Investment Rating - The report maintains an "Overweight" rating for the computer sector, recommending stocks such as Han's Information, Rilian Technology, Kingsoft Office, Hehe Information, Hikvision, Newland, Daotong Technology, and Haiguang Information, with Zhongke Shuguang as a related stock [3][4]. Core Insights - The domestic AI large model industry is experiencing a critical phase of accelerated technological productization and deepening capital market engagement. Volcano Engine released the Doubao large model 1.8 and the video generation model Seedance 1.5 Pro, achieving significant technological breakthroughs and reducing enterprise usage costs through innovative business models [3][4]. - The Ministry of Industry and Information Technology has issued the first L3 level autonomous driving vehicle permits, marking a transition to "conditional commercial application" for autonomous driving in China. This includes specific models from Changan and BAIC Arcfox, with speed limits set for initial operations [3][4]. - Domestic GPU companies are actively pursuing capital market opportunities, with TianShu ZhiXin and BiRan Technology having passed listing hearings, aiming to raise funds for advanced chip development and market expansion. The successful listings of MoEr Thread and MuXi shares on the STAR Market have demonstrated strong market interest in domestic high-end chip sectors [3][4]. Summary by Sections AI Large Model Development - Volcano Engine's Doubao large model 1.8 and Seedance 1.5 Pro have entered the global first tier in multi-modal and intelligent capabilities, with daily token processing exceeding 50 trillion [3][4]. - The listings of Zhizhu AI and MiniMax on the Hong Kong Stock Exchange are expected to provide quantifiable secondary market valuation benchmarks for the large model industry [3][4]. Autonomous Driving - The issuance of L3 level permits signifies a cautious regulatory approach prioritizing safety, with vehicles' operational responsibilities assigned to manufacturers rather than drivers [3][4]. - Initial sales of these vehicles will be limited to designated operators, providing essential practical data for refining technical standards and legal frameworks [3][4]. GPU Market Dynamics - Domestic GPU firms are intensifying their efforts to enter the capital market, with TianShu ZhiXin planning to raise $300 to $400 million and BiRan Technology also pursuing a listing [3][4]. - The successful market entries of MoEr Thread and MuXi have highlighted the strong investor interest in the domestic semiconductor industry, particularly in high-end chip design [3][4].

Core Insights - Global technology investment enthusiasm remains high in 2025, but there is a structural differentiation characterized by "strong computing power, weak applications" [3] - Major global tech giants are significantly increasing capital expenditures, benefiting upstream computing chips and supporting hardware, while the computer/software sector faces three pressures: 1) Software companies' performance growth is overall lower than that of the computing chain; 2) Software company valuations are not cheap compared to hardware; 3) Concerns about "large models consuming software" continue to grow [3] - By Q3 2025, domestic public funds are underweight in the computer sector by 1.7 percentage points [10] Market Review: AI Applications' Concerns and Breakthroughs - The performance of the computer/software sector in both China and the US has been weak, with software and service-focused indices significantly underperforming hardware and semiconductor indices [5] - As of December 12, 2025, the A-share computer index has risen by 15.15%, lagging behind the 49.16% increase in the ChiNext index and the 45.90% increase in the electronic index [5] - In the US market, the IGV software index has only increased by 7.84%, underperforming the 22.52% rise in the Nasdaq Composite and the 39.75% increase in the SOXX semiconductor index [5] Opportunities in Chinese AI Applications 1. Deepening Industrial Applications - China possesses the world's only complete industrial system, providing high-value real-world data, application scenarios, and energy supply, which will foster diverse agent forms [27] - The construction of a modern industrial system is prioritized in the "14th Five-Year Plan," with expectations for intensive policy support for "Artificial Intelligence+" during this period [39] 2. Expanding Overseas - AI application teams in China can leverage "extreme efficiency + global pricing" arbitrage, with the engineer dividend in China continuing to expand [3] - Many computer companies prioritize overseas strategies, with overseas revenue growth generally outpacing domestic growth [64] 3. Reconstructing Edge AI - Internet giants and AI startups are actively exploring edge forms in the AI era, integrating deeply with existing consumer electronics and developing new AI-native hardware [3] - The shipment volume of related products is expected to have high growth potential as hardware and algorithms mature [3] Investment Recommendations - Focus on companies with industry know-how and data for industrial empowerment, such as Hikvision, Dahua Technology, and Han's Laser [3] - Prioritize AI application companies with high overseas revenue proportions, including Foxit Software and Kingsoft Office [3] - Pay attention to AI hardware brands and algorithm vendors benefiting from the emergence of blockbuster products, such as Rainbow Soft and iFlytek [3]

Group 1 - The first batch of ETFs tracking the Innovation and Entrepreneurship AI Index has been launched, with the largest being the E Fund Innovation and Entrepreneurship AI ETF (159140) at a scale of 1.336 billion CNY [10][11] - The investment value and logic in the AI sector are increasingly recognized, with many brokerages projecting AI to remain a key investment theme in the stock market through 2026 [1][2] - The recent economic work conference emphasized the need to "deepen and expand" the integration of AI, indicating strong policy and financial support for the sector in the coming year [2] Group 2 - The focus has shifted from model competition to practical application of AI, with diverse applications in finance, healthcare, and education, which will drive demand for computing power and infrastructure [3] - The Innovation and Entrepreneurship AI Index is uniquely positioned, selecting 50 major companies from the Sci-Tech Innovation Board and the Growth Enterprise Market, specifically targeting leading firms in the AI sector [4][5] - The index captures the strengths of both the communication equipment and semiconductor sectors, with over 70% of its composition in these areas, aligning with global AI computing demand and domestic development [5] Group 3 - The leading stocks within the index are primarily from the optical module and semiconductor sectors, indicating a high concentration that could drive the index's performance during an upcycle in the AI industry [7] - Profit forecasts for the index's constituent stocks show significant growth, with expected revenue growth rates of 36.16% and 25.08% for 2026 and 2027, respectively, and net profit growth rates of 81.99% and 34.58% for the same years [8][9] - The index's design allows for a streamlined investment approach, enabling investors to gain exposure to both optical modules and semiconductors simultaneously [7]

Core Insights - The collaboration between Kingsoft Office and Nanjing University of Posts and Telecommunications has led to the development of an AI-driven "Campus Brain" that enhances student services and information accessibility [1][2][6] Group 1: AI Integration in Campus Services - The WPS 365 platform provides instant responses to student inquiries, transforming the traditional model of information retrieval into a proactive service that delivers relevant information directly to students [2][6] - The platform has integrated over 40 million pieces of information across 15 categories, including policy databases and psychological counseling resources, to support educational decision-making [2][6] - The AI capabilities of WPS 365 allow for a full cycle of interaction, from question to answer, including guidance and follow-up actions, thereby improving the efficiency of student services [3][6] Group 2: Enhanced Learning and Career Support - The AI features significantly increase learning efficiency, allowing students to summarize academic papers in seconds rather than hours, thus facilitating quicker comprehension and knowledge acquisition [3][4] - The platform's resume-building tool has reduced the time required to create a professional resume from over three hours to just ten minutes, enhancing students' employability [4][5] - AI-driven solutions for organizing and planning student activities have streamlined event management, enabling students to focus more on their interests rather than administrative tasks [4][6] Group 3: Educational Ecosystem Transformation - The partnership aims to address key challenges in educational digitalization, such as fragmented information, passive service delivery, and operational gaps, thereby reshaping the educational ecosystem [6][7] - Kingsoft Office has established a comprehensive service system in the education sector, collaborating with over 1,000 universities and developing integrated teaching platforms for more than 200 institutions [6][7] - Recent upgrades to WPS 365 include new products and enhancements to core AI functionalities, emphasizing the importance of integrating large model engines and organizational knowledge for effective decision-making [7]

Core Insights - The AI industry is witnessing a significant transformation with the integration of Agents into workflows, marking a shift from traditional tools to more collaborative and intelligent systems [1][18] - Major companies are rapidly developing multi-modal AI tools, creating a competitive landscape where the focus is on comprehensive capabilities rather than isolated functionalities [2][19] - The evaluation of AI Agents is based on three key standards: multi-modal generation capability, knowledge base integration, and human-AI collaboration [5][6] Group 1: Industry Developments - The release of Nano Banana has disrupted the creative tools market by fundamentally changing how designers work, showcasing AI's scalable output capabilities [1] - In the international market, tools like Microsoft Copilot and Google Gemini have established a multi-modal office and creative tool ecosystem, while domestic players like Baidu and Tencent are also making significant strides [2] - The emergence of a competitive landscape is evident as companies strive to define the next generation of creative and office scenarios, with a focus on who will become the "Chinese Nano Banana" [2][19] Group 2: Agent Evaluation Criteria - The evaluation framework for AI Agents includes three levels: the ability to produce complete workflows, form data loops, and continuously accumulate knowledge and memory [2][3] - The first standard is the ability to generate multi-modal content, moving from single-point solutions to comprehensive task management [5][6] - The second standard focuses on the integration of knowledge bases, which allows for the systematic accumulation and application of data across various tasks [5][6] Group 3: Product Comparisons - A comparative analysis of five leading domestic AI Agents reveals a generational divide, with only two companies advancing to the third stage of capability [2][7] - GenFlow3.0 stands out as the only platform with full multi-modal creative capabilities, while others like Quark and WPS are in the second tier, lacking certain functionalities [9][10] - The compatibility of these platforms with Office systems is crucial, with GenFlow3.0 achieving native-level compatibility, enabling seamless integration into existing workflows [11][12] Group 4: Future Directions - The AI application landscape is evolving towards a "淘汰赛" (elimination round) where competition will be based on comprehensive product capabilities rather than just model parameters [18][19] - The ultimate goal for AI Agents is to become partners in the creative process rather than mere tools, emphasizing the need for deep integration into complex work environments [20][21] - The next generation of Agents must focus on reconstructing three core capabilities to transition from being simple tools to long-term collaborative partners in the workplace [21][22]

Core Insights - The 15th Cybersecurity Vulnerability Analysis and Risk Assessment Conference highlighted breakthroughs in the domestic innovation (信创) sector, particularly in software compatibility and interface consistency, which are reducing migration costs significantly [1][2] - The domestic software industry is transitioning from "tool replacement" to "productivity reconstruction," driven by innovations such as digital employees and intelligent knowledge bases [1] - The year 2025 is identified as a critical turning point for the domestic innovation industry, with the potential for market growth and deeper integration of domestic software solutions [1] Industry Developments - The domestic innovation sector is currently in a phase driven by "policy + technology + market," with ongoing cost pressures and technological breakthroughs facilitating implementation [1] - The announcement of a potential 33% price increase by Microsoft for commercial subscriptions starting in 2026 presents an opportunity for the domestic innovation office ecosystem [1] - The construction of a self-controllable office ecosystem is deemed essential for ensuring digital security and enhancing cost efficiency [1] Technological Advancements - Beijing Kingsoft Office Software Co., Ltd.'s WPS 365 has developed an AI collaborative office platform that integrates core AI products, marking a significant shift from "usable" to "user-friendly" domestic office software [1] - Document intelligent parsing is identified as a core entry point for office data flow, breaking foreign monopolies and contributing to a robust domestic technology foundation [1] - The integration of domestic software with national encryption algorithms and zero-trust architecture is creating a "smart + secure" technology system, providing viable upgrade paths for critical industries such as finance and energy [1] Market Outlook - The domestic innovation office sector is experiencing a tiered development pattern, with small and medium enterprises leading the way in basic replacements due to cost pressures, while large enterprises deepen their applications through AI capabilities [2] - The market size of China's domestic innovation industry is projected to exceed 20 trillion yuan by 2025, with office software being a core application driving the autonomous and controllable process across the entire industry chain [2] - The dual push from policy and market forces is accelerating the penetration of domestic innovation office software, which is expected to become a crucial support for the safe development of the digital economy in the next three years [2]

Investment Rating - The report maintains a positive outlook on the computer industry, with key targets including Hand Enterprise, Wuxi Unicomp Technology Co., Ltd., Beijing Kingsoft Office Software, Hehe Information, Hikvision, Newland Digital Technology, Autel, and Hygon, with Dawning Information Industry as a related target [3][8]. Core Insights - Recent developments in the tech sector indicate that AI is advancing in both specialization and terminalization, exemplified by OpenAI's breakthroughs with the GPT-5.2 series and Zhipu's efforts to popularize cellphone AI [3][8]. - The USA has conditionally approved the export of NVIDIA's H200 AI chips to China, but this comes with significant restrictions, including generational locks and a requirement for a 25% sales commission to the US Treasury [3][8]. - In the commercial space sector, the Long March 12 rocket's frequent launches demonstrate efficient deployment capabilities, and the establishment of the "Space Computing Joint Laboratory" enhances domestic capabilities in space technology [3][8]. Summary by Sections AI Technology Developments - AI technology has made significant strides, with OpenAI's GPT-5.2 achieving expert-level performance in GDPval benchmarks, enhancing capabilities in long document reasoning and complex tool usage [3][8]. - Zhipu AI has open-sourced its cellphone project Open-AutoGLM, allowing AI to interact with mobile screens for cross-application tasks, significantly lowering development barriers for high-performance AI assistants [3][8]. Geopolitical and Supply Chain Considerations - The conditional approval for NVIDIA's chip exports reflects a complex geopolitical landscape, with the US aiming to protect national security while providing limited options for Chinese markets [3][8]. - The stringent conditions attached to the chip exports are expected to accelerate China's pursuit of domestic alternatives, fostering the growth of local AI computing capabilities [3][8]. Commercial Space Advancements - The Long March 12 rocket successfully launched 16 low-orbit satellites within 32 days, showcasing China's efficient deployment capabilities for large satellite constellations [3][8]. - The "Space Computing Joint Laboratory," established in collaboration with Shanghai Jiao Tong University and Guoxing Aerospace, focuses on developing autonomous space computing chips and in-orbit maintenance technologies [3][8].

Core Points - The Sci-Tech ETF (588050) opened down 1.01% at 1.369 yuan on December 15 [1] - Major holdings in the ETF include companies like SMIC, Haiguang Information, and Cambrian, with varying performance; SMIC down 1.41%, Haiguang down 1.05%, and Cambrian down 2.08% [1] - The ETF's performance benchmark is the Shanghai Stock Exchange Sci-Tech 50 Index, managed by ICBC Credit Suisse Asset Management, with a fund manager named Zhao Xu [1] - Since its establishment on September 28, 2020, the ETF has returned -3.35%, with a one-month return of -2.02% [1] Company Performance - SMIC opened down 1.41% [1] - Haiguang Information opened down 1.05% [1] - Cambrian opened down 2.08% [1] - Lanke Technology opened down 2.02% [1] - Zhongwei Company opened up 0.16% [1] - United Imaging opened down 0.14% [1] - Kingsoft Office opened down 1.27% [1] - Chipone Technology opened down 5.06% [1] - Stone Technology opened down 0.99% [1] - Transsion Holdings opened down 0.45% [1]

Group 1: Industry Overview - The computer industry has shown steady revenue growth and improved profit margins, with total revenue reaching 939.34 billion yuan in the first three quarters of 2025, a year-on-year increase of 9.4% [11] - The software development sub-industry has seen significant profit improvements, while the computer equipment sub-industry remains relatively high in terms of market sentiment [11] - The industry has experienced a volatile upward trend since the beginning of 2025, with the computer industry index rising by 18.54% as of November 28, 2025, outperforming the CSI 300 index by 3.5 percentage points [18] Group 2: Algorithm and Applications - The global landscape of large models is rapidly evolving, with significant competition among closed-source models from companies like Google, Anthropic, and OpenAI, while domestic open-source models like Kimi K2 and MiniMax-M2 maintain a leading position [27][30] - The focus of large model applications is shifting towards programming, enterprise services, and office productivity tools, indicating a convergence in the market [42] - The integration of multi-modal capabilities and AI agents is becoming a competitive focal point in the large model market, expanding the boundaries of model tasks [32][34] Group 3: Computing Power - The AI computing power market is experiencing high demand, with the global AI server market projected to grow at a CAGR of 15.5% from 2024 to 2028, while China's market is expected to grow at a CAGR of 30.6% during the same period [10] - The domestic AI computing power chip industry is poised for growth due to strong policy support and increasing downstream demand, with a clear trend towards self-sufficiency [10][22] Group 4: Intelligent Driving - The penetration rate of Navigate on Autopilot (NOA) features is increasing, indicating a rapid commercialization of the intelligent driving industry in China, with the market size expected to exceed 300 billion yuan by 2030 [4] - Major players like Tesla and Xpeng are advancing their intelligent driving technologies, with significant updates and new model releases enhancing their market positions [4][5] Group 5: Investment Recommendations - The report maintains a "stronger than market" rating for the computer industry, highlighting investment opportunities in AI computing power, algorithms, and intelligent driving sectors [5] - Specific stock recommendations include companies like Zhongke Chuangda, Haiguang Information, and Industrial Fulian in the AI computing power segment, and companies like Daotong Technology and Kingsoft Office in the AI algorithm and application space [5][6]

Group 1: Industry Changes - The computer industry in 2026 will witness a convergence of "industrial cycles" and "policy cycles," marking a decisive year for both existing tasks and new growth opportunities [2][3] - AI applications are expected to reach a critical point of explosion, transitioning from a phase of high expenditure to profitability, with significant scale deployment in vertical scenarios [11] - Domestic computing power has evolved from being a backup to becoming fully usable in training and inference for domestic large models, with 2026 anticipated to be a year of comprehensive replacement [12] - The completion of the "信创" (Xinchuang) initiative is set for 2027, making 2026 a peak year for bidding and delivery, with strong performance certainty for related companies [13] Group 2: Policy Changes - The "十四五" (14th Five-Year Plan) elevates commercial aerospace to a national strategic level, with 2026 expected to be a year of industry explosion driven by satellite networking and reusable rockets [6] - The low-altitude economy is transitioning from policy enthusiasm to industrial heat, with substantial construction expected in 2026 due to infrastructure standards and special bonds [6] - The integration of AI with various industries is emphasized in the "十四五" plan, aiming for deep integration in manufacturing, healthcare, transportation, and finance, which will enhance productivity and create greater economic value [20][36] Group 3: Investment Recommendations - Companies in the AI application sector should be selected based on their alignment with national policies and the "AI+" initiative, focusing on sectors like agriculture, industrial software, and healthcare [36] - Companies with strong foundational platforms and aggregation entry points for large models are recommended for long-term investment, such as Alibaba and iFlytek [37] - Data barrier companies that possess proprietary data to train models are crucial, with a focus on firms like 海天瑞声 (Haitian Ruisheng) and 同花顺 (Tonghuashun) [38] - Companies that dominate high-frequency usage scenarios, such as 金山办公 (Kingsoft Office) and 东方财富 (Eastmoney), are positioned to benefit significantly from AI integration [40]