Group 1 - The core viewpoint emphasizes that companies should not solely rely on AI for competitive advantage but should integrate their capabilities and iterative improvements with AI to achieve sustainable development [1][6] - AI is seen as a dual-faceted tool that can reconstruct business and management models, requiring companies to focus on both input-output ratios and enhancing competitive advantages to meet market demands [4][5] - The ownership of data is a significant challenge for companies applying AI, as it directly impacts traditional asset management and the motivation for data aggregation among participants [5][6] Group 2 - Companies are encouraged to shift from a "push" to a "pull" model driven by market demand, enhancing resource utilization and adaptability in a rapidly changing business environment [6] - There is ongoing debate in academia regarding whether AI can provide a competitive advantage, with some arguing that data insights can create positive feedback loops while others stress the importance of data-driven learning capabilities [6][7] - The current focus for companies is on extracting the value of AI rather than merely discussing its technical aspects, highlighting the importance of efficiency and improved user experiences [7][11] Group 3 - Anheng Information has integrated AI into its products and services, recognizing the potential of generative AI to reshape industry dynamics [7][8] - The company has made AI a primary strategy, driving innovations in data protection and service offerings [8][9] - AI has significantly improved operational efficiency in security operations, reducing the number of alerts requiring human intervention and enhancing overall operational quality [9][10] Group 4 - Companies like iFlytek are building AI ecosystems that combine core technical capabilities with product development, supporting vertical solutions for various industries [11][12] - The dual approach of combining management reforms with technological capabilities is essential for successful digital transformation, leading to sustained business value [11][12] - Discussions among industry leaders reveal that while many companies are still exploring AI applications, there is potential for new business models and opportunities to emerge in the coming years [14]