The balance is simpler than it sounds: use AI for the mechanical and generative tasks — producing options, drafting language, retrieving information — and keep your expertise for the judgment calls, the human connection, and the decisions only you can make.
What Expertise Actually Looks Like in a Live Session
When you’re facilitating a live workshop, your expertise shows up in the moments that matter most: knowing when a student is struggling even when they’re not saying so, reading the energy in the room and deciding to slow down, calling on the right person to share a story that will unlock the concept for everyone else. None of that is something AI can do for you — and none of it is what AI is trying to do.
Think of it like a master chef and a prep cook. The chef doesn’t lose credibility by having someone else dice the vegetables. The skill is in the seasoning, the timing, and the final dish. AI is your prep cook for the parts of facilitation that require production, not judgment.
Where AI Earns Its Place
The tasks where AI genuinely helps during a live session are the ones that pull your attention away from the room: searching for an example, rephrasing a confusing explanation, generating a follow-up question when students go quiet. These are low-judgment tasks that eat high-attention time. Delegating them to Claude or ChatGPT — even while teaching — keeps your cognitive bandwidth free for the human work.
What AI should never replace during facilitation is your point of view. When a student asks whether they should take a particular approach in their business, that’s not a question for Claude. That’s a question for you, drawing on everything you know about their situation. Students are paying for your perspective, your experience, and your ability to see them. Don’t outsource that.
What This Means for Educators
As a coach or trainer, the best way to think about AI during facilitation is as a backstage assistant, not a co-presenter. It’s open in a browser tab, not on your screen share. Students should see your face and your expertise — not a conversation with an AI. The moment AI becomes visible as a crutch, it undermines the trust your students have placed in you.
The Simple Rule
If the task requires your judgment, your experience, or your relationship with a specific student — do it yourself. If the task is about generating language, retrieving information, or producing options quickly — let AI help. That line will stay clear as long as you stay clear on what your students are actually paying for.