A jobsite tracking tool saved one contractor $342,000 on a single airport project

Construction Dive collected working examples of construction AI on 12 August 2026, with figures rather than pilots. Hensel Phelps used the project-tracking tool Track3D on San Francisco International Airport's Courtyard 3 Connector and reported $342,000 in savings. Burns & McDonnell folded AI into estimating workflows, where Brett Poulos made the point that jobsite staff "know when to push back on AI-generated suggestions". Suffolk assigned dedicated AI engineers for testing, its Doug Harrison arguing that consistent implementation is what makes the resulting data meaningful. Separately, Texas A&M research on VR- and AI-based safety training for roadwork struck-by incidents drew a blunt verdict from professor Namgyun Kim: it "should not be viewed as an experimental technology anymore".

What it means A named dollar figure on a named project is rare in construction AI and worth more than a vendor deck — and the recurring caveat from the people using it is that the value shows up when staff are equipped to overrule the tool, not defer to it.