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Why I Don’t Think Generative AI Should Be in Any Creative App or Software

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Why I Don't Think Generative AI Should Be in Any Creative App or Software

Every time we let AI “create” something, we give up a part of what makes our work uniquely ours. Are we willing to hand over our creativity to algorithms trained to mimic us? In my opinion, generative AI is not suitable for creative software, and here’s why.

It hinders authentic human creativity

When we rely on AI to create art, music, or even written content, we stifle real human expression. Creativity is more than just combining shapes, colors, or words well; it’s about transforming a feeling, attitude, or experience into something new. When AI does the heavy work, we lose that deeply personal aspect of creation. It’s like letting a machine paint a picture for us — maybe quickly, but completely devoid of our unique touch.

Also, when we rely on AI for creative ideas, we forget to use our own ideas. The best ideas often come from trial and error, until something clicks. But when AI hands us pre-made concepts, we lose that struggle — the very thing that drives authentic, original creativity.

Just look at traditional sketching versus AI art generation. An artist can spend hours experimenting with different line weights and shading techniques, learning from each stroke, while AI users can generate dozens of variations without developing any real drawing skills.

AI makes everything boringly similar

One of the biggest problems with generative AI is that it produces results that, while technically impressive, are devoid of variety and nuance. AI models are trained on huge datasets of existing work, so they typically mimic existing patterns and styles. The result? A sea of ​​content that all feels like variations on a theme — polished but repetitive.

Compare the results of AI art generators, for example, and you’ll see the telltale signs: the same dreamy lighting, the same facial features in portraits, and that distinctive soft-focus background.

When we bring AI into creative apps, we’re inviting sameness into spaces originally built for originality. Art, design, and writing thrive on individual talent and the unexpected twists that only the human brain can bring. But with AI generating more and more of what we watch and consume, there’s a real risk that our creative world could fall flat, becoming a repetitive echo of what’s gone before.

It devalues ​​human creative skills

With AI tools readily available to handle creative tasks, there’s a risk that human skills will be taken for granted or even dismissed. The ability to design, write, or illustrate previously required years of practice, feedback, and refinement. Now, anyone can create something that looks like professional work in a matter of seconds with the right AI tools.

This devaluation of skills can have real consequences. Take, for example, the recent debate over AI-assisted tools in the design industry. Graphic designers have expressed concern that AI tools like Canva’s AI-generated designs and Adobe’s generative fill feature are leading clients to underestimate the value of skilled designers.

After all, if a computer can create a logo or edit an image with a few clicks, why spend money on expertise? This mindset undermines the effort and mastery that professionals bring to their work and can make it challenging for skilled artists to gain recognition for their work.

It deprives us of real skill development

Creative skills don’t come overnight; they take years of practice, experimentation, and feedback to develop. But when AI is available to do the “hard parts,” it’s tempting to skip the learning process and let algorithms handle it. The problem? We miss out on truly developing our skills.

Creating art, music, writing or design isn’t just about creating a finished piece – it’s about learning techniques, adopting styles and finding your voice through trial and error. Relying on AI as a shortcut not only undermines this process but also risks creating a generation of creators who haven’t had the chance to truly explore their potential. We lose the ability to experiment, learn from our mistakes and move forward.

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