创业板人工智能指数(970070.CNI)
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市场交投活跃!创业板人工智能ETF大成(159242)量价齐升涨超2%,机构判断AI应用商业化具备广阔发展空间
Xin Lang Cai Jing· 2026-01-14 05:23
Group 1 - The AI-focused ETF, Dachen (159242), has seen a 2.02% increase, with a trading volume of 1.33 billion yuan and a turnover rate of 39.71%, indicating active market participation [1] - The underlying index, the ChiNext AI Index (970070), rose by 2.29%, with significant gains from constituent stocks such as Yidian Tianxia (up 14.27%) and Yihua Lu (up 13.31%) [1] - The ChiNext AI Index emphasizes the engineering and industrialization of AI, focusing on foundational technologies like optical modules, computing chips, edge computing, and operating systems, distinguishing it from other indices that prioritize algorithm models [1] Group 2 - The Ministry of Industry and Information Technology has issued an action plan for the high-quality development of industrial internet platforms, aiming for over 450 influential platforms by 2028 and promoting AI technology across the industrial chain [2] - DeepSeek has released a new research result called "Engram," which introduces a scalable memory module to enhance knowledge storage and retrieval efficiency in large language models, significantly improving performance in various tasks [2] - The AI sector is expected to see a new wave of innovation driven by generative AI, with traditional consumer electronics like AI smartphones and PCs entering an upward cycle due to consumer upgrades [2] Group 3 - Recent events in the AI application field, such as the listings of Zhiyu and MiniMax on the Hong Kong Stock Exchange, are believed to transition the industry from technology validation to commercial value realization [3] - The AI application landscape is expanding, with generative search (GEO) emerging as a key area of exploration, while content interaction is becoming a significant breakthrough point, enhancing user engagement in gaming and other content sectors [3] - The Dachen ChiNext AI ETF and related funds are positioned to benefit from the ongoing developments in the AI sector [3]