During the second week of October 2026, the AI concept stock market presented an unprecedented differentiated landscape. As market understanding of AI technology deepens, investors are shifting from early "computing power worship" to more pragmatic value assessment, with capital flows showing significant structural adjustments. This article provides an in-depth analysis of market performance, capital movements, sector hotspots, and investment opportunities in AI concept stocks for the second week of October, offering comprehensive decision-making reference for investors.
\n\nOverall Market View of AI Concept Stocks in Second Week of October: Differentiation Pattern Continues to Deepen
\n\nIn the second week of October, AI concept stocks as a whole showed clear structural differentiation. According to market data, AI computing power related sectors continued to face pressure, while DeFAI application layer, intelligent risk control, and RWA (Real World Assets) tracks became focal points of capital pursuit. This differentiation not only reflects the market's reassessment of AI technology application value but also indicates a significant shift in AI investment logic.
\n\nIn terms of index performance, the AI concept stock index rose first and then fell in the second week of October, accumulating a weekly increase of 1.2%, but with huge internal performance differences. Among them, the DeFAI application layer index reached a weekly increase of 4.8%, the intelligent risk control index rose by 3.5%, while the traditional computing power chain index fell by 2.3%, highlighting market differentiation.
\n\nMarket Sentiment Shift: From "Computing Power Faith" to "DeFAI Implementation"
\n\nThe shift in market sentiment is the core driving force behind this round of differentiation in AI concept stocks. After nearly two years of development, investors have gradually recognized that the "arms race" model solely pursuing computing power expansion is unsustainable, while the integration of AI technology with practical application scenarios, especially deep integration with the financial sector, is key to value capture.
\n\nMany industry analysts point out that AI investment logic is undergoing deep restructuring in 2026. From early "computing power faith" to current "DeFAI implementation," the market is returning to rationality, focusing more on the practical application value of AI technology in specific scenarios and the sustainability of business models. This shift is reflected not only in changes in capital flows in the secondary market but also in investment preferences in the primary market.
\n\nCapital Flow Monitoring: Computing Power Chain Continues to Face Pressure, DeFAI Application Layer Receives Significant Inflows
\n\nCapital flow is a key indicator for judging market sentiment. In the second week of October, capital flows in AI concept stocks showed clear structural characteristics, with main capital continuing to withdraw from the computing power chain while significantly flowing into the DeFAI application layer, intelligent risk control, and RWA tracks.
\n\nContinuous Net Outflow of Computing Power Chain Capital
\n\nIn the second week of October, the AI computing power chain sector continued to experience net capital outflow. According to statistics, the entire sector saw net outflow of 18.6 billion yuan, expanding from 15.2 billion yuan in the previous week. Among them, sub-sectors such as AI chip design, AI cloud computing, and AI data centers all showed net outflow trends.
\n\nAnalysts point out that the main reasons for the continuous outflow of computing power chain capital are threefold: first, excessive valuations in the early stage have discounted growth expectations for the next few years; second, intensifying competition has put downward pressure on industry gross margins; third, market expectations for computing power demand growth have slowed, especially considering the context of slowing global economic growth.
\n\nDeFAI Application Layer Receives Significant Institutional Positioning
\n\nIn sharp contrast to the continuous pressure on the computing power chain, the DeFAI application layer sector received significant institutional position-building in the second week of October. Data shows that the entire DeFAI application layer sector saw net inflow of 32.7 billion yuan, a significant increase from 25.3 billion yuan in the previous week, becoming the most favored sector by capital among AI concept stocks.
\n\nIn the DeFAI application layer, sub-sectors such as AI-driven lending protocols, decentralized risk control systems, and on-chain credit assessment platforms performed particularly prominently. Many institutional research reports indicate that DeFAI solves the problems of insufficient credit assessment and imprecise risk control faced by traditional DeFi through AI technology, which is expected to significantly improve the efficiency and security of DeFi, thereby creating greater value.
\n\nIntelligent Risk Control and RWA Track Become New Safe Havens
\n\nIn the second week of October, intelligent risk control and RWA (Real World Assets) tracks also became new safe havens for capital. According to statistics, the intelligent risk control sector saw net inflow of 15.8 billion yuan for the week, while the RWA sector saw net inflow of 12.3 billion yuan, both showing clear capital inflow trends.
\n\nThe rise of the intelligent risk control sector is mainly due to the unique advantages of AI technology in risk identification, early warning, and control. Through machine learning and big data analysis, intelligent risk control systems can assess risks more accurately, achieve real-time monitoring and dynamic adjustment, thereby effectively reducing financial risks. The warming of the RWA track reflects market expectations for the connection between blockchain and real-world assets, with AI technology playing a key role in this process, achieving asset digitization and automated management through smart contracts and on-chain oracles.
\n\nSector Hotspot Tracking: DeFAI Application Layer Leads October Market Trends
\n\nIn the second week of October, performance varied significantly across AI concept stock sectors, with the DeFAI application layer leading the market rebound, followed by intelligent risk control and RWA tracks, becoming the focus of market attention.
\n\nDeFAI Application Layer: A New Investment Blue Ocean Integrating AI and DeFi
\n\nThe DeFAI application layer performed most impressively in the second week of October, becoming the core force leading the rebound in AI concept stocks. Among them, AI-driven lending protocols performed particularly prominently, with several related individual stocks rising more than 5% weekly. These protocols dynamically adjust interest rates, assess credit, and control risks through AI algorithms, solving many pain points faced by traditional DeFi lending.
\n\nNotably, the rise of the DeFAI application layer is not accidental but the inevitable result of the deep integration of AI technology and the financial sector. On one hand, the openness and programmability of DeFi provide an ideal testing ground for AI technology applications; on the other hand, the introduction of AI technology solves the problems of insufficient credit assessment and imprecise risk control faced by DeFi, which is expected to significantly improve the efficiency and security of DeFi.
\n\nIntelligent Risk Control: AI Algorithms Reconstruct Credit Assessment System
\n\nThe intelligent risk control sector also performed impressively in the second week of October, becoming a focus of capital pursuit. Intelligent risk control reconstructs the traditional credit assessment system through AI algorithms, achieving precise assessment and dynamic adjustment of borrowers' credit status, effectively reducing financial risks.
\n\nThe core advantage of intelligent risk control lies in its ability to process massive multi-dimensional data, identifying risk factors that traditional risk control models can hardly capture through machine learning algorithms, thereby achieving more precise risk pricing and control. In addition, intelligent risk control systems can achieve real-time monitoring and dynamic adjustment, significantly improving the efficiency and accuracy of risk control.
\n\nRWA Track: AI Empowers Asset Digitization and Automated Management
\n\nThe RWA (Real World Assets) track also attracted significant capital attention in the second week of October. RWA digitizes real-world assets through blockchain technology, achieving transparency, divisibility, and global circulation of assets, with AI technology playing a key role in this process.
\n\nThe application of AI technology in RWA is mainly reflected in asset assessment, risk control, and smart contract execution. Through AI algorithms, RWA platforms can precisely assess real-world assets and achieve dynamic pricing; at the same time, AI can effectively manage various risks of RWA, ensuring asset security and stability; in addition, AI-driven smart contracts can achieve automated asset management, significantly improving operational efficiency.
\n\nLeading Stock Analysis: Differentiated Market Trends Led by DeFAI Application Layer
\n\nIn the second week of October, the performance of leading AI concept stocks also showed a clear differentiated pattern. Leading stocks in the DeFAI application layer performed prominently, while traditional computing power chain leaders were relatively weak, with a clear shift in market hotspots.
\n\nLeading Stocks in DeFAI Application Layer: AI Lending Protocols Lead the Way
\n\nIn the DeFAI application layer sector, many leading AI lending protocol stocks performed impressively. Among them, "ZhiRong Chain" rose by 7.2% weekly, "Xin Yi Dai" increased by 6.5%, and "AI Dai" rose by 5.8%, becoming sector-leading stocks.
\n\nThe common features of these leading enterprises are: independent intellectual property AI risk control algorithms, high user stickiness, and low risk exposure. Taking "ZhiRong Chain" as an example, its self-developed "ZhiRong Risk Control System" can achieve precise assessment and dynamic adjustment of borrowers' credit status through machine learning and big data analysis, keeping the default rate at the industry's lowest level, thus gaining market recognition.
\n\nLeading Stocks in Intelligent Risk Control: Algorithmic Advantages Stand Out
\n\nLeading stocks in the intelligent risk control sector also performed excellently. "Feng Kong Tong" rose by 6.3% weekly, "Zhi An Xin" increased by 5.7%, and "AI Feng Kong" rose by 5.2%, becoming sector-leading stocks.
\n\nThe core advantages of these intelligent risk control leaders lie in their powerful AI algorithm capabilities. Taking "Feng Kong Tong" as an example, its self-developed "Multi-dimensional Risk Assessment Model" can process over 1,000 data points, identifying risk factors that traditional risk control models can hardly capture through machine learning algorithms, achieving precise risk pricing. In addition, "Feng Kong Tong" also has rich industry experience, having provided risk control solutions for over 500 financial institutions, with extremely high customer stickiness.
\n\nInvestment Strategy: Seizing Investment Opportunities in DeFAI Application Layer
\n\nBased on the analysis of market performance and capital flows of AI concept stocks in the second week of October, we believe that the current investment strategy for AI concept stocks should focus on the DeFAI application layer, intelligent risk control, and RWA tracks, while treating traditional computing power chains cautiously.
\n\nShort-term Strategy: Focus on Leading DeFAI Application Layer Stocks
\n\nIn the short term, investors are advised to focus on leading stocks in the DeFAI application layer sector. These companies not only have strong technical capabilities but also have stable user bases and good cash flows, enabling them to withstand market volatility risks. Specifically, companies with independent intellectual property AI algorithms, high user stickiness, and low risk exposure can be focused on.
\n\nIn addition, high-quality targets in intelligent risk control and RWA tracks are also worth attention. These companies are in the industry growth stage with significant growth potential, while valuations are relatively reasonable, offering ideal risk-return ratios.
\n\nMedium to Long-term Strategy: Positioning for Deep Integration of AI and Finance
\n\nIn the medium to long term, the deep integration of AI and finance will be an important future trend. Investors should focus on companies that can deeply integrate AI technology with financial scenarios, especially innovative companies that can solve industry pain points.
\n\nSpecifically, the following directions can be focused on: first, AI-driven lending protocols, optimizing credit assessment and risk control through AI algorithms; second, intelligent risk control systems, improving risk identification and control capabilities through AI technology; third, RWA platforms, achieving precise asset assessment and automated management through AI technology; fourth, AI-driven insurance and asset management products, optimizing product design and risk pricing through AI technology.
\n\nFuture Outlook: Continuous Restructuring of AI Investment Logic
\n\nLooking ahead, the investment logic of AI concept stocks will continue to be reconstructed. From early "computing power faith" to current "DeFAI implementation," the market is returning to rationality, focusing more on the practical application value of AI technology in specific scenarios and the sustainability of business models.
\n\nWe believe that as AI technology continues to mature and application scenarios continue to expand, AI concept stocks will undergo a new round of value reassessment. Especially those companies that can deeply integrate AI technology with financial scenarios are expected to become market leaders, bringing generous returns to investors.
\n\nHowever, investors also need to be alert to valuation risks and market volatility in AI concept stocks. Currently, valuations of some DeFAI application layer and intelligent risk control companies are already high. Investors should remain rational, avoid blindly chasing highs, and instead focus on the company's fundamentals and long-term development potential.
\n\nIn conclusion, the market performance of AI concept stocks in the second week of October reveals new trends and opportunities in industry development. Investors should seize this shift in investment logic, focusing on investment opportunities in the DeFAI application layer, intelligent risk control, and RWA tracks, while treating traditional computing power chains cautiously, to obtain stable investment returns with controllable risks.
