Top Four AI Beneficiary Stocks to Buy Now
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Feb 07 2026
0mins
Should l Buy NVDA?
Source: Fool
- Nvidia's Market Dominance: Nvidia leads the AI sector with its GPUs, crucial for training and running AI models, and is projected to achieve a 52% growth in fiscal 2027; despite concerns over an AI bubble, its robust long-term growth potential makes it an ideal investment choice.
- Broadcom's ASIC Innovation: Broadcom is challenging Nvidia's dominance by designing application-specific integrated circuits (ASICs), with AI semiconductor revenue expected to double year-over-year in Q1; while these chips won't fully replace GPUs, they offer superior performance for specific workloads, potentially capturing some of Nvidia's market share.
- TSMC's Key Role: As a leading chip foundry, TSMC's unmatched manufacturing capabilities position it well in the AI space, with projected growth rates of 31% and 22% for 2023 and 2024 respectively; as AI spending continues to rise, TSMC's stock performance is worth monitoring.
- Microsoft's Cloud Growth: Microsoft's Azure cloud platform saw a 39% year-over-year revenue increase in Q2 of fiscal 2026; although the market reacted negatively to some quarterly results, its $625 billion backlog indicates significant future growth potential, making the current stock price dip a buying opportunity.
Trade with 70% Backtested Accuracy
Stop guessing "Should I Buy NVDA?" and start using high-conviction signals backed by rigorous historical data.
Sign up today to access powerful investing tools and make smarter, data-driven decisions.
Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 198.350
Low
200.00
Averages
264.97
High
352.00
Current: 198.350
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is an artificial intelligence (AI) infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. Its segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing and networking platforms and AI solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment includes GeForce GPUs for gaming and personal computers (PCs), and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. Its technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits (SDKs), and application programming interfaces (APIs). Its platforms address four markets, which include Data Center, Gaming, Professional Visualization, and Automotive.
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.
Cursor Secures $2B Funding Round, Valuation Exceeds $50B
- Massive Funding Round: Cursor is currently engaged in a $2 billion funding round that is expected to elevate its valuation to over $50 billion, providing substantial support for future expansion and technological innovation.
- Strong Investor Lineup: The funding round is co-led by tech-focused venture capital firm Andreessen Horowitz, with participation from Nvidia and Thrive Capital, reflecting the market's high regard for Cursor and its AI coding technology.
- High Market Penetration: As of February, Cursor's annualized revenue has surpassed $2 billion, with approximately 67% of Fortune 500 companies utilizing its platform, indicating widespread adoption and strong demand in the enterprise market.
- Significant Technological Impact: Cursor generates 150 million lines of enterprise code daily, establishing itself as a leader in the AI-assisted coding space and further solidifying its position in the rapidly evolving technology market.
See More
Anthropic Adjusts Pricing to Address AI Demand Uncertainty
- Distorted Demand Signals: While AI demand appears explosive, CEO Dario Amodei of Anthropic highlights that data centers take 1-2 years to build, leading companies to commit billions without verified demand, risking customer loss or delayed revenues, which could impact financial stability.
- Pricing Model Shift: Anthropic is transitioning from flat-rate enterprise pricing to per-token billing, ensuring that revenue reflects actual usage, a strategy aimed at addressing the economic imbalance caused by changes in agentic AI usage patterns, thereby enhancing the company's competitive position in the market.
- Increasing Industry Pressure: As the AI industry gradually accepts per-token billing models, companies like OpenAI face similar transformation pressures, potentially leading their customers to reassess AI usage efficiency, which could affect future market performance and investor confidence.
- Investor Focus: Anthropic and OpenAI are expected to pursue IPOs this year, with investors likely to first scrutinize the authenticity of demand; Anthropic's per-token billing provides clearer data on customer value, while OpenAI may face greater challenges in proving the authenticity of its growth figures.
See More
Anthropic Adjusts Pricing Strategy to Address AI Market Volatility
- Pricing Model Shift: Anthropic has transitioned from flat-rate enterprise pricing to per-token billing, reflecting actual usage, a strategy aimed at addressing potential fluctuations in AI demand and ensuring the company's competitiveness during market corrections.
- Token Consumption Distortion: As token consumption for AI usage surges, companies like Meta and Shopify are tracking employee token usage, yet this practice may lead employees to optimize spending rather than actual output, impacting the return on investment for enterprises.
- Market Demand Uncertainty: CEO Dario Amodei highlighted that data centers take 1-2 years to build, leading companies to commit billions for unverified demand, which could result in over-investment or customer loss, affecting long-term financial health.
- Increasing Industry Pressure: As competition in the AI sector intensifies, companies like OpenAI are also considering pricing adjustments; Anthropic's per-token billing model may become the future industry standard, prompting others to reassess their business models.
See More
US Stocks Rally as Oil Prices Plunge Amid Peace Talks
- Market Surge: The S&P 500 rose by 1.28% and the Nasdaq 100 reached an all-time high, reflecting investor optimism driven by peace talks between the US and Iran, which may enhance risk appetite and bolster overall market confidence.
- Oil Price Plunge: WTI crude oil prices fell over 13% to a five-week low after the Strait of Hormuz reopened, easing inflation concerns and causing the 10-year Treasury yield to drop by 8 basis points, further supporting the bond market.
- Earnings Growth Expectations: Q1 earnings for the S&P 500 are projected to increase by 12% year-over-year, although excluding the tech sector, growth is only 3%, indicating resilience in corporate performance amid economic recovery and providing market support.
- Airline Stocks Soar: With reduced fuel costs, Alaska Air Group and United Airlines surged by over 14% and 11%, respectively, demonstrating the positive impact of falling oil prices on the airline industry, which could enhance profitability for related companies.
See More
Cerebras Initiates IPO Process with S1 Filing
- IPO Process Initiation: Cerebras plans to file its S1 on Friday, officially starting the IPO process, which signifies the company's further development and financing opportunities in the AI chip market.
- Cloud Service Expansion: Beyond selling chips, Cerebras operates its own data centers to provide cloud services, with plans to deliver up to 750 megawatts of computing power to OpenAI by 2028 under a contract valued at over $10 billion, showcasing its strong capabilities in the AI sector.
- Funding and Valuation: Prior to withdrawing its IPO application, Cerebras successfully raised $1.1 billion in September, achieving a valuation of $8.1 billion, reflecting the market's high regard for its technology and growth potential.
- Intensifying Market Competition: As AI technology rapidly evolves, Cerebras faces fierce competition from companies like Nvidia and AMD; however, its large-scale processors' high-speed capabilities provide a unique competitive edge in meeting user demands.
See More
Cerebras Plans Initial Public Offering
- IPO Filing Plan: Cerebras is set to file for an initial public offering on Friday, which is expected to attract investor interest, particularly against the backdrop of rapid growth in the AI sector, potentially enhancing the company's valuation.
- Funding Support: In a funding round announced in September, Cerebras was valued at $8.1 billion, while OpenAI plans to spend over $20 billion on Cerebras products in the coming years, indicating strong market demand for its technology.
- Cloud Service Transformation: Cerebras has begun operating its chips within its own data centers to provide cloud services, with plans to deliver up to 750 megawatts of computing power to OpenAI by 2028 under a contract valued at over $10 billion, further solidifying its market position.
- Investor Interest: As AI companies like Anthropic and OpenAI consider going public, Cerebras's IPO plans may spark retail investor interest, especially following a drought in IPOs in 2022, indicating a rising demand for large tech companies.
See More
Cursor Secures $2B Funding Round, Valuation Exceeds $50B
- Massive Funding Round: Cursor is currently engaged in a $2 billion funding round that is expected to elevate its valuation to over $50 billion, providing substantial support for future expansion and technological innovation.
- Strong Investor Lineup: The funding round is co-led by tech-focused venture capital firm Andreessen Horowitz, with participation from Nvidia and Thrive Capital, reflecting the market's high regard for Cursor and its AI coding technology.
- High Market Penetration: As of February, Cursor's annualized revenue has surpassed $2 billion, with approximately 67% of Fortune 500 companies utilizing its platform, indicating widespread adoption and strong demand in the enterprise market.
- Significant Technological Impact: Cursor generates 150 million lines of enterprise code daily, establishing itself as a leader in the AI-assisted coding space and further solidifying its position in the rapidly evolving technology market.
See More
Anthropic Adjusts Pricing to Address AI Demand Uncertainty
- Distorted Demand Signals: While AI demand appears explosive, CEO Dario Amodei of Anthropic highlights that data centers take 1-2 years to build, leading companies to commit billions without verified demand, risking customer loss or delayed revenues, which could impact financial stability.
- Pricing Model Shift: Anthropic is transitioning from flat-rate enterprise pricing to per-token billing, ensuring that revenue reflects actual usage, a strategy aimed at addressing the economic imbalance caused by changes in agentic AI usage patterns, thereby enhancing the company's competitive position in the market.
- Increasing Industry Pressure: As the AI industry gradually accepts per-token billing models, companies like OpenAI face similar transformation pressures, potentially leading their customers to reassess AI usage efficiency, which could affect future market performance and investor confidence.
- Investor Focus: Anthropic and OpenAI are expected to pursue IPOs this year, with investors likely to first scrutinize the authenticity of demand; Anthropic's per-token billing provides clearer data on customer value, while OpenAI may face greater challenges in proving the authenticity of its growth figures.
See More
Anthropic Adjusts Pricing Strategy to Address AI Market Volatility
- Pricing Model Shift: Anthropic has transitioned from flat-rate enterprise pricing to per-token billing, reflecting actual usage, a strategy aimed at addressing potential fluctuations in AI demand and ensuring the company's competitiveness during market corrections.
- Token Consumption Distortion: As token consumption for AI usage surges, companies like Meta and Shopify are tracking employee token usage, yet this practice may lead employees to optimize spending rather than actual output, impacting the return on investment for enterprises.
- Market Demand Uncertainty: CEO Dario Amodei highlighted that data centers take 1-2 years to build, leading companies to commit billions for unverified demand, which could result in over-investment or customer loss, affecting long-term financial health.
- Increasing Industry Pressure: As competition in the AI sector intensifies, companies like OpenAI are also considering pricing adjustments; Anthropic's per-token billing model may become the future industry standard, prompting others to reassess their business models.
See More
US Stocks Rally as Oil Prices Plunge Amid Peace Talks
- Market Surge: The S&P 500 rose by 1.28% and the Nasdaq 100 reached an all-time high, reflecting investor optimism driven by peace talks between the US and Iran, which may enhance risk appetite and bolster overall market confidence.
- Oil Price Plunge: WTI crude oil prices fell over 13% to a five-week low after the Strait of Hormuz reopened, easing inflation concerns and causing the 10-year Treasury yield to drop by 8 basis points, further supporting the bond market.
- Earnings Growth Expectations: Q1 earnings for the S&P 500 are projected to increase by 12% year-over-year, although excluding the tech sector, growth is only 3%, indicating resilience in corporate performance amid economic recovery and providing market support.
- Airline Stocks Soar: With reduced fuel costs, Alaska Air Group and United Airlines surged by over 14% and 11%, respectively, demonstrating the positive impact of falling oil prices on the airline industry, which could enhance profitability for related companies.
See More
Cerebras Initiates IPO Process with S1 Filing
- IPO Process Initiation: Cerebras plans to file its S1 on Friday, officially starting the IPO process, which signifies the company's further development and financing opportunities in the AI chip market.
- Cloud Service Expansion: Beyond selling chips, Cerebras operates its own data centers to provide cloud services, with plans to deliver up to 750 megawatts of computing power to OpenAI by 2028 under a contract valued at over $10 billion, showcasing its strong capabilities in the AI sector.
- Funding and Valuation: Prior to withdrawing its IPO application, Cerebras successfully raised $1.1 billion in September, achieving a valuation of $8.1 billion, reflecting the market's high regard for its technology and growth potential.
- Intensifying Market Competition: As AI technology rapidly evolves, Cerebras faces fierce competition from companies like Nvidia and AMD; however, its large-scale processors' high-speed capabilities provide a unique competitive edge in meeting user demands.
See More
Cerebras Plans Initial Public Offering
- IPO Filing Plan: Cerebras is set to file for an initial public offering on Friday, which is expected to attract investor interest, particularly against the backdrop of rapid growth in the AI sector, potentially enhancing the company's valuation.
- Funding Support: In a funding round announced in September, Cerebras was valued at $8.1 billion, while OpenAI plans to spend over $20 billion on Cerebras products in the coming years, indicating strong market demand for its technology.
- Cloud Service Transformation: Cerebras has begun operating its chips within its own data centers to provide cloud services, with plans to deliver up to 750 megawatts of computing power to OpenAI by 2028 under a contract valued at over $10 billion, further solidifying its market position.
- Investor Interest: As AI companies like Anthropic and OpenAI consider going public, Cerebras's IPO plans may spark retail investor interest, especially following a drought in IPOs in 2022, indicating a rising demand for large tech companies.
See More
