The Silent Displacement No One Wants to Speak about.
There is something incongruent going on in creative agencies at the moment. Budgets are shrinking. Timelines are compressing. And more and more brands are privately swapping out freelance illustrators, photographers and graphic designers with generative AI tools, and not disclosing it publicly.
This isn’t speculation. It is enacted in Slack channels and procurement spreadsheets throughout the industry.
The image generator is not an ai that has infiltrated advertising. It was virtually rolled on a red carpet. Generative tools provided better turnaround and reduced costs, which brands required. What no one could have ever expected was the speed with which the concept of creative teams being supplemented would give way to the idea of creative teams being replaced.
There’s a big difference between the two. And that is a gap to be looked into.
The Reason Brands changed
Speed is the obvious answer. What used to take three weeks of concept development, photo scheduling and post-production is now possible within a dozen or more visual variations within an afternoon. With promotions that require timing, e.g. flash sales, seasonal, reactive social content that is truly transformative.
Cost is the second driver. Getting a custom illustration of a talented artist could cost between 500 and 5,000 depending on the complexity and the rights to use the illustration. When it is ran on a generative platform, it can cost a fraction of that, less than a dollar per image.
With high-volume, low-stakes content – say banner advertisements to regional markets or background images to email newsletters – the mathematics becomes difficult to dispute.
However, this is where brands usually slip up: quality ceiling. An AI realistic image generator can be things that creates technically refined results in disturbing speed. Photorealistic product images, mood-lit lifestyle pictures, abstract conceptual images, all at a cost that is affordable. lack of originality in the strategic sense. The nature of visual thinking which is the result of a designer who has spent months learning about the audience of a brand, its cultural positioning, its competitive whitespace.
Generative tools are great at performing the visual languages that exist. Inventing new ones, they are not that good at it.
The Brands That Are Deeply In
Companies of fast-moving consumer goods were the quickest. Brands of beverages, snacks, personal care brands – the fields, where the visual grammar is comparatively fixed and the content rhythm is ruthless. Social media needs to be fed all the time, and generative tools feed it inexpensively.
Another early adopter is retail. Mockups of products, seasonal style books, in-store displays, all more and more AI-generated and never seen by a human before it is eventually reviewed. Other retailers have completely eliminated the last stage of human review of lower priority material.
The luxury industry has been more conservative, and with reason. In the case where the total equity of a brand lies in the image of the craftsmanship and exclusivity, the publication of the images that were obviously created with the help of AI is associated with reputational risk. The audience notices. And they talk.
One interesting trend between categories: brands are not typically making such announcements. It does not release a press statement that says that it has replaced its design team with generative software. It is a gradual change, which is usually carried out quietly, under the guise of workflow optimization.
What Gets Lost in the Translation
Take into account choices of colors. An experienced designer bases decisions on cultural identifications, competitive distinction and psychological studies that are particular to the target market. The outputs of an AI image tool are visually coherent given training data – i.e. outputs that have a tendency to behave like whatever has been successful across millions of images in the past. Competent. Averaged. Old in a manner that does not make a difference.
Typography choices are likewise flattened. Hierarchy, spacing, pairing – generative systems do just as well at these, but lack the micro-evaluation of when this is a sign of urgency or danger.
And there is the issue of provenance. Who is the owner of the visual idea when the image is generated and not created? Laws are lagging behind. Other brands have been asked embarrassing questions regarding whether their AI-generated campaign imagery are too similar to existing copyrighted work in the training data. It is a grey zone that is being defined inexpensively, slowly by courts.
A More Honest Framing
Generative tools do not necessarily become the foe of good advertising. When properly employed, they can act like any other production technology – they can either be used to serve creative vision, or to cheapen it, depending on how they are directed.
The Straightforward query that brands ought to pose is not whether or not we can substitute designers with AI. It is what is being creatively invested back in our audience. What do they actually need?
In the case of certain brands within certain categories, the response truly justifies the heavy reliance on generative production. To others, it is an indication of maintaining the human creative engagement exactly due to the fact that the audience can sense the distinction between the thought through and the rendered work.
The displacement will not be reversed. Production by generative means is simply too rapid and too cheap to be forsaken by market forces. However, the brands who are considering it as a full replacement of creative thinking and not an accelerating factor of production are betting on efficiency in the short term and brand equity in the long term.
That is not a free upgrade, that is a trade-off
The brands that are getting it right today are the ones who applied AI tools to manage execution on a large scale without jeopardizing the upstream creative thinking- the strategy, the cultural understanding, the calculated visual decisions- as an investment that cannot be compromised. Not everyone likes that kind of a halfway ground. But it is a more justifiable one than either extreme.
What is obvious is that the industry is half experiment and the outcomes are not in yet. Three years later, inquire which brands leveraged this moment to create something and which brands drained their creative potential on a temporary budget victory. The market has a habit of responding to such a question in the long run.
