Vibe Teaming: How HR Turns AI Experiments into Real Adoption

Most HR teams have already run their AI experiments. A pilot here, a policy draft there. Turning that scattered activity into something people actually use on a Tuesday is a completely different problem.

In this episode:

Why the biggest available gains from AI now come from teams working with it together, not individuals getting better at prompting

How to pick a first project by finding the rock in your shoe instead of announcing a sweeping overhaul nobody asked forWhat the three Cs (crisis, commitment, and conflict) tell you about where AI should never touch an employee interaction

Timestamps

[00:01:52] What an AI catalyst actually does inside an HR function, and why the job changed from building fluency to driving adoption

[00:02:49] Why HR teams that feel behind on AI are not, and what the range across SHRM's membership really looks like

[00:03:53] Finding the rock in your shoe, and why the most annoying problem beats the most sophisticated one as a starting point

[00:07:29] Nichol's dictation method for getting a model to write her prompts, including asking for a McKinsey-style or Fast Company-style prompt

[00:08:15] How vibe teaming works, including the AI wrangler role, the facilitator role, and the transcript loop that feeds the group's corrections back in

[00:10:08] The loneliness problem created by heavy individual AI use, and the 70-page proposal exchange that illustrates it

[00:11:22] Over 44% of people use AI daily and nearly as many run into work slop daily, and what a biweekly team session does about it