You have seen the phrase by now: AI slop. It started as a label for low-effort AI content flooding feeds, and it has widened to include anything technically competent that still feels generic and hollow. Audiences have learned to spot it, and they have started to hold it against the brands that publish it.
The numbers behind the mood are striking. 54% of Americans report AI fatigue. Only 19% say they feel excited about AI, down from roughly 50% two years ago. And when people believe an emotional marketing message was written by AI rather than a person, they judge it less authentic and show weaker purchase intent, even when the content is otherwise identical.
What the backlash looks like in practice
McDonald's Netherlands pulled an AI-generated Christmas ad after viewers called it soulless. Coca-Cola took similar criticism for AI-generated holiday content. The pattern across the failures is consistent: AI was used to generate emotional content in exactly the moments audiences were looking for human warmth.
Meanwhile, brands moving the other direction are seeing results. One large apparel brand's public no-AI pledge for its imagery was followed by a reported 23% sales increase the next quarter. A few brands now put "no AI" disclaimers on campaigns the way food brands put "organic" on labels. Whether or not that lasts, it tells you what customers currently reward.
Why this favors small brands
Here is the part most trend pieces miss. This backlash is not anti-AI. It is anti-fake. And on the authenticity axis, a small brand holds cards a large one cannot buy:
A founder with a name and a face. A workshop that actually looks like that. Products you can film being made, packed, and shipped by the person who designed them. The occasional imperfect photo that proves a human took it. Large brands spend millions trying to simulate this. You have it by default, and AI-generated sameness everywhere else makes it more visible, not less.
Where to draw the line with AI
We should be clear about where we stand: we use AI constantly, and this site is partly built with it. The line that works is not "AI or no AI." It is backstage versus onstage.
| Backstage: let AI do it | Onstage: keep it human |
|---|---|
| Research, analysis, and summarizing data | Your brand story and founder voice |
| First drafts, variations, and testing | Emotional moments: holidays, milestones, apologies |
| Product data, tagging, and catalog upkeep | Photos and video of real products and real people |
| Automations, workflows, and reporting | Replies to customers who are upset |
Notice the split is not about effort. It is about where the audience expects a human on the other end. Break that expectation and you pay for it in trust.
What to actually do this week
- Audit where AI currently touches customer-facing content. Product photos, social posts, email copy, ad creative. For each one, ask: would a customer feel misled learning how this was made?
- Put your face back in the brand. One founder post, one behind-the-scenes photo, one signed email. Small brands consistently underuse their single biggest advantage.
- Move AI effort backstage. If AI has been writing your Instagram captions, flip it: let AI handle the product tagging and research, and spend the saved time writing three captions yourself.
- Stop polishing everything. A slightly imperfect photo of a real thing now outperforms flawless renders in feed after feed, because imperfection has become proof of humanity.
Frequently asked questions
Should I stop using AI in my marketing?
No. Stop showing it. Use AI for research, drafts, data work, and automation, and keep the customer-facing voice and imagery human. The brands getting punished are the ones putting AI onstage, not the ones using it backstage.
Do I need a "no AI" disclaimer?
Only if it is true and you can keep it true. A broken authenticity promise costs more than never making one. For most small brands, visibly human content does the work without a label.
Does AI-generated content hurt my search and AI visibility too?
Generic content hurts you everywhere. Search engines and AI assistants increasingly reward first-hand experience and original information, which is exactly what generic generated content lacks. Write from what you actually know and the same content works for humans, Google, and ChatGPT.
What about AI product photos?
Risky for the product itself, fine for backgrounds and mockups. Customers who feel a product photo misrepresented what arrived will say so in reviews, and reviews feed everything else.
The short version
People are tired of content that feels generated, and they reward brands that feel human. That is a gift to small brands, because being human at small scale is free. Use AI hard where nobody sees it, keep your face and voice where everybody does, and let the big brands keep publishing the sameness you are being compared against.
If you want help setting up the backstage so you have more time to be the onstage, that is exactly the kind of thing we do. Start a conversation.