David Tepper Increases Holdings in AI Stocks
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Feb 27 2026
0mins
Should l Buy GOOGL?
Source: Fool
- Increased Alphabet Holdings: David Tepper raised his stake in Alphabet by nearly 29% in Q4, bringing its share in Appaloosa's portfolio to 8.2%, indicating strong bullish sentiment towards the tech giant and reflecting a resurgence of market confidence in Google's generative AI capabilities.
- Micron's Investment Success: Appaloosa tripled its position in Micron during Q4, with current shares up 130% from the purchase price, showcasing a strong market performance driven by surging AI demand, effectively capitalizing on the industry's supply shortages.
- Meta Platforms' Challenges: Despite increasing its Meta stake by 62% in Q4, Appaloosa faced a significant decline in Meta's stock, which fell nearly 25% due to market skepticism regarding its AI spending, highlighting the uncertainty of short-term returns and the potential need for a turnaround.
- Taiwan Semiconductor's Steady Investment: Tepper's increased investment in Taiwan Semiconductor during Q4 positions it as a key beneficiary of record capital expenditures by tech firms on data centers, making it a reliable choice to play the AI trend and reflecting confidence in future growth prospects.
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Analyst Views on GOOGL
Wall Street analysts forecast GOOGL stock price to rise
33 Analyst Rating
26 Buy
7 Hold
0 Sell
Strong Buy
Current: 297.390
Low
305.00
Averages
374.25
High
400.00
Current: 297.390
Low
305.00
Averages
374.25
High
400.00
About GOOGL
Alphabet Inc. is a holding company. The Company's segments include Google Services, Google Cloud, and Other Bets. The Google Services segment includes products and services such as ads, Android, Chrome, devices, Google Maps, Google Play, Search, and YouTube. The Google Cloud segment includes infrastructure and platform services, collaboration tools, and other services for enterprise customers. Its Other Bets segment is engaged in the sale of healthcare-related services and Internet services. Its Google Cloud provides enterprise-ready cloud services, including Google Cloud Platform and Google Workspace. Google Cloud Platform provides access to solutions such as artificial intelligence (AI) offerings, including its AI infrastructure, Vertex AI platform, and Gemini for Google Cloud; cybersecurity, and data and analytics. Google Workspace includes cloud-based communication and collaboration tools for enterprises, such as Calendar, Gmail, Docs, Drive, and Meet.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
Emerging Tech Stars in the Market
- TSMC's AI Potential: Taiwan Semiconductor Manufacturing (TSM), a global leader in chip manufacturing, holds a market cap of $1.8 trillion and is poised to benefit from broad market demand in AI chip production, particularly in smartphones and personal computers over the coming years.
- Broadcom's Custom Chip Advantage: Broadcom (AVGO) forecasts over $100 billion in AI chip revenue by 2027, successfully carving out a niche in the AI market with its custom chips designed for specific tasks, reflecting strong customer demand and market potential.
- Nebius Group's Rapid Growth: Nebius Group (NBIS) focuses on AI workloads, achieving annual recurring revenue of $1.25 billion in the recent year, with expectations to rise to $7 billion to $9 billion this year, showcasing its strong growth potential in the cloud computing sector.
- Market Environment Challenges: Despite concerns about the economy and geopolitical factors affecting the Magnificent Seven tech stocks, emerging companies like TSMC, Broadcom, and Nebius Group demonstrate robust growth potential, positioning themselves as future market leaders.
See More
Google's Breakthrough Algorithm Shakes Memory Chip Market
- Memory Demand Shift: Google's TurboQuant algorithm reduces memory requirements for generative AI models by six times, triggering nearly a 20% drop in Micron and Sandisk stocks, indicating a drastic shift in market expectations for memory prices.
- Overreaction in Market: While efficiency gains may increase demand, Micron projects the high-bandwidth memory market to grow from $35 billion to $100 billion, suggesting that supply constraints remain, and the current stock decline could represent a buying opportunity.
- Open Source Impact: By open-sourcing the TurboQuant algorithm, Google allows all AI companies to leverage this breakthrough, potentially increasing demand for memory chips and further impacting market prices and supply chains.
- Cautious Investor Approach: Despite the panic triggered by TurboQuant news, investors should monitor consumer memory prices to assess whether Micron faces risks of falling product prices, remaining vigilant in their investment strategies.
See More
Google's TurboQuant Algorithm Triggers Memory Chip Market Volatility
- Algorithm Efficiency Boost: Google's TurboQuant algorithm reduces memory usage by at least 6x and speeds up processing by up to 8x without any accuracy loss, potentially decreasing memory demand by 83%.
- Market Reaction: Following this announcement, shares of memory chipmakers Micron Technology and Sandisk fell by 10% and 14%, respectively, as investors feared a significant drop in demand, although some experts caution that these fears may be overblown.
- Historical Insight: The Jevons Paradox suggests that increased efficiency can lower costs and ultimately increase demand; historical examples, such as improved fuel efficiency in cars leading to higher fuel consumption, indicate that memory chip demand may not decline as expected.
- Investment Opportunity: Despite the initial pullback in Micron and Sandisk stocks, analysts believe that the launch of TurboQuant will drive further AI adoption and strengthen demand for memory chips, with Mizuho analysts reiterating their outperform ratings, suggesting this is a buying opportunity.
See More
Google's Algorithm Causes Plunge in Micron and Sandisk Stocks
- Stock Plunge: Google's introduction of the TurboQuant algorithm led to a 10% drop in Micron and a 14% drop in Sandisk shares, as investors feared that the AI breakthrough would drastically reduce demand for memory chips, impacting future revenues.
- Historical Lessons: The Jevons Paradox suggests that increased efficiency in resource use can actually lead to higher demand; historically, coal consumption rose despite efficiency improvements, indicating a potential similar outcome for the memory chip market.
- Analyst Optimism: Mizuho analyst Vijay Rakesh reiterated his outperform ratings on Micron and Sandisk, arguing that the launch of TurboQuant will drive AI adoption and strengthen demand for memory chips, highlighting potential market opportunities.
- Positive Financial Outlook: Micron forecasts Q3 revenue of $33.5 billion, representing a 260% year-over-year growth, with gross margins expected to increase by 660 basis points to about 81%, indicating strong growth potential despite market skepticism.
See More
Comparing Growth of Nvidia and Alphabet's Cloud Computing
- Nvidia Revenue Surge: In Q4 of fiscal 2026, Nvidia's revenue soared 73% year-over-year to $68.1 billion, with the data center segment contributing $62.3 billion, reflecting strong demand from cloud providers for AI-capable GPUs, thereby solidifying its market leadership.
- Strong Google Cloud Performance: Alphabet's revenue rose 18% year-over-year to $113.8 billion in Q4, with cloud computing revenue surging 48% to $17.7 billion, indicating robust growth potential in the high-margin enterprise cloud market.
- Capital Expenditure Risks: Despite Nvidia's rapid growth, its business is heavily tied to customer capital expenditure cycles, and if cloud infrastructure budgets normalize or competition intensifies, it could face dual pressures on pricing and revenue growth, increasing investment risks.
- Diversified Revenue Advantage: In contrast, Alphabet's diversified revenue streams and stable cash flow position it well to maintain strong market performance even if AI infrastructure spending cools, with projected free cash flow of $73.3 billion in 2025 enhancing its long-term investment appeal.
See More
Analysis of AI Competition Between Nvidia and Alphabet
- Nvidia's Revenue Surge: Nvidia's revenue soared 73% year-over-year in Q4 of fiscal 2026, reaching $68.1 billion, with the data center segment contributing $62.3 billion, reflecting strong cloud demand; however, future hardware cycle risks could impact sustained growth.
- Strong Google Cloud Performance: Alphabet's revenue grew 18% year-over-year to $113.8 billion in Q4, with cloud computing revenue surging 48% to $17.7 billion, indicating ongoing expansion potential in high-margin sectors.
- Capital Expenditure Plans: Alphabet plans to invest $175 billion to $185 billion in capital expenditures in 2025, primarily for AI compute capacity and cloud demand, which may pose short-term risks but is expected to enhance market competitiveness in the long run.
- Investment Choice Analysis: While Nvidia shows faster growth, its 36 P/E ratio and uncertainty around hardware cycles introduce higher risks, whereas Alphabet, with a 27 P/E ratio and diversified revenue streams, presents a safer long-term investment option.
See More
Emerging Tech Stars in the Market
- TSMC's AI Potential: Taiwan Semiconductor Manufacturing (TSM), a global leader in chip manufacturing, holds a market cap of $1.8 trillion and is poised to benefit from broad market demand in AI chip production, particularly in smartphones and personal computers over the coming years.
- Broadcom's Custom Chip Advantage: Broadcom (AVGO) forecasts over $100 billion in AI chip revenue by 2027, successfully carving out a niche in the AI market with its custom chips designed for specific tasks, reflecting strong customer demand and market potential.
- Nebius Group's Rapid Growth: Nebius Group (NBIS) focuses on AI workloads, achieving annual recurring revenue of $1.25 billion in the recent year, with expectations to rise to $7 billion to $9 billion this year, showcasing its strong growth potential in the cloud computing sector.
- Market Environment Challenges: Despite concerns about the economy and geopolitical factors affecting the Magnificent Seven tech stocks, emerging companies like TSMC, Broadcom, and Nebius Group demonstrate robust growth potential, positioning themselves as future market leaders.
See More
Google's Breakthrough Algorithm Shakes Memory Chip Market
- Memory Demand Shift: Google's TurboQuant algorithm reduces memory requirements for generative AI models by six times, triggering nearly a 20% drop in Micron and Sandisk stocks, indicating a drastic shift in market expectations for memory prices.
- Overreaction in Market: While efficiency gains may increase demand, Micron projects the high-bandwidth memory market to grow from $35 billion to $100 billion, suggesting that supply constraints remain, and the current stock decline could represent a buying opportunity.
- Open Source Impact: By open-sourcing the TurboQuant algorithm, Google allows all AI companies to leverage this breakthrough, potentially increasing demand for memory chips and further impacting market prices and supply chains.
- Cautious Investor Approach: Despite the panic triggered by TurboQuant news, investors should monitor consumer memory prices to assess whether Micron faces risks of falling product prices, remaining vigilant in their investment strategies.
See More
Google's TurboQuant Algorithm Triggers Memory Chip Market Volatility
- Algorithm Efficiency Boost: Google's TurboQuant algorithm reduces memory usage by at least 6x and speeds up processing by up to 8x without any accuracy loss, potentially decreasing memory demand by 83%.
- Market Reaction: Following this announcement, shares of memory chipmakers Micron Technology and Sandisk fell by 10% and 14%, respectively, as investors feared a significant drop in demand, although some experts caution that these fears may be overblown.
- Historical Insight: The Jevons Paradox suggests that increased efficiency can lower costs and ultimately increase demand; historical examples, such as improved fuel efficiency in cars leading to higher fuel consumption, indicate that memory chip demand may not decline as expected.
- Investment Opportunity: Despite the initial pullback in Micron and Sandisk stocks, analysts believe that the launch of TurboQuant will drive further AI adoption and strengthen demand for memory chips, with Mizuho analysts reiterating their outperform ratings, suggesting this is a buying opportunity.
See More
Google's Algorithm Causes Plunge in Micron and Sandisk Stocks
- Stock Plunge: Google's introduction of the TurboQuant algorithm led to a 10% drop in Micron and a 14% drop in Sandisk shares, as investors feared that the AI breakthrough would drastically reduce demand for memory chips, impacting future revenues.
- Historical Lessons: The Jevons Paradox suggests that increased efficiency in resource use can actually lead to higher demand; historically, coal consumption rose despite efficiency improvements, indicating a potential similar outcome for the memory chip market.
- Analyst Optimism: Mizuho analyst Vijay Rakesh reiterated his outperform ratings on Micron and Sandisk, arguing that the launch of TurboQuant will drive AI adoption and strengthen demand for memory chips, highlighting potential market opportunities.
- Positive Financial Outlook: Micron forecasts Q3 revenue of $33.5 billion, representing a 260% year-over-year growth, with gross margins expected to increase by 660 basis points to about 81%, indicating strong growth potential despite market skepticism.
See More
Comparing Growth of Nvidia and Alphabet's Cloud Computing
- Nvidia Revenue Surge: In Q4 of fiscal 2026, Nvidia's revenue soared 73% year-over-year to $68.1 billion, with the data center segment contributing $62.3 billion, reflecting strong demand from cloud providers for AI-capable GPUs, thereby solidifying its market leadership.
- Strong Google Cloud Performance: Alphabet's revenue rose 18% year-over-year to $113.8 billion in Q4, with cloud computing revenue surging 48% to $17.7 billion, indicating robust growth potential in the high-margin enterprise cloud market.
- Capital Expenditure Risks: Despite Nvidia's rapid growth, its business is heavily tied to customer capital expenditure cycles, and if cloud infrastructure budgets normalize or competition intensifies, it could face dual pressures on pricing and revenue growth, increasing investment risks.
- Diversified Revenue Advantage: In contrast, Alphabet's diversified revenue streams and stable cash flow position it well to maintain strong market performance even if AI infrastructure spending cools, with projected free cash flow of $73.3 billion in 2025 enhancing its long-term investment appeal.
See More
Analysis of AI Competition Between Nvidia and Alphabet
- Nvidia's Revenue Surge: Nvidia's revenue soared 73% year-over-year in Q4 of fiscal 2026, reaching $68.1 billion, with the data center segment contributing $62.3 billion, reflecting strong cloud demand; however, future hardware cycle risks could impact sustained growth.
- Strong Google Cloud Performance: Alphabet's revenue grew 18% year-over-year to $113.8 billion in Q4, with cloud computing revenue surging 48% to $17.7 billion, indicating ongoing expansion potential in high-margin sectors.
- Capital Expenditure Plans: Alphabet plans to invest $175 billion to $185 billion in capital expenditures in 2025, primarily for AI compute capacity and cloud demand, which may pose short-term risks but is expected to enhance market competitiveness in the long run.
- Investment Choice Analysis: While Nvidia shows faster growth, its 36 P/E ratio and uncertainty around hardware cycles introduce higher risks, whereas Alphabet, with a 27 P/E ratio and diversified revenue streams, presents a safer long-term investment option.
See More
