21世纪经济报道记者吴斌上海报道 "AI正在化想象力为生产力，未来每个人都能创造出TA所能想到的任何产品！"在2024世界人工智能大 会（WAIC）上，西门子全球执行副总裁、西门子中国董事长、总裁兼首席执行官肖松曾畅想工业AI 的 未来。 短短一年后，在2025 WAIC上，肖松在发表主旨演讲时感概："这一天会比预想的更早到来。"他接受21 世纪经济报道记者专访时表示，本届WAIC展现了人工智能从"技术热"走向"应用深"的强劲趋势，越来 越多关注点落在AI如何赋能实体经济，助力制造业转型升级。 在肖松看来，工业AI的时代窗口已经打开。工业的"底层操作系统"正在被基础模型和智能体重新书写， 它也许不像消费级AI那样占据热搜，却以低调而强大的方式，孕育着一场意义深远、气势磅礴的产业 革命。 展望未来，肖松对记者表示，工业AI是中国实现从"制造大国"迈向"智能制造强国"的关键引擎，中国是 工业AI最具活力的应用场景，是孵化工业智能体的热土，拥有"广度""深度""高度"。未来谁能把AI真正 用起来、跑通场景、产生实效、创造价值，谁就能把握住新质生产力的主动权。 从"技术热"走向"应用深" 肖松：和消费级AI一样，工业 ...

Core Insights - The breakthrough progress of "Industrial + AI" at the World Artificial Intelligence Conference in Shanghai highlights a transformative shift in productivity across various industries [1] - The development of industrial AI cannot replicate the evolution path of consumer-grade AI due to the high complexity and low tolerance for error in the industrial world [3] - The ultimate significance of industrial AI lies in creating a new paradigm of "human and AI co-integration," pushing industrial innovation to new heights [4] - Industrial AI is positioned as a pivotal point for a new round of technological revolution and industrial transformation, injecting new momentum into the construction of a manufacturing powerhouse [5] Group 1 - Industrial AI requires a "technical brain" proficient in the "industrial language system," driven by the dual empowerment of data and knowledge [3] - Currently, 80% of global industrial data remains untapped in information silos, emphasizing the need for specialized data collection, cleaning, labeling, and structuring [3] - The rise of intelligent agents opens up deeper value spaces in industries, with China providing a natural testing ground due to its complete industrial system and rich application scenarios [3] Group 2 - Siemens has accumulated extensive industry experience and data integration over decades, creating a foundational base for the large-scale implementation of industrial AI [4] - Over 1,500 AI experts at Siemens are collaborating with industry partners and global AI leaders to accelerate the development of industrial foundational models and vertical applications [4] - The "underlying operating system" of industry is being rewritten, expanding the boundaries of imagination and productivity with each technological leap [4]

点击查看更多企业ESG评级。 来源：ESG评级中心 据新浪财经ESG评级中心，2025年07月29日，西门子（SIEGY.US）MSCI（明晟）ESG评级由AA调升 至AAA。 ...

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC 2025) concluded successfully in Shanghai, featuring over 1,500 top experts from more than 70 countries and regions, showcasing over 3,000 cutting-edge technologies, with more than 100 global and Chinese product debuts [2] - The conference highlighted a shift in the AI industry from "parameter competition" to "value creation," indicating China's AI sector is moving towards defining global standards and promoting inclusive development [2] - Huawei showcased its Ascend 384 SuperNode (Atlas 900 A3 SuperPoD), which addresses communication bottlenecks in AI model training and inference through high bandwidth and low latency interconnects among 384 NPUs [2] AI Model Development - Over 80 large models have been developed based on Huawei's Ascend platform, with partnerships involving over 2,700 collaborators to create more than 6,000 industry solutions across 11 sectors, including internet, finance, and healthcare [4] - Zhaoxin presented its KX-7000N AIPC processor, which integrates high-performance NPUs to enhance local AI processing capabilities for applications like speech recognition and image generation [4][6] AI Hardware Innovations - Moore Threads showcased its full-featured GPU solutions, emphasizing their role in general-purpose accelerated computing platforms and various industry applications, including professional graphics rendering and AI model training [6][8] - Muxi introduced its flagship GPU, the Xiyun C600, which is designed to provide reliable computing power for critical sectors, marking a significant step in domestic supply chain development [8][10] Industrial AI Applications - Siemens made its debut at WAIC, presenting its Industrial Copilot system, which integrates large language models with industry knowledge to enhance production efficiency by 50% [11][15] - The company also demonstrated AI applications in energy systems and process industries, showcasing its extensive patent portfolio and AI expertise [15] Ecosystem Development - North Electric Intelligence introduced a comprehensive AI empowerment system that integrates city-level AI infrastructure with industry-specific solutions, aiming to enhance digital transformation across various sectors [11][13] - Super Fusion launched its FusionOne AI solution, which aims to bridge the gap in AI implementation across industries by providing a full-stack digital resource intelligent system [15][17] Consumer AI Products - Rokid unveiled its lightweight AR glasses, which utilize advanced technologies for seamless user interaction, showcasing the potential of AI in enhancing user experiences in everyday scenarios [19]

Group 1 - The 2025 World Artificial Intelligence Conference (WAIC 2025) will be held in Shanghai from July 26 to 28, showcasing Siemens' commitment to integrating generative AI technology into industrial scenarios, focusing on "Industrial Foundation Models" and "Industrial Intelligent Agents" [1] - Siemens presented its full value chain AI innovations and the latest Industrial Copilot intelligent agent system, demonstrating multiple "AI+" scenarios across manufacturing, energy, and building sectors [1] - Siemens' Global Executive Vice President, CEO of Siemens China, Xiaosong, emphasized that the era of industrial AI has begun, with China's diverse industrial system becoming a vibrant application scene for AI, driving a new wave of productivity leap [1] Group 2 - Siemens is accelerating the development of the foundational elements of AI, specifically the Industrial Foundation Model, aimed at the industrial world [2] - The company has been actively investing in the industrial AI sector, planning to establish a complete industrial AI ecosystem through strategic acquisitions and partnerships by 2025 [2] - Siemens aims to empower industry chain partners and customers to explore the limitless possibilities of industrial AI [2]

Summary of China Import/Export Tracker and European Capital Goods Industry Overview - The report focuses on the capital goods industry, specifically analyzing 32 product categories relevant to European exports and Chinese imports/exports [3][51]. Key Insights - **Market Share Dynamics**: - Europe currently holds 44% of global capital goods exports, down from 56% in 2005. - China's market share has increased from 6% in 2005 to 22% in 2024, representing a 16 percentage point gain [3][17]. - **Export Growth Trends**: - In June 2025, global export values rose by 21% year-over-year, while import values increased by 9% year-over-year [8]. - Notable growth in Chinese exports includes: - Rail: +46% - Switchgear: +41% - Fibre cable: +40% - Heavy Duty Trucks: +40% - Copper wire: +31% [8][27]. - **Import Declines**: - Significant declines in Chinese imports were observed in: - Tractors: -78% - LED lighting: -40% - Shovel loaders: -39% - Turbochargers: -33% [30]. - **Regional Export Changes**: - Exports to Europe from China have shown substantial increases in categories like switchgear (+99%) and rail (+69%) [32]. - Conversely, exports of marine engines (-34%) and commercial vehicle engines (-27%) have decreased significantly [32]. Competitive Landscape - **Chinese Competition**: - Chinese exports to Europe have grown significantly, particularly in rail and construction equipment, indicating increased competition for European manufacturers [7][10]. - Certain product categories, such as commercial vehicle engines and bearings, have remained relatively insulated from Chinese competition [7]. - **Market Share Risks**: - The report highlights potential risks for European companies in sectors like automotive bearings, energy storage, and construction equipment due to increasing Chinese competition [44][43]. Additional Observations - **Trade Balance Trends**: - China has turned into a net exporter in categories like medium voltage equipment and heat exchangers, while imports have expanded in marine engines [36]. - **Technological Positioning**: - The report notes that the technological positioning of products exported from China may differ significantly from those imported, particularly in high-end industrial robots [54]. - **Long-term Implications**: - The ongoing trends suggest that China is making progress towards self-sufficiency in capital goods, which could impact European exporters negatively, especially in mid- to high-value categories [53]. Conclusion - The analysis indicates a shifting landscape in the capital goods market, with China increasing its competitive presence globally, particularly in Europe. European companies need to be aware of these dynamics and adjust their strategies accordingly to mitigate risks associated with rising Chinese competition.

Core Insights - Siemens showcased its Industrial Copilot system at the 2025 World Artificial Intelligence Conference, which integrates large language models with industry knowledge to autonomously execute complex industrial processes, potentially increasing production efficiency by up to 50% for clients [1][2] Group 1: System Features - The Industrial Copilot represents an upgrade in AI applications within the industrial sector, evolving from a passive assistant to an active agent capable of sensing, analyzing, deciding, and executing complete workflows [1] - The system features a unique architecture that separates the user interface from the backend execution agent, allowing for flexible task management and maintaining user control over task delegation [1] Group 2: Operational Capabilities - Engineers can issue voice commands such as "add new order," enabling the system to autonomously manage production line resources and complete the entire process from order input to logistics scheduling without additional programming [2] - The system has been integrated into various industrial processes, including design (NX CAD), planning (generative AI analysis), engineering (TIA Portal for PLC code generation), operations (Insights Hub), and maintenance (Maintenance Copilot Senseye) [2] Group 3: Market Adoption - Over 200 companies globally have deployed the Industrial Copilot for tasks such as equipment installation, program debugging, and troubleshooting, significantly reducing task completion times from hours to minutes through deep data analysis and automated solution generation [2]

Group 1 - The 2025 World Artificial Intelligence Conference (WAIC) opened in Shanghai, showcasing cutting-edge AI achievements from top global tech companies [1] - The "Treasure of the Museum" award was given to eight notable AI products, including Huawei's Ascend 384 super node and Ant Technology's AI Health Manager AQ [1][2] - Over 600 companies participated in the exhibition, presenting more than 3,000 exhibits, with only eight items recognized as "Treasures of the Museum" [1] Group 2 - Ant Technology's AI Health Manager AQ has served over 100 million users since its trial run in September last year, providing health advice and expert-like diagnostic capabilities [2] - iFlytek's AI Learning Machine, another "Treasure of the Museum," offers personalized learning experiences for students across all educational stages [2] - Baidu's new digital human technology, NOVA, achieved a GMV of 55 million in a live stream and is set to be available to the public in October, enabling users to replicate professional live-streaming capabilities [2][3] Group 3 - Huawei showcased the Ascend 384 super node for the first time, highlighting its innovative computing capabilities and open-source hardware and software ecosystem [3] - Kuaishou's AI-generated video technology received an innovation award, while other companies were recognized for their advancements in AI models and applications [3]

Core Viewpoint - Siemens is at the forefront of integrating AI into industrial processes, exemplified by its Industrial Copilot and Industrial Foundation Model, which enhance automation and efficiency in manufacturing environments [9][30][65]. Group 1: Historical Context and Development - The journey of Siemens in industrial AI began in 1964 with the creation of the Zuse Graphomat Z64, marking the start of computer-generated art and the long evolution towards AI in industry [2][4]. - Over the past 60 years, Siemens has transformed its Erlangen factory into a hub for over 100 AI applications, utilizing digital twin technology to mirror real-world processes [6][9]. Group 2: Industrial Copilot and AI Integration - The Industrial Copilot acts as a bridge between human language and machine operations, allowing users to issue natural language commands that the system translates into actionable tasks [10][18]. - This system significantly improves efficiency, enabling engineers to generate automation code quickly, reducing development time by nearly 50% and deployment time by 30% [14][15]. Group 3: Industrial Foundation Model (IFM) - The Industrial Foundation Model is a collection of models rooted in 150PB of validated industrial data, designed to understand and operate within the constraints of industrial environments [24][28]. - Unlike general-purpose AI models, the IFM is tailored to comprehend machine language and industrial logic, making it suitable for complex manufacturing processes [25][28]. Group 4: Data and Knowledge as Competitive Advantages - Siemens possesses a unique data asset of 150PB, which spans various stages of product design and manufacturing, providing a competitive edge in AI model training [34][36]. - The company’s extensive experience and industry know-how are critical in navigating the complexities of data collection, cleaning, and model deployment in industrial settings [40][41]. Group 5: Strategic Moves and Future Outlook - Recent strategic actions include the acquisition of Altair for over $10 billion, enhancing Siemens' capabilities in industrial simulation and AI-driven optimization [67]. - Siemens is also focusing on reskilling its workforce to ensure that employees can effectively collaborate with AI technologies, emphasizing the importance of cultural acceptance of AI in industrial environments [62][65].

Summary of Key Points from the Multi-Industry Capex Tracker Industry Overview - The report focuses on the multi-industry capital expenditure (capex) trends, analyzing approximately €3.1 trillion of capex across around 4,000 companies in 26 different end markets [1][7][43]. Core Insights - **Medium-term Capex Growth**: The medium-term capex growth has been revised upward slightly, now indicating a 5.9% compound annual growth rate (CAGR) for 2024-2028, which is a 0.4 percentage point increase from the previous update in April [7][13]. - **2025 Capex Downgrade**: For 2025, the capex growth expectation has been downgraded by 0.4 percentage points to 4.9%, attributed to some spending being deferred to 2026 due to tariff and policy uncertainties [7][8][13]. - **Sector Performance**: - **Strong Growth Areas**: Technology (specifically Datacenters) and Utilities (Power grids, Renewables) are expected to see favorable capex environments, with companies like Legrand, Schneider, Siemens, Prysmian, and Nexans recommended for investment [7][26]. - **Weak Growth Areas**: Sectors such as Biotech, Pulp & Paper, and REITs are experiencing the largest cuts in capex growth [7][8]. Additional Insights - **Geographical Drivers**: The US remains the primary driver of strength in the capex tracker, despite uncertainties regarding tariffs and interest rates. Europe is also expected to see strong investments in grid and defense [8][9]. - **Capacity Utilization**: Capacity utilization is below historical median levels in Europe but aligns with historical medians in the US and China. Elevated asset age in sectors like Oil & Gas, Vehicles, Airlines, and Healthcare indicates a need for replacement capex [8][9][21]. - **Macro Risks**: Key risks to the capex estimates for 2025 include tariff-driven inflation, structural overcapacity in China, and competitiveness issues for core capex spenders in Europe [9][10]. Sector-Specific Capex Growth Projections - **Datacenters**: Expected to grow at a CAGR of 23.0% for 2024-2028, with a 36.5% growth forecast for 2025 [20]. - **Renewables and Transmission**: Projected CAGR of 16.3% for 2024-2028, with 25.5% growth in 2025 [20]. - **Semiconductors**: Anticipated CAGR of 12.9% for 2024-2028, with 11.2% growth in 2025 [20]. - **Biotech**: Expected to decline with a CAGR of -8.1% for 2024-2028, and a -10.7% growth forecast for 2025 [20]. Conclusion - The capex tracker indicates a mixed outlook for various sectors, with technology and utilities poised for growth while others like biotech and pulp & paper face challenges. The overall capex environment remains healthy, but macroeconomic uncertainties could impact future investments [7][9][10].