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 piece of what makes our work uniquely ours. Are we willing to surrender our creativity to algorithms trained to imitate? In my opinion, generative artificial intelligence doesn’t belong in creative software, and here’s why.

1 It hinders authentic human creativity

When we rely on artificial intelligence to create art, music, or even written content, we stifle pure human expression. Creativity is more than just nicely combining shapes, colors or words; it’s about translating a feeling, perspective, or experience into something new. With artificial intelligence doing the heavy lifting, we are losing this deeply personal aspect of creation. It’s like letting a machine fill in the coloring pages for us—perhaps quickly, but completely without our unique touch.

Moreover, when we rely on artificial intelligence for creative ideas, we risk forgetting how to use our own. The best ideas often come from trial and error, wrestling with a blank page or canvas until something clicks. But with artificial intelligence handing us ready-made concepts, we’re losing that battle—the very thing that drives authentic, original creativity forward.

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.

2 AI makes everything look boringly similar

One of the biggest problems with generative AI is that it tends to produce results that, while technically impressive, lack variety and nuance. AI models are trained on large datasets of existing work, so they usually just replicate existing patterns and styles. Result? A sea of ​​content that all feels like variations on a theme – slick but repetitive.

For example, compare the results of the AI ​​art generators and you will see telltale signs: identical dreamlike lighting, similar facial features in portraits, and characteristic soft-focus backgrounds.

When we bring AI to creative applications, we’re essentially inviting sameness into spaces meant for originality. Art, design, and writing thrive on individual flair and the unexpected twists that only the human mind can bring. But as artificial intelligence generates more and more of what we see and consume, there’s a real risk that our creative world could flatten out and become a repetitive echo of what’s been done before.

3 It devalues ​​human creative abilities

“”>

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

This devaluation of skills can have real consequences. Take, for example, the recent debate about AI-powered tools in the design industry. Graphic designers have expressed concern that AI tools such as Canva’s AI-generated designs and Adobe’s Generative Fill feature are leading clients to underestimate the value of skilled designers.

After all, when a computer can produce a logo or edit an image in a few clicks, why pay for expertise? This mindset undermines the effort and mastery that professionals bring to their craft, and it can be difficult for experienced artists to get credit for their work.

4 It robs us of real skill development

“”>

Creative skills don’t just appear overnight; their development requires years of practice, experimentation and feedback. But when AI is available to do the “hard parts,” it’s tempting to skip the learning curve and let an algorithm handle it. Problem? We end up really developing our own skills.

Creating art, music, writing, or design isn’t just about producing a finished piece—it’s about learning techniques, adapting styles, and finding our 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 opportunity to truly explore their potential. We lose the ability to experiment, learn from our mistakes and grow.

5 Potential for misuse and plagiarism

“”>

Generative AI can also make unethical practices like plagiarism more attractive. Artificial intelligence models trained on massive datasets of existing works often produce content that closely resembles these originals, leading to concerns of inadvertent or intentional plagiarism.

Artists have raised concerns about AI tools replicating signature styles, making it too easy for users to pass off AI-generated content as their own or even closely mimic the work of well-known artists.

In fact, the backlash from artists has been so intense that platforms like ArtStation and DeviantArt have had to update their policies to give creators the option to opt out of using their work in AI training datasets. The move speaks to the risks of AI-driven plagiarism, where people can essentially copy a creator’s hard-earned style without credit or recognition.

This abuse doesn’t just harm individual creators; it hurts the creative community as a whole. Original works can be devalued if near-identical copies circulate freely.

6 It threatens creative heritage

“”>

Our creative heritage—art, music, literature, and other forms of cultural expression—represents the unique histories, experiences, and values ​​of diverse communities. When we turn to AI to create new works, we risk losing that richness.

AI models are trained on existing data sets that often reflect a narrow, mainstream view of culture and creativity, usually dominated by Western perspectives. Cultures underrepresented in these data sets are at risk of being excluded or distorted by AI-driven creations.

Over time, if generative AI plays an ever-increasing role in creative production, these underrepresented cultures may find their heritage overlooked or homogenized due to the biases inherent in the AI’s training data. The result is a creative world that feels increasingly mechanical, generic and does not reflect true cultural diversity.

While generative AI has undeniable potential for efficiency and convenience, it can do more harm than good in creative applications and software. Creativity is a deeply human endeavor—one that thrives on emotion, experience, and individuality. It is important that we preserve the heart of human creativity and resist the urge to let machines take over.