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This episode is a practical recap of the 2026 A.I. Excellence in Construction research, focused on the two areas that tend to make or break adoption at scale: talent and risk.
• What “A.I. readiness” looks like in real construction orgs and the capability gaps that show up first (training, workflow ownership, review habits).
• How leading builders structure enablement: lightweight upskilling, internal champions, and clear human accountability (so productivity gains don’t create new exposure).
• The risk guardrails to put in early around data/IP handling, project record integrity, vendor controls, and governance that supports speed without losing control.
Who this is for:
• Construction executives, innovation/digital leaders, IT/security, and HR/talent teams who need a pragmatic framework for scaling A.I. responsibly.
Full report & free preview/sample:
https://www.placersolutions.io/product/agi-in-construction
By Nate FullerThis episode is a practical recap of the 2026 A.I. Excellence in Construction research, focused on the two areas that tend to make or break adoption at scale: talent and risk.
• What “A.I. readiness” looks like in real construction orgs and the capability gaps that show up first (training, workflow ownership, review habits).
• How leading builders structure enablement: lightweight upskilling, internal champions, and clear human accountability (so productivity gains don’t create new exposure).
• The risk guardrails to put in early around data/IP handling, project record integrity, vendor controls, and governance that supports speed without losing control.
Who this is for:
• Construction executives, innovation/digital leaders, IT/security, and HR/talent teams who need a pragmatic framework for scaling A.I. responsibly.
Full report & free preview/sample:
https://www.placersolutions.io/product/agi-in-construction