Industry Intelligence | NEURAL EDGE AI
Industry Intelligence

What the research says
about AI in construction.

Curated data, reports, and analysis on AI adoption in the AEC sector. Everything here is selected because it is relevant to how construction firms actually operate, not because it makes AI look good.

Featured Research
The State of AI Adoption in Construction: Why 90% of Implementations Stall Before They Scale
Neural Edge AI Research Updated April 2026 · 8 min read
Construction firms are buying AI tools at a faster rate than any previous technology cycle. The failure rate is just as fast. This article examines the pattern behind stalled implementations and what separates the firms that make it work.
Read the full article →
90%
of AI tools purchased by construction firms show low adoption after 90 days
$2T
lost annually to construction inefficiency that AI is positioned to address
73%
of GCs cite knowledge loss as their top operational risk heading into 2026
Recent Intelligence

Research worth
your attention.

AI Adoption March 2026 · 6 min
Deloitte: Construction Firms That Assess Before They Adopt See 3x Better Outcomes
New Deloitte research on AI implementation patterns across capital-intensive industries shows a consistent gap between firms that conduct operational readiness assessments and those that go straight to tool selection.
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Workforce February 2026 · 5 min
Anthropic Labor Market Study: AEC Sector Shows Widest AI Readiness Gap of Any Industry
Anthropic's March 2026 labor market analysis identified AEC as the sector with the largest gap between AI capability availability and actual workforce adoption, driven by process debt, not technology access.
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Operations January 2026 · 7 min
McKinsey Global Institute: Where Construction Loses the Most to Coordination Failure
The latest MGI analysis on construction productivity isolates RFI management and change order documentation as the two workflow areas with the highest compounding cost of poor information flow.
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From research to action

The data points to the same
gaps every time.

  • Process debt, not technology access, is what holds construction firms back
  • An assessment shows you exactly where that debt lives in your operation
  • You get a written map of the friction before any tool recommendation is made
  • Research is only useful if it connects to something you can act on
A fit call turns the data into a specific picture of your business.
Start here
Turn research into action.
The patterns in the data are consistent. The question is where they show up in your specific operation. A fit call answers that.
→ Assessment before tools. Every time.
→ Your operation mapped before any recommendation.
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