截至2025年8月27日 14:27，上证科创板人工智能指数(950180)强势上涨4.36%，成分股乐鑫科技(688018)上涨16.52%，云天励飞(688343)上涨15.23%，晶晨股 份(688099)上涨7.17%，澜起科技(688008)，复旦微电(688385)等个股跟涨。科创AIETF(588790)上涨4.40%，最新价报0.83元。拉长时间看，截至2025年8月26 日，科创AIETF近1周累计上涨13.41%。 流动性方面，科创AIETF盘中换手18.61%，成交13.92亿元，市场交投活跃。拉长时间看，截至8月26日，科创AIETF近1周日均成交10.09亿元，居可比基金 第一。 【事件/资讯】 1、国务院印发《关于深入实施"人工智能+"行动的意见》，推动AI与经济社会各领域广泛深度融合，加快实施人工智能+科技、产业、消费、民生、治理、 全球合作等6大领域重点行动，并强化模型、数据、算力、应用等领域的基础支撑。 2、科创AI第一大权重股寒武纪公布业绩，第二季度单季总营收17.69亿元，归母净利润6.83亿元。2025年上半年实现营业收入28.81亿元，同比增长 4347.82%；实现 ...

寒武纪中报超预期，上半年营收飙升4347.82%，净利超10亿。公司昨晚发布半年报显示，2025年上半 年实现营收28.81亿元，同比增长4347.82%；净利润10.38亿元，而去年同期亏损5.3亿元，同比实现扭亏 为盈。 开通科创板门槛较高，很多投资者借道ETF参与。其中，科创AIETF(588790)年内资金净流入额50.29亿 元，最新规模71.26亿元，均位居同指数第一。 科创AIETF覆盖人工智能产业上中下游全产业链，其中，半导体权重达47.8%，占据半壁江山，权重股 包括寒武纪、金山办公、澜起科技、石头科技、芯原股份、恒玄科技等。 格隆汇8月27日｜AI产业链全线走强，乐鑫科技涨超10%，云天励飞涨超7%，寒武纪涨6%，带动科创 AIETF(588790)涨3.65%，自4月9日以来，科创AIETF(588790)涨幅超50%。 消息面上，国务院印发《关于深入实施"人工智能+"行动的意见》，意见提出，强化智能算力统筹，支 持人工智能芯片攻坚创新与使能软件生态培育，加快超大规模智算集群技术突破和工程落地。 ...

Core Viewpoint - The AI application market is entering a new phase of growth, driven by advancements in models like GPT-5 and increasing demand for computing power, particularly in high-trust sectors such as healthcare, education, and finance [4][5]. Group 1: Market Performance - The Shanghai Stock Exchange Sci-Tech Innovation Board Artificial Intelligence Index (950180) rose by 0.43%, with notable increases in constituent stocks such as Jingchen Co., Ltd. (688099) up 7.62% and Youkede (688158) up 2.21% [3]. - The Sci-Tech AI ETF (588790) has seen a 2.82% increase over the past week, with a current price of 0.66 yuan [3]. - The latest scale of the Sci-Tech AI ETF reached 70.34 billion yuan, marking a new high since its inception [6]. Group 2: Investment Trends - The second phase of domestic AI application investment is underway, with a focus on hardware and multi-modal applications [4]. - The index is projected to achieve a net profit of 12.8 billion yuan in 2025, reflecting a year-on-year growth of 96.34% [4]. - The top ten weighted stocks in the index accounted for 67.36% of the total, indicating a concentrated investment in leading AI companies [10]. Group 3: Fund Performance - The Sci-Tech AI ETF experienced a significant increase in shares, with a growth of 3.63 million shares over the past week [7]. - The fund has shown a net inflow of 348 million yuan over the last five trading days, averaging a daily net inflow of 69.67 million yuan [7]. - The fund's performance metrics include a 5.60% increase in net value over the past six months, ranking first among comparable funds [8][9].

截至2025年8月8日 14:06，上证科创板人工智能指数(950180)下跌2.22%。成分股方面涨跌互现，航天宏图(688066)领涨2.01%，奥普特(688686)上涨1.67%， 石头科技(688169)上涨0.60%；福昕软件(688095)领跌8.67%，合合信息(688615)下跌6.68%，金山办公(688111)下跌6.46%。科创AIETF(588790)下跌2.31%， 最新报价0.63元。拉长时间看，截至2025年8月7日，科创AIETF近1周累计上涨2.21%。 流动性方面，科创AIETF盘中换手7.42%，成交4.97亿元。拉长时间看，截至8月7日，科创AIETF近1周日均成交4.78亿元，居可比基金第一。 消息面上，北京时间8月8日，OpenAI举行线上发布会推出GPT-5。OpenAI首席执行官Sam Altman称，GPT-5是该公司此前人工智能模型的"重大升级"，并表 示"与它交流，真的就像在和任何领域的专家对话"。GPT-5 将面向所有免费用户及众多付费ChatGPT订阅用户开放，付费用户拥有更高的使用限额，该模型 尤其有助于计算机编程。 广发证券指出，日前阿里推出了在 ...

Core Viewpoint - The artificial intelligence sector is experiencing significant growth, with the Sci-Tech AI ETF (588790) seeing a rise of over 15% since June, driven by strong performances from key companies in the industry [1] Group 1: Market Performance - The Sci-Tech AI ETF (588790) increased by 1.72% today, with major contributors like Aobo Zhongguang rising over 8%, Tianzhun Technology, Lingyun Light, and Lankai Technology rising over 6% [1] - Year-to-date net inflow into the Sci-Tech AI ETF (588790) reached 5.888 billion yuan, with the latest scale at 6.484 billion yuan, making it the leader in its category in terms of both capital attraction and scale [1] Group 2: Industry Drivers - The AI sector is benefiting from multiple favorable developments, including the approval of the "Artificial Intelligence +" action plan and new policies in Shanghai to support AI applications [1] - Strong financial results from Microsoft and Meta exceeded market expectations, highlighting the commercial viability of the "Cloud + AI + Ecosystem" strategy and providing a solid financial foundation for Meta's ongoing large-scale AI initiatives [1] Group 3: Future Outlook - According to Zhonghang Securities, the acceleration of the "Artificial Intelligence +" strategy indicates that the era of AI Agents is rapidly approaching, with the second half of 2025 expected to mark the "year of AI application landing" [1]

Group 1 - The core viewpoint of the news highlights the performance of the Sci-Tech Innovation AI ETF (科创AIETF), which has shown significant growth and liquidity in recent weeks, with a net inflow of 2.60 billion yuan and a total scale reaching 52.64 billion yuan, marking a new high since its inception [4][5][6] - The Sci-Tech Innovation AI ETF has achieved a 6-month net value increase of 11.38%, ranking first among comparable funds, and has a historical holding period profitability probability of 100% [5][6] - The top ten weighted stocks in the Sci-Tech Innovation AI Index account for 68.03% of the index, indicating a concentrated investment in key players within the AI sector [6][7] Group 2 - Domestic AI agents are rapidly emerging, driving the development of AI programming platforms, with companies like ByteDance, Tencent, and Alibaba launching various platforms tailored to different development needs [4] - The trading volume of the Sci-Tech Innovation AI ETF has been robust, with an average daily transaction of 3.34 billion yuan over the past week, ranking first among comparable funds [4] - The management fee for the Sci-Tech Innovation AI ETF is relatively low at 0.50%, which may attract more investors looking for cost-effective investment options [5]

Group 1 - The core viewpoint of the news highlights the performance of the Sci-Tech Innovation Board Artificial Intelligence Index and the related ETF, indicating fluctuations in stock prices and overall market trends [3][4][5] - As of July 22, 2025, the Sci-Tech Innovation Board AI Index (950180) decreased by 0.75%, with notable gainers including Lingxi Network (688475) up by 2.69% and Cambricon (688256) up by 2.13% [3] - The Sci-Tech AI ETF (588790) saw a decline of 1.01%, with a latest price of 0.59 yuan, but had a weekly increase of 3.48% as of July 21, 2025, ranking 2nd among comparable funds [3][4] Group 2 - The latest scale of the Sci-Tech AI ETF reached 4.777 billion yuan, marking a new high since its inception and ranking 1st among comparable funds [4] - The ETF experienced a significant increase in shares, with a growth of 318 million shares over the past two weeks, also ranking 1st among comparable funds [4] - Net inflow of funds into the Sci-Tech AI ETF was 49.806 million yuan, with a total of 164 million yuan net inflow over the last five trading days [5] Group 3 - Leveraged funds have been actively investing in the Sci-Tech AI ETF, with a maximum single-day net purchase of 148 million yuan, bringing the latest financing balance to 466 million yuan [5] - The ETF has shown an 8.12% increase in net value over the past six months, with a historical average return rate of 9.71% during rising months [5] - The management fee for the Sci-Tech AI ETF is 0.50%, and the custody fee is 0.10%, which are relatively low compared to comparable funds [5] Group 4 - The Sci-Tech AI ETF closely tracks the Sci-Tech Innovation Board Artificial Intelligence Index, which includes 30 large-cap companies providing foundational resources, technology, and application support for AI [6] - As of June 30, 2025, the top ten weighted stocks in the index accounted for 68.03% of the total index weight, with notable companies like Cambricon (688256) and Lanke Technology (688008) included [7]

Group 1: Core Insights - The A-share market showed mixed performance with the Shanghai Composite Index declining, while the Shenzhen Component Index rose by 0.45% and the ChiNext Index increased by over 1% [1] - The Sci-Tech 100 Index, focusing on "hard technology" and biopharmaceuticals, demonstrated strong performance with most constituent stocks rising, including notable gains from companies like ShenZhou Cell and LaiSi Information [1][2] - The Sci-Tech 100 Index ETF (588030) has seen a cumulative increase of over 40% in the past year and over 11% year-to-date as of July 2 [1] Group 2: Sci-Tech 100 Index Overview - The Sci-Tech 100 Index serves as a representative of growth style in the hard technology era, focusing on small to mid-cap growth technology companies [2] - The index consists of 100 securities selected from the Sci-Tech Board, with 70% of the constituent stocks having a market capitalization below 20 billion yuan, indicating a differentiated positioning compared to the Sci-Tech 50 [2] Group 3: Policy and Technology Drivers - The "1+6" policy announced at the Lujiazui Forum in 2025 is a key catalyst for the index, allowing unprofitable tech companies to go public, benefiting biopharmaceutical and semiconductor firms [3] - The median R&D intensity of constituent companies in the index is 16.1%, significantly higher than the overall level of the Sci-Tech Board, driving technological breakthroughs [3] Group 4: Market Performance - The Sci-Tech 100 Index exhibits high volatility and high return characteristics, particularly during periods of technological innovation [4] - The index ETF reached a maximum increase of 24% following the launch of the domestic model DeepSeek-R1 in February 2025 [4] Group 5: Core Industry Analysis - The Sci-Tech 100 Index is heavily focused on hard technology sectors, with biopharmaceuticals (30%), semiconductors (28.7%), and new energy (17%) collectively accounting for over 75% of the index [6] - The index's balanced industry distribution reduces the risk of cyclical fluctuations compared to the Sci-Tech 50, which has a higher concentration in semiconductors [6] Group 6: Biopharmaceuticals - The biopharmaceutical sector is experiencing a dual boost from fundamentals and policies, with companies like BeiGene reporting a 50.17% year-on-year revenue increase in Q1 2025 [7] - The sector is expected to enter a period of recovery with significant valuation upside, as it has returned to the 40th percentile of the past decade's valuations [7] Group 7: Semiconductors - The semiconductor industry is showing signs of recovery after a prolonged downturn, with a 12.6% year-on-year revenue growth in Q1 2025 [8] - Domestic companies are making progress in equipment localization, although the localization rate for critical processes remains below 15% [8] Group 8: Sci-Tech 100 Index ETF (588030) - The Sci-Tech 100 Index ETF (588030) leads the market with a scale of 6.322 billion yuan as of July 1, 2025, making it the preferred tool for investors in the growth sector [9] - The ETF covers a diverse range of sectors, including semiconductors (18.6%), biopharmaceuticals (30.6%), and new energy (19.7%), with a high average R&D investment of over 15% [9][10]

Market Overview - The A-share market experienced a collective decline on July 2, with the Sci-Tech Innovation Board AI Index dropping over 1%, and most constituent stocks, including DR Hengxuan Technology, Lexin Technology, and Fudan Microelectronics, falling more than 3% [1] - The Sci-Tech AI ETF (588790) recorded a trading volume exceeding 100 million yuan, with a premium during intraday trading, and has seen a cumulative increase of over 15% year-to-date as of July 1 [1] - The Sci-Tech 100 Index ETF (588030) also fell over 2%, with a trading volume exceeding 100 million yuan, and has a cumulative increase of over 41% in the past year and over 14% year-to-date as of July 1 [1] Company Developments - Alibaba Cloud is expanding its global infrastructure by adding data centers in Malaysia and the Philippines, increasing its presence to 29 regions and 90 availability zones, with the third availability zone in Malaysia launched on July 1 and a second in the Philippines planned for October [1] - Alibaba Cloud plans to establish its first global AI capability center, collaborating with over 1,000 companies to create more than 10 industry AI demonstration projects and partnering with over 120 universities to train 100,000 AI talents annually [1] AI Industry Insights - Meituan's AI assistant "Kangaroo Advisor" App is currently in internal testing, aimed at small and medium-sized businesses to enhance operational efficiency through data visualization and AI analysis across four main areas: "track selection," "store location," "menu development," and "store operations" [2] - GF Securities notes a rapid increase in AI inference demand and the emergence of super applications, with significant growth in CSPAITokens consumption both domestically and internationally, indicating a robust growth potential for the AIPCB industry [2] - Huatai Securities highlights that the iteration of large models and the growth in inference demand are expected to sustain high demand for computing power, while domestic manufacturing advancements will enhance the localization rate of equipment manufacturers [3] Investment Recommendations - Focus on high-quality companies with strong growth certainty in the overseas computing power chain, particularly in core segments like optical modules and copper interconnects [4] - In the domestic market, the sustained demand for computing power and breakthroughs in large model capabilities are likely to drive increased capital expenditures from major companies, with a focus on IDC, computing power leasing, and related equipment [4] - The AI industry is expected to continue its upward trajectory, with an emphasis on self-sufficiency and the expansion of the Ascend industry chain benefiting related upstream and downstream companies [4] ETF Insights - The Sci-Tech AI ETF (588790) closely tracks the Sci-Tech Innovation Board AI Index, covering 30 companies involved in AI chip production, algorithm frameworks, and smart terminals, with the top ten weighted stocks accounting for 70.57% of the ETF [5] - The average R&D investment of constituent stocks exceeds 23.6%, significantly higher than the A-share market average of approximately 5%, with median revenue growth rates of 61% and net profit growth rates of 45% projected for Q1 2025 [5] - The average market capitalization of constituent stocks is around 28 billion yuan, with 60% of the weight concentrated in companies with market caps between 10 billion and 50 billion yuan, differentiating it from the Sci-Tech 50 [5]

Group 1 - The A-share market showed mixed performance on July 1, with the AI index on the Sci-Tech Innovation Board declining over 1%, and most component stocks, including Cambrian-U, falling more than 6% [1] - The Sci-Tech AI ETF (588790) recorded a trading volume exceeding 100 million yuan, with a cumulative increase of over 17% year-to-date as of June 30 [1] - The Sci-Tech 100 Index ETF (588030) strengthened in the afternoon session, with a trading volume exceeding 200 million yuan and a year-to-date increase of over 13% as of June 30 [1] Group 2 - Tianfeng Securities maintains a positive outlook on the overseas computing power industry chain, which remains robust despite challenges, and anticipates continued investment opportunities in the AI sector [2] - The firm predicts that 2025 will be a pivotal year for AI infrastructure in China, with significant advancements in AI applications expected [2] - Huachuang Securities highlights the exponential growth in edge AI development, with applications expanding across various fields such as PCs, automotive devices, and robotics [3] Group 3 - The Sci-Tech AI ETF (588790) closely tracks the AI index, covering 30 major companies involved in AI resources, technology, and applications, with the top ten stocks accounting for 70.57% of the ETF [3][4] - The average R&D investment of the component stocks exceeds 23.6%, significantly higher than the A-share market average of approximately 5% [3] - The average market capitalization of the component stocks is around 28 billion yuan, with 60% of the weight concentrated in companies with market caps between 10 billion and 50 billion yuan [4] Group 4 - The current price-to-earnings (P/E) ratio for the ETF is 116 times, placing it in the 16th percentile over the past three years, while the price-to-book (P/B) ratio is 11.26 times, at the 39th percentile historically [5]