工业AI 的需求已从早期头部企业的探索性投入，转向全行业"提质降本增效"的刚需。根据IDC预测，到2028年，中国工业企业AI 支出规模将接近90 亿元 人民币，年复合增长率达到 38%。 到2030年，全球活跃智能体数量将突破 22.16 亿个，年复合增长率达到 139%，其中工业领域的活跃智能体是最重要组成部分之一。IDC 认为，智能体数 量的快速增长将与工业 AI 的规模化需求形成共振：一方面，工业企业对跨系统协同与流程闭环的诉求更强；另一方面，智能体作为"任务编排与流程执行 载体"，有助于将 AI 从"点状能力"升级为"可运营的生产力"，从而加速规模化落地。 智通财经APP获悉，国际数据公司IDC发文称，工业AI 的需求已从早期头部企业的探索性投入，转向全行业"提质降本增效"的刚需。根据IDC预测，到 2028年，中国工业企业AI 支出规模将接近90 亿元人民币，年复合增长率达到38%。到2030年，全球活跃智能体数量将突破 22.16 亿个，年复合增长率达 到 139%，其中工业领域的活跃智能体是最重要组成部分之一。 当前，中国工业行业正处于由"数字化"向"智能化"跨越的关键拐点，"人工智能+工业" ...

在人工智能（AI）掀起全球产业变革浪潮的当下，制造业作为国民经济的命脉，正处于从"数字化"迈 向"智能化"的关键节点。然而，在大模型落地应用的过程中，企业却普遍面临"业务用不起来、结果不 敢用、IT管不住"的困境。 1月份，美的集团（000333）股份有限公司（以下简称"美的集团"）旗下美云智数科技有限公司（以下 简称"美云智数"）正式发布新一代工业AI平台——美擎AIGC 3.1平台（以下简称"美擎AIGC平台"）暨 智能体工厂解决方案。 近日，美云智数研发中心总经理兼CTO宋云报接受了《证券日报》记者采访，深度解析制造业如何通过 打造"统一底座"，破解AI落地难题。 从"定制开发"到"统一底座" 在宋云报看来，企业AI应用的成功，最终不取决于某一个具体的模型或单一的应用，而是能否建立起 一个支撑智能体（Agent）长期稳定运行的平台。"智能体是入口，而平台决定了上限"。 在大量的企业实践中，美云智数发现，缺乏平台支撑的智能体通常会陷入三个主要困境：其一，业务端 无法应用，因为开发门槛过高，过度依赖少数经验丰富的工程师，致使AI难以融入日常工作流程；其 二，AI给出的结果无法追溯、不可解释，难以进入关键决策 ...

在人工智能（AI）掀起全球产业变革浪潮的当下，制造业作为国民经济的命脉，正处于从"数字化"迈 向"智能化"的关键节点。然而，在大模型落地应用的过程中，企业却普遍面临"业务用不起来、结果不 敢用、IT管不住"的困境。 1月份，美的集团股份有限公司（以下简称"美的集团"）旗下美云智数科技有限公司（以下简称"美云智 数"）正式发布新一代工业AI平台——美擎AIGC3.1平台（以下简称"美擎AIGC平台"）暨智能体工厂解 决方案。 近日，美云智数研发中心总经理兼CTO宋云报接受了《证券日报》记者采访，深度解析制造业如何通过 打造"统一底座"，破解AI落地难题。 本报记者 王镜茹 将智能体融入关键业务流程 谈及大模型在工业领域落地的最大障碍，宋云报认为，"幻觉"是主要挑战之一。能否将智能体融入关键 业务流程，取决于知识是否可控。"许多企业的知识库往往局限于简单的文档管理或向量索引，这种不 可治理的知识反而增加了大模型的不确定性。"他表示。 对此，美擎AIGC平台将知识视作一项"工程能力"来打造，强调从采集、加工、应用到治理全过程。知 识经过治理，智能体给出的结论才能得到业务人员和管理层的信任，这是企业级智能体和通用智能 ...

在人工智能（AI）掀起全球产业变革浪潮的当下，制造业作为国民经济的命脉，正处于从"数字化"迈 向"智能化"的关键节点。然而，在大模型落地应用的过程中，企业却普遍面临"业务用不起来、结果不 敢用、IT管不住"的困境。 在宋云报看来，企业AI应用的成功，最终不取决于某一个具体的模型或单一的应用，而是能否建立起 一个支撑智能体（Agent）长期稳定运行的平台。"智能体是入口，而平台决定了上限"。 在大量的企业实践中，美云智数发现，缺乏平台支撑的智能体通常会陷入三个主要困境：其一，业务端 无法应用，因为开发门槛过高，过度依赖少数经验丰富的工程师，致使AI难以融入日常工作流程；其 二，AI给出的结果无法追溯、不可解释，难以进入关键决策流程；其三，IT部门无法有效管控，数据权 限和运行状态不可控，导致应用场景受限。 针对这些痛点，宋云报表示，美擎AIGC平台从建立之初就有着明确的定位，它并非一个新的业务系统 或单一的模型，而是一个统一底座，能够连接企业内部的ERP、PLM、MES等现有系统的数据和流程， 并对外开放算力、算法模型及生态支持，为企业未来的持续发展预留空间。 那么，如何实现AI的规模化应用？宋云报进一步阐释了 ...

Group 1 - The core viewpoint of the article highlights Shanghai Jingzhi's significant milestone in the industrial AI sector with its IPO application, showcasing its leadership in smart manufacturing solutions and its unique "data + manufacturing + AI" closed-loop ecosystem [1] - The global manufacturing industry is at a critical juncture of intelligent transformation, with China's industrial AI solutions market projected to grow from RMB 5.8 billion in 2024 to RMB 93.5 billion by 2030, reflecting a compound annual growth rate of 58.8% [2] - Shanghai Jingzhi has a first-mover advantage with nearly 20 years of data accumulation, serving leading clients in automotive, communication, and robotics sectors, which has resulted in a rich industrial data resource [2][3] Group 2 - The company has launched multiple commercial AI products that cover core manufacturing processes, significantly reducing production planning time and enhancing defect detection capabilities [3] - Shanghai Jingzhi's unique model of using its own factory for training AI algorithms sets it apart from traditional equipment manufacturers and pure software startups, allowing it to address real industrial needs effectively [4] - The company aims to deepen its core AI products and explore SaaS offerings, with a long-term vision of building an industrial AI ecosystem platform that leverages data feedback loops to enhance algorithm advantages [4] Group 3 - The IPO of Shanghai Jingzhi serves as an important window for observing the effectiveness of industrial AI implementation, with its value stemming from its data moat, productization capabilities, and industry positioning [5] - The company represents a stable and growth-oriented investment opportunity, benefiting from its manufacturing foundation and the growth potential brought by AI empowerment [5] - Shanghai Jingzhi's nearly two decades of manufacturing experience is a valuable intangible asset, establishing a barrier that is difficult to disrupt through short-term capital or algorithmic innovation [5]

Market Overview - The market is expected to face a technical test on January 8, with the index deviating from the 5-day moving average, indicating a potential need for a pullback or consolidation [1] - The market may attempt to test resistance around 4098 points, but caution is advised as a quick rise could lead to a pullback [3] - Key support levels to watch are around 4071 points and 4056 points, indicating a current state of consolidation [3] Sector Focus - **Commercial Aerospace**: Driven by SpaceX's ambitious plans to scale production, the domestic industry is seeing advancements in reusable rocket technology and increased visibility of orders. Key companies include Zhongguang Fanglong and Aerospace Development [5] - **Semiconductors**: The demand for high-performance storage chips is rising due to AI applications, with companies like SanDisk experiencing significant stock price increases. The advanced packaging market is also growing rapidly, particularly in China [7][8] - **Industrial AI**: Supported by government initiatives, the integration of AI in manufacturing processes is expected to enhance efficiency and reduce costs. Companies like Hand Information and Baoxin Software are positioned well in this sector [10] - **Robotics**: The open-source movement led by NVIDIA is accelerating the development of robots, particularly humanoid robots, making them more accessible for various applications. The global humanoid robot market is projected to grow over 26% annually [12] Investment Opportunities - The market is in a phase of sector rotation, with a focus on commercial aerospace, semiconductors, industrial AI, and robotics as key areas for potential investment. These sectors align with global trends and domestic policy support [13]

Group 1 - The company has launched 110 TPT projects, generating revenue of 1.17 billion, indicating the establishment of an industrial AI moat. The combination of manufacturing intelligence and overseas expansion is expected to lead to a low valuation with profit pressure in 2025, but a growth rate of 27% is anticipated in 2026. Institutions suggest that a fundamental turning point is approaching and recommend close attention [1] - The demand for AI computing power is surging, raising questions about which companies will seize the high-margin "golden window" in silicon photonics modules. Five core segment companies have entered the institutional focus list [1]

Core Viewpoint - The conference emphasizes the integration of AI in the manufacturing sector as a key driver for industrial transformation, aligning with national policies aimed at enhancing smart manufacturing and industrial efficiency [4][6]. Group 1: Strategic Guidance - The current global industrial competition has shifted from "scale competition" to "intelligent competition," with industrial AI serving as a crucial tool to overcome traditional manufacturing efficiency bottlenecks and enhance collaboration across the supply chain [4]. - The development direction of industrial AI aligns with the State Council's policies on promoting comprehensive intelligent development in manufacturing, emphasizing the application of AI across all stages of design, trial production, manufacturing, service, and operation [4]. Group 2: Ecosystem Development - The conference showcased a collaborative framework involving multiple stakeholders, including academia, industry, and research institutions, to enhance the synergy in industrial AI applications [7]. - The establishment of two new sub-associations focused on embodied intelligence and smart factories aims to address technological challenges and promote innovative practices in key sectors such as automotive and electronics [7]. Group 3: Achievements and Implementation - The conference featured the issuance of various certifications and the announcement of typical application scenarios for industrial AI, highlighting successful implementations across sectors like automotive manufacturing and renewable energy [9][11]. - A regional promotion of intelligent manufacturing was presented, detailing the collaboration with local authorities to establish an industrial AI ecosystem, including the introduction of 15 related enterprises and the creation of a regional industrial data platform [12][13]. Group 4: Knowledge Exchange - The conference included expert presentations on the development paths for embodied intelligence and the integration of AI in traditional manufacturing processes, providing insights into technological breakthroughs and practical applications [15][18]. - A series of specialized forums covered various topics related to industrial AI, ensuring a comprehensive discussion on both macro-level strategies and micro-level industry practices [24].

Core Insights - The year 2025 is identified as a pivotal year for the large-scale implementation of AI detection driven by leading clients [1] - The company is collaborating with several industry leaders to enhance assembly quality through AI, enabling real-time data analysis and adaptive parameter adjustments, significantly reducing reliance on field engineers and after-sales costs [1][3] Industry Trends - The core of industrial AI lies in "image quality + solution integration," with China possessing strong local application engineering capabilities and rapid response advantages in this field [3] - As AI capabilities become more platformized and generalized, the company is accelerating its expansion into overseas markets, facilitating the transition of high-end manufacturing towards a new phase of intelligence and standardization [3]

Core Viewpoint - Tianzhun Technology's major shareholder, Qingyi Investment, has donated 8 million shares of stock and 8 million yuan in cash to establish a special fund aimed at supporting the cultivation of young talent in artificial intelligence and the development of education in Suzhou [1][3]. Group 1 - The "Meidao Fund" was officially launched at the 20th anniversary summit of Tianzhun Technology, attended by numerous dignitaries from academia, government, and industry [2]. - The donation consists of 8 million shares and 8 million yuan in cash, with a total value of approximately 450 million yuan based on the stock price at the time of donation [3]. - The fund will collaborate with the Li Zhengdao Education and Science Foundation and the Suzhou Education Development Foundation to support young talent in AI and reward outstanding educators in Suzhou [5].