9月11日，以"重塑创新增长"为主题的2025Inclusion·外滩大会在上海开幕。 （本版图片均为主办方提 供） "在AI领域，明年应用肯定会大爆发，下一个字节、下一个小红书今年应该已经成立，创业者应该有很 多机会，大家一定要有勇气去闯星辰大海。"谈及AI商业模式与创业机会时，朱啸虎在现场对年轻创业 者鼓舞道。 朱啸虎结合中美成长比较快的AI企业，美国B端创业居多，中国则擅长C端，朱啸虎认为"AI大家都是一 样的，差异都在AI之外，在AI以外搭建用户体验差异有大量的玩法，这是中国创业者最适合、最擅长 的。"韩歆毅、张雷分别从蚂蚁、小米的应用实践中回顾，一致认为在垂直的专业服务领域，依然有巨 大的创业探索空间。 面对AI硬件出海，张雷则认为："我们可能存在供应链端的成本和效率优势，以及有很好的AI生态优 势，但如何在这么好的AI生态下找到真正用户非常需要的场景，去真正地落地实现，提升用户体验， 形成黏性，去提升产品力，我觉得这些都需要基于这些优势回到产品本身。" 【深圳商报讯】（记者 陈姝）9月11日上午，以"重塑创新增长"为主题的2025Inclusion·外滩大会在上海 开幕。在当天举行的产业圆桌中，蚂 ...

Core Viewpoint - The discussion highlights the transformative impact of AI on user entry points, business models, and industry division, with insights from leaders in application, hardware, and investment sectors [1]. Group 1: AI's Impact on Software and User Retention - Investment expert Zhu Xiaohu believes that low-code and no-code software will be replaced by AI, particularly in editing and collaboration tools, leading to a significant decrease in user demand, potentially by 10% [2]. - Zhu emphasizes that user retention is the key metric for AI products, noting that the cost of user recall for AI products could be over ten times that of mobile internet products [2]. - Ant Group's CEO Han Xinyi argues that specialized AI applications in healthcare cannot be replaced by general models, as they address essential individual needs and can provide personalized services [2]. Group 2: AI as an Assistant in Healthcare - Han Xinyi states that AI cannot replace doctors in the short term and should function as an assistant, allowing doctors to focus on research and complex cases [3]. - The integration of AI into hardware is also significant, with Xiaomi's VP Zhang Lei highlighting the potential of AI glasses to create new interaction paradigms, noting that the usage frequency of AI glasses is already 6 to 7 times that of smartphones [3]. Group 3: Future Opportunities in AI - Zhu Xiaohu predicts a significant explosion of AI applications in the coming year, encouraging young entrepreneurs to explore opportunities in the field [4]. - He notes that while American AI startups focus on B2B, Chinese companies excel in C2C applications, suggesting that the differentiation lies outside of AI itself [4]. - Han Xinyi emphasizes the importance of focusing on high-quality data, professional capabilities, and ethical considerations in the healthcare AI sector rather than immediate commercialization [4]. Group 4: Human-Centric Approach to AI - Zhu Xiaohu asserts that all entrepreneurial efforts must return to human needs, which remain constant over time, with AI enhancing user experience and product forms [5].

Core Insights - The discussion at the 2025 Inclusion Bund Conference focused on how AI will reshape user entry points, business models, and industry divisions, with insights from leaders in application, hardware, and investment sectors [1] Group 1: AI Applications and Market Dynamics - The rise of large models has sparked competition over user entry points, with predictions that low-code and no-code software will be replaced by AI, particularly in editing and collaboration tools, potentially reducing user numbers by 10% [3] - User retention is the primary metric for investors in AI products, with the cost of user recall in AI potentially exceeding that of mobile internet products by over ten times [4] - Specialized AI applications in sectors like healthcare cannot be fully replaced by general models, as they address essential individual needs and can provide personalized services, with the goal of AI in healthcare being to assist doctors rather than replace them [4] Group 2: Hardware Innovations and User Interaction - AI is transforming hardware, with products like AI phones, glasses, and robots emerging, and the future opportunities will depend on the stickiness of these AI-enhanced hardware scenarios [4] - AI glasses are changing interaction logic from passive to active, with usage frequency of voice commands on AI glasses being 6 to 7 times higher than on mobile phones [5] Group 3: Entrepreneurial Opportunities and Market Trends - The AI sector is expected to see a significant explosion in applications next year, with new entrepreneurial opportunities emerging, particularly in the C-end market in China [6][7] - Successful AI companies in the US often focus on B-end applications, while Chinese companies excel in C-end, indicating a difference in user experience strategies [7] - In specialized service areas, there remains substantial room for entrepreneurial exploration, with a focus on high-quality data, professional capabilities, and ethical considerations being crucial for future developments [7][8]

AI会重构用户入口、商业模式与产业分工吗？9月11日，2025Inclusion·外滩大会开幕式《破局与重构： 大模型落地产业进行时》产业圆桌中，蚂蚁集团CEO韩歆毅、小米集团手机部副总裁、可穿戴部总经理 张雷、金沙江创投主管合伙人朱啸虎围绕着这一热门产业话题展开对谈，三大领域领军者分别从应用、 硬件与投资视角给出关键判断。 AI时代超级入口的"变与不变" 从Open AI卷起的应用浪潮，到DeepSeek的异军突起，大模型普及也在产业内部掀起了一轮轮入口之 争"大模型是不是会吃掉所有软件"。面对这一问题，投资人朱啸虎认为低代码、无代码的软件肯定会被 AI替代，尤其是编辑类、协作类软件，"不是说不要了，是它的需求会降低，用户数减少10%的话，这 个影响是很巨大的，协同类软件未来市场还会在，但是会小很多"。 他也透露了面对AI产品，投资人关注的唯一指标就是用户留存。"从PC互联网到移动互联网到AI是同样 的，AI产品用户召回成本可能是移动互联网产品的10倍以上，留存好不好，才证明这些公司有没有后 续的发展潜力"，朱啸虎说。 "在AI领域，明年应用肯定会大爆发，下一个字节、下一个小红书今年应该已经成立，创业者应该 ...

Group 1 - Chaoyang District is actively promoting the development of the digital healthcare industry, focusing on system and mechanism construction, establishing collaborative departments, and a dedicated team for digital healthcare advancement [1] - The district aims to enhance "AI + precision diagnosis and treatment" to build a regional brand, integrating basic research, application research, and concept validation for comprehensive development [1][2] - The healthcare industry in Beijing has become a significant economic pillar, with a total scale reaching 1.6 trillion yuan last year, marking a breakthrough beyond one trillion yuan [1] Group 2 - A joint initiative by nine departments in Beijing introduced 32 measures to support high-quality development in innovative pharmaceuticals, emphasizing the establishment of AI research centers and the development of AI applications in various medical fields [2] - Chaoyang District has been deepening the integration of AI and healthcare, creating a digital healthcare closed-loop transformation system that connects policy guidance, platform support, scene implementation, and enterprise collaboration [2] - Several important collaborative projects in the digital healthcare field were announced, including the establishment of AI hospitals and research centers, which aim to accelerate innovation and transformation in medical AI technology [3]