The training lasted three days. By most measures, it went well. A room full of intelligent professionals worked through the demos, asked good questions, and left with a clearer picture of what AI tools could do. But when participants sat down in the weeks that followed to use the tools on actual work tasks, the outputs were vague. The suggestions were generic. The drafts needed so much revision that it often seemed faster to just write the thing from scratch.

This pattern has a recognizable shape. It’s the same one writing instructors see when students who already passed English move into upper-division coursework and their communication gaps resurface the moment the scaffolding drops. AI training follows the same curve. The tools get learned, but the confidence doesn’t follow. And the gap between the two usually isn’t a technology problem—it’s the same communication gap that was already there. It’s a writing problem.