富国基金量化双将联袂掌舵，富国致享量化选股正式发行

Core Insights - The rapid development of artificial intelligence (AI) technology has created new opportunities for quantitative investment, significantly enhancing investment efficiency and effectiveness, leading to increased market interest [1][2] - The launch of the "Fidelity AI-Driven Quantitative Stock Selection Fund" aims to leverage AI stock selection methods and multi-factor Alpha models to flexibly capture style rotation opportunities in a changing market [1][2] Group 1: AI and Quantitative Investment - AI advancements, such as breakthroughs in large models like ChatGPT and Deepseek, have validated machines' ability to analyze complex data, enhancing investment efficiency through real-time analysis of thousands of stocks across multiple dimensions [2] - The fund employs an "Air Index Increment" strategy that moves away from single index tracking, utilizing AI-driven data mining and factor construction to extract effective signals from unstructured data [2] Group 2: Fund Management and Performance - The fund will be co-managed by experienced quantitative investment professionals Wang Baohe and Fang Min, who have over seven years of collaboration, demonstrating a strong understanding of "index enhancement" and "active quantitative" strategies [3] - Previous funds managed by these professionals, such as the "Fidelity CSI 1000 Index Enhancement" and "Fidelity CSI 1000 Preferred," have consistently achieved excess returns since their inception, showcasing their expertise in quantitative investment [3] Group 3: Market Context and Opportunities - Amidst significant adjustments in the global economic landscape and increasing external uncertainties, Chinese assets are gaining global capital attention due to breakthroughs in high-end manufacturing and AI, which reshape the industrial landscape and release substantial investment potential [4] - The current valuation of major domestic market indices is notably lower than that of global indices like the S&P 500, enhancing the allocation value and attractiveness of Chinese assets [4]