My Top 3 Artificial Intelligence (AI) Growth Stocks to Buy Now in 2024 and Hold Long Term | The Motley Fool (2024)

Table of Contents
1. Nvidia 2. Amazon 3. Datadog FAQs

Grand View Research estimates that spending across artificial intelligence (AI) hardware, software, and services will compound at 37% annually through 2030. That creates a significant opportunity for investors. Businesses are racing to improve productivity with predictive insights and automation, and that secular trend should drive many stocks higher in 2024 and beyond.

The most prudent way to capitalize on that trend is to build a basket of AI stocks. Here's why now is a good time to add shares of Nvidia (NVDA -3.24%), Amazon (AMZN 1.24%), and Datadog (DDOG -0.76%) to that basket.

1. Nvidia

Nvidia graphics processing units (GPUs) are the gold standard in running complex data center workloads like artificial intelligence (AI)applications. The company has regularly achieved top scores at the MLPerf benchmarks, the industry standard in benchmarking the performance of machine learning (ML) hardware, software, and services across training and inference use cases. And Nvidia holds more than 80% market share in AI/ML chips, according to analysts.

However, the company is truly formidable because of its full-stack strategy. To elaborate, Nvidia has extended its data center hardware portfolio to include networking equipment and central processing units (CPUs) purpose-built for AI, and both have become multibillion-dollar businesses. The company has also branched into subscription software and cloud services to simplify the development of AI applications, and those products have become a billion-dollar business.

Management sees those three adjacencies -- networking, CPUs, and software and services -- as key growth drivers because they extend its ability to monetize AI. Additionally, with products addressing every layer of the AI stack -- infrastructure, software, and services -- Nvidia is an even more compelling option for businesses. To that end, CFRA analyst Angelo Zino believes its "full-stack AI/software capabilities provide an incredible competitive advantage."

Grand View Research expects the GPU market to grow roughly 28% annually through 2030. When coupled with growth in other AI spending categories, that tailwind could translate into annual sales growth above 25% for Nvidia, which makes its current valuation of 30.9 times sales seem tolerable.

As a caveat, that multiple is a premium to the three-year average of 23.5 times sales, but investors with a five-year time horizon should still consider buying a small position today. Nvidia will probably command a premium valuation for the foreseeable future.

2. Amazon

Amazon operates the largest e-commerce marketplace in North America and Western Europe, and it has become the third-largest ad tech company in the world. The company is using AI to make both businesses more efficient and profitable. For instance, Amazon uses ML models to optimize inventory and logistics routes, and it recently launched a generative AI tool that helps brands create marketing content.

However, Amazon is truly primed to monetize AI because it has a dominant position in cloud computing. Indeed, Amazon Web Services (AWS) accounted for 32% of cloud infrastructure and platform services in the most recent quarter, while its closest competitor, Microsoft Azure, held 23% market share. That means AWS is arguably the cloud provider best positioned to support businesses as they experiment with AI, and its status as a leader in cloud AI developer services makes that argument even more credible.

Additionally, AWS has launched new generative AI products. Amazon Bedrock is a cloud service that supports the development of generative AI applications. And Code Whisperer is an AI-enabled copilot for software developers. The company also announced Amazon Q,a generative AI business assistant that can automate tasks and surface insights across a range of systems and data sources, including external products from Microsoft and Salesforce.

With that in mind, Morningstar analysts expect Amazon to grow sales at 11% annually through 2027, driven by particularly strong momentum in digital advertising and cloud computing. That estimate makes its current valuation of 2.8 times sales seem fair, especially when the three-year average is 3 times sales.

3. Datadog

Datadog provides observability and cybersecurity software that helps businesses monitor IT infrastructure and resolve performance issues. Its platform leans on AI to surface insights, detect anomalies, and automate root cause analysis. Datadog is a recognized leader in several software verticals, including application performance monitoring, log monitoring, and AI for IT operations.

Observability software becomes increasingly essential as IT environments become more complex. That means digital transformation projects, like cloud migration and AI deployment, are tailwinds for Datadog. But the company has further cemented its ability to monetize AI with two new products.

First, LLM Observability is a performance monitoring solution for generative AI applications and the underlying large language models. Second, Bits AI is a conversational copilot that helps development and operations teams investigate and resolve problems more quickly.

Datadog expects its addressable market to increase at 11% annually to reach $62 billion in 2026,but the company should grow much faster. In fact, Wolfe Research analyst Alex Zukin believes Datadog could become the "fastest growing software company" as the generative AI boom unfolds, and the Wall Street consensus calls for sales to increase at 26% annually over the next five years. That outlook makes its current valuation of 20.6 times sales seem reasonable.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors. Trevor Jennewine has positions in Amazon and Nvidia. The Motley Fool has positions in and recommends Amazon, Datadog, Microsoft, Nvidia, and Salesforce. The Motley Fool has a disclosure policy.

My Top 3 Artificial Intelligence (AI) Growth Stocks to Buy Now in 2024 and Hold Long Term | The Motley Fool (2024)

FAQs

What AI stocks will boom in 2024? ›

The Best AI Stocks of August 2024
Company (TICKER)1-Year Return
Nvidia Corporation (NVDA)194%
Meta Platforms, Inc. (META)83%
Arista Networks, Inc. (ANET)81%
Amazon.com, Inc. (AMZN)52%
6 more rows
Jul 1, 2024

Which AI stock is Motley Fool recommending? ›

The Motley Fool has positions in and recommends Palantir Technologies.

What are the top 3 AI stocks to buy now? ›

7 best-performing AI stocks
TickerCompanyPerformance (Year)
PRCTProcept BioRobotics Corp74.89%
AVAVAeroVironment Inc.69.07%
ISRGIntuitive Surgical Inc45.64%
PEGAPegasystems Inc.34.72%
3 more rows
5 days ago

What is the $3 AI Wonder stock? ›

SoundHound AI (SOUN), formerly known as SoundHound, has been teased by a couple folks this year as a low-priced stock with AI exposure — Ross Givens pitched it as the “$3 AI Wonder Stock that Could Make You 75X Richer” in early May, and Jason Williams pitched that that buying the “tiny $2 stock” SOUN in late June would ...

What is the best stock to invest in in 2024? ›

Best S&P 500 stocks as of August 2024
Company and ticker symbolPerformance in 2024
Vistra (VST)105.7%
Howmet Aerospace (HWM)76.8%
General Electric (GE)66.9%
Constellation Energy (CEG)62.4%
6 more rows

What are the top AI stocks in Morningstar? ›

Source: Morningstar Direct. Data as of Jun 27, 2024 . Those stocks are AI giants Nvidia NVDA, Microsoft MSFT, Apple AAPL, Amazon.com AMZN, Meta Platforms META, Alphabet GOOGL/GOOG, and Broadcom AVGO.

What is the most promising AI company? ›

Artificial Intelligence
  1. Amazon Web Services. Amazon Web Services offers AI and machine learning (ML) solutions as part of its suite of services. ...
  2. Anthropic. Anthropic is a newer AI company. ...
  3. C3 AI. C3 AI provides a suite of AI products to help companies make critical business decisions. ...
  4. Databricks. ...
  5. DataRobot. ...
  6. Deep North.
Feb 13, 2024

Which company is leading the AI race? ›

The largest AI company by market cap is Apple, followed by Microsoft, NVIDIA, and Alphabet.

What is the smartest stocks to invest in right now? ›

Sign up for Kiplinger's Free E-Newsletters
Company (ticker)Analysts' consensus recommendation scoreAnalysts' consensus recommendation
UnitedHealth Group (UNH)1.27Strong Buy
Emerson Electric (EMR)1.30Strong Buy
Microsoft (MSFT)1.32Strong Buy
Nvidia (NVDA)1.32Strong Buy
19 more rows

What will AI stock price be in 2025? ›

Long-Term Arlington Asset Investment Stock Price Predictions
YearPredictionChange
2025$ 25.368.32%
2026$ 27.4717.33%
2027$ 29.7627.09%
2028$ 32.2337.66%
2 more rows

Is AI stock a good long term investment? ›

Just about everyone in the investing world, it seems, is bullish on artificial intelligence over the long term. Tech firms, utilities and other companies plan to spend more than $1 trillion on AI infrastructure over the next several years, according to Goldman Sachs analysts.

What stock to buy to invest in OpenAI? ›

Buying Microsoft (NASDAQ: MSFT) is one way you can get exposure to the success of OpenAI, but it's not the only way. It's worthwhile to also look at partnerships and collaborations between OpenAI and other companies, even if they haven't invested directly. You need a brokerage account to buy shares of Microsoft.

What is the AI trend in 2025? ›

Potential future applications

The potential applications of AI are vast and varied. By 2025, we can expect AI to be deeply integrated into many aspects of our lives. Some anticipated applications include: Smart cities: AI will optimise traffic flow, manage energy consumption and improve public safety.

What AI will be in the future? ›

What does the future of AI look like? AI is expected to improve industries like healthcare, manufacturing and customer service, leading to higher-quality experiences for both workers and customers. However, it does face challenges like increased regulation, data privacy concerns and worries over job losses.

What AI will look like in 2030? ›

Becoming “agentic” is the natural and inevitable end state for today's artificial intelligence. Cutting-edge AI systems in 2030 will not just generate output when prompted; they will get stuff done. In other words, “agents” will no longer be one intriguing subfield within AI research, as they are today.

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