Written by Dev » Updated on: April 28th, 2025
Is machine-generated creativity actually creative—or just convincing?
With the explosion of Generative AI tools like ChatGPT, DALL·E, Midjourney, and Sora, there’s one question that keeps coming up:
Can AI truly be creative?
This question lies at the heart of the AI creativity debate—and it's not just a philosophical curiosity. For industries like design, music, fashion, writing, and even product innovation, the answer could shape the future of work.
At Glance, where we explore how GenAI can help people express themselves—from fashion and shopping to TV content and beyond—we’ve been asking the same question. Here’s what we’ve discovered.
To understand whether AI can be creative, we need to define what creativity actually is.
This doesn’t mean the outputs aren’t impressive—but it raises the question: is it genuine creativity, or a very advanced form of mimicry?
Generative AI works by learning from vast amounts of data—text, images, music—and then producing new outputs based on that training. For example:
In many cases, the results are so good that people can’t tell if a human or machine made them. But is that enough?
AI doesn't dream. It can remix ideas but doesn’t have a lived experience or emotional core that sparks unique insights the way human creators do.
Since AI is trained on human-made data, it reflects existing ideas and biases. It’s great at variations, but struggles with genuine originality.
Creativity often comes from a need to express—joy, pain, protest, love. AI has no emotions, purpose, or cultural context behind what it generates.
Who owns AI-created work? What if it unintentionally copies a real artist’s style too closely? These issues are still being debated—and they matter.
The answer isn’t black and white.
At Glance, we embrace this hybrid model. Our AI Style Advisor uses GenAI to create fashion looks featuring you—powered by personalization, but always leaving room for your own expression.
We believe:
🔗 Explore Glance’s AI vs. Human Creativity Article
Here’s the takeaway:
As AI evolves, it will continue to blur the boundaries—but maybe the real question isn’t can AI be creative?, but how can we creatively use AI?
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