Which Companies Are Actually Included in Data Center Stocks?

Simply put, data center stocks are not an official industry classification, but a market term for a basket of companies that benefit from the wave of AI and cloud data center construction^[1]. It spans multiple different industries, such as cloud giants (Microsoft, Google), data center REITs (Equinix, Digital Realty), power utilities (Constellation Energy), semiconductors (Nvidia), server hardware (Dell), and networking and optical modules (Arista).

Think of 'data center construction' as a large urban development project. These companies are like different players in that project: there are 'developers' who handle overall planning (cloud giants), 'landlords' who provide the land (REITs), 'power companies' who supply electricity, 'suppliers' who provide building materials and equipment (chips, servers, network gear), and 'leasing companies' who rent out equipment (Neoclouds). They all benefit from the same thing—more and more data centers being built—but they make money in completely different ways.

So, when you buy a 'data center stock,' you might be buying a chip company, a power plant, or even a 'landlord' REIT. This classification is more like a 'theme' than an 'industry,' so before investing, you need to carefully understand what each company actually does to judge whether it truly benefits and to what extent.

What Is the Logic Behind How Data Center Stocks Benefit?

The starting point of the benefit logic is the capital expenditure (Capex) of cloud giants. Capex can be understood as 'construction investment'—like a company deciding how much to spend on building new factories and buying new equipment. For cloud giants, this money is mainly used to build data centers and purchase servers and chips. For example, Microsoft guided in its FY2026 Q4 earnings that its 2026 calendar year capital expenditures and finance leases would be about $175 billion, with roughly two-thirds going to short-cycle assets like CPUs/GPUs and the rest to data center buildings themselves^[2]. Short-cycle assets refer to equipment that is replaced quickly and has a shorter useful life, like chips and servers, while the buildings themselves are long-term assets. Alphabet, Google's parent company, also raised its full-year capital expenditure guidance to $195 billion-$205 billion in Q2 2026, with about 60% going to servers and 40% to data centers and network equipment^[3].

According to statistics, the combined capital expenditures of Google, Amazon, Microsoft, and Meta in 2026 are expected to total about $725 billion, up about 77% from roughly $410 billion in 2025^[4]. This huge sum eventually flows to chip makers, server vendors, power companies, and REITs—this is the 'water source' for the entire supply chain. Think of capital expenditures as a river: upstream are the tech giants, who 'sprinkle' the money down, and downstream are the various suppliers, like farmland along the river, which need irrigation to grow. Without this money, the entire supply chain would dry up.

Therefore, when following data center stocks, the first thing to watch is the capital expenditure plans of these giants. If they announce increased investment, it usually means the performance of companies in the supply chain may improve; conversely, if they cut investment, it could bring pressure.

What Is the Difference Between Data Center REITs and Ordinary Tech Stocks?

Data center REITs play the role of 'landlord' in the benefit chain. A REIT (Real Estate Investment Trust) is a company that invests specifically in real estate. Unlike ordinary companies, it cannot freely use its profits; it must distribute most of its earnings to shareholders. Under U.S. federal tax law, a REIT must distribute at least 90% of its taxable income to shareholders as dividends to qualify for tax exemption at the corporate level^[5]. In other words, when a REIT makes money, it must give at least 90% of it to shareholders, keeping very little for itself. Therefore, REITs typically have higher dividend yields and are more like a 'rent-collecting' business than a high-growth tech stock.

For example, if you buy an ordinary tech stock, the company might reinvest its profits in R&D or expansion, and the stock price might rise. But a REIT is more like a 'landlord': it rents out data centers to customers, and most of the rent it collects is directly distributed to you. So your return mainly comes from dividends, not from big stock price gains.

The two largest data center REITs globally are Equinix and Digital Realty. Equinix raised its full-year revenue guidance for the second consecutive quarter after Q2 2026 earnings, to 11%-12% year-over-year growth. The company said this was the largest single guidance raise in its history, directly reflecting accelerating AI infrastructure demand^[6]. This shows that even a 'rent-collecting' business can benefit from the AI wave, because customers need more data centers to house their servers.

Why Are Power Stocks Also Considered Data Center Stocks?

Electricity has become a new bottleneck for data center expansion. Data centers are 'electricity hogs'—servers and cooling systems all require massive amounts of power. A 2024 report from the U.S. Department of Energy's Lawrence Berkeley National Laboratory (LBNL) showed that U.S. data center electricity consumption accounted for about 4.4% of total U.S. electricity use in 2023, and is projected to rise to 6.7%-12% by 2028^[7]. This percentage may seem small, but it is growing rapidly, and data centers are often concentrated in specific regions, which can put enormous pressure on local grids. The International Energy Agency (IEA) also estimates that global data center electricity consumption will rise from about 415 terawatt-hours in 2024 to about 945 terawatt-hours in 2030, with AI-accelerated servers' electricity consumption growing at an annual rate of about 30%^[8]. A terawatt-hour is a huge unit of electricity—imagine a city's annual electricity use. AI servers are especially power-hungry because GPU chips have high power requirements.

So, companies like Constellation Energy, which signed a 20-year power purchase agreement with Microsoft and restarted the Three Mile Island nuclear plant specifically to power AI data centers, are also classified as data center stocks^[9]. This is like in a gold rush: besides the gold miners, the people selling water and shovels also make money. Power companies are the 'water sellers'—data centers can't function without electricity, so as power demand surges, power stocks naturally benefit.

Why Do Semiconductors and the 'Shovel Seller' Segment Benefit Most Directly?

Semiconductors/AI chips are one of the most direct beneficiaries of data center construction. Nvidia's data center revenue in Q1 FY2027 reached $75.1 billion, up 92% year-over-year, accounting for the vast majority of the company's total revenue^[10]. This is because AI training and inference require massive amounts of GPU chips, and Nvidia is the main supplier, so its performance growth has been remarkable. In addition, power equipment and cooling (like Vertiv), server systems (like Super Micro, Dell), and networking and optical modules (like Arista Networks) form the 'shovel seller' camp. For example, Vertiv reported Q2 2026 net sales of $3.274 billion, up 24% year-over-year, and raised its full-year guidance to about $14 billion in sales^[11].

These companies don't own data centers themselves, but they make money by selling equipment and services, just like the shovel sellers in a gold rush. Not every gold miner strikes gold, but the shovel sellers are sure to make money. Data center construction requires a lot of servers, cooling systems, and network equipment, and these 'shovel sellers' benefit from the construction regardless of which data center ultimately succeeds.

However, it's also important to note that these companies' performance can be volatile because their revenue is highly dependent on the capital expenditure cycle. If the giants cut investment, orders may decline.

What Is the Difference Between Neoclouds and Traditional Cloud Providers?

Neoclouds (like CoreWeave, Nebius) are the most highly leveraged players in the data center stock space. They sign multi-year 'take-or-pay' compute contracts with cloud providers/AI companies, then use those contracts to borrow money to build data centers. Their business is essentially 'renting out GPU compute,' not offering a comprehensive cloud platform^[12].

Think of it this way: traditional cloud providers (like AWS, Azure) are like large shopping malls—they build the space, then attract tenants and offer various services. Neoclouds are more like companies that rent out 'high-end equipment.' They first sign long-term leases with customers (say, 5 years), then take those leases to the bank to get loans, buy a large number of GPUs, and rent them out to customers. The advantage of this model is that once a contract is signed, future revenue is secured. But the downside is that if customers default or demand drops, the company still has to repay its debt, which puts a lot of pressure on it.

This model grows extremely fast when AI demand is strong, because AI companies need massive compute but can't afford or don't want to buy it themselves, so they rent GPUs from Neoclouds. However, if demand falls short of expectations, high leverage and long-term contracts can lead to significant financial strain, or even a cash flow crisis.

What Are the Risks of Data Center Stocks?

One risk is overcapacity. Data center REITs explicitly list 'overcapacity due to demand falling short of expectations' as a major risk factor in their latest 10-K filings (the annual report that U.S. listed companies must submit to the SEC), including customer self-building/consolidation of data centers and industry downturn, which could lower occupancy rates and rental levels^[13]. In other words, if all companies frantically build data centers but demand doesn't materialize, there will be 'vacancies,' rents will fall, and REIT revenue will decline.

Another risk is the 'circular financing' controversy—there are extensive cross-investments and cross-purchases of compute/chips among companies like Nvidia, OpenAI, Oracle, Microsoft, and CoreWeave. Critics worry this structure may artificially inflate real demand, and it is a core point of contention in the current 'AI/data center bubble' debate^[14]. For example, Company A invests in Company B, and Company B uses that money to buy chips from Company A. Both companies' revenues grow, but actual demand may not be as high—it's like 'left hand passing to right hand,' artificially inflating prosperity. If these concerns materialize, they could trigger a market correction of overvalued stocks.

Therefore, when investing in data center stocks, you can't just look at the growth story. You also need to consider whether demand is real, whether finances are healthy, and whether there are risks of excessive leverage and cross-transactions.