NSC Insights • Infrastructure & Defense

The Hidden Cost of Waiting Too Long

The costs of waiting rarely show up as a line item. They show up as a shorter recruiting window, a contractor absorbing overtime, and a commissioning team without the people who built the system standing next to them at turn-up.

9 min read • September 2026
326K
Construction job openings nationwide, July 2026 (BLS)
+9%
Projected electrician employment growth, 2025 to 2035, faster than average (BLS)
9.9 mo
Avg. contractor backlog for data center work, vs. 8.3 mo without (ABC)
77%
Data center capacity under construction now in frontier markets (JLL)

Key Takeaways

  • Waiting to plan workforce needs does not remove the cost, it moves the cost into the schedule: a shorter recruiting window, more expensive labor, or a phase that starts short-staffed.
  • Construction nationwide is already tight (326,000 job openings in July 2026, BLS) and getting tighter for specialized trades like electricians, projected to grow 9% through 2035, much faster than average (BLS).
  • Contractors carrying data center work already run longer backlogs than the rest of the industry (9.9 months vs. 8.3 months, ABC), leaving little slack to absorb a late hiring scramble.
  • A staffing gap in one phase does not stay contained. It pushes into the next: commissioning cannot start until fit-out is staffed and verified, and operations cannot take over cleanly until commissioning has the right people in the room.
  • Waiting is riskiest for organizations building more than one facility. 77% of data center capacity now under construction sits in frontier markets that have not built up the same technical labor bench as established hubs (JLL).

Every data center project has a budget for construction, equipment, and commissioning. Few have a line item for what it costs to staff a phase after the ideal hiring window has already closed.

That cost is real, even when it never appears as its own number. It shows up as a recruiting search that starts with fewer qualified candidates than it would have found six months earlier. It shows up as a general contractor absorbing overtime to hit a milestone that slipped because a cabling crew came together late. It shows up in the handoff between construction and operations, when the people who understand how a system was built are gone before the people running it ever meet them.

This is not a restatement of the case for starting workforce planning early. That case has already been made. This is a closer look at what actually happens, operationally and financially, when organizations wait anyway: what a compressed recruiting window costs a project in options and leverage, how a staffing gap in one phase becomes a scheduling problem in the next, and why reactive staffing gets harder, not easier, as an organization scales to multiple sites.

The Costs You Do Not See on the Original Project Budget

Most data center budgets account for labor, but they account for it as a rate: a burdened hourly cost for electricians, cabling technicians, or commissioning specialists, applied against an estimated schedule. What that line item does not capture is what happens when the schedule assumes an availability of workers that is not actually there when the project needs them.

Those costs surface in a handful of predictable ways. A recruiting search that starts once a role is already needed pulls from a smaller, more expensive pool than one that starts months earlier. A general contractor short a crew during fit-out has fewer options: pay a premium for available labor, compress the schedule elsewhere to absorb the delay, or let the date slip. None of those options were priced into the original plan, because the plan assumed the workforce would simply be there when needed.

Overtime is one of the more measurable examples. Construction Industry Institute research on scheduled overtime found that sustained 5-day and 6-day extended work weeks produced measurable efficiency losses, roughly 12 percent and 14 percent respectively in its data, along with a sharp increase in the frequency of resource disruptions that slow work further. That study is decades old, but it remains one of the most cited references on the topic because the underlying dynamic has not changed: overtime bought to compress a schedule delivers less additional output than the hours purchased would suggest, and it delivers even less the longer it runs.

Layer that against a labor market where construction job openings sat at 326,000 nationally in July 2026 (U.S. Bureau of Labor Statistics), and where contractors carrying data center work already run longer project backlogs than the rest of the industry (9.9 months versus 8.3 months, Associated Builders and Contractors). There is less slack in the system to absorb a late staffing decision than there was a few years ago, not more.

"The risk is not zero, and it is not visible in a budget built on the assumption that the right people will be available exactly when the schedule calls for them."

None of this means every project that waits will experience every one of these costs. It means the risk is real, and it does not show up until the schedule or the invoice does.

A Shorter Recruiting Window Means Fewer Workforce Options

Recruiting timelines are not fixed. They stretch or compress based on how early the search starts relative to when the role is actually needed, and that stretch or compression changes the options available.

A search that begins during design and pre-construction has time to identify candidates, verify experience on comparable projects, and align start dates with the project schedule rather than forcing the schedule to bend around whoever is available. A search that begins because a role is urgent has none of that. It takes whoever is available, on whatever timeline they can start, often at a premium, because the alternative is an open seat on a critical path.

The labor pool a late search draws from is also more contested than it looks from the outside. Electricians, one of the trades most central to data center fit-out and commissioning, are projected to see 9 percent employment growth from 2025 to 2035 (U.S. Bureau of Labor Statistics), much faster than the average for all occupations, with roughly 72,700 average annual job openings projected over the decade. That demand is not coming from data centers alone. It is shared with commercial construction, manufacturing, utilities, and telecommunications infrastructure, all drawing on many of the same skill sets on similar timelines.

Structured cabling, low-voltage, and commissioning technicians face a version of the same dynamic. These are not roles with a large standing bench of idle, qualified workers waiting for the next project. When a project waits to source them until they are urgently needed, it is competing for the same narrow pool as every other project on a comparable schedule, at the exact moment demand across the sector is highest.

The result is not always a role that goes unfilled. More often, it is a role filled later than planned, filled by someone with less directly relevant experience, or filled through a short-term contractor at a premium rate. Each of those outcomes is a workaround for a timing problem, not a solution to it.

Quick Assessment

If a critical technical role opened today, how much recruiting lead time would your team actually have?

The answer says a lot about how much schedule risk is already built into the plan.

When One Workforce Gap Starts Affecting the Next Project Phase

A data center project moves through phases that depend on each other. Fit-out has to be substantially complete before commissioning can start. Commissioning has to be complete and verified before turn-up. Turn-up has to succeed before operations can take over with confidence. A staffing gap in one phase does not stay contained to that phase. It pushes into the one after it.

This is where reactive staffing does the most damage, and where it is hardest to see coming from the project plan alone. A cabling crew that comes together late during fit-out does not just delay fit-out. It compresses the window commissioning teams have to do their work, because the overall delivery date usually does not move even when the phase feeding into it does. Contractors already carrying longer project backlogs when they hold data center work, 9.9 months on average versus 8.3 months for contractors without it (Associated Builders and Contractors), have less capacity to absorb that kind of compression without it showing up somewhere else in the schedule.

The highest-risk version of this pattern shows up at the transition from construction to operations. When operations and NOC staff are hired only after commissioning wraps, they inherit systems they did not help build, test, or validate, at the exact moment the facility is going live for customers. Knowledge that lived with the commissioning team (why a system was configured a certain way, what was tested and what was deferred) has to be reconstructed from documentation instead of transferred directly. That reconstruction takes time the operations team usually does not have, because it is happening during or after turn-up rather than before it.

Quick Assessment

When does your team identify the workforce needed for each project phase?

This is a good proxy for how much of your schedule risk is still avoidable.

None of this requires a dramatic shortage to create real risk. It requires one staffing decision made a phase later than the project's own timeline required, repeated at each handoff, until the cumulative effect is a project that reaches turn-up with less margin than the schedule assumed.

Reactive Staffing Gets Harder Across Multiple Sites

Everything above compounds for organizations building or operating more than one facility at a time. A single project that waits to plan its workforce is competing for talent against other projects. A multi-site program that waits is competing against itself as well, because the same limited pool of experienced technicians is often the one every site is trying to draw from at once.

That problem is getting harder because of where new capacity is actually being built. Data center construction is moving into markets that did not have a data center industry a decade ago. JLL's midyear 2026 North America data center report found that 77 percent of capacity currently under construction is now in frontier markets, well beyond the traditional hub regions. Those markets have not had the years of sustained data center construction that build up a deep local bench of structured cabling, low-voltage, and commissioning technicians the way established hub markets have.

For an organization scaling across several of these sites at once, reactive staffing means repeating the same late search in market after market, often with a thinner local labor pool each time. A staffing approach that works when a single project can pull from an established hub's experienced workforce does not scale cleanly to a program of projects spread across markets that are still building that bench for the first time.

Planning workforce needs earlier does not eliminate this challenge. It gives a program time to sequence its hiring across sites, decide where experienced staff can be shared or rotated between projects, and identify which markets will require more lead time than others, decisions that are difficult to make well once multiple sites are already competing for the same people at the same time.

Build Workforce Milestones Into the Project Plan

Treating workforce timing as a source of project risk, rather than a construction-phase logistics task, changes what gets planned for and when. A few practices make that shift concrete.

Map workforce needs to project phases during design and pre-construction, not once a phase begins. Identify which roles are needed, in what volume, at each stage from fit-out through commissioning and early operations, and treat that mapping as part of the schedule, alongside design and permitting milestones.

Build in overlap at transitions instead of clean handoffs. Staff who carry knowledge from construction into commissioning, and from commissioning into early operations, reduce the reconstruction problem described above. That overlap has to be planned for; it does not happen by accident once staffing is already reactive.

Account for lead time on the roles that are hardest to source quickly. Structured cabling, low-voltage, and commissioning technicians are not roles a project can typically staff on short notice in a tight market, and the data above suggests that market is not loosening.

For multi-site programs, sequence hiring across projects rather than treating each site as its own isolated search. Decisions about where experienced staff can rotate, or where a market will need more lead time, are easier to make before three sites are competing for the same technicians at once.

Anistar supplies technical workforce across the data center lifecycle, including structured cabling and low-voltage technicians, rack and pathway installers, and electrical and controls technicians for infrastructure and fit-out; deployment, network, and security technicians and test and validation support for systems integration and testing; and data center technicians and NOC or monitoring staff for turn-up and early operations. Anistar works with project and operations leaders to align that staffing with program schedules, and handles sourcing, screening, documentation, and payroll administration behind each placement, so internal teams stay focused on delivery rather than recruiting logistics. Explore Anistar infrastructure staffing, or connect with our team to map workforce milestones against your project schedule.

Plan the Workforce Before the Cost of Waiting Shows Up

Anistar supports technical staffing across the full data center lifecycle, from structured cabling and low-voltage crews through systems integration, commissioning, and early operations, so workforce timing does not become the variable that puts your schedule at risk.

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Frequently Asked Questions

A useful test is lead time, not calendar time. If the technical roles needed for an upcoming phase (structured cabling, low-voltage, commissioning, or NOC staff) have not been identified and sourcing has not started, the project is likely relying on the labor market being available exactly when needed. In the current market, that is not a safe assumption to build a schedule on.

Design and pre-construction, not after groundbreaking. Workforce needs can be mapped to project phases at the same time budget, schedule, and design decisions are being made, well before site work begins. Starting this early does not require final headcount numbers, only an early view of which roles will be needed and when.

There is no single, verified, industry-wide figure for this, and any number claiming to be one should be treated skeptically. What is well documented is the mechanism: contractors carrying data center work already run longer project backlogs than the rest of the industry (ABC), and sustained scheduled overtime produces measurable efficiency losses in construction labor (Construction Industry Institute). Together, these point to real cost exposure, even without a single universal dollar figure attached to it.

Operations and NOC staff being hired only after commissioning is complete. When that happens, the people running the facility did not help build, test, or validate it, and have to reconstruct that knowledge from documentation rather than receiving it directly from the team that has it. Planning for staffing overlap at this handoff is one of the highest-leverage decisions in the whole lifecycle.

It has to account for competition between your own projects, not just against the broader market. Multi-site programs benefit from sequencing hiring across sites, identifying where experienced staff can rotate between projects, and recognizing that newer, frontier-market sites often have a thinner local technical labor pool than established hub markets.

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