European countries are taking their broadest swipe yet at social media, with a growing number weighing bans of the services for minors and setting the stage for a new showdown with some of the biggest US companies.The policy was first implemented in Australia, encompassing Meta Platforms Inc.’s Instagram and Facebook, Snap Inc., Elon Musk’s X, TikTok and Google’s YouTube. Now it’s catching on in Europe, threatening to cut off access to millions of young users from services regulators call harmful and addict ...

报告显示，摩根士丹利采用修正后的折旧模型，针对在建工程余额上升带来的偏差进行调整，估算微 软、甲骨文、Meta以及Alphabet四家公司未来四年累计折旧费用或将超过6800亿美元。该行同时指出， 传统预测方法因未充分考虑资本支出与资产投用之间的时滞，可能低估未来资产折旧幅度。 曾成功预测2008年金融危机的伯里，在去年年末也发出类似警告。他指出，科技巨头通过延长资产有效 使用寿命压低折旧费用，人为抬高收益水平，预计2026年至2028年期间，大型科技公司将因此虚增1760 亿美元利润。他特别提及，到2028年甲骨文利润或被夸大26.9%，Meta利润或被夸大20.8%。伯里称科 技巨头在会计处理上使用"把戏"，将原本仅2至3年产品周期的英伟达芯片和服务器等计算设备的折旧周 期延长至6年。 大型科技公司的资本支出持续走高，或将推动未来数年折旧费用大幅攀升。摩根士丹利表示，这一趋势 尚未完全体现在市场普遍预期中，同时也引发知名做空投资人迈克尔·伯里的关注。 美银分析师Justin Post此前发布报告提到，华尔街对折旧费用增长速度反应较为迟钝。随着谷歌、Meta 和亚马逊2024年至2025年资本支出大幅增长， ...

截至2026年2月3日，天弘中证全指通信设备指数发起A(020899)自成立以来，最长连涨月数为6个月，最长连涨涨幅123.90%，涨跌月数比为12/9，成立至今 历史年度均跑赢基准收益。 截至2026年2月3日，天弘中证全指通信设备指数发起C(020900)自成立以来，最长连涨月数为6个月，最长连涨涨幅123.67%，涨跌月数比为12/9，成立至今 历史年度均跑赢基准收益。 消息面上，海外云厂商资本开支持续高增，Meta宣布2026年资本开支将提升至1150亿~1350亿美元，同比增长59%~87%，显著超出市场预期；微软Azure及 其他云服务收入同比增长约39%，云业务积压合同订单同比翻倍，谷歌、亚马逊亦同步加大AI基础设施投入，四大云厂商2025年三季度资本支出合计达954 亿美元，同比大幅增长53%–133%。 兴业证券指出，Meta、微软资本开支延续高增态势，AI商业闭环落地节奏加快。微软Azure及其他云服务收入同比增长约39%，云业务积压合同订单同比翻 倍；Meta宣布2026年资本开支将大幅提升至约1150亿~1350亿美元，同比增长59%~87%，显著高于此前预期。光模块龙头业绩如期兑现， ...

Core Viewpoint - Meta Platforms is currently viewed as a significant investment opportunity due to its low valuation and potential for revenue growth driven by advancements in artificial intelligence [2][9][10]. Company Overview - Meta Platforms, known for its social media dominance with platforms like Facebook and Instagram, has approximately 3.5 billion daily users across its apps [4][5]. - The company has a market capitalization of $1.8 trillion and is trading at a forward earnings multiple of 23x, which is considered very reasonable [8][9]. Revenue Growth Potential - Meta is heavily investing in AI, developing its own large language model to enhance its social media applications and improve advertising experiences [6]. - The CEO, Mark Zuckerberg, indicated that 2026 could be pivotal for Meta as new AI models and products are expected to be launched, potentially leading to significant revenue opportunities [9]. Market Position - The stock is currently trading at $691.70, with a day's range of $686.41 to $717.00, and a 52-week range of $479.80 to $796.25 [7][8]. - The company has a gross margin of 82% and a dividend yield of 0.30%, indicating strong profitability [8].

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].