11 Best Semiconductor Stocks To Invest In for the AI Boom

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In this piece, we will take a look at the 11 best semiconductor stocks to invest in for the AI boom. If you want to skip our introduction covering how without the semiconductor industry, and how it's essential to the development of artificial intelligence, then you can skip ahead to the 5 Best Semiconductor Stocks To Invest In for the AI Boom.

Earlier this year, OpenAI's co founder and chief executive officer Sam Altman demonstrated his ability to remain in the news after he estimated that the total funding required to build an independent supply chain of semiconductors to fund all possible use cases for artificial intelligence could require $7 trillion in capital. Altman's talk with investors in the UAE reported by the Wall Street Journal involved his vision of a massive boost to global chip making foundries, energy, data centers, and other infrastructure required to sustain the demand for graphics processing units (GPUs) needed to fund artificial intelligence applications all over the world.

While $7 trillion is more money than the annual economic output, or the GDP, of several countries, similar figures have been common in the semiconductor industry these past couple of months. In fact, it was semiconductor stock NVIDIA Corporation's (NASDAQ:NVDA) founder and CEO Jensen Huang who stated during the firm's earnings call for the second quarter of its previous fiscal year:

The world has something along the lines of about $1 trillion worth of data centers installed, in the cloud, in enterprise and otherwise. And that $1 trillion of data centers is in the process of transitioning into accelerated computing and generative AI. We’re seeing two simultaneous platform shifts at the same time. One is accelerated computing. And the reason for that is because it’s the most cost-effective, most energy effective and the most performant way of doing computing now. So what you’re seeing, and then all of a sudden, enabled by generative AI, enabled by accelerated compute and generative AI came along. And this incredible application now gives everyone two reasons to transition to do a platform shift from general purpose computing, the classical way of doing computing, to this new way of doing computing, accelerated computing.

Huang and Altman's comments show that at least when some of the most influential persons in the high computing and semiconductor design industries are concerned, the global semiconductor industry can grow by the trillions of dollars.

In fact, on the day that Huang made the comments, NVIDIA's shares were trading in the $450 - $460 range, and had you believed him when he'd said that artificial intelligence and the broader advances in data center computing carry the potential to take his firm to new financial heights and bought NVIDIA's stock, then your investment would have delivered a price appreciation of roughly 45%.