以下文章来源于硬AI ，作者硬ai 硬AI . AI时代，快人一步~ 来源 | 硬AI 一边是AI工具年省5亿美元成本、销售效率跃升9%，一边是史上最大规模裁员与800亿美元AI基 建投入——科技巨头微软正深陷增效与资本压力的双重漩涡。 据彭博7月10日援引知情人士消息，本周，微软首席商务官Judson Althoff在内部演讲中透露， 2024年， AI工具在微软客服中心实现超5亿美元成本节约，同时提升了员工与客户的满意度。 Althoff强调，通过使用微软的Copilot AI助手，每位销售人员都能找到更多潜在客户、更快完成 交易，并实现9%的营收增长。 AI技术渗透更延伸至工程领域。Althoff夫透露，微软新产品中35%的代码由AI生成，显著缩短研 发周期。公司旗下GitHub Copilot已成为AI编程工具市场的领导者，截至4月用户数达到1500 万。 同时，Althoff称，AI在小客户交互领域的试水虽处早期阶段，但已创收"数千万美元"。微软还正 大力推进AI在销售、客服和软件工程等各个领域的应用。 与AI捷报并行的，是微软2025年累计1.5万人的裁员——创公司历史记录。今年7月，微软针对销 ...

分析师指出，微软的Azure云平台"增长势头依然强劲"，这不仅支撑了当前的估值，也为公司带来更大 的上行空间。与此同时，投资者正日益将微软视为"软件领域长期的AI赢家"之一。 奥本海默团队将微软的评级上调至"跑赢大盘"（Outperform），并设定目标价为600美元，较周二收盘 价高出约20%。 分析师称，微软的AI业务正经历"持续而强劲的增长"，但这一趋势尚未充分反映在当前股价中。此 外，他们认为，微软的Azure云计算业务在2026财年有望实现增长的重新加速，这一点同样未被市场充 分定价。 "这可能会导致部署受限，AI技术支出增长显著放缓，"分析师表示，Azure的使用情况和财务表现也将 受到影响，从而损害微软作为AI领军者的市场形象。 微软(MSFT.O)的股票在本周三被奥本海默的分析师上调评级。他们表示，随着微软云业务的持续扩 张，市场对其人工智能收入的投资热情将进一步升温。 他们进一步指出，微软是软件行业中极少数能够实现"Rule of 60"（60法则）且具有前所未有规模的公 司。"60法则"是指公司营收增长率与息税折旧摊销前利润率（EBITDA Margin）之和达到60。分析师表 示，这一业 ...

微软去年通过AI工具在客服中心节省超5亿美元成本，销售人员使用Copilot实现营收增长9%，新产品35%代码由AI生 成。同时，公司今年累计裁员1.5万人创历史记录，同期AI基础设施投入激增至800亿美元。在AI转型期，微软面临着降 本增效与资本重压的双重挑战。 硬·AI 作者 | 龙 玥 尽管如此，微软销售主管Travis Walter在周一的会议上表示，他负责的业务部门在截至6月30日的季度中 表现强劲，Azure云服务销售和AI Copilot产品销售均超过季度目标。 微软还正在重组销售团队结构，将向客户推介的"解决方案领域"从六个简化为三个：包括Copilot和Office 365的商业解决方案、Azure云服务和网络安全。这一调整旨在减少客户接触的销售人员数量，更有效地 推销AI产品。 编辑 | 硬 AI 一边是AI工具年省5亿美元成本、销售效率跃升9%，一边是史上最大规模裁员与800亿美元AI基建投入 ——科技巨头微软正深陷增效与资本压力的双重漩涡。 据彭博7月10日援引知情人士消息，本周，微软首席商务官Judson Althoff在内部演讲中透露，2024年， AI工具在微软客服中心实现超5亿 ...

一边是AI工具年省5亿美元成本、销售效率跃升9%，一边是史上最大规模裁员与800亿美元AI基建投入 ——科技巨头微软正深陷增效与资本压力的双重漩涡。 据彭博7月10日援引知情人士消息，本周，微软首席商务官Judson Althoff在内部演讲中透露，2024年， AI工具在微软客服中心实现超5亿美元成本节约，同时提升了员工与客户的满意度。Althoff强调，通过 使用微软的Copilot AI助手，每位销售人员都能找到更多潜在客户、更快完成交易，并实现9%的营收增 长。 留任者的AI生存法则 对于留任员工，微软管理层正强力推动AI工具普及。据The Information报道，三名销售员工证实，部分 经理已将AI使用率纳入绩效考核，在过去一个月的绩效评估中表彰使用AI工具的员工。 一些销售经理还举办AI使用竞赛，鼓励员工展示提高生产力的新方法，获胜者可获得50美元礼品卡。 Walter在会议上敦促员工："我们都需要使用AI工具，这是投资自己AI技能的绝佳机会。" 同时，Althoff称，AI在小客户交互领域的试水虽处早期阶段，但已创收"数千万美元"。微软还正大力推 进AI在销售、客服和软件工程等各个领域的应用 ...

Core Insights - Microsoft has adopted a unique strategy in the AI era by focusing on monetizing AI capabilities without developing foundational models, resulting in a market capitalization increase from $2 trillion to $3 trillion in three years [1] - The concept of a "future company" is defined as a human-machine hybrid organization that allows humans to focus on creativity while AI handles routine tasks [3][4] - The integration of AI into Microsoft 365 aims to address the "modern work digital dilemma," where 60% of work time is spent on routine tasks, leaving only 40% for deep thinking and value creation [2] Group 1: Microsoft's Vision for Future Companies - Microsoft envisions a future where AI acts as a colleague, enhancing productivity by allowing humans to concentrate on creative tasks [3] - The company is leveraging insights from neuroscience to reshape the relationship between humans and work, creating a new organizational structure that integrates AI as a core asset [3][4] Group 2: AI Colleagues and Their Capabilities - Microsoft has introduced AI colleagues with five core functions: chat, search, note-taking, design, and intelligent execution, transforming AI from a standalone tool into an omnipresent work partner [6][7] - These AI colleagues can perform complex tasks such as deep multi-step reasoning and cross-domain information integration, significantly enhancing productivity [7] Group 3: Milestones in AI Integration - Key milestones in Microsoft's AI integration include embedding AI capabilities into Office applications, enhancing hardware specifications for AI processing, and developing a comprehensive AI ecosystem [8][9] - The timeline outlines the evolution from initial integration in 2023 to the establishment of an AI agent store and the ability for enterprises to train their own AI agents by 2025 [8] Group 4: Building an AI Agent Network - Microsoft is constructing an "agent network" that facilitates seamless collaboration between AI and humans across various applications, enhancing organizational efficiency [10][11] - This network aims to support complex problem-solving and improve productivity by allowing AI agents to communicate and share knowledge within the organization [10] Group 5: Commercialization Strategy - Microsoft's approach to AI commercialization involves three stages: offering models as a service, embedding AI into products, and creating an ecosystem for third-party agents [12][13] - The company is transitioning from a model of selling APIs to building a comprehensive ecosystem that includes various AI functionalities and third-party integrations [12][13] Group 6: Organizational Transformation through AI - The integration of AI into business processes is seen as a transformative force, reshaping how organizations operate and interact with technology [21][22] - Companies are encouraged to measure AI usage as a key performance indicator, reflecting the importance of human-agent collaboration in driving productivity [22][23] Group 7: Future Implications - The evolution of AI in the workplace suggests that the true winners will be those who can harmonize technology, talent, processes, and organizational structures [24] - The concept of "human-agent ratio" is emerging as a critical metric for companies to assess their AI strategies and enhance competitive advantage [24]

Core Viewpoint - Nvidia and Microsoft are approaching a market capitalization of $4 trillion, driven by the surge in AI demand and technology integration [1][3]. Group 1: Nvidia's Performance and Risks - Nvidia's revenue has increased over tenfold in the past three years, with an expected annual growth rate of 32% over the next three years [5]. - The company's success is heavily reliant on the AI boom, positioning it as a crucial hardware supplier in the AI value chain [4]. - However, Nvidia faces binary risks; if AI demand does not meet expectations or if technological breakthroughs diminish the necessity of its chips, the company could quickly lose its competitive edge [6]. Group 2: Microsoft's AI Strategy and Challenges - Microsoft's AI growth story is more complex, with its Azure cloud computing division's AI services generating approximately $11.5 billion in the last fiscal year, representing over 100% growth but only 4% of total revenue [7]. - The company is under internal pressure, having recently announced layoffs of 9,000 employees following a previous reduction of 6,000 positions [8]. - Microsoft lags behind other tech giants in employee efficiency, needing to cut 84,000 jobs to match Alphabet's efficiency levels [9]. - There are emerging tensions in Microsoft's partnership with OpenAI, particularly regarding the terms of their $10 billion collaboration, which may impact Microsoft's AI strategy significantly [10].

Core Insights - The market capitalization of Microsoft and Nvidia is approaching $4 trillion, driven by the AI frenzy, with Nvidia at $3.89 trillion and Microsoft at $3.71 trillion [1] Group 1: Nvidia - Nvidia's market capitalization reached $3.89 trillion, with a significant increase of 26.63% over the past year [2][3] - The company's sales have surged over tenfold in the past three years, and it is expected to maintain an annual growth rate of 32% over the next three years [7][8] - Nvidia's business model heavily relies on AI demand, posing a binary risk if AI demand does not meet expectations or if technological breakthroughs diminish the necessity of its chips [8] Group 2: Microsoft - Microsoft's market capitalization stands at $3.71 trillion, with a 6.69% increase over the past year [4][5] - The Azure cloud computing division's AI services generated approximately $11.5 billion in revenue for the last fiscal year, reflecting over 100% year-on-year growth, but this only accounts for 4% of the company's total revenue [9] - Microsoft faces internal operational pressures, including recent layoffs of 9,000 employees, and has a significant gap in employee efficiency compared to competitors like Google [9] - There are emerging tensions in Microsoft's partnership with OpenAI, particularly regarding the terms of their $100 billion collaboration, which may impact Microsoft's AI strategy [10]

英伟达和微软正接近成为4万亿美元公司，然而，两家巨头所代表的AI投资逻辑却截然不同——一个是对核心基础设施的 直接押注，另一个则是对应用生态普及的长期信念。 硬·AI 作者 | 张雅绮 编辑 | 硬 AI 在人工智能革命的推动下，微软与英伟达正双双冲向4万亿美元市值的巅峰，有望组成股票市场上最顶级的 俱乐部。 然而，尽管目标一致，两家巨头所代表的AI投资逻辑却截然不同—— 一个是对核心基础设施的直接押注， 另一个则是对应用生态普及的长期信念。 英伟达的价值飙升，源于其在AI价值链中的独特地位。作为AI"军备竞赛"的"军火商"，任何希望涉足AI领域 的公司都必须首先采购其芯片， 这使得英伟达的增长故事简单而直接。 相比之下，微软的路径更为复杂，其AI业务的回报也显得更为"模糊"。作为一家年收入远超英伟达的庞大企 业，微软的成功最终取决于是否有足够多的企业和消费者愿意为其AI增强服务支付溢价。 而微软则扮演着"服务商"的角色 。它的赌注在于，将AI技术深度融入其庞大的产品矩阵（如Azure云服务、 Office办公软件等），并说服用户为此付费。要实现这一目标，AI必须成为像几十年前的Windows操作系统 或Wo ...

而微软则扮演着"服务商"的角色。它的赌注在于，将AI技术深度融入其庞大的产品矩阵（如Azure云服 务、Office办公软件等），并说服用户为此付费。要实现这一目标，AI必须成为像几十年前的Windows 操作系统或Word软件一样，彻底改变企业运作和日常生活的颠覆性工具。许多人认为这只是时间问 题，但"何时"实现，对于支撑微软当前的高昂估值至关重要。 微软的烦恼：高估值下的内部挑战 在人工智能革命的推动下，微软与英伟达正双双冲向4万亿美元市值的巅峰，有望组成股票市场上最顶 级的俱乐部。 然而，尽管目标一致，两家巨头所代表的AI投资逻辑却截然不同——一个是对核心基础设施的直接押 注，另一个则是对应用生态普及的长期信念。 英伟达的价值飙升，源于其在AI价值链中的独特地位。作为AI"军备竞赛"的"军火商"，任何希望涉足AI 领域的公司都必须首先采购其芯片，这使得英伟达的增长故事简单而直接。 相比之下，微软的路径更为复杂，其AI业务的回报也显得更为"模糊"。作为一家年收入远超英伟达的庞 大企业，微软的成功最终取决于是否有足够多的企业和消费者愿意为其AI增强服务支付溢价。 对微软而言，微软在不到三个月内市值增长了1万 ...

来源：环球网 【环球网科技综合报道】据外媒7月4日报道，微软本周宣布启动大规模裁员计划，全球范围内将削减 9000个岗位，其中位于其总部所在地华盛顿州的830名员工率先受到影响。此次裁员涉及游戏设计、音 频工程、硬件研发等多个部门，折射出这家科技巨头在业务调整与成本管控中的深层考量。 外媒指出， 尽管微软2025年第一季度财报显示整体收入增长13%，但Xbox内容与服务收入仅增长8%，显著低于公 司平均水平。分析指出，游戏业务增速放缓或成为此次裁员的重要导火索。与此同时，作为微软核心增 长引擎的Azure云服务，其收入虽保持增长，但增速较往年已现颓势。 微软在公告中强调，裁员旨在 该公司 CEO萨蒂亚·纳德拉近年推动的 " 技术赋能 " 战略一脉相承。然而，公司尚未公布具体的技术转型路线图，裁员是否真能推动效率提升仍存疑问。 " 消除冗余，鼓励员工采用新技术 " 。这一表述与 " ，未对具体调整计划作出说明。 据媒体报道，这并非微软今年首次大规模裁员。早在今年5月，微软就已宣布在全球范围内裁员约6000 人，约占其员工总数的3%。根据微软向华盛顿州就业官员提交的通知，6月该公司还在华盛顿州雷德蒙 德总部裁员3 ...