公募首批四季报发布,基金密集加仓AI赛道
Huan Qiu Wang·2026-01-18 01:53

Core Insights - The latest quarterly reports from various fund companies reveal a significant shift in public fund investment strategies, with a focus on AI applications and humanoid robots, indicating a trend towards technology-driven investments [1][5] Fund Adjustments - Jin Xin Smart China 2025 Mixed Fund has heavily invested in financial stocks, with 9 out of its top 10 holdings being bank stocks as of Q3 2025. However, the latest report shows the inclusion of companies like SMIC and Hua Hong Semiconductor, marking a shift towards hard technology in the AI industry [1][2] - As of Q4 2025, the top holdings of Jin Xin Smart China 2025 Mixed include major banks and AI-related companies, reflecting a strategic adjustment to capitalize on the growing demand for AI hardware [2] Fund Performance - Jin Xin Smart China 2025 Mixed Fund achieved a 17.64% increase in A-class shares for the year, with its scale growing from 196 million to 566 million, a 188.78% increase [2] - Hua Fu New Energy Stock Fund saw its scale surge from 202 million at the beginning of 2025 to 3.43 billion by year-end, a nearly 16-fold increase, with a quarterly growth rate of 262.27% [4] - The fund's performance for 2025 was impressive, achieving a 68.30% return, while the Oriental Alpha Advantage Industry Mixed A Fund also made significant adjustments, focusing on overseas computing power supply chains and achieving a 77.44% annual increase [4] Market Outlook - Analysts indicate that public funds are adapting to market changes, with traditional funds beginning to embrace high-growth sectors like AI, reflecting a long-term recognition of technology as a key investment area [5] - The surge in funds focused on new energy suggests that capital is actively seeking valuation recovery opportunities supported by performance [5] - Looking ahead to 2026, while technology stocks remain a primary focus, the market may experience differentiation rather than broad increases, emphasizing the importance of core technological barriers and order fulfillment in investment decisions [5]