LinkedIn has added a way for readers to report a post as AI slop, and posts flagged that way appear to be getting less reach than they did before the button existed. LinkedIn hasn’t said it penalizes AI content directly, so the honest answer is that the reporting and the reduced reach are happening at the same time, and you should write accordingly.
I pulled this one up live on the show because it’s the rare platform change that actually tells you something about where content is heading. And if you scroll LinkedIn lately, it’s sad to say, but you could wear that button out just going down the feed.
What is the LinkedIn AI slop button?
It’s a report option on posts, the same way you’d report spam. A reader sees something that reads like it came out of a machine, taps the option, and LinkedIn logs it. That’s the whole mechanism. It’s a signal from readers, not a detector.
That distinction matters. Nobody is scanning your writing and stamping it. Other humans are reading it and deciding it feels synthetic. So the thing you’re writing against is a person’s gut reaction, and people are getting very good at spotting the pattern. When enough readers tap that button, the post stops traveling, whether or not LinkedIn ever explains why.
Is LinkedIn actually reducing reach on AI posts?
I want to be careful here, because I was careful on air. LinkedIn has pointed at reduced performance for content flagged as AI-generated. But LinkedIn didn’t comment specifically on the button. So I can’t tell you a post gets penalized because it was written by AI, even though I think that’s what’s going on.
Treat it as a strong signal rather than a confirmed rule. The useful part is that the practical guidance doesn’t change either way. If readers are reporting it and reach is down, you don’t need the mechanism explained to know what to do differently. Write like a person, post like a person, and let the platform sort out its own rules.
Should I stop using AI to write my content?
No. Use it for the part it’s good at and take back the part it isn’t good at.
We can still use AI to create content, meaning your AI partner can help you come up with things to say. That’s idea generation, outlining, finding the angle, and remembering the story you told six months ago. That work is invisible to the reader and it saves you real time.
What changed is the last step. Do everything you can to perform it yourself. Type it, talk it out, do a live video, or film yourself talking. Don’t just have your AI create it and paste it in, and definitely don’t have it post directly.
Why does performing it yourself work?
Because the tells that get a post reported live in the delivery, not the idea. Nobody flags a post for having a good point. They flag it for sounding like nobody was home when it was written. When you say the thing out loud in your own words, the rhythm breaks, you use your own examples, and you say something slightly off in a way a machine never would. That’s the texture readers trust.
It’s also faster than you’d expect. Talking through a post takes ninety seconds. Editing a synthetic draft into something that sounds like you usually takes longer than that, and you still end up with a post that’s a little bit nobody’s. Say it first, then clean it up. That order matters.
What should I actually change this week?
Keep your AI in the drafting chair and get yourself back in the publishing chair. Ask it what’s worth saying, what you’ve already said, and what angle you’re missing. Then close the window and say it yourself.
This is going to be true beyond LinkedIn. The platforms are all heading the same direction, because their readers are. Building the habit now costs you nothing and saves you a rebuild later.
Questions owners ask
Can LinkedIn detect AI-written posts automatically?
The reporting mechanism is driven by readers, not a detector. People flag what feels synthetic to them.
Will my older AI-assisted posts get penalized retroactively?
There’s no indication of that. The practical concern is what you publish going forward.
Is it okay to use AI for outlines and ideas?
Yes, and that’s where most of the time savings actually are. The caution is about letting AI produce the final published words.
What about AI-assisted editing, like fixing grammar?
Light editing of your own writing isn’t the problem. The problem is copy that was generated whole and pasted in unchanged.
Does this apply to other platforms?
LinkedIn moved first and most visibly, but reader fatigue with synthetic content isn’t specific to LinkedIn. Assume it spreads.
Watch the full episode of Businessing with Pat Miller.
Here’s the homework. Take your next post and record yourself saying it out loud before you write a word. Transcribe that, clean it up lightly, and publish that version instead. Then compare how it performs. If you want to see how other owners are using AI without sounding like it, that conversation happens every week inside the Small Business Owners Community, and it’s $19 a month.
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