大数据ETF（515400）紧密跟踪中证大数据产业指数（930902.CSI），指数精选沪深两市50只大数 据产业主题上市公司股票样本，涉及大数据存储设备、大数据分析技术、大数据运营平台、大数据生 产、大数据应用等领域，科大讯飞、中科曙光、紫光股份等科技公司是其前十大重仓股。场外投资者的 可以通过联接基金（A类018134；C类018135）关注投资机遇。 早盘市场情绪逐步回暖，三大指数震荡攀升，AI应用端以及大数据方向集体上行，盘中智谱AI、 云计算、东数西算、AI应用、AI智能体等细分方向涨幅居前，大数据ETF（515400）盘中涨幅达 3.19%，创业板软件 ETF 富国（159107）盘中涨幅达3.01%。其中大数据ETF成分股云天励飞20cm涨 停，城地香江、云赛智联等均涨停。 每日经济新闻 近期消息面催化不断，华为2月26日发布AI代码智能体，覆盖代码生成、测试、知识问答，接入 GLM-5、DeepSeek及鸿蒙专属模型，大幅提升开发者效率。 另外，英伟达 GTC 2026 于3月16–19日在加州圣何塞举办，为全球AI算力年度盛会。黄仁勋将发布 全球首见的推理专用LPU芯片，同步推出 Feynm ...

Group 1 - The core viewpoint of the news highlights the active performance of the artificial intelligence sector, particularly in areas such as optical modules, data rights confirmation, and AI corpus, with significant gains in related ETFs [1] - The ChiNext AI ETF (159246) saw an intraday increase of 6.39%, while the communication equipment ETF (159583) rose by 5.71%, and the Sci-Tech AI ETF (589380) increased by 3.57% [1] - The Ministry of Industry and Information Technology announced a notice to develop national computing power interconnection nodes, aiming to build a system for national computing power interconnection nodes [1] Group 2 - The ChiNext AI ETF (159246) tracks the ChiNext AI Index, which selects 50 companies from the ChiNext market, covering the entire AI industry chain, including hardware, software, and application sectors [2] - The index focuses on leading companies in communication equipment and optical modules, ensuring comprehensive coverage of the AI industry [2]

国泰海通证券认为，展望2026年，有望看到AI应用从可用到好用，与多元化商业模式落地，AI应 用有望成为2026年AI产业行情核心主线，看好持续加码资本开支且产品成熟度高的互联网平台公司以 及深耕垂直领域产品化落地的医疗、金融、教育等领域应用公司。 资料显示，创业板软件ETF富国（159107）跟踪的创业板软件指数，精选50只创业板软件核心标 的，覆盖基础软件、应用软件、IT服务全链条，自带20CM高弹性属性。在AI赋能、数字化转型政策推 动下，成分企业业绩弹性与估值潜力值得期待嗯， 每日经济新闻 （责任编辑：董萍萍 ） 【免责声明】本文仅代表作者本人观点，与和讯网无关。和讯网站对文中陈述、观点判断保持中立，不对所包含内容 的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考，并请自行承担全部责任。邮箱： news_center@staff.hexun.com 2月3日早盘，A股迎来普遍反弹，超4600只个股飘红。CPO、AI应用端、存储、商业航天等多个概 念活跃。 相关ETF中，创业板软件ETF富国（159107）早盘高开震荡，最高涨逾2.5%，截至10点23分，涨幅 为1.76%。成分股来看， ...

Group 1 - The core viewpoint of the news highlights the active performance of AI applications and big data sectors, with significant gains in various ETFs related to these fields, such as the Growth Enterprise Market Software ETF and Big Data ETF, which saw increases of 5.42% and 5.04% respectively [1] - The Ministry of Industry and Information Technology has recently issued an action plan for the high-quality development of industrial internet platforms from 2026 to 2028, focusing on differentiated development and encouraging platform enterprises to prioritize quality over quantity [1] - The action plan includes initiatives to enhance data collection and utilization in key manufacturing industries, aiming to build high-quality industry data sets and promote the digital transformation of manufacturing enterprises [1] Group 2 - The Growth Enterprise Market Software ETF tracks the Growth Enterprise Market Software Index, selecting 50 core stocks in the software sector, covering the entire chain of basic software, application software, and IT services, with a high elasticity attribute [2] - The performance elasticity and valuation potential of constituent companies are expected to improve due to the empowerment of AI, domestic substitution, and policies promoting digital transformation [2]

Core Viewpoint - The article emphasizes that 2025 is a "golden window period" for AI investment, driven by a deep resonance of policy, technology, and demand, transitioning the industry from "possibility" to "certainty" [4]. Policy Support - The Chinese government has elevated AI as a core engine for economic transformation, with a goal of over 70% penetration of smart terminals by 2027 and a fully intelligent society by 2035 [6]. - In Q1 2025, domestic AI-related companies received government subsidies that increased by 38% year-on-year, with subsidies for computing infrastructure and intelligent robotics exceeding 50% growth [6]. Technological Breakthroughs - OpenAI's release of the o3 and o4-mini models has advanced AI capabilities from understanding to performing tasks [6]. - The establishment of the Agentic AI Foundation (AAIF) aims to unify industry standards, enhancing AI application development efficiency by 40% and reducing implementation costs by 25% [6]. Demand Surge - Global tech giants are aggressively investing in AI infrastructure, with Microsoft planning to invest $17.5 billion in India over four years and Alibaba Cloud aiming for over 380 billion yuan in the next three years [7]. - The demand for AI has expanded from consumer entertainment to B2B applications, with smart factories improving efficiency by 30% and medical AI achieving over 92% accuracy in imaging diagnostics [7]. Investment Strategy - The complexity and volatility of the AI industry necessitate diversified investment strategies, as individual stock performance can be significantly affected by changes in policy, technology, and production schedules [9]. - Index-based investments are highlighted as a superior solution for ordinary investors, allowing them to capture industry growth while mitigating risks associated with individual stocks [9]. ETF Products - The company has developed a range of ETFs that cover the entire AI industry chain, catering to different risk appetites. These include: - The AI ETF focusing on "computing devices + software services + application scenarios" [10]. - The Sci-Tech AI ETF targeting core areas like AI chips [10]. - The Software ETF concentrating on AI software and fintech [10]. - The Robotics ETF, which has a high concentration on humanoid robots [10]. Risk Management - The company employs a robust risk management system that includes real-time monitoring and diversified asset allocation to mitigate the impact of uncertainties in the AI sector [13].