Market Analysis by covering: Alphabet Inc Class A. Read 's Market Analysis on Investing.com ...

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 ...

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].

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].

除了 DoorDash，Waymo 还在向独立道路救援公司 Honk 的用户支付报酬以关闭无人驾驶出租车的车 门。雇为 Waymo 车辆提供维护的 Honk 用户在洛杉矶关一次车门最高可获得 24 美元的报酬。 Waymo 的汽车在没有人类驾驶员的情况下行驶。但当离车乘客没关车门时，车辆在有人关上门之前将 无法移动。 Waymo 和 DoorDash 在给媒体的联合声明中表示，他们一直在为 DoorDash 的递送员寻找新的、灵活的 挣钱方式，并补充说未来的 Waymo 车型将具备自动关门功能。Waymo 未说明该功能何时上线。 Waymo 在简单任务上对人类的依赖，凸显了即使是最先进的自动驾驶技术，在某些基础操作上仍需要 昂贵的人工干预。在最近的一轮融资中，Waymo 的估值达到了 1260 亿美元。根据 Alphabet 的财务报 表，Waymo 是其"其他赌注"(Other Bets)板块的核心，该板块旨在"利用技术尝试解决影响包括交通和健 康技术在内的广泛行业的重大问题"。 在 Alphabet 上周提交的年度报告中，该公司表示"其他赌注"部门去年的营业亏损为 75 亿美元，其中包 括 Waymo 产 ...

智通财经APP获悉，前摩根大通全球研究首席策略师兼联席主管马尔科·科拉诺维奇周四表示，人工智 能交易正在上演戏剧性反转——若某家科技巨头收紧AI基础设施支出，转守利润与现金流，市场反而 有望迎来反弹。 今年科技股主导的抛售潮中，软件板块首当其冲。市场既在定价AI颠覆性冲击带来的不安，又日益担 忧超大规模厂商资本开支持续攀升，或已触及不可持续水平。与此同时，资金向价值股的显著轮动，正 成为2026年市场主线之一。 科拉诺维奇在社交平台X上发文称："讽刺之处在于，市场若要反弹，反而需要某家超大规模厂商或软 件公司站出来表态——将停止AI投资(不再采购价格虚高的内存)，重归现金流导向。" 微软(MSFT.US)、谷歌(GOOGL.US)、亚马逊(META.US)及Meta Platforms(META.US)均已公布今年AI投 资计划，合计规模高达6500亿美元。 ...

听雨 发自 凹非寺 量子位 | 公众号 QbitAI 面对Claude Opus 4.6和GPT Codex 5.3的猛烈攻势，谷歌反手就是一个 Gemini 3 Deep Think 的重大升级。 | | Who | # | = | | --- | --- | --- | --- | | 1 | _ Benq | IEE | 3792 | | 2 | 롤 ecnerwala | 214 | 3715 | | 3 | jiangly | 192 | 3664 | | 4 | VivaciousAubergine | 65 | 3646 | | 5 | Kevin114514 | 104 | 3604 | | б | tourist | 297 | 3592 | | 7 | strapple | ୧୧ | 3486 | | 8 | dXqwq | 83 | 3436 | | ਰੇ | · maroonrk | 208 | 3423 | | 10 | Otomachi_Una | 62 | 3413 | | 11 | မြ ksun48 | 313 | 3408 | | 12 | heuristica | ୧୫ ...

谷歌DeepMind掌门人Demis Hassabis在达沃斯论坛上描绘了AI的终极图景：不仅要在2026年将AI设计的药物送入临床试验，更预言未来10到15年人类将迎 来"发现的黄金时代"。 在瑞士达沃斯举行的世界经济论坛期间，谷歌DeepMind首席执行官德米斯·哈萨比斯（Demis Hassabis）接受了《财富》杂志的专访。 在这场关于人工智能未来的深度对话中，哈萨比斯不仅披露了谷歌大模型Gemini的最新进展，更重点阐述了AI在生物医药领域的颠覆性潜力，以及智能体 （Agents）和机器人技术的爆发时间点。 剑指"解决所有疾病"：2026年或成转折点 作为AlphaFold（蛋白质结构预测模型）的缔造者，哈萨比斯正试图通过其创立的初创公司Isomorphic Labs将这一技术转化为实际的药物疗法。 他在采访中透露了一个关键的时间节点：2026年。哈萨比斯表示： "我们希望到2026年初，首个药物能进入临床试验阶段。" Isomorphic Labs目前正在研究癌症、心血管疾病和免疫学等多个领域，并已与礼来公司（Eli Lilly）及全球顶级制药巨头建立了合作伙伴关系。目前，该公 司已有17个药物项 ...