AI on the ChiNext: Computing Power and AI Applications Rally in Tandem

Deep News
Yesterday

On Thursday, the ChiNext AI sector experienced an independent rally, with both computing power and AI applications showing notable strength. In the computing power segment, 景嘉微 climbed nearly 5%, 太辰光 rose 4.65%, and 天孚通信—along with 协创数据—gained over 3%. On the applications side, 芒果超媒 led with a surge of more than 6%, while 深信服 advanced by nearly 3%.

The highly anticipated 创业板人工智能ETF华宝 (159363) traded actively on the exchange, with its underlying index continuing its upward trajectory and drawing significant investor attention to this benchmark's strategic positioning opportunities.

From a structural perspective, ChiNext AI is essentially the sum of ChiNext computing power and ChiNext AI applications. On the computing power front, the index primarily focuses on optical modules, supplemented by IDC data centers and computing power leasing. Optical modules handle the interconnection of computing resources, while IDCs and leasing services support their operation. Computing power provides the foundational infrastructure, while applications transform that capability into practical productivity across various industries—computing power opens up possibilities, while applications deliver the value.

In the computing power realm, the recent rate cut decision by the Federal Reserve has boosted market risk appetite, potentially channeling capital flows back into high-consensus sectors like optical modules and other computing infrastructure. Additionally, the recent Optical Communication Expo has validated strong industry momentum, with Goldman Sachs raising its optical module shipment forecasts. Emerging technologies such as NPO and CPO continue to generate fresh narrative catalysts, reinforcing the sector's bullish outlook.

In the AI applications segment, short-drama concepts like 芒果超媒 have broadly advanced, highlighting the potential for future catalysts. Industry data shows that in the first eight months of this year, over 430,000 micro-dramas were launched nationwide—13 times the total for the entire previous year—with AI-generated content accounting for more than 90% of those releases. The national micro-drama user base has surpassed 800 million, and the market size is projected to exceed 100 billion yuan by 2025. Looking ahead, AI applications are likely to expand from short dramas into advertising, e-commerce, gaming, education, and other verticals, with the market shifting from theme-driven speculation toward fundamental validation.

For investors seeking exposure to both ChiNext computing power and AI applications, the 创业板人工智能ETF华宝 (159363) and its off-exchange feeder funds (Class A 023407 and Class C 023408) offer targeted access, with a strong emphasis on optical module and CPO leaders while also covering AI application plays. The underlying index allocates over 35% of its weight to 中际旭创, 新易盛, and 天孚通信, positioning it as a core vehicle for AI computing power exposure.

Data sources include the Shenzhen and Shanghai stock exchanges, Wind, and others. As of August 31, 2026, according to the Guozheng Index, the top three constituents of the ChiNext AI Index were 新易盛 (12.61%), 中际旭创 (11.99%), and 天孚通信 (10.25%).

Investors are reminded that recent market volatility may be elevated, and short-term fluctuations do not indicate future performance. Please invest rationally based on your own capital situation and risk tolerance, with careful attention to position sizing and risk management. For ETF-related fees, subscription and redemption agents may charge commissions of up to 0.5% when investors subscribe or redeem fund shares. On-exchange trading fees depend on the actual rates charged by securities firms, and no sales service fee is levied.

Regarding feeder fund fees: HuaBao ChiNext AI ETF Feeder Fund Class C does not charge subscription fees; redemption fees are 1.5% within 7 days and 0% thereafter; a sales service fee of 0.3% applies. Class A subscription fees range from 1% for investments under 1 million yuan, 0.6% for amounts between 1 million and 2 million yuan, and 1,000 yuan per transaction for amounts above 2 million yuan; redemption fees are 1.5% within 7 days and 0% thereafter; no sales service fee is charged. According to the fund manager's assessment, the ChiNext AI ETF HuaBao carries an R4 risk rating (medium-high risk), suitable for aggressive (C4) and above investors; please confirm suitability matches with your sales institution.

Risk disclosure: ChiNext AI ETF HuaBao passively tracks the ChiNext AI Index, which has a base date of December 28, 2018, and a release date of July 11, 2024. The index's annual returns for 2021-2025 were 17.57%, -34.52%, 47.83%, 38.44%, and 106.35%, respectively, with corresponding annualized volatilities of 23.73%, 27.34%, 38.02%, 45.42%, and 41.1%. Index constituents are adjusted periodically according to the Index's rules, and historical back-tested performance does not guarantee future results. Index constituents are shown for illustrative purposes only, and any mention of individual stocks does not constitute investment advice or represent any fund's holdings or trading activity. All information in this article is for reference only; investors must take full responsibility for their own investment decisions. Any views, analyses, or forecasts herein do not constitute investment advice, and the publisher assumes no liability for any direct or indirect losses arising from the use of this content. Fund investment carries risks, and past performance does not indicate future results; the performance of other funds managed by the same manager does not guarantee this fund's performance. Please invest with caution.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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