AI can generate hundreds of ideas in a short time. The number of options alone does not amount to creativity. Creativity means recognizing a meaningful need, making distant connections, choosing a strong direction, and turning an idea into a solution that creates value in the real world. Curiosity, intuition, and aesthetic judgment remain human contributions to this process.
Knowing creative thinking methods helps us make better use of AI. SCAMPER offers systematic questions for changing an existing idea, while synectics connects distant concepts. Metaphorical thinking lets us see a problem in a new language, and biomimicry draws inspiration from strategies in nature. Without these methods, AI often produces more variations of the same patterns.
I believe people need to establish the creative intent and the criteria for selection. AI can generate analogies, alternatives, opposing ideas, and unexpected combinations. People then evaluate these ideas for originality, appropriateness, feasibility, and meaning. This requires a willingness to move toward a better idea rather than cling to the first one.
Organizations, too, should look beyond the number of ideas when assessing creativity. They should track how the problem has been reframed, new areas of value, meaning for the customer, and the quality of learning together. AI can expand creative capacity. Creative courage and responsibility for selection remain with people.
Ask yourself
- Are we generating more ideas, or seeing a different future?
- Which creative thinking method are we consciously using?
- Are our selection criteria truly connected to the customer and the context?
People can begin by defining creative intent and criteria for value together, then establish different routes for thinking through methods such as SCAMPER, synectics, metaphorical thinking, and biomimicry. AI can generate options and connections along these routes, while the human team retains responsibility for selection, synthesis, and making sense of the ideas.
