Zheng Quan Shi Bao·2025-10-15 22:54Core 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, with most applications currently limited to auxiliary business areas [1] Group 1 - AI can reshape service experiences, innovate products, and empower risk management by deeply integrating large models with business scenarios [2] - The approach to selecting specific scenarios involves a "12-character secret": small scope, deep impact, high density, and integration [3] - The focus should be on clearly defined goals that address specific problems, delivering significant functional improvements, and ensuring high value density in terms of customer reach and usage frequency [3] Group 2 - Alongside productivity enhancements, there is a need to innovate organizational structures and methods [4] - The future vision includes AI providing personalized advisory services for clients, digital twin assistants for employees, and human-machine collaborative teams for improved service quality and high-quality development [4]