Core Viewpoint - BlackRock, a major asset management firm, reported a total market value of $5.92 trillion for its Q4 2025 holdings, reflecting a 3.67% increase from the previous quarter's $5.71 trillion [1][2]. Holdings Summary - The firm added 247 new stocks, increased holdings in 3,309 stocks, reduced holdings in 1,546 stocks, and completely sold out of 165 stocks during the quarter [1][2]. - The top ten holdings accounted for 30.41% of the total market value [2]. Top Holdings - Nvidia (NVDA.US) is the largest holding with approximately 1.94 billion shares valued at about $362.52 billion, representing 6.13% of the portfolio, with a 0.75% increase in shares held [3][4]. - Apple (AAPL.US) follows as the second-largest holding with around 1.16 billion shares valued at approximately $313.91 billion, making up 5.31% of the portfolio, with a 0.73% increase in shares held [3][4]. - Microsoft (MSFT.US) ranks third with about 601.90 million shares valued at approximately $291.09 billion, accounting for 4.92% of the portfolio, with a 1.70% increase in shares held [3][4]. - Amazon (AMZN.US) is fourth with approximately 734.38 million shares valued at about $169.51 billion, representing 2.87% of the portfolio, with a 1.67% increase in shares held [3][4]. - Alphabet Class A (GOOGL.US) is fifth with around 441.99 million shares valued at approximately $138.34 billion, making up 2.34% of the portfolio, with a 3.16% decrease in shares held [3][4]. Investment Strategy - BlackRock demonstrated a keen interest in emerging opportunities by establishing positions in Solstice Advanced Materials (SOLS.US) valued at approximately $838 million and Qnity Electronics (Q.US) valued at around $1.3 billion [4][5]. - The investment actions indicate a consolidation in existing tech sectors while exploring diversification into more cyclical industries such as industrials and materials [5].

Core Insights - The article highlights the performance and outlook of several companies, including Alphabet Inc., Caterpillar Inc., T-Mobile US, Inc., and Onfolio Holdings, Inc., based on recent research reports from Zacks Equity Research [2][4][10][13]. Alphabet Inc. (GOOGL) - Alphabet's shares have outperformed the Zacks Internet - Services industry over the past six months, with a growth of 53.1% compared to the industry's 45.7% [4]. - The company is experiencing accelerated growth in AI infrastructure, Google Cloud, and Search, with Google Cloud reporting a backlog of $240 billion, up 55% sequentially [4][5]. - Alphabet has over 325 million paid subscriptions across its consumer services, with significant adoption of Google One and YouTube Premium [5]. - The launch of personal intelligence in AI Mode and the Gemini app is expected to enhance Alphabet's prospects, although competition in cloud computing remains a concern [6]. Caterpillar Inc. (CAT) - Caterpillar's shares have outperformed the Zacks Manufacturing - Construction and Mining industry, increasing by 88.8% over the past six months [7]. - The company returned to earnings growth in Q4 2025, with a modest increase of 0.4% after five quarters of declines, despite ongoing tariff headwinds projected to impact $2.6 billion in 2026 [8]. - A record backlog of $51.2 billion is expected to support future sales, with growth driven by rising construction activity and steady commodity demand [9]. T-Mobile US, Inc. (TMUS) - T-Mobile's shares have underperformed the Zacks Wireless National industry, declining by 16.2% over the past six months [10]. - The company reported strong Q4 2025 results, exceeding Zacks Consensus Estimates, driven by significant growth in service revenues and postpaid net customer additions [11]. - In Q4, T-Mobile added 2.4 million postpaid net customers, with a bullish outlook for fiscal 2026 supported by efficient capital management [12]. Onfolio Holdings, Inc. (ONFO) - Onfolio's shares have underperformed the Zacks Internet - Commerce industry, with a decline of 52.7% over the past six months [13]. - The company is facing persistent net losses and rising SG&A expenses, with challenges related to heavy amortization from acquisitions and increasing debt [13][14]. - Despite these challenges, Onfolio is experiencing solid revenue and gross margin expansion, driven by a diversified portfolio and growth in recurring service contracts [15].

Core Insights - The article emphasizes the accelerated global construction of AI-driven data centers, highlighting significant investments from major tech companies like Meta and Mistral AI, which reflect the strategic importance of AI computing power deployment [2][3] - Data centers are not only foundational for AI applications but also serve as critical support for profit growth and technological competition across the industry [4] Market Size and Policy Environment by Region - North America: Projected market size of approximately $95-100 billion by 2026 and $300-350 billion by 2030, with a CAGR of ~28%. The region benefits from supportive AI innovation policies and strict data privacy regulations [6] - Europe: Expected market size of around $40-45 billion by 2026 and $120-150 billion by 2030, with a CAGR of ~25%. The region faces strict GDPR compliance and has a strong demand for localized data centers [6] - China: Anticipated market size of about $50-55 billion by 2026 and $160-200 billion by 2030, with a CAGR of ~27%. The government encourages AI and computing infrastructure development [6] - South Korea: Estimated market size of $5-6 billion by 2026 and $20-25 billion by 2030, with a CAGR of ~30%. The government promotes AI strategies and local semiconductor advantages [6] - Japan: Projected market size of $6-7 billion by 2026 and $18-22 billion by 2030, with a CAGR of ~23%. The region's stable demand comes from high-end manufacturing and finance sectors [6] - India: Expected market size of $3-4 billion by 2026 and $12-15 billion by 2030, with a CAGR of ~28-30%. The region shows rapid growth in cloud computing and AI applications [6] Key Industry Chain and Leading Companies - AI Chips/Accelerators: Key players include NVIDIA, AMD, Intel, and Google, focusing on high-performance AI training and inference [8] - Data Center Infrastructure: Major operators like Equinix and Digital Realty, along with self-built centers from Meta, AWS, and Microsoft, dominate the market [8] - Cloud Services/AI Platforms: AWS, Microsoft Azure, and Google Cloud are leading providers of AI services and solutions [8] - Storage/Memory: Companies like Samsung and SK Hynix are crucial for high-speed storage demands [9] - Network Equipment: Cisco and Arista Networks are essential for data center connectivity [9] - Energy and Cooling: Schneider Electric and Vertiv lead in providing reliable power and cooling solutions [9] - Data Center Software: VMware and HashiCorp/Red Hat offer critical management tools for data centers [9] Investment Opportunities - Upstream Chips: Investment in GPU/TPU/accelerators offers high margins and long-term contracts [10] - Data Center Operations: Focus on self-built or managed centers in high-demand regions like North America, China, and South Korea for stable rental income [10] - Cloud Service Platforms: High-growth subscription revenue opportunities in AI SaaS/IaaS [10] - Storage/Memory: Long-term supply agreements with major operators for HBM/SSD [10] - Network Equipment: Targeting AI-optimized and low-latency products for mid to long-term replacement [10] - Energy/Cooling: Building green data centers to leverage policy benefits [10] - Software/Operations: Providing intelligent operation and monitoring services for high profit margins [10] Conclusion and Strategic Recommendations - AI data centers are positioned as the core hub of the global tech industry over the next decade, with understanding technology trends and market opportunities being crucial for competitive advantage and long-term returns [12][14] - Regional market differences indicate that North America and China have large, stable markets, while South Korea and Southeast Asia show rapid growth [14] - Investment strategies should focus on leveraging these regional insights for optimal positioning in the evolving landscape [14]

2026.02. 13 北京时间2月13日，谷歌发布了Gemini3DeepThink的重大升级，作为专门用于复杂任务的推理模式， DeepThink旨在解决科学、工程领域的诸多挑战。 值得一提的是，去年9月加入谷歌DeepMind的清华物理系知名研究者姚顺宇（ShunyuYao）也是这次 DeepThink新模型的核心参与者，他在今天发帖号召大家体验新模型。 谷歌CEO桑达尔·皮查伊（SundarPichai）发帖表示，"我们与科学家和研究人员紧密合作，对 DeepThink进行了改进，以应对棘手的现实挑战。"这些挑战往往缺乏明确的指导原则或唯一的正确答 案，数据也常常杂乱无章或不完整。DeepThink将科学知识与日常工程实践相结合，推动实际应用。 本文字数：1788，阅读时长大约3分钟 作者 | 第一财经 刘晓洁 具体来说，在"人类最后的考试"测试中DeepThink取得了48.4%的成绩（不使用工具的情况下），刷 新该测试的最佳纪录。而ClaudeOpus4.6的成绩为40%，OpenAI的GPT-5.2成绩为34.5%。 在ARC-AGI-2测试中，DeepThink取得了前所未有的84.6%的成绩 ...

以下文章来源于晚点AI ，作者晚点团队 晚点AI . 关注人工智能的一切，一切都关于人工智能。 Vibe Coding 时代的脆弱倒影。 他给谷歌 AI 编程软件 Antigravity 的指令台发送了一个看似简单的维护请求："帮我清理一下项目里 该文件夹里冗余的 node_modules 文件夹。" 文 丨 Antigravity（由 Google DeepMind 开发的实验性 Agentic AI） 编辑 丨 屈江峰 宋玮 * 该事故目前已得到谷歌官方技术团队的确认， 官方承认属于 "Systemic path-parsing failure ""Catastrophic impact""Have seen before"，正在紧急硬编码修复 上线中（自 2 月 6 日回复起，截止目前，暂未有修复完成的正式通知） 以下所有事故说明、对话取证，均来自于 Google Antigravity 下的 Gemini，完全基于真实事件的总结、回顾 和陈述。 前言：Vibe Coding 时代的脆弱倒影 2026 年 1 月 29 日下午 16 时 29 分，屈江峰正坐在他的工作台前。 作为 AI 时代 "Vibe ...

Investment Rating - The report maintains an "Outperform" rating for the industry, indicating a positive outlook compared to the broader market [3]. Core Insights - The AI application landscape is rapidly evolving, with significant advancements expected in 2026, which will impact traditional sectors such as software, film, and media [6]. - Domestic AI models are increasingly competitive with international counterparts, particularly in terms of performance and cost, suggesting a potential shift in the global AI model competition [6]. - The demand for AI inference is rising sharply, leading to increased pricing actions from model and cloud service providers, which benefits companies within the industry [6]. Industry Data Summary 1. Industry Data - The software industry in 2025 is projected to generate revenues of 15.48 trillion yuan, reflecting a year-on-year growth of 13.2% [12]. - The IC design sector is expected to grow by 18.9% in 2025, while cloud computing and big data services are anticipated to grow by 13.6% [19]. - The information technology service revenue is expected to increase by 14.7%, further solidifying its share of the overall software business revenue to 68.7% [27]. 2. AI Developments - Major AI models are being released, with significant competition expected in the market, particularly with the upcoming launches of models like DeepSeek-V4 and others in February 2026 [33]. - The pricing of domestic models is significantly lower than that of international models, enhancing their attractiveness for various applications [39]. - The user engagement for AI applications is increasing, with notable growth in active users for platforms like Gemini and ChatGPT [44]. 3. Domestic Market Dynamics - Domestic chip manufacturers are expected to benefit from restrictions on foreign competitors, with companies like Huawei and Dawning making significant advancements in AI computing capabilities [6]. - The report highlights the increasing capital expenditures from overseas tech firms, raising concerns about market dynamics [6]. - The MaaS (Model as a Service) market is projected to grow rapidly, with significant contributions from companies like ByteDance and Alibaba [56].

通信 周跟踪（20260202-20260208） 领先大市-A(维持) ——北美资本开支增长并未见顶，Scaleup 是光通信重要增量 2026 年 2 月 13 日 行业研究/行业周报 通信行业近一年市场表现 行业动向： 1）北美主要 CSP 陆续发布财报，AI 飞轮高速运转，2026 资本开支指引超 预期。近期，北美主要 CSP 完成了 2025 年度财报的公布，普遍向外界传达的信 号是 AI 已从成本中心转为收入引擎，继续扩大投资急迫且真实。 资料来源：常闻 相关报告： 【山证通信】——moltbot 爆火背后 1.1 云业务通过 AI 算力与工具实现高增。例如，AWS 云销售额同比增长 20% 达到 1287 亿美元，其 Bedrock 上托管的 20+个模型得到客户来自项目编程、推理 和代理工作流程的全面需求。谷歌云 2025 年末年化营收突破 700 亿美元成为增 长最快的核心业务，主要得益于企业 AI 基础设施、AI 解决方案及核心云服务的 强劲客户需求。微软 Azure 的年收入已超过 750 亿美元，同比增长 34%，主要来 自 OpenAI 等大客户的长期订单、Azure AI Foun ...

Investment Rating - The report maintains an "Outperform" investment rating for the communication industry [4][7]. Core Insights - In January 2026, the communication industry index increased by 5.47%, outperforming the Shanghai Composite Index (+3.76%), CSI 300 Index (+1.65%), Shenzhen Component Index (+5.03%), and ChiNext Index (+4.47%) [3][13]. - The capital expenditure of the four major North American cloud providers is expected to grow significantly, with a projected increase of over 60% in 2026 [6][24]. - The procurement results for special optical cables by China Mobile indicate that eight manufacturers, including Tongding Interconnection and Yangtze Optical Fibre and Cable, have been selected, highlighting the focus on key sectors such as industrial manufacturing and digital government [6][7]. Summary by Sections Industry Performance - The communication industry index showed a strong performance in January 2026, with a 5.47% increase, outperforming major indices [3][13]. - Sub-sectors within the communication industry saw varied performance, with cable, other communication equipment, and system equipment rising by 19.70%, 10.72%, and 7.85% respectively [16]. Telecommunications Sector - In 2025, the telecommunications business revenue reached CNY 1.75 trillion, a year-on-year increase of 0.7% [6][45]. - By December 2025, 5G mobile phone users accounted for 65.9% of total mobile phone users, with a monthly data usage (DOU) of 23.04GB per user, reflecting a 17.0% year-on-year increase [6][45]. Cloud Infrastructure Investment - The combined capital expenditure of the four major North American cloud providers in Q4 2025 was USD 126 billion, marking a 62.0% year-on-year increase [24][25]. - For 2026, the total capital expenditure guidance for these providers exceeds USD 660 billion, with an expected growth of 61.0% [24][25]. AI and Smartphone Market - The retail sales of communication equipment in China increased by 20.9% year-on-year in December 2025, driven by the demand for smartphones [44]. - The global smartphone shipment is projected to grow by 2% in 2025, reaching 1.25 billion units, with AI smartphones expected to penetrate 34% of the market by 2025 [6][44]. Investment Recommendations - The report suggests focusing on companies involved in optical devices, optical chips, optical modules, and AI smartphones, including Tianfu Communication, ZTE, and China Mobile [7][6].

Core Insights - The article highlights the impressive performance of Gemini 3 Deep Think, which has achieved significant milestones in various benchmark tests, showcasing its advanced reasoning capabilities and potential applications in scientific and engineering fields [3][15][19]. Group 1: Performance Metrics - Gemini 3 Deep Think scored an unprecedented 84.6% on the ARC-AGI-2 benchmark, surpassing previous models that scored between 60%-70% [3][19]. - In the Humanity's Last Exam (HLE), it achieved a new state-of-the-art (SOTA) score of 48.4% [3][15]. - The model also reached a remarkable Elo score of 3455 on Codeforces, ranking it as the 8th best globally, with only 7 individuals scoring higher [1][15]. Group 2: Cost Efficiency - The upgrade of Gemini 3 Deep Think has led to an 82% reduction in reasoning costs, decreasing from $77.16 to $13.62 per task [21][15]. Group 3: Applications and Innovations - Gemini 3 Deep Think has demonstrated capabilities in analyzing sketches, modeling complex shapes, and generating files for 3D printing, indicating its utility in engineering tasks [7][15]. - The model successfully identified a subtle logical flaw in a complex mathematical paper, which had been overlooked in prior peer reviews, showcasing its potential in academic research [9][15]. - It optimized a method for growing complex crystals, achieving a precision previously unattainable, which could lead to new semiconductor materials [10][15]. Group 4: Team and Development - The development team of Gemini 3 Deep Think includes notable figures such as Yi Tay and Shunyu Yao, both of whom have significant backgrounds in AI and physics [27][28].

Group 1 - The software sector is experiencing the most intense short-selling attack in over a decade, with Morgan Stanley reporting that the short-selling volume in the software and SaaS sectors reached one of the highest levels since 2010 [1][7] - Hedge funds have quickly resumed short-selling strategies after a brief period of covering, with new short positions in the software sector exceeding levels seen at the end of January [2][7] - Concerns about AI replacing human jobs are spreading across more sub-industries, significantly impacting market sentiment, as evidenced by a notable drop in the stock price of CH Robinson [4][8] Group 2 - Defensive sectors are outperforming cyclical stocks, with Goldman Sachs noting the worst two-day performance for cyclical stocks since the "Liberation Day," with a cumulative drop of over 350 basis points [6][8] - The 10-year U.S. Treasury yield has fallen to around a three-month low of 4.08%, indicating increased market risk aversion, while the VIX index closed above 20 [6][8] - The market is becoming increasingly sensitive to the potential disruptive impacts of AI, with major tech companies experiencing valuation declines [9] Group 3 - Goldman Sachs described the current trading environment as one of the most volatile seen, with many tech and growth stocks appearing oversold as the Russell Tech Index falls to its 200-day moving average [6][10] - There is a discussion on whether the valuation adjustments in the market have been excessive, with some companies not returning to pre-earnings release levels despite the rapid pricing in of perceived technological changes [10] - The large tech stocks, referred to as "Mag 7," have underperformed the market by approximately 7.5 percentage points over the past few months, indicating a significant pullback [11]