投身于AI从云端训练向端侧推理跃迁的浪潮之中，作为全球AI生态链领先企业的联想集团，已有了破 局进化之道。 2026年2月12日，联想集团（HKSE：992）（ADR：LNVGY）披露2025/26财年第三财季业绩，关键指 标均超市场预期。截至2025年12月31日，集团营收达1575亿人民币，同比增长超过18%；经调整后的净 利润同比增长36%，利润增速更是达到营收增速的两倍。多家投行如摩根士丹利称，毛利率符合市场预 期。在随后召开的业绩发布会上，联想集团董事长兼CEO杨元庆给出承诺：未来的几个季度，都可以继 续保持双位数增长。 同日下午，联想集团高级副总裁兼首席财务官郑孝明（Winston Zheng）接受媒体深度访谈，坦率回应 了市场关注的所有焦点：存储暴涨后的行业分化、AI军备竞赛及生态演化、ISG盈利修复之路等，由此 详解了联想集团的价值重估逻辑。 文/罗茜 当下的全球科技产业，正处于一个深度重构的关键时刻：一边是以存储器为代表的核心元器件，陷入近 乎疯狂的价格暴涨周期；一边是科技巨头们，不计成本地投身关于AI的战略豪赌和军备竞赛。 "我们的估值会从PC-only（仅依赖PC）的估值，转换成一个基于 ...

2026年2月12日，联想集团今日公布截至2025年12月31日的2025/26财年第三财季业绩：集团营收达到 1575亿元人民币，同比增长超过18%；经调整后的净利润同比增长36%，利润增速达到营收增速的两 倍。 具体来看，本财季，联想集团三大业务全部实现双位数增长：IDG智能设备业务集团营收超过1100亿元 人民币，同比增长14.3%，个人电脑销量增速连续十个季度高于市场，推动2025年度市场份额创历史新 高；ISG基础设施方案业务集团营收达到367亿元人民币，同比增长超31%；SSG解决方案与服务业务集 团营收同比增长18%，连续第十九个季度实现双位数增长，同时运营利润率进一步提升至22.5%。 与此同时，AI相关业务已成为联想集团重要增长引擎。第三财季，联想AI相关营收同比增长72%，占集 团总营收比重提升至32%。其中，AI PC营收实现高双位数增长，AI智能手机营收实现三位数增长，AI 服务器营收实现高双位数增长，AI服务营收实现了三位数增长，推动集团业务结构持续向高价值方向 演进。 从更长周期来看，全球AI产业正从以集中训练为主的第一阶段，迈入以推理为核心、更加贴近个人和 企业真实场景的第二阶段 ...

Core Insights - Lenovo Group introduced an AI personal super intelligence agent during its earnings media communication meeting, marking a significant shift in the traditional format of such events [1][2] - The AI agent is capable of processing information, summarizing key points from management speeches, and generating structured meeting minutes, thus enhancing the efficiency and depth of the communication [1][2] - This development reflects Lenovo's broader strategy of advancing a "hybrid AI" approach, integrating cloud models, edge computing, and intelligent applications into a cohesive operational framework [2][3] Group 1 - The AI super intelligence agent is not merely a voice or search tool but a comprehensive information processing entity that can analyze financial data and trends in real-time [1] - The integration of AI in earnings calls signifies a transition from mere information disclosure to information processing and insight generation, improving the quality of communication [2] - The emergence of AI tools capable of executing tasks, such as software development, indicates a shift in AI's role from a supportive tool to a full-fledged executor of workflows [2] Group 2 - The use of AI agents in corporate communications may evolve into a fundamental infrastructure for internal and external interactions, enhancing knowledge management and data analysis [3] - The application of Lenovo's AI agent in the earnings call illustrates its potential as a new productivity tool, capable of executing complete workflows in real business environments [3] - AI is moving beyond conceptual stages into real-world applications, indicating its growing importance in corporate operations and information flow [3]

2026年2月12日，全球AI生态链领先企业联想集团(HKSE：992)(ADR：LNVGY)公布2025/26财年第三财 季业绩：联想集团实现营收1575亿人民币，同比提升超过18%，经调整后净利润同比增长36%；集团三 大业务集团均实现营收与利润双位数增长，多元化增长引擎贡献强劲、均衡的增长动能，成为业绩稳步 攀升的核心动力。 此次三大业务集团的全面增长，是联想集团混合式AI战略系统性落地、能力体系不断外溢的阶段性成 果。在个人智能领域，联想押注"个人AI双胞胎"，以超级智能体构建差异化竞争壁垒。第三财季，联想 正式发布超级智能体联想Qira，标志着构建跨平台、跨设备统一AI终端入口迈出关键一步，预计下个季 度内嵌联想Qira的设备将正式面市。企业智能领域，联想在混合式人工智能优势集的框架下，布局已覆 盖AI应用库、AI技术平台、AI基础设施与AI服务四大层面，持续赋能企业打造企业超级智能体，释放 AI商业价值。 "联想在第三财季交出了一份全面出色的成绩单，各主营业务全部实现双位数强劲增长，人工智能成为 重要的增长引擎。" 联想集团董事长兼CEO杨元庆指出，"展望未来，随着人工智能深度融入个人的日 常生活 ...

Core Insights - The global AI industry is undergoing a critical transition, with generative AI technology creating a complete value chain from upstream computing power to downstream applications, leading to a market capitalization exceeding one trillion for nine companies by February 4, 2026 [1] - Investors are increasingly focused on the commercial viability of AI, shifting from "technological possibilities" to "business certainties," as evidenced by recent earnings reports from major companies like Nvidia, AMD, Microsoft, Meta, and Google [2] - Lenovo is positioned as a key player in the AI value chain, serving as a critical link between computing power, models, and physical AI applications, making its performance a barometer for AI investment sustainability [3][5] Industry Dynamics - The AI industry is evolving from a training-driven phase to one focused on inference and deployment, with terminal devices, edge computing, and solution services becoming the forefront of value realization [3][12] - The importance of the entry and deployment layer has increased significantly, as it addresses the practical questions of who is using AI and whether they are willing to pay for it [5][11] - The shift in focus from cloud data centers to on-site enterprise and edge nodes indicates a change in business logic, emphasizing the need for cost-effective AI delivery closer to users [5][11] Lenovo's Strategic Importance - Lenovo's role as a "physical world AI integrator" distinguishes it from other AI companies, as it does not compete directly in model capabilities but instead focuses on delivering scalable products and solutions that make AI accessible [6][11] - The company's mixed AI strategy, which spans both consumer and enterprise segments, is seen as a critical indicator of AI's transition from concept to large-scale implementation [6][9] - Investors are particularly interested in whether Lenovo's financial results can validate its long-term strategy and whether its AI initiatives are translating into sustainable revenue streams [8][9] Market Expectations - Investors are looking for Lenovo's Q3 FY25/26 results to provide insights into the company's ability to convert its AI strategy into verifiable financial outcomes, beyond just seasonal revenue fluctuations [8][9] - Key areas of focus include the scalability of edge AI and hybrid AI revenue sources, the profitability of server and infrastructure business, and the company's ability to maintain margins amid rising component costs [9][12] - The performance of Lenovo's earnings report is expected to serve as a significant benchmark for assessing the maturity of AI commercialization within the broader industry [12]

Core Insights - The report indicates that enterprises are increasingly optimistic about the return on AI investments, with a potential return rate of up to 179% as Agentic AI becomes more widely adopted [2][3] - Despite the high expectations, there is a significant gap in AI readiness among organizations, with only 27% having established a robust AI governance framework [2][3] - The transition from Generative AI to Agentic AI is anticipated to occur by 2026, with Agentic AI expected to become the primary focus for CIOs [7][9] Investment Expectations - Enterprises expect AI investments to yield substantial returns, with nearly half (46%) of AI proof-of-concept projects successfully moving into production [3] - A majority (96%) of respondents plan to increase AI investments in the next 12 months, with an average growth rate of 13% [3][11] AI Readiness and Governance - While 60% of organizations believe they are in the mid-to-late stages of AI application, only 27% have a well-established AI governance framework [6][11] - The lack of data quality, skilled personnel, and organizational collaboration is widening the gap between AI aspirations and reality [6] Deployment Trends - Hybrid AI is becoming the preferred deployment model, with 62% of surveyed enterprises choosing it as their main architecture [2][7] - Currently, only 21% of CIOs have deployed Agentic AI in actual business operations, with over half (55%) still in exploratory or pilot phases [2][7] Infrastructure and Support - The successful implementation of Agentic AI will depend on organizations' long-term capabilities, including secure and efficient infrastructure and flexible hybrid architectures [9][11] - Lenovo is introducing solutions to help enterprises transition from pilot projects to scalable AI applications, emphasizing the importance of governance frameworks [11][12] Future Outlook - The role of AI is evolving from a supportive tool to a production entity, necessitating advanced reasoning capabilities and low-latency feedback [7][9] - AI PCs and edge devices are becoming critical components in enterprise AI strategies, directly empowering employees and ensuring business process security [10]

Core Insights - Lenovo has been recognized as one of the "World's Most Admired Companies" for the eighth consecutive year, reflecting its AI innovation and global competitiveness [1][10] - The "World's Most Admired Companies" list, established in 1997, serves as a benchmark for corporate reputation, evaluated by approximately 3,000 executives and analysts across various dimensions [1][10] - AI is identified as a key factor influencing the rankings, with companies like Nvidia and AMD seeing significant improvements due to their AI-related advantages [1][10] Company Performance - Lenovo's hybrid AI strategy, which integrates personal, enterprise, and public intelligence, aims to democratize AI and enhance user experience [3][12] - At CES 2026, Lenovo showcased its hybrid AI strategy, including the global personal super-intelligent agent Lenovo Qira and partnerships with Nvidia for AI cloud infrastructure [3][12] - Lenovo is the official technology partner for the 2026 FIFA World Cup, focusing on enhancing event operations and fan experiences through advanced technology [4][13] Market Position - Lenovo leads the global PC market with a 26.1% market share in Q4 2025, marking a historical high, and maintains a 25.4% share for the entire year [4][14] - The company's efficient global supply chain operations contribute to its market leadership, ranking eighth in the Gartner Top 25 global supply chain list [4][14] - Lenovo is expanding its presence in emerging markets, establishing a regional headquarters in Riyadh, Saudi Arabia, to enhance service capabilities [6][15] ESG and Brand Recognition - Lenovo has received the highest MSCI ESG rating of AAA for four consecutive years and has been awarded multiple honors for its sustainability efforts [6][15] - The company ranked first in the Ipsos "2025 China Brand Global Trust Index," reaffirming its status as the most trusted Chinese brand globally [8][17] - Lenovo was also recognized as one of the "Best Companies for Women" by Forbes, highlighting its commitment to building an inclusive workplace [8][17]

Core Insights - Lenovo has launched the "LeXiang No.1" initiative, which is part of its response to national consumption promotion policies, aiming to explore new AI-enabled consumption models and scenarios [3][4] - The initiative has successfully reached over 100 Lenovo offline stores across 20 provinces in China, significantly enhancing customer engagement and sales performance [3][4] Group 1: Initiative Overview - The "LeXiang No.1" robot has played a crucial role in enhancing customer service and attracting foot traffic to Lenovo stores, resulting in a 109% increase in customer visits and an 80% increase in retail sales for participating stores since June of the previous year [3] - The robot provides various services, including product consultation, promotional inquiries, after-sales support, and entertainment interactions, with service distribution being 50%, 25%, 10%, and 15% respectively [3] Group 2: Performance Metrics - The total exposure for the "LeXiang No.1" initiative reached 860 million, with social media topic reading volume at 770 million [3] - The AI system behind the robot demonstrated high stability with a 99.9% system stability rate and an average response time of less than 2 seconds per interaction, receiving a high consumer satisfaction rating of 4.95 out of 5 [3] Group 3: Financial Impact - Since its launch, the "LeXiang" initiative has generated over 2 billion yuan in revenue, accounting for 32% of Lenovo's official website revenue during the last "Double Eleven" shopping festival [4] - The initiative supports over 1 million daily interaction requests, with a 270% increase in user weekly activity and a 23% improvement in order conversion rates [4]

Core Insights - Lenovo's "LeXiang No.1" robot has been actively engaging consumers in physical stores, showcasing its capabilities through performances and interactive sessions, which has attracted significant attention and foot traffic [1][4][5] Group 1: Event and Launch - The opening of the new Lenovo experience store in Nanjing featured a robot Tai Chi performance, drawing crowds and media attention [1] - The "LeXiang No.1" robot is part of Lenovo's "LeXiang No.1 Hundred Store Tour," which has reached 100 stores across 20 provinces in China over seven months [2] Group 2: Consumer Engagement and Sales Impact - The "LeXiang No.1" robot has significantly enhanced customer engagement, with a reported 109% increase in foot traffic and an 80% rise in retail sales at participating stores since June [4] - The robot provides various services, including product inquiries (50%), promotional activity queries (25%), after-sales support (10%), and entertainment interactions (15%) [5] Group 3: AI Integration and Performance - Lenovo's AI system behind the "LeXiang No.1" robot has demonstrated high stability with a 99.9% system uptime and an average response time of less than 2 seconds during interactions [5] - The "LeXiang" AI has generated over 2 billion yuan in revenue since its launch, contributing 32% of the official website's income during the last "Double Eleven" shopping festival [6] Group 4: Strategic Direction - Lenovo has adopted a hybrid AI strategy, focusing on both personal and enterprise AI, with the "LeXiang No.1" robot being a key component of this initiative [6]

Group 1 - Keda Xunfei's Chairman Liu Qingfeng stated that the domestic AI infrastructure has taken initial shape, with domestic large models matching international standards despite having half the parameters [2] - Michael Burry warned that the era of tech giants earning huge profits with minimal investment is ending, primarily due to AI, and investors should focus on Return on Invested Capital (ROIC) rather than revenue growth [3] - A BlackRock survey revealed that while investors are optimistic about AI, they are shifting their focus to energy and infrastructure suppliers, with only one-fifth considering large US tech companies as attractive investment opportunities [4] Group 2 - Demis Hassabis, CEO of Google DeepMind, indicated that Chinese AI models are only a few months behind those in the US and have made significant advancements in the past year [5] - DeepSeek released a new paper on conditional memory, significantly improving model performance in various tasks, and has open-sourced a related memory module [6] - Baichuan Intelligence's CEO Wang Xiaochuan mentioned that the company has 3 billion yuan on hand and may initiate an IPO plan in 2027 [7] Group 3 - Zhiyun and Huawei have open-sourced a new image generation model, GLM-Image, which is the first SOTA multimodal model trained entirely on domestic chips [8] - Kuaishou Technology announced that Keling AI's revenue exceeded $20 million in December 2025, with an annual recurring revenue (ARR) of $240 million [9] - Yongyou Network expects a net loss of 1.3 to 1.39 billion yuan for 2025, a reduction in loss compared to the previous year [10] Group 4 - JD.com and Lenovo deepened their "hybrid AI" cooperation, launching new products at CES 2026, with a focus on strategic collaboration around smart devices and services [11] - Alibaba's Qianwen app has integrated with various Alibaba ecosystem services, allowing users to perform complex tasks like ordering food and booking flights [12] - Alipay and partners launched China's first AI commercial agreement, ACT, designed to facilitate collaboration between AI and e-commerce platforms [13] Group 5 - Yunhai Medical released the "YunJian AI Spirit," a product that reduces long-term costs for users of infrared medical technology [14] - Zhiyuan purchased thousands of hours of robot training data for various tasks [15] - Meituan launched the open-source "ReThink" model, which significantly reduces training costs for new tools in real-world scenarios [16] Group 6 - Teslin introduced the upgraded T-Cluster 512 super node architecture, achieving over 500 PFlops of total computing power [17] - Keda Xunfei launched a marketing AI platform based on the "SuperAgent" framework to enhance efficiency in marketing strategies [18] - The first domestically trained text-to-image model, GLM-Image, was released by Zhiyun and Huawei [19] Group 7 - Tencent Cloud ADP launched the first "AI native Widget," enhancing task delivery experiences through natural language interaction [20][21] - Anthropic implemented stricter measures that disrupted several AI programming tools, affecting developers' projects [22] - Google announced a partnership with Walmart to expand AI model shopping capabilities, allowing direct transactions through its AI assistant [23] Group 8 - Mark Zuckerberg announced the "Meta Compute" project, aiming to build substantial AI infrastructure by 2030, while also planning layoffs in the Reality Labs department [24][29] - Alphabet's market value surpassed $4 trillion, joining a select group of companies [25] - Google and Apple finalized a multi-year AI collaboration agreement to support Siri with Google's AI technology [26] Group 9 - Nvidia and Eli Lilly plan to invest $1 billion in an AI drug lab over the next five years [27] - The US relaxed export controls on Nvidia's H200 chips to China [28] - Microsoft announced a plan to limit the impact of data center energy costs and water usage [30] Group 10 - Gemini launched personal smart products that allow users to personalize their experience through connected applications [31] - Microsoft is expected to spend $500 million on AI initiatives, including partnerships with Anthropic [32] - OpenAI is seeking US hardware suppliers for its planned consumer devices and robotics expansion [33] Group 11 - Elon Musk's lawsuit against OpenAI is set to go to trial in late April [34][35] - OpenAI and Cerebras announced a partnership worth over $10 billion to deploy a large-scale AI inference platform [36] - Zhi Variable Robotics completed a 1 billion yuan A++ round of financing, attracting investments from major firms [37] Group 12 - Qiangna Technology submitted a confidential IPO application in Hong Kong [38] - OpenAI acquired the AI health application Torch for approximately $100 million [39] - K2 Lab, founded by a former DingTalk executive, secured seed funding for its AI-driven content e-commerce platform [40] Group 13 - Alibaba Cloud completed a strategic investment in ZStack, achieving a controlling stake [41] - Skild AI raised nearly $1.4 billion, reaching a valuation of over $14 billion [42] - WeLab completed a $220 million D-round financing, marking its largest single round to date [43] Group 14 - Merge Labs, a brain-machine interface startup, raised $252 million in seed funding, with OpenAI as a major investor [44] Group 15 - A report indicated that by 2026, the Chinese tech giants index is expected to surpass the US tech giants in profitability growth for the first time since 2022 [45] - China is accelerating the establishment of a data property registration system [46] - A report predicted a significant increase in storage prices due to rising demand from AI and server capacity [47] Group 16 - A new AI model developed by US researchers can predict the risk of about 130 diseases based on sleep data [48] - Foreign investment firms are increasingly incorporating AI into their research processes in China [49] - UBS stated that the probability of an AI bubble in China is low, with monetization relying on cloud and advertising [50] Group 17 - The number of AI companies in China has exceeded 6,200, with applications expanding across various industries [51]