The Building Is Not the Asset

Built on the Wrong Framework

For the past two decades, data centers operated inside the real estate industry’s organizational framework. REIT structures, per-square-foot underwriting, landlord-tenant lease models and property-based capital allocations all shaped how the market organized itself around these facilities. For a time, the approach worked. Rack densities were modest, tenants were stable and operational demands remained within the range of a conventional real estate management model.

Those conditions have shifted considerably. AI-driven compute demand has pushed power densities, cooling requirements and infrastructure complexity well beyond what the original real estate operating model was designed to accommodate. In a typical commercial property, the building shell represents the majority of capital expenditure. Within an AI data center, it accounts for a fraction. The bulk of the investment sits in mechanical and electrical systems required to perform without interruption under increasingly demanding conditions. Pricing follows kilowatts, not square feet. Value is determined by uptime, power continuity and technical performance. The asset, in every meaningful sense, is not the building. It is the operating capability the facility was designed to deliver.

This distinction changes more than underwriting. It changes what leadership must look like and where it must sit within the enterprise.

An Organization Designed for a Different Business

In most commercial real estate firms, the operating model is built around development, acquisitions, leasing and asset management. Engineering and operations exist as supporting functions. That hierarchy reflects where value is created in a traditional property business, and it has produced generations of highly capable executives.

In data centers, that relationship is reversing. Operational resilience, power procurement, commissioning, uptime and infrastructure reliability have moved from the periphery of the business model to the center of it. When a single technical failure can impair collateral value, these functions are no longer supporting the investment, they are driving it.

Successful real estate leadership remains foundational. The capabilities that built and scaled commercial property organizations do not lose their relevance in this environment. The organizational architecture around them changes. Operational and technical leadership must now carry equal weight in how these businesses are run.

The firms entering data centers with the strongest development expertise and capital strategies will still underperform if their organizational design treats operational and technical leadership as subordinate to the property management function. A Vice President of Engineering or COO making decisions in the first 90 days of a major build will either accelerate or compromise every timeline, every team and every system beneath that role. Where those positions sit in the organization, and who fills them, determines outcomes.

A Level of Scrutiny No Other Property Type Faces

The operational complexity alone would test any leadership model designed for conventional property. But data centers have also become one of the most publicly contested development categories in the country, introducing a layer of risk and responsibility with limited precedent in commercial real estate. 

In Q1 2026, more than 75 projects representing approximately $130 billion in planned development were blocked or delayed across the United States, a figure matching the total for all of the prior year.¹ Residential electricity costs have risen substantially in markets with significant data center concentration, and the sector is widely cited among the contributing factors. AI workloads have accelerated this dynamic, concentrating unprecedented power demand in markets whose grid infrastructure was never sized for it. More than 30 states have introduced hundreds of related bills in 2026, addressing issues from construction moratoriums to energy rate protections. The opposition is bipartisan, locally organized and showing no signs of easing. 

The concerns driving this resistance deserve serious engagement, not management. Communities are raising substantive questions about electricity costs, water consumption, grid reliability and environmental impact. Addressing those questions credibly requires executives who understand utility rate structures, energy policy, environmental compliance and regulatory processes across multiple jurisdictions. It also demands leaders capable of engaging with local officials, utility commissioners and concerned residents from a position of genuine operational expertise, not from a scripted set of talking points. The leaders equipped for this work come from energy, infrastructure and industrial operations, disciplines with historically limited overlap with the real estate talent pipeline.

Where the Performance Gap Originates

The competition for leaders with the right experience is intensifying. Two-thirds of data center operators now report difficulty hiring or retaining qualified staff, a figure nearly double what it was seven years ago.² The challenge is compounded by convergence across sectors. Data center operators, power utilities and energy infrastructure developers are all recruiting from the same finite pool of experienced technical executives. 

Industry conversation tends to focus this shortage at the trades level: not enough electricians, commissioning technicians or mechanical engineers to keep pace with construction. Those shortages matter. At the leadership layer, however, a different constraint is shaping whether developments perform to their underwriting. The wrong senior hire does not create a vacancy. It creates a compounding operational deficit difficult to reverse with capital alone. 

Capital will continue to flow into data centers, and the political and regulatory environment surrounding every new project will continue to grow more complex. Strong balance sheets and quality sites will remain necessary. Increasingly, however, the differentiating factor will be whether an organization’s leadership and design have evolved alongside the assets it owns.

SOURCES

⁽¹⁾ Data Center Watch, Q1 2026 Opposition Report.

⁽²⁾ Uptime Institute, Global Data Center Staffing Forecast, 2024–2025.