科技赛道中，也能“越来越值钱”

Core Insights - The article highlights the resurgence of investor sentiment in the Chinese stock market, particularly driven by innovations in AI, healthcare, and technology sectors, with the Shanghai Composite Index reaching a ten-year high [1] Group 1: AI and Technology Innovations - AI is identified as the largest technological innovation since the mobile internet, with the total market capitalization of the "Seven Sisters" in the US tech sector reaching a record $19.6 trillion [1] - The correlation between the stock performance of the "Seven Sisters" and AI innovations is expected to strengthen from 2024 onwards [1] Group 2: Fund Performance and Management - The E Fund's mid-generation technology growth team has achieved impressive returns, with specific funds like E Fund Rui Xiang Mixed I yielding 96.13% year-to-date [3] - E Fund has established a clear and stable investment style, enhancing its research capabilities through specialized divisions and cross-border research [3] Group 3: Individual Fund Managers - Wu Yang, known for his "industry sniper" approach, has successfully navigated market cycles, achieving a 21.72% return in 2022 despite a broader market decline [5][6] - Liu Jianwei emphasizes a value-oriented approach in technology investments, focusing on growth phases and risk-reward ratios, achieving a 24.56% return in 2024 [10][11] - Zheng Xi has a long-term perspective on technology trends, with a focus on global investment opportunities, achieving a net value growth of 186.70% since inception for E Fund Information Industry A [15][16] - Ouyang Liangqi adopts a methodical approach to technology investments, focusing on penetration rates and the underlying logic of technological revolutions [20][21] - Cai Rongcheng is characterized by a contrarian investment style, focusing on supply-side research and diversifying across multiple sectors to mitigate risks [25][27] Group 4: Market Outlook and Trends - The AI industry is expected to experience significant growth, with increasing demand for computing power and applications, particularly in the context of generative AI [7][28] - The semiconductor and autonomous driving sectors are also highlighted as areas of growth, driven by advancements in AI and technology [17][18]