Sou Hu Cai Jing·2026-01-05 03:10Core Viewpoint - The AI-focused ETF, Yongying (159141), has seen a strong increase of 3.00%, with significant gains in constituent stocks, indicating a bullish trend in the AI sector [1]. Group 1: ETF Performance - The Yongying AI ETF has reached a new high in scale at 9.52 billion, ranking in the top quarter among comparable funds [2]. - Key stocks within the ETF include: - Xiechuang Data (300857) up 12.26% with a trading volume of 3.146 billion - Youkede (688158) up 7.58% with a trading volume of 1.366 billion - Lankai Technology (688008) up 7.11% with a trading volume of 3.828 billion - Beijing Junzheng (300223) up 6.48% with a trading volume of 2.259 billion - Tianzhun Technology (688003) up 5.65% with a trading volume of 0.361 billion [2]. Group 2: Industry Developments - Changxin Technology's IPO on the Sci-Tech Innovation Board has been accepted, aiming to raise 29.5 billion for memory chip manufacturing upgrades, which will boost orders in the semiconductor equipment and materials sectors [3]. - The IPO is expected to lower procurement costs in AI servers, cloud computing, and robotics, optimizing the cost structure of the industry chain [3]. - The listing will help break the monopoly of foreign giants in high-end storage, providing local high-bandwidth memory support for domestic AI chips and large models [3]. Group 3: Market Trends - The entry of Chinese large model companies into the Hong Kong stock market signifies a completed "technology-product-capital" loop, providing public financing channels for foundational models [4]. - This transparency in market capitalization will pressure startups to focus on actual profitability rather than just parameter comparisons, accelerating the convergence of business models [4]. - The listing and information disclosure will lower procurement thresholds for government and financial institutions, leading to faster release of demand in the G/B sector [4]. - The first AI ETF, Yongying (159141), covers the entire AI industry chain, with over 78% allocation in AI chips, optical modules, and cloud computing [4].