Digital Realty vs Equinix in the AI Data Center Race

AI needs far more than advanced chips. It needs robust digital infrastructure with huge power feeds, dense fiber connections, cooling systems, and reliable backup capacity. That makes Digital Realty vs Equinix a useful comparison for investors who want exposure to the physical infrastructure behind AI.

Both REITs benefit from rising cloud and AI spending, yet they earn money in different ways. One is closer to a landlord for hyperscale capacity. The other is closer to a meeting point for networks, major cloud providers, and enterprise customers.

Key Takeaways

• Digital Realty has greater exposure to large-scale, power-hungry AI deployments from hyperscalers and cloud providers among leading data center REITs.

• Equinix has a larger revenue base and a stronger interconnection business, which suits enterprise AI and hybrid-cloud workloads.

• Digital Realty reported $6.112 billion in 2025 revenue, while Equinix reported $9.217 billion, highlighting distinct trajectories in revenue growth.

• Power availability, construction costs, interest rates, and tenant concentration remain major risks for both stocks.

• For long-term investing, the better choice depends on whether you prefer wholesale AI capacity or network-dense enterprise infrastructure.

Digital Realty vs Equinix: Two Routes Into AI Infrastructure

Digital Realty (DLR) owns and develops data centers where cloud providers and large technology companies can install thousands of servers. Its portfolio is built for scale, and these real estate investment trusts make massive property investments to support modern technology infrastructure. A major customer may lease a large powered space, then fill it with its own equipment over many years.

That model matters because artificial intelligence training clusters consume enormous amounts of electricity. A conventional lease can be measured in cabinets. An AI deal may be measured in megawatts, requiring heavy-duty power and cooling systems to keep high-density chips from overheating. Digital Realty has become a direct way to invest in that race for available power.

Equinix (EQIX) also owns data centers, but its model is more network-focused. Its International Business Exchange facilities bring together cloud firms, telecom carriers, financial companies, software providers, and enterprise customers. A business can connect its systems to multiple clouds without sending data across the public internet, relying on thousands of internal cross connects to route traffic efficiently.

The Equinix platform is attractive for companies running AI inference near sensitive data, customers, or cloud services. Training a large model may happen in a remote hyperscale campus. However, using that model in a bank, hospital, retailer, or global software company often requires low-latency connections, secure data movement, and robust colocation services.

 

Digital Realty is the more direct play on large AI campuses. Equinix is the more direct play on enterprise connectivity. Both can win, but their growth drivers are not identical.

Wholesale Capacity Versus Network Density

Digital Realty's core advantage is its scale in wholesale colocation and hyperscale development. According to S&P Global Market Intelligence data cited in 2025 research, Digital Realty held 15% of leased U.S. data center power in the fourth quarter of 2024. Equinix held 4.9%.

That gap helps explain the different investment cases. Digital Realty has more exposure to a small group of very large buyers, including hyperscalers and technology firms that need whole buildings or substantial sections of a campus.

A huge lease can move Digital Realty's results quickly. It can also create lumpier growth, especially when long lease terms mean that revenue depends heavily on a handful of massive customer commitments. Construction has to finish on time, electricity has to be delivered, and the customer must be ready to occupy the capacity.

Equinix spreads its revenue across a much larger customer base. It has more than 10,000 customers across hundreds of facilities, while its interconnection ecosystems and interconnection services can create high switching costs. Once a company connects networks, cloud workloads, security services, and partners inside an Equinix site, moving everything can be difficult and disruptive.

A Fitch analyst comparison of the two data center REITs highlights this contrast: Digital Realty has greater hyperscaler concentration, while Equinix has broader enterprise exposure that supports steady performance across varying economic cycles and reit leverage levels.

For investors, that means DLR can offer more torque if hyperscalers keep signing giant AI leases. EQIX may offer steadier growth if businesses continue placing workloads near cloud networks and customers.

The Financial Scoreboard: Revenue, Growth, and Guidance

The figures below are from fiscal 2025 results and 2026 guidance available as of July 22, 2026. Revenue shows the amount earned from rent, services, and related operations. It does not show how much cash reaches shareholders after interest, development spending, and other costs.

Metric	Digital Realty	Equinix
Full-year 2025 revenue	$6.112 billion	$9.217 billion
Fourth-quarter 2025 revenue	$1.60 billion	$2.42 billion
Fourth-quarter 2025 net income	$96 million	$264 million
2026 revenue guidance	$6.6 billion to $6.7 billion	$10.123 billion to $10.223 billion
2025 adjusted EBITDA	$3.34 billion	Not used in this comparison

Digital Realty's fourth-quarter 2025 results showed revenue up 14% year over year to $1.6 billion. Management projected 2026 revenue of $6.6 billion to $6.7 billion and adjusted EBITDA of $3.6 billion to $3.7 billion.

In plain English, DLR expects new leases and delivered capacity to lift both sales and operating earnings. That is encouraging, but the spending required to build those sites can be massive. Data center development does not work like opening another coffee shop. A delayed substation or unavailable transformer can hold up a project worth hundreds of millions. Furthermore, managing a large development pipeline requires careful oversight of the debt to equity ratio to ensure balance sheet stability.

Equinix guided for 2026 revenue of $10.123 billion to $10.223 billion, or roughly 10% to 11% growth. Its fourth-quarter revenue reached $2.42 billion. The company also said AI workloads helped drive its largest deals, with 60% of those deals linked to AI in the fourth quarter.

For REIT analysis, investors often look at specific valuation metrics like AFFO per share rather than relying only on traditional earnings per share. Net income includes non-cash depreciation, while data center properties may retain value or appreciate. When evaluating these real estate investments, tracking AFFO per share alongside free cash flow, dividends, and net asset value provides a clearer financial picture than standard ratios. Forward P/E and PEG can still appear on stock market websites, but they are less useful than AFFO growth, debt costs, occupancy, pricing, and development returns for these two businesses.

Why AI Demand Does Not Remove the Risks

The demand story is real, yet the share prices can still fall. Data center stocks have already shown that a strong AI narrative does not protect investors from higher interest rates, valuation compression, or worries about spending.

First, power is the hard constraint. Land is easier to buy than an electricity connection. In Northern Virginia, Dallas, Phoenix, Singapore, and parts of Europe, utility capacity has become a competitive advantage. Digital Realty may have more direct upside when hyperscalers need large blocks of power, but it also faces greater execution risk on major developments.

Second, both firms must fund expansion. Debt is normal for REITs because real estate requires upfront capital, but managing REIT leverage carefully is crucial during periods of higher borrowing costs that can reduce the return on new projects and make dividends less attractive beside government bonds.

Third, AI spending is concentrated. Microsoft, Amazon, Google, Meta, Oracle, and other large technology buyers have deep pockets, but their capital spending plans can change, meaning high tenant concentration affects a giant wholesale site more than a diversified portfolio of small leases and favorable lease terms.

Finally, the technology mix could shift. AI is the immediate demand driver. Quantum computing remains far earlier in its commercial development, so it should not be treated as a near-term revenue engine for either REIT. Investors should focus on signed leases, power commitments, and completed capacity rather than speculative headlines.

How to Invest Without Chasing the AI Story

People learning how to invest often see AI headlines and assume every related stock has the same risk. That is rarely true. Digital Realty and Equinix are property businesses with technology customers, not chip designers. Their results depend on rent, power, construction, financing, and customer contracts.

For a beginner working out how to buy stocks, start with position size. Allocating capital to data center REITs can fit within a wider technology portfolio, but it should not become the entire plan. Broad funds, cash reserves, and regular contributions can reduce the damage from one disappointing earnings report.

Compare the companies against your own priorities:

• Choose Digital Realty if you want more exposure to hyperscale AI campuses and power-constrained development.

• Choose Equinix if you prefer enterprise customers, interconnection revenue, and a more diversified global customer base.

• Hold both only if you understand that their businesses overlap, even though their customer mix differs.

If you use platforms such as trading 212, check the share currency, dealing fees, and tax rules before placing an order. Someone searching for eotor is usually looking for eToro. You can Buy now on etoro only after reviewing the risks and deciding whether the company fits your plan.

It also helps to see how one investor handles technology exposure within a wider portfolio. This live portfolio breakdown shows how a concentrated tech allocation can sit alongside other investment choices. Before committing regular money, test different contribution rates with a compound interest calculator.

This article is for informational purposes only and is not investment advice. Shares can fall as well as rise, and you can lose money.

Frequently Asked Questions

What is the main difference between Digital Realty and Equinix for AI investors?

Digital Realty focuses primarily on wholesale colocation and massive hyperscale data centers that require huge amounts of power. Equinix emphasizes network density and interconnection services, making it a stronger choice for enterprise hybrid-cloud workloads.

Which REIT has greater exposure to hyperscale AI customers?

Digital Realty holds a larger share of leased U.S. data center power and leases entire buildings or large campus sections to major technology firms. This model provides direct exposure to massive, power-hungry AI training deployments.

Why is power availability such a critical factor for both data center REITs?

Artificial intelligence workloads consume extraordinary amounts of electricity and require heavy-duty cooling systems. Because securing electrical grid capacity is often more difficult than buying land, power constraints directly impact how fast new facilities can generate revenue.

How do their revenue scales compare?

Equinix generally generates a larger revenue base with thousands of smaller enterprise customers spread across global facilities. Digital Realty operates on a more concentrated model where large individual leases can significantly move quarterly results.

Final Thoughts

The debate of Digital Realty vs Equinix ultimately comes down to the type of AI infrastructure you want to own. Digital Realty offers more direct exposure to giant power-intensive deployments. Equinix offers a stronger link to enterprise networks and interconnection.

The stronger long-term investment will not be decided by the loudest AI announcement. Watch signed capacity, delivered power, revenue growth, and AFFO per share. Those numbers show whether AI demand is becoming durable cash flow.