Playing Hardball: Your A.I. Negotiator Misreads the Room
A.I. Excellence in Construction: Research BriefingsShow Notes
Episode summary: A.I. agents are starting to help negotiate and evaluate on behalf of construction firms. Two new studies show they misread who they are negotiating with and favor A.I.-written submissions. This episode maps the exposure in buyout, change orders, and correspondence, and the ownership rule that contains it.
What you'll learn: - Why A.I. agents negotiate as if every counterpart is a perfect calculator when only about 1 in 8 people actually behave that way. - What the hardball default costs in a subcontractor buyout, where the study's calibrated move earned roughly six times the machine-calibrated one. - How A.I. evaluators picked A.I.-written pitches 89% of the time versus 36% for humans, and what that means for RFP and prequal screening. - Where to draw the line so the A.I. proposes the position but the person who holds the relationship owns what goes out.
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
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