Show Notes
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.
What you'll learn: - Why the macro productivity data still shows almost no A.I. signal, and what Apollo's chief economist means when he calls the payoff a forecast rather than an observation. - How much of the saved time goes back into verification, from roughly 37% in Workday's 3,200-person study to nearly half of scientists losing more than a quarter of their gains. - Where the checking lands in construction, with in-house counsel, senior estimators, and project engineers carrying the review step the tool cannot finish. - Why the same tool is cheap to verify on a fire-rating question and expensive on a code synthesis, using the report's engineering-documentation benchmark. - What the report's guidance on human provenance, golden sets, and spot checks means for any firm still quoting hours saved as a gross number.
Who this is for: - Construction executives, innovation/digital leaders, operations, and IT/security teams who want a pragmatic way to prioritize A.I. pilots.
Full report & free sample: https://www.placersolutions.io/product/agi-in-construction
More from A.I. Excellence in Construction: Research Briefings
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