The results are in: How Canadian construction is (actually) using AI
AI is everywhere in Canadian construction. Widespread adoption isn’t. Access our exclusive survey findings to learn what the data really shows.
The conversation around AI in Canadian construction is loud. We’re here to cut through the noise.
SiteNews, in partnership with Procore, surveyed Canadian construction professionals in spring 2026 to get a ground-level picture of how the industry is actually using AI — which tools, in which workflows, and what’s getting in the way.
The findings show only 10% of respondents report widespread AI adoption across multiple workflows.
The tool being used isn’t built for the job
The vast majority of construction organizations have adopted AI — but the tool most are reaching for wasn’t designed for construction. It can draft an email. It can’t flag an RFI pattern, integrate with a schedule, or touch a submittal log.
Cost isn’t the barrier
Ask most people what’s slowing AI adoption in construction, and they’ll say budget. The survey data says otherwise. Cost ranked last among the barriers respondents identified — cited by only ~5%.
Fragmented data is the structural problem
Underneath most of the other challenges is a data problem. The vast majority of respondents operate with project data scattered across disconnected systems — and that fragmentation has a measurable cost, both in hours lost to manual work every week and in a hard ceiling on what AI can realistically deliver. The capabilities the industry wants most from AI all depend on data infrastructure that most organizations don’t yet have.
The direction is clear
Nearly half of respondents believe AI and machine learning will have the greatest impact on construction management over the next three years — well ahead of any other technology. So, the conviction is there. What’s still catching up is everything underneath it.
For all the details on what’s really happening with AI in Canadian construction — and what comes next — DOWNLOAD THE REPORT.