Investment Rating - The report maintains a positive outlook on the computer industry for Q2 2025, indicating an expected improvement in performance [2][4]. Core Insights - The report predicts a gradual recovery in industry profits starting from Q2 2025, with revenue growth rates of 5% and 21% for Q4 2024 and Q1 2025 respectively, and net profit growth rates of -68% and 82% [4][5]. - A total of 55 tracked A-share and Hong Kong-listed computer companies are analyzed, with 13 companies expected to achieve over 50% net profit growth, representing 23.6% of the sample [4][5]. - The report identifies key investment targets across various segments, including AIGC, digital economy leaders, and data innovation [4][5]. Summary by Category Company Performance Predictions - Companies with over 50% net profit growth include: - Jinzheng Co. (4493%) - Zhongke Chuangda (333%) - Zhina Zhen (313%) - Kalait (265%) - Hengsheng Electronics (233%) [4][5][6]. - Companies with 30%-50% net profit growth include: - Dameng Data (48%) - Fanwei Network (39%) - New Point Software (38%) [4][5][6]. - Companies with 0%-30% net profit growth include: - Dongfang Caifu (27%) - Haiguang Information (27%) - Desai Xiwai (27%) [4][5][6]. - Companies with -30% to 0% net profit growth include: - Weining Health (-4%) - Nova Star Cloud (-11%) [4][5][6]. - Companies with less than -30% net profit growth include: - Qiming Star (-30%) - Top Point Software (-36%) [4][5][6]. Key Investment Targets - AIGC Segment: Jinshan Office, Wanxing Technology, Daotong Technology, Hongsoft Technology, and others [4]. - Digital Economy Leaders: Hikvision, Jinshan Office, Hengsheng Electronics, and others [4]. - Data Innovation: Haiguang Information, Ruantong Power, Suocheng Technology, and others [4]. - AIGC Computing Power: Langchao Information, Haiguang Information, and others [4].

Investment Rating - The report maintains a positive investment rating for the domestic computing power and AI application sectors, highlighting significant growth potential in these areas [6]. Core Insights - A new round of AI "arms race" has commenced globally, with the release of major models like Grok4 and Kimi K2 expected to significantly boost domestic computing power demand and application ecosystems [4][10]. - The report emphasizes the importance of focusing on domestic AI computing power, particularly in chip design, advanced wafer manufacturing, and liquid cooling technologies [4]. - Various AI application sectors are highlighted, including office automation, programming, terminal AI, ERP/CRM, judicial applications, financial/taxation services, education, healthcare, and customer service [4]. Summary by Sections Market Review - During the week of July 7-11, the CSI 300 index rose by 0.82%, the SME index increased by 0.73%, and the ChiNext index saw a rise of 2.36%. The computer sector (CITIC) experienced a growth of 3.37% [2]. Industry News - Notable company developments include Zhuoyi Information's plan to reduce its shareholding by up to 2,271,445 shares, representing no more than 1.88% of total shares [3]. - Wanjie Technology received nine invention patent certificates from the National Intellectual Property Administration [3]. Weekly Insights - The report suggests focusing on key players in the domestic AI computing power sector, such as Cambrian and Haiguang Information in chip design, and SMIC in advanced wafer manufacturing [4]. - The report also identifies various AI application companies across different sectors, including Kingsoft Office, Hehe Information, and Keda Xunfei in office automation and education [4]. Recent Developments - The report outlines significant investments and acquisitions in the AI sector, including Amazon's potential additional investment in Anthropic and Google's acquisition of AI programming startup Windsurf's core talent and technology [16][17]. - The report notes that xAI, led by Elon Musk, is negotiating a new funding round that could value the company at up to $200 billion, reflecting the growing interest and investment in AI technologies [10][18]. AI Application Ecosystem - The report highlights the rapid growth of AI applications, with OpenAI and Anthropic achieving annual recurring revenues (ARR) of $10 billion and $3 billion, respectively [22]. - Domestic AI applications like deepseek and Doubao are showing significant commercial potential, with user engagement metrics comparable to leading international AI applications [22]. Global AI Company Rankings - The report provides a ranking of global AI companies based on their ARR, with OpenAI leading at $10 billion, followed by Anthropic at $3.008 billion [23].

Core Points - The company held its 23rd meeting of the 4th Supervisory Board on June 20, 2025, to discuss key resolutions [1][2] - The Supervisory Board approved adjustments to the grant prices for the 2022 and 2024 restricted stock incentive plans, setting the prices at 32.83 yuan/share and 20.04 yuan/share respectively [1][2] - The Board also approved the use of idle self-owned funds for cash management, ensuring that it does not affect the company's normal operations and prioritizes fund safety [2] Meeting Details - The meeting was convened in accordance with the Company Law and relevant regulations, with all three supervisors present [1] - The resolutions were passed unanimously with 3 votes in favor, and no votes against or abstentions [2] Financial Management - The decision to use idle funds for cash management aims to enhance fund utilization efficiency and secure good returns on investments [2]

证券代码：688095 证券简称：福昕软件 公告编号：2025-030 福建福昕软件开发股份有限公司 关于调整 2022 年、2024 年限制性股票激励计划 授予价格的公告 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 福建福昕软件开发股份有限公司（以下简称"公司"）于 2025 年 6 月 20 日 召开第四届董事会第二十四次会议、第四届监事会第二十三次会议，审议通过了 《关于调整 2022 年、2024 年限制性股票激励计划授予价格的议案》。 因公司 2024 年年度权益分派实施完毕，根据公司《2022 年限制性股票激励 计划（草案）》的有关规定及公司 2022 年第二次临时股东大会的授权，董事会对 2022 年限制性股票激励计划的授予价格进行了调整，授予价格（含预留）由 33.13 元/股调整为 32.83 元/股；根据公司《2024 年限制性股票激励计划（草案）》的有 关规定及公司 2024 年第二次临时股东大会的授权，董事会对 2024 年限制性股票 激励计划的授予价格进行了调整，授予价格由 20.34 元/股调 ...

中国深圳市南山区前海大道前海嘉里商务中心 T2 栋 1401A 室 邮政编码 518054 电话: (86-755) 2155-7000 传真: (86-755) 2155-7099 北京市竞天公诚（深圳）律师事务所 关于福建福昕软件开发股份有限公司 调整 2022 年及 2024 年限制性股票激励计划授予价格 相关事项之法律意见书 致：福建福昕软件开发股份有限公司 北京市竞天公诚（深圳）律师事务所（以下简称"本所"）接受福建福昕软件 开发股份有限公司（以下简称"福昕软件"或"公司"）的委托，就公司调整 2022 年及 2024 年限制性股票激励计划授予价格事宜（以下简称"本次调整"）担任专 项法律顾问，并出具《北京市竞天公诚（深圳）律师事务所关于福建福昕软件开 发股份有限公司调整2022年及2024年限制性股票激励计划授予价格相关事项之 法律意见书》（以下简称"本法律意见书"）。 为出具本法律意见书，本所律师审阅了《福建福昕软件开发股份有限公司 2022 年限制性股票激励计划（草案）》（以下简称"《2022 年限制性股票激励计划 （草案）》"）、《福建福昕软件开发股份有限公司 2024 年限制性股票激励计划 ...

证券代码：688095 证券简称：福昕软件 公告编号：2025-031 福建福昕软件开发股份有限公司 关于使用闲置自有资金进行现金管理的公告 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 福建福昕软件开发股份有限公司（以下简称"公司"）于 2025 年 6 月 20 日 召开第四届董事会第二十四次会议和第四届监事会第二十三次会议，分别审议通 过了《关于使用闲置自有资金进行现金管理的议案》，同意公司使用不超过人民 币 10 亿元的闲置自有资金进行现金管理。在确保不影响公司主营业务正常开展， 保证运营资金需求和风险可控的前提下，使用闲置自有资金用于购买安全性高、 流动性好的投资产品（包括但不限于结构性存款、定期存款、通知存款、大额存 单、协定存款、证券公司保本型收益凭证、信托产品及国债逆回购等），且该等 现金管理产品不得用于质押，不得实施以证券投资为目的的投资行为。使用期限 自第四届董事会第二十四次会议审议通过之日起 12 个月内有效。在不超过前述 额度及期限范围内，资金可循环滚动使用。具体事项由公司财务部负责组织实施。 该事 ...

公司监事会认为：因 2024 年年度权益分派实施完毕，公司对 2022 年、2024 年限制性股票激励计划授予价格进行相应调整，符合《上市公司股权激励管理办 法》《2022 年限制性股票激励计划（草案）》及《2024 年限制性股票激励计划（草 案）》中关于授予价格调整方法的规定，不存在损害公司及股东利益的情形。因 此，监事会同意 2022 年限制性股票激励计划授予价格（含预留）调整为 32.83 元/股，2024 年限制性股票激励计划授予价格调整为 20.04 元/股。 证券代码：688095 证券简称：福昕软件 公告编号：2025-029 福建福昕软件开发股份有限公司 第四届监事会第二十三次会议决议公告 本公司监事会及全体监事保证公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 一、 监事会会议召开情况 福建福昕软件开发股份有限公司（以下简称"公司"）第四届监事会第二十 三次会议通知于 2025 年 6 月 17 日以电子邮件方式发出，于 2025 年 6 月 20 日在 福州市鼓楼区软件大道 89 号福州软件园 G 区 5 号楼公司会议室以现场结合 ...

证券代码：688095 证券简称：福昕软件 公告编号：2025-028 福建福昕软件开发股份有限公司 第四届董事会第二十四次会议决议公告 表决结果：赞成 5 票，反对 0 票，弃权 0 票，表决通过。 回避表决情况：董事 George Zhendong Gao、翟浦江作为关联董事，回避对 该议案的表决。 （二）审议通过《关于使用闲置自有资金进行现金管理的议案》 一、董事会会议召开情况 福建福昕软件开发股份有限公司（以下简称"公司"）第四届董事会第二十 四次会议通知于 2025 年 6 月 17 日以电子邮件方式发出，于 2025 年 6 月 20 日在 福州市鼓楼区软件大道 89 号福州软件园 G 区 5 号楼公司会议室以现场结合通讯 的方式召开。会议应到董事 7 名，实际出席董事 7 名，公司监事、高级管理人员 列席本次会议。本次会议由公司董事长熊雨前先生主持，会议的召开符合《中华 人民共和国公司法》《中华人民共和国证券法》等法律、法规、规范性文件及《公 司章程》的有关规定。 二、董事会会议审议情况 （一）审议通过《关于调整 2022 年、2024 年限制性股票激励计划授予价格 的议案》 因公司 2024 ...

Industry Rating - The industry rating is maintained at "Outperform" [1] Core Insights - The report suggests that the years 2025-2026 are expected to mark the commercialization of AI Agents, driven by advancements in large model capabilities and the introduction of key players like OpenAI, Anthropic, Microsoft, and Google [2][3] - The total addressable market (TAM) for AI Agents is estimated at approximately 3.61 trillion yuan, with significant opportunities in vertical industries such as IT and finance [2][3] - AI Agents are projected to replace specific standardized roles in various sectors, with a focus on enhancing productivity and ROI for businesses [3][48] Summary by Sections Investment Rating - The report maintains a rating of "Outperform" for the industry [1] Market Potential - The total addressable market (TAM) for AI Agents is estimated at 3.61 trillion yuan, calculated based on total salary levels, replacement rates, and efficiency optimization [50][54] - The report highlights six core scenarios where AI Agents are expected to penetrate first, including coding, banking, human resources, legal, cybersecurity, and customer service [61][62] Key Industry Insights - AI Agents are anticipated to significantly impact the banking sector, with 54% of jobs having a high potential for automation, leading to an estimated TAM of 1774.32 billion yuan in this field [71][77] - In the coding sector, AI is expected to automate up to 99% of coding tasks by the end of 2025, with a TAM of approximately 4357.84 billion yuan [63][68] - The report emphasizes that AI Agents will first replace roles in high-salary, white-collar industries such as finance, IT, and law, where the ROI for AI implementation is more favorable [55][57] Company Recommendations - The report suggests monitoring companies involved in general office applications and enterprise SaaS, as well as those in vertical markets like banking, human resources, and cybersecurity [3][4]

Group 1: Global AI Outlook - The report highlights a new paradigm in AI development characterized by new scaling, new architecture, and new total addressable market (TAM) opportunities [1] - The demand for computing power is expected to rise due to advancements in both training and inference processes, potentially unlocking new TAMs [1][3] - The report maintains a positive outlook on AI industry investments, anticipating that global AI applications will enter a performance harvesting phase [1] Group 2: Model Development - The pre-training scaling law is anticipated to open a new starting point for model development, with significant innovations in architecture being explored [2][23] - The report notes that the classic transformer architecture has reached a parameter scale bottleneck, with existing public data nearly exhausted [2][20] - Major tech companies are experimenting with new architectures, such as Tencent's Hunyuan TurboS and Google's Gemini Diffusion, which may accelerate scaling law advancements [23][24] Group 3: Computing Power Demand - The report identifies a clear long-term upward trend in computing power demand, driven by both training and inference needs [3][32] - New scaling paths are emerging in the post-training phase, with ongoing exploration of new architectures that may reignite pre-training demand narratives [3][33] - The deployment of large-scale computing clusters, such as OpenAI's StarGate, is expected to support the exploration of pre-training [38] Group 4: Application Development - The report indicates that the rapid advancement of agent applications is leading to a performance harvesting phase for global AI applications [4][67] - The commercialization of agent products is accelerating, with domestic AI applications quickly iterating and entering the market [4][67] - The report emphasizes that agent applications are evolving from simple tools to complex solutions, with significant growth expected in various sectors [5][68] Group 5: Business Model Transformation - The shift from traditional software delivery to outcome-based delivery is highlighted as a key trend, with quantifiable ROI accelerating the adoption of agent applications [5] - Specific sectors such as consumer-facing scenarios (advertising, e-commerce) and AI in marketing/sales are expected to lead in commercialization due to their inherent advantages [5][67] - The report notes that AI applications in HR are transitioning from efficiency tools to strategic hubs, indicating a broader transformation in business models [5][67]