In this episode, we tested AI against some of our most common negotiation questions to find out where it helps, and where it confidently steers you wrong. On paper it looked helpful, but the devil was in the details; the results were a mix of good reminders and dangerously misleading shortcuts. We covered topics like:
Why “market data” (Glassdoor, Levels, Blind) rarely moves real offers, and what to use instead
How to ask for a written offer the right way (and why a signable letter beats a summary email)
Better scripts than “Is this negotiable?” (and why you shouldn’t give numbers or ranges)
Reading “best and final,” when to keep pushing, and when to stop without burning bridges
We also share stories including:
A world-class MBA who nearly blew an offer while being enrolled in a negotiations course
The exec candidate who cited market data and was told, “Even our C-suite doesn’t make that”
How big companies quietly changed their offer tactics and how we adapted
A quirky-but-real priority a client negotiated (and why we re-ordered her asks)
Tune in to see us run a live test on an AI model’s negotiation advice, what it gets right, what it misses, and how to protect your offer when the stakes are high.
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