Jun 13, 2026
12 mins
Something has shifted on LinkedIn. Most people posting every day have not noticed it yet, but their audience has.
The feed is fuller than it has ever been. Executives publishing three times a week. Founders dropping "lessons learned."
Consultants sharing insights every morning at 8am. And most of it sounds like it came from the same machine, because it did.
AI-generated content on LinkedIn has surged 189% since ChatGPT launched, with over 54% of all long-form posts now likely written by AI.
More than half the feed is no longer written by the person whose name is on it. That is not a content strategy. That is a credibility problem and it is getting harder to ignore.
What "AI Slop" Is Actually Costing You
There is a term for what floods LinkedIn right now: AI Slop. Posts that are grammatically clean, structurally sound, and completely forgettable.
You know the ones. They open with "In today's fast-paced landscape."
They make three bullet points of advice so broad they could apply to any industry, any role, any era.
They close with a question like "What do you think?" that nobody answers because nobody felt anything reading it. The post took forty seconds to generate and it shows.
When an executive's profile fills up with AI Slop, something specific and damaging happens.
They stop sounding like a person who has spent twenty years building expertise in their field and start sounding like a corporate template that could belong to anyone.
The expertise is still there. It just stopped being visible. And on a platform where visibility of expertise is the entire point, that is a serious problem.
The mechanism behind this is worth understanding. When AI generates a post from a prompt like "write a thought leadership post about B2B sales," it pulls from the statistical average of everything it has been trained on.
The output is median content by definition. It offends no one, surprises no one, and gives no one a reason to trust the person behind it. Published at scale across thousands of executive profiles, it turns LinkedIn into a hall of mirrors where every reflection looks the same.
The data confirms what the reader experience already suggests. AI-generated posts receive 45% fewer engagements than human-written content, and 62% of social media users are less likely to trust content they know or suspect is AI-generated.
The blandness tax is real, measurable, and executives are paying it every time they hit publish on something a machine wrote without their actual thinking behind it.
The Zombie Engagement Problem Nobody Talks About
It is not just the posts that have been automated. It is the responses to them.
Scroll through any active executive's comment section and you will find them: comments that paraphrase the post back at the author in slightly different words.
"Great insights on leadership. It is so true that authenticity drives results in today's environment."
Nobody wrote that. A bot did, auto-triggered within minutes of posting to simulate early engagement.
Here is why this matters commercially, not just aesthetically. When a serious buyer lands on a LinkedIn profile and scrolls the comments, they are doing due diligence.
Think about who that buyer might be:
A CFO evaluating two vendors before a procurement decision
A founder considering a strategic partnership
A hiring committee researching an executive candidate
An investor assessing whether someone understands their space
What they find shapes how they feel before any conversation begins. A comment section full of suspiciously generic praise from accounts with no profile pictures and three connections does not signal credibility. It signals that nobody real is paying attention.
This is the ghost town underneath the Credibility Graveyard. Bots talking to bots, while real decision-makers disengage quietly. The impression numbers hold up. The trust does not. And trust is what converts.
The Algorithm Has Stopped Being Neutral
For a long time, LinkedIn's algorithm was relatively indifferent to quality. It rewarded engagement regardless of whether that engagement came from genuine interest or manufactured interaction. That era is over.
LinkedIn's 360Brew algorithm, a 150-billion-parameter AI model rolled out across 2025, replaced the platform's entire feed ranking infrastructure with a system built around semantic reasoning. It does not just count reactions.
It reads posts, evaluates the coherence between a creator's stated expertise and their actual content, and measures dwell time rather than clicks.
What 360Brew specifically rewards:
Concrete specificity. Posts with exact metrics, company names, timeframes, and named situations get 3 to 4 times the reach of generic content.
Substantive replies. Comments that add to the argument, push back, or ask a real follow-up are weighted far more heavily than "Great post!" reactions.
Topic consistency. Posting about 2 to 3 specific topics over 90 or more days builds algorithmic recognition as an expert in those areas.
Profile coherence. When someone claims expertise in their headline but posts generic content that anyone could have written, the AI flags the gap and reduces distribution.
The Line Between Tool and Replacement
Here is where most of the conversation about AI and LinkedIn goes wrong. The debate gets framed as "use AI or do not use AI," which is the wrong question.
The right question is: where in your process does AI enter, and what role does it play?
There are two fundamentally different workflows, and they produce fundamentally different results.
The version that builds authority: The executive starts with their own raw thinking. A voice note recorded while commuting. A half-formed opinion about something that happened in a client meeting last week. A specific observation about where their industry is heading that most people in the room would push back on.
That material, rough and specific and genuinely theirs, goes into an AI tool that helps shape it into a readable post. The structure gets cleaned up. The sentences get tightened. The final post is polished, but the substance came from a real person with real experience.
The version that builds a graveyard: The brief goes in. "Write a post about why personal branding matters for executives." The post comes out. The executive reads it, thinks it sounds reasonable, and hits publish. Nothing in that post could only have been written by them.
Nothing reveals what they actually think, what they have seen, or what makes their perspective distinct from every other executive posting about personal branding that same morning.
A survey of B2B buyers and executives found that 73% report credibility damage from poor-quality thought leadership content. The audience is not fooled. They may not be able to name what feels off, but they register the absence of a real person and adjust their trust accordingly.
"Over time, an executive who publishes this way does not build an audience. They build a presence without weight: visible but not influential, active but not trusted."
What Getting Out of the Graveyard Actually Looks Like
The fix is not complicated. It is just slower than the shortcut that created the problem.
Start with your own words, however rough. A voice note. A bullet list of what you actually think about something happening in your industry right now. A specific thing a client said last week that stuck with you. None of it needs to be polished. The rawness is the point. It is evidence of a real person thinking a real thought.
Then hand that raw material to AI. Let it impose structure, improve the opening, clean the language. Then read the output and ask one question: does this still sound like me?
If the answer is no, the AI has overwritten the thing that made it worth publishing.
Rewrite the parts that lost the voice. Keep the parts that improved the mechanics without erasing the person.
The process looks like this in practice:
Capture the raw thought in your own words, in whatever form comes naturally.
Pass it to AI with a specific brief: "shape this into a LinkedIn post, keep my voice, do not add anything I did not say."
Read the output as if you are a reader who does not know you. Does it sound specific? Could only you have written it?
Rewrite any section where the answer is no.
Publish the version that passed the test.
That process takes longer than generating a post from scratch. It also produces content that builds something: a body of work that reflects a real perspective, that gives the audience a reason to come back, and that makes the reader feel like they are learning from a specific person rather than consuming output from a machine.
The question worth sitting with is not whether you are using AI.
The question is whether anyone reading your last ten posts could pick your voice out of a lineup.
If the answer is no, you are not building authority on LinkedIn. You are maintaining a presence in a graveyard.
FAQs
Q: If AI posts get less engagement, why are so many executives still using them?
A: Because the feedback loop is slow. A hollowed-out personal brand does not collapse overnight. It erodes quietly over months, and by the time the pipeline dries up, the connection to posting behaviour is hard to trace. The posts kept going out. The engagement looked fine. The trust was disappearing the whole time.
Q: Does using a ghostwriter create the same problem?
A: Not when it is done properly. A good ghostwriter extracts your actual thinking through conversation, asking about specific situations, real opinions, and concrete experiences, and builds content from that raw material. The voice is constructed from something genuine. That is fundamentally different from prompting a model with a topic and publishing whatever comes back. The difference is whether real thinking was the input or whether the tool was asked to manufacture it.
Q: What are the executives growing on LinkedIn right now actually doing differently?
A: They are posting less frequently but far more specifically. They write about a narrow range of topics drawn from their actual domain of expertise. They share specific situations, not general principles. They hold opinions that a portion of their audience will disagree with. And they treat LinkedIn as a place to build credibility over time rather than chase reach in the short term.
Q: Is it worth posting on LinkedIn at all given the reach drop?
A: The 50% drop is an average that conceals a real split. Accounts posting AI Slop are experiencing the worst of the decline. Accounts posting specific, expertise-driven content are seeing stronger results than the pre-360Brew era because they face less competition from a more selective algorithm. The platform has not become less valuable. It has become less forgiving of content that was never valuable to begin with.
Charlie Hills
