%% %% 行业研究丨深度报告丨电气设备 [Table_Title] 美国加码 AIDC 自建电源，变压器&储能景气 有望加速——美国缺电研究系列三 %% %% research.95579.com 1 丨证券研究报告丨 报告要点 [Table_Summary] 此前，我们在《解能源桎梏，扬时代风帆——美国缺电深度研究》中指出，AI 电力需求高增下， 美国电力缺口不断放大，公用电网短期难以解决，导致电价不断上涨。2026 年以来，在立法层 面，FERC、州政府及区域输电组织加速推进大型负载并网政策落地，数据中心自建电源已是 大势所趋。本报告重点阐述北美数据中心供电及配储架构，量化测算自建电源对变压器及储能 需求的拉动。 分析师及联系人 [Table_Author] 邬博华 曹海花 司鸿历 SAC：S0490514040001 SAC：S0490522030001 SAC：S0490520080002 SFC：BQK482 SFC：BVD284 袁澎 SAC：S0490524010001 请阅读最后评级说明和重要声明 2 / 23 %% %% %% %% research.95579.com 2 [Table_ ...

来源：企业上市 2025年12月17日：通过港交所上市聆讯； 2026年1月15日：更新递交上市申请并刊发资料； 2026年2月23日：刊发聆讯后资料集。 此次若成功上市，埃斯顿将成为农历马年首家在港交所挂牌的机器人企业。目前，公司上市仍需取得香 港证监会及港交所等监管机构的最终批准。 马年首家！南京这家造机器人的公司，港交所大门快叩开了。 2026年2月23日，南京埃斯顿自动化股份有限公司发布公告称，公司已刊发H股发行聆讯后资料集，标 志着其赴港上市进程已通过港交所上市委员会审议。根据安排，公司于2月23日在港交所网站刊登聆讯 后资料集。 此次上市进程关键节点回顾： 2025年6月27日：向港交所递交上市申请； 2025年12月9日：获中国证监会境外发行上市备案； 简单来说，就是南京一家叫 埃斯顿 的自动化公司，刚通过了港交所的上市聆讯 。这意味着它离在港股 挂牌上市只差最后几步了，而且很可能是 马年（2026年）第一家拿到这个通行证的企业。 这家公司什么来头？这么说吧，它是咱们国产工业机器人里的"尖子生" 。 干翻了外资品牌：以前工厂里的机器人手臂多是外国牌子，但在2025年上半年，埃斯顿在国内市场的出 ...

Group 1 - The founder of Arini warns that even before the substantial impact of AI on the software industry is realized, market panic alone is sufficient to increase corporate financing costs, potentially leading to widespread defaults [1] - The software industry is currently experiencing a prolonged sell-off, with investors concerned that the rapid evolution of AI technology poses a fundamental threat to the business models of software companies, which are already burdened with high debt levels relative to their earnings [1] - Direct lending institutions are reducing their exposure, which may exacerbate the impact on the software sector, as companies in this industry typically operate with high leverage and rely heavily on private credit markets [2] Group 2 - The private credit market has expanded rapidly, reaching a size of $1.8 trillion, prompting regulatory scrutiny [3] - The founder of Arini emphasizes that while regulatory tightening does not necessarily reduce investment opportunities, the industry must acknowledge the balance between risk and return [3] - The concentration of private credit in the software sector is deemed excessive, with concerns raised about the wisdom of lending at such levels in a mediocre-performing loan industry [2]

Market Overview - The A-share market experienced a strong opening on the first trading day after the Spring Festival, with all three major indices closing higher, indicating a positive sentiment among investors [1][2] - The trading volume exceeded 2 trillion yuan, with over 4,000 stocks rising, showcasing significant profit potential [1][2] Sector Performance - The oil and petrochemical sector led the market with a 5.53% increase, with multiple stocks hitting the daily limit [2] - Other strong performers included the cultivated diamond and optical module sectors, with notable stocks like Sifangda and Tianfu Communication showing impressive gains [2][3] ETF Market Dynamics - The enthusiasm in the oil and gas sector translated into strong performance for related ETFs, with several products seeing gains of over 9.5% [2] - Technology-related ETFs, particularly those tracking AI and software, also saw a significant increase in trading volume, with some doubling their transaction amounts [3] Institutional Interest - The robotics sector has garnered significant attention from institutional investors, with multiple companies in the industry receiving numerous inquiries [4] - Companies like Huichuan Technology and Anpeilong have been highlighted for their advancements in robotics, attracting institutional focus [4] Future Investment Trends - Analysts predict a more diverse investment landscape in 2026, driven by macroeconomic cycles and technological innovations [1][6] - Key investment themes include AI and humanoid robotics, cyclical commodities like oil and gas, high-dividend sectors such as banking and energy, and domestic consumption in automotive and home appliance sectors [6][7] AI and Technology Focus - The technology sector remains a focal point for investment, with expectations for breakthroughs in AI and semiconductors to drive future opportunities [7][8] - The potential for significant advancements in AI is seen as a critical factor for the growth of the industry, with current market perceptions possibly underestimating its development potential [8]

Market Overview - U.S. stock futures are stabilizing with S&P 500 futures up 0.34% and Nasdaq 100 futures gaining 0.49% after a significant sell-off [1] - The Dow Jones Industrial Average futures are up approximately 127 points, or 0.2%, indicating bargain hunting by investors [1] Major Index Performance and Trends - The S&P 500 is attempting to reclaim the 6,850 level after closing down 1.04% [3] - The Nasdaq Composite shed 1.13% but remains a focal point for growth-oriented investors [3] - The 10-year Treasury yield is near 4.04%, serving as a barometer for long-term inflation risks due to new tariff policies [3] - The broader market is approximately 15% higher compared to the same time last year, although the S&P 500 has recently dipped into negative territory for 2026 [3] Economic Indicators - The Conference Board's Consumer Confidence Index for February is expected to show a reading of approximately 87.6, up from 84.5 in January, indicating resilience in household sentiment [4] - The S&P CoreLogic Case-Shiller Home Price Index reported a modest 1.3% year-over-year increase, slightly below expectations, suggesting a cooling housing market [4] Federal Reserve Insights - A number of Federal Reserve officials are scheduled to speak, with investors looking for hints regarding interest rate policies ahead of the March meeting [5] - The introduction of "Trump Tariffs" is expected to add new inflationary variables into the Fed's models [5] Corporate News and Ticker Movements - Nvidia is preparing to report quarterly earnings, with its stock up nearly 1% in premarket trading due to expectations of continued AI infrastructure spending [6] - IBM's stock fell 13% after reports of competitive AI coding tools threatening its legacy consulting business [6] - Home Depot reported a nearly 20% decrease in earnings per share compared to last year, reflecting challenges in the home improvement sector [7] - Whirlpool shares fell over 7% following an $800 million public offering announcement [7] - Eli Lilly gained ground after competitor Novo Nordisk released disappointing clinical trial data for its obesity treatment [7] - Tesla is down roughly 3% due to trade tensions affecting global EV sentiment [8] - Microsoft faces increased competition in the AI productivity space [8] - CrowdStrike and American Express are being monitored after significant losses linked to AI-driven displacement fears [8] - Alphabet is one of the few megacaps showing relative strength, up 0.5% in early trading [8]

龙虎榜机构热股 今天机构龙虎榜上榜43只个股，净买入29只，净卖出13只。当日机构买入最多的个股前三位是：华工科技（1.89亿）、铜冠铜箔（1.88亿）、上海电影 （1.85亿）。 | 上榜热股 | 实时涨跌幅♀ 买/卖家数♦ | | | --- | --- | --- | | 华工科技 | +10.00% | 3/1 | | 000988.SZ | | | | 铜冠铜箔 | | | | 301217.SZ | +14.49% | 3/2 | | 3日 | | | | 上海电影 | 10 UN | 1/1 | 华工科技 龙虎榜显示，今日3家机构净买入1.89亿。 公司表示各种类型800G系列产品都已经给北美头部厂家送样测试 龙虎榜知名游资 一、油服 中国石油集团旗下，国内最大油气工程综合服务提供商，此前参与伊朗北阿扎德甘油田地面设施开发。 消息面上，WTI原油期货3月合约收涨1.9%，布伦特原油期货4月合约收涨1.86%。 东方证券预计，国内油气资本开支有望逐渐走向恢复。海外层面，美国政府持续推出政策推动油气开发，且根据EIA预测年美国天然气发电装机量有望在未 来几年上升，我们预计2026年海外的油服开支需求 ...

Core Viewpoint - The debate initiated by Steve Jones from Capgemini claims that "AI has killed the Agile Manifesto," arguing that AI's role in the software development lifecycle (SDLC) fundamentally contradicts the core values and principles of Agile [2][11]. Summary by Relevant Sections AI's Impact on Agile Principles - Jones highlights several key challenges in applying Agile to AI-driven SDLC, emphasizing the importance of tools and the significant differences in scenarios when using various AI tools like Replit and Claude Code [2][11]. - The Agile principle of "individuals and interactions over processes and tools" is contradicted by the current reliance on tools in AI development [3][11]. - The speed of AI development creates a fundamental divergence from Agile principles, as AI can generate usable applications in hours, making traditional two-week sprint cycles seem outdated [3][11]. Concerns Over Documentation and Technical Debt - Jones questions the Agile principle of "working software over comprehensive documentation," noting that while AI can generate seemingly functional software quickly, it may lead to unprecedented levels of technical debt [3][12]. - The efficiency of AI in creating software according to specific instructions makes documentation and architectural planning more critical than ever [12]. Industry Reactions and Perspectives - Rolf Läderach from Sandvik argues that Agile is not merely a manifesto or framework but a core philosophy focused on creating adaptive learning organizations, which AI supports [4][13]. - Sonya Siderova from Nave suggests that Agile is not dead but is optimizing a shifted bottleneck, where the focus has moved from human collaboration to decision-making on what to build and validating its effectiveness [5][15]. - Kent Beck, one of the original signatories of the Agile Manifesto, explores "augmented coding," which maintains traditional software engineering values while allowing AI to handle much of the coding work [5][15]. New Frameworks and Future Directions - Casey West proposes an "Agent Manifesto" that adapts the original Agile values for autonomous AI systems, shifting the focus from "verification" to "confirmation" of achieving expected goals [7][16]. - Amazon Web Services suggests that sprint planning must evolve into "intent design," where architecture serves as a scaffold rather than a rigid script for every decision path [7][16]. - Forrester's report indicates that 95% of professionals believe Agile is crucial for their operations, with 61% having deployed Agile practices for over five years, suggesting a strong foundation for integrating Agile with generative AI [7][16]. Call for New Methodologies - Jones acknowledges that not all current Agile practices are without value but insists that methods designed for human teams cannot be directly applied to AI-driven development [8][17]. - The debate raises fundamental questions about whether Agile is a specific methodology tied to practices like sprints and stand-ups or a broader philosophy focused on adaptability and learning [8][17]. - Eric Newcomer comments on the need for a new declaration, suggesting that bureaucratic issues have long hindered Agile even before the advent of AI [8][17].

Core Insights - During the Spring Festival, multiple enterprises and laboratories in the Optics Valley are operating at full capacity, with Huagong Technology's various business segments continuing production without interruption [1][2] - The company has secured orders for its connection business until the fourth quarter of 2026, and its AI high-speed optical module production line is running 24 hours a day [1][2] Company Overview - Huagong Technology is recognized as one of the top ten optical module manufacturers globally and is a well-known high-tech company in the laser industry [1][2] - The company's main business includes the production and sales of laser equipment, anti-counterfeiting laser labels, sensitive electronic components, optical communication electronic components, and the development, research, and sales of computer software and information system integration [1][2] Production Capacity and Growth - By 2025, Huagong Technology's domestic base for high-speed optical modules is expected to grow by 111%, while its overseas base is projected to increase by 500% [1][2] - The company plans to enhance the production capacity of its 800G and 1.6T high-speed optical modules by over 50% this year to fully meet market demand [1][2]

Core Insights - The company, EVE Energy Co., Ltd., is leveraging AI and robotics to enhance battery manufacturing processes, balancing the certainty of manufacturing techniques with the uncertainty of parameters like size and capacity [1] - EVE Energy has developed two types of robotic employees: AI digital robots for demand coordination and physical robots for execution, which will begin testing on production lines in March [1] - The company has established a comprehensive layout in battery technology, including lithium iron phosphate, ternary lithium, solid-state, and sodium-ion batteries since its founding in 2001 [1] Group 1 - EVE Energy is actively integrating AI applications to accelerate the intelligent transformation of manufacturing, achieving over 50% coverage of AI decision-making applications in single-line processes across multiple factories [1] - The company has adopted a unique "1+1+N" R&D model, focusing on real-world manufacturing needs to train robots for specific tasks, while also developing a comprehensive AI model for smart factories [2] - EVE Energy has successfully developed and tested three types of robots, including bipedal humanoid and wheeled robots, and is working on a collaborative control model for robot groups to optimize task delegation in factories [2] Group 2 - The company emphasizes a commitment to innovation and excellence, aiming to fully realize the concept of "using robots to manufacture batteries" and establish a fully integrated intelligent factory [2]

Group 1 - The US stock market is experiencing volatility, raising questions about whether the AI end-of-month report will continue to impact the market negatively [3] - The A-share market opened positively on the first day of the Year of the Horse, with all three major indices closing in the green, particularly in sectors like oil and gas, chemicals, and electric grid equipment [3] - Recent developments regarding tariffs from former President Trump have led to a 10% increase in global tariff rates, which was later adjusted to 15%, creating mixed reactions globally [3] Group 2 - The tariff situation has prompted urgent communications between Europe and the US, while it is perceived as a relatively favorable development for China [3]