Every construction executive has heard the AI pitch by now. Fewer have seen it translate into fewer change orders, tighter estimates, or a healthier bottom line. That gap between AI hype and AI results is exactly where we spend most of our time with construction clients.

The data backs up what we’re seeing in the field. Recent industry research points to a clear shift: AI in construction is projected to grow from roughly $2.1 billion in 2022 to over $10 billion by 2028. But growth in spending doesn’t automatically mean growth in value. One widely cited 2026 industry report found that while adoption is accelerating, a majority of firms are still stuck in the pilot phase rather than seeing consistent, day-to-day operational impact.

The firms pulling ahead aren’t necessarily the ones with the flashiest tools. They’re the ones treating AI as a financial discipline — not a technology experiment.

 

Where AI Is Actually Moving the Needle

Strip away the buzzwords, and the real gains in construction right now cluster around a handful of areas:

Estimating and bid accuracy: AI-assisted cost estimation is helping contractors tighten budgets and catch errors before they become change orders, with some firms reporting meaningful reductions in cost overruns as a result.

Project scheduling and resourcing: AI-powered scheduling tools are helping firms model labor and material timelines more precisely, which is a big deal in an industry that continues to face a persistent skilled labor shortage.

Cash flow and job costing visibility: This is where we spend most of our time with clients. AI-enabled reporting can flag job-cost overruns, retainage issues, and WIP discrepancies in near real time, instead of surfacing them at month-end when it’s too late to course-correct.

Bid-win analysis: Firms are starting to use AI to analyze historical bid data (what won, what lost, and why) to sharpen future pricing strategy rather than relying on gut instinct alone.

The common thread: The firms getting real value aren’t just buying software. They’re rebuilding their data and reporting foundation first, so AI has something reliable to work with.

 

The Part Most Firms Skip

Here’s what we tell every construction client who asks us about AI: the tool is the easy part. The hard part, and the part that actually determines your ROI, is whether your financial data is clean, consistent, and centralized enough to support it.

If your job costing lives in three systems that don’t talk to each other, an AI forecasting tool will just help you be wrong faster. Before you invest in AI-powered estimating, scheduling, or reporting tools, it’s worth asking:

  • Is our WIP reporting accurate and up to date?
  • Are job costs coded consistently across projects and PMs?
  • Do our accounting and project management systems actually integrate, or are we still reconciling by hand?
  • Do we have a clear enough view of margin by project type to know where AI would actually move the needle?

For most mid-sized contractors, the honest answer is that there’s foundational work to do before AI delivers on its promise. That’s not a reason to wait — it’s a reason to sequence the investment correctly.

 

Where DHA Fits In

This is exactly the intersection we work in: construction accounting expertise paired with practical AI consulting. We help contractors:

  • Assess whether their current systems and data are ready for AI-powered tools
  • Clean up and centralize job costing, WIP, and financial reporting
  • Identify where AI can realistically improve margin, cash flow, or bid accuracy, and where it can’t (yet)
  • Set up, configure, and train your team on the software that supports it, so the tools actually get used correctly, not just purchased

We’re not selling a specific AI platform. We’re helping construction companies figure out what’s real, what’s noise, and what sequence of steps — including getting your team comfortable with the right software — gets them from where they are to where the data suggests they should be.

 

Curious Where You Stand?

If you’re evaluating AI tools for estimating, scheduling, or financial reporting, or you just want an honest read on whether your systems are ready for that investment, we’d welcome the conversation.