In-depth Analysis of AI Concept Stocks in August: Computing Power and Applications Dual Mainlines Lead Market, Institutions' New Layout Logic

In August 2026, with continuous breakthroughs in artificial intelligence technology and accelerated commercialization, the AI concept stock market showed distinct structural differentiation. Driven by favorable policies and industrial demand, AI concept stocks performed steadily overall, but internally presented a "hot and cold" situation. Computing power and applications dual mainlines performed prominently, becoming the focus of market capital pursuit, while traditional AI concept stocks faced valuation pressure. This article will deeply analyze the current market characteristics of AI concept stocks, analyze the latest layout logic of institutional investors, and provide valuable investment references for investors.

Overall AI Concept Stock Market: Steady Rise with Increasing Structural Differentiation

As of August 17, 2026, the AI concept index has risen by about 18% since the beginning of the year, outperforming the broader market index by about 5 percentage points. This performance demonstrates the important position of AI as a strategic emerging industry and the continuous optimism of the capital market towards the AI field. However, performance varies significantly across sub-sectors, showing a clear "stronger getting stronger" pattern.

In terms of sector performance, the AI computing power sector has been the most outstanding, with a year-to-date increase of over 25%, with sub-sectors such as AI chips and optical modules increasing by more than 30%. In contrast, although the AI application sector has an overall increase of about 15%, it internally presents a "hot and cold" situation, with high-quality AI application companies rising by over 30%, while some companies with heavy concept speculation have pulled back.

Market analysts point out that the structural differentiation of AI concept stocks reflects the deepening market understanding of the AI industry. Investors are no longer blindly chasing concepts but are paying more attention to the actual profitability and commercialization prospects of enterprises. This change marks that AI investment has entered a more rational stage.

Computing Power and Applications Dual Mainlines: Driven by Policy and Demand

1. AI Computing Power Sector: Policy Dividend Release, Industry Chain Prosperity Continues to Rise

As the infrastructure of the AI industry, the AI computing power sector has performed strongly this year under the dual drive of policy support and technological progress. In August, with the deepening advancement of the national "East Data West Computing" project and the acceleration of local AI computing center construction, the AI computing power industry chain has ushered in a new round of growth opportunities.

At the policy level, at the beginning of August, the National Development and Reform Commission and the Ministry of Industry and Information Technology jointly issued the "Guiding Opinions on Further Accelerating the Construction of Artificial Intelligence Computing Infrastructure", clearly stating that by the end of 2027, the national total computing power will increase by 50% compared to 2025, and the proportion of intelligent computing power will increase to 40%. This policy has provided clear growth expectations for the AI computing power industry, and related concept stocks have risen accordingly.

From the perspective of the industry chain, the AI computing power sector shows full-line prosperity in "chips-servers-data centers". In the AI chip field, companies such as Huawei Ascend and Cambricon have continuously increased their market share. In August, Huawei Ascend 910B chip orders increased by more than 30% month-on-month, driving the stock prices of related industry chain companies to rise. In the AI server field, leading companies such as Inspur Information and Sugon have full orders and capacity utilization rates maintained above 90%. In the optical module field, companies such as Accelink and Coherent Optoelectronics have benefited from the demand for AI data center construction, with performance growth exceeding 50%.

Notably, the AI computing power sector also shows a differentiation trend internally. Leading companies with core technology advantages and customer resources perform better than the industry average, while some companies lacking core technologies face valuation pressure. This indicates that the market is viewing the AI computing power industry more rationally and paying more attention to the long-term competitiveness and profitability of enterprises.

2. AI Application Sector: Accelerated Commercialization Landing, B-end Services Become New Mainline

Compared with the computing power sector, the performance of the AI application sector is more complex. On one hand, with the maturation of large model technology and the expansion of application scenarios, the commercialization process of AI applications has significantly accelerated; on the other hand, problems such as intensified market competition and unclear profit models have constrained the development of some AI application companies.

In August, the AI application sector showed two clear trends: first, B-end services have become the new market mainline; second, vertical industry applications have received capital favor. In the B-end service field, sub-markets such as AI office software and enterprise-level AI solutions have grown rapidly. For example, iFlytek's AI office assistant product added more than 500 new enterprise customers in August, with a paid conversion rate of 35%, driving a monthly stock price increase of over 15%. In the vertical industry application field, AI medical, AI finance, AI education and other fields have performed prominently, with related concept stocks leading in gains.

At the same time, AI consumer applications face greater challenges. In the C-end market, although AI assistants, AI content generation and other products have rapidly growing users, the profit model is still unclear, leading to valuation pressure for related companies. Market analysts point out that AI consumer application companies need to find a sustainable profit model as soon as possible, otherwise they will face the risk of valuation correction.

Institutions' New Layout Logic: From Technology-driven to Commercial Value

As the AI industry enters the commercialization landing stage, the layout logic of institutional investors has also changed significantly. According to August institutional research data, the investment logic of AI concept stocks is shifting from "technology-driven" to "commercial value", with institutions paying more attention to the actual profitability and commercialization prospects of enterprises.

First, institutions are paying more attention to the profitability of AI companies. According to August institutional research data, more than 70% of institutional investors believe that AI companies need to achieve positive cash flow by the end of 2026, otherwise they will face valuation pressure. This change has led to valuation adjustments for some unprofitable AI concept stocks, while companies with clear profit paths have been sought after.

Second, institutions value the customer structure and industry position of AI companies more. In August, the focus of institutional research has shifted from AI technology itself to the customer resources, industry position, and competitive barriers of enterprises. For example, in the AI finance field, companies with long-term cooperation with banks, insurance and other financial institutions are favored by institutions; in the AI medical field, companies that have received recognition from medical institutions and have clinical validation data have more investment value.

Finally, the valuation logic of AI companies has also changed. According to August institutional research reports, the valuation of AI companies is shifting from "mainly PS (price-to-sales ratio)" to a combination of "PE (price-to-earnings ratio) and PS", which indicates that the market is viewing the growth and profitability of AI companies more rationally.

Market Hotspots and Investment Opportunities

1. Market Hotspot: Resonance of Domestic Large Models and Computing Power

In August, the most significant hotspot in the AI concept stock market was the resonance effect of domestic large models and computing power. With the rapid growth of domestic large model adjustment volume and user numbers, the demand for AI computing power has also increased synchronously, forming a virtuous cycle of "large model-computing power".

In the domestic large model field, companies such as Zhipu AI and MiniMax performed prominently. In August, Zhipu AI announced that its large model monthly adjustment volume exceeded 1 billion times, a year-on-year increase of over 300%, driving related concept stocks to rise. MiniMax, with its advantages in the multimodal field, saw its stock price rise by over 20% in a single day, becoming the market focus.

In the computing power field, with the increase in computing power demand from domestic large models, sub-sectors such as AI chips and optical modules have shown strong performance. For example, in August, Accelink benefited from the demand for AI data center construction, with its stock price hitting the limit for several consecutive days, and its market value breaking the 100 billion yuan mark.

2. Investment Opportunities: Layout AI Concept Stocks Through Three Mainlines

Based on the current market structure and institutional layout logic of AI concept stocks, we believe investors can layout AI concept stocks through the following three mainlines:

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• AI Computing Power Mainline: Focus on leading companies in sub-sectors such as AI chips, optical modules, and AI servers that have core technology advantages and customer resources. These companies benefit from the continuous growth of AI computing power demand and have higher performance certainty.
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• AI Application Mainline: Focus on companies that have achieved commercialization and have clear profit paths, especially leading companies in the B-end service field. These companies benefit from the acceleration of AI application commercialization, and valuations are expected to rise.
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• AI+ Industry Mainline: Focus on companies with deep integration of AI technology and specific industries, such as leading companies in AI medical, AI finance, AI education and other fields. These companies benefit from the acceleration of industry digital transformation and AI technology application, with broad growth space.
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Risk Warnings and Investment Recommendations

Although AI concept stocks have performed strongly overall, investors still need to pay attention to the following risks:

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• Technology Iteration Risk: AI technology iteration is relatively fast, and some companies may face the risk of technological lag.
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• Profit Below Expectation Risk: The commercialization process of some AI companies may not meet expectations, leading to profitability below expectations.
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• Valuation Correction Risk: Some AI companies with heavy concept speculation may face valuation correction risks.
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• Policy Change Risk: AI industry policies may change, affecting the development prospects of related companies.
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Based on the above analysis, we recommend that investors adopt the following investment strategies:

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• Long-term optimistic about the investment value of the AI industry, but short-term attention to market volatility risks.
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• Focus on leading companies with core competitiveness and commercialization capabilities.
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• Diversify investments and avoid concentrating on a single AI concept stock.
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• Pay attention to changes in AI industry policies and adjust investment strategies in a timely manner.
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Conclusion: AI Concept Stocks Enter a New Stage of Value Investment

In August 2026, the AI concept stock market showed structural differentiation characteristics, with computing power and applications dual mainlines performing prominently, becoming the focus of market capital pursuit. The layout logic of institutional investors has also shifted from "technology-driven" to "commercial value", paying more attention to the actual profitability and commercialization prospects of enterprises.

Looking ahead, with continuous breakthroughs in AI technology and accelerated commercialization, AI concept stocks still have significant growth space. However, investors need to view the AI industry more rationally, pay attention to the core competitiveness and commercialization capabilities of enterprises, and avoid blindly chasing concepts. Only in this way can stable returns be obtained in the wave of AI investment.

Overall, AI concept stocks have entered a new stage of value investment. Investors need to pay more attention to fundamental analysis, focus on the long-term development prospects and profitability of enterprises, in order to succeed in AI investment.