Core Viewpoint - The big data ETF Huabao (516700) is gaining attention due to its focus on computing power and AI applications, reflecting strong market interest in AIDC (AI Data Centers) as a promising investment area [1][2]. Market Performance - Huabao (516700) experienced a daily inflow of 7.56 million yuan, indicating investor confidence in the future performance of AIDC [2]. - The ETF reached a new high with a price increase of over 3.7% before experiencing a correction, showing a volatility of 8.53% [1]. AIDC Sector Insights - AIDC is viewed as a high-certainty infrastructure sector in the AI era, driven by five key factors: explosive demand, supply shortages, policy support, technological iteration, and business model upgrades [4]. - Demand is surging due to exponential growth in computing power needs for AI model training and inference [4]. - Supply is constrained, with a projected shortage of GPUs and AI servers expected to last 2-3 years [4]. - Government policies are increasingly supportive, with initiatives to accelerate computing infrastructure development and financial subsidies for AIDC construction [4]. - Technological advancements are enhancing the local computing node advantages of AIDC, expanding market opportunities [4]. - The business model is characterized by high barriers to entry and long-term contracts, ensuring stable cash flow and profitability [5]. ETF Composition - By the end of 2025, the index tracked by Huabao (516700) will have a weight of 40.91% in computing power concepts and 37.43% in AI application concepts [6]. Industry Trends - The focus on domestic computing power and AI applications aligns with national strategies for technological independence and digital productivity enhancement [7][8]. - The ongoing trend towards domestic substitution is expected to accelerate, particularly in the context of the "信创" (Xinchuang) initiative, which aims to promote self-sufficiency in technology [8].
ETF盘中资讯|ETF涨停+12连阳后,首度回调!大数据ETF华宝(516700)单日吸金756万元!AIDC,AI时代的“新基建”!
Sou Hu Cai Jing·2026-01-13 07:04