下一个AI超级应用在哪？看36氪2025AI Partner大会解码未来趋势

Core Viewpoint - The article emphasizes the emergence of AI super applications as a transformative force across various industries, driven by advancements in AI technology and its commercialization [2][8][21]. Group 1: AI Super Applications - The 2025 AI Partner Conference in Shanghai focused on the theme "Super App is Here," exploring the next potential super applications in the AI field [2]. - Key industry leaders discussed the rapid reshaping of various sectors due to AI commercialization, highlighting the importance of AI engines in unlocking the potential of super applications [8][11]. - The concept of "embodied intelligence" was presented as a frontier in AI research, serving as a key to understanding future intelligent forms [6]. Group 2: Industry Trends and Innovations - AI applications are evolving from simple, high-tolerance scenarios to complex, low-tolerance environments, driving industry transformation [8]. - The conference featured discussions on AI's role in enhancing personalized services and privacy protection through terminal-side AI [11]. - The potential of AI and AI agents was highlighted in the context of resource recycling and innovative consumption models, showcasing their ability to reshape user experiences in C2C transactions [12]. Group 3: Investment Insights - A roundtable discussion among investors focused on identifying the early signs of super applications, with insights into the burgeoning AI+ healthcare market, which is expected to reach a trillion-dollar scale [17]. - The importance of human-centric approaches in developing true super applications was emphasized, advocating for technology that serves human needs [17]. - The decision-making capabilities of startups in the AI era were deemed critical for their survival and success [17]. Group 4: Case Studies and Applications - The conference unveiled innovative AI application cases across various sectors, including smart manufacturing, customer service, content creation, and healthcare, demonstrating the practical value of AI technology [38]. - AI's role in education was discussed, with examples of how AI models are reshaping resource allocation and personalized learning experiences [21]. - The need for fine-tuned operations and green development in response to industry upgrades was highlighted, showcasing the integration of AI in enhancing operational efficiency [25].