CEO Column | From Using AI to Mastering AI: Where Is the Key Difference That Holds Most People Back?

Many people now say they can use AI: they can open ChatGPT, throw in prompts and ask AI to help write copy, make presentations and organize data. But is that really “using AI”?

Strictly speaking, most people only treat AI as a somewhat smarter search engine or a somewhat faster text assistant. They ask one line and AI answers one line; they accept whatever AI gives. Whether the result is good is a matter of luck, and there is no standard for whether an answer is usable. This is not mastering AI; this is being led around by AI.

People who truly can use AI do not just throw out a question; they can define the task clearly. They first think: whose problem am I solving? What result do I want to produce? In which scenario will I use it? What role should AI play? By what standard will I check its answer? If the answer is wrong, how will I correct it? That is the difference.


Ordinary people are “asking questions”; masters are “assigning tasks.”

Ordinary people expect AI to give answers; masters design AI’s workflow.

Ordinary people see an AI reply and consider the job done; masters check the logic, verify the data and fix the structure until the result can truly be delivered.

So the real ability of the AI era is not whether you can write prompts, but whether you can turn a vague idea into a clear task, turn a business need into steps AI can execute, and turn an AI output into a result you can use, propose, close with and deliver.

This is the difference between “using AI” and “mastering AI.”

The future workplace will not lack people who can ask AI; what is truly scarce is: people who can direct AI to produce results.