AI的故事，正在从"软件吞噬世界"，演变为"硬件被世界卡住"。 在极度撕裂的美国政治环境中，能让极左翼参议员伯尼·桑德斯（Bernie Sanders）和极右翼州长罗恩·德桑蒂斯（Ron DeSantis）站在同一阵线的议题几乎不 存在——除了 "遏制数据中心" 。 这不仅是华盛顿的政治奇观，更是华尔街面临的冷酷"物理修正"。当硅谷巨头们挥舞着比"阿波罗登月计划"还要昂贵的支票簿，试图通过堆砌算力延续AI繁荣 时，他们撞上了 由政治和物理电网极限共同筑就的高墙。 纽约州立法者也已经提出法案，计划对新建数据中心的建设和运营许可实施至少三年的暂停。纽约至少是第六个考虑暂停新数据中心建设的州。 总之，从佛罗里达州的社区抗议，到德克萨斯州电网的监管急刹车，一个被市场忽视的风险正在急剧升温： 如果物理电网接不上、政治环境不答应，那原本计 入估值模型的数千亿美元资本开支，可能根本"花不出去"。 当桑德斯与德桑蒂斯"合谋" 桑德斯和德桑蒂斯在绝大多数议题上势同水火，但在数据中心激增的问题上，他们达成了罕见的共识： 必须踩下刹车。 这种跨党派"联合"的敌意，源于美国民众对"AI副作用"的切肤之痛。全美各地，数据中心24小时不 ...

以下文章来源于硬AI ，作者专注科技产研的 硬AI . AI时代，快人一步~ 随着AI基础设施建设的军备竞赛进入"深水区"，一个令投资者不安的转折点已然浮现：为了支撑AI算力需求，亚马逊、谷歌和Meta正面临自由现金流被耗尽甚 至透支的风险。 根据摩根大通2026年2月5日发布的研究报告，美国四大云巨头——亚马逊、谷歌、Meta和微软，2026年总资本支出预计将达到 6450亿美元 ，同比激增 56%，新增支出将达到惊人的2300亿美元。 如果说谷歌还只是在"疯狂花钱"，那么 亚马逊 则堪称"透支未来"。 2026年，亚马逊的资本支出指引约为 2000亿美元 （同比增长52%）。但问题的核心在于，亚马逊赚回来的现金已经盖不住支出了——据标普全球市场分析师 预测，亚马逊2026年的运营现金流（OCF）约为 1780亿美元 。 对于投资者而言，2026年，或将是紧盯科技巨头资产负债表的一年。 谷歌的97%增速与亚马逊的"现金赤字" 在这场基建狂潮中， 谷歌 的投入非常激进。 2026年，谷歌的资本支出指引已上调至 1750亿至1850亿美元 ，同比增速高达 97% ，其资金正疯狂涌向服务器和技术基础设施。 这意味 ...

Investment Rating - The industry is rated positively, with expectations of significant growth in capital expenditures from major companies like Amazon and Google, indicating a bullish outlook for the sector [1][26]. Core Insights - Amazon raised its 2026 capital expenditure forecast to $200 billion, a more than 50% increase from $131 billion in 2025, driven by strong demand signals in AI hardware and cloud services [1]. - Google's parent company, Alphabet, expects its 2026 capital expenditure to be between $175 billion and $185 billion, nearly double its 2025 spending, reflecting robust growth in its cloud business [1]. - The demand for AI infrastructure is expected to lead to a significant increase in ASIC (Application-Specific Integrated Circuit) numbers from major tech companies, with a projected explosive growth in 2026-2027 [1][4]. - The semiconductor and PCB (Printed Circuit Board) sectors are anticipated to benefit from the strong demand for AI, with many companies in these areas experiencing high order volumes and expansion plans [4][26]. Summary by Sections Section 1: AI and Cloud Infrastructure - Amazon's AWS cloud division saw a 24% year-over-year growth, with a backlog of $244 billion, indicating strong enterprise investment in AI and cloud services [1]. - Google's cloud revenue reached $17.7 billion in Q4, a 48% increase year-over-year, driven by strong demand for enterprise-level AI products [1]. Section 2: Semiconductor and PCB Industry - The PCB industry is maintaining high demand due to the growth in automotive and industrial applications, with expectations of price increases for copper-clad laminates [6]. - AI-driven demand is expected to boost PCB prices and volumes, with companies actively expanding production to meet this demand [4][26]. Section 3: Consumer Electronics - The consumer electronics sector is seeing a continuous expansion of AI applications, particularly in the Apple supply chain, with innovations in foldable devices and AI glasses [5]. - The demand for AI-enabled devices is expected to drive significant growth in the market, with various manufacturers exploring new product categories [5]. Section 4: Semiconductor Equipment and Materials - The semiconductor equipment sector is experiencing a robust upward trend, with significant capital expenditures expected to support the growth of advanced manufacturing processes [23][25]. - The materials sector is also poised for improvement, with a focus on domestic production capabilities in response to international supply chain challenges [25][34]. Section 5: Company-Specific Insights - Companies like North Huachuang and Zhongwei are positioned to benefit from the increasing demand for semiconductor equipment and materials, with strong growth prospects in their respective markets [28][30]. - Three Ring Group is focusing on high-capacity MLCC (Multi-Layer Ceramic Capacitor) products, which are expected to see increased demand due to AI applications [33].

在人工智能浪潮的推动下，美国四大科技巨头正开启一场本世纪以来规模空前的资本竞赛。最新预测显示，Alphabet、亚马逊、Meta Platforms和微软在二零 二六年的合计资本支出有望达到约六千五百亿美元，较前一年大幅增长约百分之六十。这笔令人瞠目的资金，将如洪流般涌入新建数据中心、AI芯片、网 络设备及备用发电机等一长串硬件设施之中。 紧随其后，Alphabet抛出了高达一千八百五十亿美元的年度资本支出预测，让投资者感到不安。亚马逊的预估则更为惊人，其二零二六年资本支出计划可能 触及两千亿美元大关，消息公布后其市值应声下挫。这一系列数字不仅反映了企业对未来的巨额押注，也凸显出行业ai基础设施竞赛的白热化。 这场由少数 科技巨头主导的投资狂潮，正对更广泛的经济层面产生涟漪效应。规模庞大、耗电极高的数据中心在全美各地加速建设，已在局部地区导致能源供应紧张， 并引发了对电价上升的普遍担忧。同时，由于这些科技企业在整体经济活动中的占比日益增大，其庞大的资本开支可能会扭曲宏观经济数据的解读，成为影 响经济决策的新变量。 据凯德北京投资基金管理有限公司分析师分析，全球数据中心建设浪潮正在这股力量的推动下再次提速。从芯 ...

Global Asset Performance - Central banks' monetary policies are diverging, with Australia raising interest rates for the first time in two years, while the European Central Bank and the Bank of England kept rates unchanged [4][5] - Amazon is expected to increase capital expenditures by over 50% this year to build AI infrastructure, impacting its stock price negatively [4] - The U.S. Federal Reserve's stance is seen as favorable for economic stability, with a projected growth of approximately 2.2% in 2026 [4][5] Commodity Market - COMEX gold rose by 5.13%, while COMEX silver fell by 1.28% due to increased margin requirements and selling pressure from leveraged positions [9][10] - The core logic for gold's bull market has shifted from short-term interest rate speculation to hedging against long-term dollar credit risks and global monetary system restructuring [10] - Industrial metals are expected to benefit from global green transitions, indicating a positive long-term demand structure [10] Bond Market - U.S. Treasury yields showed a significant bull steepening, with the 2-year yield declining sharply due to weak labor market data, while long-term yields fell less due to inflation concerns [20][24] - The Chinese bond market is experiencing strong fluctuations, with the yield curve showing complex changes, particularly in the 10-year and 30-year bonds [24][25] - Long-term expectations suggest a potential decline in Chinese bond yields, with the 10-year yield possibly falling to the 1.6%-1.8% range by the end of 2026 [25] Currency Market - The U.S. dollar index increased by 0.51%, driven by a significant sell-off in global tech stocks and traditional safe-haven trading [27] - The euro against the dollar fell by 0.30%, influenced by the ECB's decision to maintain interest rates and easing inflation pressures [34] - The British pound declined by 0.95%, affected by internal policy disagreements and expectations of potential rate cuts [39] Equity Market - The market is shifting from tech growth stocks to value stocks, with traditional sectors like finance and energy leading gains, while tech-heavy indices like NASDAQ faced declines [43][48] - Notable performances include the Indian SENSEX30 rising by 3.54% and the Dow Jones Industrial Average increasing by 2.50% [43] - The outlook suggests that if higher interest rates become the norm, growth stocks may face ongoing valuation pressure, while stable value stocks could outperform [48]

2026.02. 08 本文字数：2470，阅读时长大约4分钟 在理论定义中，AGI被视为AI的终极状态，意味着系统能在会计、法律等多个白领专业领域达到并取 代人类的智力水平。 现代AI"教父"之一本吉奥（Yoshua Bengio）警示称，AGI的研发进程可能会陷入停滞，而这种停滞 对投资者而言无异于灾难。他称，行业很可能在不久的将来"碰壁"，面对目前无法预见且难以快速解 决的技术瓶颈，这可能诱发一场真正的金融崩盘。毕竟，当前涌向AI领域的数万亿资金，大多建立 在技术能以目前速度规律进步的乐观预期之上。 罗伯特·李凭借其在帝国理工学院深造电子工程的学术背景，也提供了基于技术视角的结论。他表 示："从本质上看，AI运行的底层逻辑近年来并未发生颠覆性变革，真正的改变在于算力与存储能力 的爆发式增长，以及模型从处理单一数字数据向多模态（涵盖文本、视频和音频）的进化。尽管如 此，这些模型的核心仍是模式识别，实质上是极其复杂的统计模型。" 罗伯特·李形象地解释道，当用户利用AI模型搜索量子计算时，模型只是通过训练库或互联网搜集海 量资料，并利用模式识别提取共性并予以总结。这种功能虽然高效，却并非真正的智能。 作者 | ...

Investment Outlook - Investment in 2026 is expected to have the highest relative elasticity, with a potential growth rebound from a low base of -3.8% in 2025 to around 3%, indicating an elasticity of 6-7 percentage points[9] - Guangdong province plans to invest 1.05 trillion yuan in key projects for 2026, up from 1 trillion yuan in both 2025 and 2024, signaling a commitment to effective investment[10] Economic Indicators - The actual GDP growth rates for January and February are estimated at 4.91% and 4.59% respectively, with a cumulative growth rate of 4.75% for the first two months[4] - The nominal GDP growth rate for the same period is projected at 4.39%[4] Market Trends - Global asset narratives are converging, with a shift towards "non-growth" assets and a return to "old economy" sectors, as evidenced by a 2.5% increase in the Dow Jones Industrial Average[13] - The S&P 500 fear and greed index has dropped to an extreme fear level of -210, indicating heightened market caution[14] Commodity Performance - Gold and silver have experienced high volatility, with gold prices averaging $1,948 per ounce, down 0.68% for the week, while silver prices fell 27.38%[15] - Domestic gold ETFs saw a net outflow of 98.22 billion yuan, reflecting a shift in investor sentiment[34] Currency and Bond Market - The 10-year U.S. Treasury yield has decreased to 4.22%, with market expectations for a 25 basis point rate cut by June rising to 49.2%[18] - The U.S. dollar index fluctuated, closing at 97.61, while the Japanese yen depreciated by 1.59% against the dollar[18] Sector Performance - Consumer sectors led the A-share market, with significant gains in food and beverage, while technology and resource sectors faced pressure[19] - The overall A-share index saw a decline of 1.49%, with nearly 60% of sectors recording losses, particularly in metals and electronics[22]

Core Insights - Amazon has signed a Power Purchase Agreement (PPA) with RWE to procure 110MW of electricity from the Nordseecluster B offshore wind farm in the North Sea, Germany [1][3] - The agreement supports Amazon's goal of achieving zero carbon energy and involves AWS providing cloud services, AI, and data analytics to assist RWE in its digital transformation [3] - The 110MW of electricity is expected to meet the annual power needs of over 139,000 German households [3] Project Details - The Nordseecluster B project is part of the second phase of the Nordseecluster offshore wind complex, co-owned by RWE and Norway's NBIM, located approximately 46 kilometers north of Borkum Island and 50 kilometers north of Juist Island, with a total capacity of 1600MW [3] - The first phase, Nordseecluster A, has a total capacity of 660MW and is currently under construction, with plans to be operational by early 2027 [3] - The Nordseecluster B project includes two wind farms (N-3.5 and N-3.6) with a total capacity of 900MW, expected to be commercially operational by 2029 [3] Previous Agreements - This PPA marks Amazon's fourth large offshore wind power purchase agreement in Germany, following agreements with Iberdrola for the Baltic Eagle and Windanker projects, and Ørsted for the Borkum Riffgrund 3 project [4]

2026年刚刚走过一个月，中国都还没有迎来农历新年，这一年的AI战事会是什么基调已经初现端倪。 随着硅谷巨头进入财报周，很明显的信号是新的一年AI投入会加大，光是谷歌母公司Alphabet、Meta、亚马逊、微软四家的相关投入就可能 高达6500亿美元，超过以色列一年的GDP总和。 更不要说甲骨文、特斯拉、xAI、OpenAI、Anthropic等玩家也在努力奋进，零零总总加起来，2026年这些公司围绕AI的投入可能要达到7500 亿美元了。 更不要提OpenAI还有"八年1.4万亿"的基建承诺，若按照平均值粗略计算进去，这个数字冲着万亿美元去了。 这实在是疯狂。 而在国内，大厂的支出虽然不像硅谷"七巨头"那样夸张，但同样可以看到保持或加大AI投入的决心。头部大厂一年的投入也已经来到了千亿 人民币的水平。 最明显的是，距离春节还有几天，腾讯、百度、阿里等大厂就已经迫不及待打起"春节AI红包大战"，承诺的规模已经超过了45亿元。 2026年，注定是AI战事大开大合的一年。 硅谷狂投9250亿美元 硅谷巨头已经"疯"了。 在硅谷"七巨头"中，谷歌母公司Alphabet、微软、Meta、亚马逊四家2026年计划给A ...

【文/观察者网 王恺雯】美国人工智能（AI）竞赛不断升温，五家科技巨头2026年资本支出飙升至近7000亿美 元，引发不少专家和投资人担忧。 《华盛顿邮报》2月7日刊文称，7000亿美元的人工智能投资狂潮堪称史无前例，而科技行业在该领域无止境的支 出，正在转移社会对其他经济领域的注意力，导致其他行业资源短缺。 "电工越来越难找，一些建筑项目被搁置。未来几年，智能手机的价格预计会越来越贵，其他有前景的创新也将缺 乏投资资金。"报道写道。 《华盛顿邮报》称，包括亚马逊、谷歌、微软、Meta和甲骨文在内的五家美国人工智能巨头今年总计将在大型项 目上投入约7000亿美元，用以建设配备强大计算机芯片的数据中心，增强人工智能的计算能力。这一支出规模几 乎比去年增加近一倍，相当于美国最近一年国防预算的四分之三。 美国五家科技巨头2026年预计资本支出 《华盛顿邮报》截图 科技公司表示，投资或举债开发AI，已经让它们从渴望使用这一技术的企业和消费者那里获得了更高的收入。但 批评人士担心，开发AI的前期成本巨大，除非AI能从根本上重塑生活、工作和经济，并为科技公司带来巨额新利 润，这些投资才可能获得回报。 根据摩根大通去年秋天 ...