Group 1 - Alibaba's stock surged over 7% on September 24, reaching its highest level since October 2021, driven by CEO Wu Yongming's announcement regarding significant investments in AI and cloud computing [1] - Alibaba Cloud's energy consumption is projected to increase tenfold by 2032, indicating a substantial rise in computational power investment [1] - The launch of Qwen3-Max, Alibaba's largest and most capable AI model, has positioned it ahead of competitors like GPT-5-Chat in various benchmarks [1] Group 2 - The Hong Kong internet sector is expected to rebound after a period of negative sentiment, with reasonable valuations and high growth potential in AI technology [2] - The Hong Kong Stock Connect Technology ETF (159262) rose by 2.84%, with significant gains in key stocks such as ASMPT and Hua Hong Semiconductor [2] - Major AI companies like Alibaba, Tencent, and Xiaomi account for nearly 45% of the ETF's weight, highlighting the concentration of technology leaders in the market [2] Group 3 - The Hong Kong Stock Connect Technology ETF saw a significant increase in scale, growing by 518 million yuan over the past week, marking the highest growth among comparable funds [3] - The ETF's latest share count reached 3.885 billion, a record high since its inception, indicating strong investor interest [3] - Continuous net inflows into the ETF over the past 11 days totaled 693 million yuan, with a peak single-day inflow of 325 million yuan [3] Group 4 - The Hong Kong Stock Connect Technology ETF provides exposure to leading technology companies, capitalizing on the opportunities presented by the AI revolution [4]

Core Viewpoint - The ultimate goal of AI is to evolve into Super Artificial Intelligence (ASI), which will surpass human intelligence and capabilities, progressing through three stages: "intelligent emergence," "autonomous action," and "self-iteration" [1][4][9] Group 1: AI Development Stages - The first stage, "intelligent emergence," involves AI learning from human knowledge and achieving capabilities comparable to a top-level human in various fields [6][9] - The second stage, "autonomous action," allows AI to perform complex tasks in the real world, utilizing tools and coding to assist humans [7][9] - The third stage, "self-iteration," will enable AI to connect with raw data from the physical world, allowing it to learn and evolve independently, ultimately leading to ASI [10][12] Group 2: Strategic Pathways for ASI - Alibaba's AI strategy focuses on two main lines: the open-source initiative "Tongyi Qianwen" to build a vast developer ecosystem and the establishment of a comprehensive AI cloud service [2][20] - The company is investing 380 billion yuan over three years to enhance AI infrastructure, anticipating a tenfold increase in energy consumption by 2032 compared to 2022 [2][22] Group 3: AI's Impact on Society - ASI is expected to revolutionize various fields, solving complex problems in medicine, materials science, and sustainable energy, thereby significantly enhancing human productivity [4][24] - The future will see a collaborative relationship between humans and AI, with numerous agents and robots working alongside people, amplifying human capabilities exponentially [24][25] Group 4: Technological Innovations - Large models are predicted to become the next generation of operating systems, facilitating interactions between users and AI resources through natural language [14][16] - The shift from traditional CPU-based computing to GPU-centric AI computing is essential for meeting the demands of future AI applications [18][20]

Core Viewpoint - The Hong Kong stock market showed a collective rebound on September 24, with the technology sector performing notably well, driven by significant movements in key stocks like Alibaba and Huahong Semiconductor [3][5]. Market Performance - The Hong Kong Technology ETF (520860) rose over 2%, with constituent stocks such as Huahong Semiconductor increasing by over 7%, and both SMIC and Alibaba-W rising by over 6% [3][5]. - The ETF has seen a net inflow of funds for four consecutive days, indicating strong investor interest [5]. Company Developments - Alibaba's CEO, Wu Yongming, emphasized the importance of large models as the next generation operating system and AI cloud as the next computing paradigm, with plans for a significant investment of 380 billion yuan in AI infrastructure [4][5]. - The company anticipates a tenfold increase in energy consumption for its global data centers by 2032, reflecting a substantial escalation in computing power investment [4]. Industry Trends - Nvidia's plan to invest up to $100 billion in collaboration with OpenAI to build AI data centers is expected to significantly boost global computing power demand, further stimulating the technology sector [5]. - Analysts from Haitong International predict that leading Hong Kong tech companies will benefit from new technological breakthroughs in the second half of the year, particularly in the AI sector [7]. - Long-term growth potential in AI technology and new consumption sectors is highlighted as a key driver for the sector's performance, alongside improved pricing power from southbound capital [7]. Investment Insights - The Hong Kong Technology ETF tracks the CSI Hong Kong Technology Index, which includes major tech companies like Tencent, Alibaba, and Xiaomi, collectively accounting for nearly 30% of the index [8]. - The ETF is positioned to help investors capitalize on opportunities within the technology industry, particularly as AI investments continue to grow [8].

Core Insights - Alibaba Group's CEO, Wu Yongming, announced at the Yunqi Conference that by 2032, the energy consumption of Alibaba Cloud's global data centers will increase tenfold compared to 2022, indicating an exponential increase in computing power investment [1] - Following this announcement, Alibaba's stock price rose by 6.4% in the Hong Kong market, reaching its highest level since October 2021 [2] - Wu emphasized that large models represent the next generation of operating systems, and AI Cloud is the next generation of computing, with a shift from CPU-centric to GPU-centric computing paradigms requiring massive infrastructure [4] Investment Activity - Cathie Wood's Ark Investment Management has resumed its position in Alibaba, purchasing approximately $16.3 million worth of Alibaba ADRs across two ETFs on September 22, marking the first re-entry since September 2021 [5] - Ark Investment's initial investment in Alibaba dates back to 2014, shortly after the company's IPO, but there have been no recorded investments or proxy votes since September 2021 [5]

Core Viewpoint - The realization of Artificial General Intelligence (AGI) is seen as a certainty, marking the beginning of a journey towards Artificial Superintelligence (ASI), which aims to surpass human intelligence and achieve self-iteration [1][7][24]. Group 1: AI Development Stages - The evolution towards ASI is outlined in three stages: 1) Emergence of intelligence through learning human knowledge; 2) Autonomous action where AI assists humans; 3) Self-iteration, where AI learns from raw data in the physical world to surpass human capabilities [1][9][12]. - The current stage is characterized by AI's ability to assist humans, utilizing tools and programming capabilities [1][10]. Group 2: AI Infrastructure and Investment - Alibaba is investing 380 billion yuan over three years in AI infrastructure, with plans for further investments to support the transition to the ASI era [2][20]. - In the past four quarters, Alibaba has invested over 100 billion yuan in AI infrastructure and product development [2]. Group 3: Financial Performance - Alibaba Cloud's revenue grew by 26%, reaching a three-year high, with AI-related revenue accounting for over 20% of external commercial income [4]. - The capital market is increasingly betting on Alibaba's AI business, with significant investments from notable funds [5]. Group 4: AI as a New Operating System - Large models are expected to become the next generation operating system, with AI Cloud serving as the new computing platform [2][16]. - The future will see a shift from traditional software to AI-generated agents, allowing users to create applications using natural language [16][18]. Group 5: Future of AI and Human Collaboration - The emergence of ASI will redefine human-AI collaboration, with AI significantly enhancing human productivity and capabilities [23][24]. - The AI revolution is anticipated to unlock new levels of productivity, similar to past technological revolutions [23][24].

Core Viewpoint - Alibaba's stock surged over 7%, reaching a four-year high, following the announcement of its largest and most powerful AI model, Qwen3-Max, and plans to increase investment in AI infrastructure to compete with U.S. rivals [2][3][5]. Group 1: AI Model Developments - Alibaba launched Qwen3-Max, a powerful language model with over 1 trillion parameters and trained on 36 trillion tokens, outperforming GPT-Chat 5 in rankings [4]. - The company introduced six new products, including an open-source security model, a travel planner, a multilingual translation API, an upgraded programming model API, a visual-language model, and the flagship Qwen3-Max [3][4]. Group 2: Investment and Growth Strategy - Alibaba plans to invest over 380 billion RMB in AI model and infrastructure development over the next three years, responding to the rapid growth in global AI investments [5]. - The company's AI-related products reported triple-digit growth, and its cloud intelligence division achieved a 26% sales increase, marking it as the fastest-growing segment [5]. Group 3: Market Sentiment and Investor Activity - Investor sentiment has been positive, with Alibaba's stock price more than doubling this year, and its ADR reaching the highest level since November 2021 [5]. - Cathie Wood's ARK Investment Management re-entered Alibaba's stock with a purchase of approximately $16.3 million, marking the first investment in the company since 2021 [6].

Core Viewpoint - The realization of Artificial General Intelligence (AGI) is seen as a certainty, marking the beginning of a journey towards Artificial Superintelligence (ASI), which aims to self-evolve and surpass human intelligence [1][7]. Group 1: Stages of AI Evolution - The evolution towards ASI consists of three stages: 1. "Intelligent Emergence," where AI learns from vast human knowledge to develop generalized intelligence [3][10]. 2. "Autonomous Action," where AI gains the ability to use tools and programming to assist humans, representing the current stage of the industry [4][11]. 3. "Self-Iteration," where AI connects with the physical world to achieve self-learning and ultimately surpass human capabilities [5][13]. Group 2: Strategic Pathways - Alibaba Cloud aims to become a "full-stack AI service provider" through two core strategies: 1. Committing to an open-source approach with Tongyi Qianwen, aspiring to create the "Android of the AI era" [5][19]. 2. Building a super AI cloud as the "next-generation computer" to provide global intelligent computing power [21][22]. Group 3: Investment and Infrastructure - Alibaba is actively pursuing a three-year plan with an investment of 380 billion yuan in AI infrastructure, with expectations of a tenfold increase in global data center energy consumption by 2032 compared to 2022 [5][25]. Group 4: AI's Impact on Society - The advent of ASI is expected to revolutionize human-AI collaboration, enhancing productivity significantly and creating new demands across various sectors [27][28].

Core Viewpoint - Alibaba has launched its largest and most powerful model, Qwen3-Max, at the 2025 Yunqi Conference, with plans to invest significantly in AI infrastructure amounting to 380 billion [2][4]. Group 1: AI Infrastructure and Investment - Alibaba is actively advancing its AI infrastructure construction with an investment of 380 billion, with intentions to increase this investment further [3][4]. - The energy consumption of Alibaba Cloud's global data centers is projected to increase tenfold by 2032 compared to 2022, indicating an exponential rise in computing power investment [4][6]. Group 2: Super Artificial Intelligence (ASI) Concept - The realization of Artificial General Intelligence (AGI) is seen as a certainty, but it is only the starting point; the ultimate goal is to develop Super Artificial Intelligence (ASI) that can self-iterate and surpass human capabilities [6][9]. - The path to ASI is divided into three stages: emergence of intelligence, autonomous action, and self-iteration [7]. Group 3: Open Source Strategy - Alibaba's initiative, Tongyi Qianwen, aims to create an open-source model, aspiring to build the "Android system of the AI era," emphasizing the value of open-source models over closed ones [9].

阿里巴巴集团董事兼CEO吴泳铭发表主旨演讲。他表示，AGI是具备人类公共认知能力的智能系统，现 在在行业看来已经成为现实的世界。但吴泳铭指出，AGI并非是发展的终点，只是全新的起点，AI肯定 不会止步于AGI， 它将迈向超越人类智能能够自我迭代进化的超级人工智能行业，称为ASI超级人工智 能。吴泳铭称，资本开支会在3800亿基础上，增加更多的投入。 【免责声明】本文仅代表作者本人观点，与和讯网无关。和讯网站对文中陈述、观点判断保持中立，不 对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考，并请自行承担 全部责任。邮箱：news_center@staff.hexun.com 阿里巴巴短线拉升，现涨超4%，报价165.8港元，夜盘涨近3%。 | 09988 阿里巴巴-W | | | | --- | --- | --- | | 165.800↑+6.400 +4.02% | | 交易中 09/24 10:40 | | SEES BEBER | | ● 快捷交易 | | 最高价 165.900 | 开盘价 158.500 | 成交量 5635.01万 | | 最低价 157.600 | 昨 ...

新模型、Agent（智能体）应用等AI软件产品及AI服务器等基础设施硬件或是看点。阿里巴巴CEO吴泳铭表示，大模型是 下一代操作系统。AI Cloud是下一代计算机。未来全世界或只会有5-6个超级云计算平台。 作者 | 龙 玥 编辑 | 硬 AI 9月24日，阿里巴巴2025云栖大会在杭州正式开幕。 本次大会将于24日至26日举行三天，以"云智一体·碳硅共生"为主题，设置 三大主论坛"云栖前瞻""云栖技 术""无法计算的价值"，共同探讨AI、云计算与产业应用的最新趋势。 硬·AI 新模型、Agent（智能体）应用等AI软件产品及AI服务器等基础设施硬件或是看点。上证报记者获悉，阿 里云将展示超大规模集群、分布式训练、推理加速等能力，并首次展出单柜支持144个计算节点的高密度 AI服务器和新一代高性能网络架构HPN8.0。 阿里巴巴CEO吴泳铭发表主旨演讲称， 资本开支会在3800亿基础上，增加更多的投入。通义千问的目标 是打造AI时代的安卓系统。大模型是下一代操作系统。AI Cloud是下一代计算机。未来全世界或只会有5- 6个超级云计算平台。 01 吴泳铭： ASI才是开始 大模型将是下一代的操作系统 大会 ...