责任编辑：山上 摩根士丹利在最新报告中表示，超大型企业正从相对轻资产的商业模式向依赖基础设施的运营模式转 变，因为它们正在扩大数据中心容量，以满足不断增长的AI需求。该行全球研究部主管Katy Huberty表 示，这一转变具有重要的会计方面的影响。报告称，大摩采用了一种修正后的折旧模型，该模型能够对 因在建工程余额上升而产生的偏差进行调整。据此估算，微软、甲骨文、Meta以及谷歌这四家公司在 未来四年内可能总共需要支付超过6800亿美元的折旧费用。大摩表示，传统的预测方法可能会低估未来 的资产贬值幅度，因为这些方法未能充分考虑到资本支出与资产投入使用之间的时滞因素。 美股频道更多独家策划、专家专栏，免费查阅>> ...

Investment Rating - The investment rating for the AI computing industry is maintained as "Buy" for specific companies such as沃尔核材, 天孚通信, and 长飞光纤, while 立讯精密 is rated as "Add" [7]. Core Insights - Meta has signed a long-term supply agreement with Corning for fiber optic cables worth up to $6 billion to accelerate AI data center construction, highlighting the strong demand for fiber optics in computing infrastructure [3]. - Nvidia is hosting a webinar focused on co-packaged silicon photonics (CPO) switches, emphasizing their strategic value in scaling AI computing capabilities [4]. - The report suggests focusing on companies like 天孚通信, 立讯精密, 长飞光纤, and 沃尔核材 for potential investment opportunities [5]. Weekly Market Analysis - From January 26 to January 30, the communication industry saw a significant increase of 5.83%, ranking second among all sectors, while the electronics sector experienced a decline of 2.51% [12][19]. - The AI computing-related sub-sectors mostly showed an upward trend, with the communication network equipment and devices sector leading with an increase of 8.56% [19]. Company Announcements - Lotus Holdings announced progress in its transition to computing power business, including various contracts for GPU servers and cloud services [49]. - Tongfu Microelectronics reported a reduction in shareholding by its major shareholder, which will not affect the company's governance or operations [51]. - Tianfu Communication completed a share reduction plan by a board member, which was executed in accordance with regulations and did not impact company control [52].

平安观点： 2）评级方面，基金主要减配了 BBB 级债券，增配了 AA 级债券，持仓信用 质量略有提高。（图表 9）在行业分布上，基金在多数行业维持 BBB 级为主 的配置，但在通信、周期消费和公用事业板块进行了信用下沉。（图表 10） 3）从个券角度，基金在去年四季度增持最多的公司包括 Meta、亚马逊等互 联网科技公司，或受到新债供给影响。从绝对值角度，基金较基准指数超配 较多的公司集中在银行（如摩根大通、摩根士丹利、瑞银）、汽车（如福 特、通用、现代）、烟草板块；此外基金对 TMT（如甲骨文、Meta、博通） 和健康保险等板块也维持超配状态；这些多是估值有吸引力的板块（图表 13）。 债券 2026 年 2 月 4 日 海外机构行为 25Q4 海外债基持仓: 国债仓位增加，信用债增配通讯板块 证券分析师 风险提示：1）样本偏差：基于样本的分析无法代表所有债基的行为；2）统 计误差：汇总统计可能受到个别样本的影响；3）宏观环境剧烈变化： 宏观 环境变化可能导致基金配置偏好变化。 债 券 报 告 债 券 点 评 证 券 研 究 报 告 刘璐 投资咨询资格编号 S1060519060001 LIULU979@ ...

Jim Cramer, the host of Mad Money, on Monday said that after a year of poor performance, the Magnificent Seven no longer live up to their reputation as the market’s top-performing stocks. A lot of people don’t know this, but I used to write obituaries for a living. It’s a sad job as you can imagine. You want to be sure you get it right, and if you can, you need a picture. Always the picture. Well, here’s the picture. It’s of the Magnificent Seven, and I’m pronouncing it dead tonight. Why? Because the groupi ...

Summary of the Conference Call on AI Annual Report Analysis Industry Overview - The conference focused on the analysis and outlook of AI annual reports, particularly in the TMT (Technology, Media, and Telecommunications) sector, with a specific emphasis on domestic and international AI companies [1][2][4]. Key Points and Arguments General Market Sentiment - The period from October 31 to March is characterized as a performance vacuum, where the focus is on thematic investments rather than immediate earnings results [2][3]. - The spring market is expected to see a resurgence, with significant activity anticipated around March [3][4]. North American Companies - North American companies, particularly those involved in AI and cloud computing, have reported earnings that exceeded expectations, indicating strong capital expenditure in AI [4][6]. - Companies like Microsoft and Meta have shown robust spending on AI infrastructure, reflecting a positive outlook for the sector [4][6]. - Despite some domestic companies underperforming, their stock prices have rebounded, suggesting that market sentiment is more focused on thematic trends rather than immediate earnings [5][6]. Domestic AI Companies - Domestic AI companies are experiencing a supply-demand imbalance, with strong demand for AI-related products and services, despite some companies reporting earnings below expectations [6][7]. - The industry is characterized by a shortage of materials and components, which is driving prices up and creating a favorable environment for growth [6][7][10]. Future Growth Projections - There is a consensus that the growth trajectory for AI companies will continue to be strong, with expectations for significant growth in 2026 and beyond [8][9]. - Many companies are currently undervalued, trading at price-to-earnings (P/E) ratios between 15x to 20x, which presents a potential investment opportunity [8][9]. Specific Company Insights - Companies like Wan, Tianfu Communication, and others are highlighted for their potential despite recent earnings misses, as the overall industry outlook remains positive [4][6][7]. - The demand for GPUs and AI chips is expected to remain high, with domestic companies like Cambrian facing challenges but still showing potential for recovery [9][10]. Application and Innovation - The conference emphasized the importance of AI applications, particularly in gaming and media, with companies like Tencent and ByteDance leading the charge [14][15]. - The emergence of AI-driven applications is seen as a significant growth area, with expectations for increased investment and innovation in this space [14][15]. Regulatory and Market Concerns - There are concerns regarding potential regulatory impacts on the gaming industry, but these are largely viewed as unfounded and not likely to affect the overall market significantly [15][16]. - The market is currently experiencing volatility, but analysts suggest that this presents buying opportunities for fundamentally strong companies [21][22]. Additional Important Insights - The conference highlighted the importance of monitoring capital expenditure trends among major tech companies, as this will influence the demand for AI infrastructure and services [36][37]. - The potential for new technologies, such as diamond-based cooling materials for semiconductors, was discussed as a future growth area [24][25]. - Analysts recommend focusing on companies with strong fundamentals and growth potential, particularly in the AI and semiconductor sectors, as the market continues to evolve [22][23][39].

Core Viewpoint - The article discusses the competitive landscape in the AI industry, focusing on Meta's Mark Zuckerberg and his strategic shift towards an aggressive "scorched earth" approach to disrupt competitors like OpenAI and Google, particularly in the context of AI development and monetization. Group 1: Background and Context - Zuckerberg has historically felt constrained by Apple's dominance, as Meta's applications rely on Apple's iOS, making him vulnerable to changes in Apple's policies [10][11]. - The introduction of Apple's "App Tracking Transparency" in 2021 significantly impacted Meta's advertising revenue, leading to a loss of $10 billion in a single year [12][13]. - This experience instilled a desire in Zuckerberg to establish his own ecosystem, free from reliance on external platforms [15]. Group 2: Strategic Shift - In 2025, Zuckerberg identified AI as a potential disruptor to Apple's control, prompting him to adopt a "scorched earth" strategy against competitors [17][19]. - Meta's release of the Llama 4 model, with 400 billion parameters and an open-source, free commercial use model, aimed to undermine the business models of OpenAI and Google [30][31]. - This strategy effectively commoditized AI technology, leading to a collapse in the SaaS industry and forcing competitors to reassess their value propositions [35][36]. Group 3: Implementation and Impact - The launch of Llama 4 allowed developers to access advanced AI capabilities without the associated costs, significantly lowering the barriers to entry for new applications [32][34]. - Meta's integration of AI into platforms like Instagram and Facebook through features like "AI Studio" increased user engagement and transformed social interactions, ultimately driving advertising revenue [41][47]. - Zuckerberg's approach not only disrupted the software industry but also aimed to establish Meta as a dominant player in the AI landscape, positioning it for future growth [37][40].

作为Meta官方认可代理商,YinoLink易诺在本次代理商峰会中一举斩获Meta 2025 ALM规模化客户激活进 步金奖、Meta 2025 RCPM自动化测试项目伙伴金奖两项金奖及Meta 2025客户激活合作伙伴卓越奖、 Meta 2025 电商行业黑客松卓越奖、Meta 2025 广告政策表现卓越奖、Meta 2025 游戏及应用行业高潜客 户增长卓越奖四项卓越奖。 (所获金奖现场照片) 2026年1月29日,2026Meta代理商峰会以"武林蜕变 · 共创新局"为主题在香港隆重举办,Meta大中华区业务 团队和代理商团队齐聚一堂,共探时代变革中、AI驱动下的全球化增长新路径。 技术赋能,让增长更高效、更稳定、更可控 面对瞬息万变的海外市场与物流、汇率等外部挑战,YinoLink易诺坚信,真正的破局之道在于系统性的技 术赋能。我们不仅持续追踪市场与政策动态,更将深度分析转化为可执行的技术策略与产品功能,内化于 服务体系之中。 这些奖项,是对YinoLink易诺多年来在出海领域持续努力的认可,也说明了YinoLink易诺在和Meta深度合 作后一直没有停下为中小企业寻找新的出海路径的脚步。在这七年间, ...

Investment Rating - The report indicates a positive investment outlook for the technology sector, particularly in AI and cloud computing, with significant capital expenditures from major players like Meta, Microsoft, and Alibaba [6][31]. Core Insights - Major tech companies are increasing capital expenditures to enhance AI capabilities, with Meta's projected spending reaching between $115 billion and $135 billion for the year [5][31]. - AI demand remains strong, with companies like OpenAI and Anthropic accelerating their growth and preparing for IPOs, indicating a robust market for AI applications [4][11]. - The report highlights a shift in pricing strategies among cloud service providers, with Google Cloud and Amazon AWS raising prices for data transmission and machine learning services, marking a departure from the long-standing trend of price reductions [20][21]. Industry Frontiers - OpenAI has raised over $100 billion in funding, with a valuation of $830 billion, and is preparing for an IPO in Q4 2026 [4][11]. - Anthropic has revised its revenue projections, expecting a threefold increase in sales this year, potentially reaching $18 billion, and over $55 billion next year [11][12]. - ByteDance is set to release a new AI model in mid-February, aiming to capture a larger share of the AI market in China [12][27]. Capital Trends - Google Cloud announced a price increase for global data transmission services effective May 2026, with Amazon AWS also raising prices for its machine learning services by approximately 15% [5][20]. - Meta has secured a $6 billion long-term supply agreement with Corning for fiber optic cables, emphasizing the importance of infrastructure in AI development [21]. - Alibaba is considering increasing its investment in AI infrastructure and cloud computing from 380 billion to 480 billion yuan over the next three years [25][26]. Weekly Perspectives - The report notes that AI investments are yielding positive results for companies like Meta, with improved user engagement and advertising performance [31][32]. - The demand for AI infrastructure is expected to surge, driven by the increasing need for advanced computing capabilities [32]. - The report anticipates a significant growth in the number of ASIC chips required for AI applications, projecting a boom in demand from 2026 to 2027 [32]. Industry Chain Data Updates - In December, China's smartphone market saw a significant decline in sales, with Huawei maintaining the largest market share [34]. - The PC market experienced a mixed performance, with desktop sales increasing while laptop sales declined [35].

斯坦福与耶鲁的这项研究不应被视作AI产业创新的阻碍，应当成为AI产业从无序生长转向版权友 好、负责任、透明且可持续发展之路的警示灯与行动路线图。 随着生成式人工智能（以下简称"GenAI"）迈入生产力爆发期，大语言模型（以下简称"LLM"）究竟是在"逻辑 泛化"（Logical Generalization）还是在执行高度隐蔽的"记忆复现（Memorized Reproduction）"，即AI业界形象 称之为"反刍"（Regurgitation、Wiederkäuen）的现象，已从AI本身的技术争鸣演变为决定AI产业持续创新的法 律红线。2026年初，斯坦福与耶鲁大学披露的实证研究彻底撕开了AI"逻辑泛化"乃至"学习隐喻"的伪装，证实 了个别主流模型对版权书籍存在高达95%以上的复现能力。 本文以此为切入点，深度分析了LLM从预训练阶段便埋下的模型权重参数化复制技术成因，并剖析了法律界针 对"记忆是否构成复制"这一命题在英、德两国司法实践中引发的剧烈碰撞，从而有可能使建立在脆弱版权基础 上的万亿级AI债务链条即将临系统性崩塌的风险。 为此，作者从AI技术上梳理并构建了一套涵盖"差分隐私算法干预"与"高惊奇度 ...

Market Overview - The three major U.S. stock indices closed lower, with the Dow Jones down 0.34%, the Nasdaq down 1.43%, and the S&P 500 down 0.83% [1] - Popular technology stocks experienced declines, with Broadcom falling over 3%, and Microsoft, Nvidia, and Meta each dropping over 2% [1] Sector Performance - The rare earth, non-ferrous metals, and precious metals sectors saw significant gains, with gold resources rising over 20%, Southern Copper up over 11%, Americas Silver up over 8%, and Pan American Silver up over 5% [1] - Conversely, application software, cryptocurrency, and weight loss drug stocks faced notable declines, with Novo Nordisk down over 14%, Coinbase and Circle each down over 4%, and Eli Lilly and Pfizer each down over 3% [1] Notable Company Movements - Walmart's stock increased by 2.94%, marking its market capitalization surpassing the $1 trillion milestone for the first time [1] - The Nasdaq Golden Dragon China Index fell by 0.94%, with significant declines in popular Chinese stocks such as Daqo New Energy down 5.6%, Bilibili down 4%, and Kingsoft Cloud down 3.5% [1] - Alibaba dropped 2.9%, while NIO rose 0.8%, Pony.ai increased by 2%, Huazhu up 2.2%, New Oriental up 2.3%, Li Auto up 2.7%, Canadian Solar up 4.1%, and Xpeng up 4.3% [1]