Best Data Center Stocks 2026: Riding the AI Buildout

Every big AI model needs thousands of high-end chips running 24/7, and those chips need somewhere to live: data centers. These are essentially highly specialized warehouses full of servers, networking gear, backup power and advanced cooling. The more AI grows, the more square footage, power, and cooling capacity these buildings need.

Over the last year, demand has shifted from traditional cloud workloads to power‑hungry AI clusters, which can require 5–10x more power per rack than a typical enterprise setup.^[1] That’s forcing operators to expand fast and upgrade older facilities. Many large cloud and tech companies are signing long-term leases or joint projects with data center owners to secure capacity through 2027 and beyond.^[1]

On recent earnings calls in early 2026, several major operators highlighted record AI-related leasing pipelines and constraints not on demand, but on power availability and construction timelines.^[1] This is why investors have been so focused on companies that either own AI-ready campuses or supply critical pieces like liquid cooling, power distribution, and networking gear.

For everyday investors, the space roughly breaks into three buckets:

• Data center REITs – companies that own and lease out data centers (often with steady dividends).
• Colocation and edge players – focused on highly connected sites and regional locations.
• Suppliers – power, cooling, and networking companies selling into this boom.

Let’s walk through some of the more widely followed names in each bucket so you can see where AI demand might show up in actual companies and tickers.

Digital Realty (DLR) is one of the largest global data center landlords, with over 300 data centers in more than 25 countries.^[1] It mainly rents space and power to cloud providers, telecoms, and enterprises. In its Q1 2026 update, Digital Realty pointed to strong AI leasing across North America and Europe and highlighted that power constraints, not demand, are the main bottleneck for growth.^[1] Management has been prioritizing large “campus” projects where they can add power in phases as customers ramp up AI workloads.^[1]

As a REIT, Digital Realty focuses on recurring rent and long-term leases, and it pays a regular dividend. For 2026, analysts are watching:

• How quickly DLR can bring new capacity online.
• Whether AI-driven customers are willing to pay higher rates for high‑power space.
• Leverage levels, since building new campuses requires heavy upfront spending.^[1]

Equinix (EQIX) is another heavyweight, with more than 260 data centers and a reputation for being a key “meeting point” for networks, clouds, and enterprises.^[1] While Equinix also benefits from AI, a big part of its edge is interconnection – it hosts many different networks and platforms in the same facilities, which makes it valuable real estate for companies that need fast, reliable links.

In late 2025 and early 2026, Equinix reported solid demand tied to AI and cloud expansions, and continued growth in its interconnection business.^[1] Investors watching EQIX in 2026 often focus on:

• Growth in high‑power deployments for AI workloads.
• Pricing power on highly connected sites.
• The balance between capex (new builds and upgrades) and free cash flow.^[1]

Both DLR and EQIX are widely followed “core” data center names that many investors use as a starting point when researching the AI infrastructure theme, especially if they want exposure through real estate and lease income rather than chip makers.

Iron Mountain (IRM) may be better known for storing physical records, but over the past few years it has quietly built a growing data center platform, branded Iron Mountain Data Centers.^[1] The company focuses on colocation – renting out space, power, and cooling – and often highlights the security and compliance angle that appeals to large enterprises and governments.

In its 2025 year-end and early 2026 commentary, Iron Mountain noted strong demand for high‑density, AI‑ready deployments and laid out plans to expand capacity in key U.S. and European markets through 2027.^[1] Because IRM still earns a big chunk of revenue from its legacy storage business, many investors look at it as a hybrid story: steady cash flow from records storage plus faster growth from data centers.

Things investors tend to track for IRM in 2026 include:

• How fast data center revenue is rising as a share of the total.
• New development projects and pre‑leasing levels.
• The company’s ability to secure sufficient power for AI customers in tight markets.

CyrusOne (CONE) used to trade as a public REIT but was taken private in 2022 by KKR and Global Infrastructure Partners.^[1] While you can’t buy CONE shares on the stock market today, CyrusOne still matters as a competitor. Its large AI‑focused campuses in places like Texas and Northern Virginia influence pricing and capacity in those markets.^[1]

For public investors, the lesson from CyrusOne’s take‑private is that big institutions clearly see long‑term value in scale data centers. Keeping an eye on private players like CyrusOne can help you understand competitive pressure on listed companies like DLR, EQIX, and IRM, especially when it comes to winning large AI campus deals.

AI chips don’t just need racks; they need huge amounts of power and serious cooling. That’s where suppliers like Eaton, Vertiv, and Trane come in.

Eaton (ETN) sells electrical gear like switchgear, power distribution units, and backup systems that are critical for modern data centers.^[1] In late 2025 and early 2026, Eaton reported double‑digit growth in its electrical segment, driven partly by data center and AI projects.^[1] Management has talked about multi‑year visibility from large customers building AI capacity, with orders stretching out several years.

Investors watching ETN typically focus on:

• Backlog growth tied to data centers and grid upgrades.
• Margins in the electrical segment as high‑value AI projects ramp.
• How quickly Eaton can increase manufacturing to keep up with demand.^[1]

Vertiv (VRT) is a more “pure play” data center supplier, specializing in power management, thermal (cooling) systems, and racks.^[1] Its liquid cooling and advanced power products are directly aimed at AI clusters that run hotter and denser than traditional servers. Vertiv’s stock drew attention in 2025 after strong results and raised guidance, helped by AI-related orders.^[1] Early 2026 commentary continues to emphasize AI and high‑density deployments as major growth drivers.

Key things investors monitor with VRT:

• Growth in orders for liquid cooling and high‑density solutions.
• Whether supply chain or manufacturing capacity slows deliveries.
• Profit margins as Vertiv shifts to more specialized, higher‑value products.^[1]

Trane Technologies (TT) isn’t a data center pure play, but its HVAC and cooling systems are used in advanced facilities, including some AI builds.^[1] As rack power goes up, traditional air cooling often isn’t enough, which opens doors for more sophisticated solutions.

Together, ETN, VRT, and TT give investors a way to research the “picks and shovels” side of the AI data center boom – the gear that keeps the lights on and the chips from overheating.

All that AI compute is useless without fast pipes to move data around. Network switches, routers, and long‑haul fiber are another key piece of the AI buildout.

Arista Networks (ANET) makes high‑speed switches that are widely used in cloud data centers and AI clusters.^[1] Its products help connect thousands of servers with extremely low delay, which is essential when you’re training AI models across many chips at once. In its latest updates through early 2026, Arista has highlighted strong demand from cloud and AI customers, and has been working on products tailored for AI networking fabrics.^[1]

Investors tend to focus on:

• Revenue growth from cloud and AI customers specifically.
• How quickly AI-focused products ramp compared with more traditional networking gear.
• Competition from larger players in high‑end switching.^[1]

On the fiber side, Lumen Technologies (LUMN) operates a large long‑haul and metro fiber network across the U.S. and internationally.^[1] Its footprint connects many data center regions, and upgrades to support higher capacities are important as AI traffic grows. In 2025 and early 2026, Lumen has been restructuring and focusing more tightly on its core network business while dealing with a heavy debt load.^[1]

For investors, Lumen is a reminder that infrastructure alone isn’t enough – balance sheets and strategy matter. While its network is a valuable asset for the AI era, the company’s financial leverage and competitive pressures are key parts of any research.

Putting it together, networking names give you a lens into how AI demand shows up in data traffic and connectivity, not just servers and buildings.

If you want to dig deeper into the best data center stocks for the AI buildout, it helps to have a simple checklist rather than trying to read every headline.

For REITs like DLR, EQIX, and IRM, key things to look at:

• Occupancy and leasing activity: Are they signing large AI or cloud deals, and at what power density?^[1]
• Development pipeline: How much new capacity (in megawatts of power) is under construction, and when does it come online?^[1]
• Balance sheet: Because building data centers is expensive, check debt levels and interest costs in the latest 10‑K/10‑Q filings.

For suppliers like ETN, VRT, TT, ANET, focus on:

• Segment breakdown: Look for comments in earnings presentations or transcripts that specifically mention data center or AI demand.^[1]
• Backlog and book‑to‑bill: These tell you whether orders are outpacing current sales.
• Capital spending trends from major customers (large cloud and tech companies) that ultimately buy the gear.^[1]

Practical steps you can take from your laptop:

• Go to each company’s Investor Relations page and download the most recent quarterly presentation and earnings call transcript.
• Skim for words like “AI,” “data center,” “high‑density,” “liquid cooling,” or “hyperscale.”
• Compare what management said three or four quarters ago to what they’re saying now – is AI just a buzzword, or are you seeing real numbers and booked projects?

By approaching this theme with a simple framework – REITs, colocation, power/cooling, and networking – you can turn a complex AI story into something you can track over time instead of chasing the latest headline.