No more silently enduring the soporific, life-lesson-in-a-cup stories—“Here’s how I learned a life lesson by ordering a coffee.”
Since the end of July, LinkedIn members can flag, with a click, posts that smell like content churned out by AI… the infamous “AI Slop.” The professional networking site, owned by Microsoft, rolled out a new reporting button dubbed “Seems like AI slop” — literally “AI slop.”
The initiative comes as several studies converge on the same finding: LinkedIn has become, more than any other network, the prime playground for content generated by large language models (LLMs).
According to Pangram’s study “AI in Your Feed,” which reviewed more than a million posts between late April and June 2026, more than 40% of long posts on the platform are entirely AI-generated.
That rate is the highest of all networks studied, roughly double the average seen elsewhere. Other studies corroborate this “AI Slop invasion” on Microsoft’s-owned professional network.
LinkedIn… in the realm of “AI Slop”
How does the new feature work? The option appears in the three-dot menu of every post. One click is enough to hide the post from the user’s feed, accompanied by a note of thanks indicating that this feedback helps improve the newsfeed.
The report does not trigger removal of the content or any visible penalty for its author. In LinkedIn’s vocabulary, a simple report is treated similarly to a “not interested” click that fuels the platform’s automatic detection models.
A further transparency boost: LinkedIn is now testing a private notification, visible only to the author in their analytics dashboard, when several members judge a publication to sound artificial or overly AI-assisted.
It was Hari Srinivasan, LinkedIn’s chief product officer, who announced the measure in a post on his account. The executive notes the scale of the problem: “AI slop is a top priority for all of us. We really care about this,” he writes, reminding that “people come to LinkedIn to connect with real people and share their genuine perspectives.”
He also justifies choosing human feedback over purely automated detection. According to him, the notion of “AI slop” remains difficult to pin down and constantly evolves, which makes user reports valuable for refining the models. He also stresses that AI usage isn’t inherently condemned since many users legitimately use it to refine their ideas. What LinkedIn wants to curb are content that “sound inauthentic.”
How the reporting works
The button is only the visible part of a broader system.
LinkedIn says it blocks hundreds of thousands of automated commenting attempts every day, and has thwarted billions of other automation attempts (mass postings, spam) in the past two months. The network also highlights new internal classifiers tasked with preemptively identifying content deemed “AI slop” or of low quality to limit its visibility in recommendations offered to users outside the author’s immediate network.
Another notable move: the disappearance of the “Enhance your post” feature, which until now offered to rewrite an entire draft using AI. It gives way to a more modest proofreading tool, limited to spelling and grammar corrections, with no rewriting or stylistic smoothing. At the same time, LinkedIn announces stronger verification tools for profiles and pages, along with a new option to block comments on undesirable company pages.
The limits of a still-young system
The system is not without its blind spots. LinkedIn provides no mechanism for an author to contest a report, opening the door to potential misuse or competitive attempts to game the button.
Moreover, the line between legitimate help to draft content and producing “AI slop” remains hard to draw, which could unfairly hinder authentic posts that merely resemble AI in style. Also, several months could pass before their effects fully register in users’ feeds.
This announcement comes as a new tranche of the AI Act goes into effect, including certain provisions related to labeling AI-generated content; although LinkedIn is not currently obliged to impose a universal label on its users’ posts.
For content creators, communicators, and experts who rely on LinkedIn as a showcase, the message from the platform is unequivocal: volume and regularity alone no longer guarantee visibility.
The algorithm now places greater emphasis on analyses rooted in real expertise, original angles, and a recognizable editorial voice, at the expense of polished texts lacking a distinct point of view. AI remains a tolerated assistive tool (for proofreading, structuring, summarizing) but using it as a full generator of posts now risks a sharp drop in organic reach.
