这句话曾是互联网时代的黄金法则，如今，它正成为人工智能（AI）下半场的判词。 *内容仅为呈现不同市场观点与研究视角，并不意味着本公众号对文中观点结论认可。 "资本市场从不奖励'最先进'，它奖励的是'最便宜、最可规模化、最先形成网络效应的技术'。" 过去两年，全球资本市场的 AI 叙事高度统一：算力即权力，GPU 即石油。 英伟达的市值飙升，纳斯达克的繁荣，皆建立在对"算力稀缺 性"的信仰之上。 然而，近期市场风向的微妙变化，揭示了一个被忽视的真相：AI 产业的价值锚点，正在从"供给侧的算力垄断"向"需求侧的 Token 消耗"迁 移。 当中国大模型在 OpenRouter 等平台上以惊人的调用量反超美国，当 Token 价格出现断崖式差异，一场关于定价权的深层变革正在上演。 而在这场变革中，恒生科技指数，正悄然从"政策博弈的战场"，演变为全球大模型真正的"Token 晴雨表"。 价格屠刀落下：Token战争， 本质是一场成本革命 OpenRouter 的周度数据看似只是一次调用量的阶段性反超——中国模型单周 5.16 万亿 Token，对比美国 2.7 万亿 Token。 如果仅看绝对值，这或许只是短期波动。 ...

今天分享的是：量子位；2025年度AI十大趋势报告 报告共计：48页 2025年度AI十大趋势报告核心内容总结 量子位智库2025年度AI十大趋势报告从基础设施、模型进化、应用版图、中国发展四大维度，梳理了当下AI产业的核心发展趋势，展现了AI技术从底层基 建到上层应用的全链路进化图景，也凸显了中国在全球AI发展中的独特价值与地位。 在基础设施层面，算力与芯片成为产业发展核心基石。算力基建化成为显著特征，全球超大规模数据中心建设提速，各国均将算力布局提升至战略高度，太 空计算等新型算力方案也进入探索阶段，算力成为智能产业的核心引擎；芯片则向AI原生方向转型，GPU仍是训练核心，NPU成为端侧标配，ASIC/FPGA 迎来增长，中国正加速AI芯片国产替代，实现了国产软硬件协同完成千亿级参数大模型训练的突破。 模型进化领域，技术创新围绕效率与落地展开。预训练架构成为大模型格局的关键，MoE架构、线性/稀疏注意力等技术突破了Transformer的效率瓶颈，模 型蒸馏、强化学习等技术则推动大模型能力向端侧下沉；大模型落地进入推理时代，多模态深度推理、自适应推理成为研发重点，推理需求倒逼框架与硬件 的协同创新；同时， ...

长达数年的中国大厂海外游戏"军备竞赛"，按下暂停键。 近日，腾讯天美旗下位于加拿大的蒙特利尔工作室被爆已停止运营，多名前员工在社交媒体上证实了这 一消息，并直言"虽早有预料，但现实依然令人难以接受"。 对此，《科创板日报》记者也向腾讯方面寻求置评，但截至发稿，暂未得到回应。 几乎在同一时间节点，字节跳动的"卖子"传闻也进入终局。2月中旬，字节跳动被曝与沙特公共投资基 金（PIF）旗下Savvy Games Group就出售沐瞳科技进入最终谈判。 不难看出，中国游戏巨头在海外市场的战略已然转向，那个挥舞支票簿在全球范围内高薪挖人、追求 3A之梦的狂热时代，正在按下暂停键。目前来看，尽管游戏业务在腾讯、字节跳动等大厂版图中仍是 重要的基本盘，但在AI技术浪潮的冲击下，巨头们的发展重心已明显向人工智能领域倾斜。 腾讯、字节同步"踩刹车"，重心转向AI 币用于AI领域。 蒙特利尔工作室成立之初的愿景很宏大："开发具备3A品质、开放世界架构及跨平台能力的大型游戏产 品。" 然而，成立后的五年里，该工作室始终未能拿出属于自己的原创作品。据公开信息显示，其工作重心逐 渐转向承接天美IP的国际化延伸，包括参与《宝可梦大集结》 ...

Core Viewpoint - Tencent acknowledges its slower pace in AI development compared to competitors, indicating a strategic choice to follow market validation before making significant moves [3][10]. Group 1: Strategic Decisions - Tencent made two key strategic decisions before the 2025 Spring Festival: transferring its chatbot product Yuanbao from TEG to CSIG, shifting from a technology-driven to a product-driven approach, and integrating the full version of DeepSeek into Yuanbao, moving towards a multi-model strategy [12][15]. - The leadership's clear stance serves as a directional signal for the company, leading to a secret recruitment drive post-Spring Festival [14]. Group 2: Talent Acquisition Challenges - Tencent faces a competitive talent market, with top AI talent already absorbed by early-stage AI companies and major players like ByteDance intensifying their recruitment efforts [15][16]. - To attract talent, Tencent has to offer competitive salaries, often exceeding those of competitors by 1-2 levels in job titles [23][24]. Group 3: Organizational Structure and Leadership - The establishment of a new AI organizational structure in December 2025 reflects Tencent's commitment to AI, with a focus on co-designing research and product development [32][40]. - Yao Shunyu's appointment as a key figure in AI development aims to bridge the gap between model research and infrastructure, ensuring alignment of resources and objectives [38][44]. Group 4: Market Position and Competition - Tencent's historical strategy of entering markets later but effectively is evident in its approach to AI, where it aims to leverage its strong user base and existing platforms to catch up [46][50]. - The company currently lacks a dominant AI-native application, which is crucial for establishing a strong market presence [48]. Group 5: Future Directions - Tencent's AI social direction faces challenges from its existing platforms like WeChat, which may conflict with the dynamic nature required for AI-native social interactions [53][54]. - The company needs to create a new, independent AI-native social application to meet the evolving demands of the AI era, similar to how QQ and WeChat addressed their respective internet phases [56][57].

Core Viewpoint - The article discusses how Google's financial performance and strategic shift towards AI infrastructure have set a benchmark that Chinese tech giants aspire to replicate, yet face significant challenges in doing so [5][6][24]. Group 1: Google's Performance and Strategy - Google's parent company, Alphabet, reported a historic revenue exceeding $400 billion in 2025, with Q4 revenue reaching $113.8 billion, showcasing its robust financial health [5]. - The growth of Google's cloud business surged by 48%, with annual revenue surpassing $70 billion, indicating a successful transition from a search-centric model to a global AI infrastructure provider [5][6]. - Google has accumulated a backlog of $240 billion in orders, reflecting strong demand for its AI capabilities and services [6]. Group 2: Chinese Tech Giants' Aspirations - Chinese tech companies like Baidu, Alibaba, and Tencent are striving to emulate Google's model, viewing it as the pinnacle of success in the tech industry [9][10]. - Baidu, heavily reliant on search and advertising, sees AI as a lifeline, investing in autonomous driving and self-developed chips to transform its search engine into a smart entity [18]. - Alibaba aims to integrate its cloud services with AI, investing $38 billion to enhance its technological capabilities and move away from mere resource selling [20]. - Tencent focuses on leveraging its social and content platforms to integrate AI, with over 900 applications utilizing AI internally [21]. Group 3: Challenges Faced by Chinese Companies - Chinese tech giants struggle to replicate Google's global operational model due to their inward-focused ecosystems, which limit their ability to scale and innovate on a global level [25][26]. - The competitive landscape in China forces companies to prioritize short-term gains over long-term innovation, hindering the development of groundbreaking technologies [34][35]. - The cultural differences between Google's engineer-driven approach and the product manager-driven culture of Chinese firms contribute to the challenges in achieving similar levels of innovation [30][32]. Group 4: Unique Opportunities for Chinese AI - Despite the challenges, Chinese companies possess unique advantages, such as a diverse and complex industrial landscape that can provide valuable data for AI applications [42]. - The rapid digitalization of various sectors in China offers opportunities for AI models to excel in practical applications, potentially surpassing Google's capabilities in specific areas [42]. - The article suggests that instead of trying to become "the Chinese Google," companies should focus on their unique narratives and strengths in the AI landscape [40][41].

Investment Rating - The report does not explicitly state an investment rating for the company [2]. Core Insights - The report highlights that Tencent's stock price experienced a significant drop due to rumors regarding an increase in value-added tax, which was later clarified to not affect Tencent's core business, providing a potential buying opportunity for investors [2]. - Tencent's AI initiatives are advancing, with the launch of a technical blog by the chief AI scientist, showcasing a new benchmark that addresses the limitations of current models in real-time learning, which could enhance Tencent's competitive edge in AI applications [3]. - The "Yuanbao" app has gained significant traction, reaching the top of the App Store with an estimated peak daily active users (DAU) exceeding 20 million, indicating strong market interest and potential for future growth [4]. - The return of the mobile version of "QQ Classic Farm" is expected to activate long-tail users and contribute an estimated revenue of 1 to 2 billion yuan in its first year, reflecting Tencent's strategy to leverage classic IPs for user engagement [5]. Summary by Sections Stock Performance - Tencent's stock price fell below 600 HKD due to market misinterpretation of tax changes, but the fundamentals remain intact, presenting a low-cost entry point for investors [2]. AI Developments - The launch of the CL-bench benchmark by Tencent's AI team aims to improve real-time learning capabilities, marking a shift from merely chasing parameters to defining paradigms in AI [3]. App Performance - The "Yuanbao" app's success in the App Store indicates a strong user engagement strategy, although concerns about user retention in the WeChat ecosystem remain [4]. Game Strategy - The reintroduction of "QQ Classic Farm" aims to activate dormant users and is projected to generate significant revenue, showcasing Tencent's focus on mobile adaptations of classic games [5].

Core Viewpoint - Tencent has shifted its investment strategy from a broad approach focused on "traffic + capital" to a more concentrated focus on high-tech sectors such as AI, healthcare, and smart hardware, reflecting changes in the regulatory environment and market dynamics [4][5]. Investment Trends - Over the past five years, Tencent's investment pace has significantly decreased, with the number of external investments dropping from 296 in 2021 to an estimated 25 in 2024, before a slight recovery to 37 in 2025 [4][6]. - The company has invested in over 800 enterprises, with more than 70 successfully listed and over 160 becoming unicorns valued at over $1 billion [4]. AI Investment Focus - Tencent has designated 2025 as the "AI Year," with projected capital expenditures in AI reaching hundreds of billions [6]. - The investment strategy includes a systematic approach to AI, focusing on foundational computing, basic models, and application-level AI tools [6][8]. - Significant investments include a $15 billion round for optical hybrid computing provider Xizhi Technology and a $5 billion investment in Moonlight Dark, a model layer investment [6][8][9]. Healthcare Investments - Tencent's healthcare investments have shifted towards innovative drugs, biotechnology, and high-end medical devices, moving away from earlier focuses on online consultations and pharmaceutical e-commerce [11][12]. - Notable investments include a stake in Libang Pharmaceutical, focusing on chronic kidney disease treatments, and participation in various funding rounds for companies targeting major diseases like cancer and metabolic disorders [12][13]. Gaming Sector Strategy - Tencent continues to invest in its core gaming business, acquiring companies like Mengyou Technology to enhance its casual gaming offerings and expanding its global presence through acquisitions like Ubisoft's Vantage Studios [16][17]. - The company is also exploring next-generation interactive forms, such as AI-driven social gaming platforms [18][19]. Hard Technology and Manufacturing - Tencent is expanding its investments into advanced manufacturing, focusing on robotics and autonomous delivery systems, with significant funding in companies like Zhiyuan Robotics and Neolix [20][21]. - The company is also investing in green technology, including carbon capture and electric vehicle charging solutions [21]. Consumer and Retail Investments - Tencent is actively investing in consumer brands and retail sectors, with notable investments in tea brands and outdoor products, as well as exploring opportunities in overseas markets [22][23]. - The company is also focusing on consumer technology, investing in brands like xTool, which specializes in laser creative tools [23].

Core Insights - Tencent is launching a significant initiative in AI, emphasizing its strategic importance within the company [1][3] - The company is actively promoting its AI application "Yuanbao" through a large-scale marketing campaign, including a cash red envelope initiative during the Spring Festival [2][4] Group 1: AI Strategy and Initiatives - Tencent's AI strategy is gaining momentum, with "Yuanbao" becoming a central focus for consumer-facing AI applications [2][4] - The Spring Festival campaign aims to replicate the success of the WeChat red envelope phenomenon, leveraging social media to drive user engagement [4] - "Yuanbao" has quickly risen to the top of the App Store rankings, indicating effective market penetration [4] Group 2: Competitive Landscape - Tencent faces stiff competition from ByteDance's "Doubao" and other emerging AI applications, which are rapidly gaining user traction [9] - As of September 2025, "Doubao" has reached approximately 172 million monthly active users, surpassing Tencent's offerings [9] Group 3: Product Development and Features - The "Yuanbao" application has introduced new features like "Yuanbao Pai," which enhances group interactions using AI capabilities [4] - Another AI application, "ima," targets knowledge-intensive scenarios and has been integrated with DeepSeek technology, showcasing Tencent's commitment to diverse AI applications [5][6] Group 4: Infrastructure and Investment - Tencent is investing heavily in AI infrastructure, with capital expenditures reaching a historical high of 76.7 billion yuan in 2024, accounting for 12% of total revenue [12] - The company is also focusing on building partnerships and investing in AI chip startups to enhance its technological capabilities [13] Group 5: Future Outlook and Challenges - Tencent is exploring the integration of AI into its flagship WeChat application, aiming to create a unique AI agent that enhances user experience [14] - Despite the potential, challenges remain, including privacy concerns and the need for significant investment in AI capabilities [14][15]

Core Insights - The Chinese AI industry is entering a new phase of commercial validation and large-scale application, with several companies recently listed on the Hong Kong Stock Exchange and the Sci-Tech Innovation Board [1] - Despite advancements, domestic chip manufacturers face significant challenges due to reliance on NVIDIA's ecosystem, which limits their competitiveness and market penetration [3][5] - The shift from centralized training to decentralized inference in AI models presents an opportunity for domestic chips to differentiate themselves through deep collaboration with AI model developers [7][10] Industry Challenges - The dependency on NVIDIA's technology has created a "NVIDIA dependency syndrome," with only a few domestic GPUs able to support a limited number of AI models compared to the vast offerings available globally [3][5] - The lack of a robust ecosystem for domestic chips leads to a cycle of low usage, slow feedback, and high development costs, making it difficult for these chips to gain traction in the market [5][6] - The rapid evolution of AI model architectures necessitates flexible and forward-looking chip designs to avoid obsolescence shortly after production [4][5] Collaborative Efforts - Companies are forming alliances, such as the "Model-Chip Ecological Innovation Alliance," to bridge the technological gaps between chips, models, and platforms, enhancing computational efficiency and application deployment [8] - Major firms like Alibaba and Tencent are pursuing strategies that integrate models, cloud platforms, and chips to achieve systemic advantages in efficiency and cost [9][10] - The focus on dual adaptation between models and chips is seen as a critical path to overcoming existing ecological challenges and enhancing competitiveness in the AI landscape [7][9]

Core Viewpoint - The competition among cloud service providers in China, particularly in the AI cloud sector, is intensifying, with companies like Alibaba Cloud, Volcano Engine, and Tencent Cloud adopting different strategies to capture market share and achieve profitability [1][6][26]. Group 1: Advertising and Market Position - Since 2025, the number of AI cloud-related advertisements in major airports has significantly increased, with major players like Alibaba Cloud and Volcano Engine dominating the advertising space [1]. - In Shenzhen's Bao'an Airport, Alibaba Cloud claims to lead the AI cloud market share, while Volcano Engine asserts a 46.4% share of the public cloud large model market [2][5]. - Tencent Cloud's absence from the advertising scene is notable, especially as AI is seen as a critical growth area for cloud computing [5]. Group 2: Profitability vs. Scale - Tencent Cloud achieved overall profitability in its cloud business by 2025, a rare feat in an industry plagued by a "profit black hole" due to prolonged price wars [6][8]. - The industry has seen a trend where higher revenues often correlate with greater losses, with Alibaba Cloud's latest report showing a profit margin of less than 9% [8]. - Tencent Cloud has shifted its focus from absolute revenue to sustainable income structures, leading to a reduction in low-profit business segments [10]. Group 3: Business Strategies - Tencent Cloud's strategy emphasizes high-quality growth and a focus on high-value clients, resulting in a decrease in market share but a healthier revenue model [10][12]. - Volcano Engine's approach involves aggressive pricing for Token sales to attract AI customers, but this model has been criticized for lacking customer retention [14][15]. - Tencent Cloud's business structure is differentiated, with a focus on 40% IaaS, 40% PaaS, and 20% SaaS, highlighting its commitment to AI SaaS products [17]. Group 4: Market Growth and Competition - The AI cloud market in China reached 22.3 billion yuan in the first half of 2025, with Alibaba Cloud holding a 35.8% market share, followed by Volcano Engine at 14.8% [28]. - Tencent Cloud's revenue from partnerships has shown double-digit growth, with AI and SaaS product orders doubling [24]. - The competition is not just about market share but also about long-term sustainability and the ability to adapt to industry changes [26]. Group 5: Ecosystem and Partnerships - Tencent Cloud emphasizes a partnership-first approach, valuing long-term relationships with partners over short-term gains [24]. - The company has collaborated with over 11,000 partners, maintaining a focus on mutual respect and shared benefits [24]. - The competitive landscape has seen some cloud providers exploit partnerships, leading to a breakdown in trust and collaboration [21][22].