Deep Analysis of AI Concept Stocks Market Sentiment in October: The Rational Migration from "Computing Power Faith" to "DeFAI Implementation"
\n\nAt the beginning of October 2026, the market sentiment for AI concept stocks showed clear signs of differentiation. As the third quarter earnings season approaches, investors' evaluation logic for AI concept stocks is undergoing a profound restructuring. From the past "computing power faith" to today's "DeFAI implementation," the rational migration of market sentiment not only reflects the阶段性 changes in industry development but also points to new value anchors for investors. This article will deeply analyze the evolution trajectory of AI concept stocks market sentiment in October and interpret the deep logic behind capital flows.
\n\nComputing Power Chain Sector: Emotional Cooling from Enthusiasm to Rationality
\n\nLooking back at the market performance at the end of September, the computing power chain sector continued to face pressure, with a clear trend of main capital continuing to withdraw. This phenomenon reflects an important shift in market sentiment from enthusiasm to rationality. Over the past year, AI computing power concept stocks have always been market favorites, with valuations once reaching high levels. However, as the market gains a rational understanding of the return cycle of computing power investments and concerns about computing power overcapacity intensify, investor sentiment has begun to cool.
\n\nAccording to market monitoring data, the computing power chain sector fell by 8.3% overall in September, significantly underperforming the broader market. Among them, the stock price correction of several leading computing equipment manufacturers exceeded 15%, reflecting that market expectations for the computing power industry chain are being reconstructed. Analysts point out that the adjustment in the computing power sector is not due to the deterioration of industry fundamentals, but rather a rational return of market sentiment from concept speculation to value investment.
\n\nThe peak of the "computing power arms race" has passed, and the market is beginning to focus more on practical application scenarios and return on investment for computing power. A senior investment analyst said: "Investors are gradually realizing that simply expanding computing power does not automatically translate into commercial value. The real value lies in whether computing power can effectively support the implementation and commercialization of AI applications."
\n\nDeFAI Application Layer: The New Favorite for Institutional Capital Allocation
\n\nIn stark contrast to the computing power chain, the DeFAI application layer welcomed institutional capital's counter-trend increase in position in October. Market data shows that from the end of September to early October, DeFAI concept stocks rose by 6.7% overall, far exceeding the average level of AI concept stocks. Among them,细分 tracks such as AI lending and intelligent risk control performed particularly prominently, becoming the focus of market capital attention.
\n\nDeFAI (Decentralized Finance Artificial Intelligence), as a fusion product of AI and DeFi, is gradually becoming a value洼地 in the eyes of institutional investors. Compared with traditional AI applications, the DeFAI application layer has clear business models and quantifiable revenue sources, making it more attractive in the current market environment.
\n\n"The DeFAI application layer represents a key step for AI technology moving from the laboratory to practical application," said an investment director at a top quantitative fund. "We see that AI applications in areas such as lending pricing, risk assessment, and automated trading are creating real value, providing investors with more certain investment opportunities."
\n\nThe large-scale allocation of institutional capital is not only reflected in the secondary market but also shows high enthusiasm in the primary market. According to incomplete statistics, in the third quarter of 2026, financing in the DeFAI track increased by more than 40% compared to the second quarter, with several startups focusing on AI-driven DeFi receiving large-scale financing.
\n\nIntelligent Risk Control and RWA Track: Value Reassessment Under Risk-Averse Sentiment
\n\nAgainst the backdrop of increasing market volatility, the intelligent risk control and RWA (Real World Assets) track have become new favorites for risk-averse institutional capital. Since October, the performance of these two细分 sectors has been significantly better than the market average, reflecting investors' high emphasis on risk control.
\n\nAs an important application of AI technology in the financial sector, intelligent risk control can more accurately assess risks and predict defaults through machine learning and big data analysis, providing financial institutions with more effective risk management tools. In the current environment of increasing economic uncertainty, the value of intelligent risk control technology is becoming increasingly prominent.
\n\nAt the same time, the RWA track has also gained favor from institutional capital. RWA digitizes and tokenizes real-world assets (such as real estate, bonds, art, etc.) through blockchain technology, providing new liquidity solutions for traditional assets. The application of AI technology in RWA valuation, risk pricing, and other aspects is bringing revolutionary changes to this track.
\n\n"Under the background of rising market risk-averse sentiment, the investment value of intelligent risk control and RWA tracks is significantly underestimated," said an analyst at a well-known investment bank. "These areas not only have defensive attributes but also benefit from the efficiency improvements and cost reductions brought by AI technology empowerment, making their long-term investment value worth looking forward to."
\n\nInvestor Behavior Analysis: The Impact of Market Sentiment Shift on Investment Decisions
\n\nThe shift in market sentiment directly affects investor behavior patterns. A survey at the end of September showed that over 60% of institutional investors have adjusted their investment strategies for AI concept stocks, shifting from simply chasing computing power concepts to paying more attention to the actual implementation and commercialization capabilities of AI applications.
\n\nSpecifically, investors' behavior shows the following characteristics:
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- More emphasis on practical application scenarios and commercial value of AI technology, rather than pure concept speculation \n
- Preference for AI application companies with clear profit models and cash flow support \n
- More sensitive to valuations, tending to choose high-quality targets with reasonable valuations \n
- Increased attention to the progress of AI implementation and commercialization capabilities \n
- More balanced allocation, no longer overly concentrated in a single细分 track \n
"Changes in investor behavior reflect a more mature market understanding of AI concepts," said a person in charge of a market research institution. "The shift from chasing 'computing power faith' to embracing 'DeFAI implementation' marks that AI investment is entering a more rational development stage."
\n\nIndustry Expert Views: Predictions for the Future Trend of AI Concept Stocks
\n\nRegarding the market trend of AI concept stocks in October, many industry experts have expressed their views. Overall, experts generally believe that the structural market trend of AI concept stocks will continue, but the investment logic will undergo significant changes.
\n\nA founder of a well-known AI investment fund said: "AI concept stocks have entered the 'value reconstruction driven by application implementation' stage. In the future, companies that can effectively transform AI technology into commercial applications will gain market favor, while companies that rely purely on concept speculation will face valuation pressure."
\n\nAnother analyst specializing in the field of financial technology pointed out: "The DeFAI track will become one of the main battlefields for AI investment. The accelerated implementation of AI technology in financial scenarios such as lending, payments, and asset management will drive the continued strengthening of related concept stocks."
\n\nAt the same time, experts also remind investors to pay attention to risks. Rapid changes in market sentiment may lead to increased short-term volatility, and investors need to remain rational and avoid blindly chasing gains or selling at a loss. In addition, the actual application effect of AI technology still needs time to verify, and investors should pay attention to changes in company fundamentals.
\n\nConclusion: The Formation of a New Investment Logic for AI Concept Stocks
\n\nThe evolution of market sentiment for AI concept stocks in October marks a significant shift in AI investment logic. From the past "computing power faith" to today's "DeFAI implementation," investors' understanding of AI concept stocks has become more mature, and evaluation criteria have also become more diversified.
\n\nIn the future, investment in AI concept stocks will focus more on the following points:
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- Technology implementation capability: Whether AI technology can effectively solve practical problems and create commercial value \n
- Commercialization progress: The conversion efficiency from R&D to market, as well as revenue growth \n
- Profitability: The company's profit model and sustainability, as well as cash flow status \n
- Valuation rationality: While considering growth potential, also pay attention to valuation levels \n
- Risk control: While pursuing returns, also emphasize risk management \n
With the continuous development of AI technology and the expansion of application scenarios, AI concept stocks will remain a focus of market attention. However, investors need to recognize that AI investment has entered a new stage of "value discovery." Only those companies that can truly transform AI technology into actual commercial value can stand out in the fierce market competition and create long-term returns for investors.
\n\nIn the October market environment, investors should remain rational, pay attention to changes in the fundamentals of AI concept stocks, grasp investment opportunities brought by market sentiment shifts, while being alert to short-term volatility risks. With the acceleration of AI implementation, those AI companies with core technologies and commercialization capabilities are expected to continue to lead in future market performance.
