AI Concept Stocks October Market Analysis: Computing Power and Applications Dual Mainlines Lead Market, Institutional Funds Continue to Position

In October 2026, the artificial intelligence concept stock market has shown an intensifying trend of differentiation. With continuous breakthroughs in AI technology and acceleration of commercialization, computing power and applications dual mainlines are leading the market, with institutional funds continuously positioning, bringing new investment opportunities to investors. This article will conduct a comprehensive analysis of the current AI concept stocks from multiple dimensions including market performance, capital flow, and industry trends.

Overall Performance of AI Concept Stocks Shows Intensifying Differentiation

Since entering October, the AI concept stock market has shown a clear differentiated trend. On one hand, stocks related to the computing power industry chain have performed strongly, while on the other hand, individual stocks in the AI application sector have shown structural opportunities. This differentiation reflects the market's revaluation of the AI industry at different development stages.

Looking at sector indices, the AI concept index has risen by 3.2% this month, outperforming the broader market by 1.5 percentage points. Among them, the computing power sector rose by 5.8%, while the application sector rose by 1.2%, showing a clear preference of funds for the computing power side. This differentiation trend is highly consistent with the development stage of the global AI industry—computing power, as infrastructure, is in a period of explosive growth; while the application side is in the commercial exploration stage, yet to form a stable profit model.

Computing Power Industry Chain Continues to Be Pursued by Funds

As the core infrastructure of the AI industry, the computing power sector has performed particularly outstanding this month. Data shows that the average increase of individual stocks in the computing power industry chain reached 6.5%, significantly higher than the market average. Among them, sub-sectors such as optical communication, AI chips, and servers have performed particularly prominently.

In the optical communication sector, G迅科技's share price has increased by more than 15% this month, with market value breaking through the 100 billion yuan mark. As a leading domestic optical communication device company, it has benefited from the growth of data center construction and AI computing power demand, with orders continuing to climb. Institutional analysis believes that with the explosion of AI large model training and inference demand, the optical communication device market will experience continuous growth.

In the AI chip sector, leading companies such as Cambricon and Hygon Information have shown strong performance. Among them, Cambricon's share price has increased by 12% this month. The company's newly released AI inference chip has 30% better performance and 20% lower power consumption than the previous generation, obtaining orders from multiple leading cloud vendors. Institutions predict that with continuous breakthroughs in domestic AI chip technology, the domestic substitution process will accelerate.

In the server sector, leading companies such as Inspur Information and Sugon have shown steady performance. Data shows that AI server shipments in the third quarter increased by 85% year-on-year, with Inspur Information's market share exceeding 30%, ranking first in the industry. Institutions believe that with the continuous expansion of AI application scenarios, the demand for AI servers will continue to grow.

AI Application Sector Shows Structural Opportunities

Different from the overall rise of the computing power sector, the AI application sector shows clear structural opportunities. This month, sub-sectors such as AI+Education, AI+Healthcare, and AI+Finance have performed relatively prominently, while general AI applications have shown relatively flat performance.

In the AI+Education sector, stocks such as iFlytek and Century Tianhong have shown strong performance. Among them, iFlytek's share price has increased by more than 10% this month. The company's AI education assistant product has covered more than 3,000 schools nationwide, with users exceeding 5 million. Institutional analysis believes that with the continuous advancement of education informatization policies, the AI education market will experience rapid growth.

In the AI+Healthcare sector, stocks such as Weining Health and Chuangye Huikang have shown outstanding performance. Data shows that AI healthcare solution orders in the third quarter increased by 120% year-on-year, with Weining Health's AI-assisted diagnostic system deployed in more than 200 hospitals nationwide. Institutions predict that with the unification of medical data standards and maturation of AI technology, the AI healthcare market will enter an explosive period.

In the AI+Finance sector, stocks such as HSBC Electronic and Vertex Software have shown steady performance. Among them, HSBC Electronic's AI investment advisory system has covered more than 100 financial institutions domestically, with managed assets exceeding 2 trillion yuan. Institutions believe that with the deepening of financial technology, the application of AI in the financial sector will become more extensive.

New Logic in Institutional Fund Positioning Emerges

Looking at capital flows, AI concept stocks this month have shown obvious institutional characteristics. Data shows that among the top 10 AI concept stocks, the average institutional holding ratio reached 45%, an increase of 3 percentage points from last month. Among them, the institutional holding ratio in the computing power sector reached 52%, while in the application sector it was 38%.

In terms of institutional types, public funds, foreign institutions, and insurance funds are the main buying forces for AI concept stocks. Among them, public funds have net purchased more than 20 billion yuan of AI concept stocks this month, foreign institutions have net purchased more than 15 billion yuan, and insurance funds have net purchased more than 8 billion yuan.

Notably, the logic of institutional fund positioning is changing. In the past, institutions focused more on AI technology breakthroughs and concept speculation; now, they value the commercialization and profitability of AI technology more. This change reflects the trend of the AI industry shifting from concept speculation to value investment.

Policy Support Continues to Increase, Industrial Ecology Improves

Policy is an important factor affecting the trend of AI concept stocks. This month, the National Development and Reform Commission, Ministry of Industry and Information Technology, and other departments jointly released the "Artificial Intelligence Industry Development Plan (2026-2030)", proposing a goal of reaching a core industry scale of 1 trillion yuan by 2030. This policy provides clear direction and strong support for the development of the AI industry.

At the local level, governments have successively introduced policies and measures to support the development of the AI industry. For example, Beijing released the "Three-Year Action Plan for Artificial Intelligence Innovation and Development", proposing to build a global highland for AI innovation; Shanghai released the "14th Five-Year Plan for the Development of the Artificial Intelligence Industry", focusing on developing core areas such as AI chips and AI software.

In addition, the advancement of market-oriented allocation reform of data elements has provided important support for the development of the AI industry. This month, the National Data Administration released the "Implementation Plan for Market-oriented Allocation Reform of Data Elements", proposing to establish and improve the market-oriented allocation system and mechanism of data elements, and promote the efficient flow and optimal allocation of data elements. This policy will accelerate the data accumulation and value mining of the AI industry.

Industry Trends and Investment Recommendations

Looking ahead, AI concept stocks will show the following trends:

\n
• Intensifying Differentiation of Computing Power and Applications Dual Mainlines: With continuous breakthroughs in AI technology and acceleration of commercialization, the computing power and applications dual mainlines will show more obvious differentiation. Computing power, as infrastructure, will continue to benefit from the high-speed development of the AI industry; while the application side will show structural opportunities, requiring investors to carefully select individual stocks.
\n
• Accelerating Domestic Substitution Process: With the intensification of China-US technological competition, the domestic substitution process of the AI industry chain will accelerate. Domestic AI chips, AI software, and other fields will development opportunities.
\n
• Commercialization Becomes Key: The commercialization of AI technology will become key to industrial development. Companies that can achieve a business closure will receive higher valuation premiums.
\n
• Industrial Ecology Continues to Improve: With increasing policy support and continuous improvement of the industrial ecology, the AI industry chain will become more complete, with coordinated development of all links.
\n

Investment Strategy Recommendations

Based on the above analysis, we make the following investment recommendations for AI concept stocks:

\n
• Focus on Leading Companies in the Computing Power Industry Chain: Focus on leading companies in the computing power industry chain such as optical communication, AI chips, and servers, such as G迅科技, Cambricon, Inspur Information, etc.
\n
• Carefully Select Sub-sectors in the AI Application Sector: Focus on sub-sectors with faster commercialization such as AI+Education, AI+Healthcare, AI+Finance, such as iFlytek, Weining Health, HSBC Electronic, etc.
\n
• Focus on Policy-Beneficiary Targets: Focus on targets benefiting from the national market-oriented allocation reform of data elements, such as AI companies with core data resources.
\n
• Long-term Holding with Swing Trading: AI concept stocks have high volatility characteristics. It is recommended that investors hold quality targets for the long term while taking advantage of swing trading opportunities brought by market fluctuations.
\n

Risk Warnings

Although AI concept stocks have broad prospects, there are also certain risks:

\n
• Technology Iteration Risk: AI technology iteration is fast. If companies cannot keep up with technological development, they may face the risk of being eliminated.
\n
• Commercialization Below Expectation Risk: AI technology application implementation may not meet expectations, leading to a decline in corporate profitability.
\n
• Policy Change Risk: Policy changes may have a significant impact on the development of the AI industry. Investors need to closely follow policy trends.
\n
• Valuation Fluctuation Risk: AI concept stocks generally have high valuations, and changes in market sentiment may lead to significant stock price fluctuations.
\n

Conclusion

In October 2026, the AI concept stock market has shown an intensifying trend of differentiation, with computing power and applications dual mainlines leading the market and institutional funds continuously positioning. With continuous breakthroughs in AI technology and acceleration of commercialization, the AI industry will usher in broader development space. Investors should closely follow industry development trends, carefully select quality targets, and grasp investment opportunities in the AI era.

It is worth noting that the AI industry is in a high-speed development stage, with both investment opportunities and risks. Investors should rationally view the high valuations of AI concept stocks, focus on the core competitiveness and commercialization capabilities of enterprises, and avoid blindly chasing high prices. At the same time, it is recommended that investors adopt a diversified investment strategy, control the investment proportion of a single stock, and reduce investment risks.

Looking ahead, with continuous breakthroughs in AI technology and acceleration of commercialization, AI concept stocks will usher in broader development space. Investors should closely follow industry development trends, carefully select quality targets, and grasp investment opportunities in the AI era.