挡住豆包的那堵墙，被“龙虾”推倒了

Core Viewpoint - The article discusses the competitive landscape among major smartphone manufacturers (Xiaomi, Samsung, and Apple) in developing mobile AI agents, driven by the success of the open-source multi-agent framework OpenClaw, which has transformed user expectations regarding AI capabilities and data privacy [3][12][38]. Group 1: Competitive Landscape - Xiaomi has initiated a closed testing phase for its mobile AI agent product, miclaw, which is based on its self-developed MiMo model, aiming to enhance system-level execution capabilities [3][19]. - Samsung's Galaxy S26 features Google's Gemini AI agent, enabling cross-application operations, although it requires user initiation, contrasting with OpenClaw's proactive capabilities [8][22]. - Apple has decided to collaborate with Google to develop its next-generation AI model based on Gemini, indicating a shift in its traditionally isolated approach to technology [10][25]. Group 2: User Data and Trust - OpenClaw has challenged the prevailing notion that users are overly concerned about data privacy, as many users willingly share data for enhanced AI experiences, indicating a shift in user trust [12][13][38]. - The success of OpenClaw has prompted various tech companies, including ByteDance, Alibaba, Tencent, and others, to rapidly adopt and integrate OpenClaw-related services into their platforms [14][34]. Group 3: Development Strategies - The three major manufacturers are cautiously exploring the potential of mobile AI agents, with each company adopting unique strategies while remaining aware of the limitations of current technology [17][18]. - Xiaomi's miclaw is designed to integrate over 50 system capabilities, but it currently lacks advanced functionalities like payment processing, reflecting a cautious approach to user data handling [19][21]. - Samsung and Google's collaboration on Gemini is a step forward but still conservative, as they face challenges in getting third-party apps to adopt their GUI-based solutions [22][23]. Group 4: Future Implications - The emergence of mobile AI agents poses a potential threat to existing super apps, as these agents could redefine user engagement and application usage patterns [27][46]. - The article suggests that the future of mobile AI agents lies in creating frameworks that allow for seamless integration without overly relying on third-party app cooperation, which has historically been a barrier [36][37]. - The ongoing "shrimp farming" competition among tech giants indicates a significant shift in the industry, with super apps facing challenges in maintaining their dominance as user habits evolve [47].