The rapid expansion of data centers reflects the growing role digital infrastructure plays in economic growth, productivity and innovation across nearly every industry. Meeting that demand responsibly will require balancing the benefits of the investment with the very real pressures it places on infrastructure systems, the environment and local communities. This includes how the costs of supporting that growth are allocated and who ultimately bears them.

Once characterized primarily by their expanding physical footprints, modern data centers are now experiencing a historic rise in development costs. In present-value terms, the scale of investment flowing into the digital infrastructure sector represents one of the largest coordinated capital deployments since the industrial revolution. Driven by the rapid expansion of artificial intelligence (AI) and high-performance computing, capital is pouring into projects worldwide. However, this surge in interest has triggered significant upward pressure on development costs across almost every metric, whether measured per megawatt of capacity, per square foot or per project.

Data center construction costs per watt rose by 9% in 2024 and another 5.5% in 2025, according to a report from professional services firm Turner & Townsend. This escalation is expected to persist as supply pipelines remain constrained and global demand continues its aggressive upward trajectory. It is incumbent upon utilities and developers to understand where these cost increases are occurring, what factors are driving them and how advanced energy solutions are helping the industry adapt to these operational realities.

The Geography of Cost Inflation

The rising price of standing up a modern data center is not concentrated in a single category; rather, it reflects a broad-based inflation of critical inputs. Equipment and highly specialized technology represent a primary driver. For instance, AI-focused data centers operate at substantially higher power densities, often requiring two to three times the power per rack compared to traditional cloud computing facilities. This density necessitates specialized infrastructure, such as liquid cooling systems, to manage intense thermal loads. These liquid-cooled data centers come at a premium, clocking in at approximately 7% to 10% more expensive than equivalent air-cooled projects.

Beyond physical equipment, human capital represents an equally critical — and nonhedgeable — cost increase. The simultaneous acceleration of projects across the country has placed unprecedented strain on the skilled labor ecosystem. While developers can strategically hedge material costs or secure manufacturing slots for long-lead equipment, human capital cannot easily be hedged. Building the skilled workforce required to execute these highly complex projects requires a massive, industrywide development effort, driving up labor costs across the construction life cycle.

The Multiplicative Nature of Demand

To understand why costs continue to escalate, it is helpful to look at the underlying drivers. This market expansion is multiplicative, rather than linear, impacting every interconnected system within the construction and power ecosystems. Data centers are not merely stand-alone buildings. They are integrations of some of the largest machines in the world, each tied to complex supply chains, regulatory timelines and utility frameworks.

This dynamic can be understood as compounded infrastructure. It is a form of demand growth in which incremental load simultaneously drives expansion across multiple interdependent infrastructure systems, including power generation, transmission, distribution, water and fuel supply. This creates multiplicative rather than linear infrastructure requirements and places strain on capital markets, labor and supply chains.

Power is the primary operational constraint driving both complexity and cost. Securing adequate electrical capacity has become the defining factor in site selection, with 84% of data center leaders ranking power availability among their top three criteria. In major markets, transmission constraints and backlogged interconnection queues have introduced substantial delays, potentially adding two or more years to project timelines. Lead times for critical electrical equipment have also stretched dramatically. The wait for large power transformers, switchgear, generator step-up transformers and backup generation equipment is now often measured in years rather than months. That reality is changing project budgets because time itself has become a cost driver.

With approximately 55 gigawatts of data center IT capacity projected to come online in the United States over the next five years, and the median data center size expected to more than double to 375 megawatts by 2035, the sheer scale of power demand is unprecedented. Because this demand is highly inelastic, the mismatch between immediate deployment needs and long-lead supply realities inevitably drives all-in costs higher.

Alleviating Strain Through Behind-the-Meter Solutions

As the industry adjusts to these market realities, developers are increasingly adopting advanced energy solutions to mitigate delays and optimize long-term costs. Rather than viewing grid limitations as insurmountable barriers, the industry is exploring innovative on-site options that offer a reliable path to market.

This shift is broadening the definition of power strategy. Developers are no longer looking only at a utility interconnection request and a standard backup generation package; they are evaluating every available path to capacity that brings speed to market. That could include:

  • Acquiring existing grid capacity.
  • Loading interconnection queues.
  • Partnering with generation owners or utilities.
  • Developing behind-the-meter or front-of-the-meter generation.
  • Pursuing private wire arrangements.
  • Structuring hybrid models that combine utility service with dedicated energy assets.

The common objective is speed through optionality: creating multiple paths to energization while preserving a long-term connection to the grid as the most reliable and scalable platform for growth.

On-site power generation is increasingly playing a critical role as a "bridge-to-grid" solution, enabling developers to deploy capacity faster than traditional utility interconnections allow. This is not replacing long-term utility service but helping projects manage the gap between facility readiness and grid-delivered capacity. Industry projections indicate that 30% of data centers could utilize on-site power as a primary source by 2030, a more than twofold increase from 2024. Even more striking is the shift toward complete grid independence: 27% of facilities expect to be fully self-powered by the end of the decade, representing a massive increase from the mere 1% recorded in 2024.

A Path Forward

The defining challenge in the current environment is whether the systems required to support digital infrastructure — power delivery, equipment manufacturing, skilled labor, permitting and utility coordination — can scale fast enough to match the pace of AI-driven demand.

The multiyear timelines required to expand power grids, train skilled labor and scale manufacturing mean that cost pressures will not disappear overnight. However, by embracing integrated project delivery and leveraging advanced energy technologies like on-site storage and generation, the industry is actively building a more resilient, adaptable digital infrastructure. Collaborating with experienced partners who understand the full life cycle of power integration is proving essential to navigating these complex market realities and securing a predictable, successful path forward.

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Jeff Casey leads a team focused on corporate development, digital consulting and alternative revenue growth management for the telecommunications and critical infrastructure sectors. He has held key leadership roles in both the United States and United Kingdom businesses for Burns & McDonnell, contributing significantly across projects, business leadership, business development and corporate development. Throughout his career, Jeff has been involved in strategic and groundbreaking programs and technology deployments.