人工智能基金经理大比拼：“五朵金花”争奇斗艳

Core Insights - The article highlights the performance of five prominent fund managers in the AI-themed fund sector, showcasing their investment strategies and returns in 2025, with an average return rate exceeding 43%, significantly outperforming the market index [2][9]. Group 1: Fund Managers and Performance - Li Jun (Huaxia Fund) manages the AI ETF (515070) with a return rate of approximately 46.79% in 2025, focusing on AI chips, algorithm software, and application devices, benefiting from the surge in AI computing power demand [3][9]. - Jin Zicai (Caitong Fund) leads the Caitong Growth Select fund with a return rate of about 59.13%, emphasizing technology growth stocks and making precise investments in AI computing stocks [4][9]. - Li Wenbin (Yongying Fund) oversees the Yongying Technology Driven fund, achieving a return rate of around 53%, with a focus on high-quality growth stocks in AI and semiconductors [5][9]. - Liu Gesong (Guangfa Fund) manages the Guangfa Technology Pioneer fund, which has a return rate of approximately 31%, concentrating on strategic emerging industries like new energy and AI [6][9]. - Liu Huiying (Noan Fund) leads the Noan Growth fund with a return rate of about 38%, focusing on the semiconductor and AI hardware sectors [7][9]. Group 2: Investment Styles and Risk Management - Li Jun employs a quantitative investment style, prioritizing liquidity control and minimizing tracking errors, making it suitable for passive investors [3][9]. - Jin Zicai is recognized for his industry rotation skills, focusing on high-risk, high-return strategies, with a dynamic adjustment approach to mitigate risks [4][9]. - Li Wenbin emphasizes a balanced fundamental approach, focusing on risk-reward ratios and dynamic allocation strategies [5][9]. - Liu Gesong adopts a growth-value balance strategy, emphasizing long-term investment opportunities and valuation control [6][9]. - Liu Huiying's concentrated investment style targets the semiconductor AI industry, aiming for high elasticity returns, but carries higher volatility risks [8][9].