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LinkedIn Now Lets You Report Posts That Look Like They Were Written by AI

Martin HollowayPublished 15h ago4 min readBased on 3 sources
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LinkedIn Now Lets You Report Posts That Look Like They Were Written by AI

LinkedIn announced a set of new tools on July 30, 2026 to fight low-quality, AI-generated posts on its platform. The main feature is a report button, labeled "seems like AI slop," that appears in the three-dots menu on individual posts. When you click it, LinkedIn hides that post from your feed and thanks you for the feedback (The Verge).

"AI slop" refers to posts, comments, or articles created by AI tools that flood social platforms with generic, low-effort content. LinkedIn Chief Product Officer Hari Srinivasan announced the changes on LinkedIn itself. "AI slop is a top priority for all of us. We really care about this," Srinivasan wrote. "People come to LinkedIn to connect with real people and share their real perspectives, ideas, and expertise" (TechCrunch).

The problem is large enough to measure. According to AI detection company Pangram, 41 percent of longform LinkedIn posts were flagged as completely AI-generated (The Verge). LinkedIn's own data backs up the concern: the platform blocks hundreds of thousands of automated comment attempts every day as of July 2026, and blocked millions of automation attempts in the months before the announcement (TechCrunch).

The report button does two things at once. It removes the post from your personal feed, and it also sends information back to LinkedIn's computer systems. Those systems use the report as an example to help them get better at automatically spotting AI-generated content (The Verge). LinkedIn is also adding new software designed to identify AI slop and reduce how often it shows up in suggested posts from outside your network (TechCrunch).

LinkedIn is also turning the mirror on creators. The platform will start privately showing users a notice in their own dashboards when their content seems inauthentic because of heavy AI use (TechCrunch). Think of it like the quality scores that advertising platforms have long given to advertisers, except here the feedback goes to the person writing the post.

In a notable reversal, LinkedIn is also shutting down its own "enhance your post" feature, which used AI to rewrite users' posts and likely contributed to the slop problem. Its replacement is a simpler tool that proofreads your words without changing your voice (TechCrunch). The difference is straightforward: the old feature rewrote posts for you, while the new one only fixes spelling and grammar.

Other new measures include wider access to profile and page verification tools, and a new option to block comments from company pages you no longer want to hear from (TechCrunch).

The broader context here is that this is the clearest acknowledgment yet from a major professional network that AI-generated content has gone from a novelty to a real problem on its platform. When roughly two in five longform posts may be written by a machine, the whole point of a professional network built on authentic expertise is undermined.

The decision to retire "enhance your post" may be the most important part of the announcement, even though it got the least attention. A platform that hands users an AI-writing tool and then builds systems to fight AI-generated content is working against itself. By replacing the rewriting feature with a proofreading-only tool, LinkedIn removes one source of the problem it is now spending effort to fix.

The dashboard flagging feature raises questions LinkedIn has not yet answered publicly. How much AI-assisted writing does it take to trigger the flag? Does the flag affect how many people see your post, or is it just a quiet nudge? These details will determine whether the measure works as gentle encouragement or as a hidden penalty that changes how people post.

For now, LinkedIn has given users the tools and the signals. How well they work depends on how accurately the detection software can tell the difference between human and AI writing, a problem nobody in the industry has fully solved. But by combining user reports, automated filtering, and feedback to creators, LinkedIn has built more intervention points than most social networks have committed to.