Introduction
“I studied prompt engineering, but AI is evolving so fast that it’s become useless…”
Such voices are increasing. As of September 2026, the latest AI models like ChatGPT and Claude possess extremely advanced contextual understanding and reasoning capabilities, meaning they can provide high-quality answers when given instructions in plain language, without the need for the “magical spells (prompts)” we once had to craft.
What will set people apart in the coming era is not the technique of giving instructions to AI, but the “ability to supervise an AI team (AI direction skills).”
In this article, I will explain three common traits practiced by people who are “achieving overwhelming results using AI” in the field as of September 2026.
New Common Sense in 2026: Shifting from “Worker” to “Director”
Until now, AI utilization has centered on the “worker” perspective of “how to operate the tool called AI.”
However, now that AI has evolved into “autonomous AI agents” that can execute tasks independently once given a goal, the role required of humans has changed significantly.
* Conventional skills (2024â2025): Memorizing detailed prompt syntax, trial and error with the phrasing of instructions
* Future skills (2026â): Defining problems, breaking down tasks, evaluating the quality of deliverables (fact-checking)
People who can treat AI not as an “object to be operated” but as a “capable subordinate or external partner” and direct it correctly are being valued in the field.
3 Characteristics of “AI Directors” Who Achieve Results
People who are maximizing results using AI routinely take the following approach.
1. Present the “Goal” and “Constraints” together at the beginning
The biggest reason AI goes off track is that either the goal (objective) or the constraints (what not to do) are missing. Clearly define prerequisites such as “who the text is for,” “what the character count is,” and “what expressions are prohibited” at the start.
2. Have tasks shared by a “team” rather than one-on-one
Build a system where you divide roles among multiple AI agents, such as “Research AI,” “Writing AI,” and “Proofreading AI,” and have them pass the baton of their respective deliverables.
3. Confirm the basis (thought process) for “why that answer was reached”
Instead of just looking at the conclusion the AI provides, ask back “where the data serving as the basis was obtained,” and ensure that the final decision and responsibility are always taken by the human side.
Practical Examples of AI Direction You Can Use Today!
When requesting work from AI, the key is to specify the “background” and “expected role” as follows.
I want you to act as an “IT industry editor.”
[Objective]
I want to create a blog post about the latest trends in AI for non-engineer business professionals.
[Your Role]
1. First, please create 3 patterns of article outlines.
2. Once I choose one outline, please proceed to write the main text.
* Do not write the full text at once; proceed in stages and include confirmation steps.
By incorporating step-by-step decision-making like this, you can produce high-quality deliverables that do not deviate from human intent.
Summary
In AI utilization as of September 2026, what is required of humans is not technical prompt skills, but “direction skills similar to managing people.”
* Spend more time on “defining objectives and constraints” than on “crafting prompts”
* Break down tasks and assign roles to multiple AIs
* Humans take responsibility for final fact-checking and decision-making
Let’s shift our thinking to “leave the work to AI, and humans focus on decision-making and strategy” to acquire powerful direction skills for the AI era.
(*The information in this article is based on usage trends as of September 2026.)
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