Amazon Joins AI Stocks in Investment Portfolio
Written by Emily J. Thompson, Senior Investment Analyst
Updated: May 23 2026
0mins
Source: Yahoo Finance
- Portfolio Update: Amazon was added to the SwingTrader portfolio on Thursday, indicating its ongoing market appeal and is expected to further enhance its stock performance.
- Industry Leaders: Cadence Design Systems and GE Vernova were also included, with the former's design software playing a crucial role in advanced semiconductors and the latter's gas turbines powering data centers, highlighting a focus on technology and energy sectors.
- Excellent Ratings: Both Amazon and Cadence Design Systems received an IBD Composite Rating of 98 out of a possible 99, reflecting their strong competitiveness and investor confidence in the industry.
- Market Trends: As the AI and semiconductor sectors rapidly evolve, the inclusion of these stocks may attract more investor attention, further boosting market enthusiasm in these areas.
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Analyst Views on AMZN
Wall Street analysts forecast AMZN stock price to rise
44 Analyst Rating
41 Buy
3 Hold
0 Sell
Strong Buy
Current: 237.500
Low
175.00
Averages
280.01
High
325.00
Current: 237.500
Low
175.00
Averages
280.01
High
325.00
About AMZN
Amazon.com, Inc. provides a range of products and services to customers. The products offered through its stores include merchandise and content it has purchased for resale and products offered by third-party sellers. The Company’s segments include North America, International and Amazon Web Services (AWS). It serves consumers through its online and physical stores and focuses on selection, price, and convenience. Customers access its offerings through its websites, mobile apps, Alexa, devices, streaming, and physically visiting its stores. It also manufactures and sells electronic devices, including Kindle, Fire tablet, Fire TV, Echo, Ring, Blink, and eero, and develops and produces media content. It serves developers and enterprises of all sizes, including start-ups, government agencies, and academic institutions, through AWS, which offers a set of on-demand technology services, including compute, storage, database, analytics, and machine learning, and other services.
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.
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- Custom Chip Revenue: Amazon's custom chips now generate over $20 billion in annual revenue, up nearly 40% from the previous quarter, enhancing its cost control in cloud services and laying a foundation for future profit growth.
- Capital Expenditure Plans: Amazon plans to invest approximately $200 billion in capital expenditures by 2026, which will pressure short-term free cash flow; however, the company believes this investment is essential for long-term growth, particularly in AWS and AI.
- Optimistic Market Outlook: Despite facing market volatility and rising costs, Amazon's cloud platform remains the largest globally, with a backlog of $364 billion, indicating strong market demand and significant growth potential ahead.
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- AI Optimization: The new instances are designed for the demands of agentic AI, featuring 192 cores and a 5x larger L3 cache, supporting DDR5-8800 memory and PCIe Gen 6, enabling acceleration of machine learning inference and database performance by up to 30%.
- Architectural Efficiency: Built on 3nm technology, the new architecture achieves a 33% reduction in inter-core latency and increases network and storage bandwidth, ensuring high performance and energy efficiency under heavy workloads.
- Enhanced Security: The introduction of the Nitro Isolation Engine through the sixth-generation AWS Nitro System employs formal verification and mathematical proofs to ensure strict isolation between virtual machines, protecting customer data from unauthorized access and further solidifying AWS's position in sensitive sectors like government and finance.
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- Booming AI Chip Business: Amazon's custom AI chip business is experiencing triple-digit year-over-year growth, further enhancing its competitive edge in AI infrastructure, which could yield substantial returns for shareholders.
- Microsoft's AI Expansion: Microsoft's integration of AI has propelled its productivity software business to $37 billion, growing at a remarkable 123%, while Azure's revenue rose 40% in the latest quarter, reflecting strong demand for AI computing.
- Long-Term Investment Potential: As AI workloads increase, both Amazon and Microsoft's cloud computing businesses are set to generate stable revenue streams, and combined with their robust core business performance, these companies represent ideal investment opportunities for the next 20 years.
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- AI Chip Business: Amazon's custom AI chip business grew at a triple-digit year-over-year pace, enhancing its competitive edge in AI infrastructure, with CEO Andy Jassy noting a $200 billion investment in infrastructure this year, which is expected to yield substantial returns for shareholders.
- Microsoft's AI Integration: Microsoft's integration of AI capabilities into its productivity software has created a $37 billion business growing at 123%, while Azure's revenue rose 40% in the latest quarter, reflecting sustained demand for AI computing.
- Long-Term Profit Potential: As AI becomes more integrated into daily life and business workflows, Amazon and Microsoft are poised to be major beneficiaries, making them ideal investment choices for the next 20 years, bolstered by their strong core business performance.
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- Operational Losses: The company reported an operational loss of $2.59 billion in 2025 and a further loss of $1.94 billion for Q1 2026, yet some investors remain optimistic about its growth potential, particularly from the expansion of its Starlink network.
- Light Pollution Challenges: By the end of 2025, SpaceX had launched 9,600 Starlink satellites, representing 75% of active maneuverable satellites, but increasing light pollution poses significant challenges for future AI satellite deployments.
- Future Goals: SpaceX aims to achieve an annualized orbital AI compute capacity of 1 terawatt by 2030, despite facing challenges related to light pollution and energy bottlenecks, necessitating close attention to how it addresses these issues for sustained long-term growth.
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- Financial Losses: SpaceX reported an operational loss of $2.59 billion in 2025 and $1.94 billion in Q1 2026, indicating that while the company has significant future growth potential, it currently faces severe financial challenges.
- Satellite Deployment Plans: The company aims to achieve an annualized AI compute capacity of 1 GW by the end of 2027, scaling to 1 TW by 2030, but this ambitious goal is hindered by light pollution and energy bottlenecks.
- Light Pollution Concerns: The plan to deploy AI compute satellites in sun-synchronous orbit could lead to significant light pollution, adversely affecting astronomical research and potentially provoking public backlash.
- Simplified Technology: Unlike Starlink satellites, the AI satellites are expected to have a simpler design with a wingspan of 70 meters and a height of 20 meters, aiming to reduce production costs and enhance operational efficiency.
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