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Applied Digital Corporation (APLD): This Data Center Stock is a Good Addition to Your Portfolio Right Now

We recently compiled a list of the 15 Best Data Center Stocks To Buy According to Jefferies, Citi and Wall Street Analysts. In this article, we are going to take a look at where Applied Digital Corporation (NASDAQ:APLD) stands against the other data center stocks.

The boom in the interest surrounding artificial intelligence has not only affected semiconductor stocks, even though they’re the biggest beneficiaries. While the chips that these companies make are indispensable for running AI workloads, they have to be housed somewhere, and this is where data centers come into play.

In fact, for the data center space, AI has only accelerated the growing demand this industry is seeing. Prior to AI GPUs and accelerators, enterprise computing chips made by the same companies that are now making AI chips were seeing hefty demand. This demand led to gaming GPU companies effectively being transformed into enterprise computing firms, with sectors such as the SaaS and cloud computing industries relying on these products. For some SaaS stocks, you should check out 10 Best SaaS Stocks To Buy Now.

This pre AI demand for data centers is visible in statistics too. Data from Jefferies shows that the demand growth for data centers has jumped by between 10% to 20% for the last 15 years, or before AI GPUs hit the market. As expected, AI has accelerated this demand, with the demand for data center space outpacing 30% in most markets for the past two years. This growth in real estate requirements also means that while the computing industry might be able to scale up by providing products like networking gear and cables, tertiary industries like energy generation will take some time to catch up.

If you’re a believer in AI, then the optimistic line of thought would suggest that these tertiary firms will only grow in the future as they scale up their operations to meet the growth in AI data centers. After all, data from Goldman shows that a query made to ChatGPT consumes ten times as much energy as a Google search query – understandable since ChatGPT is parsing through data and drawing insights to generate a response. By 2030, AI is expected to grow data center power demand by as much as 160%, as data centers potentially account for 4% of global energy consumption and Europe in particular needs more than $1 trillion to power its AI grid.

Naturally, since the US is responsible for ushering in AI, AI energy consumption in America is higher than that in other countries. According to the Boston Consulting Group, by 2030, AI power consumption will account for 16% of all of America’s energy use. It is expected to grow by 15% to 20% annually and touch as much as 130 GW, or the amount of electricity that’s used by 100 million homes. AI chip companies are also aware of these trends, with the latest AI chips promising to improve energy efficiency by 25x. Improving AI performance at the semiconductor level is important especially since some areas where data centers are growing are being forced to turn to coal power to reduce the power gap.

Nowhere is this clearer than in Northern Virginia, where data centers process 70% of the world’s internet traffic. With more than 300 data centers that churn out more than $700 million in taxes annually, the region’s computing centers are expected to require a whopping 11,000 megawatts of electricity annually by 2035 according to estimates by the local regulator. This demand has also spurred a $5.2 billion effort to lay down new transmission lines and keep coal power plants open for longer than initially planned.

Not only does AI need real estate and power, but it also needs water. Since energy can neither be created nor destroyed, all the megawatts of power that AI chips need have to go somewhere. For the chips, it is dissipated in the form of heat, and cooling this requires copious amounts of water. Estimates show that not only does training GPT-3 evaporate a whopping 700,000 liters of drinkable water, but global AI demand by 2027 could end up using anywhere between 4.2 billion to 6.6 billion cubic meters of water.

Coming back to real estate, it might be the easiest way for the AI savvy investor to cash in on the world’s thirst for computing. Citi believes that the “development and construction of hyper-scale data center capacity will grow meaningfully over the next 7 years,” as global industrial giants expand into the data center space. Not only are industrial firms actually converting their warehouses into data centers, but Citi adds that the associated power demand for these computing facilities will grow between the mid teens annually until 2030.

So, as these Wall Street firms lay out a maze of industries that will profit from AI, we decided to look at the top data center stocks to buy according to analysts.

Our Methodology

To make our list of the top data center stocks to buy, we ranked the US listed holdings of Global X’s data center ETF and the stocks chosen by Jefferies and Citi by the average analyst share price target percentage upside and picked out the stocks with the highest upside.

For these stocks, we also mentioned the number of hedge funds that had bought the shares in Q1 2024. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).

An overhead view of a large-scale data center with rows of servers and blinking lights.

Applied Digital Corporation (NASDAQ:APLD)

Average Analyst Share Price Target Upside: 130%

Average Analyst Share Price Target: $9.14

Number of Hedge Fund Investors  in Q1 2024: 13

Applied Digital Corporation (NASDAQ:APLD) develops and operates data centers in North America. It operates primarily through two business divisions. One of these caters to cloud computing and the other builds facilities for high performance computing. These allow Applied Digital Corporation (NASDAQ:APLD) to capture all ends of the data center market, and the firm has recently been trimming its operations to shift its business model from being a blockchain company to a data center operator. Applied Digital Corporation (NASDAQ:APLD) also benefits from geography because of its facilities in regions such as North Dakota. These are cooler areas, that could allow it to grow operations in case data center operators turn to nature to manage some of their facilities’ heat generation. Applied Digital Corporation (NASDAQ:APLD) appears confident to operate as much as 900 megawatts of facilities in North Dakota alone.

Applied Digital Corporation (NASDAQ:APLD)’s management commented on this facility during its Q3 2024 earnings call where it shared:

“Furthermore, we made the strategic decision to sell Garden City as it was not compatible with our HPC growth strategy. This divestment enables us to redirect financial and operational resources towards our strategic sites in North Dakota, bolstering our growth initiatives in HPC and cloud service applications.

The decision to sell this facility underscores our commitment to optimizing our asset portfolio while focusing on our core growth areas. As a result of this sale, we will maintain 280 megawatts of data center hosting capacity across our two fully contracted locations in North Dakota. This positions us to be insulated from volatility in the crypto markets leading up to the halving event. Let’s move on to our cloud services business, which provides high performance computing power for AI applications. Despite a lack of significant sequential revenue growth due to delays in clusters entering revenue generation, this segment continues to experience rapid growth, as we advance in fulfilling our existing contracts and exploring new opportunities in our pipeline.

We’ve recently seen positive developments including the enrollment of clients like Together AI and we have exited this quarter with positive momentum. The newly-deployed clusters were turned over to customers late in the quarter, which will provide a significant positive inflection to revenue and EBITDA in our fiscal fourth quarter. Lastly, let me provide an update on our purpose-built HPC data centers. We currently have 400 megawatt of capacity in development across North Dakota, not including the 9 megawatt of capacity we have at our HPC facility in Jamestown to support cloud service customers. During the quarter, we continued to make significant strides in the construction of our 100 megawatt high performance computing facility in Ellendale, North Dakota.”

Overall APLD ranks 2nd on our list of the best data center stocks to buy. While we acknowledge the potential of APLD as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than APLD but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

READ NEXT: $30 Trillion Opportunity: 15 Best Humanoid Robot Stocks to Buy According to Morgan Stanley and Jim Cramer Says NVIDIA ‘Has Become A Wasteland’.

Disclosure: None. This article is originally published at Insider Monkey.

The $250 Trillion AI Hype is Real. A few years from now, you’ll probably wish you’d bought this stock.

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard.

Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences.

At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000.

Do the math. According to Musk, this technology could be worth $250 trillion by 2040.

Put another way, that’s roughly equal to:

  • 175 Teslas
  • 107 Amazons
  • 140 Metas
  • 84 Googles
  • 65 Microsofts
  • And 55 Nvidias

And here’s the wild part — this $250 trillion wave isn’t tied to one company, but to an entire ecosystem of AI innovators set to reshape the global economy.

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Even if that $250 trillion figure sounds ambitious, major firms like PwC and McKinsey still see AI unlocking multi-trillion-dollar potential.

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  • Bill Gates sees artificial intelligence as the “biggest technological advance in my lifetime,” more transformative than the internet or personal computer, capable of improving healthcare, education, and addressing climate change.
  • Larry Ellison — through Oracle, is spending billions on Nvidia chips and partnering with Cohere to embed generative AI across Oracle’s cloud and apps.
  • Warren Buffett — not known for tech hype — says this breakthrough could have a ‘hugely beneficial social impact.

When billionaires from Silicon Valley to Wall Street line up behind the same idea — you know it’s worth paying attention to.

Even as we admire what Tesla, Nvidia, Alphabet, and Microsoft have built, we believe an even greater opportunity lies elsewhere…

But the real story isn’t Nvidia — it’s a much smaller company quietly improving the critical technology that makes this entire revolution possible.

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