继推出万兴剧厂、千万级投资爆款漫剧制作厂商灵漫快创后，2月5日，AIGC软件A股上市公司万兴科技（300624.SZ）对外宣布加码其AI漫剧战略，斥资数 千万元战略投资专注于多模态通用大模型研发的人工智能企业生数科技，同时双方正式达成战略合作，将进行"大模型+工具+场景"的生态级共创，打造AI 漫剧工业化生产新范式。双方在深圳举办战略投资合作签约仪式，万兴科技董事长吴太兵、生数科技CEO骆怡航等双方核心高层共同出席和见证。 据悉，此次双方强强联合，旨在充分发挥各自优势，共同加速AI技术在数字创意，尤其是漫剧领域的深度融合及规模化落地，包括基于生数科技Vidu AI漫 剧大模型，结合万兴科技全球解决方案，全面构建AI漫剧"生态+技术"完整闭环；通过产品与模型共创，打造面向未来的漫剧创作工具；联合推进多模态大 模型在视频生成、图像生成等场景的技术创新与应用；共建面向专业创作者和企业的AIGC工具链与解决方案，构建共创共享共赢的AIGC应用生态体系等， 共绘AI漫剧为代表的AIGC内容产业新蓝图。 万兴科技战略投资总经理吴佳兵（左）、生数科技首席执行官骆怡航（右）出席战略投资合作签约仪式 生数科技CEO骆怡航现场表 ...

Group 1 - The core point of the article is that Shengshu Technology has completed over 600 million RMB in Series A+ financing [1] - The financing round was led by Zhongguancun Science City Company and Xinglian Capital [1] - Strategic investments were made by listed companies including Wanxing Technology, Visual China, and Tuolisi [1] Group 2 - Existing shareholders such as Qiming Venture Partners, Beijing Artificial Intelligence Industry Investment Fund, Zhuoyuan Asia, Jianfa Emerging Investment, and Huaihai Investment also participated in the follow-on investment [1]

Group 1 - The core viewpoint is that AI Manhua (AI comic drama) is experiencing explosive growth as a new industry integrating culture and technology, with a proposal to establish Changsha as the global capital of AI Manhua [1][3] - Changsha has a strong foundation for becoming the global AI Manhua hub, supported by the "China V Valley" platform, a controlled technology ecosystem represented by Wanjing Tianmu, and rich cultural resources from Hunan [3][4] - The cost of production in Changsha is 30% to 50% lower compared to major cities like Beijing and Shanghai, providing a competitive advantage [3] Group 2 - There are areas for improvement in the AI Manhua industry, including collaboration across the industry chain, leadership from major enterprises, talent reserves in AI, cultural IP transformation, and industry outreach [3][4] - Recommendations include forming a "Hunan AI Manhua Industry Association," establishing a regular collaboration mechanism, and integrating AI Manhua into provincial strategic emerging cultural industry directories [4] - The proposal emphasizes the need for educational integration, suggesting partnerships between leading enterprises and universities to develop specialized courses and training bases for talent needed in the industry [4]

证券代码：300624 证券简称：万兴科技 公告编号：2026-004 万兴科技集团股份有限公司 关于回购公司股份的进展公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有 虚假记载、误导性陈述或重大遗漏。 万兴科技集团股份有限公司（以下简称"公司"）于 2025 年 4 月 25 日召开 第四届董事会第二十四次会议审议通过了《关于回购公司股份方案的议案》，同 意使用自有资金和自筹资金通过深圳证券交易所股票交易系统以集中竞价交易 方式回购公司股份，用于员工持股计划或股权激励计划，回购股份的期限自董事 会审议通过本次回购股份方案之日起 12 个月内，回购股份的价格为不超过人民 币 89.85 元/股（含），回购的资金总额不低于人民币 2,500 万元（含），不超过 人民币 5,000 万元（含）。具体内容详见公司于 2025 年 4 月 28 日在巨潮资讯网 上披露的《关于回购公司股份方案的公告》（公告编号：2025-019）。 根据《上市公司股份回购规则》《深圳证券交易所上市公司自律监管指引第 9 号——回购股份》等相关规定，回购期间，公司应当在每个月的前三个交易日 内披露截至上月末的回购进展 ...

Core Insights - The AIGC (Artificial Intelligence Generated Content) industry is experiencing explosive growth in China, with revenue expected to rise from approximately 440 million yuan in 2020 to 544.55 billion yuan by 2032, positioning China as a potential global leader in this market [1][10]. Group 1: AIGC Industry Overview - AIGC is defined as a new content production method utilizing AI technology to automatically generate content, categorized as a type of content from the producer's perspective [2]. - The core infrastructure of the AI industry consists of computing power, algorithms, and data, which are essential for the innovation and development of the AIGC sector [2]. Group 2: AIGC Industry Advantages - AIGC significantly reduces costs and increases efficiency by automating repetitive content production tasks, thus shortening the overall content creation cycle and lowering labor and time costs [3][4]. - The technology enables multi-modal creation, allowing for cross-media conversion of different content forms, enhancing creativity and broadening the scope of content presentation [3][4]. - AIGC offers high customization accuracy, deeply analyzing user inputs to generate tailored content that meets diverse user needs [4]. Group 3: AIGC Industry Policies - Since 2023, China has been establishing a multi-layered policy framework for AIGC, progressing from basic regulations to comprehensive empowerment and safety governance [5]. - Policies encourage innovation in AIGC technology across various fields, aiming to create a robust application ecosystem [5]. Group 4: AIGC Industry Chain - The upstream of the AIGC industry includes data collection, cleaning, and labeling, which provide high-quality data support for AI model training [7]. - The downstream involves various applications that utilize AI models to solve specific problems, including the development and operation of applications that automatically generate images, text, and music [7]. Group 5: AIGC Industry Development Status - Since 2023, advancements in large model capabilities and decreasing operational costs have accelerated the development of AIGC, with commercial products like ChatGPT and Midjourney emerging [8][9]. - The global AIGC market is projected to grow from approximately $2.3 billion in 2020 to about $19.5 billion by 2024, with a compound annual growth rate of 70.6% [9]. Group 6: AIGC User Growth - The user base for AIGC in China is expected to reach 515 million by June 2025, driven by the expansion of application scenarios and increased product usability [11][12]. - The demographic profile shows that young and middle-aged groups constitute the majority of users, reflecting the adoption patterns of emerging internet technologies [12]. Group 7: AIGC Competitive Landscape - Major international players in the AIGC space include OpenAI, Microsoft, Google, and Meta, while Chinese companies like Baidu, Alibaba, and Tencent are also significant competitors [13][14]. - The competition is shifting from technical parameter comparisons to the ability to implement and commercialize solutions across various scenarios [14]. Group 8: AIGC Industry Development Trends - AIGC technology is evolving towards systematic upgrades, with multi-modal integration breaking down barriers between different types of data [17]. - The industry is moving towards deeper penetration into vertical sectors, creating tailored solutions that meet specific needs [17].

Core Viewpoint - Wankang Technology experienced a decline of 4.93% in stock price on February 2, with a trading volume of 1.213 billion yuan, indicating a challenging market environment for the company [1]. Financing Summary - On February 2, Wankang Technology had a financing buy-in amount of 99.2 million yuan and a financing repayment of 103 million yuan, resulting in a net financing outflow of 3.91 million yuan [1]. - The total financing and securities balance for Wankang Technology reached 748 million yuan, with the financing balance accounting for 4.35% of the circulating market value, which is below the 40th percentile level over the past year, indicating a low position [1]. - In terms of securities lending, Wankang Technology repaid 1,200 shares and sold 9,200 shares on February 2, with a selling amount of 816,500 yuan, and the securities lending balance was 1.8929 million yuan, also below the 30th percentile level over the past year [1]. Business Performance Summary - As of September 30, Wankang Technology reported a total of 52,400 shareholders, an increase of 3.65% from the previous period, while the average circulating shares per person decreased by 3.52% to 3,268 shares [2]. - For the period from January to September 2025, Wankang Technology achieved an operating income of 1.142 billion yuan, representing a year-on-year growth of 8.5%, but the net profit attributable to the parent company was -61.59 million yuan, a decrease of 1,020.4% year-on-year [2]. Dividend and Shareholding Summary - Since its A-share listing, Wankang Technology has distributed a total of 106 million yuan in dividends, with 15.2851 million yuan distributed over the past three years [3]. - As of September 30, 2025, among the top ten circulating shareholders, Hong Kong Central Clearing Limited held 8.5888 million shares, a decrease of 1.0434 million shares from the previous period, while the Southern CSI 1000 ETF held 1.4155 million shares, down by 13,500 shares [3].

（编辑 丛可心） 证券日报网2月2日讯 ，万兴科技在接受调研者提问时表示，万兴剧厂采用SaaS订阅模式，通过AI积分 消耗为计价方式。目前，公司主要聚焦国内市场，基于合作伙伴与广泛的国内用户持续进行产品的打磨 与商业化验证，未来将基于万兴自身二十余年积淀的产品研发、本地化、营销、运营等出海经验，积极 开拓海外市场。 ...

证券日报网2月2日讯，万兴科技（300624）在接受调研者提问时表示，灵漫快创作为万兴科技的战略投 资合作伙伴，会优先使用万兴剧厂的产品。基于双方在产品共创上的深度合作，灵漫快创将能够享受更 多使用上的便利和优先体验，万兴也会基于其实际使用过程中的反馈快速迭代，优化使用效果。因此， 灵漫快创在内容创作过程中也会更倾向于使用万兴剧厂作为生产力工具，并已基于此构建了内部的工作 协同模式和创作资产库、知识库与工作流。 ...

Core Viewpoint - The company is leveraging both its self-developed Tianmu large model and various domestic AI large models to optimize performance across different application scenarios in image and video generation [1] Group 1: Model Utilization - The company integrates various AI large models based on performance in 2D/3D/real-person image and video generation [1] - The self-developed Tianmu large model provides a cost advantage in computing power, enhancing the company's bargaining power when utilizing third-party large models [1] Group 2: Product Profitability - The combination of optimal performance and strong bargaining power allows the company to maintain product profitability [1] - Future overseas versions will include various excellent models to ensure users have access to up-to-date underlying technology capabilities [1] Group 3: User Experience - The company aims to provide users with the best creative effects and experiences through its model configurations [1]

证券日报网2月2日讯，万兴科技（300624）在接受调研者提问时表示，目前AI漫剧生产领域面临的主 要技术难点包括剧本创作、资产生成以及创作流程中的工具碎片化问题。首先，剧本创作上，尤其是在 购买剧本或小说的改编过程中，存在准确度和效率问题。虽然已有大语言模型的能力，但通用模型很难 充分理解垂直场景内容并保证剧本内容的连贯性。为此，公司开发了基于垂直领域知识的AIAgent，可 以辅助编剧提升创作效率，特别是在剧本的结构化拆分方面。在剧集内容创作上，有三个主要痛点：一 是资产生成。传统方式中，美术人员需要逐字逐句提炼每个场景和道具，这一过程非常耗时。通过AI 自动提取道具并生成基础版提示词，资产生产效率得以提升50%。二是创作工具的碎片化。传统创作流 程中，美术、分镜、资产管理等各环节使用不同工具，且工具间不兼容，协作效率低。公司提供了一站 式的资产管理和协作方案，帮助各环节流畅对接，提升创作效率。三是分镜的拆解。传统分镜制作依赖 大量人工，效率低下。通过AI技术的介入，分镜拆解的效率可以得到大幅提升。 ...