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HomeArtificial IntelligenceOpinion: This Artificial Intelligence (AI) Semiconductor Stock Could Become the Most Important...

Opinion: This Artificial Intelligence (AI) Semiconductor Stock Could Become the Most Important Chip Company (Hint: It’s Not Nvidia)


It’s no secret that there has been a huge demand for semiconductor chips in recent years. As companies continue to figure out how artificial intelligence (AI) can bring a new wave of efficiency to the workplace, chips will remain a critical part of infrastructure.

Within the chip world Nvidia sits atop the throne thanks to best-in-class graphics processing units (GPUs). Nevertheless, I’ve raised some concerns about Nvidia’s position as the de facto leader in chips, as many other companies (some of which are Nvidia’s own customers) are trying to bring their own lines of GPUs to market.

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In my opinion, Micron technology (NASDAQ:MU) has a chance to become the most important chip company in the long term. Below, I’ll outline Micron’s unique position in the semiconductor landscape and explore why I think this is a great opportunity to buy the stock hand over fist.

While you may know Micron as a leading chip company, I wouldn’t be surprised if you don’t know what the company actually does.

Semiconductors have countless applications, and many chip players play unique roles within the broader industrial capabilities. Simply put, Micron specializes in memory and storage solutions.

Memory is a critical part of chip architecture, especially as it relates to generative AI development and data center infrastructure.

Image source: Getty Images.

Memory chips help with storage and data management on hardware devices, such as personal computers or server racks. When it comes to AI development, training models require the ability to process large data sets and complex algorithms in a time-efficient manner. This is where Micron comes into play, as the company’s products help transfer data between memory and processing functionality.

Let’s look at a few examples of how demand for chip memory solutions should increase in the coming years.

For starters, big tech is expected to invest $1 trillion in IT infrastructure in the coming years, according to Wedbush Securities analyst Dan Ives. One area where I suspect will continue to see robust investment activity is the development of large language models (LLMs).

Training these models and building out more features requires a continuous data feed that must be processed and analyzed quickly. Micron’s memory and storage expertise will certainly come in handy here.



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