The construction industry loses $10.81 billion every single year because we don’t have enough workers.

Read that again.

Not because of material costs. Not because of permit delays. Because we physically cannot find enough people to do the work.

And while contractors sit around debating whether AI is “ready” for construction, the workers who could bridge that gap are choosing other careers. The projects that could get built are sitting on paper. The money that could flow into your business is flowing to your competitors who figured this out already.

The Numbers Don’t Lie

The Associated Builders and Contractors reports the industry needs 439,000 new workers this year alone. Over the next decade, we’ll need 1.9 million workers just to keep pace with growth and retirements.

Where are they coming from?

Right now, 92 percent of contractors report having a hard time filling open positions. Nearly half say labor shortages are the direct cause of project delays.

Meanwhile, a RICS global survey found that 45 percent of construction organizations have zero AI implementation. Not “limited” AI. Not “experimental” AI. Zero.

Here’s what gets me: another survey from Bluebeam found that 56 percent of respondents believe AI will compensate for the ongoing shortage in construction skills. They believe it will help. They just haven’t done anything about it.

The gap between knowing and doing is where projects die.

The Productivity Problem Nobody Wants to Talk About

Construction productivity has been declining by roughly one percent per year since 1970.

Let that sink in. A construction worker in 2020 actually produced less than a construction worker in 1970.

During that same fifty year stretch, overall economic productivity nearly tripled. Manufacturing productivity increased ninefold. And construction went backwards.

According to research from the University of Chicago Booth School of Business, if construction productivity had grown at just one percent annually since 1970, annual aggregate labor productivity would be about 10 percent higher today. That translates to roughly $1 trillion every five years in lost economic value.

The industry that builds everything has somehow failed to build a way to work smarter.

AI Changes the Math

Here’s what most contractors miss about AI: it’s not about replacing workers. It’s about making the workers you have dramatically more productive.

A Gartner survey of business leaders found the average anticipated productivity improvement from generative AI implementations was 22.6 percent. Some studies show ChatGPT improving worker productivity by 37 percent.

Think about what that means for your crew. If AI helps your project manager write scope documents 30 percent faster, that’s 30 percent more time spent actually managing the project. If your estimator can analyze bids and historical data in minutes instead of hours, that’s hours freed up for the judgment calls that win work.

Anthropic’s research on real world AI conversations found a median time savings of 84 percent on tasks where AI assisted. Not theoretical tasks in a lab. Real work that real people were doing.

The math gets simple fast. You can’t hire your way out of a 439,000 worker shortage. But you can make your existing team perform like they’re twice as big.

The Training Gap Is Your Opportunity

Only 27 percent of architecture, engineering, and construction professionals currently use AI in their operations. But here’s the kicker: 94 percent of those already using AI plan to increase their usage in 2026.

The early adopters aren’t experimenting anymore. They’re scaling up.

Meanwhile, 52 percent of survey respondents still use paper during the design phase. Nearly half use paper during planning.

There’s a massive divide forming in this industry. On one side are companies embracing tools that multiply their workforce. On the other side are companies drowning in paperwork, losing bids to faster competitors, and watching their best people burn out from doing everything the hard way.

Which side do you want to be on?

The Real Cost of Waiting

Every month you delay AI training, you lose ground you won’t recover.

Your competitors who started six months ago aren’t just saving time. They’re building institutional knowledge. Their estimators are learning which prompts work best for their specific bid processes. Their project managers are developing workflows that compound their efficiency gains. Their field teams are finding applications you haven’t even considered yet.

The gap widens daily.

The biggest barriers to construction technology adoption aren’t cost. According to Bluebeam’s CEO, “they’re complexity, culture, and connection.” Training solves all three. It reduces complexity by making tools approachable. It shifts culture by showing people what’s possible. It creates connection by linking AI capabilities to real construction workflows.

What Winning Looks Like

The companies succeeding with AI aren’t starting with massive enterprise deployments. They’re starting with practical applications that solve immediate problems.

An estimator who learns to use AI for bid leveling and historical analysis. A project manager who automates meeting notes and RFI responses. A superintendent who uses voice tools to document site conditions without stopping work.

These aren’t science fiction applications. This is what I teach in every workshop. Practical, immediately applicable skills that compound over time.

The survey data shows that 85 percent of respondents believe AI will reduce time spent on repetitive tasks. Another 75 percent anticipate AI will improve learning from past projects.

The technology exists. The applications are proven. The only question is whether your team knows how to use it.

The Bottom Line

The construction industry faces a perfect storm. A severe labor shortage that isn’t getting better. A productivity decline that’s been getting worse for five decades. And a massive wave of infrastructure investment that demands more output than we can currently deliver.

AI won’t magically solve all of this. But it’s the closest thing we have to a force multiplier for the workers we do have.

The companies that train their people now will be the companies that capture the opportunities ahead. The companies that wait will be the companies wondering what happened.

That $10.81 billion in annual losses from workforce shortages? That’s money sitting on the table. The question is whether your company is going to grab it.

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Carl Britton Jr. is the Lead Consultant of Iron Thread Consulting and delivers AI workshops for construction trade associations including NECA, SMACNA, and MCA chapters nationwide. With 20 years in construction and 15 years in technology, he speaks construction, not tech. Learn more at ironthread.online.