Data Centers as an Asset Class: Core Real Estate Comparison

Core real estate traditionally refers to stabilized, income-producing properties in prime locations. These assets include office towers in central business districts, high-quality retail centers, multifamily housing in major cities, and logistics warehouses with long-term tenants. Investors value core real estate for its predictable cash flows, lower risk profile, and strong correlation with economic growth and urbanization.

Digital infrastructure, by contrast, encompasses assets that enable the storage, transmission, and processing of data. This category includes data centers, fiber networks, cell towers, small cells, and subsea cables. These assets underpin cloud computing, streaming, e-commerce, artificial intelligence, and enterprise IT. While once considered niche or alternative, digital infrastructure has moved into the mainstream of institutional portfolios.

Key Factors Influencing Demand and Its Economic Responsiveness

Core real estate demand remains closely linked to broad economic conditions, employment levels, and demographic dynamics, with office needs generally expanding as jobs increase, residential demand following population growth and new household creation, and retail activity hinging on consumer spending, while these asset classes often move in cycles and face vulnerability to downturns, evolving work habits, and shifts in buying behavior.

Data centers and digital infrastructure are driven by different forces:

• A rapid surge in how much data is being generated and retained.
• Widespread cloud integration across corporate and governmental sectors.
• Expanded engagement with streaming services, gaming platforms, and social networks.
• AI-driven tasks that demand intensive, high-density computational power.

Even during economic slowdowns, data traffic tends to grow. For example, global internet traffic has historically increased at double-digit annual rates, and hyperscale cloud providers continue to sign long-term leases for capacity. This makes digital infrastructure less correlated with traditional economic cycles than core real estate.

Revenue Stability and Lease Structures

Core real estate typically relies on multi-year leases with periodic rent escalations. Office leases may run five to ten years, while residential leases are usually one year. Vacancy risk and re-leasing costs can rise during downturns or structural changes, such as the shift toward remote work.

Data centers commonly secure long-term agreements with investment-grade tenants, such as leading cloud and technology firms; these leases may run 10 to 20 years and typically offer the following:

• Embedded yearly rate increases.
• Fees for power and connectivity that grow according to consumption.
• Tenants incur significant switching costs owing to the complexity of migration.

This structure can produce stable, inflation-linked cash flows that resemble, and in some cases exceed, the predictability of core real estate income.

Capital Intensity and Barriers to Entry

Both asset classes demand substantial capital, though each does so differently. Core real estate involves major initial spending on land acquisition, construction, and continual upkeep, yet the development cycle is well established, and access to financing remains broad and highly liquid.

Data centers require an even greater degree of technical sophistication. Major obstacles to entering this field include:

• Access to reliable and scalable power.
• Advanced cooling and redundancy systems.
• Specialized engineering and operational expertise.
• Regulatory approvals and grid constraints.

For example, constructing a contemporary hyperscale data center can require investments reaching hundreds of millions of dollars and may involve lengthy timelines to obtain adequate power capacity, factors that often restrain supply and help maintain strong pricing for strategically situated facilities.

Location Dynamics and Land Value

Location is critical in both sectors, but the criteria differ. Core real estate prioritizes proximity to people, transportation, and amenities. Value is often tied to walkability, prestige, and urban density.

Data centers often choose sites close to fiber pathways, electrical substations, and end users to minimize network latency, which means high‑value parcels can lie in suburban or industrial zones instead of downtown districts. In certain regions, including Northern Virginia, land prices have surged because areas with ample power capacity suitable for data center development remain limited, creating a property landscape that echoes premium urban markets.

Risk Profile and Obsolescence

Core real estate faces risks such as:

• The waning usefulness of aging office structures.
• Regulatory shifts influencing zoning requirements or rent restrictions.
• Changes in what tenants look for.

Digital infrastructure has its own risks, including technological change and energy constraints. A data center designed for low-density workloads may require costly upgrades to handle modern artificial intelligence applications. However, operators often mitigate this through modular design and continuous capital expenditure, similar to how prime real estate owners renovate assets to maintain competitiveness.

Portfolio Function and Investment Outcomes

Traditionally, core real estate has offered steady performance with comparatively limited volatility, establishing it as a foundational element in pension funds and insurance portfolios, where it supports both income generation and the safeguarding of capital.

Digital infrastructure has demonstrated stronger growth patterns, with both listed and private data center platforms frequently surpassing traditional real estate indices over the past decade, fueled by robust demand and rising rents, leading many investors to regard digital infrastructure as a hybrid category that blends real assets with growth-oriented infrastructure.

Comparative Overview

• Core real estate: reliable, revenue-oriented properties influenced by economic shifts and designed around the needs of everyday users.
• Data centers and digital infrastructure: technology-led, information-focused assets backed by long-term agreements and typically less dependent on traditional economic cycles.

Both asset classes share real asset qualities such as long-lived structures, inflation protection, and essential service provision. The difference lies in what they serve: human activity in physical space versus digital activity in virtual space.

Comparing data centers and digital infrastructure with traditional core real estate highlights how the meaning of “core” is shifting, as digitized economies rely on systems that handle data traffic with the same level of importance as offices, residences, and logistics facilities; while core real estate continues to serve as a fundamental pillar, digital infrastructure now stands alongside it, grounding portfolios in the realities of an increasingly data-driven environment, and investors focused on long-term stability no longer view physical and digital assets as competing options but as complementary elements reflecting the ways contemporary society lives, works, and communicates.