Core Viewpoint - The focus of the market has shifted towards the substantial capital expenditure budgets set by major tech companies for 2026, which are significantly higher than expected, totaling approximately $650 billion, indicating a strong commitment to AI development despite concerns from investors about the aggressive spending plans [1][4]. Group 1: Capital Expenditure Plans - Amazon is projected to have a capital expenditure of $200 billion in 2026, exceeding analyst expectations of $144.7 billion, representing a year-over-year increase of over 50% from $131 billion in 2025 [2][3]. - Alphabet (Google) anticipates capital expenditures between $175 billion and $185 billion for 2026, a significant increase from $91.4 billion in 2025, reflecting a growth rate of approximately 91.5% to 102.4% [3]. - Meta plans to double its capital expenditure to between $115 billion and $135 billion in 2026, compared to $72.2 billion in 2025, indicating a growth rate of 59.3% to 87% [3]. - Microsoft is expected to reach a capital expenditure of $105 billion for its fiscal year ending in June 2026, with a reported $37.5 billion in capital expenditures for the second fiscal quarter, marking a 66% year-over-year increase [2][3]. Group 2: Investment Focus and Strategy - The investment strategies of these companies are aligned, focusing on the strong demand for AI while addressing capacity constraints that require increased investment [4]. - Meta is prioritizing investments in computational infrastructure, with plans to build large-scale data centers to support AI models and ensure stable power supply [4]. - Alphabet aims to enhance its computational and cloud services capabilities, with approximately 60% of its 2026 capital expenditures allocated to servers and 40% to data centers and network equipment [5]. - Amazon's capital expenditures will primarily support its cloud business (AWS) to meet strong customer demand, emphasizing the ability to quickly deploy computing resources [6]. Group 3: Market Performance and Concerns - The cloud business is becoming a high-return investment area in the AI sector, with notable performances from major cloud service providers during the earnings season [7]. - Amazon's AWS sales reached $35.6 billion in Q4 2025, a 24% year-over-year increase, while Microsoft's cloud revenue grew 26% to $51.5 billion, and Alphabet's cloud revenue increased 48% to $17.7 billion [8]. - Despite the strong order backlog, which includes $240 billion for Google Cloud and $244 billion for AWS, there are concerns about the pressure on profitability and cash flow due to the need for continued capital investment [8][9]. Group 4: Financial Health and Investor Sentiment - Amazon's free cash flow has dropped significantly from $38.2 billion to $11.2 billion over the past year, with predictions of a negative free cash flow of $17 billion in 2026 [9]. - Alphabet is also facing challenges, with projections indicating a 58% and 80% drop in free cash flow per share for the fiscal years 2026 and 2027, respectively [9]. - Microsoft's aggressive capital expenditure plans have raised concerns among investors, leading to a 10% drop in its stock price following its earnings report, the largest single-day decline since March 2020 [9][10].

上周，甲骨文也发行了价值250亿美元的债券，并成为2026年首家试水债务市场的大型科技公司。此外，据市场消 息，Meta也计划在今年进行大规模债券发行，以期加速推进在美国境内建设数据中心的计划。 最新的财报则预计，微软、谷歌、亚马逊、Meta和甲骨文等公司今年在AI基础设施方面支出的投入可能高达7000亿 美元。 当地时间2月10日，瑞银警告称，AI基础设施支出可能已接近峰值。瑞银首席投资办公室当天下调了美国科技板块评 级至中性。 在瑞银发出最新警告后，当天美股收盘，科技板块股价普遍下跌。谷歌股价下跌近1.8%，Meta、亚马逊等公司股价 均下跌近1%。 瑞银下调评级的举措发生在美国软件股经历了一周惨重的暴跌之后。投行杰富瑞分析师也在近期的一份报告中指 出，AI资本支出将面临放缓，这是目前科技行业投资面临最大的不利因素。 不过科技公司扩大AI资本支出的野心并未受到影响。谷歌已于周一发行了罕见的100年期的"世纪债券"，以支持AI基 础设施的扩张。根据IFR的数据，谷歌百年债券的认购额几乎是目标金额的十倍，收益率为 6.05%。 相关统计数据显示，过去3年里，科技巨头在AI基础设施方面的支出增长了超过4倍。而最 ...

7400亿美元的2026年AI资本开支同比增长约70%，正吞噬美股科技巨头经营现金流，除微软外，其他公司自由现金流或转负。AI相 关债务占美国IG债市约14%，资金由股市溢价转向债市承接。随着现金流和融资压力加剧，市场容错率下降，一旦回报兑现节奏放 缓，风险将向更广泛资产蔓延。 当硅谷巨头们的AI资本开支膨胀到接近全年现金流规模时，市场关心的已不再是"值不值"，而是"撑不撑得住"。 据最新公开数据显示，谷歌、亚马逊、微软、Meta四家超大规模云厂商2026年合计资本支出指引约为 6500亿美元 。 若计入甲骨文（Oracle）与CoreWeave，整体规模上升至 7400亿美元 。 这些数字不仅高于市场预期，而且是 成倍级别的偏离 。 7400亿美元 意味着什么？ 7400亿美元较2025年同比增长约 70%； 它是2025年底市场一致预期（约35%的资本支出增长）的 两倍； 7400亿美元接近整个超大规模云厂商体系 全年经营现金流总量。 更值得警惕的是：高盛分析师Shreeti Kapa指出，如果达到这一水平，这种支出的强度将接近上世纪90年代互联网泡沫巅峰时 期占GDP 1.4%的水平 。虽然仍低于工业革 ...

来源：格隆汇APP Hawtin还指出，人工智能竞赛中一个关键因素可能决定胜负：专有数据。"数据的所有权将绝对决定谁 能最终胜出。"并以谷歌母公司Alphabet去年的强劲表现为例。Hawtin表示，尽管Alphabet去年起初表现 不佳，但最终仍成为"科技七巨头"中表现最好的公司，全年涨幅达65%，而"这主要归功于其庞大的专 有数据集"。 格隆汇2月11日｜"科技七巨头"——苹果、微软、亚马逊、Alphabet、Meta、特斯拉和英伟达——不断 增长的资本支出，预示着投资者面临的风险增加，并可能成为这些主导公司最终跑输大盘的催化剂。这 是英国基金管理公司Liontrust全球股票主管Hawtin的最新观点。他指出，最近财报中宣布的激进支出计 划是那些寻求可靠回报的股东们最关心的问题。 ...

以下文章来源于科创板日报 ，作者张真 科创板日报 . 专注科创板和科技创新，上海报业集团主管主办，界面财联社出品。 美国联邦通信委员会（FCC）表示，已批准亚马逊部署4500颗卫星。 这家公司计划扩大其卫星星座，以与埃隆·马斯克的SpaceX展开竞 争。 此次批准后，亚马逊计划部署的"低地球轨道卫星星座"规模将达到约7700颗卫星。去年4月以来，该公司已利用多家火箭发射服务商发射了 超过150颗卫星。亚马逊表示，其目标是在 今年晚些时候通过名为"Leo"（Low Earth Orbit）的服务开始提供卫星互联网服务 ，该项目于 2019年宣布启动。 横向对比来看，亚马逊部署卫星规模与SpaceX尚有差距。1月31日，FCC表示，SpaceX正在申请发射并运营一个由至多100万颗卫星组成 的星座，这些卫星具备前所未有的计算能力，以支持先进的人工智能。 SpaceX表示，"为了提供支持全球数十亿用户的大规模AI推理及数据中心应用所需的计算能力，SpaceX拟部署最多100万颗卫星系统，这 些卫星拟部署在高度500公里至2000公里的轨道上，将在宽度高达50公里的狭窄轨道壳层内运行。" 在亚马逊向SpaceX发起挑 ...

注：指数成分股可能随指数编制规则发生变动，不构成任何投资建议或个股推荐。提及个股仅用于 行业事件分析，不构成任何个股推荐或投资建议。指数等短期涨跌仅供参考，不代表其未来表现，亦不 构成对基金业绩的承诺或保证。观点可能随市场环境变化而调整，不构成投资建议或承诺。提及基金风 险收益特征各不相同，敬请投资者仔细阅读基金法律文件，充分了解产品要素、风险等级及收益分配原 则，选择与自身风险承受能力匹配的产品，谨慎投资。 每日经济新闻 相关机构表示，AI 数据中心需求推动光纤光缆量价齐升。数量上，光纤光缆被广泛应用在数据中 心 Scale Out 场景，伴随传输速率和配套光模块升级，传输通道数及光缆芯数也在增长；后续 Scale Across 和 Scale Up 场景亦有望打开光纤光缆的增量市场。价格上，行业供需关系改善引导G.657.A1、 多模等数据中心用光纤价格上行，同时也带来小芯径、超低损、空芯光纤等高价值产品需求。根据 C114 通信网，1 月 28 日，Meta 与康宁达成协议，拟于 26-30 年投资 60 亿美元用于 AI 数据中心光纤电 缆，印证行业景气度。 2 月 4 日及 2 月 5 日，谷歌母公 ...

Group 1: Capital Expenditure Insights - Major cloud providers including Google, Amazon, Microsoft, and Meta are projected to have a combined capital expenditure guidance of approximately $650 billion for 2026, which increases to $740 billion when including Oracle and CoreWeave [1][3] - The $740 billion figure represents a 70% year-over-year increase compared to 2025 and is double the market consensus expectation of 35% growth for that year [3][4] - This level of capital expenditure is nearing the total annual operating cash flow of the entire large-scale cloud provider ecosystem, raising concerns about sustainability [3][5] Group 2: Financial Implications - Goldman Sachs analysts warn that if capital expenditures reach $700 billion by 2026, it would be comparable to the peak internet bubble's spending intensity, which was 1.4% of GDP [3][5] - Cash flows are being significantly impacted, with predictions that many companies will exhaust their free cash flow, leading to increased reliance on debt financing [5][9] - The AI investment boom is causing a shift in the debt market, with AI-related investment-grade debt accounting for about 14% of the U.S. investment-grade market, surpassing the banking sector [8][13] Group 3: Debt Market Dynamics - Major tech companies are increasingly turning to the debt market to fund their AI-related expenditures, with Oracle issuing a record $25 billion in bonds and Google following with a $20 billion issuance [14][16] - Despite strong initial demand for these bonds, signs of strain are emerging in the debt market, with widening spreads and underperformance of newly issued bonds [16][18] - The software industry is facing valuation challenges as AI tools disrupt traditional software demand, posing risks to private credit markets heavily invested in software companies [19][22] Group 4: Strategic Considerations - Companies are caught in a "prisoner's dilemma," where failing to invest in AI could result in losing market share, while over-investing could lead to financial strain [23][26] - The potential outcomes hinge on the return on investment (ROI) from these massive capital expenditures, with a significant gap between projected profits and required returns [28][29] - Two scenarios are outlined: a bullish scenario where AI adoption mirrors cloud computing's trajectory, and a bearish scenario reminiscent of past tech failures, indicating that not all companies may achieve sufficient long-term profitability [31]

证券研究报告 | 2026年02月09日 2026年02月10日 制造成长周报（第 46 期） 优于大市 第三代特斯拉人形机器人即将亮相，Spacex 收购人工智能公 司 xAI 重点事件点评&重点关注：商业航天、人形机器人、AI 基建 事件 1-特斯拉第三代人形机器人即将亮相：2026 年 2 月 6 日，据特斯拉官 方微博消息，第三代特斯拉人形机器人即将亮相，预计年产百万台。 事件 2-Spacex 宣布以全股票交易形式收购人工智能公司 xAI：2026 年 2 月 2 日，马斯克旗下的 Spaex（太空探索技术公司）正式宣布，以全股票交 易形式收购其人工智能公司 xAI。 事件 3-亚马逊 2026 年资本支出预计增长至 2000 亿美元：2026 年 2 月 5 日，亚马逊发布财报，表示正积极投资数据中心等基础设施以满足 AI 需求的激增，预计 2026 年投入约 2000 亿美元资本支出，同比增长超过 50%。 商业航天点评：SpaceX 收购人工智能公司 xAI，太空算力发展有望加速协同 发展，太空应用场景的落地将带动火箭发射需求，运力提速发展也将打开更 多应用场景。我们持续看好商业航天的长期投资 ...

亚马逊披露持有Beta Technologies 5.3%的股份，这是一家去年上市的电动航空公司。根据周二提交给美 国证券交易委员会的一份文件，亚马逊的子公司Amazon.com NV Investment Holdings持有Beta约1,180万 股股票。亚马逊最初于2021年宣布投资Beta，此项投资是其专注于气候领域的基金的一部分。总部位于 佛蒙特州的Beta设计、制造和销售电动飞机、电力推进系统、零部件和充电系统。Beta股价在盘后交易 中上涨19%，至19.94美元。截至收盘，该股在过去三个月里已下跌51%。 来源：滚动播报 ...

Group 1 - BYD has filed a lawsuit against the U.S. government to reclaim tariffs imposed on imported materials, claiming significant costs for its operations in the U.S. [2] - Over 1,000 companies, including major players like Costco and Toyota, have initiated similar lawsuits against the U.S. government regarding tariffs [2]. - NIO's CEO Li Bin emphasized the importance of optimizing the CBU mechanism to maximize efficiency and minimize costs in the company's operations [6]. Group 2 - Ford's global sales fell by approximately 2% to around 4.4 million units, while BYD's sales reached 4.6 million units, marking a significant shift in the automotive market [6]. - BYD aims to increase its export volume to 1.3 million units in 2025, following a successful year of expansion in Europe, South America, and Asia [6]. - NIO plans to implement a "store partner" program to enhance operational efficiency and market responsiveness, allowing store managers greater decision-making power [6]. Group 3 - The European Union has approved Google's acquisition of cybersecurity startup Wiz for $32 billion, marking Google's largest acquisition to date [9]. - Apollo Global Management is nearing a $3.4 billion loan agreement to finance the purchase of NVIDIA chips for Elon Musk's xAI [10]. - Alibaba's DAMO Academy has released an open-source foundational model for embodied intelligence, RynnBrain, enhancing its AI capabilities [10]. Group 4 - The Shanghai government has opened over 5,200 kilometers of autonomous driving test roads, with plans to expand the testing area further [17]. - Toyota and Nissan reported sales increases in China for January, while Honda's sales continued to decline due to delays in new electric vehicle launches [17]. - The launch of the Robotaxi ride-hailing service by Alipay indicates a growing trend towards automated transportation solutions in urban areas [15].