美国知名能源公司AES(AES.US)与科技巨头谷歌(GOOGL.US)正式签署了一项为期20年的电力供应协 议，旨在为谷歌在德克萨斯州威尔巴格县(Wilbarger County)新建的超大规模数据中心提供长期稳定的能 源支持。 此外，双方还强调，通过增加新的清洁发电产能，该合作不仅能满足科技巨头的用能需求，还能在保护 当地能源可负担性方面发挥作用，最大限度减少对德州居民电费支出带来的潜在负面影响。 市场对这一消息反应积极，AES股价在协议宣布当日盘前交易中应声上涨逾2%。 此次合作正值人工智能技术对算力需求爆发式增长的背景下，谷歌正通过该项目确保其在德州新兴AI 园区的能源安全。谷歌方面表示，在威尔巴格县新建的数据中心将与其现有的Midlothian和Red Oak园区 共同构成强大的算力矩阵，有力支撑全球云服务及AI业务的扩展。 根据双方公布的合作细节，该项目将采取创新的"同址发电"模式。AES计划在谷歌数据中心附近直接建 设并运营专门的发电设施，这种模式能够显著降低对当地公共电网的依赖与压力，提高能源传输效率。 除了长达20年的电力购买协议外，AES还将承担该园区的全面能源管理职责，包括土地获取、电网 ...

AES 公司周二宣布，已与谷歌签署一份20 年协议，为这家美国科技巨头计划在得克萨斯州威尔巴格县 新建的数据中心供电。 AES 表示，还签署了与新数据中心配套建设的发电项目协议，支持谷歌扩大运营，以满足其核心服务 需求。 这家公用事业公司的股票在盘前交易中上涨1.2%。 AES 公司周二宣布，已与谷歌签署一份20 年协议，为这家美国科技巨头计划在得克萨斯州威尔巴格县 新建的数据中心供电。 AES 表示，还签署了与新数据中心配套建设的发电项目协议，支持谷歌扩大运营，以满足其核心服务 需求。 这家公用事业公司的股票在盘前交易中上涨1.2%。 随着人工智能热潮引发电力需求激增，美国公用事业公司正争相与数据中心运营商签署供电协议。不 过，这一需求也引发了用户电费上涨的担忧。 谷歌数据中心能源全球主管阿曼达・彼得森・科里奥表示，该协议将为数据中心带来新增清洁发电项 目，减轻当地电网压力，并有助于控制能源成本。 截至目前，AES 已与数据中心客户签署了近12 吉瓦的能源相关协议，其中9 吉瓦为与超大型云服务商 直接签订的购电协议。 随着人工智能热潮引发电力需求激增，美国公用事业公司正争相与数据中心运营商签署供电协议。不 ...

美国电力能源公司（AES）与谷歌数据中心签署供电协议后，盘前股价上涨2.5%。 来源：滚动播报 ...

Google and AES Sign 20-year PPAs for Co-Located Generation ARLINGTON, Va., Feb. 24, 2026 /PRNewswire/ -- The AES Corporation (NYSE: AES) today announced agreements for energy generation that will be co-located with a new Google data center in Wilbarger County, Texas. ...

高盛表示，令投资者将们颇感意外的是，美股市场的金融股是净卖出规模最高的板块，而能源、医疗保 健与必需型消费品等长期以来的避险型防御板块的最新仓位则显示出现最大规模净买入。不过该机构未 将金融板块进一步细分为子类别。 "尽管从全球市场、美国以及欧洲市场的角度来看，半导体与软件之间的对冲基金仓位差距仍然非常极 端且严重拉伸，但这种轮动似乎放缓了，或出现了一些逆转，"摩根大通的这份报告显示。 该机构表示，在前一周遭遇创纪录规模的巨额抛售之后，美股市场的软件股标的确实出现了一些买盘净 回流，但未对该比较给出具体时间范围。 另一华尔街金融巨头高盛近日发布的客户投资说明则显示，从截至2月14日的当周之后，对冲基金投资 机构们的杠杆率有所上升，并接近一年以来的最高水平。与此同时，聚焦杠杆策略的对冲基金们杠杆率 回升接近一年高位，往往意味着一旦宏观/关税/地缘再出"显著噪音"，回撤也会更陡。 该客户说明称，全球股票市场的截至2月19日当周的最新净卖出规模已升至自美国总统唐纳德·特朗普去 年4月宣布一连串进口关税以来的最高水平。 智通财经APP获悉，华尔街金融巨头摩根大通(JPM.US)周二发给客户们的一份研究报告显示，有着" ...

U.S. stock futures are showing signs of stabilization on Tuesday morning, February 24th, 2026, as investors attempt to recover from a bruising session that saw major indexes tumble. Premarket activity indicates a modest rebound, with futures for the S&P 500 (SPY) rising 0.34% and Nasdaq 100 (QQQ) futures gaining 0.49%. The Dow Jones Industrial Average (DIA) futures are also up approximately 127 points, or 0.2%, as market participants engage in bargain hunting following Monday’s sharp sell-off.The previous s ...

Group 1 - The U.S. government will stop collecting illegal tariffs on imported goods starting February 24, leading to a rise in major stock index futures [1] - Amazon announced a $12 billion investment to build advanced data centers in northwestern Louisiana, expected to create 540 full-time jobs and 1,710 full-time equivalent positions [1] - Tesla's new car registrations in the EU fell by 17% in January, with sales dropping to 8,075 vehicles compared to 9,733 in the same month last year, resulting in a market share decline from 1.0% to 0.8% [1] Group 2 - Anthropic will hold a live event to showcase its AI assistant Claude, targeting corporate executives, amid market anxiety contributing to a significant drop in stock prices [2] - PayPal has attracted interest from potential buyers, with at least one major competitor exploring a full acquisition, while others are focusing on specific assets [2] - The White House is pressuring tech executives to commit to covering the costs of data center operations without passing on expenses to consumers [3] Group 3 - FedEx is suing the U.S. government for a full refund of tariffs it has paid, seeking reimbursement for all IEEPA tariffs [3] - Apple plans to produce some new Mac Mini models in the U.S. later this year, with manufacturing set to begin at a Foxconn facility north of Houston [3] - Uber announced its acquisition of parking app SpotHero to enhance its app's parking reservation capabilities for events and venues [4]

World shares were mixed Tuesday after U.S. stocks slumped on heavy selling of shares in companies that could be losers in the artificial-intelligence boom.A report by Citrini Research, a New York-based financial services company, that outlined a future scenario in which AI's dominance caused the “human-centric consumer economy,” to wither away with dire consequences for employment, was the latest hit to confidence for companies that might be displaced by fast expanding use of the technology.“Policy response ...

Core Insights - The global investment wave in AI is reshaping the technology industry and capital markets, characterized by significant capital accumulation since 2008, driven by large models, computing infrastructure, and data center construction [1] - The current AI investment cycle is marked by larger scales, faster paces, and shorter depreciation cycles compared to traditional tech cycles, creating a feedback loop that may lead to systemic risks [1] - The AI industry is experiencing a dual-track development between profit potential and cost realities, leading to market fluctuations between prosperity and bubbles [1] AI Investment Historical Progression - The early exploration phase (1950s-1980s) focused on academic research with limited investment, primarily funded by government grants [2] - The AI winter (1980s-1990s) saw a significant reduction in investment due to unmet market expectations and technological limitations [2] - The revival phase (2000s-2010s) was driven by the internet and big data, leading to renewed investment interest, particularly in data-driven algorithms [3] - The rapid development of generative AI since 2021 has sparked a new investment frenzy, with significant stock price increases for major companies like NVIDIA (up 964%) and Google (up 211%) [4] Industry Structure and Participants - The AI industry is advancing across three levels: infrastructure, platforms, and applications, with various stakeholders driving capital flow and technology implementation [5] - Major tech companies and cloud providers are the primary drivers of infrastructure and platform capabilities, while smaller cloud service providers and private equity are facilitating access to AI services for SMEs [7] - The financing structure for AI infrastructure is becoming more diversified, involving private credit and various forms of debt financing, which introduces complexities in risk management [8] Financing Forms and Cycle Characteristics - AI hardware, particularly GPUs and AI-optimized servers, has a short update cycle, leading to intensive capital expenditures and rapid depreciation [10] - In large AI data center projects, GPUs account for approximately 40-50% of total capital expenditures, significantly impacting financial pressures [10] Similarities and Differences with the Dot-Com Bubble - The current AI investment trend shares similarities with the 1999 internet bubble, including market enthusiasm and overvaluation of companies [11] - However, the technological foundation of AI is more robust, with established applications across various industries, unlike the immature internet technologies of the late 1990s [12] - The AI investment landscape is more diverse, involving various financing methods and a stronger connection to global infrastructure, which provides long-term value [12] Potential for AI Bubble and Transmission Paths - The potential for an AI bubble to burst is linked to valuation logic, macroeconomic policies, and global capital flows, with a likelihood of gradual structural adjustments rather than a sudden collapse [15] - Key triggers for a potential bubble burst include slower-than-expected commercialization of AI models and rising refinancing costs due to tightening monetary policies [16] Cross-Border Risk Transmission - The global nature of AI investments means that market adjustments could have cross-border impacts, particularly in emerging markets reliant on foreign currency financing [18] - Macroeconomic policies from major central banks will significantly influence the risk landscape, affecting debt burdens and risk premiums across the AI investment spectrum [19]

分析师还指出："在过去三年中，'美股七巨头'加上甲骨文的资本支出总额约占经营现金流总额的40%或 更低，但在2025日历年，这一占比已上升至约50%，并预计在2026和2027日历年将达到60%以上。尽管 人工智能驱动的需求为长期投资提供了令人信服的逻辑，但短期后果是自由现金流走弱、资本回报受 限，以及对融资环境的敏感度上升。如果债务成为基础设施扩张更为重要的资金来源，我们预计投资者 的关注点将转向资本密集度更低、更加注重投资资本回报率和资本配置效率的资产。" 智通财经APP获悉，根据Evercore ISI的数据，在人工智能(AI)基础设施支出大举扩张之际，微软 (MSFT.US)预计将成为"美股七巨头"中唯一在2026年实现自由现金流增长的超大规模云服务商。 Evercore指出，亚马逊(AMZN.US)、谷歌(GOOGL.US)以及Meta Platforms(META.US)预计将在2026年出 现自由现金流同比下降，另一家不属于"美股七巨头"的大型云服务提供商甲骨文(ORCL.US)的自由现金 流也预计将出现下滑。相比之下，微软在2026年的自由现金流预计将实现5%的增长，"美股七巨头"中 的另外两 ...