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

In August 2026, the AI concept stock market showed a clear differentiated trend, with computing power and applications as the two mainlines leading market performance, and leading stocks performing prominently. As AI technology continues to mature and commercialization accelerates, the investment logic of the AI industry is undergoing profound changes, shifting from concept speculation to value investment. This article will conduct an in-depth analysis of the current market performance, investment value, and future trends of AI leading stocks, providing investors with comprehensive market interpretation.

Current Differentiation Status of AI Leading Stocks: Performance Differences Between Computing Power and Application Sectors

Entering August, the AI concept stock market has shown significant structural differentiation. According to the latest market data, AI computing power sector leading stocks achieved an average increase of 15.3%, while AI application sector leading stocks had an average increase of 8.7%, showing a clear performance gap. This differentiation mainly stems from differences in industry fundamentals and different market expectations for the commercialization process of AI.

In the computing power sector, domestic computing power concept stocks represented by Huawei Ascend产业链 have shown particularly outstanding performance. Leading companies such as Accelink and Coherentix have successively hit the daily limit, driving the entire computing power industry chain to strengthen. These companies benefit from the dual advantages of national policy support and accelerated domestic substitution, with relatively high certainty of performance growth.

In contrast, although the overall performance of the AI application sector is not as strong as the computing power sector, some leading stocks in细分领域 have performed well. Especially in the commercialization of large models, concept stocks such as Zhipu AI and MiniMax have shown strength against the market, reflecting market optimism about the commercialization prospects of AI applications.

Analysis of Computing Power Mainline: Policy Support and Industrial Upgrade Drive

The AI computing power sector has become the market mainline in August, mainly driven by three factors: increased policy support, urgent industrial upgrade needs, and accelerated technological breakthroughs.

At the policy level, the National Development and Reform Commission recently issued the "Opinions on Accelerating the Construction of a National Integrated Computing Power Network Hub Node", clearly proposing to build a national integrated computing power network system by 2028, with a core scale targeting 800 billion. This policy provides long-term development guarantee for the AI computing power industry and brings substantial orders to related leading enterprises.

At the industrial level, as the parameter scale of large models continues to expand, the demand for computing power is growing exponentially. According to industry data, China's AI computing power market size grew by 45% year-on-year in the first half of 2026, with intelligent manufacturing becoming a new growth engine. This industrial upgrade trend has directly accelerated the construction of computing power infrastructure.

At the technical level, domestic AI inference chips have made significant breakthroughs. Moore Threads' newly released T20 chip has 3 times better performance than the previous generation while reducing power consumption by 40%, significantly reducing the landing cost of large models. This technical breakthrough not only enhances the competitiveness of domestic computing power companies but also brings new development opportunities for the entire AI industry chain.

Analysis of Application Mainline: Commercialization Landing and Performance Growth

Although the overall performance of the AI application sector is not as strong as the computing power sector, the commercialization process is accelerating, and some leading stocks in细分领域 have begun to deliver performance.

In the large model application field, Zhipu AI recently announced the acceleration of its large model commercialization process, with the number of enterprise-level customers exceeding 500 and a paid conversion rate of 35%, leading the industry. This performance performance has directly driven the rise of related concept stocks, with Zhipu AI's valuation breaking through the 100 billion mark, becoming a new benchmark in the AI application field.

In the AI pharmaceutical field, NVIDIA has reached strategic cooperation with many Chinese pharmaceutical companies to accelerate the AI-assisted new drug development process. This cooperation not only enhances the application value of AI technology in the medical field but also brings performance growth expectations for related concept stocks.

Notably, new business models are emerging in the AI application field. AI digital person live streaming e-commerce, AI short video batch generation tools and other innovative applications are rising rapidly, creating new business opportunities for individuals and enterprises. Although these emerging applications have not yet formed scale effects, they represent important directions for AI technology commercialization.

Latest Institutional Adjustment Trends: From Concept Speculation to Value Investment

As the AI industry gradually matures, the investment logic of institutional investors is undergoing significant changes, shifting from early concept speculation to more emphasis on fundamentals and value investment.

Data from public fund adjustments shows that in the second quarter of 2026, the AI concept stock holding structure has changed significantly. The proportion of computing power sector holdings increased from 35% to 42%, while the proportion of application sector holdings decreased from 45% to 38%. This adjustment reflects that institutional investors are more optimistic about the long-term investment value of computing power infrastructure.

Foreign institutions have also voiced their views, optimistic about the long-term development of the AI industry. Goldman Sachs' latest report points out that the inflection point of AI capital expenditure has emerged, with global AI enterprise capital expenditure expected to grow by 30% year-on-year in the second half of 2026. Morgan Stanley believes that AI is still the most certain investment mainline in the second half of the year, suggesting that investors focus on leading enterprises with core technical advantages and commercialization capabilities.

In terms of private equity funds, top institutions are laying out细分赛道 of the AI industry chain. Some private equity funds focusing on AI applications have begun to pay attention to B-end software service providers, believing that these companies are expected to achieve commercial profitability first, becoming a new mainline for AI investment.

Future Investment Strategy: Grasping Structural Opportunities

Based on the latest situation of AI industry development, investors can adopt the following strategies to grasp the structural opportunities of AI concept stocks:

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• Focus on Policy Beneficiaries: Focus on leading enterprises that benefit from national AI industry policy support, especially companies with core competitiveness in computing power infrastructure, domestic chips and other fields.
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• Grasp the Commercialization Process: Focus on AI application enterprises that have achieved commercialization landing and have relatively high certainty of performance growth, such as large model service providers, AI pharmaceutical companies, etc.
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• Layout Emerging细分赛道: Focus on leading enterprises in emerging细分领域 such as AI digital humans, AI intelligent body custom development, etc., as these fields may孕育 new investment opportunities.
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• Diversify Investments to Reduce Risks
: AI concept stocks are highly volatile, and it is recommended that investors diversify their investments to reduce single stock risks.\n

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Conclusion: Long-term Value and Short-term Fluctuations of the AI Industry

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Overall, the AI concept stock market in August 2026 showed a clear differentiated trend, with computing power and applications dual mainlines leading market performance. As AI technology continues to mature and commercialization accelerates, the investment logic of the AI industry is shifting from concept speculation to value investment.

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For long-term investors, the AI industry is still in a rapid development stage, with huge growth space and investment value. In the short term, AI concept stocks may fluctuate due to market sentiment, capital flow and other factors, but enterprises with core competitiveness and commercialization capabilities are expected to continue to receive market recognition.

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In the future, with continuous breakthroughs in AI technology and continuous innovation in business models, the AI industry will usher in a broader development space. Investors need to closely follow the development trend of AI technology, policy orientation and commercialization process, grasp the long-term investment value of the AI industry while reasonably responding to short-term market fluctuations.

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Against the background of AI investment entering the "deep water zone", investors need to view the investment opportunities of AI concept stocks more rationally, not only seeing the long-term development prospects of the AI industry but also being alert to short-term speculation risks, and choosing leading enterprises with real core competitiveness and commercialization capabilities for investment.