Every AI post looks the same right now. Here’s your opening.
Quick Answer
A July 2026 study found that 81.2% of a defined sample of 5,000 long-form LinkedIn posts were likely AI-written, and LinkedIn has begun rolling out a way for members to flag posts that read that way. The practical takeaway isn’t to use AI less. It’s to give AI something specific and true to work with, an approved example, a real number, or a genuinely held opinion, before asking it to write anything. That’s the difference between content that blends into the feed and content that sounds like your company.What’s actually happening in the feed right now
In July 2026, Originality.ai analyzed 5,000 public LinkedIn posts of at least 100 words across nine topics and classified 81.2% as likely AI-written. That’s the study’s defined sample, not a measurement of every post on the platform, but it’s up sharply from roughly half of long-form posts in the same study’s late-2024 round, using the same nine topics and the same 100-word method. LinkedIn has responded too: the company confirmed it had begun rolling out a “Seems like AI slop” feedback option that lets members flag posts and ads that read as generic, low-effort AI output. LinkedIn hasn’t said whether the option is available to every user yet. There’s a real shift happening in how companies try to stand out inside all of that sameness. A growing category of tools is built around giving a brand a more personalized AI voice, so its content sounds less like every other AI-written post. We built our own version of that idea at Lucé Media, our AI Brand Voice Profile, because the instinct behind it is right. Generic prompts produce generic content, no matter how good the underlying model is. Both of those signals point at the same problem from different directions: a lot of AI content looks alike, and people are starting to notice.Why this matters more than it seems
That pitch is exactly why the feed looks the way it does now. When a strategy this simple gets adopted this broadly, it stops functioning as an edge. It becomes the baseline everyone gets measured against. A lot of AI-assisted content now sounds competent and says nothing memorable. That’s not necessarily a defect in any single post. It’s what happens when thousands of posts get built the same way, from a similar prompt, aimed at a similar outcome.
The shift most companies haven’t made yet
Marketing teams adopted AI to produce more content because, if we’re honest, most business owners didn’t get into business to become a content creator in the first place. Many succeeded at producing more. The risk is that a lot of that output ends up interchangeable: swap the company name, and the post could belong to a competitor. That’s a real problem for a B2B brand trying to build trust with a buyer who’s doing quiet research long before ever picking up the phone.What good actually looks like now
The companies most likely to stand out are not necessarily avoiding AI. They’re giving it something specific to work with: an approved example from a real project, a verified number, a genuinely held opinion, or a documented lesson the company learned the hard way. AI is strong at shaping raw material into clear, readable content. It’s weak at inventing that raw material in the first place, and whatever material it’s given should be accurate and cleared for publication before it goes anywhere near a draft. That part still has to come from you.
What to do this week
Take one piece of content your team already has planned this week, a post, an email, a short article. This adds one deliberate step before drafting, but it gives the final content a stronger source to work from than a generic prompt would.The bigger opportunity
The flood of generic AI content isn’t necessarily a reason to slow down. If anything, it’s a competitive opening. When an entire market starts sounding the same, the bar for standing out gets lower, not higher. The goal isn’t to out-produce competitors who are already posting constantly. It’s to out-specific them. A single real, well-told detail is more likely to hold attention than another round of generic posts in a feed this crowded. What sets content apart now is whether it sounds like it came from your company specifically, or from the same AI model everyone else is using. That’s not really a technology question. It’s a leadership question, because only you and your team know which stories are worth feeding into the machine, and no AI tool can make that call for you.Frequently asked questions
Are most LinkedIn posts actually written by AI now?
Not exactly. A July 2026 study by Originality.ai analyzed a defined sample of 5,000 long-form LinkedIn posts across nine topics and classified 81.2% as likely AI-written. That’s a specific, repeatable sample of public posts meeting set criteria. It doesn’t establish what share of all LinkedIn posts, or any individual’s personal feed, are AI-written, though it does track a consistent upward trend over time using the same method.
What is LinkedIn’s “Seems like AI slop” feature?
It’s a feedback option LinkedIn confirmed it began rolling out, letting members flag posts and ads that read as generic or low-effort AI output. LinkedIn hasn’t said whether the feature is available to every user yet, but it signals the platform is responding to a broader pattern of AI-generated content in the feed.
Is using AI to write content actually a bad idea?
No. The problem isn’t AI itself. It’s using AI without giving it anything specific to work with. AI is genuinely good at shaping raw material into clear, fast content. It just can’t invent that raw material. That still has to come from your team.
What’s the fastest way to make AI-assisted content sound less generic?
Before you open an AI tool, write down one real, specific detail only your company could offer: an approved example, a verified number, an honest opinion, or a documented lesson. Hand that to AI and ask it to build the content around that one true thing. It adds a step before drafting, but it gives the output something to work from that a generic prompt can’t.
Do I need to hire a content team to fix this?
Not necessarily, but you do need someone responsible for supplying the real material AI can’t invent. For a lot of companies, that’s exactly where a content strategy partner like Lucé Media helps: not by replacing your voice with AI, but by helping you feed it the right things.
