Zheng Quan Shi Bao·2025-10-15 18:21Core Insights - The integration of large models in the securities industry is seen as a new engine and opportunity for paradigm reconstruction, emphasizing the shift from efficiency enhancement to value creation as a key transformation [1] - The application of artificial intelligence (AI) is recognized as a significant driving force for technological revolution and industrial transformation, essential for enhancing competitiveness and reshaping market dynamics [1] - Challenges in implementing large models include rapid technological iteration, high investment costs, talent requirements, and risks associated with hallucinations [1] Group 1 - AI can reshape service experiences, innovate products, and empower risk management by deeply integrating large models with business scenarios [2] - A 12-character "secret" for selecting specific scenarios includes focusing on small, impactful issues, ensuring high value density, and integrating large models into existing workflows to enhance user experience [3] Group 2 - Alongside productivity improvements, there is a need for innovation in organizational structures and methods, with AI expected to create multiplier effects and new economic and social value [4] - The vision for the future includes equipping every client with AI advisors, every employee with digital twin assistants, and creating human-machine teams for enhanced service quality and high-quality development [4]