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AI Stocks
Building an AI-Centric Portfolio: Our Top-10 Picks for 2024
Building a robust AI-centric portfolio requires a careful selection of companies that are deeply entrenched in the AI ecosystem. In this portfolio, we find NVIDIA (NVDA) as a leader in AI hardware, Microsoft (MSFT) providing AI services through Azure, AMD (AMD) offering cost-effective AI hardware alternatives, and ARM providing energy-efficient chip designs for edge AI devices. Google (GOOGL) is at the forefront of AI research with its TPUs and Google Cloud AI. Synopsys (SNPS) plays a crucial role in semiconductor design for AI chips, while Super Micro Computer (SMCI) offers essential server and storage solutions. Data warehousing and analytics are handled by Snowflake (SNOW), and Palantir Technologies (PLTR) provides data integration and analytics platforms for AI-driven decisions. Datadog (DDOG) ensures monitoring and analytics, particularly in AIOps. These companies represent diverse facets of the AI landscape, making them appealing options for investors looking to capitalize on AI's transformative power.
August 30, 2023
AI Stocks

As artificial intelligence (AI) continues to revolutionize industries, investors are increasingly interested in building portfolios that capitalize on the growth of AI-related companies. In this article, we will explore ten prominent AI-related companies, referencing their ticker symbols, and delve into how they are related to AI, the roles they play in the AI ecosystem, and why they may be attractive options for inclusion in an AI-centric portfolio.

1. NVIDIA Corporation (NVDA)

Ticker Symbol: NVDA

NVIDIA is synonymous with AI hardware, offering high-performance GPUs (Graphics Processing Units) optimized for AI and deep learning applications. Its GPUs power AI research, autonomous vehicles, and data center operations, making it a key player in AI infrastructure.

2. Microsoft Corporation (MSFT)

Ticker Symbol: MSFT

Microsoft's Azure cloud platform provides robust AI services, including Azure Machine Learning and Azure Cognitive Services. The company's AI capabilities span a wide range of applications, from natural language processing to computer vision.

3. Advanced Micro Devices, Inc. (AMD)

Ticker Symbol: AMD

AMD's GPUs and CPUs, including the Radeon Instinct and EPYC processors, are gaining traction in AI. They offer competitive performance and cost-effectiveness for AI workloads, making AMD a strong alternative to NVIDIA.

4. ARM Holdings  (ARM)

Ticker Symbol: ARM

ARM's energy-efficient chip designs are widely used in AI edge devices, such as smartphones and IoT devices. As AI extends to the edge, ARM's architecture plays a pivotal role in enabling AI-powered technologies.

5. Alphabet Inc. (Google) (GOOGL)

Ticker Symbol: GOOGL

Google is a frontrunner in AI research and development. Its Tensor Processing Units (TPUs) accelerate machine learning tasks, while Google Cloud AI offers AI-as-a-Service solutions for businesses.

6. Synopsys, Inc. (SNPS)

Ticker Symbol: SNPS

Synopsys provides semiconductor design tools and solutions, crucial for designing AI hardware. Its technology aids in the creation of efficient AI chips.

7. Super Micro Computer, Inc. (SMCI)

Ticker Symbol: SMCI

Super Micro Computer designs and manufactures high-performance servers and storage solutions. These are integral to AI infrastructure, particularly in data centers, where AI models are trained and deployed.

8. Snowflake Inc. (SNOW)

Ticker Symbol: SNOW

Snowflake is a leading data warehousing and analytics platform. As AI relies heavily on data, Snowflake's data management capabilities are invaluable for AI-driven insights.

9. Palantir Technologies Inc. (PLTR)

Ticker Symbol: PLTR

Palantir's software is widely used in AI applications, particularly in the defense, healthcare, and financial sectors. Its data integration and analytics platforms assist organizations in making data-driven AI decisions.

10. Datadog, Inc. (DDOG)

Ticker Symbol: DDOG

Datadog provides monitoring and analytics solutions, including AIOps capabilities. In an AI-centric world, where uptime and performance are crucial, Datadog's services are vital for AI infrastructure.


Building an AI-centric portfolio involves considering a mix of companies that contribute to and benefit from the AI ecosystem. NVIDIA (NVDA), Microsoft (MSFT), AMD (AMD), ARM (SoftBank Group Corp), Google (GOOGL), Synopsys (SNPS), Super Micro Computer (SMCI), Snowflake (SNOW), Palantir Technologies (PLTR), and Datadog (DDOG) all play pivotal roles in the AI landscape.

These companies offer diverse opportunities for investment, ranging from AI hardware to software and data management. Their involvement in AI, coupled with their proven track records and innovative capabilities, makes them attractive choices for investors looking to capitalize on the AI revolution. However, it's essential to conduct thorough research and consider your investment goals and risk tolerance before building an AI-centric portfolio.