科技主题基金调仓思路生变

Core Viewpoint - Recent changes in investment strategies of several high-performing technology-themed funds indicate a shift from domestic to overseas computing power investments, reflecting a broader reassessment of AI and quality assets in the context of external uncertainties [1][2]. Group 1: Fund Manager Strategies - Fund managers are reallocating investments from domestic computing sectors to overseas counterparts, with notable changes in top holdings among various funds [1]. - The "Caitong Growth Preferred Mixed Fund" reported a significant shift in its top ten holdings, moving to new stocks in the second quarter, emphasizing overseas computing power [1]. - The "China Europe Digital Economy Mixed Fund" also mirrored this strategy, focusing on infrastructure related to overseas AI applications [2]. Group 2: Performance Metrics - The "Caitong Growth Preferred Mixed Fund" achieved a net value growth rate of 11.23% in the second quarter, outperforming its benchmark of 1.34% [2]. - The "China Europe Digital Economy Mixed Fund" reported a net value growth rate of 12.69%, while its benchmark yielded -0.23% [2]. - Over the past year, the A-class share of the "China Europe Digital Economy Mixed Fund" has seen a growth rate exceeding 110% [2]. Group 3: Sector Adjustments - Some fund managers are reducing exposure to the humanoid robot sector, citing a lack of significant breakthroughs in technology, while others remain optimistic about its long-term potential [3]. - The AI application sector is gaining traction, with several funds increasing their stakes in major internet companies, reflecting confidence in future growth in AI applications [3]. Group 4: AI Industry Outlook - The AI industry is entering a new development phase, with a growing demand for models and applications driving investments in computing power [4][5]. - Global demand for AI infrastructure is expanding, with significant investments from North American and domestic tech giants, indicating a robust growth trajectory for the AI sector [4]. - The upcoming updates to major AI models are expected to further stimulate demand for computing resources in the latter half of the year [5].