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