Shifts in AI Concept Stock Capital Landscape During the Third Week of October: A Rational Migration from Computing Power to Applications
As the third week of October trading concluded, the market landscape for AI concept stocks showed clear divergence. According to the latest monitoring data, while AI concept stocks experienced overall volatility this month, internal capital flows presented a distinct "two extremes" pattern. The computing power chain continued to face pressure, with major funds continuously flowing out; in contrast, the DeFAI application layer and intelligent risk control sectors became safe havens, attracting significant institutional investment. This change not only reflects a restructuring of the investment logic for AI concept stocks but also signals that the DeFAI sector, which integrates AI and finance, is undergoing a true revaluation.Computing Power Chain Under Pressure, Signs of Capital Withdrawal Are Evident
During the third week of October, the AI computing power chain continued to show a net capital outflow trend. Monitoring data indicated that concept stocks related to computing power accumulated a net outflow exceeding 3.5 billion yuan over the past five trading days, with the rate of outflow accelerating compared to the previous week. The hardware industry chain, represented by GPU chips, AI servers, and data centers, was the main area of capital withdrawal. Analysts pointed out that the sustained pressure on the computing power chain stems from three factors: first, the construction of global AI computing power infrastructure has entered a stage of saturation, leading to a slowdown in market demand growth; second, capacity expansion by major manufacturers has led to a short-term oversupply and intensified price competition; and third, previous overvaluation, lacking performance support, has increased valuation correction pressure. "AI computing power investment has shifted from 'faith-driven' to 'performance-driven.' The market's requirements for the profitability and cash flow of computing power companies have significantly increased," stated a TMT industry analyst from a leading brokerage firm. "This puts considerable valuation pressure on computing power companies that lack clear business models and sustained profitability."DeFAI Application Layer Attracts Capital Against the Trend, With Major Institutional Investment
In sharp contrast to the computing power chain, the DeFAI (Decentralized AI Finance) application layer sector performed strongly in the third week of October, becoming a capital safe haven. Monitoring data showed that DeFAI-related concept stocks accumulated a net inflow exceeding 2.8 billion yuan over the past five trading days, with AI lending, intelligent risk control, and Real World Assets (RWA) sectors being the main areas of capital inflow. Specifically, AI lending concept stocks showed remarkable performance, with several leading companies reaching recent highs. The stock price of a well-known AI lending platform increased by over 15% this week, with trading volume nearly tripling compared to the previous week. Intelligent risk control concept stocks also performed robustly, with several AI-driven risk assessment and anti-fraud companies gaining favor from institutions. "The large-scale migration of capital from the computing power chain to the DeFAI application layer is essentially a restructuring of the market's AI investment logic," stated a quantitative fund manager. "Over the past year, the market overfocused on the 'computing power arms race' of AI while neglecting the actual application value of AI in the financial sector. As AI technology matures, the market is beginning to focus more on how AI solves real problems and creates real value."Intelligent Risk Control Becomes a New Valuation Anchor, With Long-Term Institutional Optimism
Within the DeFAI application layer, the intelligent risk control sector emerged as the most favored sub-sector by institutions. During the third week of October, intelligent risk control concept stocks performed strongly, with several companies receiving institutional research and increased holdings. Smart risk control has become a safe haven for capital mainly due to its unique investment value: first, AI-driven risk control systems significantly improve the accuracy and efficiency of risk assessment, reducing bad debt risk for financial institutions; second, as crypto assets merge with traditional finance, traditional risk control models struggle to adapt to new financial models, making AI risk control an inevitable choice; third, smart risk control has a clear business model and stable cash flow, which can support continuous R&D investment. A head of technology at a major bank stated, "AI risk control is becoming a core competency for financial institutions. With the acceleration of financial innovation, traditional risk control methods are no longer sufficient to cope with increasingly complex financial risks. AI risk control not only improves the accuracy of risk identification but also enables real-time risk monitoring and early warning, which is revolutionary for the risk management of financial institutions." RWA Sector Sees Revaluation, On-Chain Finance Gains New Opportunities The tokenization of Real World Assets (RWA) was another major hot spot in the AI concept stock market during the third week of this month. As the regulatory environment gradually clarifies and technology continuously matures, more and more real-world assets are being digitized and tokenized through blockchain technology, with AI playing a key role in asset valuation, risk pricing, and yield optimization. Monitoring data shows that RWA-related concept stocks accumulated over 1.5 billion RMB in net inflow over the past five trading days, and several AI-driven RWA platforms have attracted significant institutional investment. These platforms use AI technology to accurately assess and price traditional assets, greatly improving asset liquidity while reducing transaction costs. A founder of an RWA platform stated, "The tokenization of RWA is reshaping the asset pricing and trading models of traditional finance. The application of AI technology makes the standardization of non-standardized assets possible, which not only improves market efficiency but also provides ordinary investors with opportunities to participate in high-quality traditional asset investments—this is a trillion-level market." Market Sentiment Shifts to Rationality, Long-Term Investment Value Emerges In the third week of October, the market sentiment for AI concept stocks also showed a clear change. Moving from the initial frenzy for computing power to a rational focus on the DeFAI application layer, market sentiment is gradually returning to rationality. Investors are beginning to pay more attention to the actual application scenarios and business value of AI technology, rather than mere concept hype. A partner at a well-known AI investment fund stated, "AI investment is shifting from 'concept-driven' to 'value-driven.' As AI technology continues to mature and its application scenarios expand, the market is starting to focus more on how AI creates real value rather than just technological innovation. This shift is beneficial for the long-term healthy development of the AI industry." Monitoring data shows that the turnover rate of AI concept stocks decreased by nearly 20% compared to the previous week in the third week of October, indicating lower market volatility, which suggests that investors are extending their holding periods and are more inclined toward long-term holding rather than short-term speculation. Investment Strategy Recommendation: Focus on the Long-Term Value of AI and Finance Integration Based on the capital flows and market performance of AI concept stocks in the third week of October, we believe investors should focus on the following investment opportunities:- AI Lending Sector: As crypto assets merge with traditional finance, AI-driven lending platforms will become a vital bridge connecting the two worlds, holding long-term investment value.
- Intelligent Risk Control Track: AI risk control is becoming a core competency for financial institutions, and related companies are set for a period of explosive performance.
- RWA On-Chain Platforms: The tokenization of Real-World Assets will reshape traditional finance's asset pricing and trading models, possessing enormous market potential.
- AI-Driven Yield Optimization Tools: As investors raise their yield expectations, AI-driven yield optimization tools will gain increasing favor.
At the same time, investors should be wary of the following risks:
- Computing Power Chain Valuation Correction Risk: The computing power chain sector still faces valuation correction pressure; investors should treat companies lacking a clear business model with caution.
- Regulatory Policy Change Risk: As AI and crypto finance rapidly develop, regulatory policies may change, requiring investors to closely monitor policy trends.
- Technological Iteration Risk: AI technology evolves rapidly; related companies must continuously invest in R&D to maintain a competitive edge. Investors should pay attention to companies' R&D investment and innovation capabilities.
Overall, the changes in capital flows for AI concept stocks in the third week of October reflect a restructuring of market investment logic. This shift, from computing power to applications, and from concepts to value, benefits the long-term healthy development of the AI industry. For investors, focusing on the long-term value of AI and finance integration and seizing investment opportunities in the DeFAI application layer will be key to AI investment in the next phase.
