软件工程独占了49.7%的智能体工具调用量，像一根拔地而起的烟囱。 剩下的16个垂直行业——医疗、法律、金融、教育、客服、物流，每一个的份额都是个位数：医疗1%。法律0.9%。教育1.8%，没有任何一个超过9%。 Y Combinator的CEO陈嘉兴（Garry Tan）盯着这张图，得出了一个让很多创业者坐不住的结论：那片几乎空白的区域，藏着下一代300个独角兽。 他的原话更直白：「如果我今天创业，我会盯着那张柱状图上那一大片红色区域，直到从中看到自己的未来。」 Anthropic最新报告揭示，AI智能体近半数使用量集中在软件工程，其余16个垂直行业各占不到9%。AI已具备连续工作5小时的能力，但用户目前最多只 让它跑42分钟，信任远未跟上技术。Y Combinator CEO陈嘉兴断言：这片几乎空白的行业版图里，藏着下一代300个独角兽。 你所在的行业，可能还没见过哪怕一分钟的AI智能体。 这个事实本身蕴含着巨大的机会。 2026年2月18日，Anthropic发布了一份关于AI智能体实际使用情况的大规模研究报告（报告：https://anthropic.com/research/measuring-ag ...

【新智元导读】 Anthropic最新报告揭示，AI智能体近半数使用量集中在软件工程，其余16个垂直行业各占不到9%。AI已具备连续工作5小时的能力，但用户目 前最多只让它跑42分钟，信任远未跟上技术。Y Combinator CEO陈嘉兴断言：这片几乎空白的行业版图里，藏着下一代300个独角兽。 你所在的行业，可能还没见过哪怕一分钟的AI智能体。 这个事实本身蕴含着巨大的机会。 2026年2月18日，Anthropic发布了一份关于AI智能体实际使用情况的大规模研究报告（报告：https://anthropic.com/research/measuring-agent-autonomy）， 分析对象是其公共API上数百万次真实的人机交互。 报告的核心发现可以浓缩成一张柱状图。 软件工程独占了49.7%的智能体工具调用量，像一根拔地而起的烟囱。 剩下的16个垂直行业——医疗、法律、金融、教育、客服、物流，每一个的份额都是个位数：医疗1%。法律0.9%。教育1.8%，没有任何一个超过9%。 Y Combinator的CEO陈嘉兴（Garry Tan）盯着这张图，得出了一个让很多创业者坐不住的结论：那片几乎空白的 ...

Group 1: AI Capabilities and Paradigms - Vertical AI is transitioning from information retrieval to "multi-agent mode," enabling unprecedented growth in industries like healthcare, legal, and housing, with companies achieving over $100 million in annual revenue [2] - By 2026, vertical AI will unlock "multi-agent mode," allowing for collaboration across various roles in industries, enhancing efficiency and understanding of complex workflows [3] - The emergence of "Agent-native" infrastructure will be crucial, as systems evolve to handle intelligent agent-driven workloads, requiring a redesign of control planes to manage high-frequency tool calls and complex concurrency [6][7] Group 2: Education and Talent Development - The first AI-native university is expected to emerge by 2026, focusing on real-time learning and self-optimizing educational systems, with courses and academic guidance adapting based on data feedback [4][5] - This AI-native university will train graduates proficient in system orchestration, addressing the talent gap in the new economy [5] Group 3: Content Creation and Media - 2026 is anticipated to be a pivotal year for multi-modal content creation, where AI can generate and edit content across various formats, enhancing creative control for users [8][9] - Video content will evolve into interactive environments, allowing for dynamic storytelling and user engagement, blurring the lines between creator and audience [10] Group 4: AI in Business Operations - The traditional metric of "screen time" as a value delivery indicator will be replaced by more complex ROI measures, focusing on outcomes rather than usage time [11] - Companies will increasingly adopt multi-agent systems to manage complex workflows, leading to a rethinking of organizational structures and roles [19][20] Group 5: Consumer AI and Personalization - Consumer-grade AI products will shift from productivity tools to enhancing personal connections and self-awareness, with a focus on understanding users' complete life contexts [21] - The trend towards personalized products will redefine how companies approach consumer engagement, moving from mass production to individualized experiences [13] Group 6: Research and Development - AI will play a significant role in accelerating scientific discovery through autonomous laboratories capable of conducting experiments and iterating research directions [15] - The integration of AI in research workflows will foster a new style of inquiry, emphasizing the relationships between ideas and enabling novel discoveries [22][23] Group 7: Data Privacy and Security - The need for transparent and auditable data access controls will become critical as AI systems operate autonomously, necessitating a shift towards "secrets as a service" to protect sensitive information [25] Group 8: Startup Ecosystem - A new wave of startups will emerge, focusing on providing services to newly established companies, leveraging the current AI product cycle to achieve scalability [26]

Group 1 - The core theme of the World Economic Forum (WEF) 2026 is the collective "cold reflection" among global business leaders regarding the return on investment (ROI) from AI, shifting from previous enthusiasm to a focus on quantifiable and sustainable business returns [2] - According to PwC's survey, only 30% of global CEOs are optimistic about revenue growth in 2026, marking a new low in recent years, indicating a shift from "invest at all costs" to "cautiously assess outputs" [3] - The pressure is shifting from capital expenditures (CapEx) to operational expenditures (OpEx), with the market now demanding proof of efficiency in AI investments and their conversion into profits [3][4] Group 2 - The decline of "AGI premium" and the rise of "efficiency premium" are noted, as capital begins to favor companies that demonstrate tangible performance over those relying on the potential of general artificial intelligence [4] - Over 80% of surveyed CEOs increased investments in AI infrastructure and talent in the past year, yet less than 15% believe these investments have led to significant, quantifiable revenue growth [5] - Major obstacles to converting AI investments into ROI include insufficient data governance (55%), lack of strategic integration of AI into core business processes (48%), and skills gaps (42%) [5] Group 3 - The valuation logic is undergoing a transformation, with a shift from a focus on model parameters and funding during the AI frenzy (2024-2025) to customer retention and unit economics in the awakening phase (2026) [6] - Vertical AI is emerging as a "safe haven" for capital, as these solutions have clear application scenarios and data boundaries, making it easier to demonstrate ROI [6] - The WEF announced new MINDS pioneer companies focusing on high-impact AI solutions in vertical fields such as healthcare and energy optimization, reflecting a shift towards targeted investment strategies [6] Group 4 - To bridge the gap between "potential" and "performance," companies are encouraged to redesign human-machine collaboration and strengthen data governance as strategic priorities [8][9] - Successful AI expansion relies on high-quality, well-governed data, as well as responsible AI governance to mitigate legal and reputational risks [8] - The 2026 WEF marks the maturity phase of AI investment, where the market demands tangible business value rather than grand narratives about AGI [9] Group 5 - AI applications in healthcare can directly quantify improvements in physician efficiency and reduced misdiagnosis rates, with examples including companies like Baichuan and Senyi [10] - In the energy sector, AI can optimize grid scheduling, leading to reduced energy losses and operational cost savings, as seen in companies like Damou Intelligent and Yuanjing Intelligent [10] - AI should be integrated into core business workflows as a "co-pilot," and investment in employee retraining for AI skills is essential for effective collaboration [11]

清晨，李伟一觉醒来，感到头晕乏力。 他打开手机，向AQ描述了自己的不适。这个AI健康助手结合他的饮食、睡眠和近期活动，给出了可能 的原因分析和调整建议。李伟还是有些担心，毕竟头晕持续两天了，阿福像医生一样追问了更多的细 节，推荐了几项在家可做的初步检查，并主动提醒：如果持续不适，建议尽快去医院。 几分钟后，李伟的心情渐渐安定下来——他知道，自己有一个随时在线的"AI医生朋友"。 过去几个月，像李伟这样依赖AI健康应用的用户正在快速增长。 12月15日，蚂蚁集团旗下AI健康应用AQ宣布品牌全面升级，正式更名为"蚂蚁阿福"，产品完成从医疗 到健康、从工具到AI医生朋友的全新迭代。 同时，用户量实现关键跨越：成为月活突破1500万的行业AI专业应用，稳居AI原生应用榜Top5，也是 目前国内第一大健康管理AI应用。市场热度也印证了其增长势头。根据苹果App Store最新数据显示， 蚂蚁阿福已爬升至App下载榜第六位,与豆包等一同跻身下载榜前列。 01 从一个问答工具，到更懂你且专业的"AI健康朋友" "我们不再只做一个'回答问题的机器人'。"蚂蚁集团副总裁、蚂蚁健康事业群总裁张俊杰这样描述产品 的进化。取名"阿福 ...

Core Viewpoint - The article discusses the transformation of Ant Group's AI health application from a simple tool to a comprehensive health companion named "Ant Fu," which has gained significant user traction and market presence in the health management sector [3][6][13]. User Growth and Market Position - Ant Fu has achieved over 15 million monthly active users, making it the leading AI health management application in China and ranking sixth in the App Store download chart [3][5]. - The rapid increase in users reflects a growing reliance on AI health applications, indicating a shift towards proactive health management [4]. Product Features and Innovations - Ant Fu offers three main functionalities: health companionship, health Q&A, and health services, creating an all-encompassing AI health partner [7]. - The application integrates with various smart devices to track health metrics and provides personalized health plans through features like "small diary," "small goals," and "small reminders" [7]. - Ant Fu supports multiple inquiry methods, including text, voice, and image recognition, achieving over 95% accuracy in interpreting health-related queries [10][11]. Strategic Positioning and Market Demand - The application aligns with the increasing demand for health management solutions as China faces an aging population and a shift towards proactive health care [13]. - Ant Fu benefits from favorable policies, such as the "Healthy China 2030" initiative, which emphasizes accessible health resources for all citizens [13]. Competitive Advantage and Team Expertise - Ant Group's extensive experience in the health sector, including a user base of over 800 million from its "medical insurance code" service, provides a strong foundation for trust and reliability in health services [13][14]. - The team behind Ant Fu consists of 60% professionals with medical backgrounds, ensuring compliance and expertise in product development [14]. Societal Impact and Future Directions - Ant Fu's model demonstrates a shift in AI industry competition from general capabilities to addressing specific health challenges, integrating into public health services [16]. - The application serves as a valuable resource in underserved areas, providing 24/7 health support through smartphones, thus enhancing accessibility to medical advice [15][16].

Core Insights - The current AI industry is at a strategic turning point, with a focus on practical AI tools rather than the distant concept of "super AGI" [1] - A collaboration has been established between Zhouming Technology, Zhiyu AI, and Lingyun Guang to create Shenzhen Zhixian Robotics Co., Ltd., with a registered capital of 50 million yuan [1] - Zhouming Technology's AI transformation will concentrate on customized industry models and applications, targeting vertical fields such as education, healthcare, and security [1] Group 1 - Zhouming Technology's Vice President described the collaboration as combining a "super brain" (Zhiyu), "eyes" (Yuan Keshijie), and "body" (Zhouming) to upgrade display terminals from mere information carriers to intelligent entities [2] - The joint venture aims to provide an integrated solution of "algorithm models + hardware terminals + perceptual interaction," supporting the full chain from model training to hardware integration [2] - The focus for B-end clients is on the applicability of AI solutions rather than the strength of the models, emphasizing the need for industry-specific data and targeted model development [2] Group 2 - Zhouming Technology aims to develop deep vertical AI rather than broad general AI, requiring integration with clients' business knowledge to generate industry-specific content [3] - The company's screens serve as central terminals for data accumulation, allowing for precise matching of B-end and G-end needs [3] - Zhouming is also building capabilities for C-end markets, planning to establish joint ventures with companies that have C-end expertise [3] Group 3 - The AI business has become a significant growth driver for Zhouming, with recent AI revenue surpassing the total from the previous year, indicating a successful transition [3] - AI solutions offer higher profit margins compared to traditional screen sales, helping Zhouming navigate the competitive price war in the traditional screen market [3] - The key to AI commercialization is understanding industry pain points and ensuring that technology is grounded in real-world applications [4]

Core Insights - Legora is rapidly growing in the legal tech sector, having expanded from Europe to the US and partnered with 250 law firms, including top firms like Cleary Gottlieb and Goodwin [1][2] - The company recently raised $80 million in Series B funding, achieving a valuation of $675 million, positioning itself as a strong competitor to Harvey [2] - The founder, Max Junestrand, emphasizes the importance of humility and collaboration with early partners to navigate the rapidly changing legal industry [3] Product Overview - Legora's product consists of a web application and a Word plugin, integrating AI functionalities into Microsoft Word [4] - The web application has evolved from a simple chat feature to a sophisticated intelligent agent capable of managing complex workflows [5][6] - The "Tabular Review" feature allows users to input multiple documents and queries for simultaneous processing, addressing the complexities of legal documents [9][10] Sales Strategy - Legora adopts a "win-win" approach in sales, positioning itself as a long-term partner for law firms needing to adopt new technologies [18][20] - The company recognizes that many legal services are similar, leading to price pressures and a need for efficiency, which drives firms to adopt new technologies [21][22] - Law firms are motivated to become leaders in adopting technology to maintain their competitive edge [23][24] Competitive Landscape - Legora competes with established legal tech companies but believes that the rapid pace of AI development allows it to outpace larger firms in product delivery [41][44] - The company has successfully built a team of around 100 employees, significantly increasing its development speed compared to larger competitors [45][46] - Law firms are increasingly reluctant to commit to long-term contracts, preferring shorter agreements that allow for flexibility in technology adoption [46][47] Future Outlook - The role of lawyers is expected to shift towards being reviewers rather than executors, managing AI outputs and ensuring quality [51][52] - The company aims to be a strategic partner for law firms, helping them navigate the transformation brought about by AI [61] - Junestrand advises new entrants in the legal tech space to avoid being tied to single suppliers and to find unique niches that AI cannot easily penetrate [63][64] Recruitment and Culture - Legora prioritizes hiring individuals with entrepreneurial backgrounds, fostering a culture of creativity and problem-solving [70][72] - The company has expanded from 10 to 100 employees in a year, emphasizing the importance of hiring proactive team members who can leverage AI for greater efficiency [67][68]

Core Insights - The release of advanced AI models like GPT-5 and DeepSeek-V3.1 signifies a new era in AI, moving from a technology race to practical applications that empower various industries [1][2] - Keep's financial performance demonstrates the successful integration of AI, achieving a revenue of 822 million yuan and a gross profit margin increase from 46.0% to 52.2% [1][6] - The AI market is evolving, with companies like Keep and Duolingo leveraging AI to enhance user experience and meet latent demands, leading to significant business transformations [3][4] Company Performance - Keep reported a net profit of 10.35 million yuan for the first half of 2025, marking a turnaround from previous losses [1][6] - The average monthly active users and subscription members for Keep remained stable at 22.49 million and 2.8 million, respectively, in the first half of 2025 [6] - Keep's stock price increased over 80% in three months, reflecting investor confidence in its AI-driven strategy [6] AI Integration and User Engagement - Keep launched Kinetic.ai, a specialized AI model for the fitness sector, trained on data from 400 million users, enabling personalized workout plans [3][7] - The introduction of AI features has transformed user interaction, with AI-driven functionalities like personalized coaching and dietary tracking showing high retention rates [7][8] - The AI core daily active users exceeded 150,000, with a notable 50% retention rate for the AI dietary tracking feature [7] Market Trends and Strategic Focus - The AI application market is approaching a tipping point, with companies recognizing the need to integrate AI into their core operations for sustainable growth [5][8] - Companies are shifting focus from diversified attempts to a more concentrated strategy on AI, enhancing their competitive edge in specific sectors [8][9] - Keep aims to continue developing professional AI applications in the fitness domain, emphasizing personalized and intelligent service experiences [9][10]

Core Insights - The article discusses the significant advancements in AI technology, particularly with the release of GPT-5 and DeepSeek-V3.1, highlighting the shift in market sentiment towards AI's transformative potential across various industries [1][2] - Keep has reported a substantial increase in revenue and profitability, achieving a revenue of 822 million yuan and a net profit of 10.35 million yuan for the first half of 2025, marking a significant improvement from previous periods [1][6] - The focus of AI applications is shifting from mere technological competition to empowering specific use cases, with companies like Keep leveraging AI to enhance user experience and engagement [3][4] Company Performance - Keep's revenue for the first half of 2025 reached 822 million yuan, with a gross profit of 429 million yuan and a gross margin increase from 46.0% to 52.2% year-on-year [1][6] - The adjusted net profit margin for Keep improved to 1.3%, a significant turnaround from a net loss margin of 15.5% in the same period last year [6] - The average monthly active users and monthly subscription members for Keep remained stable at 22.49 million and 2.8 million, respectively, indicating consistent user engagement [6] AI Integration and Market Trends - The article emphasizes that successful AI applications are not solely based on large models but also on understanding user needs and having relevant data, which enhances business logic and user engagement [3][5] - Keep launched Kinetic.ai, a specialized AI model for the sports and health sector, trained on data from 400 million users, allowing for personalized fitness plans [3][4] - The integration of AI has led to a more interactive user experience, with features like AI coaching that provide tailored fitness guidance and support [4][7] Industry Dynamics - The AI application market is approaching a tipping point, with companies like OpenAI recognizing the need to expand beyond conversational AI to unlock greater commercial value [5][8] - The shift towards vertical AI applications is seen as a way to drive business growth, as companies focus on core competencies and cut low-margin operations [8][9] - Keep's strategy involves a deep integration of AI into its services, aiming to provide personalized, intelligent, and scientific fitness experiences, thereby reshaping its competitive advantage [9][10]