（文章来源：第一财经） 阿里平头哥官网29日上线高端AI芯片"真武810E"产品信息，该芯片实现软硬件全自研，已在阿里云实 现多个万卡集群部署，服务了国家电网、中科院、小鹏汽车、新浪微博等400多家客户。这是通义实验 室、阿里云和平头哥组成的阿里巴巴AI黄金三角"通云哥"首次浮出水面。 ...

格隆汇1月29日｜据一财，一款名为 Clawdbot 的 AI 助手近期从海外火到国内，成为2026年开年最受瞩 目的AI爆款。它不仅吸引大量开发者尝试，更引来腾讯云、阿里云等国内云厂商火速接入，提供一键 部署服务。 1月28日下午，腾讯云与阿里云相继宣布上线 Clawdbot 云端极简部署及全套云服务，强调 用户可一键完成安装。此前，云厂商优刻得也已上线该服务。"用户量持续增长，客服这几天收到很多 用户的咨询。"优刻得架构技术中心总监刘华表示。 通俗来说，Clawdbot 如同一个线上版"贾维斯"，能 接管个人终端几乎所有任务。作为一个免费开源项目，它迅速吸引了大量开发者与从业者参与测试并分 享体验。 然而爆红之后，Clawdbot 也面临诸多争议：先是名称被 Anthropic 指控侵权而被迫改名，此外 用户隐私与数据安全也成为该产品最大的潜在风险。 ...

Market Overview - US stock indices showed mixed performance on Wednesday, with the Hang Seng Index ADR rising but closing lower compared to Hong Kong's market close, at 27,511.69 points, down 315.22 points or 1.13% [1] Major Blue-Chip Stocks - HSBC Holdings closed at HKD 135.752, down 1.27% from the Hong Kong market close [2] - Tencent Holdings closed at HKD 613.539, down 1.20% from the Hong Kong market close [2] Stock Performance Summary - Tencent Holdings: Latest price HKD 621.000, up 2.31%, ADR price HKD 613.539, down 1.20% [3] - Alibaba Group: Latest price HKD 173.500, up 2.12%, ADR price HKD 171.309, down 1.26% [3] - HSBC Holdings: Latest price HKD 137.500, up 2.23%, ADR price HKD 135.752, down 1.27% [3] - Xiaomi Group: Latest price HKD 36.320, up 2.14%, ADR price HKD 35.857, down 1.27% [3] - AIA Group: Latest price HKD 88.850, up 2.78%, ADR price HKD 87.888, down 1.08% [3] - Meituan: Latest price HKD 56.86, up 1.86%, ADR price HKD 97.328, down 1.04% [3] - BYD Company: Latest price HKD 102.800, up 4.58%, ADR price HKD 101.502, down 1.26% [3]

Core Viewpoint - The self-sufficiency process of domestic AI chips in China is accelerating, with at least nine companies exceeding 10,000 units in shipment or orders [1] Group 1: Company Performance - Domestic AI chip brands include Huawei Ascend, Baidu Kunlun, Alibaba Pingtouge, and Cambricon, among others [1] - Companies with significant shipment volumes have reached a cumulative shipment level of 100,000 units [1] - Smaller AI chip companies, such as Sunrise and Qingwei Intelligent, are projected to exceed 10,000 units in shipment or orders by 2025 [1] Group 2: Market Landscape - The market features a mix of established tech giants and emerging startups in the AI chip sector [1] - Companies like Cambricon, Muxi, Tianshu Zhixin, and Suiruan Technology are either publicly listed or preparing for an IPO [1]

Investment Rating - The report maintains a "Strong Buy" rating for Alibaba Group (09988.HK) [1][4][6] Core Views - The report highlights the competitive advantage and profit improvement potential of Alibaba Cloud, especially in light of recent price increases by major overseas cloud service providers like AWS and Google Cloud due to a supply-demand imbalance driven by surging AI demand [1][3] - Alibaba Cloud, as the leading player in the AI cloud market, is expected to benefit from the industry's pricing trends and maintain strong growth and profitability [3][4] Financial Projections - For FY2026-2028, the projected non-GAAP net profits are estimated at 92.4 billion, 134.4 billion, and 180.9 billion respectively, reflecting a significant recovery and growth trajectory [4] - The report anticipates a target price of HKD 194 per share based on a 10x PE for the Chinese e-commerce group and a 10x PS for the cloud intelligence group [4][6] Financial Data Summary - The main revenue for FY2024 is projected at 941.2 billion, with a growth rate of 8%, and expected to reach 1,320.9 billion by FY2028 [5][11] - Adjusted EBITA for FY2026 is expected to decline to 101.3 billion, followed by a strong recovery in FY2027 and FY2028 [5][11] - The report indicates a net profit margin of 8.5% for FY2024, improving to 10.8% by FY2028 [12]

Core Insights - ByteDance's valuation is currently estimated at $480 billion, surpassing Alibaba and posing significant competition to both Alibaba and Tencent in various sectors [1][2]. - The traditional "BAT" (Baidu, Alibaba, Tencent) framework has been disrupted, with ByteDance emerging as the new center of gravity in the tech landscape [4]. Group 1: Historical Context and Competition - The competition has evolved from a focus on user attention (2016-2019) to a battle for consumer spending (2020-2023), and is expected to shift towards AI-driven competition (2024-2026) [6][45]. - ByteDance's rise began with its innovative recommendation engine, which allowed it to capture user engagement more effectively than traditional platforms [12][26]. - By 2019, ByteDance's digital advertising revenue surpassed Baidu's, marking the end of the old BAT era [17]. Group 2: Market Dynamics - The transition to "transaction wars" saw ByteDance establish a significant presence in e-commerce, with its GMV skyrocketing from approximately 500 billion yuan in 2020 to 2.6 trillion yuan by 2023 [32]. - During this period, Alibaba faced severe challenges, including regulatory issues and competition from both ByteDance and Pinduoduo, leading to a significant decline in its market position [34][33]. - Tencent's response to the competition included the launch of WeChat Video Accounts, which integrated various services within its ecosystem, allowing for a more seamless user experience [38][41]. Group 3: Future Outlook - The upcoming "intelligent wars" will focus on AI capabilities, with companies vying for control over user intent through advanced AI agents [45][46]. - ByteDance is rapidly advancing in AI, launching its AI assistant "Doubao," which has gained over 100 million daily active users, showcasing its potential in the AI space [54]. - Alibaba is also pivoting towards AI, with its open-source model gaining traction among developers, while Tencent is restructuring to enhance its AI capabilities [66][60]. Group 4: Key Metrics - As of now, Tencent leads in monthly active users with 1.4 billion on WeChat, while ByteDance boasts two products (Douyin and TikTok) with over 1 billion monthly active users each [71]. - In e-commerce, Alibaba remains the leader with a GMV of approximately 8 trillion yuan, but ByteDance's e-commerce segment has reached around 3 trillion yuan, significantly impacting Alibaba's market share [71].

Core Viewpoint - Tencent has officially exited investments in JD.com and Meituan, signaling a strategic shift away from the competitive food delivery market to focus on artificial intelligence [3][4] Group 1: Strategic Shift - Tencent's CEO, Ma Huateng, announced the company's decision to withdraw from investments in JD.com and Meituan during the 2025 annual employee meeting [3] - This decision is interpreted as a strategic contraction in the fiercely competitive food delivery and community group buying sectors, with Tencent redirecting its focus towards core areas in artificial intelligence [3][4] Group 2: Competitive Landscape - The food delivery market has seen intense competition, with JD.com initiating a significant price war, followed by Meituan's quick response and Alibaba's entry through the integration of Ele.me into its Taobao Flash Purchase segment [3] - The combined investment of JD.com, Meituan, and Alibaba in this sector reached 80 billion yuan, with a notable increase of approximately 10 billion yuan in the third quarter compared to the second quarter [3] Group 3: Financial Impact - The high costs of competition have severely impacted financial performance, with JD.com reporting a 56% year-on-year decline in adjusted net profit to 5.8 billion yuan in Q3 2025 [4] - Meituan recorded a net loss of 16 billion yuan, marking its largest loss since going public, while Alibaba's net profit fell by 52% to 21 billion yuan, with a 72% decline when excluding GAAP adjustments [4] Group 4: Future Strategies - Despite Tencent's exit, competition in the food delivery and instant retail sectors remains fierce, with Alibaba demonstrating a commitment to increasing market share and investment in its Taobao Flash Purchase strategy [4][5] - Alibaba aims to enhance its user base and engagement by focusing on high-ticket users and expanding into non-food retail categories [5]

| 公司名称 | 成交金额 | 净买入额 | | --- | --- | --- | | 阿里巴巴-W(09988) | 30.81 亿元 | -1.01 亿元 | | 中芯国际(00981) | 19.73 亿元 | -3957.24 万元 | | 腾讯控股(00700) | 18.66 亿元 | +1.67 亿元 | | 中国海洋石油(00883) | 18.60 亿元 | -2.47 亿元 | | 长飞光纤光缆(06869) | 13.52 亿元 | +2.98 亿元 | | 紫金矿业(02899) | 13.17 亿元 | +10.13 亿元 | | 泡泡玛特(09992) | 10.25 亿元 | +2.45 亿元 | | 小米集团-W(01810) | 8.56 亿元 | -5105.41 万元 | | 华虹半导体(01347) | 7.52 亿元 | +4528.36 万元 | | 金山云(03896) | 6.63 亿元 | +1.65 亿元 | | 公司名称 | 成交金额 | 净买入额 | | --- | --- | --- | | 阿里巴巴-W(09988) | 50.18 亿元 | -8 ...

Core Viewpoint - Southbound capital saw a significant increase in trading volume today, reaching approximately HKD 137.85 billion, but still experienced a net outflow of about HKD 34.27 billion, marking a continuous outflow trend over the past four trading days totaling approximately HKD 64.88 billion [2][3]. Trading Activity - Southbound trading accounted for 38.13% of the total turnover of the Hang Seng Index today, with a notable net outflow from the Shanghai-Hong Kong Stock Connect of approximately HKD 47.72 billion and a net inflow from the Shenzhen-Hong Kong Stock Connect of about HKD 13.45 billion [2]. - Major stocks with significant net inflows included Tencent Holdings (HKD 1.21 billion), Pop Mart (HKD 734 million), Yangtze Optical Fibre (HKD 298 million), and CloudWalk Technology (HKD 74 million) [3]. - Conversely, stocks with substantial net outflows included Alibaba (HKD 945 million), Zijin Mining (HKD 854 million), China Mobile (HKD 748 million), and SMIC (HKD 379 million) [3]. Stock Performance - Tencent Holdings increased by 2.31%, with a cumulative reduction of approximately 80,000 shares over the past five days, but has seen a return of capital in the last three days [4]. - Pop Mart surged by 7.03%, with an increase of 19.44 million shares over the past five days, indicating a continued inflow trend [5]. - Yangtze Optical Fibre rose by 15.43%, despite a reduction of 6.78 million shares in the previous five days, suggesting a short-term outflow [5]. - CloudWalk Technology experienced a significant increase of 73.79%, with an addition of 440,000 shares over the past five days, indicating accelerated inflow [5]. - Alibaba saw a rise of 2.12%, with an increase of 27.08 million shares over the past five days, maintaining a short-term inflow trend [5]. - Zijin Mining increased by 3.13%, but has seen a reduction of 49.81 million shares over the past five days, indicating a short-term outflow [5]. - China Mobile rose by 3.06%, with a reduction of 21.9 million shares over the past five days, continuing the outflow trend [5]. - SMIC increased by 3.52%, with an addition of 44.02 million shares over the past five days, indicating a short-term inflow trend [5].

Core Viewpoint - The article discusses the recent advancements in domestic AI models in China, highlighting the competitive landscape and the shift towards engineering maturity in the industry, with a focus on multi-modal capabilities and inference efficiency [5][11][16]. Group 1: Model Updates and Industry Trends - Several domestic model manufacturers have recently updated their models, including DeepSeek's new OCR 2 model and Kimi's K2.5 model, indicating a competitive environment in the AI model sector [5][8]. - The release of these models has generated significant attention, with predictions of a competitive landscape for AI models leading up to the 2026 Spring Festival [5][8]. - Industry experts view the recent model updates as a sign of the industry's transition towards engineering maturity, moving from parameter competition to engineering optimization and from experimental demos to scalable services [5][11]. Group 2: Multi-Modal and Inference Engineering - DeepSeek's OCR 2 model utilizes an innovative DeepEncoder V2 method, allowing for dynamic rearrangement of image components based on their meaning, which enhances performance in complex layouts [8][10]. - Kimi's K2.5 model is described as the company's most intelligent model to date, supporting a wide range of tasks including visual and text input, indicating a strong focus on multi-modal architecture [8][9]. - The trend towards improving inference efficiency and reducing costs is evident, with companies like Alibaba releasing models aimed at enhancing multi-modal information retrieval and cross-modal understanding [11][16]. Group 3: Competitive Landscape and Cost Efficiency - The competition among leading companies in the AI model sector is intensifying, with firms striving to position themselves advantageously [13][14]. - Cost efficiency is becoming increasingly important, with companies prioritizing models that offer high performance at lower costs, as demonstrated by the significant price reductions in model API usage [14][15]. - The industry is witnessing a shift from a focus on scale to a focus on efficiency and practical application, marking a new phase in the development of AI models [15][22]. Group 4: Technical Challenges and Future Directions - Key technical challenges include improving inference capabilities, addressing model hallucinations, and enhancing interpretability, which are critical for broader application in various industries [16][21]. - The need for dynamic optimization of inference capabilities is highlighted, as current models lack flexibility in decision-making based on information completeness [16][17]. - The article emphasizes the importance of multi-modal technology optimization, as current models often require extensive adjustments to achieve desired outputs, indicating a need for more user-friendly solutions [17][18].