How do data centers and digital infrastructure compare to core real estate?

How Data Centers Stack Up Against Core Real Estate

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 when the economy cools, data volumes typically keep rising. For instance, worldwide internet usage has long climbed at robust double‑digit yearly rates, and major hyperscale cloud providers still commit to long‑term capacity leases. As a result, digital infrastructure often shows weaker ties to conventional economic cycles than core real estate.

Income Consistency and Leasing Frameworks

Core real estate customarily depends on multi‑year leasing agreements that include scheduled rent increases, with office contracts often extending five to ten years and residential ones generally lasting a single year, while periods of economic stress or structural shifts like the move toward remote work can heighten vacancy exposure and the expenses tied to securing new tenants.

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 demand even higher technical complexity. Key barriers to entry include:

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

For example, a modern hyperscale data center can cost hundreds of millions of dollars to build and may take years to secure sufficient power capacity. These barriers can limit supply and support pricing power for well-located facilities.

Spatial Dynamics and Property Worth

Location matters greatly in both sectors, though the deciding factors are not the same. Core real estate tends to emphasize closeness to population centers, transit options, and surrounding conveniences, with value frequently influenced by ease of access, perceived prestige, and the intensity of urban development.

Data centers prioritize proximity to fiber routes, power substations, and end users in terms of network latency. As a result, valuable locations may be in suburban or industrial areas rather than city centers. In some markets, such as Northern Virginia, land values have risen sharply because power-rich zones suitable for data centers are scarce, creating a land dynamic similar to prime urban real estate.

Risk Profile and Obsolescence

Core real estate faces risks such as:

  • Functional obsolescence of older office buildings.
  • Regulatory changes affecting zoning or rent controls.
  • Shifts in tenant preferences.

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.

Investment Performance and Portfolio Role

Historically, core real estate has delivered moderate returns with relatively low volatility, making it a cornerstone of pension funds and insurance portfolios. Its role is income generation and capital preservation.

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 Summary

  • 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 to core real estate reveals how the definition of “core” is evolving. As economies digitize, the infrastructure that supports data flows becomes as essential as offices, homes, and logistics hubs. Core real estate remains foundational, but digital infrastructure increasingly occupies a parallel role, anchoring portfolios to the realities of a data-driven world. Investors assessing long-term resilience are no longer choosing between physical and digital assets; they are recognizing that both are integral expressions of how modern society lives, works, and connects.

By Roger W. Watson

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