《意见》强调，鼓励龙头企业、央国企等先行先试，提供规模化应用场景，研发应用工业智能体，先行 探索人工智能赋能制造业新模式。深入实施中小企业数字化赋能专项行动，支持中小企业开展数字化、 智能化改造，加快中小企业人工智能应用复制推广。 盘和林表示，对于传统制造业企业和中小企业来说，要给它们提供可行的解决方案，可用的人才，以及 更多的转型资本支持。在有足够支持的情况下，企业智能化转型的意愿会显著增强。 人工智能与实体经济的加速深度融合，正深刻改变着制造业生产模式和经济形态。2026年1月7日，工业 和信息化部、中央网信办、国家发展改革委等八部门联合发布的《"人工智能+制造"专项行动实施意 见》（以下简称《意见》）提出，到2027年，我国人工智能关键核心技术实现安全可靠供给，产业规模 和赋能水平稳居世界前列。推动3－5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。 制造业是国民经济的主体，是立国之本、强国之基。人工智能与制造业的深度融合，是发展新质生产 力、构建现代化产业体系的重要路径。为加快推进人工智能技术在制造业融合应用，《意见》提出，要 一端抓技术供给，推动"智能产业化"，一端抓赋能应用，加快 ...

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].

21世纪经济报道记者冉黎黎 北京报道 1月7日，工业和信息化部、中央网信办、国家发展改革委、教育部、商务部、国务院国资委、市场监管 总局、国家数据局等八部门联合印发《"人工智能+制造"专项行动实施意见》（以下简称《意见》），并同时印发《人工智能赋能制造业重点 行业转型指引》（以下简称《指引》）《制造业企业人工智能应用指南》（以下简称《指南》）两份配套文件。 《意见》提出，到2027年，我国人工智能关键核心技术实现安全可靠供给，产业规模和赋能水平稳居世界前列，并围绕创新筑基、赋智升级、 产品突破、主体培育、生态壮大、安全护航、国际合作等7大重点任务，细化21项具体措施，促进人工智能技术与制造业应用"双向赋能"。 在赋智升级方面，《意见》提出，加快重点行业应用赋能。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。 在产品突破方面，《意见》提出，推动智能装备迭代，加速智能终端升级，打造智能体新业态。 在主体培育方面，《意见》则提出，梯次培育企业。鼓励有关地方给予企业"算力券""模 ...

资料显示，深圳东壁科技数据有限责任公司法定代表人为吴登生，成立于2024年，位于深圳市，是一家 以从事软件和信息技术服务业为主的企业。企业注册资本153.532648万人民币，并已于2026年完成了 Pre-A轮，交易金额近亿人民币。 1月7日，天眼查融资历程显示，深圳东壁科技数据有限责任公司近日获得"Pre-A轮"融资，涉及融资金 额近亿人民币，投资机构为中科创星天使轮项目「东壁科技数据」完成近亿元Pre-A轮融资。 通过天眼查大数据分析，深圳东壁科技数据有限责任公司共对外投资了3家企业，知识产权方面有商标 信息40条，此外企业还拥有行政许可4个。 来源：市场资讯 天眼查信息显示，深圳东壁科技数据有限责任公司的股东为：吴登生、熊德、北京中科创星硬科技中小 企业创业投资合伙企业（有限合伙）、深圳东壁智联科技数据合伙企业（有限合伙）、深圳东壁智汇科 技数据合伙企业（有限合伙）。 ...

近日，工业和信息化部、中央网信办、国家发展改革委、教育部、商务部、国务院国资 委、市场监管总局、国家数据局等八部门联合印发《"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，我国人工智能关键核心技术实现安全可靠供给，产业规模和 赋能水平稳居世界前列。推动3—5个通用大模型在制造业深度应用，推出1000个高水平 工业智能体，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—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。 《意见》围绕创新筑基、赋智升级、产品突破、主体培育、生态壮大、安全护航、国际 合作等7大重点任务，细化21项具体措施，促进人工智能技术与制造业应用"双向赋 能"，加快制造业智能化、绿色化、融合化发展，有力支撑制造强国、网络强国和数字 中国建设。 关于印发《"人工智能+制造"专项行动实施意见》的通知 工信部联科〔2025〕279号 各省、自治区、直辖市及计划单列市、新疆生产建设兵 ...

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。 《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》。 优先选择原材料、装备制造、消费品等五大重点行业赋能 《意见》将"赋智升级：拓展推广高价值应用场景"放在了专项行动的第二位，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。 实现AI+制造 ...

Core Viewpoint - The integration of artificial intelligence (AI) with the real economy is set to profoundly change the production models and economic forms in the manufacturing industry, as outlined in the "AI + Manufacturing" action plan issued by multiple government departments [1]. Group 1: Goals and Objectives - 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 [1]. - The plan includes the deep application of 3 to 5 general large models in manufacturing, the creation of 100 high-quality industrial data sets, and the promotion of 500 typical application scenarios [1]. - The initiative seeks to cultivate 2 to 3 globally influential ecosystem-leading enterprises and a number of specialized small and medium-sized enterprises, while establishing 1,000 benchmark enterprises [1]. Group 2: Key Industries and Applications - Key industries targeted for AI empowerment in new industrialization include raw materials, equipment manufacturing, consumer goods, electronic information, software, and information technology services [2]. - The plan encourages leading enterprises and state-owned enterprises to explore new models and applications of AI in manufacturing, alongside implementing digital empowerment initiatives for small and medium-sized enterprises [2]. Group 3: Implementation Strategies - The action plan emphasizes strengthening AI computing power supply, promoting the development of intelligent chips, and supporting breakthroughs in key technologies such as high-end training chips and AI servers [2]. - It outlines the need for an integrated mechanism for data collaboration, model training, application development, and security assurance through the "model-number resonance" initiative [2]. - The plan also focuses on upgrading intelligent equipment and terminals, fostering new business forms like humanoid robots, and enhancing the integration of AI with industrial software [2]. Group 4: International Cooperation and Funding - The initiative promotes high-level international cooperation, encouraging the export of advantageous industries and participation in AI discussions within multilateral cooperation frameworks [3]. - It proposes the establishment of a collaborative work mechanism involving departments, central and local governments, and industry to guide enterprises in differentiated development and prevent internal competition [3]. - The plan aims to leverage existing funding channels to support AI-related technology research and application tasks, utilizing the national AI industry investment fund to attract more social capital [3].

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。 《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》。 实现AI+制造，AI才能被视为真正的生产力工具 《意见》把"创新筑基：夯实人工智能赋能底座"放在了专项行动的首位，首先提出强化人工智能算力供 给。 例如，对于装备制造行业，《指引》明确提出加速汽车行业全链条智能化升级。打造汽车大模型，自动 生成车身造型、内饰布局等方案，实时仿真动态优化结构强度、风阻系数等参数，推动智能研发新范 推动智能芯片软硬协同发展，支持突破高端训练芯片、端侧推 ...

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。 意见围绕创新筑基、赋智升级、产品突破、主体培育、生态壮大、安全护航、国际合作等7项重点 任务推出一系列具体举措，包括推动智能芯片软硬协同发展；支持模型训练和推理方法创新；培育重点 行业大模型；推动大模型技术深度嵌入生产制造核心环节；加快人工智能赋能工业母机、工业机器人； 攻关深度合成鉴伪、工业模型算法安全防护、训练数据保护等关键技术。 新华社北京1月7日电（记者 周圆）记者7日获悉，工业和信息化部、中央网信办、国家发展改革委 等八部门日前联合印发《"人工智能+制造"专项行动实施意见》，提出到2027年，我国人工智能关键核 心技术实现安全可靠供给，产业规模和赋能水平稳居世界前列。 人工智能与制造业的深度融合，是发展新质生产力、构建现代化产业体 ...

Core Viewpoint - The "Artificial Intelligence + Manufacturing" initiative aims to enhance the integration of AI technologies in the manufacturing sector, targeting significant advancements by 2027, including the development of key AI technologies, industry models, and high-quality data sets to support industrial transformation and innovation [1][4][5]. Group 1: Overall Requirements - The initiative is guided by Xi Jinping's thoughts and aims to promote a new development pattern, focusing on innovation-driven growth and the dual empowerment of AI technology and manufacturing applications [5][6]. - By 2027, the goal is to achieve reliable supply of key AI technologies, maintain a leading position in industry scale and empowerment levels, and develop 3-5 general models for deep application in manufacturing [5][6]. Group 2: Innovation Foundation - Emphasis on strengthening AI computing power supply, supporting the development of high-end training chips and AI service platforms [7]. - Development of high-performance algorithms tailored for manufacturing, fostering a model system that enhances adaptability and real-time application [7][8]. Group 3: Application Expansion - Accelerating AI empowerment in key industries through expert-led initiatives and application platforms to match supply and demand [9][12]. - Systematic transformation of manufacturing processes, integrating AI into design, production, and management to enhance efficiency and quality [11][12]. Group 4: Product Breakthroughs - Promotion of intelligent equipment and systems, including AI-driven industrial robots and medical devices, to enhance decision-making and operational capabilities [14][16]. - Development of intelligent terminals and software solutions to support various industrial applications, including smart homes and healthcare [16][40]. Group 5: Ecosystem Development - Strengthening standards and open-source initiatives to foster a collaborative AI ecosystem, enhancing safety and governance in AI applications [18][19]. - Fostering talent development in AI, focusing on interdisciplinary skills that combine AI knowledge with manufacturing expertise [19][20]. Group 6: Safety Assurance - Enhancing safety capabilities through the development of key technologies for data protection and risk management in AI applications [20][21]. - Establishing governance mechanisms for AI safety, including risk monitoring and emergency response protocols [21][22]. Group 7: International Cooperation - Encouraging enterprises to tailor AI solutions for different international markets and participate in global AI discussions [22][24]. - Building international cooperation platforms to enhance collaboration and share best practices in AI development [22][24]. Group 8: Support Measures - Establishing a collaborative framework among various stakeholders to promote the "AI + Manufacturing" initiative, ensuring resource allocation and investment in relevant technologies [24][25]. - Implementing large-scale demonstration actions for new technologies and products to stimulate market demand and innovation [24][25].