Buffett-style framework

ELECTRONIC ARTS INC

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs like LQAI and AIEQ show increasing weight trends in Electronic Arts, indicating accumulation or a positive outlook. This activity directly conflicts with the 'Too Hard' verdict from the Buffett-style framework, which finds the company's long-term predictability insufficient for investment consideration.

SUPER MICRO COMPUTER INC

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs, specifically AIEQ and BUZZ, are showing a clear trend of decreasing their weight in Super Micro Computer Inc. This cautious or bearish stance from the AI algorithms aligns with our 'Too Hard' verdict, suggesting a shared perception of difficulty in long-term predictability or increasing risk.

GOLDMAN SACHS GROUP INC

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs are currently holding Goldman Sachs with mixed recent activity, showing both minor increases and decreases in weighting across different funds. This contrasts with the framework's verdict, which suggests a value investor would find the company too difficult to analyze due to the unpredictable nature of its core business and would therefore avoid it.

LAM RESEARCH CORP

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs show mixed activity with some decreasing weights (AIEQ, AMOM, QRFT), others increasing (PQUS), and one new entry (LQAI). This framework's verdict of 'Too Hard' contrasts with the AI ETFs' active trading, suggesting they might utilize different, potentially shorter-term, models to assess value in a highly cyclical and technologically dynamic industry.

PAYPAL HOLDINGS INC.

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs (AIEQ, BUZZ, LQAI) show a recent trend of increasing their holdings in PayPal, indicating a positive outlook or accumulation strategy for them. This contrasts sharply with a Buffett-style framework, which finds the company's long-term earning power too unpredictable to confidently analyze, leading to a "Too Hard" verdict despite current valuation metrics.

VALERO ENERGY CORP

• Competence
• Moat
• Management
• Financials
• Price

Some AI ETFs like AIEQ and AMOM show recent weight increases in Valero, indicating an accumulating trend or positive sentiment, while LQAI recently exited the position. This active engagement or accumulation by AI ETFs contrasts with the framework's 'Too Hard' verdict, which deems the company's long-term earning power too unpredictable for a foundational value assessment.

DOW INC

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs PQUS, AIEQ, and QRFT currently hold DOW, with PQUS showing a recent trend of decreasing its weight in the company. In contrast, the Buffett-style framework deems DOW 'Too Hard' to analyze due to the fundamental unpredictability of its commodity chemicals business. This suggests a potential misalignment between the AI's current holdings and a long-term, predictable earning power assessment, though PQUS's decreasing weight might reflect an emerging divergence.

DELL TECHNOLOGIES INC - C

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs show mixed signals, initially accumulating Dell shares but recently exhibiting significant weight decreases across several funds and an exit by one ETF. In contrast, the Buffett-style value framework finds Dell's business too unpredictable for reliable long-term analysis, resulting in a 'Too Hard' verdict, which suggests a fundamental difference in investment approach compared to the AI funds' dynamic strategies.

CF INDUSTRIES HOLDINGS INC

• Competence
• Moat
• Management
• Financials
• Price

Several AI ETFs are holding CF Industries and showing recent accumulation trends, indicating a positive outlook from their algorithms. This stands in clear contrast to the 'Too Hard' verdict from the Buffett-style framework, which emphasizes long-term predictability over current market signals or cyclical opportunities.

PHILLIPS 66

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs, AIEQ and PQUS, are currently accumulating PHILLIPS 66, signaling a positive outlook or perceived opportunity. In contrast, a Buffett-style framework finds PHILLIPS 66 'Too Hard' to evaluate due to the fundamental unpredictability of its refining operations' unit economics. This suggests a significant divergence in investment philosophy, with the AI possibly focusing on short-term market dynamics while the value-investing approach prioritizes long-term earnings predictability.

CENTENE CORP

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs show mixed signals regarding Centene, with PQUS and AMOM decreasing their weight in the company, while LQAI recently made a new entry. This contrasts with the framework's assessment that Centene's business model is too unpredictable due to regulatory factors for reliable long-term investment analysis.

PALANTIR TECHNOLOGIES INC. CLASS A

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs exhibit mixed activity, with some like QRFT and LQAI accumulating shares while others such as PQUS and BUZZ show decreasing trends, and AIEQ made an exit. This contrasts with the Buffett-style framework's verdict of 'Too Hard,' which indicates that Palantir's business model is too unpredictable for confident long-term valuation, suggesting the AI's models operate on different premises or shorter time horizons.

META PLATFORMS INC

• Competence
• Moat
• Management
• Financials
• Price

Several AI ETFs, including PQUS, AIEQ, BUZZ, and QRFT, have shown recent trends of accumulating Meta Platforms shares by increasing their portfolio weights, while LQAI has been decreasing its weight. This mixed sentiment, leaning towards accumulation, contrasts with the value-investing framework's 'Too Hard' verdict. The framework finds the company's future cash flows too unpredictable for confident long-term projection, diverging from the AI's current engagement.

NETFLIX INC

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs show mixed activity, with recent weight decrease trends from PQUS, AIEQ, and BUZZ, yet AIEQ also had significant increases earlier in the month. This signals potential algorithmic re-evaluation or divided conviction. In contrast, a Buffett-style framework deems Netflix "Too Hard" to analyze, suggesting that its unpredictable unit economics make it unsuitable for long-term, conviction-based investment, regardless of price fluctuations.

SANDISK CORP.

• Competence
• Moat
• Management
• Financials
• Price

Recent AI ETF activity for SNDK shows a high degree of churn, with both increases and decreases in weighting across multiple funds in rapid succession. This dynamic, trading-oriented approach, often characterized by frequent trend shifts and sudden large changes, contrasts sharply with the framework's conclusion that SNDK is 'Too Hard' to evaluate for long-term, predictable value investment. The AI's short-term focus on price movements appears to diverge from the long-term predictability required by a value-investing approach.

ABBVIE INC.

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs show mixed signals, with AIEQ and PQUS generally decreasing their weight in ABBV, while QRFT exhibits some recent increases and decreases. This somewhat aligns with the 'Too Hard' verdict, suggesting a cautious or uncertain stance, rather than a strong conviction buy or sell.

MICRON TECHNOLOGY INC

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs exhibit highly volatile and mixed activity for Micron, with numerous recent weight increases suggesting a bullish, perhaps momentum-driven, view alongside frequent weight decreases and large rebalances. This contrasts sharply with the value-investing framework's 'Too Hard' verdict, which emphasizes long-term predictability over short-term market dynamics or cyclical upswings. The AI's active trading approach indicates an attempt to navigate a business that a Buffett-style analysis would avoid due to its inherent unpredictability.

TYSON FOODS INC A

• Competence
• Moat
• Management
• Financials
• Price

The AIEQ ETF recently entered a new position in Tyson Foods and has shown fluctuating weight, suggesting the AI finds it an investable opportunity. This stands in direct contrast to our framework's verdict of 'Too Hard,' which indicates the business is too unpredictable for a long-term value assessment.

BROADCOM INC

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs display mixed activity for Broadcom, with some like BUZZ showing accumulation trends and AIEQ showing recent weight increases, while PQUS and LQAI exhibit recent decreases. This contrasts with a Buffett-style framework's 'Too Hard' verdict, which would advise against investing due to the inherent unpredictability of the business, regardless of short-term price or trend signals.

WESTERN DIGITAL CORP

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs show mixed activity with Western Digital, exhibiting both periods of significant selling and recent accumulation trends, particularly from AIVL, AMOM, and PQUS. This dynamic engagement by AI-managed funds contrasts sharply with a Buffett-style framework's "Too Hard" verdict, which would completely avoid investing in companies within unpredictable industries like data storage. The AI's willingness to actively trade and hold WDC suggests a comfort with volatility and short-term trends that is contrary to the long-term, predictable earning power focus of value investing.

DUPONT DE NEMOURS INC.

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs like AIEQ have recently initiated positions in DuPont and shown active trading interest, indicating a willingness to invest in a company that a Buffett-style framework deems too complex to understand for long-term predictability. The AI's activity suggests it may be applying different criteria or a shorter time horizon compared to the long-term cash flow projection required by this value-investing approach.

INCYTE CORPORATION.

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs initially showed interest in Incyte, with AIEQ entering and increasing its weight, but then a recent weight decrease trend emerged. This shifting AI sentiment contrasts with the framework's 'Too Hard' verdict, which suggests avoiding the company altogether due to the fundamental unpredictability of its industry rather than reacting to short-term trends.

CROWDSTRIKE HOLDINGS, INC.

• Competence
• Moat
• Management
• Financials
• Price

Several AI ETFs (PQUS, BUZZ, AMOM, QRFT) show accumulation or increasing weight trends for CrowdStrike, indicating a belief in future growth or momentum. This contrasts with the 'Too Hard' verdict, which concludes that the company's unpredictable unit economics make it unsuitable for a long-term, projection-based value investment framework.

NVIDIA CORP

• Competence
• Moat
• Management
• Financials
• Price

Many AI ETFs show an increasing weight trend for NVIDIA, indicating a belief in its current momentum and AI-driven growth prospects. This contrasts sharply with a Buffett-style framework's 'Too Hard' verdict, which prioritizes long-term predictability of earning power and declines to invest in businesses where ten-year cash flows cannot be reasonably projected.

ON SEMICONDUCTOR CORP

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs show mixed signals, with AIEQ accumulating a significant position and AMOM holding a smaller one, while LQAI has exited the stock. In contrast, a Buffett-style framework deems ON Semiconductor "Too Hard" to analyze, highlighting a divergence between AI-driven strategies and a fundamental predictability-focused approach.

Carvana Co

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs display mixed and volatile recent activity in Carvana, with AIEQ showing a large initial increase followed by a decreasing trend, while BUZZ registered a slight increase. This active trading by AI funds stands in contrast to the value investing framework's conclusion that Carvana is 'Too Hard' to reliably assess due to its unpredictable long-term unit economics.

TESLA INC

• Competence
• Moat
• Management
• Financials
• Price

The framework deems Tesla 'Too Hard' to evaluate due to its unpredictable long-term unit economics, which contrasts with several AI ETFs like LQAI, QRFT, and at times BUZZ, showing recent gradual accumulation trends. However, the significant weight decrease by AIEQ and mixed signals from PQUS and BUZZ suggest some AI models may share a more cautious outlook on the company's current valuation or future predictability.

ALBEMARLE CORP

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs display mixed signals for ALB, with AMOM showing both decreases and a recent increase in weight, suggesting active short-term trading rather than long-term conviction. This active, fluctuating AI involvement contrasts sharply with the 'Too Hard' verdict from a value-investing framework, which would advise complete avoidance due to the fundamental unpredictability of the business. The AI's actions imply a focus on momentum or tactical allocation, rather than the enduring business quality sought by value investors.

APPLIED MATERIALS INC

• Competence
• Moat
• Management
• Financials
• Price

Multiple AI ETFs, including AMOM, PQUS, QRFT, and AIEQ, are showing recent trends of accumulation and increasing weight in Applied Materials. This contrasts sharply with the Buffett-style framework's verdict that the company is 'Too Hard' to evaluate. The AI's active investment suggests a confidence in the company's future, while the framework flags the long-term predictability of its cash flows as a significant hurdle.

ADVANCED MICRO DEVICES

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs exhibit mixed sentiment towards AMD, with some showing gradual accumulation trends while one recently decreased its weight. This divergence in AI activity contrasts sharply with a value-investing framework's 'Too Hard' verdict, which suggests the company is too complex and unpredictable for reliable long-term projection based on predictable earning power.

ARISTA NETWORKS INC

• Competence
• Moat
• Management
• Financials
• Price

Some AI ETFs, like QRFT, show recent trends of accumulating Arista Networks, while another, AIEQ, has exited its position. This divergence and the general AI activity of holding or buying contrast with the framework's "Too Hard" verdict, which suggests the company's long-term predictability is insufficient for a value investment thesis.

APA CORPORATION

• Competence
• Moat
• Management
• Financials
• Price

Some AI ETFs show decreasing weight trends (AMOM) or outright exits (AIEQ) for APA, which aligns with the framework's verdict that the company's inherent unpredictability makes it "Too Hard" to reliably assess. However, AIVI has shown a recent increase trend, suggesting some AI strategies might identify opportunity based on different metrics or shorter-term outlooks.

APOLLO GLOBAL MANAGEMENT INC.

• Competence
• Moat
• Management
• Financials
• Price

The AI ETF AIEQ has shown recent activity, including a significant increase in allocation (+0.3800pp) on 2026-07-01 to 0.6600%, following an earlier decrease trend, indicating recent accumulation. This active investment stance by the AI ETF contrasts with the framework's 'Too Hard' verdict, which stems from the business's inherent unpredictability for long-term cash flow projection.

APPLOVIN CORPORATION CLASS A

• Competence
• Moat
• Management
• Financials
• Price

Several AI ETFs, including AIEQ, BUZZ, and LQAI, are actively accumulating AppLovin, showing a bullish stance with recent weight increases and large positive changes. This contrasts sharply with a Buffett-style framework's "Too Hard" verdict, which declines to analyze the company further due to the inherent unpredictability of its long-term unit economics in a rapidly evolving industry. The AI's actions suggest a focus that differs from the long-term predictability sought by value investing principles.

BOEING CO

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs, specifically BUZZ and QRFT, are showing a recent trend of decreasing their weight in Boeing. This action aligns with the framework's 'Too Hard' verdict, as the operational unpredictability makes it challenging to establish long-term value, suggesting caution or divestment is prudent.

BRISTOL-MYERS SQUIBB COMPANY

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs, particularly PQUS, show a pattern of gradual accumulation in Bristol-Myers Squibb, indicating their algorithms identify a buying opportunity or positive trend. This contrasts sharply with a Buffett-style framework, which deems the company too unpredictable for reliable long-term valuation due to patent expirations and R&D challenges.

Qnity Electronics

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs, AIVL and PQUS, are currently holding Qnity Electronics and show recent activity, with PQUS increasing its weight and AIVL exhibiting mixed signals of both increasing and decreasing weight. This active management by AI contrasts sharply with the Buffett-style framework's verdict that Qnity Electronics is "Too Hard" to analyze, highlighting a fundamental disagreement on the predictability and long-term investment suitability of the company.

MARVELL TECHNOLOGY INC

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs show mixed activity with BUZZ and PQUS initiating or accumulating positions in Marvell Technology, while LQAI shows a decreasing trend. This contrasts with the framework's 'Too Hard' verdict, which indicates a traditional value investor would avoid the company due to the unpredictable nature of its semiconductor business and inability to project long-term cash flows, suggesting AI systems operate with different risk appetites or analytical horizons.

FORD MOTOR CO

• Competence
• Moat
• Management
• Financials
• Price

Several AI ETFs, including BUZZ and PQUS, have shown recent accumulation trends for Ford, suggesting a positive outlook on the company. This contrasts with the framework's 'Too Hard' verdict, which indicates that the automotive industry's inherent unpredictability makes it unsuitable for a long-term value assessment, regardless of current market sentiment.

DATADOG, INC.

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs show mixed activity, with some entering and others adjusting their weights, indicating varying sentiment towards DataDog. This contrasts with the framework's 'Too Hard' verdict, which suggests the company falls outside the investable universe due to its long-term unpredictability. The framework prioritizes stable, long-term cash flow predictability, which may not be a primary driver for these AI-driven trading signals.

INTEL CORP

• Competence
• Moat
• Management
• Financials
• Price

Many AI ETFs are showing a clear trend of gradual accumulation and increasing their weight in Intel, indicating a belief in future potential or value. This directly contrasts with the framework's verdict of 'Too Hard,' which deems the company's long-term earning power too unpredictable for a sound investment.

COGNIZANT TECH SOLUTIONS CORP

• Competence
• Moat
• Management
• Financials
• Price

The AI ETF PQUS shows a trend of decreasing its weight in Cognizant Technology Solutions. This action aligns with the framework's 'Too Hard' verdict, which suggests caution regarding the company's long-term predictability due to the dynamic nature of its industry.

LUMENTUM HOLDINGS INC

• Competence
• Moat
• Management
• Financials
• Price

Several AI ETFs are showing recent weight increases in Lumentum Holdings Inc., indicating an accumulation or continued holding trend. This contrasts sharply with a Buffett-style framework's verdict that the company is 'Too Hard' to evaluate, suggesting the AI's investment thesis relies on factors beyond long-term predictive earning power.

FREEPORT-MCMORAN INC

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs, specifically AIEQ, are actively holding and showing recent fluctuating interest in Freeport-McMoRan, including a recent weight increase trend. This contrasts with the Buffett-style framework's verdict of 'Too Hard,' which would decline to analyze or invest in the company due to the inherent unpredictability of commodity prices, regardless of current AI sentiment or price.

GE VERNOVA INC

• Competence
• Moat
• Management
• Financials
• Price

While the fundamental framework finds GE Vernova 'Too Hard' to evaluate due to its recent spin-off and lack of independent operating history, AI ETFs are actively trading and holding the stock. Some AI funds like AIEQ and PQUS have shown recent weight increases, suggesting a belief in its investability, while others like LQAI and AMOM have shown periods of significant weight decreases, indicating a mixed sentiment and ongoing re-evaluation by algorithmic strategies.

KLA CORP

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs are showing a consistent pattern of accumulation and increasing weight in KLA Corp across multiple funds. This activity suggests a favorable outlook from the AI systems, likely driven by growth prospects in the technology sector. However, this contrasts sharply with the framework's 'Too Hard' verdict, which suggests avoiding the company due to the inherent unpredictability of its industry's unit economics over the long term.

EXXONMOBIL HOLDINGS CORP

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs show mixed activity in XOM, with some increasing and others decreasing their weightings, indicating a dynamic or divided view on the company. This contrasts with the framework's 'Too Hard' verdict, which suggests Exxon Mobil's business model is inherently too unpredictable for long-term value assessment, despite its size and market presence.

TERADYNE INC

• Competence
• Moat
• Management
• Financials
• Price

Several AI ETFs are actively holding Teradyne, with some showing weight increase trends and one even initiating a new entry. This signals a positive outlook or momentum-driven strategy from the AI funds. However, the value-investing framework concludes that the company is "Too Hard" to analyze due to unpredictable long-term cash flows, directly contrasting with the AI's current investment activities.

MICROCHIP TECHNOLOGY INCORPORATED

• Competence
• Moat
• Management
• Financials
• Price

PQUS increased its weight in MCHP, suggesting a belief in future appreciation, while LQAI exited its position, indicating a diverging view. This mixed AI activity contrasts with the framework's 'Too Hard' verdict, which suggests the business's predictability is too low for confident long-term investment. The AI's active trading decisions highlight the inherent difficulty in consistently valuing a company with unpredictable future cash flows.

FORTINET INC

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs like AIEQ are entering or holding Fortinet, signaling a positive outlook on the company's prospects. This stands in contrast to the value investing framework's 'Too Hard' verdict, which suggests the business's inherent unpredictability makes it unsuitable for long-term value analysis, regardless of current market interest.

HASBRO INC

• Competence
• Moat
• Management
• Financials
• Price

AI ETF AIEQ has shown a trend of decreasing its weight in Hasbro, indicating a move towards exiting or reducing exposure to the company. This selling activity by the AI aligns with the 'Too Hard' verdict, as both suggest a cautious stance stemming from the unpredictability of Hasbro's future earning power.

PALO ALTO NETWORKS INC.

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs show mixed activity for PANW, with AIEQ recently increasing weight and QRFT making a new entry, alongside some decrease trends from LQAI and AIEQ. These actions indicate the AI's willingness to engage with the stock, potentially based on momentum or short-term strategic factors. This stands in contrast to a value-investing framework's assessment that the company's long-term earning power is too unpredictable to warrant an investment, irrespective of price.

EQT CORP

• Competence
• Moat
• Management
• Financials
• Price

The AI ETFs show mixed signals regarding EQT, with AIEQ trending towards decreasing its weight after a significant entry, while QRFT has made a new, small entry. This activity contrasts sharply with a Buffett-style framework's verdict of 'Too Hard,' which would decline investment due to the inherent unpredictability of commodity-driven earnings.

UBER TECHNOLOGIES INC.

• Competence
• Moat
• Management
• Financials
• Price

While several AI ETFs currently hold UBER, recent signals from PQUS, BUZZ, LQAI, and AIEQ indicate a trend of decreasing weight or exiting the position. This cautious approach by AI-managed funds partially aligns with a Buffett-style framework's 'Too Hard' verdict, which finds the company's long-term predictability challenging despite its market presence.

MORGAN STANLEY

• Competence
• Moat
• Management
• Financials
• Price

AI ETFs display mixed sentiment, with PQUS showing a new entry and AIEQ increasing its weight, while QRFT exhibits a slight weight decrease. This contrasts with a Buffett-style framework, which deems Morgan Stanley "Too Hard" to evaluate, signifying a fundamental disagreement on the ability to predict its long-term performance.