AI Concept Stocks Early September Fund Flow Monitoring: Main Funds Withdraw from Computing Power Chain, DeFAI Application Layer Receives Institutional Counter-Cyclical Buying

AI Concept Stocks Early September Market Panorama: Fund Flow Reveals Investment Logic Reconstruction

As the market enters a new trading cycle in September 2026, AI concept stocks show significant divergence. According to the latest market monitoring data, traditional computing power chain sectors continue to adjust with main funds withdrawing, while decentralized finance AI (DeFAI) application layers receive institutional counter-cyclical buying, becoming new market favorites. This change in fund flow not only reflects shifts in market sentiment but also reveals the deep-level reconstruction of AI investment logic.

Computing Power Chain Sectors Continue to Adjust, Valuation Pressure Emerges

Since entering September, AI computing power chain sectors have shown weak performance, with many leading individual stocks experiencing significant adjustments. Market data shows that chip manufacturing giants like NVIDIA and AMD have seen their stock prices fall by more than 15% from early August highs, while computing power leasing related concept stocks have an average decline of 8%. This adjustment is mainly due to three factors:

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• Intensified concerns over excess capacity: Global AI chip capacity continues to expand while demand growth has slowed, leading to changes in supply-demand relationships.
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• Valuation pressure: After significant gains in the early period, computing power chain sector valuations are at historical highs, lacking further upward momentum.
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• Changes in policy environment: Many countries have strengthened export controls on AI chips, increasing uncertainty in industry development.
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Industry analysts point out that the adjustment in the computing power chain sector is not a short-term phenomenon but reflects the market's reassessment of AI investment logic. Over the past year, the market has over-focused on computing power infrastructure construction while neglecting the actual implementation capabilities of the AI application layer. As the market becomes more rational, funds are beginning to shift to areas with more practical application value.

DeFAI Application Layer Receives Institutional Counter-Cyclical Buying, Becoming New Fund Favorites

In stark contrast to the computing power chain, DeFAI (decentralized finance AI) application layers have received significant institutional fund inflows in early September. Monitoring data shows that DeFAI-related concept stocks have risen by an average of more than 12% since September, with AI-driven lending protocols and smart risk control systems performing particularly well in sub-sectors.

Latest holding reports from several top fund companies show they significantly increased their allocation of DeFAI-related assets in the second quarter. Traditional financial institutions like BlackRock and Fidelity are also accelerating their entry into the encrypted AI lending track, introducing traditional credit assets into the blockchain ecosystem through RWA (real-world asset tokenization).

Behind this change in fund flow is the market's repositioning of AI application value assessment. Compared to pure computing power investments, DeFAI applications have the following advantages:

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• Clear practical application scenarios: AI-driven lending protocols, risk control systems, etc. have formed profitable business models.
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• More reasonable valuations: After previous adjustments, DeFAI concept stock valuations are in relatively reasonable ranges.
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• Lower policy risks: Compared to computing power chips, DeFAI applications face relatively less policy regulatory pressure.
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• Broad growth space: The integration of AI and DeFi is in its early stage, with huge future development potential.
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Smart Risk Control Technology Becomes New Valuation Anchor

Among DeFAI application layers, smart risk control technology has become a key focus for institutional funds. Monitoring data shows that since September, AI-driven on-chain risk control concept stocks have risen by an average of 15%, significantly higher than other DeFAI sub-sectors.

The value of smart risk control technology lies in solving several key problems faced by traditional DeFi:

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• Precise risk identification: Through machine learning algorithms, smart risk control systems can more accurately identify on-chain transaction risks, improving risk control efficiency.
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• Dynamic risk assessment: Real-time monitoring of market changes, dynamically adjusting risk assessment models to adapt to market volatility.
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• Cross-chain risk integration: Integrating multi-chain data to build comprehensive risk assessment systems, expanding risk coverage.
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• Personalized risk control strategies: Providing personalized risk control strategies based on user historical behavior and credit status.
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Several institutional research reports indicate that smart risk control technology has become the core competitiveness of DeFAI applications and an important valuation anchor. DeFAI projects with advanced risk control technology can not only reduce default rates and improve asset security but also attract more institutional funds, creating a positive cycle.

Analysis of Latest Institutional Fund Allocation Trends

Looking at the latest institutional fund allocation trends, AI concept stock investment shows clear "de-computing power" and "application-oriented" trends. This is manifested in several aspects:

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• Significant position adjustment by top funds: Several top funds significantly reduced their holdings of computing power chain ETFs in the second quarter while increasing allocations to DeFAI-related assets. For example, a well-known AI-themed fund reduced its computing power chain allocation from 60% to 35%, while increasing its DeFAI application layer allocation from 15% to 40%.
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• Accelerated entry of traditional financial institutions: Traditional financial institutions like BlackRock and Fidelity are entering the DeFAI track through RWA methods. For instance, BlackRock recently completed the first on-chain credit asset tokenization, introducing traditional credit assets into the blockchain ecosystem.
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• Venture capital shifting to application layer: VC funds are shifting from infrastructure to application layers, focusing on AI-driven lending protocols, smart risk control systems, and other projects with practical application scenarios.
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• Quantitative funds actively positioning: Quantitative funds are increasing their research on AI concept stocks, developing AI-based stock selection models, and focusing on DeFAI projects with technical advantages and market positions.
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Market analysts believe this round of institutional fund adjustments reflects the market's reassessment of AI investment logic. Over the past year, the market has over-focused on computing power infrastructure construction while neglecting the actual implementation capabilities of the AI application layer. As the market becomes more rational, funds are beginning to shift to areas with more practical application value.

In-depth Analysis of AI Concept Stock Investment Opportunities

Based on the current market landscape, AI concept stock investment opportunities are mainly concentrated in the following areas:

1. DeFAI Application Layer Leaders

DeFAI application layer leaders have technical advantages and market positions, enabling them to benefit first from industry growth. Focus on projects with the following characteristics:

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• Advanced AI algorithms and risk control technology
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• Have formed stable user bases and trading volumes
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• Cooperate with mainstream financial institutions
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• Have good profitability and cash flow
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2. Smart Risk Control Technology Providers

Smart risk control technology is the core competitiveness of DeFAI applications, and related technology providers have long-term investment value. Focus on:

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• Having independent intellectual property rights for AI risk control algorithms
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• Cross-chain data integration capabilities
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• Recognized by multiple institutional clients
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• High technical barriers that are difficult to replicate
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3. RWA On-chain Financial Innovators

The on-chain tokenization of real-world assets (RWA) is an important direction for DeFAI development, and related innovators have huge potential. Focus on:

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• Successfully implemented traditional asset on-chain
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• Have compliance and regulatory advantages
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• Deep cooperation with large financial institutions
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• Can solve traditional financial pain points
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4. AI Lending Protocol Innovators

AI-driven lending protocols are an important part of DeFAI, and innovators can seize market opportunities. Focus on:

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• Have unique lending models
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• Efficient interest rate discovery mechanisms
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• Can reduce borrowing costs
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• Good user experience
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Risk Warnings and Investment Recommendations

Although AI concept stocks, especially DeFAI application layers, show good investment opportunities, investors should still pay attention to the following risks:

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• Policy and regulatory risks: Changes in regulatory policies for the encrypted financial field may have a significant impact on DeFAI applications.
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• Technical risks: AI algorithms may have vulnerabilities or be attacked, leading to asset losses.
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• Market volatility risks: The crypto market is highly volatile, which may cause significant fluctuations in DeFAI application values.
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• Intensified competition risks: As the DeFAI track heats up, competition may intensify, affecting project profitability.
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For different types of investors, we offer the following investment recommendations:

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• Long-term investors: Can focus on DeFAI application layer leaders with technical advantages and market positions, using dollar-cost averaging strategies and diversifying investments.
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• Medium-term investors: Can focus on smart risk control technology providers and RWA on-chain financial innovators, seizing industry growth opportunities.
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• Short-term traders: Can focus on sector rotation opportunities in AI concept stocks, especially trading opportunities brought by changes in fund flows.
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Future Outlook: Deep-level Reconstruction of AI Investment Logic

As the market enters a new trading cycle in September, AI concept stock investment logic is undergoing deep-level reconstruction. Shifting from over-focusing on computing power infrastructure construction to emphasizing the actual implementation capabilities of the AI application layer; from pure technology-driven to technology and finance integration; from short-term speculation to long-term value investment.

In the future, the integration of AI and DeFi will show the following development trends:

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• Deep technology integration: AI algorithms will deeply integrate with DeFi protocols to form smarter, more efficient financial systems.
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• Application scenario expansion: DeFAI applications will expand from basic areas like lending and risk control to more complex financial scenarios.
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• Accelerated institutional entry: As the regulatory environment becomes clearer, more traditional financial institutions will enter the DeFAI field.
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• Enhanced cross-chain interconnection: DeFAI applications on different chains will achieve interconnection, forming a more complete ecosystem.
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Market analysts believe this round of reconstruction of AI investment logic marks the market's rational migration from "computing power faith" to "DeFAI implementation." For investors, grasping this trend change and adjusting investment strategies will yield better returns in future AI investment waves.

In conclusion, the changes in fund flows for AI concept stocks in early September not only reflect shifts in market sentiment but also reveal the deep-level reconstruction of AI investment logic. Investors should closely follow this trend change, adjust investment strategies, seize investment opportunities in the DeFAI application layer, while paying attention to related risks to achieve long-term stable investment returns.