央企"AI+"具身智能产业共同体成立 近日，据国务院国资委消息，央企"AI+"具身智能产业共同体成立。国务院国资委相关负责人表示，近 年来，国务院国资委全力推进中央企业"AI+"专项行动，智能算力供给能力持续提升、自主可控模型构 建加速突破，人工智能产业发展取得明显成效。 国务院国资委最新数据显示，截至目前，中央企业已经牵头11个行业可信数据空间建设，建设交通、能 源、绿色、金融4个数据产业共同体。 高价值场景应用竞相落地。目前，央企已有17个备案的行业模型，服务能源电力、矿产资源、工业制 造、交通物流等多领域场景建设。打造行业智能体平台，创建10万余个行业智能体应用，有效赋能行业 高质量发展。国资央企还对外发布了开源"焕新社区"，面向社会免费开放超2200张国产智算芯片，汇聚 超4700个模型、1200个数据集。 随着本次签约，江苏省战新基金集群已累计组建46只总规模1760亿元产业专项基金，完成50只496亿元 的产业子基金决策流程。集群总规模达到2756亿元，累计投资项目超200个，带动直接股权投资超过200 亿元，2个直投项目实现IPO上市。 江苏省战新基金集群总规模 跃升至2756亿元 2月11日下 ...

自主可控模型构建加速突破。中央企业已有17个备案的行业模型，服务能源电力、矿产资源、工业制造、交通物流等多领域场景建设。打造行业智能体平 台，创建10万余个行业智能体应用，有效赋能行业高质量发展。国资央企还对外发布了开源"焕新社区"，面向社会免费开放超2200张国产智算芯片，汇聚超 国务院国资委最新数据显示，截至目前，中央企业已经牵头11个行业可信数据空间建设，建设交通、能源、绿色、金融4个数据产业共同体。 高价值场景应用竞相落地。中央企业聚焦能源、制造、通信等重点行业，联合头部企业打造了超一千个应用场景。电算协同运营系统成功上线运行。 （来源：千龙网） 记者11日从国务院国资委获悉，央企"AI+"具身智能产业共同体成立。国务院国资委相关负责人表示，近年来，国务院国资委全力推进中央企业"AI+"专项行 动，智能算力供给能力持续提升、自主可控模型构建加速突破，人工智能产业发展取得明显成效。 4700个模型、1200个数据集。 接下来，中央企业还将继续找准结合点和突破口，构建科学有效的产业协作机制，挖掘和打造更多战略性应用场景，有效汇聚和流通高质量数据集，促进人 工智能规模化赋能千行百业，努力在我国人工智能产业发 ...

一份刚刚发布的三年行动方案，将重塑这座城市的产业版图，并将触角伸向近地轨道。 2025年，上海规上工业总产值跨越4万亿元大关，创下历史新高。在这个制造业强势复苏的基础上，上 海并未停下脚步。近日，上海市经济和信息化委员会牵头编制的《上海市支持先进制造业转型升级三年 行动方案（2026—2028年）》（下称《行动方案》）正式发布，设定了明确目标：到2028年，新增年产 值10亿元以上制造业企业100家，累计超过600家，并带动产业链新增规上工业企业500家。这个被称 为"10亿+"的企业集群，是上海工业经济的核心力量。 01 产业投资的强劲势头 强劲的投资为未来增长注入了信心。数据显示，2025年，上海工业投资同比增长20.0%。其中，作为核 心的制造业投资表现尤为亮眼，同比增长22.8%。这不仅体现了市场主体的预期，也为《行动方案》提 出的三年目标提供了坚实基础。 02 多路径的产业结构调优 《行动方案》提出了以四大行动、17条举措为核心的完整路径。其中，"结构调优升级行动"对不同能级 的产业给出了差异化方案。对于传统优势产业，方案强调"优化提升"。例如，推动石化企业向"去油增 化"转型，布局新型功能材料；钢 ...

当前，广东还面临顶尖人才相对匮乏、人工智能与应用场景融合深度和广度仍需持续拓展等问题。曾进 泽表示，广东将加快推进人工智能产业促进条例立法工作，高标准编制智能经济发展"十五五"规划；加 大引才育才力度，谋划建设国家级人工智能国际合作中心和具身智能数据中心等第二批重点平台，进一 步完善人工智能产业生态体系。 2025年广东人工智能核心产业规模预计突破3000亿元 中新网广州1月26日电 (记者 程景伟)广东省工业和信息化厅厅长曾进泽26日在广州表示，2025年，广东 人工智能核心产业规模预计突破3000亿元，实现超40%的高速增长，总量占全国四分之一，进一步强化 该省人工智能产业国内第一梯队优势。 在广东省十四届人大五次会议当日召开的省直部门专场记者会上，曾进泽表示，2025年广东122个大模 型通过国家备案，430余个行业模型落地；人工智能专精特新"小巨人"企业达147家，数量居全国第一。 曾进泽介绍，广东持续布局"新一代人工智能"重大专项，优化全省"1+2+N"算力布局，升级广深数据交 易所，成立粤港澳大湾区人工智能标准化工作组，完善产业标准体系；推动制造、教育、卫健等多领域 出台配套方案，发布13个领域7 ...

Group 1 - The core viewpoint of the news is the implementation of the "Artificial Intelligence + Manufacturing" initiative by eight departments, aiming to enhance AI technology in the manufacturing sector by 2027 [1] - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position in industry scale and empowerment levels [1] - The initiative plans to promote the deep application of 3-5 general large models in manufacturing, create 100 high-quality industrial data sets, and establish 500 typical application scenarios [1] Group 2 - The initiative supports breakthroughs in key core technologies such as high-end training chips and edge inference chips to strengthen AI computing power supply [2] - It emphasizes the development of intelligent chip hardware and software, and the establishment of a national integrated computing network monitoring and scheduling platform [2] - The plan includes the promotion of AI cloud services and the deployment of industrial cloud computing capabilities [2] Group 3 - The initiative encourages the development of high-performance algorithm models tailored for the manufacturing industry's real-time, reliability, and safety requirements [3] - It aims to foster a "cloud-edge-end" model system and enhance the generalization capabilities of industry-specific large models [3] - The establishment of a public service platform for models and supporting tools is also part of the plan [3] Group 4 - The initiative promotes the integration of AI technology into the research, manufacturing, and operation of major technical equipment such as large aircraft and ships [4] - It aims to accelerate the development of intelligent medical equipment and autonomous driving features in smart connected vehicles [4] - The focus is on enhancing the capabilities of industrial robots and developing new-generation AI numerical control systems [4] Group 5 - The initiative focuses on key scenarios such as industrial inspection and remote medical care, accelerating the commercialization of new terminals like AR/VR wearable devices and brain-computer interfaces [5] - It supports breakthroughs in edge models and application toolchains for smart devices [5] - The plan includes the establishment of humanoid robot pilot bases and training grounds to promote innovation in embodied intelligent products [5]

Core Viewpoint - Donghua Software (002065) is actively responding to industrial development policies and is evaluating different business cooperation models based on market conditions [1] Group 1: Business Focus - The company's key business areas include digital core applications, industry models, intelligent agent development, and related computing power digital infrastructure construction in sectors such as healthcare, finance, cultural tourism, agriculture, and water conservancy [1] - The company has maintained effective business development through direct collaboration with clients in the aforementioned fields [1]

Group 1 - In 2024, central enterprises' investment in strategic emerging industries will exceed 40% of total investment, with operating revenue approaching 30% [1] - Cumulative investment in strategic emerging industries by central enterprises during the "14th Five-Year Plan" period reached 8.6 trillion yuan, significantly higher than the "13th Five-Year Plan" period [1] - Central enterprises are focusing on nine strategic emerging industries and six future industries, enhancing their capabilities in integrated circuits, biotechnology, and new energy vehicles [1] Group 2 - In 2024, operating revenue from strategic emerging industries surpassed 11 trillion yuan, with an 8 percentage point increase in revenue contribution over the past two years [2] - The "AI+" initiative has accelerated the application of general and industry-specific models, facilitating the digital transformation of traditional industries [2] - Central enterprises have created over 800 application scenarios in 16 key industries, with plans to release 40 high-value scenarios at the 2025 World Artificial Intelligence Conference [2] Group 3 - The quality of listed companies has improved, with central enterprise-controlled listed companies' market value exceeding 22 trillion yuan, a nearly 50% increase since the end of the "13th Five-Year Plan" [3] - Central enterprises have implemented cash dividends totaling 2.5 trillion yuan during the "14th Five-Year Plan," contributing to the stability of the capital market [3] - The State-owned Assets Supervision and Administration Commission (SASAC) aims to strengthen and optimize state-owned capital and enterprises to enhance their role in national economic development [3] Group 4 - During the "14th Five-Year Plan," central enterprises have actively pursued strategic professional restructuring, focusing on strategic security and public service [4] - Six groups of ten enterprises have been restructured through market-oriented methods, and nine new central enterprises have been established [4] - SASAC plans to enhance core functions and competitiveness through systematic and innovative approaches to further improve the efficiency of state-owned capital allocation [4]

Core Insights - The central enterprises in China have shown significant growth in assets and profits during the "14th Five-Year Plan" period, with total assets increasing from less than 70 trillion yuan to over 90 trillion yuan and total profits rising from 1.9 trillion yuan to 2.6 trillion yuan, reflecting an annual growth rate of 7.3% and 8.3% respectively [2][3] Group 1: High-Quality Development - The quality and efficiency of central enterprises have improved, with the operating income profit margin increasing from 6.2% to 6.7% and labor productivity rising from 594,000 yuan to 817,000 yuan per employee per year [2][3] - Central enterprises have made significant strides in technological innovation, with R&D expenditure exceeding 1 trillion yuan for three consecutive years and the investment intensity increasing from 2.6% to 2.8% [2][3] Group 2: Modern Industrial System - Progress has been made in building a modern industrial system, with a focus on strategic emerging industries such as new-generation information technology, new energy, and high-end equipment, leading to the creation of world-class industrial clusters [3][4] - The central enterprises have implemented over 800 application scenarios under the "AI+" initiative and established 1,854 smart factories, resulting in a reduction of energy consumption and carbon emissions per unit of output by 12.8% and 13.9% respectively [3][4] Group 3: Strategic Emerging Industries - Central enterprises have invested a total of 8.6 trillion yuan in strategic emerging industries during the "14th Five-Year Plan," significantly increasing their investment compared to the "13th Five-Year Plan" [4][5] - The revenue from strategic emerging industries is projected to exceed 11 trillion yuan in 2024, with contributions from new-generation information technology and high-end equipment sectors surpassing 1 trillion yuan each [5]

Core Insights - The Chinese government emphasizes the strategic importance of artificial intelligence (AI) as a transformative technology that will significantly alter production and lifestyle [1][3] - The implementation of the "AI+" initiative is seen as a crucial step for deep integration of AI into various sectors, aiming to enhance economic quality and drive modernization [1][3][4] Group 1: Strategic Importance of AI - AI is recognized as a key driver of the new technological revolution and industrial transformation, with historical evidence showing that each technological revolution leads to exponential productivity growth [3] - The "AI+" initiative is a strategic choice to seize opportunities presented by the new technological revolution and is essential for maintaining global competitiveness in technology [3][5] Group 2: Economic and Social Integration - The "AI+" initiative aims to foster deep integration of AI with the economy and society, addressing urgent tasks and long-term strategic goals [3][4] - AI is positioned as a core element in developing new productive forces, enhancing productivity through innovative allocation of resources [4][8] Group 3: Enhancing Quality of Life - The initiative seeks to improve people's lives by integrating AI into daily activities, particularly in healthcare, education, and transportation [4][5] - Emphasis is placed on addressing key social issues and enhancing the quality of life through AI applications [4] Group 4: Global Participation and Governance - The initiative promotes AI as an international public good, aiming to create a globally influential AI ecosystem and improve governance frameworks [5] - It addresses challenges such as fragmented global governance and disparities in AI development among countries [5] Group 5: Advantages for Implementation - China possesses rich data resources, a complete industrial system, diverse application scenarios, a large market, and abundant talent, all of which create favorable conditions for the "AI+" initiative [7][8][9] - The country is projected to produce 41.06 zettabytes of data by 2024, accounting for 26.67% of the global total, with a 40.95% year-on-year increase in data used for AI development [7] Group 6: Long-term Development and Innovation - The "AI+" initiative is a complex, long-term project requiring coordinated efforts across various sectors and levels of government [11] - It aims to foster an innovative smart economy, enhance intelligent infrastructure, and promote the widespread adoption of AI technologies [12][13] Group 7: Safety and Employment - The initiative includes measures to support AI skills training and mitigate employment risks associated with AI applications [14] - It emphasizes the importance of building a secure AI application environment, including monitoring and risk assessment systems [14]

Core Viewpoint - The article emphasizes the importance of implementing the "Artificial Intelligence+" initiative as a strategic move to drive high-quality economic development and facilitate the digital transformation across various industries [3][5]. Group 1: Significance of the "Artificial Intelligence+" Initiative - The initiative is seen as a strategic choice to seize opportunities presented by the new round of technological revolution and industrial transformation, with AI being a key driver for productivity leaps and societal evolution [5][6]. - It aims to enhance the integration of AI with the economy and society, addressing both immediate tasks and long-term strategic goals [5][6]. - The initiative is also positioned as a means to meet the people's needs for a better life by applying AI in critical areas such as healthcare, education, and transportation [6][7]. Group 2: Advantages for Implementing the Initiative - China possesses rich data resources, with a projected data production total of 41.06 zettabytes (ZB) by 2024, accounting for 26.67% of the global total, which supports AI development [10]. - The country has a complete industrial system, being the only nation with all industrial categories recognized by the United Nations, providing robust support for AI technology from research to application [10]. - There is a wide array of application scenarios across key sectors like smart manufacturing and digital finance, which fosters the evolution of AI technologies [11]. - The vast market space, driven by a population of over 1.4 billion and a growing middle class, offers significant opportunities for AI applications [11]. - China has the largest and highest-quality education system globally, ensuring a strong talent pool for AI innovation and application [12]. Group 3: Future Directions and Actions - The initiative is described as a long-term, complex system project requiring coordinated efforts across various sectors to achieve effective implementation [14]. - It aims to foster an innovative smart economy by promoting AI-driven research and development, as well as the transformation of traditional industries [14][15]. - The focus will also be on creating a more inclusive smart society by lowering barriers to AI technology in essential services like healthcare and education [14]. - Strengthening the support for AI development through improved data management, infrastructure, and talent cultivation is highlighted as crucial for success [15][16].