Group 1 - The core viewpoint is that in the AI era, the key metric for evaluating startups is user retention, which is crucial for their survival and growth [2][4] - Many AI companies that are currently being ridiculed lack user retention, as initial interest does not translate into long-term commitment from users [4] - Successful AI commercialization often comes from seemingly mundane technologies that address real needs, such as meeting minutes applications [4] Group 2 - The fastest-growing AI companies in the US are primarily B2B, while Chinese companies are focusing on B2C, indicating a potential for explosive growth in AI applications in China [5] - Chinese entrepreneurs excel in creating differentiated user experiences outside of AI, with significant opportunities in gamification strategies [5] - The upcoming trends in AI suggest a shift towards application development, with expectations of a major explosion in AI applications in the next year [5]

留存到底好不好，才证明这些公司有没有后续的发展潜力。 在2025Inclusion·外滩大会上，当被问及如何判断AI时代创业公司是否值得投资，金沙江创投主管合伙 人朱啸虎给出了一个简洁的回答："我们一直只看一个指标，就是留存。" 在他看来，AI时代的创业公司与以往PC互联网、移动互联网时代并没有本质不同，真正能够生存和发 展的企业，仍然需要回归商业本质。他尖锐指出，今年很多被嘲笑的AI公司正是因为缺乏用户留存。 "AI时代很多人都愿意尝鲜，任何新事物出来之后大家一开始觉得好用，第一个月就付了钱，但第二个 月也许就不付钱了，没有留存。"朱啸虎说，如果重新把一个用户召唤回来，在移动时代需要10倍以上 的成本，几乎没有可能性，所以关键还是留存。"留存到底好不好，才证明这些公司有没有后续的发展 潜力。" 至于看好哪类AI应用的机会，朱啸虎观察到一个有趣现象：真正适合商业化的都不是那么"性感"的技 术，而是看上去已经比较无聊的技术。 例如，去年全世界做得最好的AI商业化就是各种各样的会议纪要。无论是美国的Abridge（做医生和病 人之间谈话的会议纪要），还是中国的Plaud（可以磁吸手机的AI录音卡片），这些技术没有 ...

Group 1 - The AI product competition has entered a calmer phase, with diminishing differences in data quality among large models and open-source models facing lower technical barriers [1] - Major companies are pursuing two paths: one emphasizes B-end applications, while the other focuses on achieving high user engagement through social applications [2][12] - The community model has been a longstanding product form in the Chinese internet, evolving from early forums to modern platforms like Bilibili and Xiaohongshu [4][6] Group 2 - AI applications are increasingly targeting community features to become "super entrances" for user engagement, as seen with Kimi's new community product [8][10] - OpenAI is reportedly developing a social network that integrates ChatGPT's image generation capabilities, indicating a shift towards community-oriented applications [12][14] - The integration of AI products into existing social ecosystems, like Tencent's WeChat, allows for low-cost user acquisition and retention strategies [19][22] Group 3 - The current landscape shows that user retention is a significant challenge for AI applications, with many lacking the community features that foster long-term engagement [23][24] - Successful community building requires understanding user needs, sustainable content production, and balancing commercial value with user experience [28]