炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 从2月宣布投入3800亿元建设AI基础设施，到9月宣布向超级人工智能（ASI）进发至上周开启千问APP 正式公测，今年以来阿里巴巴在AI领域的密集布局与多线叙事，以及持续投入的进取姿态，正推动其 业绩增长与资本市场估值重回巅峰。 11月25日阿里发布的2026财年第二季度财报，阿里巴巴集团收入2477.95亿元，剔除已出售业务影响， 收入同比增长15%，超市场预期。 AI+云、消费两大战略领域业务强劲增长。阿里云季度收入同比加速增长34%，AI相关产品收入连续第 九个季度实现三位数增长；大消费平台协同效应显著，即时零售带动淘宝App月活跃消费者快速增长。 随着阿里AI战略在今年全面铺开，一条从AI算力、云平台、大模型再到应用层面的完整布局的全栈AI 能力已清晰浮现，阿里正向B端与C端全面发力。 在财报分析师电话会上，阿里巴巴集团CEO吴泳铭分享了AI战略进展，阿里正在AI to B 和AI to C两大 方向齐发力——在AI to B领域，做世界领先的全栈AI服务商，服务千行百业不断增长的AI需求；在AI to C领域，基于性能领先的A ...

阿里正在AI to B 和AI to C两大方向齐发力。 在AI赛道，阿里正在快速开疆拓土。 通义千问API单周调用量突破2000亿Tokens，跃居全球第四；千问App公测首周下载量超千万，成为史上增长最快AI应用。阿里正以惊人的速度，在B端与 C端同时绘制出自己的AI疆域。 阿里AI战略的双线布局正迎来收获期。在企业市场，阿里云凭借全栈AI能力持续扩大在AI云市场的领先优势。 业绩是最直接的证明。本财季，阿里云实现加速增长，AI相关业务已成为核心驱动力。这一增长直接印证了阿里"All in AI"战略的前瞻性与正确性。 11月25日，阿里巴巴集团发布2026财年第二季度业绩，在旺盛的AI需求推动下，阿里云整体收入同比强劲增长34%。其中，AI相关产品收入连续9个季度 实现三位数同比增长。 "客户需求还是很旺盛，阿里云AI服务器的上架节奏，还是严重跟不上客户订单的增长速度，在手积压订单数量还在持续扩大，从数据需求看，未来增长 潜力还在持续加速。"财报会上，吴泳铭表示，对未来AI的需求，抱有较大的信心。 11月25日，财报分析师电话会上，阿里巴巴集团CEO吴泳铭向市场展示了其清晰的AI战略大图：阿里正在AI ...

Core Insights - Alibaba officially launched the "Qianwen" project on November 17, 2025, aiming to enter the AI to C market with top-tier resources and leading global technology, resulting in a surge of users that temporarily crashed the Qianwen app [1][3] - The launch of the Qianwen app is positioned as a direct competitor to ChatGPT, focusing on practical applications rather than entertainment, marking a significant shift in AI's role in daily life [1][4] Group 1: Timing and Strategic Framework - Alibaba's CEO, Wu Yongming, categorizes the development of general artificial intelligence (AGI) into three stages: "learning human," "assisting human," and "surpassing human," indicating that the current capabilities have transitioned into the "assisting human" phase, which supports the company's push into the C-end market [3][4] - The company believes the real breakthrough in the C-end market lies in "productivity AI," where users seek assistance in practical tasks rather than entertainment, aligning with the capabilities of the Qwen3 model [3][4] Group 2: Competitive Advantages - Alibaba's confidence in competing with ChatGPT stems from its unique "ecosystem + technology" dual-engine strategy, leveraging a rich digital service matrix that includes platforms like Taobao, Tmall, and Dingtalk, providing seamless integration for the Qianwen app [4][5] - The Qwen model family, which has evolved to its third generation, boasts over 600 million downloads and more than 170,000 derivative models, establishing itself as a leading open-source model globally [5][6] Group 3: Strategic Goals of Qianwen App - The Qianwen app aims to be more than just a conversational AI; it is designed to function as a "task-doing AI assistant," capable of generating reports and performing complex tasks based on user commands [6][7] - Future enhancements will allow the app to integrate various services, enabling users to execute multiple tasks through simple commands, thus transforming human-computer interaction [6][7] Group 4: Implications for the AI Landscape - The launch of the Qianwen app signifies a significant challenge to global AI products, backed by Alibaba's substantial investment in AI infrastructure and a commitment to practical applications of AI in everyday life [7] - This initiative reflects a broader narrative of China's confidence in its AI capabilities, positioning itself as a key player in the global AI discourse amid geopolitical tensions [7]

Core Viewpoint - SoftBank Group is increasing its investment in OpenAI, aiming to become a "platform provider" that generates revenue through AI infrastructure, despite the lack of a clear path to profitability in AI-related businesses [2][4]. Investment Strategy - SoftBank Group plans to invest an additional $22.5 billion in OpenAI in December, bringing its total investment to $34.7 billion, making it the largest shareholder with an approximate 11% stake [5]. - The investment has already yielded significant returns, with SoftBank reporting an investment gain of 21.567 trillion yen from its investments in OpenAI during the April to September period [4]. Collaboration and Future Plans - SoftBank is collaborating with OpenAI on the "Stargate" project, which involves building large data centers across the U.S., and is also supporting OpenAI in semiconductor and energy supply [4][7]. - The company is also planning to acquire semiconductor firms and establish its own power supply system to support AI development [7]. Market Position and Competition - OpenAI is preparing for an IPO, with its valuation potentially reaching $1 trillion, which could further increase the value of SoftBank's holdings [5]. - Despite the optimistic outlook, there are concerns about OpenAI's ability to maintain its leading position in the face of competition from companies like Google, Amazon, and emerging Chinese firms [9]. Leadership Vision - SoftBank's CEO Masayoshi Son believes that the global AI market, estimated at around 600 trillion yen, will be shared among a few key players, with SoftBank and OpenAI positioned at the core [7]. - The company is also investing in robotics, having announced an 800 billion yen acquisition of ABB's robotics business, which is seen as a strategic move to enhance its capabilities in AI and robotics integration [7].

Group 1: Internet and Digital Economy - The 2025 World Internet Conference in Wuzhen focuses on building a community in cyberspace, emphasizing digital economy and cultural heritage digitization [1] - Over 1,600 guests from more than 130 countries and regions attended the conference, highlighting its global significance [1] - The conference showcases the transition from "interconnected" to "intelligent" internet, reflecting deep integration of industrial chains and comprehensive upgrades of digital infrastructure [1] Group 2: Artificial Intelligence and Robotics - AI is becoming a core trend in China's digital economy, with companies like JD.com accelerating the intelligent upgrade of supply chains and logistics [2] - JD.com aims to reduce social logistics costs to below 10% of GDP within the next five years, indicating a significant advancement in logistics efficiency [2] - The emergence of "embodied intelligence" and "spatial intelligence" marks a shift in AI from virtual to physical realms, enhancing robots' spatial understanding and collaborative capabilities [2][3] Group 3: AGI Development - Domestic internet giants are investing in large-scale AI infrastructure, moving towards Artificial General Intelligence (AGI) [5] - Alibaba is building a super AI cloud to provide leading AI services globally, indicating a competitive landscape in AI development [5] - The development of AGI is seen as a three-stage process, with the current phase being the beginning of AGI, which will enable machines to perceive, reason, and innovate [5] Group 4: Challenges and Future Directions - Current AI lacks the stable intelligence of humans, performing well in complex tasks but poorly in simpler ones, necessitating advancements in learning algorithms [6] - Humanoid robots are viewed as ideal carriers for AGI, providing the best interface for interaction with the physical world [6] - The Wuzhen Summit serves as a critical observation point for the evolution of China's internet ecosystem, which is increasingly integrating with industries and taking on a leading role in the global AI landscape [6]

Trade Data - In October, China's exports decreased by 1.1% year-on-year in USD terms, while imports increased by 1% [2] - ASEAN remains China's largest trading partner, with a trade value of 6.18 trillion yuan, up 9.1% [2] - The trade value with the EU was 4.88 trillion yuan, up 4.9%, while trade with the US fell by 15.9% to 3.38 trillion yuan [2] Economic Outlook - Recent US-China trade negotiations have led to the temporary cancellation of some tariffs, which may boost Chinese exports [3] - Domestic demand recovery is slow, putting pressure on economic growth in Q4, with more focus on the declining import side [3] US Employment Trends - In October, US companies announced 153,000 layoffs, a 183% increase month-on-month, marking the highest monthly figure since 2003 [7] - The technology sector saw significant layoffs, with 33,300 job cuts, nearly six times that of September [7] - The overall job market in the US is cooling, with rising layoffs and stagnant hiring demand [8] AI Infrastructure Development - Alibaba is building a large-scale AI infrastructure, aiming to provide leading AI services globally [9] - The development of AI is expected to progress through three stages, with the current focus on achieving AGI (Artificial General Intelligence) [9][10] Robotics Innovations - XPeng Motors plans to mass-produce humanoid robots by the end of 2026, targeting a market projected to be worth $20 trillion [11] - The humanoid robot, IRON, is designed for various applications, including service roles [12] Tesla's Compensation Plan - Tesla's CEO Elon Musk's compensation plan, valued at approximately $1.03 trillion, was approved by 75% of shareholders [13] - The plan includes ambitious targets such as achieving a market cap of $8.5 trillion and delivering 20 million vehicles [13][14] Market Performance - On November 7, the Chinese stock market experienced a slight decline, with the Shanghai Composite Index down 0.25% [17] - The market is currently characterized by a lack of clear leadership, with various sectors experiencing mixed performance [18]

Core Viewpoint - The 2025 World Internet Conference in Wuzhen focuses on building an open, cooperative, and inclusive digital future, emphasizing the importance of collaboration in the digital economy [2]. Group 1: AI Development and Impact - Alibaba's CEO, Wu Yongming, highlighted the rapid evolution of AI technology towards Artificial General Intelligence (AGI) and eventually Super Artificial Intelligence (ASI), expressing confidence in achieving significant milestones by 2035 [4]. - JD Group's founder, Liu Qiangdong, projected a tenfold growth in the global tourism market over the next five years, driven by advancements in technology that will create new job opportunities and reduce labor intensity [4]. - JD Logistics has developed automated equipment capable of large-scale deployment, with plans to establish the world's first fully unmanned delivery station by April next year [6]. Group 2: AI Accessibility and Inclusivity - Wu Yongming emphasized that the new generation of AI products will be accessible to various demographics, including the elderly and disabled, aiming to bridge the digital divide [6]. - Alibaba's "Mota" community has become the largest AI open-source community in China, with over 120,000 open-source models and 5,500 services, serving more than 20 million users [7]. Group 3: Future of Robotics and Technology - The "Hangzhou Six Little Dragons" discussed the rapid advancements in robotics, with expectations for significant developments in the coming years [8]. - Companies like Qiang Brain Technology are focusing on brain-computer interface technology to assist individuals with disabilities, while also planning to develop products for the general public [9]. - Cloud Deep Technology aims to replace human labor in hazardous environments with robots, showcasing the first humanoid robot capable of outdoor operations [10].

Core Insights - Alibaba Group's CEO, Wu Yongming, emphasizes a shift in focus from e-commerce and digital economy to artificial intelligence (AI) during the World Internet Conference, highlighting the company's commitment to AI development [2][3] - Wu outlines three stages of AI evolution: intelligent emergence, general artificial intelligence (AGI), and super artificial intelligence (ASI), indicating that the industry is currently at the beginning of the AGI stage [3][4] - The company positions Alibaba Cloud as a full-stack AI service provider, aiming to support the growing demand for large-scale computing infrastructure necessary for the AI revolution [5] AI Development Stages - The first stage, intelligent emergence, involves AI learning from vast human knowledge to solve real-world problems, characterized by "learning humans" [4] - The second stage, AGI, is marked by AI agents performing numerous tasks in the digital realm and interacting with the physical world, characterized by "assisting humans" [3][4] - The third stage, ASI, will see AI autonomously learning and iterating, characterized by "surpassing humans," but this stage is still a long way off [4][5] Infrastructure and Technology - The demand for super-scale computing necessitates a robust infrastructure, which Alibaba aims to fulfill through its "super AI cloud" strategy [5] - Alibaba Cloud's offerings include a comprehensive AI service chain that encompasses model training, inference, deployment, and optimization, moving beyond mere computing resource provision [2][5] Community and Accessibility - The "Mota" community, established by Alibaba, has become the largest AI open-source community in China, providing a platform for developers to access and contribute to over 120,000 open-source models [6][7] - The community has seen significant participation from small organizations and independent developers, with initiatives aimed at leveraging AI for social good, particularly in education and support for vulnerable groups [6][7] Market Position and Future Outlook - Alibaba's "Tongyi Qianwen" model has gained recognition as a leading open-source model, dominating rankings and fostering a developer-friendly ecosystem [5] - The company expresses confidence in achieving the goal of transitioning to an intelligent economy and society by 2035, driven by AI's potential to enhance productivity and liberate human capabilities [4]

Core Insights - Alibaba Group's CEO emphasizes the accelerated evolution of AI technology towards Artificial General Intelligence (AGI) and ultimately Super Artificial Intelligence (ASI) [1][2] - The company is significantly investing in building a super AI cloud to promote open-source and technology accessibility [1] - AI development is categorized into three stages: emergence of intelligence, transition to AGI, and realization of ASI, with the current focus on the second stage [1] Group 1 - The first stage of AI development involves the emergence of intelligence, where AI learns from vast human knowledge to solve real-world problems [1] - The second stage, currently underway, is characterized by AI's ability to assist humans in various digital tasks and connect with the physical world [1] - The third stage aims for ASI, where AI will autonomously learn and iterate, requiring a significant amount of time to achieve [1] Group 2 - The Chinese government's initiative aims for the country to fully enter a new stage of intelligent economy and society by 2035 [2] - The CEO expresses confidence in achieving this decade-long goal, highlighting the transformative potential of AI on productivity and human liberation [2] - Alibaba is constructing large-scale AI infrastructure to provide leading AI services to global developers [2]

Core Insights - Alibaba's CEO, Wu Yongming, emphasizes the acceleration of AI development towards General Artificial Intelligence (AGI) and ultimately Super Artificial Intelligence (ASI) [1][2] - The company is investing in building a Super AI Cloud to support this evolution and promote open-source and inclusive technology [1][3] AI Development Stages - AI development is expected to progress through three stages: emergence of intelligence, transition to AGI, and realization of ASI [2] - The first stage involves AI learning from vast human knowledge to solve real-world problems, characterized as "learning human" [2] - The second stage, currently beginning, sees AI assisting humans in digital tasks and connecting to the physical world, termed "assisting human" [2] - The final stage, ASI, will enable AI to autonomously learn and iterate, surpassing human capabilities, but this is projected to take a long time [2] Alibaba's Super AI Cloud Initiative - In response to the Chinese government's directive for AI development by 2035, Alibaba is confident in achieving this goal and believes AI will significantly enhance productivity and human liberation [3] - The Super AI Cloud is positioned as a necessary infrastructure to support large-scale computing demands, with Alibaba Cloud aiming to be a leading provider of AI services globally [3] Open Source and Inclusive Technology - Alibaba's "Tongyi Qianwen" model is recognized as a leading global model, dominating the Hugging Face community rankings [4] - The company has committed to an open-source approach, having released over 300 models and achieving over 600 million downloads, with more than 170,000 derivative models [4] - The "Mota" community, the largest AI open-source community in China, has gathered over 120,000 models and served over 20 million users, fostering a collaborative environment for AI developers [4][5] Social Impact and Accessibility - The company highlights the importance of technology inclusivity, ensuring that vulnerable groups can benefit from AI advancements [5] - Initiatives like the "Small Opportunities" AI open-source public welfare innovation challenge aim to explore AI solutions for rural education, elderly care, and accessibility for disabled individuals [5]