2 1 Shi Ji Jing Ji Bao Dao·2025-09-25 04:37Core Insights - The insurance industry faces significant challenges due to frequent climate risks, highlighted by the impact of Typhoon "Hagupit" on southern China, necessitating improved risk management capabilities [1][3] - The establishment of a multi-layered risk-sharing mechanism involving direct insurance companies, catastrophe co-insurance, reinsurance companies, catastrophe bonds, special funds, and government support is crucial for building a "climate-adaptive society" [1][3] - The development of Large Risk Models (LRM) leveraging artificial intelligence is essential for enhancing risk visibility and management in the insurance sector [2][8] Group 1: Climate Risks and Insurance - Typhoon "Hagupit" has caused significant economic losses, with the insurance industry expected to face increasing claims as natural disasters become more frequent [3] - Guangdong province has pioneered catastrophe insurance, accumulating premiums of 860 million yuan and payouts of 1.93 billion yuan during the pilot phase from 2022 to 2024 [1] - The insurance sector is transitioning from post-disaster compensation to a comprehensive risk management approach that includes prevention and mitigation strategies [3][7] Group 2: Technological Advancements in Risk Management - Companies like Ping An have developed advanced systems, such as the "Eagle Eye" system, which utilizes AI and big data for real-time flood forecasting and risk management [4][6] - The insurance industry is increasingly adopting digital tools, including satellite remote sensing and IoT, to enhance risk identification and monitoring capabilities [3][6] - The emergence of AI-driven models is expected to transform risk assessment and management, allowing for real-time monitoring and dynamic evaluation of risks [9][11] Group 3: Future Directions and Opportunities - The integration of AI into risk modeling is seen as a key area for future development, enabling more accurate and responsive risk assessments [8][9] - The potential for LRM to provide real-time pricing mechanisms for catastrophe bonds and enhance climate risk diversification is being explored [9] - The government's push for AI applications in risk prevention indicates a strategic direction for the insurance industry to leverage technology for improved risk management [11]