浙江吉利控股集团是千里科技的主要股东之一，并主导推动奔驰参与投资。吉利已将其自动驾驶业务整合到千里科技，使其成为集团未来智能驾驶技术的核 心平台。 印奇表示，千里科技是一家 A 股上市公司，主要专注在"AI + 车"以及未来机器人的一些结合上。阶跃星辰专注在基础大模型的研发和商业化。 此外据智通财经报道，阶跃星辰（StepFun）完成超 50 亿人民币 B+ 轮融资，刷新过去 12 个月中国大模型赛道单笔最高融资纪录。参与机构包括上国投先 导基金、国寿股权、浦东创投、徐汇资本、无锡梁溪基金、厦门国贸、华勤技术等产业投资人，腾讯、启明、五源等老股东进一步跟投。本轮融资将用于基 础模型研发，加速 AI+ 终端战略落地。 综合IT之家此前报道，千里科技曾在 2025 年底宣布，千里智驾的核心业务与技术体系的战略整合工作已顺利完成。此次整合覆盖组织架构、技术平台、数 据体系与产品路线等多个方面的资源优化配置。 IT之家 1 月 26 日消息，阶跃星辰今日（1 月 26 日）宣布，印奇正式出任公司董事长，负责整体战略节奏与技术方向的制定。 印奇将与 CEO 姜大昕、首席科学家张祥雨、CTO 朱亦博组成核心管理团队。该公 ...

Market Overview - The Hang Seng Index increased by 2.01%, the Hang Seng Tech Index rose by 4.31%, and the Hang Seng China Enterprises Index gained 2.85% during the week from December 29, 2025, to January 2, 2026[4]. - Net selling through the Hong Kong Stock Connect amounted to 3.4 billion CNY, while southbound funds recorded a net purchase of 1,301.5 billion CNY in 2025, equivalent to 174.92% of the total net purchases for 2024[4]. AI Sector Developments - Meta acquired AI startup Manus for over 2 billion USD, which will continue to operate independently[4]. - Baidu's subsidiary Kunlun Chip submitted a confidential listing application to the Hong Kong Stock Exchange on January 2, 2026[6]. - MiniMax launched the MiniMax M2.1 model and went through the listing hearing with the Hong Kong Stock Exchange[4]. Investment Recommendations - For Tencent Holdings, a PE ratio of 18X is projected for 2026, with expectations of accelerated growth in domestic gaming and healthy overseas growth[4]. - Kuaishou is expected to have a PE ratio of 11X for 2026, with stable growth and potential investment opportunities following any short-term volatility[4]. - Alibaba is projected to have a FY27 PE of 16X, with new AI models and hardware developments to watch[4]. Consumer Sector Insights - Suplay submitted its prospectus for listing on the Hong Kong Stock Exchange, aiming to capitalize on its leading position in the collectible card market[6]. - Pop Mart's valuation is at 14X PE for 2026, with potential sales boosts from the holiday season and strong IP performance expected[4]. Risks - Geopolitical risks may impact overseas revenues and competitiveness, potentially affecting stock prices[22]. - Regulatory risks in the internet sector could influence industry and individual stock performance[22].

Group 1 - The core focus of the news is the increasing attention and investment in AI agents, highlighted by Meta's acquisition of Manus' parent company for billions of dollars, signaling a significant market shift towards AI technology [1] - Major domestic companies are launching their own AI agents, with DingTalk introducing the "Agent OS," claimed to be the world's first AI-focused work operating system, and Alibaba's Tongyi Lab releasing an open-source GUI AI agent for cross-application operations on AI phones [2] - Lenovo announced an upgrade to its Tianxi AI agent to version 3.5 at the 2025 Tianxi AI Ecosystem Partner Conference, enhancing personalization, actionability, and interaction experience, and embedding Tianxi AI into various devices including AI PCs, phones, tablets, and AIoT [3] Group 2 - Lenovo's Tianxi AI is designed with a focus on security, featuring a hardware-level encryption framework that ensures algorithm and data isolation to prevent unauthorized access, and employs homomorphic encryption to keep data usable yet invisible [4] - The comparison between Tianxi and Doubao by Lenovo's management emphasizes Tianxi's security advantages, which may help the company capture a larger market share in AI terminal products [4]

Core Insights - The enterprise AI product market is expected to experience explosive growth by 2025, with SaaS companies and AI-native firms reshaping the industry landscape. The focus has shifted from trial use to large-scale implementation, integrating AI into core business processes such as finance, sales, supply chain, and customer service [4][13][41] - The boundaries of enterprise software are becoming increasingly blurred, as traditional classifications like CRM, OA, and ERP fail to accurately describe the emerging products and their functionalities [2][13][42] - AI is transitioning from a supportive role to a more active role in executing tasks, with products allowing AI to directly participate in business processes and decision-making [20][22][24] Group 1: Product Types and Features - Four core types of enterprise AI products have emerged, covering the entire application ecosystem from foundational capabilities to vertical scenarios [5][6] - AI Agent platforms serve as the foundation for developing, deploying, and operating enterprise AI agents, addressing challenges such as high development barriers and poor system integration [6][7] - Vertical AI products focus on specific job functions, providing ready-to-use tools that enhance efficiency by automating repetitive tasks [8][10] Group 2: Changes in Business and Responsibility Boundaries - The traditional business boundaries of enterprise software are diminishing, with companies increasingly organizing work around tasks rather than systems [13][17][18] - The responsibility of AI in products is shifting forward, with AI now taking on execution roles and being held accountable for outcomes, which raises questions about risk management and accountability [19][20][22] - The convergence of AI-native companies and traditional SaaS firms is leading to similar product paths, as both seek to integrate AI deeply into their core workflows [24][25] Group 3: Business Models and Market Dynamics - The commercial model for enterprise AI products is shifting from selling tools to delivering value, with a focus on measurable outcomes and task completion [26][27] - AI products are increasingly being designed for private and controllable deployment, addressing concerns about data sovereignty and transparency [28][29][30] - The role of product managers is evolving to focus on creating collaborative frameworks among humans, AI, and existing systems, rather than merely optimizing tool functionalities [31][32][34] Group 4: Unresolved Issues and Challenges - Trust barriers remain as enterprises are hesitant to allow AI to autonomously execute core tasks, often preferring a model of AI assistance with human oversight [36] - The cost of AI errors is a significant concern, as companies currently bear the full responsibility for any mistakes made by AI systems [37][38] - The risk of over-platformization in AI products could lead to complexity and inefficiency, potentially alienating users who require simpler solutions [39][40]

Investment Rating - The report maintains a "Positive" investment rating for the media industry [1] Core Insights - The report highlights the acceleration of AI applications and the commercialization of large models, particularly through the IPOs of companies like Zhipu and MiniMax, which are expected to enhance their business investments and technological advancements [11][21] - The gaming sector is experiencing a significant increase in the issuance of game licenses, with 1,771 licenses granted in 2025, marking a more than 20% increase from 2024, indicating ongoing policy support for the gaming industry [11][44] Summary by Sections Section 1: Zhipu and MiniMax IPOs - Zhipu and MiniMax are set to go public in Hong Kong, which is anticipated to boost their business investments and accelerate the development and application of large model technologies [11] - Zhipu focuses on B-end markets with strong capabilities in model reasoning and programming, while MiniMax targets C-end markets with a diverse product line [11][21] Section 2: Industry Data Overview - The report notes that "NBA Champion Dynasty" topped the iOS free game chart in mainland China, while "Yanyun Sixteen Sounds" led the iOS sales chart [44] - The film "Avatar 3" achieved the highest box office in the week [44] Section 3: Industry News Summary - MiniMax's daily active users surpassed 100 million, and Douyin's mini-games saw significant user and revenue growth [11] - The issuance of 147 game licenses in December 2025 reflects a robust pipeline for new game releases [11][44] Section 4: Announcement Summary - Oriental Pearl is participating in the establishment of an AI fund, and Electric Sound Co. is adjusting its fundraising projects [11] Section 5: Sector Performance Overview - The media sector performed at the lower end of the market in the 52nd week of 2025, while the internet sector showed better performance [11]

Core Viewpoint - Alibaba is continuously enhancing its multimodal model capabilities, launching advanced video and image generation models, and aiming to establish a new AI operating system through its DingTalk platform [1][2]. Group 1: Multimodal Model Developments - Alibaba released the new video generation model "Wanshang 2.6" on December 16, achieving a domestic record of 15 seconds for single video length, with added features for role-playing and scene control [1]. - The new image generation model "Qwen-Image-Layered" allows images to be decomposed into multiple layers, enabling high-fidelity editing capabilities such as scaling, moving, and recoloring [1][2]. - The company has developed a comprehensive range of visual creation capabilities, including text-to-image, image editing, text-to-video, and general video editing, which are expected to be widely applied in AI comic, advertising design, and short video creation [2]. Group 2: DingTalk AI Ecosystem - DingTalk held an AI product launch and ecosystem conference on December 23, introducing over 20 AI products, including the Agent OS and DingTalk Real device [2]. - The Agent device "DingTalk Real" facilitates secure access to internal systems and real-time data acquisition, supporting AI agents in making decisions based on real-time data [2]. - The Agent OS is designed to standardize the construction, deployment, and interaction of AI agents, while the "Wukong" feature allows for complex operational processes to be triggered and executed through dialogue [2]. Group 3: Financial Projections - The company is projected to achieve revenues of 1.03 trillion, 1.12 trillion, and 1.24 trillion yuan for FY2026-FY2028, with adjusted net profits of 116 billion, 148 billion, and 179 billion yuan respectively [3]. - The company maintains a "buy" rating due to the continuous enhancement of its AI multimodal capabilities and sustained high revenue growth in its B2B cloud business [3].

Core Viewpoint - DingTalk has officially launched Agent OS, claiming it to be the world's first AI-driven work intelligence operating system, marking a strategic shift from a mobile internet collaboration tool to an AI infrastructure [1][3] Group 1: Product Features and Innovations - The core of Agent OS is designed to run and collaborate multiple AI agents, addressing three major pain points in enterprise AI implementation: data security, model execution reliability, and commercial delivery [3] - DingTalk ONE serves as a new interactive entry point for human-AI collaboration, integrating information from various sources and proactively pushing important tasks to users [4] - DingTalk Real is an enterprise-grade AI hardware designed to ensure data security and controllability through physical isolation and emergency mechanisms [4] - AI Search Engine enables enterprises to securely access data across various formats, while "Wukong" acts as a general task processing agent capable of understanding complex instructions and executing tasks [4] - DEAP is a platform that supports enterprises in developing, deploying, and managing custom AI agents, providing comprehensive support from data labeling to billing [4] Group 2: Business Model Transformation - DingTalk is shifting from a traditional SaaS model based on user accounts to a "pay-per-result" model, aiming to directly address enterprise pain points and quantify value [5] - Demonstrated agents like the "Order Agent" can significantly reduce order processing time from 1.4 hours to under 1 minute, showcasing the potential for efficiency gains [5][8] - The "AI Travel" feature can complete itinerary planning and price comparisons in one minute, helping companies reduce travel costs by an average of 15% [8] - DingTalk emphasizes that the commercial delivery accuracy of agents must reach over 90%, linking its value directly to enterprise outcomes [8] Group 3: Strategic Shift and Market Positioning - DingTalk's new strategy reflects a shift from providing tools to co-creating industry solutions with enterprises, focusing on specific sectors like manufacturing, retail, and healthcare [8] - The company has announced an open AI ecosystem, collaborating with major model providers while facing challenges in balancing its ecosystem with external partnerships [8][9] - The transformation occurs amid intense competition from domestic players like ByteDance's Feishu and Tencent's WeChat Work, as well as international giants like Microsoft and Google [9] Group 4: Future Outlook - The new version, named "Mulan," symbolizes a fresh start, with the CEO acknowledging that many AI products are still in their early stages [10] - The success of DingTalk's ambitious vision will depend on its ability to convert this blueprint into widely accepted solutions and establish a sustainable business model [10]

Core Viewpoint - DingTalk has officially launched Agent OS, claiming it to be the world's first AI-driven intelligent operating system for work, marking a strategic shift from a mobile internet collaboration tool to foundational infrastructure for the AI era [1][3] Group 1: Product Overview - The core of this transformation is Agent OS, designed to run and coordinate multiple AI agents while addressing three major pain points for enterprises: data security, model execution reliability, and dependable commercial delivery [3] - DingTalk has developed a new product matrix including: - DingTalk ONE: A new interactive entry point for human-AI collaboration, integrating information across various applications and proactively notifying users of important tasks [3] - DingTalk Real: An enterprise-grade AI hardware designed to ensure data security and controllability through physical isolation and emergency mechanisms [3] - AI Search: An enterprise-level AI search engine that allows secure access to data and integrates mainstream large models for compliant Q&A [3] - Wukong: A general task processing agent capable of understanding complex instructions and autonomously planning steps to complete tasks [3][4] Group 2: Business Model Transformation - DingTalk is shifting its business model from traditional SaaS, which charges based on user accounts, to a "pay-for-results" model [5] - The company showcased several "commercially deliverable agents" that directly address enterprise pain points, such as: - An "Order Agent" that reduces order processing time from 1.4 hours to under 1 minute [5] - An "AI Travel" agent that can plan trips and compare prices in one minute, helping reduce travel costs by an average of 15% [5] - An "AI Customer Service" agent that quickly initiates conversations and identifies business opportunities [5] - The accuracy of commercial delivery for these agents is targeted to exceed 90%, linking DingTalk's value directly to enterprise outcomes [5] Group 3: Strategic Shift and Market Position - DingTalk's new strategy reflects a shift from providing tools to co-creating industry solutions with enterprises, focusing on specific sectors like manufacturing, retail, and healthcare [5] - Despite positioning itself as an "open AI ecosystem," DingTalk faces challenges in balancing its reliance on Alibaba's underlying capabilities with partnerships to maintain neutrality and openness [6] - The competitive landscape includes rivals like ByteDance's Feishu and Tencent's WeChat Work, as well as international players like Microsoft and Google, all vying for dominance in the AI-driven digital workspace [6] - The launch, named "Mulan," symbolizes a new beginning, with the CEO acknowledging that many AI products are still in early development stages, indicating that the success of this initiative will depend on market acceptance and sustainable business models [6]

Group 1 - DingTalk has accelerated its AI strategy with the launch of AI DingTalk 1.1 in Shanghai's Jinshan District, following the release of over 20 new AI products, including the world's first AI-designed work intelligence operating system, Agent OS [1] - Jinshan District is promoting an "AI+" industrial transformation, aiming to create a regional AI development hub characterized by active technological innovation and deep application empowerment [1] - DingTalk's CTO stated that the application of AI in enterprises has evolved from being an auxiliary tool to becoming an executor, aligning with national strategies for AI-enabled industrialization and Shanghai's goals for AI+ manufacturing [1] Group 2 - Domestic GPU leader Muxi Co. and Lixing Industrial have partnered with DingTalk, benefiting from Jinshan District's digital transformation policies and DingTalk's digital capabilities [2] - Muxi Co. has implemented DingTalk as its core digital foundation since 2021, enhancing its organizational collaboration and information security through private deployment and data management strategies [2] - Lixing Industrial focuses on intelligent assembly product development for high-end manufacturing, utilizing DingTalk to address collaboration needs and enhance security and AI capabilities starting in 2023 [2]

Core Insights - The 2025 Ding Summit in Shanghai highlighted the establishment of the first digital public service center in Jinshan District, along with the formation of an AI service ecosystem alliance and the announcement of the "Digital + Monthly Action" plan for 2026 [1] Group 1: AI Development in Jinshan District - Jinshan District is accelerating its "AI+" industrial transformation, aiming to become a regional hub for AI technology innovation and application [1] - The district is focused on creating a vibrant AI development environment with deep application integration and distinctive advantages [1] Group 2: DingTalk's AI Innovations - DingTalk recently launched over 20 new AI products, including the world's first AI-driven work intelligence operating system, Agent OS, transitioning from a traditional office collaboration platform to a future-oriented intelligent operating system [1] - The CTO of DingTalk, Zhu Hong, stated that AI applications in enterprises have evolved from being auxiliary tools to becoming executors, aligning with the goals of promoting AI-enabled new industrialization and accelerating AI+ manufacturing development in Shanghai [1] Group 3: Digital Transformation Policies and Case Studies - Jinshan District introduced policies to empower enterprises through a "policy + product" approach, aiming to reduce costs and enhance efficiency in digital transformation [2] - Domestic GPU company Muxi Co., Ltd. and Lixing Industrial Technology, both DingTalk clients, shared their digital transformation experiences, with Muxi using DingTalk as its core digital foundation since 2021 [2] - Lixing Industrial Technology, focused on high-end manufacturing assembly, began using DingTalk in 2023 to address collaboration needs and subsequently adopted DingTalk's security and AI capabilities [2]