At a time when AI chats are becoming an increasingly integral part of both everyday life and working life, a new form of digital competence has emerged: the art of asking good questions. It is not the one who knows most about AI who gets the best results, but the one who knows how to evoke the potential of the AI system.
That is why creative people have a clear takeover.
Prompt engineering and the power of correct question
Prompt Engineering is about formulating questions and tasks to AI in a way that maximizes the quality of the answer. A simple example shows the difference: the question “What is sustainability?” provides a basic answer with definitions. But the question “How can a small -scale restaurant in a Swedish small town work with sustainability in its business model, based on social, economic and environmental impact?” leads to a rich, nuanced and practically useful answer. The latter question is formulated with precision, complexity and context and is typical of someone who has trained their creative ability.
Agentic AI and the creative dialogue
With the next generation AI, so -called agentic AI, the ability to create context and asks questions becomes even more important. Although AI can solve complex tasks itself, it is still based on the user’s input. AI’s ability to create value is closely related to how well the user can specify the background, direction and purpose. Here, the strength of the creative person shows up. Anyone who is used to facilitate workshops or leading idea processes knows how a well -aimed issue opens up to new perspectives. Creativity is not just about coming up with answers, but about understanding what kind of questions lead to insights.
The quality and effect of the creative question
An experienced idea generator knows that good questions are both open, inspiring and clear. They are formulated at a level that reflects the type of solution you are looking for. A creative person is used to thinking systemically and can therefore intuitively formulate issues that include several aspects and perspectives. For example, a person who just wants a prescription may question: “How do I cook lasagna?” While a systemic thinking person may ask: “How can I cook a climate smart, nutritious lasagna with local ingredients that suit a gluten intolerant guest and reduce food waste?” The second question is not only more useful, but opens for innovation, value -creating and broader learning.
Exploring questions beyond the acquaintance
One of the great strengths of creativity is curiosity. Creative people dare to ask questions in areas in which they do not have expertise in. This is a crucial skill when AI is used for learning and innovation. A question such as “what does cheese manufacturing have to do with the manufacture of concrete?” May sound absurd, but precisely in that space between the familiar and the unknown is often new ideas. Perhaps it is about temperature control, process optimization or binder, relationships that would otherwise never have been discovered. Creativity lies in daring to see connections where others see boundaries.
So you get more creative with the help of AI
To get more creative with AI, you need to train yourself to ask better questions. Start by not content yourself with the first answer, but ask further. Try to combine unexpected subjects, changing perspectives or formulating the question as if you belonged to another professional group or culture. Use AI as a thought partner, not as a response machine. The more you challenge it, the more it will challenge you back.
Basically, it is about not just using AI but to cooperate with it. And in the collaborative process, creativity is not an option, but a basic ability. Anyone who has trained their creativity already has a lead in the AI era. The question is: How far can it take you?
