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How Construction's Tech Leaders Are Tackling the Perfect Storm of 2026
I was listening to a panel of construction CIOs and Chief Innovation Officers last week, and one of them said something that made me put down my coffee.
"If we carry forward the processes that got us through five years ago, they're not going to get us through today and they're certainly not going to get us through 2030."
That was Jeff Miller, CIO at Clayco. He came to construction from Honeywell, where he spent five years building quantum computers. Now he's helping one of the largest design-build firms in America figure out how to build faster, smarter, and with fewer people than they've ever had.
And he's not alone.
Across the industry, a new breed of technology leader is emerging: people who are bridging the gap between what construction has always been and what it needs to become. They're not just IT managers keeping the servers running. They're strategic partners helping construction companies navigate what might be the most challenging operating environment we've ever faced.
And the challenges? They're all hitting at once.
The Perfect Storm
Let's start with the numbers that should make every construction leader uncomfortable:
The industry needs 499,000 additional workers in 2026 just to keep pace with demand. That's up from 439,000 last year. If current trends persist, we're looking at a potential shortage of over two million skilled craft professionals by 2028.
Meanwhile, 95% of construction data goes unused. Not some of it. Not the complicated stuff. Ninety-five percent. All those daily logs, progress photos, RFI responses, delivery confirmation, most of it never gets connected back to anything meaningful.
And then there's AI. According to Bluebeam's 2026 Technology Outlook, only 27% of AEC firms are actually using AI for automation or decision-making. But here's the interesting part: among early adopters, 68% have saved at least $50,000, and nearly half saved 500-1,000 hours using AI tools.
So we're short on people, drowning in unused data, and sitting on technology that works but most companies aren't using.
Welcome to 2026.
The Real Question Nobody's Asking
Here's what struck me about that panel discussion: these aren't technology people who happen to work in construction. They're construction problem-solvers who happen to use technology.
Joss Chamberlain, who leads innovation and technology at Pomerleau (a $7 billion Canadian GC), came from banking. He said something that should be tattooed on the forehead of everyone buying construction software:
"The biggest trap you can avoid is this: you need to make sure you're actually addressing a business problem. Everybody wants AI, but people don't actually know why. I asked them: what problems are you trying to solve? And people didn't know."
This is the mistake I see over and over again in our industry. Someone goes to a trade show, sees a shiny demo, and comes back saying, "We need AI." Or drones. Or BIM. Or whatever the buzzword of the month is.
But the question isn't "What technology should we buy?"
The question is "What problem are we actually trying to solve?"
Because sometimes the answer isn't technology at all. Sometimes it's a bad process. Sometimes it's a people problem. And sometimes, yes, technology is the perfect solution. But you won't know which until you define the problem first.
Augmentation, Not Replacement
There's a fear that runs through every conversation about technology in construction: "Are they coming for our jobs?"
The honest answer? No, and we don't have enough people for that anyway.
The panel kept coming back to this theme: technology isn't about replacing the workforce. It's about augmenting it. Data centers are booming. Infrastructure spending is through the roof. Commercial projects are stacking up faster than we can staff them. Everyone's asking us to go faster.
So it's not about getting rid of anyone. It's about whether we can actually move at the speed the industry demands.
Jeff Miller put it perfectly: "If I can take ten project engineers, augment them so that five can do the same job, we can now start looking at taking on two jobs at the same time instead of one. That's going to be key to unlocking further growth."
That's the mindset shift. Technology isn't a threat to your workforce, it's the only way to keep your workforce from burning out.
The Data Foundation Problem
Before you can do anything meaningful with AI or automation, you have to solve the data problem. And here's what the industry leaders are discovering: we actually generate enormous amounts of data. The challenge isn't collection, it's standardization and connection.
Joss Chamberlain was refreshingly honest about what he found when he came to construction from banking:
"The quantity of data we generate is amazing. Drawings, RFIs, daily logs, there's very few industries that generate so much data. The challenge is how you capture it, standardize it, and then leverage it. Because of the way systems were originally set up, nothing talks to each other. Everybody's in the middle of an Excel spreadsheet."
Sound familiar?
But here's the encouraging part: according to Chamberlain, there's actually very little resistance to change in construction. People aren't pushing back. They're asking how fast they can get there. The bottleneck isn't willingness, it's providing solutions that are easy to use and immediately valuable.
His team proved this with a procurement tool they built. They needed historical pricing data, but it didn't exist in any usable format. So they took a pragmatic approach: they scanned all the receipts and Po's literally, across 200 job sites. Brute force. "Very manual," he admitted. But once the data was clean and accessible? People used it instantly. Now superintendents can see what other job sites paid for cement, compare vendors, check historical trends, all at their fingertips.
The lesson: sometimes you have to do the unglamorous cleanup work before the glamorous AI stuff becomes possible.
The 5 Things That Actually Matter
Based on what these technology leaders shared and what we're seeing across our own clients here in Arizona, here's what separates the companies that are thriving from the ones that are struggling:
- Start with the business problem, not the technology. Before you evaluate any tool, identify the specific pain point you're trying to solve. "We need AI" is not a strategy. "Our submittals take too long and we keep missing deadlines" is a problem you can actually solve.
- Focus on controllable variables. Alicia Lopez, Chief Innovation Officer at Flatiron Drogados, said her company focuses exclusively on what they can control. "There are a lot of geopolitical and macro variables we cannot control. So we're focusing on how we can prepare our company for the future, how we can train our employees with the tools that are coming out."
- Make data actionable at the point of decision. Data that helps someone in corporate doesn't move the needle. Data that helps the super in the field trailer make a better decision right now? That changes everything. If your field team is entering data that nobody uses, you've got a broken feedback loop.
- Kill pilots that aren't working, and do it fast. Chamberlain was blunt: "The more rapidly you can kill something that's not working, the more focused you get on stuff that really makes a difference." People hate killing projects they've invested in. But resources are finite, and doubling down on failures is how technology budgets die.
- Put people at the center. Lopez put it simply: "Technology tools, that's the easy part. For me, it's about fostering a culture of innovation within the company. People have to be at the center of everything we do. Otherwise, we're not going to be successful."
The Uncomfortable Truth About AI Security
I appreciated that the panel didn't shy away from the hard questions. When asked about data security with AI tools, Jeff Miller, who spent eight years as a Chief Information Security Officer before becoming CIO, gave the most honest answer I've heard:
"I don't think there is a good answer for that yet. That's a very scary position to be in. There's such a gap in the transparency and observability as to what is happening behind the scenes that is frightening to me. It definitely keeps me awake at night."
This matters because too many vendors are hand-waving security concerns away. The truth is that the major AI providers: OpenAI, Anthropic, and others, are getting better but the industry is moving so fast that security isn't always the first consideration.
The Bluebeam research backs this up: data security and privacy concerns were the top barriers to AI adoption, cited by 42% of respondents. Another 69% said concerns about potential AI regulations have impacted their efforts.
The takeaway? Be thoughtful. Establish guardrails. Don't dump your company's sensitive data into every shiny new AI tool that comes along. Progress matters, but so does protecting your business.
What This Means for Arizona Builders
Here in the Valley and Tucson, we're feeling all of this acutely. Data centers are reshaping the Phoenix construction market. Commercial projects are competing for the same limited pool of skilled trades. Residential is in flux with mortgage rates. Everyone's being asked to do more with less.
The contractors I see succeeding aren't necessarily the ones with the biggest technology budgets. They're the ones who have gotten clear on what problems they're actually solving and then found the right tools to address those specific challenges.
Technology is also becoming a competitive differentiator in ways it never was before. Miller mentioned that GCs are now being evaluated on their tech stack when competing for jobs. "How good are you at AI? How good are you at digital transformation? What are you doing to make the job site safer, smarter, more productive?" That's a question owners are actually asking now.
And it's not just about winning work, it's about winning people. The next generation of construction professionals expects modern tools. If you can't offer them, they'll go to the competitor who can.
Look, nobody has this figured out completely. Even the CIOs of billion-dollar construction companies are making it up as they go, they're just doing it thoughtfully. The challenges of 2026 are real: labor shortages, data chaos, AI uncertainty, pressure to grow faster than ever. But so are the opportunities. Firms that embrace this moment, that focus on real problems, invest in their people, and build solid data foundations are going to emerge stronger.
The ones who keep doing things the way they did five years ago? Those processes aren't going to get us through today. And they're certainly not going to get us through 2030.
The future belongs to builders who can adapt. The only question is whether you'll be one of them.
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For over 20 years, Computer Dimensions has been the trusted IT partner for Arizona's architecture, engineering, and construction industry. We help AEC firms communicate better, collaborate smarter, and actually use the technology they've invested in. Because in construction, the tools only work if your team does.
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