What the Top AI Users Are Doing Differently?

Top AI users are different because they stop treating AI like a smarter search box. They treat it more like a temporary analyst, editor, coder, planner, and critic that can be pointed at a specific job.

The practical split is not “uses AI” versus “does not use AI.” The split is casual prompting versus workflow design. Casual users ask for a summary, a caption, or a rewrite. Strong users give context, ask for options, test the answer against constraints, and then use the output inside a repeatable process.

The AI Daily Brief framed the gap as a fast-widening capability difference: average users are still doing one-off writing and research, while the most advanced users are moving toward agents, execution, workflow automation, and systems-level work. KPMG’s related research argues that high-impact users treat AI as a reasoning partner and that those skills can be taught.

A simple way to copy the behavior is to change the prompt from “make this for me” to “help me make a better decision.” For example:

• Ask AI to list the assumptions behind a plan.
• Ask it to compare three options against your real constraints.
• Ask it to find the weak spots before you send or publish.
• Ask it to turn a recurring task into a checklist, template, or automation.

That last point matters most. The strongest AI users are not just getting better individual answers. They are using AI to improve the way the next answer gets made.

If you are trying to get better quickly, start with one repeated task you already do every week. Give AI the inputs, the goal, the mistakes to avoid, and the standard for a good result. Then keep the useful parts as a saved workflow. That is the behavior gap in miniature: beginners prompt from scratch; advanced users build a system.