证券研究报告 传媒 行业定期报告 hyzqdatemark 2026 年 01 月 11 日 证券分析师 陈良栋 SAC：S1350524100003 chenliangdong@huayuanstock.com 陈逸凡 SAC：S1350525040003 chenyifan@huayuanstock.com 周政宇 SAC：S1350525050006 zhouzhengyu@huayuanstock.com 许孟婕 SAC：S1350525120004 xumengjie@huayuanstock.com 魏桢 weizhen@huayuanstock.com 板块表现： AI 应用仍是核心，重视 AI 营销 GEO 模式 投资评级： 看好（维持） ——传媒互联网行业周报（2026.1.5-2026.1.11） 投资要点： 电影/电视剧方向：《飞驰人生 3》正式定档 2026 年春节，或将随着春节档演绎。 我们建议关注相关电影出品/发行方以及院线公司：包括中国电影、猫眼娱乐、大麦 娱乐、上海电影、幸福蓝海、横店影视、金逸影视等。同时，电视剧行业方面，国 家广播电视总局印发实施《进一步丰富电视大屏内容 促 ...

新任腾讯CEO/总裁办公室首席AI科学家姚顺雨1月10日首次公开露面，以嘉宾身份出席清华大学北京重点实验室主办的AGI-Next前沿峰会，姚顺雨此前曾 任OpenAI研究员。他表示，在OpenAI之前，他在一个公司实习过，这是一个toB的公司，他觉得在toB公司工作过有很多收获，最大的收获是即使今天的 模型不再变好，所有的模型训练全部停止了。但是我们把这些模型部署到世界上各种各样的公司，已经能带来今天10倍或者100倍的收益，能应对GDP产 生5%-10%的影响，但是今天它对GDP的影响还不到1%。 另外他觉得教育非常重要，他观察现在人和人的差距非常大，更多时候不是说人类替代了人类工作，而是会使用这些工具的人在替代那些不会使用工具的 人，就像当年电脑出来，如果转身学习编程跟你还在持续计算尺、使用算法，差距是巨大的。今天中国能做到的最大的有意义的事情是更好的教育，教育 大家怎么更好的使用像Claude或者ChatGPT这样的产品，在国内我们可以用Kimi或者智谱这样的国产模型。 深圳最新引入的天才少年顶尖科学家 姚顺雨入职腾讯后首次公开发声！ 1月10日，在由清华大学基础模型北京市重点实验室、智谱AI发起的AG ...

Investment Rating - The report does not explicitly provide an investment rating for the AI industry Core Insights - The AI industry is experiencing significant advancements, with multiple companies releasing innovative products and models, indicating a robust growth trajectory in the sector [1][5][9][14][18] - The Chinese government is actively promoting AI integration in manufacturing, aiming to establish a leading position in AI technology and applications by 2027 [5] - Major companies like Lenovo and Tencent are launching new AI models and platforms, enhancing the capabilities and applications of AI in various fields [8][15][18] Summary by Sections 1. AI Industry Dynamics - The Ministry of Industry and Information Technology and other departments have issued guidelines for the "Artificial Intelligence + Manufacturing" initiative, targeting the development of core AI technologies and industry applications by 2027 [5] - In 2026, over 30 national standards related to data in AI will be introduced, focusing on areas like intelligent agents and embodied intelligence [6] - The Sichuan provincial government has launched a plan to develop a national digital economy innovation zone, aiming to enhance digital infrastructure and promote the growth of digital industries [7] 2. AI Application Insights - LuKe announced the global launch of the "Air Charging AI Smart Lock V7 Max" at CES 2026, featuring technology for continuous power supply [10] - Yushun released training videos for its humanoid robot Unitree H2, showcasing advanced capabilities [11] - DeepTing released the world's first dual-wheeled outdoor companion robot Rovar, designed for various outdoor scenarios [12] - Rokid introduced the "Style" AI glasses at CES 2026, featuring a dual-chip architecture and 4K video capabilities [13] 3. AI Large Model Insights - Alibaba Tongyi has released and open-sourced the Qwen3-VL-Embedding and Qwen3-VL-Reranker models, designed for multimodal information retrieval and understanding [14] - Tencent launched the HY-Motion1.0 model, a significant advancement in 3D character animation generation [15] - Xiaopeng unveiled its second-generation VLA model, marking a shift towards practical applications of physical AI technology [16][17] - Lenovo introduced the Lenovo Qira personal super intelligent agent, emphasizing cross-device functionality and personalized services [18] 4. Technology Frontiers - Alibaba Cloud launched a new multimodal interaction development kit, integrating various foundational models for diverse applications [19] - Tsinghua University published a paper on an AI-driven drug virtual screening platform, significantly improving screening speed and accuracy [20] - Chinese scientists made progress in cancer immunotherapy, developing a protein-targeting degradation technology [21] - A team from the University of Science and Technology of China achieved advancements in heterogeneous quantum communication networks [22]

证券研究报告|行业研究周报 [Table_Date] 2026 年 1 月 11 日 [Table_Title] 腾讯推出 AI 小程序成长计划，监管启动外卖 反垄断调查 [Table_Title2] 传媒行业周报系列 2026 年第 2 周 [Table_Summary] ►市场行情回顾 2026 年第2周（实际交易日为 2026.1.5-2026.1.9）上证指 数上涨 3.82%，沪深 300 指数上涨 2.79%，创业板指数上涨 3.89%。恒生指数下跌0.27%，恒生互联网指数下跌0.41%， 行业落后恒生指数 0.13pct。SW 传媒指数上涨 13.1%，领先 创业板指数 9.21pct，在申万一级 31 个行业涨跌幅排名中 位列第 3 位。子行业中出版、广电和互联网服务位列前三 位，分别为上涨 19.4%、上涨 14.8%和上涨 14.05%。 ►核心观点&投资建议 腾讯推出 AI 小程序成长计划，通过平台资源整合加速 AI 应用生态落地。据微信官网，微信于 1 月 5 日正式推出 AI 应用及线上工具小程序成长计划，为开发者提供为期一年 的云开发资源、免费 AI 算力、数据分析、流量激励及更 ...

核心观点： 机器人：景气度加速向上，马斯克宣布第三代机器人设计定型，发布在即。 全球首款全身力控小尺寸人形机器人"上纬启元 Q1"正式亮相。上纬新材发布全球首款全身力控小尺寸人形机器人 "上纬启元 Q1"，采用轻量化路线，通过工程化压缩体型与重量，实现"可打包携带"的产品形态。公司公告显示， 该业务专注于个人与家庭场景，未面向工商业领域，目前仍处于产品开发阶段；对于极客和创作者群体，Q1 因体型小、 结构开放，可适配智元灵创平台及开发接口，成为可反复调试改造的载体。 腾讯 Robotics X 实验室与宇树科技达成战略协作。前者通过 Tairos（钛螺丝）具身智能大模型，为宇树机器人本体 提供人机交互友好的导游导览导购服务支持，共同打造行业应用标杆。Robotics X 实验室以 SDK 和云服务形式输出 规划大模型与多模态感知模型，由宇树科技及生态企业完成系统集成与多场景落地交付。 征和工业发布链式灵巧手"臻手・CHOHO Hand"。征和工业在 "具身智能灵巧手发展开年论坛暨全球首创链式灵巧 手发布会"上，发布链式灵巧手"臻手・CHOHO Hand"，现场展示其单手 40kg 的承重能力。该产品兼具高承重 ...

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The coffee industry remains highly prosperous with brands actively opening new stores, although there is a caution regarding short-term data volatility due to the seasonal downturn [3] - The tea beverage sector is under slight pressure as it enters the off-season, with a trend of subsidy reductions expected despite the government's investigation into delivery platforms [3] - The e-commerce sector continues to face challenges, showing lackluster performance due to the domestic consumption environment [3] - Music streaming platforms are highlighted as valuable internet assets driven by domestic demand, with a recommendation to focus on music subscription platforms [3] - The virtual asset and trading platform market is experiencing limited catalysts, with cryptocurrency prices remaining volatile [3] - The automotive service sector is seeing expansion, with new 4S stores being opened by Zhongsheng Group in various cities [3] - The internet healthcare sector is gaining attention with OpenAI's launch of "ChatGPT Health," suggesting a focus on this area [3] - The AI and cloud sectors are viewed positively, with recommendations to monitor leading tech companies with strong cash flows [3] - The media sector is showing signs of recovery, with new games performing well and user growth in the gaming segment [3] Summary by Sections 1.1 Consumer & Internet - The Hang Seng non-essential consumer index decreased by 0.98%, underperforming the Hang Seng index by 0.57 percentage points [8] - Notable stock performances include: Gu Ming (+8.72%), Ba Wang Tea (+6.99%), and Luckin Coffee (-6.47%) [8][10] 1.2 Platform & Technology 1.2.1 Streaming Platforms - The Hang Seng media index increased by 3.22%, outperforming both the Hang Seng index and the technology index [15] - Key stock performances include: iQIYI (+0.99%) and Tencent Music (-2.86%) [15] 1.2.2 Virtual Assets & Internet Brokers - As of January 9, the global cryptocurrency market cap reached $319.54 billion, up 3.40% [22] - Bitcoin and Ethereum prices were $90,505 and $3,083.14, reflecting changes of +0.6% and -1.2% respectively [22] 1.2.3 Automotive Services - The Hang Seng composite index rose by 0.38%, with notable stock performances including Advance Auto Parts (+12.73%) [31] 1.2.4 O2O - The Hang Seng internet technology index decreased by 0.27%, with key stock performances such as JD Health (+13.31%) and Didi Global (-7.19%) [37] 1.2.5 AI & Cloud - The Nasdaq internet index increased by 1.59%, with Amazon (+9.22%) and Google (+4.26%) showing strong performances [39] 1.3 Media - The Shenwan一级传媒 index increased by 13.14%, with the advertising and marketing sector showing the largest gains [46] - Key stock performances include: Xindong Company (+18.50%) and Tencent Holdings (-1.93%) [46]

Investment Rating - The industry investment rating is "Positive" and maintained [7] Core Insights - The new game cycle in January continues with several products like "Duck Duck Goose" and "Heart Town" launching successfully. The trend of Chinese games going overseas remains strong, with leading companies like Dd and others showing impressive performance. The industry is expected to see a series of new game launches, leading to continuous catalysts [2][4] - The gaming sector's product cycle in 2026 shows strong sustainability and performance certainty, indicating room for valuation improvement. It is recommended to continue focusing on investment opportunities in the gaming sector, with relevant companies including Giant Network, Kaiying Network, Perfect World, 37 Interactive, G-bits, Yaoji Technology, Shengtian Network, Tencent Holdings, and Xindong Company [2][4] Summary by Sections New Game Launches - The January new game cycle has seen successful launches, including "Duck Duck Goose," which has gained significant popularity, and "Heart Town," which topped the global free charts in over 50 regions during its pre-download phase [2][4] - The performance of these new games validates the importance of global expansion and social interaction as growth engines in the gaming industry, with a strategy of "evergreen games + globalization" becoming key for leading companies [10] Overseas Market Performance - The overseas gaming market continues to thrive, with Dd's "Whiteout Survival" achieving over $4 billion in global revenue by December 2025. Other games like "Tasty Travels: Merge Game" and "Truck Star" have also shown strong performance in the overseas market [10] Future Game Releases - Upcoming game releases include Tencent's "Counter-Strike: Future" on January 13, "Rock Kingdom: World" on March 26, and several others from various companies, indicating a busy launch schedule that may catalyze further industry growth [10]

Core Insights - The competition in large models has shifted from "Chat" to "Agent," focusing on executing complex tasks in real environments rather than just scoring on leaderboards. The industry anticipates 2026 as the year when commercial value will be realized, with a technological evolution towards verifiable reinforcement learning (RLVR) [2][4][5]. Group 1: Competition Landscape - The engineering challenges of the Chat era have largely been resolved, and future success will depend on the ability to complete complex, long-chain real tasks. The core value of AI is transitioning from "providing information" to "delivering productivity" [4]. - The bottleneck for Agents lies not in cognitive depth but in environmental feedback. Future training paradigms will shift from manual labeling to RLVR, enabling models to self-iterate in systems with clear right or wrong judgments [5][6]. - The industry consensus suggests that while China has a high chance of catching up in the old paradigm (engineering replication, local optimization, toC applications), its probability of leading in new paradigms (underlying architecture innovation, long-term memory) is likely below 20% due to significant differences in computational resource allocation [5][11]. Group 2: Strategic Opportunities - Opportunities for catching up lie in two variables: the global shift towards "intelligent efficiency" as scaling laws encounter diminishing returns, and the potential paradigm shift driven by academia around 2026 as computational conditions improve [5][19]. - The ultimate variable for success is not leaderboard scores but the tolerance for uncertainty. True advancement depends on the willingness to invest resources in uncertain but potentially transformative new paradigms rather than merely chasing scores in the old paradigm [5][10]. Group 3: Perspectives from Industry Leaders - Industry leaders express cautious optimism regarding China's potential to lead, with probabilities of success varying. For instance, Lin Junyang estimates a 20% chance of leading due to structural differences in computational resource allocation and usage [11][12]. - Tang Jie acknowledges the existing gap in enterprise AI lab research but bets on a paradigm shift occurring around 2026, driven by improved academic participation and the emergence of new algorithms and training paradigms [15][19]. - Yang Qiang believes that China may excel in toC applications first, drawing parallels to the internet history, while emphasizing the need for China to develop its own toB solutions to bridge existing gaps [20][24]. Group 4: Technological Innovations - The future of AI will require advancements in multi-modal capabilities, memory structures, and self-reflective abilities, which are essential for achieving higher levels of intelligence and functionality [68][70][73]. - The introduction of new optimization techniques, such as the MUON optimizer, aims to enhance token efficiency and long-context processing, which are critical for the performance of agent-based models [110][116]. - The development of linear attention mechanisms is expected to improve efficiency and performance in long-context tasks, addressing the limitations of traditional attention models [116]. Group 5: Future Directions - The industry is focused on distinguishing between scaling known paths through data and computational increases and exploring unknown paths to discover new paradigms [98][99]. - The potential for AI to participate in scientific research is anticipated to expand significantly, opening new possibilities for innovation and application [101].

Core Viewpoint - The article discusses the challenges faced by input method applications in the era of AI, highlighting user frustrations with accuracy and excessive advertisements, despite significant investments from major tech companies in enhancing these tools [2][4][14]. Group 1: User Experience Issues - Users are increasingly dissatisfied with input methods, reporting issues such as inaccurate word predictions and excessive advertisements, which detract from the overall user experience [2][4]. - A specific case is mentioned where a long-time user of Sogou Input Method uninstalled the app due to frequent incorrect suggestions, indicating a decline in basic functionality despite advanced AI features [4]. - Complaints about the voice recognition capabilities of input methods have also surfaced, with users noting that corrections often take longer than typing the text directly [4]. Group 2: AI Integration and Competition - Major input method providers, including Sogou, Baidu, and iFlytek, are engaged in a competitive race to integrate advanced AI capabilities into their products, aiming to enhance user experience and functionality [2][8][9]. - The input method market is characterized by a concentrated structure, with leading companies holding a combined market share of 84.4% as of July 2025, indicating a competitive landscape [8]. - Input methods are evolving from simple typing tools to becoming the primary interface for AI interactions, with companies aiming to position their products as essential gateways to AI capabilities [9][10]. Group 3: Commercialization and Privacy Concerns - Input methods face challenges in monetization, struggling with a "high traffic, low value" dilemma, which complicates their ability to generate revenue despite having a large user base [15][16]. - Privacy concerns are paramount, as input methods have been criticized for collecting unnecessary personal information, leading to regulatory scrutiny and the need for companies to adapt their data collection practices [16]. - Companies are implementing features that allow users to choose between different modes of data collection, balancing functionality with privacy protection [16]. Group 4: Future Directions - The future of input methods is seen as a shift towards becoming intelligent agents that can understand user intent and context, moving beyond basic text input to more complex interactions [12]. - Companies are exploring multi-modal input methods that incorporate voice, text, and images, which require sophisticated algorithms and technology to manage effectively [17].

Core Viewpoint - The article discusses a newly highlighted feature of WeChat Pay that allows users to receive reminders about lost items from merchants, which has sparked significant online discussion and interest among users [1][4]. Group 1: WeChat Pay Lost Item Reminder Feature - Users have recently discovered that WeChat Pay has a hidden feature that sends reminders about lost items after transactions at certain merchants [1]. - Some users were already aware of this feature, while others expressed surprise at its existence [4]. - Tencent's customer service indicated that this feature is only supported by select merchants, and personal information is not visible to merchants; only transaction details are shared [6]. Group 2: Other WeChat Features - WeChat offers various practical features that users may not be aware of, such as editing Excel documents directly from images received on mobile devices [7][9]. - Users can create personal chat groups to organize files better, which can be done by initiating a group chat with a unique four-digit code [11][13]. - The "File Transfer Assistant" can be used for searching specific content by entering a "" followed by the search term [14]. - Users can now withdraw all messages sent in a single action, enhancing message management [15]. - In group chats, users can selectively receive important notifications even when "Do Not Disturb" mode is activated [17].