科创人工智能ETF汇添富(589560)今日上市!科创新时代,AI新纪元!如何把握新一轮科技革命配置机遇?
Xin Lang Cai Jing·2025-09-05 02:07

Core Insights - The emergence of ChatGPT in November 2022 marked a significant shift in the AI industry, achieving over 100 million users in just two months, catalyzing a transformation in the AI industry chain and igniting a global investment wave in AI [1] - DeepSeek has emerged as a leader in the AI theme, with the Sci-Tech AI ETF (589560) showing a cumulative increase of 38%, outperforming major indices like the CSI 300 and the ChiNext Index, indicating a reassessment of the technological potential of Chinese tech companies [1] AI Industry Chain Composition - The AI industry chain consists of upstream hardware (AI chips, servers, optical modules), midstream technology (large models, cloud computing services), and downstream software applications (AI software, edge AI) [2] - Hardware investments are seeing high certainty, with major companies increasing capital expenditures in AI, exemplified by a tech giant's three-year plan to invest 380 billion yuan in AI and cloud infrastructure, potentially driving significant growth in domestic computing and semiconductor sectors [2] Market Growth and Projections - The AI application market is projected to grow at a compound annual growth rate (CAGR) of 25.9% over the next decade, with IDC forecasting the Chinese AI market to reach $51.13 billion by 2025, a 34.8% year-on-year increase, and $101 billion by 2028 [6] - The acceleration of large model iterations is revitalizing the industry chain, with over 40 large models showcased at the WAIC 2025, enhancing personal efficiency and the deployment of AI agents [6] Policy and Technological Drivers - AI development is heavily supported by policy, with initiatives aimed at integrating AI into six key sectors by 2027 and achieving over 90% penetration by 2030, indicating a robust growth trajectory for the AI industry [7][9] - The domestic AI industry is experiencing a shift towards localization and technological upgrades, with DeepSeek reshaping the AI model landscape and increasing the market share of domestic AI chips [9] Investment Opportunities and Strategies - The current investment landscape in AI is characterized by a divergence in hardware and software strategies, with hardware being the most reliable segment for immediate returns, while the model and application layers present significant long-term potential [11] - The Sci-Tech AI Index is highlighted as a comprehensive investment vehicle for the AI industry, covering "computing power + technology + applications," and is expected to reflect industry trends more rapidly than other indices [12][15]