证券研究报告 汽车 行业定期报告 hyzqdatemark 2026 年 03 月 02 日 投资评级： 看好（维持） 李泽 SAC：S1350525030001 lize@huayuanstock.com 陈佳敏 SAC：S1350525110001 chenjiamin@huayuanstock.com ——汽车行业周报（20260224-20260301） 证券分析师 投资要点： 投资分析意见：我们认为随着全球 AI 资本开支扩张，柴发环节有望直接受益 AIDC 建设需求提升，国产供应链在柴发供不应求的背景下有望实现量价齐升，建议关注： 1）OEM：潍柴重机、苏美达、科泰电源、泰豪科技等；2）发动机：潍柴动力、玉 柴国际、动力新科等；3）核心零部件：银轮股份、天润工业、长源东谷、中原内配、 威孚高科、渤海汽车、三联锻造、艾可蓝等。 风险提示：1）AI 行业进展低于预期；2）技术迭代风险；3）行业竞争加剧；4）市 场需求测算偏差风险等。 请务必仔细阅读正文之后的评级说明和重要声明 柴油发电机组是数据中心关键电源之一。数据中心供电系统通常由"电网+UPS+ 柴油发电机组"组成，柴发用作后备电源，一旦市电失电 ...

March 2 (Reuters) - The expanding U.S.-Israeli air war against Iran has sparked fresh uncertainty in a region that has attracted billions of dollars of ‌investment commitments as it positioned itself as a global technology and artificial intelligence ‌hub. Countries in the Middle East are investing heavily in artificial intelligence, semiconductor partnerships and cloud computing as ​part of broader transformation plans designed to attract foreign capital and build domestic technology ecosystems. Here ...

本轮融资完成后，OpenAI账上现金增至约1500亿美元，OpenAI称资金将主要用于扩大算力基础设施，以满足快速增长的用户需求。 01 亚马逊分期投入500亿 作为本轮融资出手最阔绰的投资人，亚马逊承诺的500亿美元投资分两阶段执行：首期150亿美元已确定投入，剩余350亿美元将在OpenAI完成 IPO或实现AGI后到位。 所以很快，奥特曼就表示，对在合适的时机上市持开放态度。 而关于AGI，按OpenAI与微软此前的合同定义，AGI指 "能够在最具经济价值的工作上超越人类的高度自主系统"。OpenAI章程中设有一项特 殊条款：一旦AGI实现，微软将失去对其技术的访问权。 但亚马逊不只是出钱，双方还签了一整套技术合作——亚马逊要用自己的芯片和云服务换OpenAI的模型和技术。 2月27日，OpenAI宣布敲定新一轮约1100亿美元融资，投前估值达7300亿美元。 这是继去年410亿美元融资后，OpenAI又一次创下纪录的募资，也是迄今为止规模最大的私营科技公司融资。 本轮融资由战略投资者主导，其中亚马逊投入500亿美元，软银和英伟达各投入300亿美元。 双方合作最核心的条款是算力采购。 OpenAI将在未 ...

证券研究报告 1、全球AI产业仍在快速发展。美国科技巨头在2026年仍在进一步加码AI相关基建投资，希望获得未来竞争优势。其共识可能是：过度投资的风险小 于投资不足的风险。而2026年以Anthropic为代表的大模型公司发布了一系列AI Agent产品，显示出AI相关应用的落地速度较快。AI的发展在短期内可 能会产生一定的通缩效应，但长期影响则值得期待。对中国而言，AI发展的空间与潜力也非常可观。 2、AI产业链持续拉动中国出口增长。2025年3-4月美国关税宣布后，AI产品与其他产品出口趋势发生了明显分野：AI产品出口增速继续向上，其他产 品出口增速则开始回落，2025年8月关税落地后其他产品增速中枢进一步回落。美国科技巨头四季报电话会给出的全年资本开支指引大幅上调，若实 际开支按照此指引执行，2026年AI产品出口同比或将再创新高，为2026年出口韧性带来支撑，预计2026年出口或在4.8%-5.6%之间。 提质增效，科技突围 ——2026年春季宏观展望 姓名 何宁（分析师） 证书编号：S0790522110002 邮箱：hening@kysec.cn 姓名 陈策（分析师） 证书编号：S07905240 ...

Austin, March 01, 2026 (GLOBE NEWSWIRE) -- The Cloud Native Security Service Market size was valued at USD 44.62 billion in 2025 and is expected to reach USD 129.23 billion by 2035, expanding at a CAGR of 11.22% over the forecast period. Government laws requiring data protection compliance, the growing frequency of assaults on cloud-native settings, and organizational demands for automated incident response and real-time threat visibility are all factors propelling the market's expansion. Download PDF Samp ...

Industry Overview - Artificial intelligence (AI) investing is currently experiencing a lull, with market concerns about the high spending on AI computing and the delayed return on investment [1] - AI leaders emphasize the necessity of significant upfront investment to remain competitive in the tech landscape, despite market skepticism [1] Microsoft - Microsoft (MSFT) is identified as a significant value opportunity during the current market sell-off, having posted strong financial results for Q2 of fiscal year 2026, yet its stock has declined [4] - The stock is down approximately 30% from its all-time high, and its price-to-earnings ratio is at a low not seen since 2020, indicating a potential buying opportunity [5] - Analysts predict a rally in Microsoft's stock, suggesting that now is an opportune time for investors to act [7] Broadcom - Broadcom (AVGO) has also seen a sell-off, with its stock down about 20% since the beginning of 2026, presenting a prime buying opportunity [8] - The company's custom AI chip division is a key growth area, partnering with AI hyperscalers to create specialized chips, which serve as alternatives to expensive GPUs [8] - Analysts project significant revenue growth for Broadcom, with expectations of 53% and 39% revenue growth in fiscal years 2026 and 2027, respectively, indicating potential for revenue to double in two years [9] Nebius - Nebius (NBIS) is a rapidly growing company operating an AI-first cloud computing platform, which is gaining popularity among AI developers [10] - The company had an annual run rate of $1.25 billion at the end of 2025, expected to rise to between $7 billion and $9 billion by the end of 2026, driven by new data centers coming online [11] - Nebius has expanded its operational sites from two in 2024 to seven in 2025, with plans to reach 16 sites by the end of 2026, indicating strong demand for its services [12]

电网&工控：1）国网发布服务新能源高质量发展十项举措，提出增强电网资源配置能力、增大分布式电源接入空间等， 建议依次关注主干网、配网、智能化方向；2）金盘科技、华明装备 25Q4 归母净利润分别同比+2%/+7%，业绩基本符 合预期，数据中心、出海仍是核心驱动力；3）伟创电气 25Q4 年归母净利润同比+26%，工控主业加速复苏，符合预期。 本周重要行业事件： 风光储：英国政府首次公开《中英清洁能源合作伙伴关系谅解备忘录》全文；通威公告拟发股收购青海丽豪。 电网：国网发布服务新能源高质量发展十项举措；国网与国家能源集团会谈；内蒙古拟新增特高压柔性直流输电线路。 锂电：3 月国内外锂电产业链排产整体回暖；津巴布韦暂停锂精矿出口。 子行业周度核心观点： 整体观点：两会临近，"绿氢氨醇"作为双碳任务重要增量载体，有望成为政策支持焦点，伊朗局势升级或显著推升 甲醇价格，驱动绿醇加速替代，再次重点强调"绿醇、电解槽等设备、燃料电池及零部件"内外部催化共振机会。在 微软与星链签署全球合作协议、中国光伏企业与北美客户积极推进合作等催化下，以及对万众瞩目的 SpaceX 第三代 星舰或将在 3 月内首次发射（并尝试回收）等重 ...

Summary of Global Software Conference Call Industry Overview - The focus is on the enterprise Software as a Service (SaaS) industry, particularly the impact of AI on software valuations and market dynamics [1][11][12]. Core Concerns Impacting Software 1. **AI Commoditization of SaaS**: There is a belief that AI platforms will commoditize enterprise applications, reducing their value and profitability [17][38]. 2. **Increased Competition**: AI is expected to lower the barriers to entry for new startups, leading to increased competition and potential price wars in the enterprise software market [19][44]. 3. **In-House Application Development**: Enterprises may opt to build their own applications using AI, rather than purchasing existing solutions [18][47]. 4. **Seat Compression**: Automation through AI could lead to a reduction in the number of users (seats) for SaaS applications, impacting revenue models based on user licenses [50][51]. Advantages of Incumbent Vendors - **Domain Expertise**: Established software vendors possess significant domain knowledge embedded in their applications, which is crucial for developing effective enterprise solutions [20][55]. - **Security and Compliance**: Incumbents have established systems for data security and compliance, which are critical for enterprise applications that handle sensitive information [20][56]. - **Customer Relationships**: Existing vendors have established relationships with clients, making it easier for them to introduce new AI capabilities compared to new entrants [21][59]. - **Data Access**: Incumbents have access to valuable data and semantic knowledge that is essential for training AI models effectively [20][58]. Market Dynamics and Valuations - Valuations of many public software companies have decreased significantly due to investor concerns about AI's disruptive potential [7][11]. - The report argues that while the concerns are valid, the market overreacted, and many incumbents are better positioned than perceived [5][21]. Investment Implications - The report recommends focusing on companies with strong moats, such as SAP and Microsoft, which are likely to be AI winners [8][21]. - The enterprise application market is expected to be more resilient, particularly in areas like ERP, which are less susceptible to disruption compared to other software segments [7][21]. Conclusion - While AI poses significant challenges to the SaaS industry, the advantages held by established vendors may mitigate these risks. The transition to AI-driven solutions will take time, allowing incumbents to adapt and maintain their market positions [21][53].

February 26, 2026 08:21 PM GMT Robotics | North America Humanoid Horizons: Can US and China Collaborate on Robots? China-based robotics suppliers appear to be targeting a deeper US market expansion at the same time that US companies are pushing for new domestic capacity. The upcoming Trump/Xi meeting could shape the direction of US-China robotics engagement in the years ahead. Key Highlights on Humanoids 2 Months into 2026: | M February 26, 2026 08:21 PM GMT Humanoid Horizons: Can US and | Morgan Stanley & ...

Summary of Conference Call Notes Companies Involved - Alphabet (GOOGL) - Meta Platforms (META) - Microsoft (MSFT) - Oracle (ORCL) Key Points and Arguments Depreciation Estimates - Updated depreciation model indicates that cumulative depreciation for MSFT, ORCL, META, and GOOGL could exceed **$520 billion** over the next three years, an increase of **$30 billion** from previous estimates, primarily driven by GOOGL [2][5] - Depreciation expense is expected to become a significant portion of these companies' cost structures due to rising capital expenditure (capex) investment rates, which are projected to surpass the dot-com peak this year [2][6] GOOGL's Capex Guidance - GOOGL has notably increased its 2026 capex guidance to between **$175 billion and $185 billion**, significantly above consensus expectations of approximately **$120 billion** [7] - This increase is expected to result in an additional **$20 billion** of depreciation over the next three years, with the most substantial impact on depreciation estimates occurring in **2028**, where estimates rose by approximately **25%**, equating to **13% of revenue** [7][11] Impact on Cost Structure - The shift towards higher capital investment indicates a transition to a larger fixed cost structure, moving away from legacy asset-light business models [14] - Analysts anticipate that expense forecasts will need to be revised higher to reflect the increased capex, which could lead to lower margin expectations if revenue growth does not keep pace [14] Depreciation Growth Rate - Depreciation among hyperscalers is projected to grow at a **CAGR of approximately 60%** over the next three years [3] - The rising depreciation as a percentage of revenue for MSFT, ORCL, META, and GOOGL is illustrated, indicating a trend that could affect overall profitability [15] Financial Implications - Non-depreciation expenses will need to decline rapidly relative to revenue to meet margin expectations, highlighting the pressure on operational efficiency [17][18] Additional Important Information - The estimates for depreciation in FY1 to FY3 are derived from the depreciation model based on Microsoft’s capex estimates, with specific coverage by analysts for each company [5][16] - The lag between capital investment and asset deployment contributes to higher depreciation in future years, emphasizing the importance of timing in financial projections [6] This summary encapsulates the critical insights from the conference call, focusing on the financial implications of increased depreciation and capex for the involved companies.