Market Overview - On February 24, 2026, U.S. stock markets experienced a significant drop, with all three major indices falling over 1%. The Dow Jones Industrial Average dropped by 821.91 points, closing at 48,804.06, a decline of 1.66%. The S&P 500 fell by 71.76 points to 6,837.75, down 1.04%. The Nasdaq Composite also declined by 258.80 points, closing at 22,627.27, a drop of 1.13% [1][2]. Sector Performance - The software services, information technology services, and financial sectors were heavily impacted, while precious metals and non-ferrous metals sectors showed resilience, indicating a shift of funds from high-risk assets to traditional safe havens like gold. The price of gold reached a critical level of $5,200 per ounce, with a daily increase of over 2% [2]. Company-Specific Impact - International Business Machines Corporation (IBM) faced a catastrophic decline, with its stock price plummeting by 13.15%, marking its largest single-day drop since March 2020. This decline was attributed to advancements in artificial intelligence, particularly a new capability from the startup Anthropic that modernizes the COBOL programming language, which is crucial for many legacy systems [3][4][5]. AI Disruption - The introduction of AI tools like Claude Code threatens traditional business models reliant on outdated technologies, as they can significantly reduce the time and resources needed for modernizing legacy systems. This has raised concerns about IBM's future, as it is a major provider of COBOL systems [5][6]. Broader Technology Sector Trends - Other major tech companies also saw declines, with Microsoft down 3.21%, Tesla dropping over 3%, and Amazon falling 2.30%. However, Nvidia and Apple managed to stay slightly positive, indicating a selective investment approach within the tech sector [8][9]. Chinese Stocks Performance - The Nasdaq Golden Dragon China Index fell by 0.95%, showing resilience compared to U.S. indices. However, individual stocks exhibited significant volatility, with declines in cloud computing and online travel sectors. Notably, NIO, a Chinese electric vehicle company, surged by 4.34% due to strong operational data [10][22]. Global Market Reaction - European markets followed the U.S. trend, with major indices like the DAX and CAC40 closing lower. The global market exhibited interconnectedness, with panic selling in the U.S. quickly affecting European stocks [13].

摩根士丹利、花旗等华尔街机构指出，AI算力硬件驱动的全球基础设施投资浪潮仍处于早期阶段，预 计至2030年总规模可能达3万亿至4万亿美元。这一趋势支撑布鲁克菲尔德等资产管理公司加码AI基建 布局。 以上内容基于公开资料整理，不构成投资建议。 经济观察网 布鲁克菲尔德资产管理公司近期完成对云计算公司Ori Industries的收购，并将其并入新成立 的公司Radiant。该交易旨在提供全栈AI算力基础设施服务，包括AI芯片租赁、数据中心空间及电力合 同打包，押注全球AI算力需求持续增长。布鲁克菲尔德估算，全球AI繁荣需约7万亿美元资本投入，其 中AI计算基础设施部分占3万亿美元。 机构观点 ...

华尔街金融巨头高盛集团的策略师们发布研报称，拥有有形性质生产资产的重资产型公司股价正在显著跑赢全球股票市场，主 要因为包括对冲基金与散户们在内的全球投资者们积极寻求能够躲避"人工智能颠覆一切"抛售风暴的安全避风港之际，默契将 投资目光转向那些重资产密集型的HALO(Heavy Assets,Low Obsolescence，即聚焦重资产且低AI淘汰风险)类股票标的。 高盛研究团队表示，其汇编的"重资产密集型"股票篮子——其经济价值来源于实体资产或者实体性质生产资料，自2025年初以 来，较依赖人力或数字资源/资本的"轻量级资本型"股票对照组大幅跑赢约35%。 高盛在研报中所援引的"HALO effect"不是心理学里常说的"光环效应"，而是指那些价值主要来自可复制成本很高、寿命很长的 实体资产/核心产能/制造网络/基础设施的公司，因此被投资者认为不容易被AI快速替代或"技术性淘汰"，在AI焦虑升温时更容 易获得"避风港溢价"。 典型特征主要包括两点，首先是重资产类生产资料壁垒，比如电网/矿山/油气资产/大型公用事业网络、关键AI基础设施制造商 等，这些领域的AI复制成本可谓极高，并且人类技术价值难以被AI攻克 ...

智通财经APP获悉，北美资管巨头布鲁克菲尔德资产管理公司(BAM.US)顺利完成收购云计算公司Ori Industries，押注各政府组织以及全球科技公司为了在不断升级且愈发激烈的人工智能竞赛中取胜，将需 要获得天量级别的AI芯片等最核心AI算力基础设施以及电力资源。 这家由沙特阿美风投部门支持的云计算类初创公司，已并入Radiant——这是布鲁克菲尔德新设立的一 家公司，旨在按需提供对于AI算力基础设施的访问权，即按Token需求或者合同锁定形式提供云端级别 的AI训练/推理算力系统，或者把整个AI服务器集群乃至电力系统、数据中心打包出租。布鲁克菲尔德 在周二的一份声明中公布了这一交易，但未披露交易条款。 Radiant 的核心更接近"AI GPU/AI ASIC芯片租赁(chips-for-rent / leasing)+ AI算力合同锁定现金流"的AI 算力基础设施创收路径：布鲁克菲尔德把Radiant定位为提供全栈AI训练/推理服务/AI工厂，并且有能力 服务主权云等受监管算力场景。 布鲁克菲尔德通过收购Ori并将其并入新公司 Radiant，把"GPU/AI 芯片"从一次性重资本开支(CapEx)产 ...

1. 2月24日(周二)美股盘前，美股三大股指期货齐涨。截至发稿，道指期货涨0.23%，标普500指数期货涨0.15%，纳指期货涨0.33%。 | = US 30 | 48,915.60 | 48,970.30 | 48,768.50 | +111.50 | +0.23% | | --- | --- | --- | --- | --- | --- | | ■ US 500 | 6,848.10 | 6,862.60 | 6,838.40 | +10.40 | +0.15% | | ■ US Tech 100 | 24,790.20 | 24,845.70 | 24,708.30 | +81.30 | +0.33% | 2. 截至发稿，德国DAX指数跌0.08%，英国富时100指数跌0.10%，法国CAC40指数涨0.03%，欧洲斯托克50指数跌0.07%。 | 德国DAX30 | 24,965.60 | 25,010.60 | 24,878.10 | -20.98 | -0.08% | | --- | --- | --- | --- | --- | --- | | 英国富时100 | 10,674.45 | ...

Group 1: AI and Token Consumption - The AI industry is experiencing a surge in token consumption, driven by major internet platforms investing heavily to transition users from traditional search to chatbots, thereby increasing reasoning volume and accelerating token consumption [1][4] - By December 2025, ByteDance's Doubao model is expected to reach a daily token usage of over 50 trillion, a tenfold increase from the previous year, while Google's platforms are projected to handle 1.3 trillion tokens monthly, up from 97 billion a year prior [4] - The rising demand for tokens is leading cloud service providers to increase their prices, with Amazon and Google announcing price hikes for their machine learning services in early 2026 [4][5] Group 2: Power and Cooling Solutions - The demand for AI computing power is escalating, but stricter policies on data center energy consumption are pushing the industry towards more efficient cooling solutions, such as liquid cooling, which can achieve a Power Usage Effectiveness (PUE) of 1.1 to 1.2 compared to traditional air cooling systems [1][11] - Companies like 算想科技 are transitioning to liquid cooling solutions, with expectations that the share of liquid-cooled servers will rise from 5% to 60-70% in the coming years due to technological advancements that reduce costs [12] - The first commercial immersion liquid cooling project using silicon-based cooling fluids has been launched, demonstrating the reliability and economic viability of these materials in real-world conditions [13] Group 3: Market Dynamics and Trends - The AI computing power rental market is experiencing significant growth, with many AI companies shifting from building their own computing power to renting it due to rising hardware prices [6][7] - Industry leaders are investing heavily in AI cloud infrastructure, as evidenced by NVIDIA's $2 billion investment in CoreWeave to enhance AI computing capabilities [8] - The market is witnessing structural contradictions, with traditional computing power rental models still dominant, but a shift towards edge computing and inference power is becoming more pronounced as AI applications expand [9][10]

2月24日，AI产业链方向震荡分化，集成电路、CPO板块活跃，云计算板块回调。截至收盘，中证人工智能主题指数上涨0.2%，中证科创创业人工智能指数 下跌0.4%，上证科创板人工智能指数下跌2.8%，人工智能ETF易方达（159819）全天净申购超7000万份。 中信证券研报称，预计算力板块2025年业绩将在CSP大厂Capex持续兑现、Token需求不断释放、产品能力不断提升等背景下持续景气增长；AI应用显现结构 性亮点，如AI金融科技、AI医疗、AI数据等领域表现突出，通用Agent应用亦韧性增长；板块整体盈利有望明显改善。展望2026年，算力景气有望持续、AI 应用迎拐点机遇。 | | | 声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 ...

华尔街金融巨头高盛集团(Goldman Sachs Group Inc.)策略师称，拥有有形性质生产资产的重资产型公司股价正在显著跑赢全球 股票市场，主要因为包括对冲基金与散户们在内的全球投资者们积极寻求能够躲避"人工智能颠覆一切"抛售风暴的安全避风港 之际，默契将投资目光转向那些重资产密集型的HALO(Heavy Assets,Low Obsolescence，即聚焦重资产且低AI淘汰风险)类股票 标的。 高盛研究团队表示，其汇编的"重资产密集型"股票篮子——其经济价值来源于实体资产或者实体性质生产资料，自2025年初以 来，较依赖人力或数字资源/资本的"轻量级资本型"股票对照组大幅跑赢约35%。 包括Guillaume Jaisson等策略师在内的高盛研究团队在这份客户报告中称，投资者们正日益转向他们所称具备"HALO效应"的重 资产类股票——即那些所掌握的资产厚重无比且面临AI淘汰风险低得多的股票，这些股票主要集中在公用事业、基础资源、半 导体设备制造以及能源等传统制造行业。 "市场正在奖励产能、高密度制造网络、基础设施以及极其复杂的制造项目工程——这些资产复制成本极其昂贵，且需要人工 智能系统持续耗巨 ...

自家AI编码助手在处理客户系统时，自主决策"删除并重建整个环境"为最优方案，并导致宕机13小时？ 近日，有媒体报道称，亚马逊核心业务板块AWS（Amazon Web Services，亚马逊云计算服务）曾在2025年年末出现一次持续13小时的宕机事件，且 与其自家的人工智能编程助手Kiro有关。报道称，AWS贡献了亚马逊约六成营业利润。另有匿名员工透露，公司要求80%的开发者每周至少一次使 用AI完成编码任务，并密切追踪采用情况。 事件曝出后，亚马逊当天即发表声明，并通过多家媒体反复强调"这是用户错误"——具体系访问权限（IAM角色）配置不当，而非AI错误；同时称 事件影响"极为有限"，未波及核心计算、存储、数据库或AI服务，也未收到客户投诉。 事件曝光后，科技圈在社交平台掀起"玩梗"热潮，同时也再次将"Agentic AI（代理式AI）"在生产环境中的安全风险推至聚光灯下。 "当平台提供具备高度自主性的Agentic AI时，应承担安全设计与风险提示义务。试图仅以用户配置失误来豁免技术提供方责任，忽视了平台作为服 务提供者在风险预防中的主体作用。"中国政法大学教授、联合国高级人工智能咨询机构专家、《人工智能 ...

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]