AI does not cause mediocrity. It simply makes mediocre choices cheaper, faster and easier to execute at scale. Value therefore shifts from making to knowing what not to make.

For a long time, producing professional-looking content was mainly a practical problem. It took time, people, budget and technical know-how. AI has removed most of that barrier. Text, visuals, presentations and campaigns can now be produced, tested and adjusted within hours.

That's a real gain. But the most important question hasn't become any simpler. It was never just “can we make this?” but above all “should we make this?”. The answer doesn't follow from production capacity. It requires context, sources, positioning and a choice someone takes responsibility for.

Well-written can still be wrong

On the cover of a recent AVALON carousel: PICK ONE. THEN SWIPE.

Short, clear, usable as a call to action. One problem: at that point there was nothing to choose yet. The actual options only appeared further into the carousel. So the copy wasn't badly written. It simply didn't match what the viewer was seeing at that exact moment. That's why it was cut.

That distinction shows up everywhere. An opening line can sound clever and still be too contrived. A tagline can add rhythm while flattening the character of the visuals. A joke can work on paper and, in the final post, mainly show that someone tried to make a joke.

Good copy and communication that is right for the context are two different things. The first can be generated quickly. The second requires checking the output against what is actually on screen.

Reality remains the source

In product communications, information in a video may differ slightly from the verified product data. You do not solve that by phrasing the uncertainty more smoothly. The reliable source determines what can be published, and it takes priority.

AI is excellent at helping with that: placing sources side by side, flagging discrepancies, checking claims, testing phrasing. But speed changes nothing about the order of operations. First it has to be established what's true. Only then comes the question of how to say it.

Consistency is not identity

Generative systems reproduce patterns. They know what a strong opening line, a professional visual or a persuasive brand message looks like. That lets them effortlessly produce communication that resembles everything and belongs to no one. Not because AI leads to mediocrity, but because a recognisable pattern is cheaper to generate than the right choice.

At Simply Dom, the phrase “by the same person” was considered. It captured continuity and direct involvement concisely, and it read well. But it pushed the brand towards a solo or freelance image and failed to reflect Henri's role and the additional capacity Simply Dom can bring in. The appealing line was therefore left out. Not because it was poorly written, but because it would have spread the wrong impression efficiently.

That is a strategic decision, not a copy decision. And that layer becomes more visible precisely as the text itself costs less.

Where value shifts

As production becomes cheaper, value shifts to the quality of what comes before and after it: observing more closely, checking sources, understanding context, comparing alternatives and recognising when a sentence is strong on its own but does not belong here. Above all: cutting.

Simply Dom uses AI intensively for research, analysis, comparison, auditing and production. Not as a replacement for strategy, creativity or judgement, but as a way to surface more options faster. Responsibility for the choice does not disappear.

Generating is not choosing. Consistency is not identity. More output is not better communication.

The cheaper it becomes to make content, the more valuable it becomes to know what not to make.