In October 2026, with continuous breakthroughs in artificial intelligence technology and accelerated commercialization implementation, the AI concept stock market has shown unprecedented vitality. This report will conduct an in-depth analysis of the current market conditions, capital flows, and investment opportunities in AI concept stocks, helping investors grasp new opportunities in the AI era.

Overview of AI Concept Stock Market in October

Since entering October, AI concept stocks have shown strong overall performance, with the sector index rising more than 8% monthly, outperforming the broader market index. Among them, the three main themes of computing power, AI applications, and large models have been particularly prominent, becoming the focus of market attention.

In terms of capital flows, northbound funds have continuously net-purchased AI concept stocks in the past month, with cumulative net inflows exceeding 20 billion yuan. Institutional funds have also actively positioned themselves, with shares of multiple AI ETFs reaching historic highs, showing long-term optimism from institutional investors toward the AI sector.

Computing Power Sector: Continuous Release of Policy Dividends

As the infrastructure of the AI industry, the computing power sector has particularly outstanding performance in October. Against the backdrop of the continuous advancement of the national "East Data West Computing" project, computing power infrastructure construction has accelerated, and related concept stocks have entered a period of policy dividend.

Specifically, leading enterprises such as OpticTech and Sugon have performed remarkably well, with OpticTech even reaching a market capitalization of over 100 billion yuan in a limit-up trade. These companies benefit from the strong national support for computing power infrastructure and the continuous growth of demand for computing power from AI large models.

From an industrial chain perspective, the computing power sector shows a coordinated development trend of upstream and downstream. Upstream hardware equipment manufacturers such as chips and servers benefit from the explosion of AI computing power demand; midstream data centers and cloud service providers benefit from the integration and optimization of computing resources; downstream AI application companies benefit from reduced computing costs and improved efficiency.

AI Application Sector: Accelerated Commercialization Implementation

Compared with the computing power sector, the AI application sector showed a more differentiated development trend in October. On one hand, applications in traditional fields such as AI+medical, AI+finance, and AI+education continue to deepen; on the other hand, emerging application fields such as AI+content creation and AI+design are rapidly rising, becoming new market hotspots.

In terms of corporate performance, AI application companies that have achieved commercialization implementation have shown more stable performance. For example, in the medical field, AI-assisted diagnostic systems have entered multiple Grade A tertiary hospitals, improving diagnostic efficiency; in the financial field, AI risk control systems have become standard configurations for banks, effectively reducing risks.

Notably, as AI technology matures, AI applications are transitioning from single functions to comprehensive solutions. For example, some companies have begun to provide platform products integrating multiple AI functions. This kind of comprehensive solution better meets customer needs and is easier to achieve scalable commercial value.

Large Model Sector: Rise of Domestic Large Models

As a cutting-edge technology in the AI field, large models have particularly outstanding performance in October. With the continuous emergence and performance improvement of domestic large models, large model concept stocks have become the focus of market attention.

In terms of technological development, domestic large models have shifted from simple parameter competition to performance and application scenario competition. Some leading large models have already shown performance beyond foreign counterparts in specific fields, bringing competitive advantages to related companies.

In terms of commercialization progress, large models are moving from laboratories to industrial applications. For example, in fields such as intelligent customer service, content creation, and code generation, large models have begun to create actual commercial value. This transformation from technology to application has brought tangible performance support to large model concept stocks.

Analysis of Capital Flows

Since October, the capital flows of AI concept stocks have shown several obvious characteristics: first, northbound funds have continuously net-inflowed, showing foreign investors' long-term optimism toward the AI sector; second, institutional funds have actively positioned themselves, with shares of multiple AI ETFs reaching historic highs; third, hot money has been active in hot sectors, promoting continuous rotation of market hot topics.

In terms of northbound fund flows, key AI concept stocks of concern include leading enterprises such as OpticTech, iFlytek, and Hikvision. These companies not only benefit from the development of the AI industry but also have strong industry positions and competitive advantages, favored by foreign investors.

In terms of institutional fund positioning, AI ETFs have become important tools for institutional funds to allocate to the AI sector. Data shows that shares of multiple AI ETFs have continued to grow since October, showing long-term optimism from institutional investors toward the AI sector. In addition, some public funds have increased their allocation to AI concept stocks, treating them as key investment directions.

In terms of hot money trends, hot money is mainly active in hot sectors, promoting continuous rotation of market hot topics. For example, in the computing power sector, hot money has actively positioned in leading enterprises such as OpticTech; in the AI application sector, hot money focuses on concept stocks with short-term explosive potential.

Investment Opportunities and Risk Warnings

Investment Opportunities

Based on the analysis of AI concept stock performance in October, we believe the following directions are worth attention:

• Computing Power Infrastructure: Against the backdrop of the continuous advancement of the national "East Data West Computing" project, computing power infrastructure construction will accelerate, and related leading enterprises will benefit from policy dividends and demand growth.
• AI Application Implementation: AI application companies that have achieved commercialization implementation, especially leading enterprises in fields such as AI+medical and AI+finance, have strong performance support and growth space.
• Domestic Large Models: With the continuous emergence and performance improvement of domestic large models, large model companies with competitive advantages in specific fields will encounter development opportunities.
• Upstream of AI Industrial Chain: Upstream hardware equipment manufacturers such as AI chips and sensors will experience continuous growth with the popularization of AI applications.

Risk Warnings

Although AI concept stocks showed strong performance in October, investors still need to pay attention to the following risks:

• Policy Risks: The AI industry is in a stage of rapid development, and related policies may change. Investors need to closely follow policy trends.
• Technology Risks: AI technology is developing rapidly, and if a company's technology falls behind, it may face the risk of being eliminated.
• Valuation Risks: Some AI concept stocks have high valuations, and if performance does not meet expectations, they may face callback risks.
• Competition Risks: The AI field is highly competitive, and new entrants may pose threats to existing enterprises.

Conclusion and Outlook

The October AI concept stock market performance shows the characteristics of resonance between policy dividend release and commercialization implementation, with the three main themes of computing power, AI applications, and large models performing prominently. In terms of capital flows, northbound funds, institutional funds, and hot money jointly promote the continuous rotation of market hot topics.

Looking ahead, with continuous breakthroughs in artificial intelligence technology and accelerated commercialization implementation, AI concept stocks still have significant growth space. Investors can focus on directions such as computing power infrastructure, AI application implementation, domestic large models, and the upstream of the AI industrial chain, while being alert to policy risks, technology risks, valuation risks, and competition risks.

In the AI era, seizing investment opportunities in AI concept stocks can not only bring substantial investment returns but also share the industrial transformation dividends brought by AI technology. As a senior investor said: "AI is not a short-term speculation hotspot but a long-term investment mainline. Only by deeply understanding the AI industry logic can one grasp real investment opportunities in the AI era."