12 Best Artificial Intelligence Stocks to Buy Now According to Wall Street Analysts

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In this piece, we will take a look at the 12 best artificial intelligence stocks to buy now according to Wall Street analysts. If you want to skip our coverage of the latest developments in the artificial intelligence scene, then you can skip ahead to 5 Best Artificial Intelligence Stocks to Buy Now According to Wall Street Analysts.

As companies are reporting their financial results for the first quarter of 2024, artificial intelligence once again appears to be one of the leitmotifs of the current earnings season. While the data for the current earnings season is unavailable, FactSet estimated that out of 179 companies that had earnings calls between December 15 and March 15, the term AI was mentioned on average 13 times. The tally of 179 marked the second highest for the term "AI" in the transcripts over the course of the past ten years, and was just three shy of the current record of 181 set during Q2 2023.

Within that dataset, NVIDIA Corporation (NASDAQ:NVDA) led the pack, as it mentioned the term AI 114 times during the company’s latest earnings call. The chip maker, known for its GPUs, has seen a significant boost in its stock price on the back of strong demand for semiconductors that power various AI applications. Its shares are up by a cool 216% since May 2023, after CEO Jensen Huang shared that he foresaw a the need for a "trillion dollars of installed global data center infrastructure" to transform computing from "general purpose to accelerated."

Since then, NVIDIA's CEO, who is widely credited by the industry to have lead the development of GPU-accelerated computing applications such as medical imaging, reiterated his estimates of the AI industry. The latest on this front came in February 2024, when at the World Government Summit, Huang not only elaborated on his vision for accelerated computing but went on to stress that continued advancement of processors to fuel AI use cases will be energy efficient as well. According to him:

"So now, we're in the beginning of this new era. And what's going to happen is, there's about a trillion dollars worth of installed base of data centers around the world. And over the course four, five years, we'll have two trillion dollars worth of data centers that will be . .uh. . powering software around the world. And this architecture for accelerated computing is ideal for this next generation of software called generative AI. So that's really at the core of what is happening. While we're replacing the installed base, of, general purpose computing, remember that the performance of the architecture is going to be improving at the same time. So, you can't assume, just that you will buy more computers; you have to also assume that the computers are going to become faster.