For months, LinkedIn looked like a waiting room filled with cloned consultants.
Clean posts.
Too clean.
Calibrated sentences.
Soft ideas.
Comments repeating the original post with the intellectual depth of a tired photocopier.
Then LinkedIn took out the scalpel.
The platform says it wants to reduce the distribution of AI-generated content that lacks added value, perspective and a human voice. The affected posts will not necessarily be removed. They will simply be less widely distributed, especially beyond the author’s immediate network. In other words: no public trial, no spectacular ban, just a slow disappearance into algorithmic silence. (BDM)
AI Was Never the Problem
AI did not destroy LinkedIn.
It simply exposed the poverty of some content.
Before generative AI, people had to at least pretend to think before publishing. Today, a lazy prompt is enough to produce a polite, structured, reassuring and perfectly forgettable text.
That is where the trap closes.
A post can be grammatically correct and completely empty.
It can be fluid and have no angle.
It can be optimized and trigger no thought.
It can tick every “best practice” box and still make people mentally disappear.
LinkedIn is not penalizing the tool. LinkedIn is penalizing the absence of point of view.
Laura Lorenzetti, LinkedIn’s VP and Head of Editorial, explains that AI can help people write, but posts and comments must represent the author’s voice and perspective. LinkedIn also says its early testing correctly identifies generic content 94% of the time. (LinkedIn)
That is the shift: the platform is no longer looking only for content. It is looking for substance.
The New Luxury: A Thought That Cannot Be Outsourced
For years, many people believed LinkedIn visibility was about cadence.
Post often.
Post early.
Post with short lines.
Post with a hook.
Post with a question at the end.
Post with a recognizable structure.
Then AI arrived, and everyone could produce the same thing.
Scarcity moved.
The luxury will no longer be writing fast.
The luxury will be having lived through something.
Having failed.
Having observed.
Having taken a risk.
Having changed your mind.
Having a professional scar to put on the table.
AI can structure a thought. It can improve wording. It can challenge an angle. It can create an outline. It can accelerate a draft.
But it cannot have been kicked out of a meeting.
It cannot have lost a client.
It cannot have felt the awkward silence of an executive committee.
It cannot have carried an unpopular decision alone.
It cannot have lived your turning point.
The human voice does not come from style. It comes from lived experience transformed into perspective.
Generic Content Is Becoming Professional Pollution
LinkedIn is now using more advanced systems to improve Feed relevance, including models that better understand what posts are about and how members’ professional interests evolve. LinkedIn says it wants to show fewer repetitive posts, fewer low-substance posts and more actionable ideas, thoughtful perspectives and authentic exchanges. (LinkedIn News)
This is an important shift.
We have talked about “content” for too long as if the word itself were enough. Yet not all content deserves distribution.
Content can inform.
Content can clarify.
Content can create a conversation.
Content can move a belief.
Content can make expertise visible.
But content can also pollute.
“AI slop” describes this phenomenon well: content generated at scale by AI, with little effort, low quality and overwhelming volume. (BDM)
On LinkedIn, this pollution has a specific flavor: hollow seriousness.
It does not look like crude spam.
It looks like lukewarm professional wisdom.
It often starts with a dramatic sentence.
It continues with three obvious ideas.
It ends with a weak question.
And nobody remembers anything.
LinkedIn Is Returning to Its DNA: Lived Expertise
LinkedIn’s documentation explains that its Feed uses signals related to professional identity, content and member activity. The platform also states that its systems reduce the visibility of low-quality content to support a constructive and trustworthy professional experience. (LinkedIn Help)
This matters.
LinkedIn is not TikTok in a grey suit.
LinkedIn is not Instagram with a corporate badge.
LinkedIn is not a contest of caffeinated inspirational lines.
At its core, LinkedIn remains a network of professional credibility.
What should circulate there is not merely pleasant content. It is transferable experience.
A CEO explaining why a transformation failed.
An HR leader describing the human cost of poorly managed change.
A sales professional sharing what a client refusal taught them.
An entrepreneur describing a pricing mistake.
A manager daring to talk about a decision they regretted.
An expert taking a stand instead of recycling consensus.
That is what AI does not replace: responsibility for a point of view.
AI Does Not Replace Thought, It Tests Its Strength
In my book, I explain that AI becomes relevant when it improves quality, increases productivity or enables what was previously impossible (my book, chapter 14).
That framework works perfectly for LinkedIn.
Using AI to write faster has no value if you think less deeply.
Using AI to produce ten mediocre posts instead of one useful post is regression.
Using AI to smooth your voice, remove your edges, neutralize your experience and turn your thinking into consensual mush is personal brand sabotage.
But using AI to clarify a strong idea, test a hook, detect a contradiction, structure an experience or improve the readability of an argument can become an advantage.
The difference lies in the order of operations.
Bad use:
AI first, human second for quick validation.
Good use:
Human first, AI second to raise quality.
In the first case, you delegate your thinking.
In the second, you increase your standards.
The Professional Mistake: Confusing Productivity With Banality
One of the great misunderstandings around generative AI is the confusion between speed and value.
Yes, AI helps produce faster.
Yes, it reduces writing friction.
Yes, it helps overcome the blank page.
Yes, it gives an immediate impression of competence.
But productivity applied to poor raw material simply produces more mediocrity.
An empty post written in thirty seconds remains empty.
A missing point of view does not become deep with better vocabulary.
A lack of experience is not corrected by a three-part structure.
That is why some companies and creators are moving back toward more human content. Business Insider reported that Steven Bartlett’s team, despite being heavily involved in AI, stopped using AI-written copy for LinkedIn posts because they believed human-written content performed better and cut through the noise more effectively. (Business Insider)
It is an interesting signal: when everyone automates, the human becomes the differentiator.
Authenticity Is Not Staged Imperfection
There is another risk.
As human content becomes more valuable, some will manufacture fake authenticity.
Intentional typos.
Calibrated confessions.
Theatrical vulnerability.
Failures turned into sales funnels.
“True stories” rewritten like personal development scripts.
Audiences are not stupid.
They quickly feel the difference between useful vulnerability and instrumentalized vulnerability.
A human post does not have to be clumsy.
It does not have to be intimate.
It does not have to reveal trauma.
It simply has to contain a clear trace of reality.
A situation.
A tension.
A choice.
An observation.
A learning.
A position.
Authenticity is not self-exposure. It is alignment between what you have lived, what you think and what you dare to write.
What Creators Must Change Now
Publishing on LinkedIn is becoming an editorial strategy exercise again, not only a productivity exercise.
Before asking AI to write, creators will need to ask more demanding questions.
What have I seen that others missed?
What personal experience supports my point of view?
What idea truly deserves to be defended?
What intellectual risk am I willing to take?
What nuance can I bring to the debate?
What sentence could only come from me?
This is where personal branding begins.
Not in the logo.
Not in the professional photo.
Not in publication frequency.
Not in copied-and-pasted comments.
It begins in the ability to become recognizable through the quality of your perspective.
Hootsuite already noted that the LinkedIn algorithm is designed to fill the Feed with relevant professional advice and expertise, rather than pure virality. (Hootsuite)
Virality without credibility is a short-lived flame.
Credibility with consistency becomes an asset.
The Return of Point of View
This movement goes beyond LinkedIn.
It belongs to a broader crisis of digital trust. The Reuters Institute reported in its Digital News Report 2025 that 58% of respondents worldwide say they are concerned about what is real and fake online when it comes to news. (Reuters Institute)
Even if LinkedIn is not a news outlet in the strict sense, the psychological mechanism is close: when feeds fill with synthetic, repetitive or questionable content, trust moves toward human signals.
Who is speaking?
From what experience?
With what legitimacy?
With what risk?
With what precision?
With what responsibility?
The future of professional content will not be a battle between humans and AI.
It will be a battle between authors and content operators.
The author has a perspective.
The operator has a cadence.
The author has a thesis.
The operator has an editorial calendar.
The author accepts disagreement.
The operator optimizes to offend no one.
The author builds a reputation.
The operator manufactures volume.
LinkedIn has just reminded everyone of something simple: volume without value eventually becomes expensive.
AI as a Revealer of Laziness
The irony is delicious.
AI was supposed to make us smarter. It sometimes reveals our laziness.
It shows who has a thought and who only had a publishing method.
Who uses the tool to go deeper and who uses it to fill space.
Who has experience to transmit and who is looking for a sentence that sounds good.
AI can become a wonderful editorial collaborator.
But it becomes a disaster when used as an intellectual alibi.
On LinkedIn, the future belongs to those who know how to combine three elements:
lived experience, clear thinking and AI-augmented standards.
The others will have flawless posts.
And nobody to read them.
References
(BDM) = https://www.blogdumoderateur.com/linkedin-penaliser-publications-generees-ia/
(LinkedIn) = https://www.linkedin.com/pulse/keeping-conversations-real-linkedin-laura-lorenzetti-9821e/
(LinkedIn News) = https://news.linkedin.com/2026/ImprovingTheFeed
(LinkedIn Help) = https://www.linkedin.com/help/linkedin/answer/a1339724
(BDM) = https://www.blogdumoderateur.com/ai-slop-web-decharge-numerique/
(Business Insider) = https://www.businessinsider.com/diary-of-a-ceo-star-steven-bartlett-stopped-ai-linkedin-2026-3
(Hootsuite) = https://blog.hootsuite.com/linkedin-algorithm/
(Reuters Institute) = https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/dnr-executive-summary
