June 7, 2026

Advancing Data Center Construction in 2026: Owner Trends to Watch

By:
Dallas Bond

In 2026, data center construction is evolving rapidly due to surging demand for AI infrastructure, rising costs, and workforce challenges. Here's what you need to know:

  • Spending Boom: U.S. construction spending hit $49.5 billion by April 2026, a 264% increase from 2025.
  • AI-Driven Growth: Hyperscalers like Amazon and Google are investing $600–$700 billion in AI infrastructure this year, with rack densities reaching up to 120kW.
  • Cost Surge: AI-ready facilities now cost $18–$25 million per MW, nearly double 2022 costs.
  • Supply Chain Delays: Lead times for critical equipment like transformers and generators extend up to 144 weeks.
  • Labor Shortages: The industry faces a shortage of 499,000 workers, with electricians in particularly high demand.

Key Takeaways:

Owners who prioritize power agreements, streamline procurement, and secure skilled labor early are better positioned to meet the growing demands of 2026.

2026 Data Center Construction: Key Stats & Trends

2026 Data Center Construction: Key Stats & Trends

236. Data centers outlook 2026: Why the buildout is hitting bottlenecks

Owner Priorities Reshaping Data Center Projects

The surge in construction spending is forcing owners to zero in on their main priorities. By 2026, three key goals will guide nearly every decision: designing for future scalability, ensuring schedule reliability, and managing long-term costs. The way these priorities interconnect often determines whether a project meets its deadlines or becomes a financial drain while waiting on critical components. These shifting priorities are driving new approaches to both design and procurement, as outlined below.

Scalability and AI-Ready Design

AI workloads are pushing data centers into uncharted territory, with rack densities now hitting 120kW to 300kW and projections suggesting they could reach 300kW to 400kW by late 2026 [7]. These numbers make liquid cooling a must from the very start of the design process. Skipping this step could lead to expensive retrofits down the line.

Scalability also means planning for phased growth. Many owners are opting for phased build-outs, allowing them to expand power capacity incrementally as utility availability is confirmed. This approach avoids overcommitting capital when demand forecasts shift. On the technical side, high-voltage DC systems (750V to 800VDC) are becoming popular for dense AI clusters. These systems cut conversion losses and reduce the need for large amounts of copper cabling. For a deeper dive into how these design choices impact project timelines, check out iRecruit.co's guide to data center construction.

"A data center schedule does not slip at the end. It slips the day decisions get deferred." - Hypertec Construction [8]

This proactive design mindset also supports the precise scheduling strategies needed to navigate modern supply chain challenges.

Schedule Certainty Amid Supply Chain Disruptions

Supply chain issues have evolved from logistical headaches to serious financial risks. For example, lead times for critical components like fiber cabling, transformers, and switchgear now stretch to two to three years [4]. Delays in ordering these items today could mean a facility won’t open until 2027 or even 2028.

To combat this, savvy owners are prioritizing procurement as an early step - sometimes even before securing the site. Modular construction is playing a big role here. Oracle, under the leadership of Principal Hardware Manager Rishab Harikrishnan, slashed construction timelines from two years to just 30 weeks by modularizing every part of its data center builds [3]. This kind of speed is only achievable when factory production and on-site preparation happen simultaneously, which requires early design finalization and strict control over change orders.

"Construction times have reduced from two years to about 30 weeks right now purely because of modularizing every single component." - Rishab Harikrishnan, Principal Hardware Manager, Oracle [3]

Balancing Cost Efficiency and Total Cost of Ownership

Cutting upfront costs often leads to bigger expenses later. Owners are now taking a broader view, focusing on total cost of ownership (TCO). This means weighing factors like cooling efficiency, ease of maintenance, and upgrade flexibility against initial expenses. For instance, while immersion cooling requires a higher initial investment, it improves server power efficiency by 5%–10% [8], resulting in significant savings over time, especially at scale.

"The right question in 2026 is not, 'What does a data center cost per MW?' The better question is, 'Which cost risks can be known before site control?'" - Build Team [2]

Standardized designs and modular components are also reshaping cost strategies. Instead of customizing every system, leading owners are moving toward repeatable configurations. This shift broadens the pool of available vendors, shortens procurement timelines, and makes future equipment upgrades more predictable. Additionally, by separating enabling infrastructure costs - such as utility upgrades, substations, and cooling plants - from core construction expenses, owners gain a clearer understanding of where financial risks lie. This prevents hidden costs from being buried in a single, blended estimate.

Delivery Models and Risk Management in 2026

In 2026, the way projects are structured, risks are allocated, and decisions are timed is just as important as the design itself. Owners are stepping away from outdated contracting methods that separate designers, contractors, and trade partners. Instead, they're embracing strategies that bring everyone to the table early, where adjustments can be made faster and at a lower cost. These delivery models align with earlier goals like scalability and schedule reliability, creating a unified approach to mission-critical projects.

Modular and Prefabricated Delivery

For owners prioritizing speed, prefabrication is now essential. By working on-site and in factories simultaneously, rather than one after the other, construction timelines can be cut by about 50% [8]. Components like electrical skids, cooling plants, and wall panels are built and tested in controlled environments while site foundations are prepared in parallel.

Take the Crusoe Abilene Campus in Texas, for example. In April 2026, DPR Construction, along with Rosendin and Southland Industries, prefabricated over 600 exterior wall panels in just two months. Installing these panels on-site took only seven days, compared to the typical eight weeks. The first two buildings, delivering more than 200 MW of capacity, were ready in just 11 months [11].

"Prefabrication creates the most value when it is agreed upon early and aligned with a coordinated digital model... it becomes more of a controlled production system that feeds the site plan rather than a late-stage schedule recovery tactic." - Mark Whitson, President, DPR Construction [11]

However, prefabrication only works as intended when interfaces are finalized early and changes are tightly controlled after fabrication begins [8]. Treating modular delivery as a last-minute fix will only limit its potential.

Feature Modular/Prefabricated Traditional Site-Built
Timeline Parallel (factory and site work) Sequential (linear progression)
Schedule Risk Lower; decoupled from site readiness Higher; dependent on weather and labor
Labor Reduced on-site workforce; factory-controlled High peak on-site workforce; trade-dependent
Quality Pre-tested in controlled environments Field-tested during commissioning
Design Flexibility Requires early design freeze and standardization Allows for later changes (at a higher cost)

This modular approach sets the stage for integrated delivery models that streamline risk management even further.

Integrated Delivery Models and Contracting Strategies

Selecting the right delivery model is crucial for managing risks and meeting tight timelines. In 2026, owners are focusing on balancing control and accountability to ensure projects stay on track.

For owners seeking faster delivery with a single point of accountability, Design-Build is a straightforward option, as the contractor handles both design and construction risks. Meanwhile, EPCM (Engineering, Procurement, and Construction Management) offers owners more control over vendors and design decisions but requires mission-critical construction managers with the expertise to manage complex coordination. For highly complex AI campuses, where transparency and shared accountability are critical, Integrated Project Delivery (IPD) spreads risks and rewards across all stakeholders, minimizing the communication gaps that often lead to cost overruns [6][9].

For phased, multi-site programs, a master agreement structure works well. This approach establishes general terms upfront, with separate work authorizations for each phase. It also allows owners to pivot if contractor performance doesn't meet expectations, without having to renegotiate the entire agreement [10].

Model Accountability Owner Control Best For
Design-Build Single point of contact; contractor owns design risk Lower; harder to implement late changes Fast-track projects and speed-to-market [9]
EPCM Owner manages multiple contracts; no single point of accountability High; owner controls vendors and design Experienced owners with strong internal teams [9]
EPC (Turnkey) Contractor delivers a finished facility to owner specs Minimal; "hands-off" for the owner Owners wanting a guaranteed outcome with low involvement [10]
IPD Shared risk and reward among all stakeholders Collaborative; joint decision-making Complex, high-density AI campuses requiring transparency [6]

While the choice of delivery model impacts risk and accountability, digital tools are now central to managing project information effectively.

Using Digital Project Controls

The biggest cause of cost overruns and delays in large data center projects isn't technical problems - it's information breakdowns. When data is scattered across multiple sources, decision-making slows, and small issues can snowball into major setbacks.

"Projects no longer succeed or fail in the field - they succeed or fail in how information is governed long before construction begins." - Mark Bodner, CEO and Founder, Foresee Consulting [6]

Project Management Information Systems (PMIS) solve this problem by creating a single, shared data source for all stakeholders. These systems directly support the priorities of cost control and schedule reliability that are critical to mission-critical projects. For regulated utilities and public-facing owners, PMIS tools also ensure compliance by maintaining a continuous audit trail that proves "prudency" to regulators [6]. Features like real-time dashboards and predictive scheduling tools track long-lead equipment, such as switchgear (which can take 8–24 months to procure), against actual energization dates instead of general construction milestones [12]. In multi-site programs, coordinated digital models allow proven design elements to be reused across locations, increasing efficiency with each project [11].

Workforce and Talent Acquisition for Mission-Critical Projects

No matter how advanced your plans or models are, they can only go so far without the right people. As construction activity ramps up in 2026, hiring the right talent will be just as important as securing power and cooling infrastructure or managing supply chains.

The Talent Gap in Data Center Construction

The U.S. data center construction industry is staring down a major workforce shortage - up to 499,000 workers by 2026 [15]. The challenge isn’t just about numbers; it’s about finding specialists like electricians, MEP contractors, controls experts, and commissioning engineers with experience in high-voltage systems and liquid cooling. To make matters worse, nearly a third of union electricians are between 50 and 70 years old, with about 20,000 retiring annually [15]. Training programs can’t fill this gap fast enough.

Electrical systems are a huge part of data center costs, making up 45% to 70% of total construction expenses [15]. If a 60 MW facility is delayed, it can cost around $14.2 million per month in lost revenue [15]. Right now, demand for qualified electrical workers outpaces supply by 20% to 30% [14], and construction labor costs in key North American markets jumped 8% to 12% year-over-year in 2025 [15].

"The electrician shortage is quite dire... those people are in short supply all across the country, and this has become a leading barrier to data center construction." - Darrell West, Senior Fellow, Brookings Center for Technology Innovation [15]

Adding to the problem, skilled tradespeople often don’t relocate easily. For projects in secondary or emerging markets, this means importing labor, which drives up costs with per diem allowances, lodging, and wage premiums. One industry expert summed it up perfectly:

"A powered site with no credible labor plan is not shovel-ready. It is a schedule risk with a parcel number." [5]

For more insights into specialist roles and market conditions, check out the iRecruit.co data center construction guide. Bridging the talent gap is critical, especially for owners juggling multiple sites.

Workforce Planning for Multi-Site Programs

With the talent gap in mind, workforce planning needs to happen well in advance for multi-site projects. For owners managing builds across different locations, hiring can’t be left to the last minute. Key roles like senior project managers, MEP leads, and commissioning engineers should be secured 6 to 12 months before construction begins [16]. Considering it often takes over 90 days to fill senior mission-critical roles [16], the best candidates won’t be found on job boards - they’re usually reached through specialized networks.

These senior roles don’t come cheap. Salaries for data center construction positions are 15% to 20% higher than equivalent commercial roles [13], and total compensation - including bonuses and allowances - can be 10% to 25% higher [13]. Delays in hiring can push costs up by an additional 15% to 25%. To stay competitive, leading owners are building internal teams to retain expertise across projects while bringing in specialists during high-demand phases like commissioning. In areas with limited local talent, relocating proven leaders or partnering with niche recruitment firms is often unavoidable.

How iRecruit.co Supports Mission-Critical Hiring

iRecruit.co

iRecruit.co specializes in recruiting for mission-critical construction sectors, including data centers, power infrastructure, defense-tech, advanced manufacturing, and life sciences. Founded by Dallas Bond and Tanya Runholt, the firm focuses on filling high-impact roles like Senior Project Managers, Commissioning Engineers, MEP Coordinators, Owner's Representatives, and VDC Leads.

Their approach is rigorous - they screen out 85% of applicants based on qualifications alone. But it doesn’t stop there. iRecruit.co digs deeper with competency-based evaluations, asking candidates to explain how they’ve handled real-world challenges, like a failed commissioning script or an audit issue, to assess skills that don’t show up on a résumé [16].

The firm operates on a success-based pricing model, meaning owners only pay for results. Plus, they offer a 90-day search credit to replace critical hires if needed, adding an extra layer of security.

"The supply of people who have genuinely delivered this work cannot keep pace with the demand for it." - iRecruit.co [16]

In today’s market, finding the right talent through focused planning and thorough screening is just as essential as using the latest construction technology.

Actionable Playbook for 2026 Data Center Projects

Owners who plan ahead are much more likely to deliver their projects on time and within budget. Here's how to turn that foresight into a solid action plan.

Project Planning Checklist for Owners

In 2026, power availability will be the single most important factor in site selection. With grid connection wait times stretching to 5–10 years in major markets [1], securing a Memorandum of Understanding (MOU) with your utility years before breaking ground is no longer optional - it’s critical. As noted by JLL:

"Speed to power is now the primary criterion in hyperscale site selection, ahead of community support, latency and proximity to customers." [1]

Start early by locking in power agreements and directly procuring long-lead items like switchgear and generators, which can take anywhere from 8 to 24 months to arrive [1]. Combine this with a baseline design that supports 60–100 kW per rack and includes Direct Liquid Cooling (DLC) infrastructure from the outset. This ensures your facility is ready to handle the growing demands of AI workloads at the world's largest data centers.

Phase Key Action
Site Selection Secure power MOU; confirm interconnection queue position
Design Integrate DLC infrastructure; specify owner-furnished equipment (OFE)
Procurement Direct-purchase critical equipment with long lead times (18+ months)
Commissioning Develop and finalize L1–L5 testing scripts during the design phase

Treat your project as part of a larger, coordinated program. Owners who implement standardized, repeatable designs across multiple sites can improve cost predictability by 1–2%. While this might seem small, the savings add up considerably when scaled across multiple locations [1]. These steps lay the groundwork for a well-executed build program.

Workforce and Talent Playbook

Just as early technical decisions keep timelines intact, proactive workforce planning is equally vital for long-term success. The principle is straightforward: secure senior leadership and critical roles early to avoid unnecessary risks and delays.

For multi-site programs, a blended staffing model works best. This approach involves maintaining a core team of permanent leaders who carry institutional knowledge across projects, while bringing in specialized contractors during high-demand phases. For particularly hard-to-fill roles, working with specialized recruiters like iRecruit.co can help you tap into passive candidates who aren’t actively job-hunting.

"Mission-critical isn't a marketing word - it's a description of what the build cannot afford to get wrong." - iRecruit.co [16]

Key Takeaways and Next Steps

By prioritizing early power agreements, precise equipment procurement, and proactive hiring, owners can better navigate the challenges of 2026 data center projects. The industry is facing three major pressures: the steep costs of AI-optimized builds, which run $15M–$20M+ per MW [12]; schedule risks tied to grid and equipment delays; and a talent shortage that could leave 340,000 positions unfilled [1].

Owners who act early - securing power, adopting OFE procurement strategies, designing for AI density, and staffing key roles before mobilization - will be in the best position to succeed. Waiting too long will mean fighting over scarce resources like electricians, commissioning engineers, and manufacturing slots, all at a higher cost.

FAQs

How can I secure power fast enough for a 2026 data center site?

When it comes to securing power efficiently, energy considerations need to be front and center during site selection - not an afterthought. Bring energy consultants on board early in the real estate screening process to help identify regions with favorable power infrastructure. Prioritize areas with strong utility capacity and manageable interconnection timelines to avoid delays.

It’s also smart to plan ahead for electrical equipment, as lead times can be lengthy. If utility delays seem likely, explore on-site generation options such as natural gas turbines or battery systems to keep things on track. Another strategy is phased energization, which aligns power availability with your construction milestones, ensuring progress isn’t stalled by energy constraints.

What should I buy early to avoid long-lead equipment delays?

To keep your 2026 projects on track, it's crucial to start procurement early. Instead of waiting for leases to be signed or designs to be finalized, align your purchasing strategy with market forecasts. Some key equipment comes with long lead times, so acting early can save you from costly delays.

Here are the major items to prioritize:

  • Large power transformers: These can take up to 60 months to arrive.
  • Generators and switchgear: Essential for power systems, these often have extended delivery timelines.
  • UPS systems: Critical for uninterrupted power supply.
  • Cooling equipment: Items like chillers, air handling units (AHUs), and cooling towers are must-haves for climate control.

Don't forget the smaller components either. Items like brackets and fire protection fittings may seem minor, but even small missing pieces can bring a project to a standstill. Early planning and procurement can make all the difference.

Which delivery model fits a fast, AI-ready build (Design-Build, EPCM, IPD)?

For quick, AI-ready data center projects, choosing the right delivery model hinges on your priorities: speed, control, and risk management.

  • Design-Build and EPC approaches combine design and construction into a single process, helping to simplify workflows and shorten timelines.
  • A multi-prime, risk-sharing model encourages early involvement of trade partners, which is particularly effective for projects where speed is critical.
  • IPD (Integrated Project Delivery) works best for complex, fast-tracked builds. This model focuses on shared risks and rewards, transparent costs, and collaborative decision-making among all stakeholders.

Each model offers distinct advantages, depending on the specific needs of your project.

Related Blog Posts

Keywords:
data center construction, AI-ready data centers, modular construction, power procurement, workforce planning, liquid cooling, long-lead equipment, delivery models
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