AI Is Making Visual Production Cheaper. It Shouldn’t Make Brands Look Cheaper.
Fashion brands have been moving into AI-generated visual production at remarkable speed.
What initially appeared mostly in social media content and campaign experiments is now making its way into webshop imagery, lookbooks and everyday e-commerce production.
One of the reasons for this rapid transition is obvious: cost.
Compared with traditional production, AI can reduce many expenses, shorten production timelines and make it possible to create content at a much larger scale.
I don’t see anything wrong with that. In fact, it is one of the most significant opportunities this technology offers the fashion industry.
But I have also been noticing something else:
As production becomes cheaper, the level of care going into the image often seems to decrease with it.
And I think that is where the real problem begins.
Looking at a growing number of AI-generated fashion images, I see similar models, similar faces, similar poses, similar lighting, similar textures and increasingly similar color palettes.
After a while, regardless of which brand you are looking at, you begin to recognize the same visual language.
The human eye adapts quickly.
A certain “AI look” that initially feels new and interesting can become a recognizable formula once it is repeated often enough. People may not always be able to explain technically what feels wrong, but they begin to recognize the feeling and associate the image immediately with AI.
With an almost unlimited ability to create visual worlds at our disposal, the fact that so many results are becoming increasingly similar feels somewhat ironic.
It is not only about producing a beautiful image
A brand’s visual identity is not limited to its logo, typography or corporate colors.
Casting, photography, lighting, color, texture, styling, posing, framing, locations and post-production all become part of a brand’s character over time.
A perception of quality can take years to build in people’s minds.
Damaging that perception may take far less time.
That is why I think approaching AI only through the question of “how can we make the same image faster and cheaper?” misses a much larger opportunity.
With technology this powerful, perhaps the better question is:
How can we use it to push a brand’s existing visual world further?
Because AI offers much more than a cost advantage.
Ideas that would normally be difficult to execute because of budget, time, location or production limitations can now be explored far more easily.
When the creative possibilities become this broad, yet the results begin to look increasingly similar, the issue has less to do with the technology itself and more to do with how we choose to use it.
Realism still matters
Especially in fashion, e-commerce and product imagery, realism remains one of the foundations of quality.
Fabric behavior, product details, skin, hair, hands, lighting, lens characteristics and subtle physical details all need to feel convincing.
Some AI models can now produce a reasonable level of realism by default, and this can make that baseline feel sufficient.
But there is still a significant difference between an image that looks photographic at first glance and an image that genuinely feels like a strong photograph.
I am not suggesting that differentiation should come at the expense of realism.
It is possible to be realistic, distinctive and specific to a brand at the same time.
AI production should not mean removing care from the process
In a photography production, the final image is never just the raw frame captured by the camera.
There is preparation before the shoot, decisions around models and styling, lighting and framing, image selection, retouching, color and post-production.
AI production should not mean that this level of care is suddenly unnecessary.
If a significant part of the traditional production cost disappears, some of that advantage can instead be invested in achieving a better result.
Better references.
More exploration.
Stronger selections.
More refined post-production.
Higher standards of quality control.
AI making production cheaper does not mean the image itself has to look cheap.
The standard workflow is often not enough yet
A relatively common workflow has already emerged in AI fashion production.
A model reference is created. A garment is applied to that model. A location or background is selected. Additional references are introduced. A pose and scene are described. A prompt is written and an image is generated.
All of these can be legitimate parts of the process.
But with the tools available today, I do not think simply following this standard workflow is always enough.
When everyone works with similar tools, similar reference structures and similar workflows, the results naturally begin to converge.
To push an image further today, it can sometimes be necessary to combine the strengths of several different AI systems.
One tool may perform better with the model. Another may handle garments or product detail more effectively. A different one may be stronger at correcting a specific area, improving texture or handling another stage of the image.
The technical side of everything I am describing can change very quickly.
A far more capable model could arrive tomorrow and make many of today’s techniques unnecessary.
What should not change, in my opinion, is the mindset.
Do not simply accept the default result of the tool.
Test its limits.
Look for ways to improve it.
Experiment with new systems.
Combine different technologies.
And keep asking:
How can this be better?
Technology will change. Workflows will change. A method that works today may be irrelevant a few months from now.
The desire to keep pushing the standard should remain.
There needs to be a bridge between AI and real-world visual knowledge
At this point, the work also goes beyond simply understanding AI technology.
Photography, retouching, post-production, color, lighting, lenses, styling, casting, composition and art direction represent decades of accumulated visual knowledge.
AI does not exist outside that world.
For stronger results, there needs to be a bridge between the two.
That is why I believe photographers, retouchers, post-production professionals, art directors and other visual creatives have an important role to play in this transition.
The tool can generate an image.
But recognizing why a pose does not work, noticing incorrect fabric behavior, seeing when skin feels overly synthetic, judging whether the lighting is convincing or selecting the genuinely strong image from hundreds of outputs requires a different kind of skill.
Technology may generate the image, but visual judgment remains critically important.
This is also why brands may increasingly need people who can do more than operate AI tools.
They may need people who can build a visual system around them.
Call the role AI Art Director, AI Lead, Visual Director or something else.
The title matters less than the function.
Someone needs to understand the identity of the brand, follow the technology and build a connection between the two.
Another question is beginning to emerge
As AI tools improve, producing good visual content will become increasingly accessible.
That opens the door to another, much larger discussion:
In a world where everyone can produce good visual content at increasingly low cost, what will differentiate one brand from another?
Every photograph, video, campaign or advertisement we publish is competing for a share of the same limited pool of human attention.
A fashion campaign is not only competing with another fashion campaign.
A few seconds later on the same screen there may be a TikTok video, influencer content, a music video, a news story, another advertisement or something entirely unrelated.
Human attention is limited.
The volume of content is not.
And AI will accelerate that volume dramatically.
I think this question deserves an article of its own.
But one thing already seems clear:
In a world where content becomes easier to produce, simply producing it will no longer be enough.
How do we preserve quality at scale?
There is another reality on the webshop and lookbook side of fashion.
Sometimes hundreds or even thousands of images need to be produced.
It is not realistic to spend the same amount of time on every frame as you would on a major campaign image.
So the solution is not to work endlessly on every individual image.
The solution, in my view, is to:
Build a system capable of scaling quality.
With the right team, workflow, reference system, post-production and quality control, high-volume production and high standards do not have to be opposing ideas.
Seeing the demand developing in this area, I have recently started building a small team and a scalable production structure specifically around webshop and lookbook imagery.
What interests me most is not simply producing more images.
It is seeing how far the visual standard can be pushed with the same resources.
Because the biggest opportunity AI offers the fashion industry may not simply be lower production costs.
It may be the possibility of reaching visual standards that were previously difficult to achieve within the same budgets.
That requires seeing AI not only as a cost-reduction tool, but as a new production space for achieving stronger results.
While protecting the visual identity brands have spent years building.
Without sacrificing realism.
Without forcing every brand into the same AI aesthetic.
And without stopping the process of thinking simply because the technology has made production easier.
I created the studio, lookbook and e-commerce work shared alongside this article with the same approach. Through these examples, I want to show that it is possible to preserve realism, product detail and visual character at the same time.
I have included close-ups deliberately; I believe the care I describe should also be evident in the smallest details of the image.
I’ll let the images speak for the rest.