2 Top Artificial Intelligence Stocks to Buy in December

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Artificial intelligence (AI) continues to be one of the biggest driving forces in the stock market. While chipmakers and cloud computing companies have been the biggest early beneficiaries, software companies are starting to see nice growth opportunities emerge as well.

That said, the semiconductor sector is still one of the best places to find attractively valued stocks tied to AI. Let’s look at two semiconductor stocks that should see AI help power their growth in December and beyond.

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The biggest AI winner thus far has been Nvidia (NASDAQ: NVDA), which has grown to become the second-largest company in the world. Nvidia originally developed a new type of semiconductor chip called a graphics processing unit (GPU) to help speed up the rendering of graphics in video games and elsewhere. For a long time, this was a niche industry dominated by Nvidia and ATI (which has since been acquired by Advanced Micro Devices).

Nvidia was able to expand the use of GPUs to other industries with the help of its CUDA software platform, which allowed the chips to be programmed to more efficiently handle tasks. This led to more developers learning to program GPUs using CUDA, which led to the developers purchasing Nvidia GPUs to do their work on, creating a virtuous circle and helping create the wide moat the company sees today.

The use of GPUs in cryptocurrency mining became a growth driver for the company back in 2016-2017, but it was the use of GPUs for training large language models (LLMs) and AI inference in beginning in 2021-2022 that led to astronomical growth for Nvidia. Today, Nvidia’s GPUs have become the backbone of the AI infrastructure buildout, and through the wide moat it gained with CUDA, it now holds an approximate 90% market share.

Image source: Getty Images.

Nvidia’s CEO says the current demand for its chips is “insane,” as the world’s top tech companies race to become AI leaders. The biggest risk to the stock is if demand slows. However, Nvidia’s largest customers have by and large expressed plans to continue ramping up AI infrastructure spending to take advantage of what many view as a once-in-a-generation opportunity. Also working in Nvidia’s favor is that in order to improve their AI models, these companies need exponentially more computing power, and thus more GPUs, to train their models on.

Despite its huge gains in the past few years, the stock trades at an attractive valuation. It has a forward price-to-earnings (P/E) ratio of about 33 based on 2025 analyst estimates, and a price/earnings-to-growth (PEG) ratio of approximately 1. A PEG ratio under 1 is usually considered undervalued, but growth stocks will often command PEG ratios well above 1.

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