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大行评级丨小摩:目前断定AI应用市场最终赢家为时过早,偏好阿里、百度及快手
Ge Long Hui· 2026-02-09 05:24
摩根大通发表研报指,消费者行为正在转变,用户获取信息和消费内容的方式逐渐改变,聊天机器人正 成为搜索、推荐和任务执行的新起点。该行认为,大型互联网平台现在愿意投入真正的营销资金以加速 采用,这将机械性地提高推理量并推动Token消耗的快速增长。摩通更青睐中国AI基础设施受益,如阿 里巴巴和百度以及在线广告受益者快手作为二级赢家,因为该行认为现在判断持久的AI应用赢家与输 家还为时过早。 ...
这个春节,AI 不聊天了,开始替我买单
机器之心· 2026-02-09 05:12
Core Viewpoint - The article discusses the competitive landscape of AI applications during the Chinese New Year, highlighting how major tech companies are leveraging AI to attract user attention and enhance consumer experiences through innovative strategies. Group 1: AI Competition and Strategies - Tencent initiated the AI Spring Festival battle by launching a 1 billion cash red envelope campaign and introducing a new AI social feature called "Yuanbao" [1] - Baidu followed with a 500 million red envelope initiative, collaborating with Beijing TV for the Spring Festival Gala [1] - ByteDance brought its Volcano Engine to the backstage of the CCTV Spring Festival Gala, intensifying the competition [1] - Alibaba's Qianwen APP entered the fray with a 3 billion "Spring Festival Treat Plan," integrating its ecosystem to offer a comprehensive consumer experience [1] Group 2: User Engagement and Order Volume - On the first day of the Qianwen APP event, over 10 million AI orders were completed within 9 hours, with more than 30 million "help me buy" requests received [2] - The overwhelming user engagement led to server congestion, prompting the Qianwen team to request leniency from users [5] Group 3: New Consumption Habits and AI Capabilities - The 3 billion investment not only aimed at distributing cash but also tested new consumer habits, encouraging users to interact with the Qianwen APP [6] - Qianwen demonstrated impressive cross-application coordination, efficiently managing travel planning by integrating services from Fliggy and Gaode [10] - In the family consumption sector, Qianwen acted as a "universal shopping guide," quickly filtering products from Taobao and Tmall based on user needs [13] Group 4: Differentiation in AI Development - The article notes the distinct strategies among tech companies, with Qianwen focusing on integrating AI into shopping and ticketing, thus targeting higher-value consumer scenarios [15] - The differences in AI development paths between China and the U.S. are highlighted, with U.S. AI primarily focusing on high-value B2B markets, while China's AI is more consumer-oriented [20][21] Group 5: Future of AI Applications - The article posits that 2023 and 2024 will be pivotal years for AI technology, with 2025 marking a year for application exploration, as evidenced by Qianwen's efforts to break the boundaries of AI applications [26] - Qianwen's approach combines AI capabilities with a robust ecosystem, enabling seamless integration of AI into everyday life [28] - The evolution of user interaction with digital platforms is shifting towards a more streamlined experience, emphasizing efficiency and convenience [29]
阿里新一代模型曝光
财联社· 2026-02-09 04:33
相关信息透露,千问3.5采用了全新的混合注意力机制,并且极有可能是原生可实现视觉理解的VLM类模型。有开发者进一步挖掘出,Qwen3.5或将 开源至少2B的密集模型和35B-A3B的MoE模型。这一最新动态印证了此前有消息称Qwen3.5将在春节期间开源。 据《科创板日报》,在全球最大AI开源社区HuggingFace的开源项目页面中,最新出现Qwen3.5并入Transformers的新PR(提交代码合并申请)。 这意味着阿里千问新一代基座模型Qwen3.5或发布在即。 ...
阿里新一代模型Qwen3.5曝光,或将开源多款模型
Xin Lang Cai Jing· 2026-02-09 04:11
新浪科技讯 2月9日午间消息,在HuggingFace开源项目页面中,最新出现Qwen3.5并入Transformers的新 PR(提交代码合并申请)。业内猜测阿里千问新一代基座模型Qwen3.5发布在即。 对此,有评论称中国大模型引领的"疯狂2月"即将开启。相关信息透露,千问3.5采用了全新的混合注意 力机制,并且极有可能是原生可实现视觉理解的VLM类模型,有开发者进一步挖掘出,Qwen3.5或将开 源至少2B的密集模型和35B-A3B的MoE模型。 新浪科技讯 2月9日午间消息,在HuggingFace开源项目页面中,最新出现Qwen3.5并入Transformers的新 PR(提交代码合并申请)。业内猜测阿里千问新一代基座模型Qwen3.5发布在即。 对此,有评论称中国大模型引领的"疯狂2月"即将开启。相关信息透露,千问3.5采用了全新的混合注意 力机制,并且极有可能是原生可实现视觉理解的VLM类模型,有开发者进一步挖掘出,Qwen3.5或将开 源至少2B的密集模型和35B-A3B的MoE模型。 此前,美媒The Information爆料Qwen3.5将在春节期间开源,而在2月初,智谱首席科学家唐杰也 ...
元宝猛砸150亿投流,打不过千问的1000万杯奶茶?
3 6 Ke· 2026-02-09 03:18
Core Insights - The article discusses the launch of Alibaba's Qianwen "Spring Festival 30 Billion Free Order" campaign, which allows users to order milk tea for just 0.01 yuan, igniting a new round of "AI takeout wars" [1][27] - The campaign saw overwhelming participation, with over 10 million orders placed within the first 9 hours, leading to significant user engagement and social media buzz [27][29] - However, the campaign also faced technical issues, with users reporting system crashes and delays in order fulfillment, highlighting challenges in user experience [1][29] Group 1 - The Qianwen campaign aims to attract users by offering milk tea at a minimal cost, leveraging AI for ordering [1][27] - Social media reactions included complaints about order errors and delivery issues, indicating operational challenges [1][4] - The campaign's success led to Qianwen topping the App Store's free download chart, surpassing Tencent's previous efforts [27][29] Group 2 - The competitive landscape features significant financial investments from major players, with Qianwen committing 30 billion yuan, including 20 billion in free order cards and 10 billion in cash red envelopes [27][29] - The article notes that the marketing strategies of various AI applications are shifting towards user retention and engagement rather than just acquisition [29][55] - The overall AI application market is experiencing a slowdown in user growth, prompting companies to focus on creating indispensable daily use cases for their products [29][55]
港股早盘高开,华虹半导体、中芯国际领涨,港股通科技ETF招商(159125)涨超1%
Jin Rong Jie· 2026-02-09 02:31
Core Viewpoint - The Hong Kong stock market, particularly the technology sector, is experiencing significant capital inflows despite global risk asset volatility, indicating a potential rebound in the sector's performance [1][2]. Group 1: Capital Inflows - Southbound funds recorded a net inflow of HKD 561 billion (approximately USD 498 million) last week, showing a marked increase compared to the previous week [2]. - Technology ETFs linked to Hong Kong stocks saw a total net inflow of HKD 173.59 billion last week, suggesting strong investor interest [4]. - Foreign capital also flowed into Hong Kong stocks, with a net inflow of USD 1.88 billion as of February 4, down from USD 2.8 billion the previous week, but still maintaining a relatively high level [4]. Group 2: Valuation and Performance - The price-to-earnings (P/E) ratio of the Hong Kong technology index tracked by the Hong Kong Stock Connect Technology ETF is approximately 26 times, which is significantly lower than the A-share ChiNext index (around 42 times) and the US Nasdaq index (around 37 times) [5]. - Since January 2017, the Hong Kong Stock Connect Technology Index has increased by 153.72%, outperforming the Hong Kong Internet Index (0.99%) and the Hang Seng Technology Index (45.74%) [6]. - Analysts suggest that the current valuation levels in the Hong Kong market remain attractive, with key investment opportunities likely to focus on sectors such as technology innovation and new productivity [6].
未知机构:长江TMT医药最新观点汇总0208电子1PCB-20260209
未知机构· 2026-02-09 02:25
Summary of Key Points from Conference Call Records Industry Overview 1. PCB (Printed Circuit Board) - The PCB sector has shown weak performance since Q4 of last year, primarily due to divergent market views on orthogonal backplane solutions, with some believing they may be replaced by copper cables/CPO or delayed until 2028. However, the orthogonal backplane is currently progressing steadily and is expected to enter mass production in H2 2027. Leading companies are experiencing stock price stagnation due to these divergences, highlighting their cost-effectiveness. Recommended companies include Dongshan Precision, Shenghong Technology, and Huidian Co. [1] - The CoWoP (Chip on Wafer on PCB) solution has stronger certainty, can reduce costs, improve efficiency, and bypass the shortage of substrate capacity. The value per square meter of PCB may increase several times, potentially reaching tenfold, with product launches expected by the end of 2027 and full implementation in 2028. Recommended companies in this direction include Pengding Holdings, Shennan Circuit, and Xinsong Technology. [1] 2. Storage - Contract prices remain in an upward cycle despite fluctuations in spot prices. Module companies are expected to see explosive Q1 performance, with Jiangbolong and Demingli realizing low-priced inventory. Recommended design companies include Zhaoyi Innovation (with a profit expectation of 6 billion) and Puran Co., Beijing Junzheng, and Hengshuo Co. [2] - Demand for memory modules is driven by AI servers and general servers, with recommendations for Lanke Technology (long-term profit of 10 billion) and Jucheng Co. (long-term profit of 1.5 billion). [2] 3. Communication - The recent decline in optical modules is related to the pullback of US tech stocks and speculation around CPO concepts. However, industry sources (such as Coherent and Xuchuang) indicate that CPO's potential to replace optical modules in ScaleOut scenarios is low, suggesting that short-term speculation may be excessive. [2] - North American cloud service providers have exceeded capital expenditure guidance for 2026 (620 billion, up 65% year-on-year), indicating potential accelerated demand for optical modules in 2027. Key upcoming catalysts include Nvidia's quarterly report (February 26), GTC conference (March), and OFC exhibition (NPO product showcase). Recommended companies include Zhongji Xuchuang, Xinyisheng, and Dongshan Precision. [2] - For copper connections as a Plan B alternative to orthogonal backplanes, companies to watch include Luxshare Precision, Wokai Nuclear Materials, and Huiju Technology (with potential for stock doubling). [2] - The price of scattered fiber has surged in the short term (from 25 to 50 yuan), but the low willingness of operators to raise prices raises doubts about long-term sustainability. [2] 4. Computing - Domestic computing resources are in short supply, with the recent downtime of Qianwen highlighting the scarcity of AI foundational resources. The demand for CPUs is expected to rise due to increased usage of agents compared to chatbots. Recommended companies include Haiguang Information (benefiting from both CPU and GPU), Cambrian (leading domestic AI chip manufacturer), and Tianshu Zhixin (expected to accelerate integration with leading players). [2] - Cloud infrastructure resources are expected to benefit from price increases, with recommendations for Kingsoft Cloud, Wangsu Technology, and Fourth Paradigm. [2] - In the AI application sector, the recent drop in overseas software and restructuring of SaaS business models may lead to a narrative reversal with the launch of native agent products in Q3 2026. Companies to watch include Alibaba for 2C entry reconstruction and third-party AI agents like TaxFriend, Zhongkong Technology, and Dingjie Smart. [2] 5. Media - Tencent has faced a decline due to market concerns over potential tax increases on internet platforms, although there is no space for increased game value-added tax. The company remains recommended despite rumors of Q4 earnings downgrades, maintaining a PE ratio of 15 times, which still offers value. [3] - The download situation for the Yuanbao app remains stable, and Tencent's AI capabilities may be closing the gap with larger competitors. [3] - In gaming, companies with upcoming catalysts such as Giant Network and Perfect World are recommended for short-term focus, while Century Huatong and Kaiying Network are suggested for medium to long-term attention due to expected catalysts. [3] - Tencent's establishment of a separate AI comic app is beneficial for the production side, which is entering a period of profitability. Recommendations include Kuaishou, Huanrui, and Rongxin. [3] 6. Pharmaceuticals - Attention is drawn to the update of the essential drug catalog, which may accelerate progress. [4] - The probability of inclusion in the essential drug catalog is high for unique products, with several specific products from companies like Jichuan Pharmaceutical and Panlong Pharmaceutical being highlighted. [4] - Emphasis on the global competitiveness of the innovative drug industry chain, with a focus on new-generation ADCs, IOs, small nucleic acids, and CGT. Recommended companies include Kanghong, Yingen, Yunding, and Chengdu Xian Dao. [4] - The brain-computer interface theme is noted, with a potential showcase of non-invasive products during the Spring Festival and a semi-invasive product approval for Borui Kang in March. [4] - Recommendations include Meihua Medical, Dongwei Semiconductor, and Sanbo Brain Science. [5] - The surgical robot sector is expected to see comprehensive implementation of charging policies before August, with overseas orders doubling and maintaining high growth in 2027. Key types include laparoscopic and orthopedic robots, with strong overseas performance for laparoscopic robots. Recommended companies include MicroPort, Jingfeng Medical, Tianzhihang, and Sanyou Medical. [6]
多重利好驱动风险偏好迅速回升!阿里巴巴涨超2%,港股互联网ETF(513770)涨逾1%,美联储释放维稳信号
Xin Lang Cai Jing· 2026-02-09 02:05
2月9日,港股早盘高开,互联网龙头集体走强,阿里巴巴-W涨超2%,腾讯控股、哔哩哔哩-W涨逾 1%,小米集团-W、快手-W、美团-W跟涨。港股AI核心资产——港股互联网ETF(513770)场内价格 现涨1.36%。 | 分时 多日 1分 * | | F9 盘前盘后 静加 九花 面线 工机 @ (7) > | | | | | 港股互联网ETF 1 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | 513770[潮腹互联网ETF] 09:41 价 0.521 涨跌 0.007(1.36. | E 2.14% | 0.527 +0.007 +1.36% | | | 513770 | | | A | | | | SSE CNY 9/41:53 交易中 查看L2全国 | | | 140 80 × 13 × | | | 0.520] | | | 1.07% | 冷藏在我的重中证港股通互 近5日本流入 | | | | 单位(万元) | | 0.514 | | | 0.00% | 零比 4.20% 零差 46142 0.525 55349 2 ...
硅谷不相信忠诚,AI行业玩成NBA,科学家爽拿“转会费”
3 6 Ke· 2026-02-09 01:48
Core Insights - The loyalty of employees in Silicon Valley has diminished, with significant talent poaching events occurring among major tech companies, particularly in the AI sector [1][2] - The trend of "acqui-hire," where companies acquire others primarily for their talent rather than products, has become a common strategy among tech giants [24][27] Group 1: Talent Poaching Events - Major talent poaching incidents include Meta's $14.3 billion investment in Scale AI to acquire co-founder Alexandr Wang in June 2025, Google's $2.4 billion acquisition of Windsurf's technology and team in July 2025, and NVIDIA's $20 billion deal with Groq in December 2025 [1][2][11] - OpenAI has also been active in recruiting talent, bringing back researchers from Thinking Machines Lab and attracting former Google DeepMind employees [1][2] Group 2: Motivations for Job Changes - Employees are motivated to switch jobs for various reasons, including high salaries, access to cutting-edge resources, and the pursuit of more promising technologies and products [2][32] - The phenomenon of "active" and "passive" job changes is noted, with many researchers leaving for better opportunities or being relocated due to company acquisitions [2] Group 3: Acqui-hire Strategy - Acqui-hire has become a popular method for tech giants to quickly acquire skilled teams without facing antitrust scrutiny, allowing them to maintain a competitive edge in AI [24][27] - The case of Google's acquisition of Windsurf illustrates the potential fallout for remaining employees, who may feel abandoned when key talent is poached [27][28] Group 4: Employee Sentiment and Loyalty - Despite high salaries offered by companies like Meta, employee loyalty remains elusive, with some researchers returning to their previous employers shortly after being hired [18][20] - The culture in the tech industry is shifting, with employees increasingly concerned about long-term commitments to a single company, leading to a more fluid job market [32][35] Group 5: Domestic Talent Competition - The talent war is not limited to Silicon Valley, as domestic companies are also aggressively recruiting AI talent from top labs, indicating a global trend in talent mobility [37][39] - High salaries and rapid job changes are characteristic of the AI industry, where top talent is viewed as a strategic asset [40]
方正富邦基金吴昊:锚定AI应用浪潮 把握产业链生态红利
Zhong Guo Zheng Quan Bao· 2026-02-09 00:48
当科技节奏以月甚至周为单位发生剧烈变化,投资的坐标系该如何锚定?在算力竞赛的轰鸣渐次转向应 用落地之际,方正富邦科技创新混合的基金经理吴昊,正将他罗盘的中心,对准一个庞大的生态——阿 里链。 近日,吴昊在接受中国证券报记者采访时表示,2026年上半年科技成长风格大概率占优,AI应用将是 其中最具确定性的方向之一,2026年或成为AI应用的爆发元年。他将以"主动+量化"融合的模式,把握 产业链变迁脉络,系统捕捉投资机遇。 看好AI应用 2026开年以来,市场热点层出不穷,从AI应用、商业航天、太空光伏等科技成长方向,到黄金、白银 等贵金属,投资者的目光不知该聚焦何处。在吴昊看来,最具确定性的方向之一就是AI应用。 这使得吴昊将研究火力集中在"阿里链"上。他定义的"阿里链",并非传统供应链,而是一个以阿里全栈 AI能力为内核,涵盖算力底座、模型平台与垂直场景应用的完整生态。"我们看好的是链主重估+生态 共振的逻辑。"他解释说,"链主"即阿里巴巴自身,其云与AI业务的价值正被市场用SOTP(分部估值 法)重估;而"链属"则是围绕其生态的合作伙伴,它们将在AI应用爆发中率先受益。 "产业链的景气度传导逻辑非常清晰。从 ...