Creativity is the ability to generate novel and valuable ideas. It involves divergent thinking, imagination, and a willingness to experiment and take risks. While AI can be a powerful tool for creative efforts, it also carries the risk of limiting originality and innovation. AI algorithms are trained on existing datasets, often identifying patterns and trends in past creations. While this can be useful for generating new content in similar styles or formats, it can also lead to derivative works that lack genuine originality. If artists and designers rely too heavily on AI for inspiration and content generation, they may find themselves trapped in a cycle of imitation, unable to break free from the constraints of the AI’s training data. Moreover, the ease with which AI can generate content can discourage the kind of struggle and experimentation that often leads to breakthroughs. The creative process is often messy and repetitive, involving numerous failures and setbacks. It is through these challenges that we refine our skills, develop our unique perspectives, and push the boundaries of what is possible. If AI provides instant solutions, it can enhance (→ bypass) this essential process of learning through trial and error, ultimately inhibiting the development of true creative talent.