【东吴计算机】两大模型龙头暴涨，节后大模型如何选股？ 事件：2月20日港股大盘整体走弱背景下，AI大模型龙头逆势大涨。 智谱收盘大涨42.72%，总市值达3232亿港元； MINIMAX收涨14.52%，总市值3042亿港元。 两家均创上市以来新高，2月以来累计涨幅分别达220.51%、105.07%。 我 事件：2月20日港股大盘整体走弱背景下，AI大模型龙头逆势大涨。 MiniMax 智谱收盘大涨42.72%，总市值达3232亿港元； MINIMAX收涨14.52%，总市值3042亿港元。 两家均创上市以来新高，2月以来累计涨幅分别达220.51%、105.07%。 我们梳理了智谱与MiniMax春节期间的催化如下： 智谱 2月上旬，智谱匿名模型PonyAlpha登顶OpenRouter热度榜。 2月12日，发布GLM-5旗舰大模型，编程能力逼近国际顶尖水平。 2月12日，上调GLM编程订阅套餐价格30%起。 2月中旬，GLM-5完成多家国产芯片适配。 【东吴计算机】两大模型龙头暴涨，节后大模型如何选股？ 2月12日，MiniMax上线M2.5旗舰编程模型，性能比肩国际顶尖模型。 2月13日，MiniMa ...

Core Insights - The technology industry is experiencing renewed excitement in early 2026, particularly around AI innovations from major players like Tencent and Alibaba [1][2][3] Group 1: AI Innovation and Industry Dynamics - The public appearances of Ma Huateng and Jack Ma discussing AI signal a critical phase in the AI innovation race, indicating a shift towards more aggressive experimentation [3][4] - Major companies are now more cautious about innovation, focusing on ROI and budget considerations, which has led to a decrease in risk-taking [5][6] - The need for influential voices to encourage innovation is emphasized, as companies may fear the risks associated with AI development [6][7] Group 2: Company Strategies and Developments - Alibaba's Qianwen AI initially aimed at internal technology trials before pivoting to consumer-facing applications, showcasing a strategic shift in its business model [9][10] - ByteDance's Doubao AI has emerged as a significant player, leveraging its existing app ecosystem to enhance its AI capabilities [13][14] - Tencent's new AI social product, Yuanbao, is seen as a strategic move to protect its core social media business while exploring new revenue streams [18][19] Group 3: Competitive Landscape and Market Challenges - The AI industry is entering a new phase of competition, with major players intensifying their efforts, potentially making it harder for mid-tier AI companies to survive [20][21] - Data indicates a significant number of AI-related companies are facing closure, highlighting the challenges for smaller players in the market [22] - The market is increasingly favoring large tech companies, which are better positioned to absorb costs and innovate, leaving independent AI firms at risk of being marginalized [32][40] Group 4: Future Outlook and Trends - The ongoing AI arms race is shifting from a focus on absolute performance to cost-effectiveness, which may impact the viability of smaller players [41][42] - The concept of an "AI slaughter line" suggests that many companies may not survive the competitive pressures of the evolving landscape [23][24] - The narrative of AI innovation continues to evolve, with the potential for new breakthroughs that could reshape the industry dynamics [43]

沪指放量涨近1%站上4100点，收16连阳，市场成交额突破3万亿，AI应用概念全线爆发。锋龙股份11连板，一图看懂>> 公司拥有天工大模型,旗下艾捷科芯AI大算力芯片项目取得突破性进展,研发团队员工 数量接近200名,涵盖芯片设计、算法研发等多个领域 引力传媒 5天4板 公司已与今日头条、抖音、微信等热点短视频媒体达成重点合作关系,旗下"核力星 推" 。 "核力智选"两大社交AI营销系统覆盖了小红书、B站、抖音、快手等多平台 利欧股份 6天3板 整合数字营销服务的机构，推出的营销领域大模型〔利欧归一】,为广告客户提供研、 创、投、销一站式智能体平台 吉视传媒 吉林有线网络运营商,公司旗下影院公司开有影城,基于吉林台海量广播电视媒资资源 及来画公司布局Al视频和可视化Al智能体 粵传媒 参股公司影谱科技是一家致力于智能影像生产技术落地应用的视觉技术企业,聚焦于 AI 大文娱产业。在视频制作业务中采用 AI 技术提高美术绘画和创意视效制作的工作效 率,通过大数据和 AI 算法迅速生成符合市场需求的内容 博瑞传播 公司旗下每经科技与阿里云共建智能化内容创作与传播生态,核心产品接入通义千问大 模型并入驻阿里云自炼平台 ...

Core Insights - Meta's acquisition of AI Agent startup Manus signifies a pivotal shift in the AI industry, moving from mere conversational capabilities to autonomous actions, marking a new phase in AI evolution [1][9] - The news has triggered a surge in the Chinese capital market, with investors actively seeking companies that demonstrate real "Agent implementation capabilities" [1][9] Group 1: Key Companies in AI Agent Space - **Pioneer in Vertical Implementation: Maifushi (02556.HK)** Maifushi's stock surged over 11% following the news, as it recently launched its Agentforce 3.0, a significant upgrade that automates complex business processes from perception to execution. It ranks among the top in the "2025 Enterprise AI Agent Applications TOP 50" alongside major players like Baidu and Alibaba [2][10] - **Foundation Stone of Infrastructure: Baidu Group (09888.HK)** Baidu serves as the backbone of China's AI Agent ecosystem, providing the Wenxin large model and the AgentBuilder development tool, enabling developers to create agents with low barriers. Its foundational technology positions it as a critical player in the AI Agent market [3][11][12] - **Central Hub for Office Scenarios: Kingsoft Office (688111.SH)** Kingsoft is transforming traditional document processing software into intelligent agents through WPS AI, focusing on enhancing personal productivity. It stands as a solid counterpart to Microsoft's Copilot in the domestic market [4][13] - **Hardware Giant: Lenovo Group (00992.HK)** Lenovo is promoting "AI PCs" that integrate localized large models and agents, representing a new category of edge intelligence. This positions Lenovo as a key hardware provider for AI agents, ensuring user accessibility [5][14] - **Entertainment and Social Player: Kunlun Wanwei (300418.SZ)** Kunlun is aggressively pursuing the C-end entertainment sector with its "All in AGI" strategy, which includes the Tiangong large model and ventures into AI gaming and social agents, aiming to create interactive companions in virtual environments [6][15] - **Leader in Visual Perception: SenseTime-W (00020.HK)** SenseTime excels in visual AI, focusing on physical world perception, particularly in autonomous driving and robotics. Its "Riri New" system aims to develop agents capable of understanding and responding to physical environments, representing a high-tech frontier in the agent space [7][16] Conclusion - Meta's acquisition of Manus serves as a clarion call for the AI industry, indicating a shift from mere conversational AI to functional agents. The next phase for China's AI agents will prioritize product capabilities over mere concepts [8][17]

Core Viewpoint - Kunlun Wanwei has evolved from a domestic gaming company to a global leader in artificial intelligence, with significant overseas revenue and a strong user base, positioning itself as a benchmark for Chinese tech companies going global [1][4]. Group 1: Company Growth and Strategy - The company was founded with a global vision, starting from online game development and expanding into international markets early on [1][2]. - Kunlun Wanwei's flexible market strategy allows it to focus on rapidly growing markets without fixed revenue targets, adapting to industry changes effectively [2]. - The company has made strategic investments, such as acquiring Opera and launching successful products like StarMaker, which has over 310 million registered users [2][4]. Group 2: AI Development and Revenue - In 2025, Kunlun Wanwei achieved a total revenue of 5.8 billion yuan, a 52% year-on-year increase, with overseas revenue accounting for 93% [4]. - The company has established a comprehensive presence in the AI sector, with products like DramaWave generating significant revenue and Linky achieving over 20 million downloads [4][5]. - The AI music platform Mureka and the Opera browser also contribute to the company's strong market performance, with Opera being the fourth largest browser globally [4]. Group 3: Market Expansion and Compliance - Kunlun Wanwei emphasizes "technological innovation" and "proactive compliance" as key factors for success in international markets [5]. - The company invests heavily in technology and localizes its products to fit diverse cultural contexts in regions like India and Africa [5]. - A rigorous compliance approach ensures that the company secures necessary licenses before launching operations in new markets [5]. Group 4: Government Support - The rapid growth of Kunlun Wanwei is supported by various levels of government in Beijing, providing policy, talent, and funding advantages [6]. - The local government offers tailored services to address the company's needs and assists in obtaining operational licenses for AI products [6]. - Chinese embassies abroad also play a crucial role in facilitating business operations and ensuring the stability of overseas teams [6].

第一，昆仑万维将聚焦前沿技术研发与开源开放，持续加大在AGI（通用人工智能）、大模型等核心领 域的投入，致力于降低AI技术门槛，持续迭代SkyworkSuperAgents智能体矩阵与天工大模型，夯实"算 力－大模型－应用"全链条能力，通过开源生态助力我国人工智能产业基础能力整体提升。 第二，昆仑万维将深化"人工智能+"融合应用，积极推动自研AI技术在内容生成、信息分发、社交娱 乐、企业服务及生产力工具等多元场景的深度融合与创新应用，赋能千行百业智能化升级，依托全球化 运营经验推动技术出海。 第三，昆仑万维将筑牢合规防线，健全数据安全、算法可追溯等治理体系，响应政策对AI安全与伦理 的要求。 方汉表示，昆仑万维将以扎实的技术创新和务实的产业应用，在践行"人工智能+"行动中打造具有国际 竞争力的数字产业集群，为培育新质生产力、建设现代化产业体系添砖加瓦，为我国在人工智能这一关 键赛道上赢得竞争优势出贡献力量。 中央经济工作会议12月10日至11日在北京举行。会议指出，"坚持创新驱动，加紧培育壮大新动能""深 化拓展'人工智能+'，完善人工智能治理"。 昆仑万维科技股份有限公司（以下简称"昆仑万维"）董事长兼CE ...

Group 1 - The conference held in Shenyang focused on exploring new paths and models for the deep integration of information technology and industrialization, with approximately 500 representatives from various sectors attending [1] - China's industrial enterprises have achieved a 64.9% integration level in the two-in-one development, with digital R&D penetration and key technology automation rates reaching 64% and 86.5% respectively, indicating a significant breakthrough in technology integration [1] - The conference highlighted the release of the "Reference Guide for Promoting Digital Transformation in Key Industries (2025 Edition)," which provides a "scene navigation map" to help enterprises overcome challenges in digital transformation [3] Group 2 - Liaoning province, as a key old industrial base, is actively building 5G network capabilities and has implemented over 10 AI benchmark projects across the province [2] - Traditional industrial enterprises face common challenges in digital transformation, such as complex working conditions and fragmented production data, which hinder efficient scheduling and collaboration [2] - The application of AI models has significantly reduced the annual maintenance cost of oil wells from 56,000 yuan to 20,000 yuan, while improving production capacity control accuracy by 23% [2] Group 3 - The conference emphasized the need to strengthen theoretical research and top-level planning to accelerate policy implementation and solution supply for key industries [3][4] - There is a call for enhanced ecosystem construction through deep collaboration between enterprises, universities, and research institutions to innovate education and industry integration models [4] - The focus is on cultivating standardized scene interpretation solutions and universal tool products aimed at small and medium-sized enterprises to facilitate precise digitalization [3][4]

Core Insights - Kunlun Wanwei's AI-driven business has led to significant growth, with a third-quarter revenue of 2.072 billion yuan, a year-on-year increase of 56.16%, and a net profit of 190 million yuan, compared to a loss of 237 million yuan in the same period last year [1][2] AI Business Growth - The company has focused on AGI and AIGC, achieving substantial progress in technology development, product innovation, and commercialization, resulting in a strong overall performance [1][2] - For the first three quarters of 2025, the company reported total revenue of 5.805 billion yuan, a year-on-year increase of 51.63% [1] Globalization Strategy - Kunlun Wanwei has deepened its global strategy, achieving overseas revenue of 5.41 billion yuan in the first three quarters, a 58% increase, with overseas revenue accounting for 93.3% of total revenue, up 3.6 percentage points year-on-year [3] - The company has established a solid user base in over 100 countries, with nearly 400 million monthly active users globally, enhancing its international competitiveness [3] R&D Investment and Technological Advancements - The company has significantly increased its R&D investment, with expenditures reaching 1.211 billion yuan in the first three quarters of 2025, a year-on-year increase of 5.83% [3] - Kunlun Wanwei's "Tiangong" model has evolved to version 4.0, featuring a parameter scale of 400 billion, making it one of the largest open-source MoE models globally [4] Industry Positioning - The company is transitioning from a gaming company to a leading global AI enterprise, leveraging its global layout and deep integration of AI technology as core competitive advantages [4]

Core Viewpoint - Kunlun Wanwei is intensifying its investment in AI, particularly through strategic funding and partnerships, despite facing significant financial losses and challenges in commercializing its AI business [1][6][7]. Group 1: Financial Performance - In 2024, Kunlun Wanwei reported revenue of 5.66 billion yuan and a net loss of 1.95 billion yuan, marking its first loss in ten years [7]. - By Q1 2025, the company continued to experience losses, with revenue increasing by approximately 46% year-on-year to 1.67 billion yuan, while net losses quadrupled to 930 million yuan [7][8]. - The company’s sales expenses surged by 92% to 868 million yuan in Q1 2025, primarily due to increased marketing costs for AI software and short drama businesses [8][21]. Group 2: Investment and Funding - Kunlun Wanwei's affiliated fund plans to provide 200 million yuan in interest-free convertible bonds to its subsidiary Skywork AI Inc. to enhance capital efficiency [1]. - The company has applied for a total of 1.27 billion yuan in bank credit since the beginning of 2025, nearly doubling its credit requests compared to 2024 [1][5]. - In June 2023, a major shareholder provided a loan exceeding 50% of the after-tax proceeds from a share reduction to support the company's long-term development in AGI and AIGC businesses [5]. Group 3: Strategic Focus and Challenges - The company is heavily investing in AGI and AIGC sectors but is currently facing a funding gap and has not yet achieved AI commercialization [6][12]. - Kunlun Wanwei attributes its losses to geopolitical tensions affecting its investments in companies like Pony.ai and increased R&D expenses for AI technologies [8][12]. - The company anticipates entering a profitable phase post-2027, despite current heavy investments in marketing and R&D leading to substantial losses [12]. Group 4: Corporate Structure and Operations - Kunlun Wanwei's subsidiaries, including Skywork AI, have reported significant losses, with four out of five major subsidiaries experiencing substantial net losses due to R&D and marketing expenses [12][18]. - The company has engaged in strategic equity transfers among its subsidiaries, which has resulted in inflated goodwill values, raising concerns about the sustainability of its financial practices [18][32]. - The increase in goodwill from 960 million yuan in 2020 to 5.15 billion yuan in Q1 2025 indicates potential risks associated with overvaluation and future cash flow challenges [29][32].

Core Viewpoint - The article discusses the transition of major companies from heavy investment in AI to the monetization phase, highlighting the varying degrees of success and the challenges faced in achieving profitability from AI initiatives [3][5][35]. Group 1: AI Investment and Monetization - Over the past two years, AI has become a significant focus for both domestic and international tech giants, with substantial financial investments made [4][5]. - A report indicates that several startups have achieved high revenue per employee, with AI unicorn Midjourney generating $500 million in annual revenue with a team of 40, translating to an average of $1.66 million per employee [4]. - Major companies like Baidu, Alibaba, and Tencent have emphasized the importance of AI in their financial reports, signaling a shift from investment to revenue generation [5][20][21]. Group 2: AI Business Models - The article categorizes the AI business models of major companies into four types: Model as Product, Model as Service, AI as Function, and "Selling Shovels" [7][8]. - "Model as Product" involves creating specific applications based on self-developed large models, primarily targeting consumer markets, with subscription-based revenue models [8][9]. - "Model as Service" targets B2B clients, offering trained AI models through cloud platforms, which has shown clear monetization potential [10][11]. - "AI as Function" integrates AI capabilities into existing products to enhance efficiency, contributing indirectly to profitability [11][13]. - "Selling Shovels" refers to providing foundational infrastructure and services to other companies, which requires significant investment and has a longer product cycle [15][16]. Group 3: Company Performance and Market Position - Companies are categorized into three tiers based on their AI monetization capabilities: - **First Tier**: Baidu, Alibaba, Tencent, and Huawei, where AI significantly contributes to overall revenue [18][19]. - **Second Tier**: Kuaishou, ByteDance, and Meitu, which are beginning to see the benefits of AI in their core operations [28][30]. - **Third Tier**: iFlytek and Kunlun Wanwei, which are still in the investment phase with less immediate revenue impact [31]. - Baidu's non-online marketing revenue, driven by AI, increased from 25.9 billion in 2022 to 31.7 billion in 2024, with a 40% year-on-year growth in Q1 2025 [20]. - Alibaba's cloud intelligence group reported a revenue of 30.1 billion in Q1 2025, reflecting an 18% year-on-year growth, indicating AI's role as a growth engine [21][22]. Group 4: Challenges in AI Monetization - Despite the promising revenue growth, companies face challenges in achieving profitability due to high R&D and marketing costs, with Tencent and Alibaba's annual R&D expenditures exceeding 100 billion [37][39]. - The article notes that while some companies have begun to see revenue from AI, the path to sustainable profitability remains complex, with many still not achieving positive cash flow from AI initiatives [43].