AI Just Promoted Us All

When I first became a manager, I stopped building training.

As an instructional designer, I was in the tools. Boots on the ground. Articulate, Captivate, whatever we were using at the time. I knew every button, built every interaction, and had my hands on all of it. I was good at it, and I liked it. The craft was mine.

Then I moved into leadership, and the job quietly changed underneath me. Suddenly my work was not to build courses. It was to shape the learning strategy that would affect the people who impact the business.

I was still part of the performance. Just conducting, not playing

Think of it like an orchestra. I was still part of the performance. I had just put down the instrument and picked up the baton. It was disorienting at first. I kept wanting to climb back into everything and fix it myself, because fixing it myself was the thing I knew how to do. But that was not the job anymore, and clinging to it would have made me a worse leader, not a better one.

Learning to lead meant learning to work through other people. To set a direction. To give feedback that actually helped. To know good work when I saw it, and to know when something was off even though I was not the one holding the violin.

The AI revolution is writing the same story

When I look at how I work now, I am doing far more conducting than playing. I am not in the tools directly. I am working through AI, asking better questions, shaping better prompts, and guiding the work rather than doing all of it myself. That shift feels deeply familiar. I have been here before.

Here is what I keep coming back to. The people who struggle with AI will not be the ones who cannot use the tools. The tools are getting easier by the week. They will be the ones who never learned to lead the work. To set a direction. To give effective feedback. To find creative solutions to messy problems. To think big-picture, ask sharper questions, and recognize good output when it lands in front of them.

Those are leadership skills. They always have been. AI did not invent them. It just moved them from "nice to have" to "the entire job" for a lot more people.

This is a learning problem, and it is bigger than a tools class

Here is the part that matters for anyone responsible for developing people. You cannot upskill your way out of this with another tools class. Knowing the buttons was never the bottleneck. Judgment is. Direction is. Knowing what good looks like is.

Those capabilities do not form in a one-hour webinar. They form through practice, feedback, and reflection, repeated over time, in the actual work. That is precisely the gap most learning programs leave wide open. We teach the prompt and skip the judgment. We hand over the tool and say good luck with the thinking.

This is the problem Praxis was built to solve. Not the content drop, but the follow-through. The structured practice, the reflection, and the outside perspective that turn an idea into a real capability. As AI takes over more of the doing, the human skills around it are the whole game, and those are exactly the skills that only stick when you build the conditions for them to grow.

The conductor does not play the violin. But they know when it is off.

AI just promoted all of us. The work now is to grow into the job.