LinkedIn is trying to make its feed feel more human at a time when AI-generated posts, automated comments and recycled career advice have become harder to ignore. The company says its systems have reduced views of content it classifies as AI slop by 40%, while more than one million members have used a new feedback option to flag posts they believe are generic or low-value.
The numbers do not mean LinkedIn is automatically punishing every post written with AI. The company’s definition focuses on whether a post adds a real point of view, useful experience or original insight. That distinction matters for creators, consultants and businesses that use AI to help produce content but still need their work to sound like a person.
What LinkedIn means by AI slop
LinkedIn describes AI slop as low-effort, likely AI-generated content that may look polished but lacks a clear point of view, unique perspective or substance. The company says the issue is not simply whether a tool was used; it is whether the result feels generic, repetitive, recycled or designed mainly to game attention.
That distinction is important because AI can be useful for proofreading, outlining research, summarizing notes or improving clarity. LinkedIn says members can still use AI assistance, but the final post should reflect their own experience and expertise rather than read like a mass-produced template.
The feedback option allows members to choose Seems Like AI Slop from a post’s three-dot menu. LinkedIn says that signal helps inform its systems, and a post that receives enough feedback may prompt a private note in the author’s analytics. The company says no single report determines distribution.
The 40% figure — and what it actually measures
LinkedIn reported that views of content it classifies as AI slop had fallen by 40% after the company expanded its classifiers. The company also said more than one million members had used the feedback tool since it launched in August. Those are related parts of the same effort, but they are not the same measurement.
The 40% figure is not a promise that every post marked by a reader loses 40% of its reach. LinkedIn says its distribution systems use multiple signals and safeguards. Reporting from Moneywise also noted that the decline was attributed to LinkedIn’s classifiers, not simply to the number of people clicking the feedback button.
In an October update, LinkedIn’s engineering leadership described a system that combines automated models with human review for difficult cases. Social Media Today reported that the company said its classifiers had expanded to posts distributed beyond a member’s immediate network, with 94% precision in detecting content it considered AI slop.
How creators can protect the value of their posts
The practical lesson is not to stop using AI. It is to stop publishing the first generic answer an AI tool produces. A strong post should include a specific experience, a clear opinion, original reporting, a useful example or a lesson that could only come from the person publishing it.
Creators should also avoid repetitive engagement bait, copied listicles and automated comments that add nothing to the conversation. If a post could be published by thousands of accounts without changing a word, it probably needs more substance before it goes live.
For a business page, the same rule applies: use AI to save time on structure and editing, then add the details that prove the business understands its audience. LinkedIn’s crackdown is aimed at low-value output, not at the simple act of using a writing tool.
LinkedIn’s numbers suggest that users are actively asking for a more useful feed. For creators, the safest strategy is to make every post recognizably theirs: specific, helpful, grounded in experience and worth reading even if the algorithm never rewards it.
Sources and further reading
- LinkedIn: How it is continuing to tackle AI slop
- Social Media Today: LinkedIn’s AI slop detection system
- The Verge: More than one million people have used LinkedIn’s AI slop button
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