AI Adoption & Training

Are You Keeping Up with Your Peers? Here’s How AEC Firms Are Using AI

Arvaya Feb 25, 2026 4 min read

Female engineer in a hard hat using a digital tablet at an outdoor construction site

A global survey of 1,000 AEC professionals from Bluebeam found that only 27% of firms are currently using AI in their operations.

“AI is not going to do everything for everybody. The firms seeing value are the ones that clearly understand their core problems and apply AI intentionally to solve them.”
— Jeff Sample, Senior Industry Development Manager, Bluebeam

The gap is not about interest. It is about readiness.

Here’s what the data shows

84%

of firms plan to increase overall technology investment in 2026

67%

of AEC leaders say digital tools are already improving productivity

11%

of firms are fully digital; most still rely on paper, spreadsheets, and legacy systems

The appetite for change is there. The execution often is not.

The results for early adopters

Firms that have moved early are already seeing measurable returns:

68%

report saving at least $50,000

46%

have saved between 500 and 1,000 hours using AI-driven tools

Faster

reporting, clearer cost visibility, and less time reconciling data across systems

These are not experimental gains. They are operational ones.

So what is holding everyone else back?

The biggest barriers to AEC technology adoption in 2026 are not cost. They are a lack of how and why.

Most firms introduce new tools without clearly explaining how they fit into day-to-day work or why they matter to project teams. AI is often layered onto fragmented systems with little guidance, leaving staff unsure when to use it, how to trust it, or how it improves their role. Data remains scattered across project management platforms, accounting systems, shared drives, and personal spreadsheets, reinforcing confusion instead of confidence.

Under constant delivery pressure, teams default to familiar workflows. There is little patience for tools that require learning upfront without immediate payoff. Without structured training, clear ownership, and practical use cases tied to real project work, adoption stalls before value appears.

AI does not fail in AEC because the technology is weak. It fails because people are not equipped to use it.

What to do

Yes, more firms are experimenting with AI. That part is inevitable. But experimentation alone is not transformation.

The firms actually seeing results are not the ones chasing tools. They are the ones investing in readiness: aligning systems, defining real use cases, and training their teams to work differently. AI does not replace judgment, project leadership, or experience in AEC. It amplifies them only when people understand how and when to use it.

That is where most firms get stuck. They buy technology without changing workflows, roll out tools without training, and expect adoption without clarity. The gap between interest and impact is not solved by more software. It is solved by guidance, structure, and education.

Consulting fills that gap. Not by selling AI, but by translating it into day-to-day operations. By helping teams understand why a tool exists, how it fits into real project work, and how to build trust in the outputs. The future of AI in AEC will not be led by firms that adopt the most tools. It will be led by firms that invest in their people and give them the skills to use AI intentionally, confidently, and at scale.

Build the foundation before automation

If your firm is thinking about AI but struggling with where to start, start with systems, data, and workflows that actually connect. Talk to Arvaya.