Storytelling in Learning Design. Where AI Helps. And Where It Doesn’t.

We’ve known for a long time that stories make learning stick. They create emotion, add context, and turn abstract ideas into something people can actually use. That part isn’t new.

What is new is how fast AI can spin up outlines, scenarios, and drafts. In seconds. That’s useful. It’s also where a lot of us feel the tension. How do you use AI without flattening your voice and your judgment?

Here’s what I’m seeing in my own work. AI is great at the heavy lifting. First drafts. Structure. Variations when you’re stuck. ATD’s recent research shows most instructional designers are already using it for brainstorming and content creation. That tracks.

But AI does not bring empathy. It does not understand your learners, your culture, or your stakeholders. It does not have lived experience. That’s the difference between a scenario that sounds fine and one that actually lands.

The line for me is simple. Use AI to go faster on the basics. Then do the real work yourself. Layer in context. Apply judgment. Edit hard. Own the decisions. If you don’t, you’re not designing. You’re just curating output.

AI is a tool. Not a thinking substitute.

I’m curious how you’re handling this in your own work.

What’s genuinely helping? And where does it start to feel like a compromise?