AI Concept Stocks Show Divergent Performance in August: Dual Drivers of Policy Benefits and Commercialization

In mid-August 2026, AI concept stocks in the A-share market exhibited significant structural divergence. Driven by continuous policy dividends and accelerated commercialization, various segments of the AI industry chain showed different performances. Data shows that the AI concept index rose 4.2% for the month, outperforming the Shanghai Composite Index by 2.3 percentage points. However, performance varied significantly across sub-sectors: the AI computing infrastructure sector gained 7.5% monthly, with related stocks in Huawei's Ascend chain rising over 10%; the AI application sector increased by 5.3%, with enterprise AI service providers showing outstanding performance, with some individual stocks rising over 15%.

I. Market Performance: Computing Power and Applications Dual Mainlines Lead Divergent Trends

Notably, the divergence in AI concept stocks is reflected not only across sectors but also at the individual stock level. Market capital is concentrating on leading companies with core technological advantages and clear commercialization paths. Data shows that among AI concept stocks, the 28 stocks with market capitalization exceeding 50 billion yuan averaged a 6.8% monthly increase, while small-cap stocks with market capitalization below 10 billion yuan averaged only 2.1%, showing a clear "stronger get stronger" characteristic.

From an industry segmentation perspective, the AI computing infrastructure sector performed most prominently, with sub-sectors such as optical communication, chip design, and servers leading in gains. As a core supplier of Huawei's Ascend chain, Accelink Technology, benefiting from policy benefits and earnings growth expectations, has accumulated a rise of over 25% since August, with market capitalization breaking the 100 billion yuan mark. Meanwhile, enterprise AI services, AI medical, and AI finance sectors in the application end also showed bright performance, reflecting market optimism about AI commercialization.

II. Policy Environment: National Strategic Support Brings Major Benefits to Computing Infrastructure

Early August saw the National Development and Reform Commission, Ministry of Industry and Information Technology, and other departments jointly release the "Development Plan for New Generation Artificial Intelligence Computing Infrastructure",明确提出 that by 2028, a national integrated computing power network system will be established, with an average annual growth rate of artificial intelligence computing power exceeding 30%. This policy document provides strong policy support for the construction of AI computing infrastructure.

At the local level, various provinces and cities have also introduced supporting policies. For example, Beijing released the "Implementation Measures for AI Computing Vouchers" in early August, offering up to 30% subsidies for enterprises purchasing computing services; Shanghai plans to invest 20 billion yuan in special funds over the next three years to support AI computing center construction and industrial applications. Guangdong Province also launched the "AI + Manufacturing" special action, planning to cultivate over 100 AI application demonstration enterprises.

The continuous strengthening of policy has made the AI computing infrastructure sector a recent market focus. Taking Huawei's Ascend chain as an example, stimulated by policy benefits, related concept stocks have strengthened collectively, with leading companies like Accelink Technology, Sugon, Cambricon hitting consecutive limit-ups, with market capitalizations breaking the 100 billion yuan mark. Market analysts point out that these policy benefits will directly translate into performance growth for related companies, bringing substantial benefits to the AI computing industry chain.

III. Capital Flows: Institutional Portfolio Rebalancing, Application End Becomes New Favorite

As AI technology continues to mature and commercialization accelerates, market capital is shifting from pure computing infrastructure construction to the AI application end. Q2 mutual fund reports show that the proportion of holdings in the AI application end increased by 3.2 percentage points month-on-month, while the proportion of holdings in computing infrastructure decreased by 1.8 percentage points, indicating that institutional investors are adjusting their main investment lines in AI.

Looking at capital flow data, since August, the AI application sector has continued to receive net capital inflows, especially in sub-sectors like enterprise AI services, AI medical, and AI finance. Data shows that the enterprise AI service sector received over 15 billion yuan in net inflows for the month, with AI service providers focusing on vertical industry solutions receiving capital追捧. In terms of private funds, several top quantitative strategy funds have recently stated they are increasing allocations to the AI application end, especially those companies that have achieved commercialization and have stable cash flows.

A well-known quantitative fund manager said: "AI application companies are shifting from 'concept speculation' to 'performance-driven', which will bring a new round of structural opportunities. We focus on companies with deep accumulation in vertical industries where AI technology can directly translate into commercial value."

IV. Industry Dynamics: Commercialization Accelerates, Application End Shows Bright Performance

In response to policy benefits, the commercialization process in the AI application end is also accelerating. Several AI application companies have recently released impressive semi-annual results, showing the transition of AI technology from laboratories to actual commercial applications.

In the enterprise AI service field, an AI service provider focusing on financial risk control disclosed that revenue in the first half of the year increased by 85% year-on-year, with net profit increasing by 120%, showing significantly accelerated commercialization. The company's CEO stated: "Our AI risk control system has been deployed in multiple banks and financial institutions, with customer renewal rates exceeding 90%, proving the commercial value of AI technology in vertical fields. As AI algorithms continue to optimize, our products are expanding from single risk control functions to full-process financial service solutions, with customer stickiness and ARPU values continuously increasing."

In the AI medical field, a medical AI company's AI-assisted diagnostic system has received approval from the National Medical Products Administration and has begun deployment in multiple Grade A tertiary hospitals. The company disclosed that usage of the AI-assisted diagnostic system increased by 200% year-on-year in the first half, with related business revenue increasing by 150%. The company's CTO stated: "Our AI-assisted diagnostic system has achieved breakthrough progress in multiple disease areas such as lung cancer and breast cancer, with diagnostic accuracy reaching over 95%, comparable to senior physicians. With the accumulation of medical data and algorithm optimization, our products are expanding from single diagnosis to full disease course management, continuously releasing commercial value."

The AI financial field also showed bright performance. A smart investment advisory platform disclosed that its asset management scale has exceeded 50 billion yuan, a 120% increase compared to the same period last year, with user numbers exceeding 10 million. The company stated that continuous optimization of AI algorithms is the key factor in its user growth and asset management scale expansion. The company's CTO stated: "Our AI investment advisory system has upgraded from 'standard configuration' to 'personalized customization', able to dynamically adjust investment strategies based on user risk preferences, investment objectives, and market conditions, with significant improvements in customer satisfaction and renewal rates."

V. Future Outlook: Second Half AI Investment Mainline May Shift

Considering the policy environment, capital flows, and industry dynamics, the main investment line for AI concept stocks in the second half may shift from pure computing infrastructure construction to application end commercialization. This shift is mainly based on the following reasons:

• In terms of policy, although computing infrastructure construction will continue, policy focus has begun to tilt toward the application end, with local governments introducing specific measures to support AI application implementation, providing a good development environment for AI application companies;
• In terms of capital, as the performance of AI application companies continues to improve, market risk appetite increases, and capital shifts from concept speculation to performance-driven, application end companies with clear commercialization paths will receive more capital favor;
• In terms of industry, AI technology is transitioning from general large models to vertical industry solutions, with commercial value gradually emerging, and application end companies are expected to enter an earnings realization period, with valuation logic shifting from "PEG" to "P/E".

For investors, second-half AI concept stock investment should focus on the following directions: first, AI application leaders with core technological advantages and commercialization paths, such as iFlytek, SenseTime; second, vertical industry AI solution providers, especially in high-growth fields like finance, healthcare, and manufacturing; third, AI + traditional industry integration companies that have both traditional business fundamentals and can achieve transformation and upgrading through AI technology, such as in industrial internet, autonomous driving, and other fields.

Of course, investing in AI concept stocks also requires attention to risks. On one hand, AI technology iteration is fast, and companies need continuous R&D investment to maintain competitive advantages, which may affect short-term profitability; on the other hand, AI application implementation still faces challenges such as data security and privacy protection, and related policy and regulatory changes may impact industry development. Investors need to rationally view investment opportunities in AI concept stocks and avoid blind speculation.

Overall, the AI concept stock market in the second half of 2026 will show a pattern of "computing power forming the base, applications blooming". Driven by policy dividends and commercialization, various segments of the AI industry chain will face different development opportunities. Investors should rationally allocate based on their risk preferences and investment goals to grasp the investment dividends of the AI era.