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阿里吴泳铭最新演讲:积极推进3800亿AI基建计划,并将持续追加更大投入(全文)
Xin Lang Ke Ji· 2025-09-24 03:29
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].
全球AI云竞赛,阿里靠什么打?
虎嗅APP· 2025-09-21 02:50
Core Viewpoint - Alibaba is undergoing a self-revolution similar to historical examples like IBM and Microsoft, with a recent stock price surge reflecting market optimism about its AI strategy and cloud business performance [2] Group 1: Alibaba's Position in the AI Cloud Market - Alibaba is the only Chinese company among the world's four "super AI clouds," pursuing a full-stack self-research approach in AI chips, cloud computing, and foundational models, aligning strategically with Google [2][3] - The company has announced a significant investment of 380 billion yuan (approximately 53.5 billion USD) over the next three years for cloud and AI infrastructure, surpassing its total investment over the past decade [11] Group 2: AI Competition Dynamics - The AI competition has shifted from a "model race" to a focus on building a robust AI full-stack technology system, which includes capital investment, cloud computing capacity, foundational models, and self-developed AI chips [4][7] - The success in AI is determined by two core variables: iteration speed and cost efficiency, which require a vertically integrated AI full-stack technology system [7][8] Group 3: Comparison of Strategic Paths - Two distinct strategic paths have emerged: the "cloud + ecosystem" model represented by Microsoft and Amazon, and the "full-stack self-research" model represented by Google and Alibaba [15][17] - The "full-stack self-research" model allows for faster iteration and better cost efficiency, as seen in the recent revenue growth of both Google Cloud and Alibaba Cloud [17] Group 4: Open Source and Global Impact - The open-source model has gained traction, with Chinese models like DeepSeek and Alibaba's Tongyi Qwen influencing global AI paradigms, highlighting the importance of a complete "full-stack AI capability" for long-term competitive advantage [19] - The shift towards open-source by OpenAI is seen as a response to the growing influence of Chinese open-source capabilities, emphasizing the need for a comprehensive industrial system to convert advanced designs into scalable products [19][20]
全球AI云竞赛,阿里靠什么打?
Sou Hu Cai Jing· 2025-09-20 10:06
资本市场的反应最为直接。在经历了漫长的调整期后,阿里股价近期再度拉升,创下自2021年8月以来的新高。这轮上涨背后,是市场对其AI 战略价值的重新定价——从持续超预期的云业务财报,到通义大模型的高频迭代,再到关于其自研AI芯片的最新风声,一系列信号正共同支 撑起一个新的估值叙事。 但在这轮估值重塑中,一个更底层的核心事实远未被市场充分认知: 纵观商业史,依靠成功的自我革命来摆脱困境、重返巅峰的企业屈指可数。90年代IBM的"大象跳舞"和2014年后微软的"云转型",便是两个标 志性事件,它们证明了一家巨头在增长失速后,依然有能力完成自我重塑。 今天,类似的故事似乎正在中国市场重演——主角是阿里巴巴。 阿里巴巴不仅是全球四朵"超级AI云"中唯一的中国公司,更是其中少数采取"全栈自研"路径的公司——即在AI芯片、云计算平台和基础大模 型三个核心层面均追求顶尖自研能力,与谷歌形成了战略上的跨洋呼应。 要理解这一定位的含金量,必须先看清AI竞赛范式的剧变。 ChatGPT引爆的AGI浪潮,起初被误解为一场"模型竞赛"。移动互联网时代"一个App引爆市场"的经验,催生了2023年喧嚣的"百模大战"。但 战局迅速收敛,因 ...