Over 1 Million Users Click LinkedIn's AI Slop Button

LinkedIn's effort to clean up its feed is showing rapid adoption, with more than one million people clicking the platform's new "Seems like AI slop" button since its launch on July 30th. According to an update from LinkedIn Chief Product Officer Hari Srinivasan, the user-driven reporting tool, which is nested inside the three-dots menu on individual posts, has quickly become a primary weapon against low-effort automated content.

The introduction of the reporting feature followed a report by 404 Media highlighting data from AI detector Pangram, which revealed that 41 percent of LinkedIn's longform posts were flagged as entirely AI-generated. In response, LinkedIn deployed "new and improved" classifiers to automatically detect synthetic text and retired its native "enhance your post" AI writing feature. Srinivasan noted that these combined efforts have already yielded results, with users now experiencing "40% less views on what we classify as AI slop" compared to just a few weeks prior.

To further discourage automated spam, LinkedIn is rolling out a direct warning message to creators whose content is flagged. If a post receives multiple reports, the author will be notified with a prompt stating that some members felt the post seemed like AI. Srinivasan explained that the company is approaching this with an assumption of good intent, aiming to help users understand how to avoid sounding overly robotic. The professional network is also actively cracking down on automated comments generated at scale with minimal human oversight.

For digital marketers and professional content creators, these changes signal a sharp shift in how the platform's algorithm distributes content. Relying on generative AI to draft generic, high-volume posts is no longer a viable strategy for organic reach. To maintain visibility, practitioners must prioritize authentic, human-written insights, as the combination of community flagging and stricter algorithmic classifiers will rapidly suppress the distribution of suspected synthetic text.