CEO Column | From “Person Who Asks Questions” to “Person Who Assigns Tasks” — What’s Missing Isn’t Talent but Training

Most people get stuck with AI not because they aren’t smart enough, but because they have never learned one thing: what it means to “define a task.” You know how to ask questions, but that doesn’t mean you know how to assign tasks. Asking a question is: “Write me an article,” “Make me a plan.” Assigning a task is: who will read this article, what problem should it solve, what action should it lead to, what tone should it use, and what is the standard of success? The gap between the two directly determines the quality of AI’s output.

The problem is that most people think this is “talent,” but it is not; it is an ability that can be broken down and trained. You need someone to tell you how to split a task, how to build the logic, how to run the process and how to fix errors; otherwise you stay stuck in one loop: ask → get an ordinary answer → ask again → still an ordinary answer.

This is also why many people have used AI for a long time without any real improvement in their ability: they have never “upgraded their operating layer.” The core of “Vibe Coding” is not teaching you tools but making you repeatedly practice one thing:
turning vague needs into executable tasks.

You will find that once you can assign tasks, the quality of AI suddenly jumps a level. It isn’t that AI got stronger; it’s that you have become a “person who can use AI.” If you find yourself constantly “re-asking AI” instead of “getting AI to finish a job,” what you lack is not more prompts but a set of “task-design skills.”