Journal

Every time a new Generative AI model is released, almost the same thing happens.

Within a few hours, social media fills with spectacular images. Cinematic portraits, impossible worlds, hyperreal photographs, editorial scenes, perfect textures, calibrated lighting, flawless compositions.

For a few days, it feels like we are witnessing a leap forward.

Then, slowly, those images begin to look alike.

The same light.

The same palette.

The same face.

The same depth of field.

The same cinematic taste.

The same way of imagining the future, luxury, fashion, technology, even imperfection.

Technology evolves at an impressive speed. Aesthetics often much less so.

This raises an interesting question: if today’s Artificial Intelligence tools are able to generate almost any image imaginable, why do so many AI images feel predictable?

I do not think the answer lies in the machine.

I think it lies in us.

Generative AI is an extraordinary amplifier. It amplifies our intentions, our references, our taste, our visual culture. But it also amplifies our limitations.

When millions of people start from the same references, consume the same images, chase the same trends and use very similar words to describe what they want to achieve, it should not surprise us if the results begin to converge.

This is how a new form of visual average emerges.

Generating an image has become simple. Developing a personal visual language has not.

And this is the central point.

Originality comes from interpretation, and true experimentation is measured by the quality of the questions.

What am I really looking for?

What visual tension do I want to build?

Which imaginary am I avoiding?

Which reference am I using automatically?

What happens if I bring into the process something that does not belong to the world of generated images?

In the contemporary Creative Workflow, AI is not just a production tool. It is a mirror. It shows with great precision what we know how to ask for, but also what we are not yet able to imagine.

Every new model eventually becomes accessible to everyone.

Every AI Workflow can be copied, adapted, turned into a tutorial, transformed into a preset.

Taste cannot.

Curiosity cannot.

Vision cannot.

These elements take time. They require observation, study, mistakes, contamination, memory. They require a constant relationship with Visual Culture, not only with software.

The point should not be to become experts in a tool. The point should be to build a way of seeing that can remain coherent even when the tool changes.

This applies to art direction, Design, Advertising, visual communication and every form of Creative Technology. If the language depends only on the tool, then that language is not really ours. It is a temporary consequence of the interface we are using.

Perhaps the greatest misunderstanding around Artificial Intelligence applied to creativity is the idea that it replaces creativity.

I believe it exposes it.

When everyone has access to extraordinary technical capabilities, the difference no longer lies only in what the machine can generate. It lies in what the human mind is capable of imagining before generation even begins.

It lies in the ability to build an intention.

To recognize a cliché before producing it.

To move beyond the average.

To use AI Strategy not as an aesthetic shortcut, but as a system to expand research, thinking and creative direction.

In the end, AI does not make images generic.

It simply makes generic thinking more visible.

What once required days can now be accomplished in minutes. Images, videos, music, copy, 3D assets, code. The barriers to execution have collapsed, giving millions of people access to tools that were unimaginable just a few years ago.

This is an extraordinary achievement.

But it has also created a new paradox.

If everyone has access to increasingly powerful creative tools, why do so many outputs feel so similar?

The answer, in my opinion, is simple.

AI has democratized execution. It has not democratized vision.

The ability to generate an image is no longer rare. The ability to imagine one that deserves to exist still is.

Today, the real competitive advantage is no longer technical proficiency. It is the capacity to connect distant worlds, to recognize unexpected relationships, to contaminate disciplines and cultures until something genuinely new begins to emerge.

This is where the role of the creative professional becomes even more important.

Not because AI needs to be controlled, but because it needs to be directed.

Every generative model is trained on an immense archive of existing human production. By its very nature, it tends toward statistical probability. It predicts what is most plausible, most coherent, most expected.

Creativity, however, rarely follows probability.

It often lives in contradiction.

It grows from influences that apparently have nothing in common: industrial design and classical sculpture, brutalist architecture and motorcycle engineering, fashion photography and neuroscience, typography and progressive music, cinema and product design.

The most interesting ideas are rarely born inside a single discipline.

They emerge where different cultures collide.

For this reason, I believe that one of the greatest mistakes creatives can make today is chasing every new AI tool simply because it exists.

Experimentation has value only when it serves a purpose.

Collecting prompts, testing every model or generating thousands of images is not, by itself, creative research.

Research begins when experimentation becomes methodology.

When every new technology is absorbed into a personal workflow rather than becoming the workflow itself.

The objective should never be producing more.

The objective should be producing something recognizably yours.

An aesthetic.

A language.

A process.

A way of thinking that remains identifiable regardless of the software being used.

Technology changes continuously.

Vision evolves much more slowly.

That is why I believe the future belongs neither to those who reject AI nor to those who blindly embrace it.

It belongs to creatives capable of building original systems of thought.

Professionals who cultivate curiosity beyond their own field.

Who study photography, cinema, industrial design, architecture, music, psychology, engineering and visual culture with the same intellectual appetite.

Because ideas are rarely invented.

More often, they are discovered at the intersection of seemingly unrelated worlds.

AI has made creation accessible to everyone.

Differentiation, however, remains a profoundly human responsibility.

And perhaps that has always been the true work of a creative.

The author

Federico Zimbaldi, Creative Supervisor, Generative AI Manager and multidisciplinary designer working across advertising, visual culture, AI-assisted design, digital experiences and concept development.

Through this Journal i explore the evolving relationship between creativity, technology and human vision.