（编辑 郭之宸） 公告显示，2025年，万兴科技AI原生应用及移动端产品收入保持较快增长，持续推动业务结构升级； 桌面端产品底座扎实，整体保持平稳；同时，北京磨刀刻石自2025年起不再纳入万兴科技的合并报表范 围，对当期合并收入规模产生一定影响。在AI投入方面，万兴科技持续聚焦AI垂直领域的技术研发与 产品化应用，围绕核心技术能力加大研发投入，持续夯实产品竞争力。在营销策略方面，万兴科技围绕 多端、多产品持续升级营销体系，推进多语言本地化营销布局，同时持续强化营销效率管理，优化投放 策略和营销渠道，有效加快了AI原生应用及移动端产品的市场渗透。 本报讯 （记者舒娅疆）1月30日晚间，万兴科技集团股份有限公司（以下简称"万兴科技"）披露2025年 度业绩预告。2025年，万兴科技的产品矩阵化成果显现，新业务加速成长，全年收入稳步增长；同时， AI投入持续，全年AI服务器调用量超13亿次，同比增长超140%；营销策略加速转型，其销售费用率年 内呈下降趋势，在上述多方因素影响下，万兴科技预计2025年归属于上市公司股东的净利润、扣非后净 利润同比均减亏，业绩总体改善明显。 ...

Core Insights - WeBank, China's first digital bank, and its subsidiary WeBank Technology made their debut at the Hong Kong FinTech Week x StartmeupHK Festival 2025, marking a new phase in their international development [1][3] - The event attracted over 37,000 participants from more than 100 economies, showcasing the significance of the fintech sector [3] Group 1: WeBank's Innovations and Achievements - WeBank highlighted its leading achievements in technological innovation and inclusive finance practices, showcasing its distributed core system and AI-native applications [3][4] - The bank has served over 430 million individual customers and has facilitated loans for more than 6 million small and micro enterprises [3][4] Group 2: AI Integration and Future Plans - WeBank is transitioning towards becoming an AI-native bank, with over 100 AI application scenarios and more than 700 agents deployed, enhancing organizational efficiency [4] - The bank's vice president emphasized the importance of AI in transforming financial services, aiming for smarter and more inclusive solutions [4] Group 3: International Expansion and Strategic Goals - WeBank Technology aims to establish its Hong Kong headquarters as a global sales and innovation center, leveraging the vibrant business environment to enhance local financial digitalization [4][6] - The company has expanded into markets such as Indonesia, Malaysia, and Thailand, negotiating with over 20 partner institutions and achieving cooperation intentions exceeding hundreds of millions of dollars [4][6]

Core Insights - The article discusses the current state of AI and its potential impact on entrepreneurship, emphasizing that while AI is being heavily promoted, its practical applications in everyday tools remain limited [2][3][8] - It raises questions about how AI will change the structure of startups and whether it will lead to fewer or more employees needed in the future [3][6][7] - The article suggests that the future of entrepreneurship may see a shift in how companies are organized and funded, with implications for venture capital and the traditional startup funding stages [6][8] Group 1: Current State of AI - Despite the hype around AI, the number of "AI-native" applications on personal devices is surprisingly low, indicating that the technology has not yet been fully integrated into daily life [2] - The article highlights the potential for AI to transform work processes, but acknowledges that this transformation is still in its infancy [2][3] Group 2: Future of Startups - There is a debate on whether future startups will require fewer employees due to AI's leverage effect, or if they will still need a significant workforce for tasks that AI cannot handle [3][6] - The article posits that the barriers to entry for new startups may change, with a focus on user growth and network effects becoming more critical in a landscape where AI capabilities are easily replicated [3][6][7] Group 3: Venture Capital and Funding - The traditional venture capital model may evolve as product development becomes easier and cheaper, potentially leading to a more decentralized investment landscape [6][8] - The article questions whether the current stages of funding (seed, Series A/B/C) will remain relevant in a future where products can quickly achieve profitability with minimal investment [6][8] Group 4: Historical Context - The article draws parallels between the evolution of business structures in the past and the potential changes brought by AI, suggesting that existing frameworks may not be sufficient to harness the productivity gains from AI [5][6] - Historical examples illustrate how technological advancements have reshaped business organization, hinting at a similar transformation in the AI era [5][6] Group 5: Competitive Landscape - The competition between established companies and startups will be crucial, with the outcome depending on who can leverage innovation and distribution channels more effectively [8] - The article suggests that the next few years will be pivotal in determining how AI will be integrated into business models and the overall entrepreneurial landscape [8][9]

Group 1 - The company has responded to an investor inquiry regarding its possession of AI-native website building tool technology, indicating that its current AI-native applications are primarily based on audio and video multimodal large model AI capabilities [2] - The company's AI applications aim to assist global users in creating creative content more intelligently and efficiently [2]