Core Viewpoint - The era of AI applications has arrived, marking a significant transformation in global business dynamics driven by AI super applications, which represent not just a technological revolution but a comprehensive evolution in business thinking [2]. Group 1: AI Super Applications - AI super applications are expected to evolve and bring disruptive changes to various industries, with a focus on identifying the next generation of super applications [3]. - The rise of DeepSeek illustrates a profound shift in public communication logic, highlighting the changing global landscape and the increasing sense of insecurity among populations, which amplifies any potential disruptive factors [5][6]. Group 2: Technological Trends - Embodied intelligence is a leading trend in AI research, merging physical interaction with autonomous decision-making, which is essential for the development of the next generation of general AI [6]. - AI is recognized as the most transformative technology in the last 50 years, reshaping industries and lifestyles, with super applications being empowered by ubiquitous AI engines [8]. Group 3: Industry Applications - AI applications are proliferating under the influence of large models, transitioning from single tools to professional services and from single agents to multi-intelligent collaborations across various fields [9]. - The education sector is experiencing a transformation with AI models that enable personalized, large-scale, and high-quality learning experiences, moving from a one-size-fits-all approach to tailored education [24]. Group 4: Entrepreneurial Opportunities - The current environment presents both challenges and opportunities for entrepreneurs, particularly in vertical fields where specialized model optimization and scene implementation can thrive [18][25]. - The importance of understanding the unique needs of specific industries and leveraging AI tools to create value is emphasized, as companies must focus on delivering tangible results [21]. Group 5: Data and Ecosystem - Data is identified as a critical element for future super applications, with companies focusing on building comprehensive data service platforms to drive innovation and integration with AI [41]. - The ecosystem for AI applications is evolving, with collaborative efforts among companies to enhance business efficiency and reduce costs through AI integration [45].