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AI Power & Data-Center Stocks

A curated list of the companies powering artificial intelligence — the independent power producers and utilities generating the electricity, the electrical-equipment and grid names building the connections, and the data-center REITs that house the servers.

Updated July 2026 · 21 companies

Companies21
Dividend payers18
Data as ofJuly 2026

DV Scorecard

Our proprietary snapshot of this list — averages and standouts, computed from the companies below. Not investment advice.

Avg Distribution Safety Score™99/100across 21 companies
Median Yield2.08%dividend yield
Median 1-Yr Returnprice change, 1 year
Payout CadenceQuarterlymost common
Avg Expense Ration/a for stocks
Highest YieldD3.77%
Highest SafetyDELLscore 100
Best Safety-Adj. YieldDsafety 97 · 3.77%

Artificial intelligence runs on electricity — a lot of it. Training and serving large models draws enormous power, and the data centers that house the servers have to be built, cooled, connected to the grid, and fed by generation. This page gathers the companies meeting that demand, organized by the role each plays.

The list spans three layers: the independent power producers and regulated utilities generating and delivering the electricity, including nuclear operators; the electrical-equipment, grid, and construction names building the connections and cooling; and the data-center real estate investment trusts and hardware vendors that house and run the servers. Several of these are established dividend payers — utilities and data-center REITs in particular — while others are more growth-oriented infrastructure plays.

Dividend Vision's angle is the income and durability behind the theme: which of these companies pay a dividend, how safe that payout looks through our Distribution Safety Score, and how the group compares. Figures refresh live from our data pipeline on every build, and nothing here is investment advice.

AI Power & Data-Center Stocks

Live data joins from our pipeline on every build — click any header to sort, or open a ticker for the full analysis. We never hard-code yields, prices, or returns.

Ticker Company Role Yield Div growth (1y) Safety Fwd P/E Market cap
GEVGE Vernova Inc.Utilities0.19%+147.3%9836.9$284.3B
DELLDell Technologies Inc.Technology0.51%+25.1%10021.3$256.1B
ANETArista Networks Inc.Technology46.5$212.3B
NEENextEra Energy, Inc.Renewable Energy Utility2.67%-7.1%9922.3$185.2B
ETNEaton Corp. PlcIndustrials1.04%+59.2%10029.7$155.3B
VRTVertiv Holdings Co.0.09%+4.2%9747.4$111.2B
SOThe Southern CompanyElectric Utility3.13%+4.2%9920.8$107.4B
EQIXEquinixDiversified REIT1.93%+24.3%10056.2$100.6B
DUKDuke Energy CorporationElectric Utility3.43%0.0%9918.8$97.5B
PWRQuanta Services Inc.Industrials0.07%+17.6%10045.5$94.3B
CEGConstellation Energy Corp.Utilities0.63%+53.7%9921.4$90.1B
AEPAmerican Electric Power Company, Inc.Electric Utility2.87%+13.4%9920.9$71.9B
DLRDigital RealtyDiversified REIT2.77%-2.5%9976.9$65.4B
DDominion Energy Inc.Utilities3.77%+3.3%9720.0$62.5B
ETREntergy Corp.Utilities2.24%+28.7%9926.1$52.8B
VSTVistra Corp.Utilities0.57%+4.4%9916.6$52.4B
EXCExelon Corp.Utilities3.59%-4.2%10016.4$47.3B
PEGPublic Service Enterprise Group Inc.Utilities3.25%+12.6%9918.2$39.2B
NRGNRG Energy Inc.Utilities1.33%+23.5%10014.0$27.2B
TLNTalen Energy Corporation15.7$17.8B
SMCISuper Micro Computer, Inc.AI Servers7.6$15.6B

Why this list matters

Power has emerged as a real bottleneck for AI, turning once-sleepy utilities and infrastructure names into part of the AI trade — often with an income profile the chipmakers lack.

Who it's for

  • Income investors looking for the dividend-paying, infrastructure side of the AI theme
  • Investors who want exposure to AI's growth without buying richly-valued chip designers
  • Anyone tracking the utilities, REITs, and equipment names tied to data-center build-outs
  • Holders comparing a power or data-center name they own against its peers on yield and safety

Benefits

  • A more income-oriented way to participate in AI, anchored by utilities and data-center REITs
  • Exposure to a multi-year build-out spanning generation, grid, equipment, and real estate
  • Regulated utilities and REITs can offer steadier cash flows than the growth end of AI

Risks

  • Utilities and REITs are sensitive to interest rates, which affect both valuation and borrowing costs
  • Independent power producers can be volatile and exposed to power-price swings
  • The AI-demand thesis may already be reflected in some prices, especially the merchant power names
  • Large capital-spending programs can strain balance sheets and, for some, pressure the dividend
  • Regulatory, permitting, and grid-interconnection delays can slow the build-out

What to watch

  • Whether a company pays a dividend and how well it's covered — start with the Distribution Safety Score and payout ratio
  • The difference between a regulated utility, a merchant power producer, a REIT, and an equipment maker
  • Interest-rate sensitivity, which weighs on utilities and REITs in particular
  • How much of a name's price already assumes sustained AI-driven demand growth

How we rank these investments

This page is a curated universe, not a ranked buy list — the table sorts on any column. These are the dimensions we surface and what each tells you.

Frequently asked questions

What are AI power stocks?

They are the companies supplying the electricity and physical infrastructure behind artificial intelligence — power producers and utilities (including nuclear operators), electrical-equipment and grid builders, and the data-center real estate that houses the servers. This page tracks 21 of them with live data.

Why does AI need so much power?

Training and running large AI models is computationally intensive, and the data centers full of servers that do it draw large, steady amounts of electricity for computing and cooling. That has driven a sharp increase in projected power demand, putting generation and grid capacity in focus.

Do these stocks pay dividends?

Many do. Regulated utilities and data-center REITs are typically income-oriented and often raise their dividend over time, while merchant power producers and equipment makers vary. Each ticker page shows the current yield and our Distribution Safety Score.

Why are data-center REITs included?

AI models run in physical buildings full of servers, power, and cooling. Data-center REITs own and lease that space, making them a direct, income-paying way to participate in AI infrastructure rather than the chips themselves.

How is nuclear related to AI power?

Nuclear plants provide large amounts of steady, low-carbon electricity, which is attractive for always-on data centers. Several operators and independent power producers on this list have significant nuclear generation. For fund exposure, see our Nuclear Energy ETFs list.

Are utilities a safer way to play AI?

Regulated utilities and REITs can offer steadier cash flows and dividends than growth-oriented AI names, but they are not risk-free — they're sensitive to interest rates and carry large capital-spending programs. The Distribution Safety Score helps gauge how durable each payout looks. None of this is investment advice.

What is the Distribution Safety Score?

It's Dividend Vision's proprietary measure of how durable a company's dividend looks, scored from 0 to 100 using the same single model applied across the site. Non-payers carry no score.

How is this different from a utilities or infrastructure fund?

A fund bundles many names into one holding. This page lets you see and compare the individual companies most tied to AI power demand, each linking to a full analysis, with a live DV Scorecard summarizing the group.

How often is this list updated?

The membership is curated, while yields, prices, market caps, and Safety Scores refresh from our data pipeline on every build. The figures reflect the most recent data run, not a static snapshot.

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