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3 Straightforward AI Stocks to Buy Now

3 Straightforward AI Stocks to Buy Now

Artificial intelligence (AI) stocks have been among the market’s strongest drivers this year. However, given that the AI ​​trend still seems to be in its early stages, it looks like some of it could continue to help drive the market higher next year.

These three AI stocks in particular are all trading at reasonable valuations and look like smart buys right now.

Nvidia (NASDAQ:NVDA) has been the biggest winner in AI infrastructure expansion as its graphics processing units (GPUs) are the preferred chips for data centers, which they use for their computational processing needs for training large language models (LLMs) and running AI inference. As AI models continue to develop, they require more and more computing power. For example xAI and Metaplatforms Both used ten times as many GPUs to train their latest LLMs as their previous versions.

It’s this continued need for exponentially more computing power, as well as the big lead the company has created with the help of its CUDA software platform, that currently makes Nvidia a buy. CUDA was originally designed to make it easier for developers to program their GPUs for purposes beyond accelerating graphics rendering in video games for which they were originally designed. This led to CUDA becoming the standard platform on which developers learned to program GPUs, which contributed to NVIDIA’s lead.

With AI infrastructure spending not expected to increase until 2025 and beyond, Nvidia still has a big opportunity ahead of it. The stock is now attractively valued with an expected price-earnings ratio (P/E) of around 31.5 based on analyst estimates for 2025 and a price-earnings-growth ratio (PEG) of around 0.98. A stock with a positive PEG ratio below 1 is usually considered undervalued, but growth stocks often have a PEG ratio well above 1.

Today, many chipmakers use a fabless model, meaning they design chips but then outsource manufacturing to third parties. The reasons for this are simple. Building chip production facilities (also called fabs or foundries) is capital intensive (it costs a lot of money), and for a foundry to be profitable, it must be operated at maximum capacity, if possible. Producing chips for multiple customers helps these companies keep their foundries busy. The production of chips also requires a high level of specialist knowledge and, in many cases, adaptation to the latest technologies, which continue to reduce chip sizes and increase wafer sizes.

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