
Show Notes
Episode summary: Construction leaders in the A.I. peer groups are stacking real, measurable wins from A.I., and those wins are compounding. This episode unpacks how early adopters are pulling ahead not through breakthroughs, but through boring consistency. What you'll learn:- Why one civil contractor says A.I. has produced home runs, not grand slams, and how those incremental wins are now building toward predictive analytics.- How automating a simple weekly report at a general contractor exposed bad data, forced process fixes, and made the next automation faster.- What separates the firms pulling ahead from the ones still waiting for a single transformative A.I. moment.- Why document-heavy workflows remain the most repeatable proving ground for A.I. value in construction. Who this is for:- Construction executives, innovation/digital leaders, operations, and IT/security teams navigating A.I. adoption decisions. Full report & free sample: https://www.placersolutions.io/product/agi-in-construction Learn about the peer groups: https://www.placersolutions.io/peer-groups
More from A.I. Excellence in Construction: Research Briefings
Episode summary: Nearly 6,000 executives report almost no productivity gain from A.I. while seven in ten of their firms use it. Four new studies trace the missing hours to checking A.I. output. This episode reads that research through the 2026 A.I. Excellence in Construction report to show where the checking lands inside a contractor.
Episode summary: Three new 2026 studies test whether A.I. makes people lazy learners. This episode walks through what they found and applies it to how construction firms onboard new project engineers, using examples from the 2026 A.I. Excellence in Construction report.
Episode summary: AT&T now routes 45 billion A.I. tokens a day to the cheapest model that meets its quality bar and reports cutting costs by as much as 90 percent, with open models taking a growing share. This episode asks what that shift means for a contractor whose A.I. arrives inside Procore, Copilot, or a startup's product.
Episode summary: Three contractors at the A.I. Excellence in Construction Virtual Summit, held in collaboration with AGC of America, explained how they decide which A.I. platforms to commit to, wait on, bypass, or replace with something built in-house. Their answers differ. Their conclusion about which layer a contractor must own does not.
Episode summary: Vendors, CEOs, IT directors and project managers each want something different from A.I., and construction firms are getting pulled four ways at once. Builders in the Placer Solutions A.I. peer groups describe what happened when a consultant's central hub pitch met 30-plus disconnected systems, and what actually moved things forward.