Generative AI has become a fast collaborator for millions of marketing teams. When everyone can create more, and faster, something else becomes rare: character, taste and a human signature.
A year or two ago, every demo of generative AI still felt like a small miracle. »Look, chat found the data for me.« »It helped me catch typos.«
Today, what we admired the year before last is ancient history. A few prompts later you get five headlines, five ad variants, a campaign draft, a translation, a research summary, a script outline and a visual to go with it. What once took hours is available almost immediately.
That is a genuine opportunity. It also creates a new problem: if almost anyone can produce generic content very quickly, the market fills with pieces that look suspiciously alike. The same structures, the same lofty but thin slogans, similar words, the same feel. Plus those kitsch-laden visuals, from a 40th-work-anniversary card to a roadside billboard for miracle protein.
AI is not the problem by itself. The problem is when we all start sounding the same, and the audience can no longer tell us apart. Because, at least for now, people still buy our products and services, not AI.
Instant »chat« content can feel almost free. What is worth far more is the content the audience recognizes as yours.
English already has an unkind name for the flood of shallow, generic AI content: AI slop. It is not about the fact that a computer made it. It is content where a human contributed nothing except a short instruction: »write me a text about this and that.« Yes, chat tools are getting better at this, at least on the first pass. But without lived experience, insight, context and editorial judgment, you get copy that can be grammatically flawless and completely impersonal. A competitor could publish it with almost no changes.
AI is not the problem. Your invisibility is
Think of LinkedIn. You have probably seen posts that open with a big question and continue with five neatly formatted lessons, complete with bullets and the same emojis every time. After a stretch of posts about heroes who save their business day and night with genius ideas, last summer’s suspiciously frequent hit was the dramatic step-back: »I’m not here. I’m on holiday and I finally see that I cannot tear myself in half, I cannot personally save the world, so I am logging off.« One post may not be bad. Read ten in a day and the line between authors blurs fast. As for comments now packed with generic AI-flavoured fake empathy and sugary praise, we will leave that aside.
LinkedIn’s marketing analyses this year also stress that as content gets easier to produce, trust and authentic, human-led communication matter more. A similar signal is coming from the wider digital environment. In the European Union, new transparency duties have applied since August 2026 on disclosing AI-generated and altered content. That does not mean every marketing text that AI helped with must be labelled. It does mean that origin, trust and whether content is real are becoming more important.
What should AI do, and what should you not hand over?
AI in marketing is most useful when we do not try to replace thinking with it, but to speed thinking up. Ask it where it sees itself as an assistant. The five points below were contributed by the paid version of ChatGPT Plus:
»In the marketing process I can be an excellent assistant for:
- researching a topic, finding different angles and structuring the material,
- preparing several versions of headlines, ads or CTAs,
- summarising, translating and adapting one piece of content to different formats,
- analysing a large volume of comments, data or feedback,
- a first draft, after which a human does the real editorial work.«
Be much more careful with the idea itself, the main message you want to send, the judgment of what tone fits the context, which life or business experiences belong in the piece, how much room there is for humour, and so on. Those are the places where your brand gets its »I«, the recognizable character that sets it apart.
Thought first, then the prompt
The big difference is already in where we start. If we tell AI »write a thought-leadership post about good leadership«, it will spit out a generic stance on its own. The result will almost inevitably be play-it-safe, washed out and predictable.
A better approach is to record two minutes of your own observations after a meeting, with the team adding a concrete example from the company. If AI is involved at all, let it help structure, shorten and sharpen the language. The stance stays human. The technology takes some of the routine work away.
How are you doing?
For a quick test, take your last few posts, newsletters or articles and answer five questions. No, chat did not write these.
- Could a competitor publish almost the same text or image, down to the last full stop?
- Did we include a concrete example, a figure or an experience from our company, a link to the product?
- Would the audience recognise the brand if you removed the name and the logo?
- Is there at least one thought where a living person had to take a stance or a decision?
- Did someone actually edit the last version, or did it go out practically straight from the chatbot?
If the answer to the first question is yes, and the next ones are mostly no, you have probably gained speed and lost distinctiveness.
AI as copilot, not autopilot
The most practical model is not complicated. A human sets the goal, chooses the topic, contributes the experience and says what they actually think. AI helps research, tidy up and prepare variants. The human then checks the facts, picks the best direction and cuts anything that sounds generic or too perfect.
That way we get the best of both: the speed of the technology and human judgment. And let’s be clear: there is no need to romanticise the days when we spent two hours on every first draft, then another three hunting sources and going in circles. It is equally pointless to automate the very thing that makes a brand interesting. And for heaven’s sake, do not give chat the last word, and do not blindly trust its claims and sources.
Speed can be the standard, but not at the cost of being recognizable
Generative AI will keep making content production cheaper and faster. That means even more content, and even tougher competition for attention.
So an interesting paradox can appear: the more AI can create, the more value will sit in a clear point of view, experience, humour, controlled risk and your own taste. The things that turn »correct« copy into something people remember.
The winners will not be the companies that use AI the least. They will probably be the ones that use it just enough, without losing their voice in the process.
If you want AI to speed up your marketing without replacing your voice, get in touch.
