u/HaneneMaupas

I’m curious how other learning designers are feeling about AI in their day-to-day work.

There is a lot of talk about AI replacing instructional designers, but I don’t really see it that way. To me, it feels more like the role is shifting.

AI is already helping with first drafts, outlines, scripts, quizzes, scenarios, visuals, and even video concepts. The biggest change is that we can move from idea to proof of concept much faster. Instead of spending days just preparing the first version, we can now test a draft, improve it, adapt it, and iterate much more quickly.

I also think vibe-coding is opening a new creative space for learning designers. Being able to describe an interaction, a scenario, or a learning flow and have AI help build it changes the production process. It reduces the technical barrier and gives designers more room to focus on the learning experience itself.

The impact is not only about speed. It can also reduce production costs, make personalization easier, and potentially increase the value of what learning designers can deliver. More variations, more interactivity, more tailored content, faster.

But it also means the job becomes less about simply producing content and more about judgment, structure, pedagogy, context, and quality control.

So I don’t think AI makes learning designers less important. I think it raises the expectations.

Curious to hear from others: has AI made your work easier, more creative, more strategic, or just more complicated?

Solo practice means unlimited reps, no coordination, private failure. You control the pace and nobody sees you mess up.

Multiplayer scenarios add unpredictability, real human reactions, team dynamics. More realistic but harder to scale and schedule.

For building specific skills, which environment actually accelerates learning? Or does it depend entirely on what you're trying to teach?