Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative by eight Chinese government departments, aiming for significant advancements in AI technology and its integration into the manufacturing sector by 2027 [1][6]. Group 1: Key Goals and Tasks - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position in industry scale and empowerment levels [3][6]. - The initiative outlines seven key tasks, including innovation foundation, intelligence upgrade, product breakthroughs, enterprise cultivation, ecosystem expansion, safety assurance, and international cooperation, with 21 specific measures to promote mutual empowerment between AI technology and manufacturing [1][7]. Group 2: Industry-Specific Pathways - The initiative customizes transformation pathways for five major industries: raw materials, equipment manufacturing, consumer goods, electronic information, and software and IT services, moving away from a one-size-fits-all approach [9][10]. - For the raw materials sector, the focus is on enhancing the intelligent level of the steel industry through dynamic modeling and real-time optimization [10]. - In the automotive industry, the initiative emphasizes the need for a comprehensive intelligent upgrade across the entire supply chain, including the development of large models for design optimization [10]. Group 3: Product Breakthroughs - The initiative promotes the iteration of intelligent equipment, including industrial robots and AI-driven medical devices, to enhance decision-making and operational capabilities [13]. - It also encourages the development of new AI terminals, such as smart home devices and AR/VR equipment, to accelerate commercialization [13]. Group 4: Enterprise Cultivation - The initiative proposes a tiered approach to enterprise cultivation, supporting the development of globally influential enterprises and encouraging local governments to provide resources like "computing power vouchers" and "model vouchers" to lower application costs for SMEs [2][14]. - It aims to foster a collaborative ecosystem where large enterprises build the framework while SMEs participate actively [15].

1月7日，工信部等八部门印发《"人工智能+制造"专项行动实施意见》（以下简称《意见》）。 《意见》提出，到2027年，推动3至5个通用大模型在制造业深度应用，形成特色化、全覆盖的行业大模 型，打造100个工业领域高质量数据集，推广500个典型应用场景。培育2至3家具有全球影响力的生态主 导型企业和一批专精特新中小企业，打造一批"懂智能、熟行业"的赋能应用服务商，选树1000家标杆企 业。建成全球领先的开源开放生态，安全治理能力全面提升，为人工智能发展贡献中国方案。 加快重点行业应用赋能 《意见》将"赋智升级：拓展推广高价值应用场景"放在专项行动的第二位，明确提出加快重点行业应用 赋能。 《意见》提出，要参考《指引》，分类制定"人工智能+制造"行业应用全景图和转型路线图，加快人工 智能赋能原材料、装备制造、消费品、电子信息、软件和信息技术服务等制造业相关重点行业，加快标 杆解决方案和经验推广应用。 《每日经济新闻》记者注意到，与《意见》一起发布的，还有两份配套附件，分别是《人工智能赋能制 造业重点行业转型指引》（以下简称《指引》）和《制造业企业人工智能应用指南》。 强化人工智能算力供给 《意见》把"创新筑基：夯 ...

Core Viewpoint - The joint issuance of the "Artificial Intelligence + Manufacturing" Special Action Implementation Opinions marks a significant step in China's systematic advancement of intelligent manufacturing, aiming for a transformative integration of AI into the manufacturing sector by 2027 [3][4]. Group 1: Key Objectives and Measures - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position in industry scale and empowerment levels globally [3][4]. - The implementation plan outlines seven key tasks, including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecosystem expansion, safety protection, and international cooperation, with 21 specific measures to promote mutual empowerment between AI technology and manufacturing applications [4][6]. Group 2: Industry-Specific Pathways - The guidelines provide tailored transformation pathways for five major industries: raw materials, equipment manufacturing, consumer goods, electronic information, and software and IT services, moving away from a one-size-fits-all approach [7][8]. - For the raw materials sector, the focus is on enhancing the intelligent level of the steel industry through the development of dynamic models covering the entire production process [8]. - In the equipment manufacturing sector, particularly in the automotive industry, the guidelines emphasize the need for a comprehensive intelligent upgrade across the entire supply chain [8]. Group 3: Empowerment and Support for Enterprises - The plan encourages the cultivation of enterprises through tiered support, including the provision of "computing power vouchers" and "model vouchers" to reduce application development costs for small and medium-sized enterprises [2][11]. - It aims to foster a collaborative ecosystem where large enterprises build the ecosystem while smaller enterprises participate, enhancing the overall innovation capacity [11][12]. Group 4: Technological Advancements and Product Innovation - The implementation plan emphasizes the need for breakthroughs in intelligent equipment, including the development of new-generation AI numerical control systems and smart medical devices [10]. - It also highlights the importance of upgrading intelligent terminals and promoting the commercialization of new types of devices, such as AR/VR wearables and brain-computer interfaces [10].

Core Development Trends: Structural Optimization and Resilience Enhancement - China's GDP is projected to reach 140 trillion yuan in 2025, with a year-on-year growth of approximately 5%, exceeding annual targets [3] - The industrial structure continues to optimize, with high-tech manufacturing value-added growth reaching 10%, and equipment manufacturing contributing over 55% to industrial growth [3] - New production sectors such as new energy vehicles and industrial robots see output growth exceeding 30% [3] Internal and External Demand Synergy - Consumption contributes 52% to economic growth, with retail sales of consumer goods expected to grow by 5% to 6.4% year-on-year [4] - Emerging consumption trends include "emotional consumption" and green health consumption, with increased penetration of new energy vehicles [4] - Exports are expected to grow by 9.3%, with Hainan Free Trade Port's first-year cargo throughput exceeding 80 million tons, indicating diversification in foreign trade to mitigate external risks [4] Core Support Elements: Innovation Drive and Policy Coordination - Significant breakthroughs in frontier technologies include the "China Fusion Reactor" achieving 150 million degrees ion temperature, with AI and quantum communication leading global innovation [4] - R&D investment intensity rises to 2.68%, with China entering the top ten in the global innovation index and improved patent conversion efficiency [4] Policy Precision and Macro Policy Initiatives - Monetary policy measures such as interest rate cuts and targeted support for "new infrastructure, new urbanization, and major projects" are aimed at reducing financing costs [6] - Comprehensive removal of foreign investment restrictions in manufacturing and alignment of Hainan Free Trade Port operations with international rules promote higher levels of openness [6] New Growth Points: Green Economy and Regional Coordination - Rapid acceleration of green transformation, with leading global installed capacity for wind and solar clean energy [6] - Regions like the Qaidam Basin leverage solar and wind resources to develop ecological industries, while PM2.5 concentration continues to decline [6] Regional Coordinated Development - Economic contributions from regions such as Beijing-Tianjin-Hebei, Yangtze River Delta, and Guangdong-Hong Kong-Macao Greater Bay Area are increasing [7] - County economies, exemplified by the sugar orange industry in Qingyuan, Guangdong, drive rural revitalization, increasing farmer income and employment [7] Challenges and Responses: Addressing Deep-Seated Contradictions - There are notable pressures from insufficient demand, with some sectors experiencing a mismatch between supply and demand, particularly in consumer spending recovery [8] - The recovery rate for tourism consumption is at 88.5%, indicating a lag in per capita consumption recovery compared to the increase in visitor numbers [8] Long-Term Transformation - Ongoing challenges include addressing "bottleneck" technologies in the industrial chain, such as high-end chips, and resolving real estate risks [9] - Key reforms in income distribution and social security are essential for unleashing domestic demand [9] Future Layout: "14th Five-Year Plan" Anchoring High Quality - Focus on core technology breakthroughs in AI and integrated circuits, with plans to establish three major international innovation centers in Beijing-Tianjin-Hebei [10] - Implementation of income increase plans for urban and rural residents to expand the middle-income group [10] Upgraded Openness - Deepening the international hub function of Hainan Free Trade Port and promoting trade diversification under the "Belt and Road" initiative are expected to enhance foreign trade resilience by 2026 [11] - The essence of China's economic shift towards "new and superior" is a dynamic process driven by innovation, optimized open systems, and solidified social welfare foundations [11]

下一步，连云港高新区将以此次拟立项为重要契机，深化双高协同试点建设，进一步扩大省内外高校院 所合作范围与内容，升级科技副总模式并出台成果转化激励制度，通过推广省数字平台、举办细分领域 路演等方式提升对接效率。同时，持续完善产学研合作质效评估体系，打通校企直接沟通渠道，推动合 作从项目对接向生态共建转型，让更多创新成果转化为实实在在的发展动能，为区域科技创新与产业高 质量升级注入更强劲的动力。 通讯员李丹辛玲扬子晚报/紫牛新闻记者张凌飞 校对陶善工 近日，江苏省科学技术厅公布2025年江苏省产学研合作项目拟立项清单，连云港高新区凭借扎实的合作 基础、创新的合作模式与强劲的产业需求，共有55个项目入选，充分彰显了区域产学研协同创新的深厚 底蕴与蓬勃活力。 作为连云港市科技创新与产业融合的核心引擎，高新区近年来始终将产学研合作作为激活创新动能、赋 能产业升级的关键抓手。区内集聚2所本科院校、2个部省属科研院所，拥有7个国家级企业技术中心及 90多个省级以上重点实验室、工程(技术)研究中心，12万各类技术人才构筑起全方位的智力支撑体系。 通过搭建校地合作联盟，常态化举办连云港北大化院产业发展大会、"双高协同"创新发展 ...

Core Viewpoint - China's economy is resilient and capable of overcoming significant challenges, with a focus on high-quality development and internal strengthening to address external pressures [1][3]. Group 1: Economic Performance - The expected economic growth for 2025 is around 5%, with a total economic output projected to reach 140 trillion yuan [3]. - Exports to ASEAN and the EU increased by 14.6% and 8.9% respectively, while exports to Belt and Road countries grew by 11.3% [2]. - Despite an 18.3% decline in exports to the US, total exports in dollar terms still grew by 5.4% [2]. Group 2: Industrial Development - The added value of equipment manufacturing and high-tech manufacturing industries grew by 9.3% and 9.2% respectively, outpacing overall industrial growth [3]. - The share of equipment manufacturing and high-tech manufacturing in total industrial output reached 36.4% and 16.7%, showing an increase from 2020 [3]. Group 3: Innovation and Reform - High-tech product exports, particularly integrated circuits, reached 1.29 trillion yuan, growing by 25.6% [4]. - New policies to promote the private economy and reduce market entry barriers have been implemented, enhancing the business environment [4]. Group 4: Environmental and Social Progress - Significant improvements in environmental quality, with PM2.5 concentration in the Beijing-Tianjin-Hebei region dropping to 31 micrograms per cubic meter, a 54% decrease from ten years ago [5]. - Social security spending as a percentage of GDP has doubled from 4% in 2012 to approximately 8%, aligning with levels in middle-income countries [5]. Group 5: Economic Indicators - The industrial profit of large enterprises increased by 0.1% year-on-year, maintaining growth for four consecutive months [6]. - The manufacturing purchasing managers' index rose to 50.1 in December, indicating expansion, while the non-manufacturing business activity index also returned to expansion territory [6].

Economic Growth and Development - During the "14th Five-Year Plan" period, the GDP of Xinxiang County increased from 21.77 billion to 31.8 billion, with per capita GDP exceeding 90,000, ranking first among eight counties and cities [2] - The general public budget revenue rose from 1.06 billion to 1.4 billion, with an average annual growth of 5.8%, maintaining an 80% tax ratio, also ranking first among eight counties and cities [2] - By the end of the "14th Five-Year Plan," the per capita disposable income of residents reached 35,000, which is 1.3 times that of the end of the "13th Five-Year Plan," maintaining the absolute first position among eight counties and cities [2] Strategic Focus for Future Development - Xinxiang County has identified eight key focus areas for economic work in 2026 to ensure a strong start for the "15th Five-Year Plan" [2] - The county aims to enhance domestic demand, integrate into the national unified market, and promote efficient governance reforms [3] - There is a focus on strengthening the real economy and building a modern industrial system, with plans to implement a "special industry cluster excellence upgrade plan" [3] Innovation and Industrial Development - The county plans to promote innovation-driven development and enhance the integration of technological and industrial innovation [3] - Efforts will be made to establish an industrial innovation alliance centered around leading enterprises and to develop the "Xinxiang Manufacturing" regional brand [3] - The goal is to attract and cultivate significant projects in sectors such as industrial robotics, artificial intelligence, biomanufacturing, and new energy [3] Rural Revitalization and Environmental Protection - Xinxiang County is committed to comprehensive rural revitalization, ensuring food security, and enhancing agricultural productivity [4] - The county aims to strengthen pollution prevention and accelerate the transition to a green and low-carbon economy, with specific targets for reducing emissions and increasing green manufacturing enterprises [4] - There is a focus on improving public services in education, healthcare, and social security to enhance the quality of life for residents [5] Governance and Safety - The county emphasizes the importance of balancing high-quality development with safety, implementing effective governance through party leadership and data-driven approaches [5] - There are measures in place to mitigate financial risks and ensure compliance with land protection policies [5] - The county aims to enhance community safety and maintain social stability through ongoing efforts against crime and illegal land use [5]

Core Viewpoint - The Ministry of Industry and Information Technology has released an action plan to promote the integration of artificial intelligence and industrial internet, aiming to upgrade over 50,000 enterprises by 2028, enhancing the capabilities of industrial internet and AI integration [1]. Group 1: Infrastructure Upgrade Actions - Accelerate the intelligent upgrade of industrial networks by utilizing technologies such as 5G, edge computing, and cloud control to support new industrial intelligent demands [1]. - Focus on developing new industrial network products like programmable logic controllers (PLC) and AI routers to enhance self-organizing and self-optimizing network capabilities [2]. Group 2: Enhancing Industrial Internet Platform Intelligence - Strengthen the capabilities of industrial internet platforms through deep learning and large models, encouraging low-code and no-code innovations to improve app development efficiency [3]. - Explore the creation of a "model pool" on industrial internet platforms to foster the development of industrial model products [4]. Group 3: Strengthening Industrial Computing Power Supply - Accelerate the integration of industrial internet with computing centers to provide public computing services to industrial enterprises [5]. - Encourage the deployment of edge computing devices and smart gateways to enhance real-time data processing capabilities [6]. Group 4: Data Model Interoperability Actions - Promote the application of information models in industrial enterprises to facilitate the sharing of heterogeneous industrial data [7]. - Establish a national industrial data directory by aggregating key supply chain and industrial data [8]. Group 5: Accelerating Industrial Model Development - Guide industrial internet platform companies to standardize and encapsulate industrial knowledge into models, enhancing their reasoning and data processing capabilities [9]. - Encourage the development of interconnected interfaces for industrial models to improve collaboration between large and small models [9]. Group 6: Application Model Transformation Actions - Encourage industrial enterprises to leverage industrial internet for data flow between consumption and production, and to adopt AI for intelligent analysis [10]. - Develop AI-based virtual production lines to enhance decision-making capabilities in production activities [10]. Group 7: Promoting Key Industry Applications - Implement "chain-network collaboration" projects in key industries such as steel, aviation, and electronics to facilitate digital transformation and intelligent upgrades [12]. Group 8: Strengthening Key Enterprise Cultivation - Promote the development of intelligent system integration capabilities among industrial enterprises and encourage the emergence of specialized service providers in industrial data and models [13]. Group 9: Accelerating Technological Product Innovation - Encourage collaboration among AI, industrial internet, and control enterprises to advance the intelligent upgrade of industrial communication technologies [14]. - Optimize industrial software development processes using AI to reduce costs and improve efficiency [15].

Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative, aiming to enhance the integration of AI technologies in the manufacturing sector by 2027, establishing China as a global leader in AI technology and application [1][6]. Group 1: Overall Requirements - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position in industry scale and empowerment levels globally. The initiative includes the application of 3-5 general large models in manufacturing, the launch of 1,000 high-level industrial intelligent entities, and the creation of 100 high-quality industrial data sets [6][5]. Group 2: Innovation Foundation - The initiative emphasizes strengthening AI computing power supply, supporting the development of intelligent chips and high-level computing facilities, and promoting the establishment of a national integrated computing network [7]. - It also focuses on developing high-performance algorithm models tailored for the manufacturing sector, encouraging the creation of industry-specific models and enhancing data governance capabilities [8][7]. Group 3: Application Empowerment - The initiative promotes the deep integration of AI in key manufacturing sectors, facilitating the development of intelligent factories and enhancing capabilities in design, production, and management processes [9][10]. - It encourages the establishment of AI application platforms to match supply and demand accurately, and supports the digital transformation of small and medium-sized enterprises [11][12]. Group 4: Product Breakthrough - The initiative aims to accelerate the iteration of intelligent equipment and the upgrade of smart terminals, including industrial robots and AI-driven medical devices, to enhance decision-making and operational capabilities [13][14]. - It also focuses on fostering new business models around intelligent entities and promoting the integration of AI with traditional software products [15][16]. Group 5: Ecological Growth - The initiative emphasizes the importance of standardization in AI development, encouraging participation in international standardization efforts and promoting an open-source ecosystem for AI projects [17][18]. - It aims to strengthen talent cultivation in the AI sector, ensuring a skilled workforce that understands both AI and manufacturing applications [19][18]. Group 6: Safety Assurance - The initiative outlines measures to enhance safety and security in AI applications, including the development of safety governance mechanisms and risk monitoring systems [20][21]. Group 7: International Cooperation - The initiative encourages international collaboration in AI, supporting enterprises in customizing AI products for different markets and participating in global AI discussions [21][20]. Group 8: Support Measures - The initiative calls for a comprehensive policy support system to facilitate the development of AI in manufacturing, including funding and resource allocation to promote new technologies and applications [22][23].

2026年1月7日，以"骏启新章 跃赴新程"为主题的东莞市上市公司协会2026年度大会举行。活动既是为 了总结过往、表彰先进，更是为了研判新形势、把握新机遇、凝聚新共识，共同探讨在"十五五"新赛道 上，如何更好地发挥资本市场功能，赋能实体经济，推动东莞在高质量发展的新征程上行稳致远、再攀 高峰。 活动由中共东莞市委金融委员会办公室指导，东莞市上市公司协会主办，兴业银行东莞分行支持。中国 证监会广东监管局党委委员、副局长王文哲，广东省委金融办二级巡视员刘凯文，松山湖党工委副书 记、管委会主任杨阳，广东省工商联副主席冯日华，东莞市委金融办副主任（分管日常工作）朱润明， 以及东莞市委网信办、市委统战部、市委社会工作部、市国资委、市工信局、市科技局、市商务局、市 投促局、市税务局、市财政局、市工商联、市社会组织事务中心等领导嘉宾出席了活动。 绘就发展新图景，构筑产融强支撑 上市公司是东莞经济的重要组成部分，是支撑产业发展的坚实力量。在刚刚过去的"十四五"，资本市 场"东莞板块"迎来了提质扩容的快速成长期。过去五年，东莞资本市场实现跨越式发展，A股上市公司 数量从2021年的36家增至64家，稳居全省地级市首位，总市值 ...