Investment Rating - The report rates the computer industry as "Overweight," indicating that the industry is expected to outperform the overall market [9]. Core Insights - Clawdbot signifies a transition in AI product forms from "scene-level assistants" to "system-level Agent platforms," emphasizing comprehensive execution capabilities across tools and systems [3]. - The evolution of Agents is marked by a clear path from Skills to Claude Excel and Clawdbot, shifting market focus from model parameters to the ability to execute complex tasks and integrate external tools [3]. - Clawdbot's revolutionary aspect lies in its ability to understand high-level user intentions and autonomously break them down into ordered steps, enhancing automation in complex workflows [3]. - The deployment of system-level Agents faces challenges such as high complexity in enterprise deployment, data security concerns, and the need for improved stability and traceability across systems [3]. - The acceleration of Agent deployment does not imply the replacement of traditional software but rather positions Agents as intelligent interaction and automation hubs, enhancing overall efficiency [3]. Summary by Sections AI Application Key Companies Valuation - The report includes a valuation table for key AI application companies, detailing their market capitalization and projected net profits for 2024 to 2027, with notable companies such as Kingsoft Office, Yonyou Network, and Zhongkong Technology [4].

（来源：用友） 随着数智化升级进入深水区，企业对人工智能的期待已不再停留于数据描述与简单建议 ，而是迈向能够自主分析、决策并执行业务的系统级智能。企业 需要的不仅是技术工具，更是具备业务理解力、逻辑推演能力与闭环执行能力的智能伙伴。为此，1月27日用友发布以"本体（Ontology）"驱动的智能 体，通过构建企业全要素、全流程的数字孪生，让AI从辅助决策到自主决策。 01 本体智能体 构建现实世界的数字孪生 用友BIP企业AI本体智能体的核心竞争力，源于对"本体"技术的深度应用与场景落地。所谓 "本体（Ontology）"，是通过形式化方式，系统构建企业核心 概念、实体关系、业务规则和决策逻辑，为AI提供一套无歧义的共享词汇和理解框架。它并非零散的数据堆砌，而是一张描绘业务全貌、可直接执行 的"数字地图"。 "数字地图"的构建，围绕企业实体、实体关系、业务规则与流程三大核心维度展开。依托这一架构，用友BIP企业AI本体智能体实现从 "概率预测" 到 "确 定性执行" 的关键跨越。区别于与传统大模型"猜答案"、检索增强的"找答案"，本体智能体通过"懂业务"实现精准决策与执行，将AI的准确率提升至99% 以上。 ...

Group 1: Large Model + Code Intelligence Core - iFlyCode by iFLYTEK is the first domestic intelligent programming tool with voice interaction features, supporting code generation, explanation, bug correction, unit test generation, and intelligent Q&A across major programming languages [1][18] - StarRing Technology focuses on AI code generation for big data development, achieving over 90% accuracy in code generation and serving over 200 paying enterprise clients by 2025 [1][19] - Tuya Technology integrates NLP capabilities with AI programming solutions for government and financial sectors, enhancing system development efficiency and reducing maintenance costs [2][20] Group 2: IDE + AI Programming Tools Core - ZTE Information has developed SnapDevelop, an AI-assisted programming tool that increases software development efficiency by 2-3 times and supports multiple programming languages [3][22] - Wanjing Technology targets lightweight development scenarios with AI programming tools, significantly lowering the development barrier for small and medium enterprises [4][23] - CaiXun Co. provides AI programming solutions tailored for the financial sector, enhancing software development efficiency and compliance risk management [5][24] Group 3: Low-Code + AI Programming Integration - Puyuan Information integrates AI programming capabilities into its low-code development platform, improving enterprise application development efficiency by over 40% [7][24] - Jinxianda focuses on the electric power industry, utilizing a proprietary model to enhance development efficiency and customer advantages in AI programming and low-code applications [8][26] - Zhiyuan Interconnect's low-code platform has served over 10,000 enterprise clients, reducing development cycles by over 50% through AI programming capabilities [9][27] Group 4: Industry Solutions + AI Programming - Hengsheng Electronics has developed a low-code platform that integrates AI programming for the financial sector, improving development efficiency by over 60% [11][28] - Saiyi Information focuses on the manufacturing sector, providing AI programming tools that enhance software development efficiency by over 50% [12][29] - Keda Guochuang integrates AI programming into its software development for the electric power and government sectors, reducing development costs by approximately 30% [13][30] Group 5: Enterprise-Level AI Programming Solutions - New Jue Network combines AI programming with intelligent operation and maintenance services, achieving a customer repurchase rate of 83% in 2024 [15][31] - Yonyou Network integrates AI programming into its ERP systems, enhancing development efficiency by over 50% for various enterprise scenarios [16][32]

过去二十年，中国企业级服务的增长逻辑非常朴素。 我们习惯了依靠两条腿走路，一条腿是廉价的工程师红利，让我们能以极低的成本开发功能复杂的软 件；另一条腿是廉价的销售与实施红利，支撑起庞大的地面部队去填平市场的沟壑。 在很长一段时间里，这套线性增长模型行之有效，只要招更多的人，就能签更多的单，获得更高的增 长。 然而，随着人口结构的变化和薪资水平的攀升，这两大红利正在迅速消退。 如今，维持一支千人规模的直销铁军，成本已高到让企业难以承受；而客户在被互联网深度教育后，对 软件体验的挑剔程度也呈指数级上升，单纯靠堆人力做交付的模式，边际效益几近归零。 传统的 To B 商业模式正面临结构性失效，企业如果不能从根本上改变生产关系，继续依赖人海战术， 增长将无从谈起。 正是这种压力，催生了商业物种的代际更替。 我们将目光投向中国 To B 发展史上的三个切片，试图厘清这场进化的脉络。 1.0 时代，以用友、广联达为代表的资源型企业，利用渠道和行业壁垒完成了早期的跑马圈地； 01 陆军时代：一切为了管控 在云计算尚未普及、移动互联网连影子都看不到的 1.0 时代，中国 To B 市场是一片广袤而荒芜的处女 地。 那时的企业 ...

Investment Rating - The report indicates a positive investment outlook for the industry, highlighting a "golden window period" for the short drama sector, with expectations for significant growth in the coming years [2][11]. Core Insights - The short drama industry has reached a scale of nearly 1 trillion yuan, surpassing both the film and long video sectors, with a projected compound annual growth rate (CAGR) of over 50% from 2023 to 2026 [11]. - The market for animated dramas is expected to exceed 22 billion yuan by 2026, contributing 50% of the incremental growth in the short drama industry [11]. - ByteDance is positioned as the absolute leader in the animated drama sector, leveraging its "traffic + IP + AI" integrated strategy to dominate the market [2][17]. - The application of AI technology is transforming the production paradigm of animated dramas, reducing production cycles from over 50 days to under 30 days and significantly lowering costs [3][21]. Summary by Sections Section 1: The Golden Window for Short Dramas - The short drama market has surpassed 1 trillion yuan, with user engagement increasing, and the average daily viewing time expected to exceed 100 minutes by 2025 [11]. - The market has entered a phase of rapid growth and commercialization, with significant increases in both supply and demand for animated dramas [11][12]. Section 2: AI Reshaping Production Paradigms - AI technologies are enabling a shift from manual production to industrialized generation, with production costs dropping to the thousand-yuan level [3][21]. - The integration of AI in production processes is expected to streamline workflows, reducing the number of steps from 11 to 5 and cutting costs by 60% [3][24]. Section 3: Trends in AI Applications - The report anticipates a significant uptick in AI applications by 2026, driven by the need for software to leverage substantial computational investments [4][31]. - Companies are increasingly integrating AI into their business models, with some reporting that AI-related revenues account for over 10% of total income [4][31]. Section 4: Related Investment Targets - Key investment targets include companies such as DeCai Co., Zhaochi Co., and Wanxing Technology, among others, which are positioned to benefit from the growth in the animated drama and AI sectors [5][40].

Investment Rating - The report indicates a positive outlook for the computer industry, suggesting that it has fundamental support for investment and potential for future growth [1][2]. Core Insights - The computer sector is expected to experience a rebound in performance due to the recovery of the macro economy and advancements in AI technology, which are anticipated to enhance profitability [1][10]. - The report highlights a significant increase in demand for CPUs, driven by the rise of AI applications and the need for high-performance computing [16][19]. - The introduction of sandbox environments for AI agents is seen as a critical development, enhancing system security and performance in high-concurrency scenarios [22][29]. Summary by Sections Investment Allocation - In Q4 2025, the public fund allocation for the computer industry was 1.6%, a decrease of 0.8 percentage points from the previous quarter, ranking it 14th among 30 sectors [2][3]. - The top ten holdings in the computer sector included Inspur Information, Kingsoft Office, and Sangfor Technologies, with notable changes in the composition of these holdings [4][5]. Valuation Metrics - As of January 23, 2026, the PE (TTM) for the computer industry was 94.6x, placing it in the 94.80th percentile historically, while the PS (TTM) was 4.0x, in the 71.40th percentile [10][11]. - The report suggests that despite high PE levels, there is still room for growth in PS and PCF valuations as the market sentiment improves [10][11]. CPU Price Expectations - Intel and AMD are expected to raise server CPU prices by 10% to 15% in Q1 2026 due to supply constraints and increased demand from AI applications [16][21]. - The report emphasizes the growing importance of CPUs in AI workloads, particularly in managing complex tasks and ensuring system stability [19][40]. Key Investment Themes - The report identifies several key investment themes, including leadership in the digital economy, AIGC applications, and the importance of data elements and new industrialization [41][42]. - Specific companies recommended for investment include Inspur Information, Kingsoft Office, and various firms involved in AI and data solutions [41][42].

Investment Rating - The report maintains a positive outlook on the computer industry, indicating a "Buy" rating for the sector [2]. Core Insights - The computer sector is supported by strong fundamentals, with expectations of increased allocations to high-performing stocks. The sector's public fund allocation is currently at 1.6%, down 0.8 percentage points from the previous quarter, marking a low point since 2010 [2][3]. - Valuation metrics such as PE, PS, and PCF suggest that there is still room for growth in the computer sector, despite high current levels. The PE (TTM) is at 94.6x, in the 94.80% historical percentile, while PS (TTM) is at 4.0x and PCF (TTM) is at 51.6x, indicating a divergence that could be resolved as market sentiment improves [2][11]. - Anticipated price increases for server CPUs due to supply constraints and rising demand driven by AI applications are highlighted. Major players like Intel and AMD may raise CPU prices by 10% to 15% in Q1 2026 [2][18]. - The report emphasizes the importance of sandbox environments for agents, which enhance system performance and security by isolating tasks, thus improving user experience in high-concurrency scenarios [24][32]. Summary by Sections 1. Fund Holdings Analysis - The computer sector's public fund allocation decreased to 1.6% in Q4 2025, ranking 14th among 30 sectors, reflecting a decline in investor confidence [3][4]. - The top ten holdings in the computer sector include Inspur Information, Kingsoft Office, and Sangfor Technologies, with notable changes in positions among these stocks [5][6]. 2. Valuation Metrics - The report notes that the current PE (TTM) of 94.6x exceeds previous peaks in 2020 and 2023, indicating market optimism about future earnings potential [11][12]. - The divergence between PE and PS/PCF suggests that as the macroeconomic environment stabilizes, the sector's valuations may realign, leading to potential market cap growth [11][12]. 3. CPU Price Expectations - The report anticipates a supply-demand mismatch for CPUs, with significant price increases expected due to locked-in capacities and rising AI-driven demand [18][23]. - The role of CPUs is evolving, with increased responsibilities in managing complex workflows driven by AI agents, necessitating higher performance specifications [21][42]. 4. Sandbox Technology - The report discusses the growing importance of sandbox environments for AI agents, which enhance performance and security by isolating tasks and managing resources effectively [24][32]. - The sandbox model is seen as crucial for handling high concurrency and ensuring system stability, particularly in AI applications [32][40]. 5. Key Investment Themes - The report identifies several key investment themes, including digital economy leadership, AIGC applications, and new industrialization, with specific companies highlighted for each theme [45].

Core Insights - The YonSuite project launch marks PT CITEC Engineering Indonesia's entry into a new stage of enterprise-level, end-to-end, standardized intelligent digital transformation [1][2][29] - The project will utilize Yonyou's YonSuite platform to enhance key business modules such as financial management, procurement management, project management, and office automation [3][30][39] Company Overview - PT CITEC Engineering Indonesia was established in June 2014 as a joint venture between Tianjin Cement Industry Design & Research Institute Co., Ltd. and Indonesian partner PT Arona Perkasa Pratama [5][6][32] - The company leverages deep technical expertise in cement engineering and a strong understanding of the Indonesian market to provide integrated engineering services [7][34][35] - CITEC Engineering aims to create long-term value through a customer-centric approach and has grown to be an influential engineering service provider in Indonesia and Southeast Asia [8][35][38] Project Significance - The management team emphasized the strategic importance of the intelligent digital transformation project for regional development, organizational capability building, and long-term competitiveness [10][11][37] - The project is seen as a shift from a "project-driven" model to a "platform-driven and capability-driven" approach, focusing on standardized and scalable management capabilities [12][39][41] - A unified data platform and standardized management system will facilitate a transition from results-oriented to process-oriented management, enhancing transparency and sustainability [13][40][41] Future Goals - The project is designed to support not only current business growth but also the company's regional, scaled, and refined operation goals over the next three to five years [14][38][41] - Through collaboration with Yonyou, CITEC Engineering aims to establish a replicable and promotable intelligent digital management model for the engineering industry [14][41][44] Partnership with Yonyou - The partnership with Yonyou is positioned as a significant step towards high-quality growth for engineering enterprises, focusing on management capability upgrades [16][44][46] - Yonyou Indonesia will leverage its global product capabilities and localized service network to assist enterprises in their transformation towards high-quality and sustainable development [19][46][53]

（来源：用友） Jakarta｜20 Jan 2026 2026 年 1 月 20 日，Orang Tua Group (OT集团) × PT Yonyou Network Indonesia（用友印尼）YonBIP 项目启动会在 Orang Tua Group 雅加达总部顺利举行。 本次启动会由 Orang Tua Group 与用友印尼项目团队共同出席，集团管理层与项目核心成员齐聚一堂，围绕集团级数智化建设目标、项目实施路径及阶段 性规划展开深入交流，标志着 Orang Tua Group 正式开启新一代业财一体化与数智化升级进程。 Orang Tua Group 方面，首席执行官 Mr Chu Shen 和 Mr Chu Chiang、首席运营官 Mr Adi Winata、首席财务官 Mrs Ratnasari SE 等集团核心管理层出席会 议，集团核心决策层代表亦到场参与；用友方面，用友网络副总裁、用友海外区总经理郭葆春博士，用友印尼总经理徐华、副总经理赵兴才及项目团队代 表共同参会，现场齐聚近百人见证项目正式启动。 On January 20, 2026, the Orang Tua Group ...

核心观点：用友公司自第二季度起，合同签约金额恢复正增长，与此同时四季度已经扭亏，是否迎来困 境反转？需要注意的是，公司基本盘云业务营收疑似停滞增长，订阅相关的合同负债增速与订阅相关收 入增速双双下滑。此外，公司在大客户依赖背景下，公司现金流较为波动，与此同时账面资金难以覆盖 短期债务。 近日，用友网络发布25年业绩预告，公司仍然陷入持续亏损之中。 公告显示，用友网络预计2025年度实现归属于母公司所有者的净亏损为13亿元到13.9亿元，同比减亏 6.71亿元到7.61亿元。 对于亏损原因，公司给出如下解释，其一，尽管公司2025年度收入实现正增长，但因公司第一季度收入 同比降幅较大，同时更大力度推进向订阅业务模式转型，导致全年收入增速不高；其二，公司2025年度 的成本费用较高，其中无形资产摊销金额约12.4亿元（主要是公司面向数字化与智能化的新一代产品研 发形成的无形资产的摊销），同比增长约2.4亿元。 出品：新浪财经上市公司研究院 文/夏虫工作室 基本盘云业务营收停滞增长 用友近年业务大转型，其主要目标从传统的软件产品提供商，向全球领先的企业与公共组织云服务与软 件提供商等方向切入，商业模式也将由一次性销 ...