Core Viewpoint - The insurance industry is undergoing a transformation driven by AI technology, which is reshaping operational logic and enhancing efficiency while maintaining customer-centric values [1][2][4]. Group 1: Development Background - The insurance industry is in urgent need of technology-driven transformation due to rough growth and operational pressures [4]. - AI is expected to reconstruct the insurance value chain, evolving from an efficiency tool to a strategic hub, with technology investments projected to exceed 67 billion yuan by 2025 [4][5]. Group 2: Market Size and Trends - The Chinese insurance market is expected to exceed 6.3 trillion yuan in original premium income by 2026, with a compound annual growth rate of 6.0% from 2019 to 2024 [5]. - The insurance sector's technology investment is growing rapidly, with a projected total investment of over 67 billion yuan by 2025, focusing on big data, cloud computing, and AI [5][14]. Group 3: AI Applications in Insurance - AI applications in the insurance industry cover the entire value chain, including underwriting, claims processing, risk control, and customer service, driven by data and algorithmic models [22][27]. - The shift from single-point tools to centralized intelligent platforms marks a significant upgrade in AI applications within the insurance sector [56][57]. Group 4: AI in Sales and Underwriting - AI is transforming the sales process from traditional methods to a comprehensive intelligent system that includes customer acquisition, demand analysis, and product recommendations [33]. - In underwriting, AI facilitates multi-technology integration, data-driven processes, and full automation, enhancing operational efficiency and risk control [36][37]. Group 5: Claims Processing and After-Service - AI enhances claims processing efficiency and reduces operational costs while improving customer experience through full-process empowerment [38]. - In after-service, AI drives customer retention and service upgrades, creating new value growth points for insurance companies [38]. Group 6: Internal Operations and Decision Support - AI-powered office assistants optimize internal processes, integrate information resources, and support decision-making, thereby improving operational efficiency [41]. - The focus is on freeing human resources from repetitive tasks, allowing employees to engage in more creative and strategic work [41]. Group 7: Case Studies - iYunbao leverages AI to empower insurance practitioners across the entire value chain, enhancing the professionalism of insurance agents [44]. - Ping An Life exemplifies a comprehensive intelligent transformation, utilizing AI for real-time responses, precise pricing, and proactive risk control [46]. - ZhongAn Technology focuses on AI model implementation across the insurance lifecycle, driving cost reduction and efficiency [52]. Group 8: Challenges and Compliance - AI applications in risk control and compliance present dual challenges, enhancing fraud detection and risk pricing while raising concerns about algorithmic bias and data privacy [61].