, consumer goods, electronics, and software services [6] - In the automotive sector, the guidelines emphasize accelerating the intelligent upgrade of the entire supply chain, including the development of automotive large models for design optimization [6] - The integration of AI in manufacturing is seen as a critical factor for driving innovation in research and design, improving production efficiency, and optimizing supply chain management [6][11] Group 3: Industrial Internet and AI Integration - The integration of industrial internet and AI is highlighted as a key driver for new industrialization, with plans to enhance the level of integration by 2028 [7][8] - The initiative includes expanding new industrial networks to meet the demands of AI applications and improving data governance and sharing systems [7] - The focus is on creating a collaborative ecosystem that promotes the application of AI and industrial internet across various key industries [7][8] Group 4: Local Initiatives and Developments - Various local governments are launching their own "AI+" initiatives to drive high-quality development, with specific action plans and targets [9][10] - For instance, Shanghai aims to add 100 manufacturing enterprises with over 1 billion yuan in annual output by 2028 [9] - The establishment of dedicated AI development agencies in cities like Guangzhou and Zhuhai reflects a growing commitment to fostering AI innovation at the local level [10]

Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative by the Ministry of Industry and Information Technology (MIIT) and other departments, aiming to accelerate the integration of AI with the manufacturing sector and promote intelligent transformation in the industry [3]. Group 1: Key Tasks and Goals - The initiative outlines seven key tasks including innovation foundation, intelligent upgrade, product breakthroughs, entity cultivation, ecological expansion, safety protection, and international cooperation, with 21 specific measures to enhance the intelligent, green, and integrated development of manufacturing [5]. - By 2027, the goal is to promote the deep application of 3 to 5 general large models in manufacturing, create 100 high-quality industrial data sets, and establish 500 typical application scenarios [5]. Group 2: Industry Transformation Guidelines - The "Guidelines for Key Industry Transformation Empowered by AI" provide direction for sectors such as raw materials, equipment manufacturing, consumer goods, electronic information, and software services [6]. - In the automotive sector, the guidelines emphasize accelerating the intelligent upgrade of the entire supply chain, including the development of automotive large models for design and optimization [6]. Group 3: Industrial Internet and AI Integration - The integration of industrial internet and AI is highlighted as a crucial aspect of the initiative, with plans to enhance the level of integration by 2028, including the deployment of new industrial networks in over 50,000 enterprises [9]. - The article notes that AI is transitioning from being an auxiliary tool to becoming a core engine for industrial internet, enhancing capabilities such as real-time optimization and intelligent scheduling [10]. Group 4: Local Initiatives and Developments - Various local governments are actively promoting AI initiatives, with Shanghai aiming to add 100 manufacturing enterprises with over 1 billion yuan in annual output by 2028 [12]. - The establishment of dedicated AI development agencies in cities like Guangzhou and Zhuhai reflects a growing commitment to fostering AI innovation and integration within local industries [13].

Core Viewpoint - The Chinese government is accelerating the integration of artificial intelligence (AI) with the manufacturing sector to promote intelligent transformation and drive economic growth through the issuance of the "AI + Manufacturing" implementation opinions and the "Industrial Internet and AI Integration Empowerment Action Plan" [1][2]. Group 1: Key Tasks and Goals - The "Opinions" outline seven key tasks including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecological expansion, safety protection, and international cooperation, with 21 specific measures to enhance the intelligent, green, and integrated development of manufacturing [2][3]. - By 2027, the plan aims to implement 3 to 5 general large models in manufacturing, create 100 high-quality industrial data sets, and promote 500 typical application scenarios [2][3]. Group 2: Industry Focus and Applications - The focus industries for AI integration include raw materials, equipment manufacturing, consumer goods, electronic information, and software services, with specific guidance provided for each sector [3][4]. - In the automotive sector, the plan emphasizes the intelligent upgrade of the entire supply chain, including the development of large models for automatic design and optimization of vehicle parameters [3][4]. Group 3: Infrastructure and Support - The "Action Plan" emphasizes the need for new industrial networks to support AI applications, targeting the deployment of these networks in over 50,000 enterprises by 2028 [6][7]. - The plan also aims to enhance the quality of industrial data collection and sharing in 20 key industries, establishing a robust data governance framework [6][7]. Group 4: Local Initiatives - Various local governments are launching their own AI initiatives, such as Shanghai's three-year action plan to support advanced manufacturing and Beijing's plan to establish itself as an AI innovation hub [8][9]. - The establishment of dedicated AI development agencies in regions like Guangzhou and Zhuhai signifies a growing commitment to fostering AI-driven economic growth [9].

Group 1 - The core viewpoint of the news is the promotion of the integration of artificial intelligence (AI) with the manufacturing industry, aiming to accelerate the intelligent transformation of manufacturing and enhance economic growth through AI technology [1][2][4]. - The Ministry of Industry and Information Technology (MIIT) and eight other departments have issued the "Implementation Opinions on the Special Action of 'AI + Manufacturing'," which outlines seven key tasks to promote the dual empowerment of AI technology and manufacturing applications [1][2]. - By 2028, the goal is to have at least 50,000 enterprises implement "AI + Industrial Internet" upgrades, significantly improving the integration level of industrial internet and AI [1][6]. Group 2 - The "Implementation Opinions" aim to drive the deep application of 3 to 5 general large models in manufacturing by 2027, creating specialized industry models and promoting 500 typical application scenarios [2][3]. - The focus is on fostering 2 to 3 globally influential leading enterprises and a batch of specialized small and medium-sized enterprises, while establishing a global leading open-source ecosystem [2][3]. - Specific measures include promoting the development of intelligent chips, supporting breakthroughs in key technologies, and enhancing the safety governance capabilities of AI [3][4]. Group 3 - The industrial internet is identified as a crucial carrier for the integration of AI and manufacturing, with plans to expand new industrial networks to meet the demands of AI applications [6][7]. - The MIIT emphasizes that AI is transitioning from being an auxiliary tool to becoming a core engine for industrial internet, enhancing real-time optimization and intelligent scheduling capabilities [7][8]. - Local governments are actively formulating their own "AI +" plans to drive high-quality development across various industries, with specific targets for manufacturing enterprises and AI core industry growth [8][9].

格隆汇1月9日丨*ST新元(300472.SZ)公布，为充分保障和进一步增强公司持续经营能力，公司拟通过优 质业务导入强化构建稳定的营收来源。公司拟拓展工业互联网、智慧城市等领域数字化服务业务，提升 公司业务规模。产品包括ICT基础设施建设服务，网络与数据安全服务、业务系统软件开发服务等。为 确保相关业务合法合规、高效有序落地，经管理层研究，拟在公司注册地抚州市设立全资子公司，实现 相关业务的注入、管理和规范运作。 ...

*ST新元公告，公司拟在抚州市临川区设立全资子公司，注册资本2000万元，业务涵盖工业互联网、智 慧城市等领域数字化服务，产品包括ICT基础设施建设服务、网络与数据安全服务、业务系统软件开发 服务等。 ...

Group 1 - The "AI + Manufacturing" model enterprise cultivation project was launched in Shanghai, selecting the first batch of 10 model enterprises to create a nationwide influential benchmark [1] - Shanghai aims to leverage the advantages of "AI + Manufacturing" to accelerate application in key industries, supporting the creation of model enterprises and strengthening key element support [1] - Since 2022, Shanghai has cultivated 42 "industrial chain leaders," linking over 360,000 enterprises and empowering more than 7,000 core enterprises, resulting in a 20% reduction in operational costs and a 10% decrease in equipment energy consumption [1] Group 2 - The third batch of 21 "industrial chain leaders" was officially announced, and the "2025 Shanghai AI + Manufacturing Development White Paper" was released, showing a 5.7% year-on-year growth in industrial output value for the first three quarters of 2025 [2] - The artificial intelligence industry in Shanghai has seen explosive growth, with 394 AI enterprises and an industry scale of 435.49 billion yuan, representing a 39.6% year-on-year increase [2] - A national AI application pilot base in the manufacturing sector was signed for co-construction, focusing on addressing common challenges in high-end equipment R&D and manufacturing [2] Group 3 - Shanghai Unicom has established an industrial intelligent computing cloud service platform to reduce the cost of intelligent computing construction for enterprises, focusing on pain points in discrete manufacturing [3] - The platform offers low-latency distributed inference architecture and factory-level computing scheduling, providing an integrated AI application foundation for small and medium-sized manufacturing enterprises [3] - The service includes core offerings such as "corpus packages," "model packages," "tool packages," and "intelligent agent development packages," helping enterprises lower hardware and software development costs [3]

Core Viewpoint - China Shipbuilding Defense has shown significant stock performance and financial growth, indicating a positive outlook for the company in the defense and marine equipment sector [1][2]. Financial Performance - As of September 30, 2025, China Shipbuilding Defense achieved a revenue of 14.315 billion yuan, representing a year-on-year growth of 12.83% [2]. - The net profit attributable to shareholders reached 655 million yuan, marking a substantial increase of 249.84% year-on-year [2]. Stock Performance - The stock price of China Shipbuilding Defense increased by 10.93% since the beginning of the year, with a 10.93% rise over the last five trading days, 3.78% over the last 20 days, and 16.16% over the last 60 days [1]. - The stock was trading at 31.56 yuan per share with a market capitalization of 44.610 billion yuan as of January 9 [1]. Shareholder Information - The number of shareholders decreased to 75,900, a reduction of 3.14% compared to the previous period [2]. - The top ten circulating shareholders include significant institutional investors, with notable increases in holdings from certain funds [3].