Good morning, NREB readers.

As always, we're here to keep real estate professionals informed while cutting out the fluff. Let's get right into it.

When people talk about the artificial-intelligence boom, the conversation usually starts with software.

Chips.

Servers.

Tech stocks.

Electricity.

But all of that computing power has to live somewhere.

And building those places requires an enormous amount of something the housing industry already has trouble finding:

skilled tradespeople.

Electricians.

HVAC technicians.

Plumbers and pipefitters.

Equipment operators.

Concrete crews.

Project managers.

The same broad labor pool that wires homes, installs air-conditioning systems, completes new subdivisions, handles remodels, and performs repairs is increasingly being asked to build one of the fastest-growing categories of commercial infrastructure in the country.

For housing, that makes the AI boom a labor story too.

The scale has moved quickly.

Data-center construction spending reached a seasonally adjusted annual rate of $59.3 billion in May 2026, according to Census Bureau data compiled by the Associated General Contractors of America.

That was 23% higher than a year earlier.

Data centers now account for roughly 8% of all private nonresidential construction spending.

And contractors do not expect the boom to disappear tomorrow. In AGC's 2026 industry outlook, 57% of contractors expected the dollar value of available data-center projects this year to exceed 2025 levels.

These are not ordinary office buildings.

A data center requires extensive electrical capacity, backup power, cooling equipment, piping, controls, communications infrastructure, and connections to the broader power grid.

That means a disproportionately large amount of the work falls into specialized trades.

And those workers were not sitting around waiting for AI to arrive.

The construction industry already entered this boom with a workforce problem.

In AGC's 2026 contractor survey, 82% of firms reported difficulty filling hourly craft positions.

The Bureau of Labor Statistics projects about 81,000 electrician openings per year, on average, between 2024 and 2034. Some of those openings represent growth, while many will be needed simply to replace workers who retire, change occupations, or leave the labor force.

Electrician employment itself is projected to grow 9% over the decade, much faster than the average occupation.

Housing needs those workers.

Utilities need those workers.

Manufacturing projects need those workers.

Commercial construction needs those workers.

And now a rapidly expanding data-center industry needs them too.

That does not mean every residential electrician can walk directly onto every highly specialized data-center job. The work, licensing, experience, and project requirements can differ substantially.

But there is enough overlap in the broader skilled-trade workforce that the competition is becoming visible.

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There is an interesting divide inside construction employment itself.

In May, nonresidential specialty-trade contractors employed 57,400 more workers than a year earlier.

Residential specialty-trade contractors, by comparison, employed 25,100 fewer workers than a year earlier.

Residential building contractors were also down 8,200 workers over the same period.

Those numbers do not prove that 25,100 residential workers simply packed up their tools and moved to data centers.

Construction employment changes for many reasons: housing demand, project pipelines, financing costs, regional conditions, worker availability, and business decisions all play a role.

But the direction is worth noticing.

Some of the strongest construction demand in the country is coming from data centers, power facilities, and related infrastructure.

At the same time, homebuilders are trying to operate in a slower housing market while competing for many of the same categories of skilled labor.

Realtor.com's midyear housing outlook specifically called this out, describing increased demand for skilled workers in data-center construction as positive for the workers themselves but challenging for builders and homeowners looking to hire contractors.

That tension is already becoming real in some markets.

Abilene, Texas, offers an unusually clear example.

The area is home to a massive AI data-center buildout, while also needing residential construction for a growing population.

A local homebuilder interviewed by The Texas Tribune said his homes were taking roughly two months longer to complete because subcontractors were struggling to keep enough workers.

His electrician had lost experienced workers to the data-center project.

The reason was not mysterious.

Large infrastructure projects can offer compensation and project volume that smaller residential contractors have difficulty matching.

That does not mean every data-center market will experience the same result, or that Abilene should be treated as a national forecast.

It does show what can happen when a very large project arrives in a relatively constrained local labor market.

Suddenly, a housing developer is not merely competing with the subdivision across town for an electrician.

It may be competing with a multibillion-dollar technology project.

The timing is awkward because homebuilding already has plenty of constraints.

Land costs.

Financing costs.

Materials.

Permitting.

Infrastructure.

Insurance.

Buyer affordability.

Local regulation.

Labor is one more variable, but it is a particularly stubborn one because the supply cannot expand overnight.

You can order more lumber.

You cannot order an experienced licensed electrician and have one delivered next Tuesday.

Many skilled trades require apprenticeships, supervised work, licensing, certifications, and years of experience.

That makes labor supply slow to respond when demand suddenly accelerates.

If one large project attracts dozens or hundreds of skilled workers in a local market, the immediate response may not be an equally large class of replacement workers.

It can instead be:

higher wages,

longer lead times,

smaller contractors struggling to staff jobs,

and projects waiting for crews to become available.

For an industry already trying to add housing supply, those delays matter.

This is not a reason to tell every client in America that AI is making their house more expensive.

That would be an enormous overstatement.

Data-center development is geographically concentrated, and the construction-labor market varies dramatically by region.

A market with deep trade capacity and established industrial construction may absorb a new project much more easily than a smaller market with a limited contractor base.

The size and timing of the project matter too.

One facility is different from an entire corridor of campuses, substations, transmission work, manufacturing facilities, and related infrastructure being built at once.

That means the useful question is not:

Are data centers affecting housing?

The useful question is:

Are they affecting housing here?

In Northern Virginia, parts of Texas, Arizona, Georgia, Ohio, Louisiana, and other markets attracting large technology-infrastructure investment, the answer may increasingly be yes.

Elsewhere, the effect may be negligible.

Real estate remains local, and so does the labor market that builds it.

For existing-home transactions, a tight contractor market can be inconvenient.

For new construction, labor availability can affect the production schedule itself.

A builder needs multiple trades to arrive in sequence.

One crew finishes.

Another comes in.

Then another.

If an electrician is delayed, the next stage may not simply continue around them.

The schedule can stack up.

That matters because new construction plays an increasingly important role in some of the markets where housing supply has expanded the most.

A development can have lots available, buyer interest, and financing lined up and still be limited by how quickly homes can physically be completed.

For agents selling new construction, the lesson is not to assume that a builder's advertised inventory tells the entire capacity story.

Finished homes, homes under construction, planned starts, and lots that could theoretically support future homes are four different things.

The available workforce helps determine how quickly one becomes the next.

There is another side of the same labor market.

Homeowners need electricians and HVAC technicians too.

So do buyers after inspection.

So do sellers preparing a property for market.

So do landlords maintaining rentals.

If the local trade market becomes unusually tight, the consequence is not necessarily that a contractor disappears completely.

It may be that the appointment that once took three days takes two weeks.

A project that once fit easily into a pre-listing timeline may need to be scheduled earlier.

A repair estimate may rise because the contractor's labor cost has increased.

A homeowner may simply decide a discretionary project can wait.

Those are small individual decisions, but across a housing market they matter.

The physical condition of America's housing stock does not pause while infrastructure investment accelerates.

Roofs keep aging.

Air conditioners still fail.

Electrical panels still need work.

Homes still need to be built.

There is a positive side to this story too.

The workers themselves are becoming more valuable.

Construction wages have been rising faster than wages across the broader private sector.

In May, average hourly earnings for production and nonsupervisory construction employees reached $38.97, up 5% from a year earlier.

That was faster than the 3.6% increase for comparable workers across the private sector overall.

Strong wages can attract people into construction careers.

More demand can support apprenticeships and training.

And an infrastructure boom large enough to expose the shortage can also create stronger incentives to expand the workforce.

That would ultimately benefit more than data centers.

Housing would benefit from a larger pipeline of electricians, HVAC technicians, plumbers, and other skilled workers too.

The problem is timing.

Training the next generation of tradespeople takes years.

The projects need workers now.

There is another wrinkle for local real estate markets.

Large infrastructure projects do not only consume construction labor.

They also create jobs and bring workers into communities.

During construction, that can mean temporary housing demand.

Longer term, a completed facility supports a smaller but more permanent workforce, along with contractors, suppliers, utility employees, and related businesses.

So the same project can push on housing from two directions.

It can increase the number of people needing places to live.

And it can make some of the labor needed to build those places harder to obtain.

Whether that produces meaningful pressure depends heavily on the size of the local market.

Thousands of workers entering a huge metro may barely register.

Hundreds entering a smaller community can matter quite a bit.

That is another reason national headlines about the AI boom are less useful than knowing where the physical investment is actually occurring.

Housing professionals are accustomed to discussing supply in terms of listings.

How many homes are active?

How many months of inventory?

How many new starts?

But housing supply ultimately depends on physical capacity too.

Land has to be developed.

Utilities have to be installed.

Homes have to be framed.

Electrical systems have to be wired.

Plumbing has to be connected.

Heating and cooling systems have to be installed.

Repairs have to be completed.

When another industry creates enormous demand for the workers who perform those jobs, it becomes part of the housing-supply equation whether we call it a real estate story or not.

That is what makes the data-center boom worth watching.

You do not need to become an expert on artificial intelligence or data-center engineering.

You need to know whether large construction projects are beginning to change the environment your clients operate in.

A few things are worth paying attention to locally.

Major project announcements. A multibillion-dollar data center, semiconductor facility, power project, or manufacturing campus can create a very different labor effect than ordinary commercial development.

Builder timelines. If new homes are consistently taking longer to complete, find out what part of the construction process is causing the delay.

Contractor lead times. Electricians, HVAC companies, plumbers, and other specialty contractors can provide an early signal that labor demand is tightening.

Labor costs. If builders and remodelers are repeatedly citing higher labor costs rather than material costs, that tells you something different about the constraint.

Temporary housing demand. Large construction workforces can affect rentals, extended-stay housing, and certain parts of the local resale market before a facility is even operational.

The pipeline, not just the project. One completed data center matters less than ten more that have already been approved nearby.

This will not be relevant in every NREB reader's market.

Where it is relevant, though, it may become increasingly difficult to separate the local housing story from the infrastructure boom happening beside it.

There is something almost ironic about one of the most technologically advanced investment booms in history.

AI may automate an extraordinary number of tasks.

But somebody still has to wire the building.

Somebody has to install the cooling.

Somebody has to run the pipe.

Somebody has to connect the power.

And many of those are the same people the housing industry needs to build and maintain homes.

That does not make data centers the cause of America's housing shortage.

They are not.

It does mean a housing industry already short on skilled labor now has another deep-pocketed competitor for part of that workforce.

In some markets, that competition is already showing up in project schedules and contractor availability.

So while the technology world focuses on how many chips can fit inside the next data center, housing professionals may want to watch something much more ordinary:

who is available to build it—and what else those workers are no longer available to build.

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