科技如何重塑保险资管？中国人寿（海外）魏晓鹏，最新发声

Core Viewpoint - The forum highlighted the transformative role of technology in insurance asset management, emphasizing that the primary value of technology is to enhance decision-making stability rather than to make investments more aggressive [1]. Group 1: Evolution of Insurance Asset Allocation - The evolution of insurance asset allocation has shifted from reliance on experience and single return targets to a multi-objective approach focusing on duration, return, and liquidity [2]. - The current environment is characterized by increased geopolitical risks and significant asset correlation, making the dynamic interaction between assets and liabilities more critical than ever [2]. - The essence of insurance asset allocation has transitioned from "what assets to select" to finding "explainable, verifiable, and executable optimal solutions" under multiple constraints [2]. Group 2: Value of Technology in Investment - The primary value of technology in insurance asset management is to make decision-making more robust rather than to accelerate investment processes [3]. - A systematic framework focusing on value and profit has been implemented by the company, exploring AI applications in scenario-based asset allocation [3]. - An example was provided where an algorithm reduced capital risk indicators by 15% while maintaining expected surplus, demonstrating a methodology that integrates liabilities, capital, returns, and risks into a unified decision-making space [3]. Group 3: AI's Role in Insurance Asset Management - AI is seen as a tool to amplify system capabilities rather than replace decision-makers, with applications starting from three foundational areas [4]. - The first area is the structured processing of high-dimensional data, allowing for the identification of structural relationships among thousands of assets and numerous constraints [4]. - The second area involves scenario generation and portfolio simulation, where AI can create more realistic potential paths compared to traditional assumptions [4]. Group 4: Challenges of AI Implementation - The true challenge of technological transformation in insurance asset management lies in whether the organization has a compatible decision-making mechanism and culture, which is deemed more important than the models and algorithms themselves [6]. - Collaboration among research, risk control, actuarial, and IT departments in a common language is essential for effective implementation [6]. - Management must accept the idea of using systems to constrain personal judgment, allowing technology to become an integral part of the institution and its processes [6].