LinkedIn's 'Seems like AI slop' button passes one million clicks

More than a million LinkedIn members have used the platform's new "Seems like AI slop" button, according to a post from chief product officer Hari Srinivasan, as reported by The Verge.

The control, which LinkedIn announced on July 30th, lives in the three-dot menu attached to each post and lets any reader flag content they suspect was machine-generated filler. In a follow-up post on Thursday, Srinivasan revealed that the button has now been clicked "over a million" times.

Falling reach for flagged content

Beyond the raw usage figure, LinkedIn claims its broader crackdown is having an effect. According to The Verge, Srinivasan wrote that users are overall seeing 40% fewer views of posts the platform's own classifiers identify as AI slop, compared with just a few weeks earlier.

The button did not ship alone. Alongside it, LinkedIn rolled out what it called "new and improved" classifiers for detecting AI-generated posts, and retired a feature that let users "enhance" their posts with AI — a tool that arguably fed the very problem the platform is now fighting. Srinivasan said at the time that "AI slop is a top priority for all of us."

A feedback loop for posters

LinkedIn is also closing the loop with authors. The Verge reports that the platform will now show people who publish a post a notice stating that "Some members told us this post seems like AI." Srinivasan framed the feature as constructive rather than punitive, saying the company approached it "assuming good intent" and wanted to offer helpful feedback — adding that he has personally become more conscious of how not to sound like AI.

The move follows an earlier step: earlier this year, LinkedIn said it would crack down on comments produced at scale "with little or no human involvement," according to The Verge.

A measure of the problem

The timing of the button is telling. Weeks before its announcement, AI-detection firm Pangram estimated that 41% of LinkedIn's longform posts were fully AI-generated, a finding reported by 404 Media and cited by The Verge. Against that backdrop, a million clicks on a reporting button reads less like a curiosity and more like a rough gauge of how much low-effort machine content members are actually encountering — and how willing they are to push back.

Why it matters

The one-million milestone is one of the clearest quantitative signals yet of user backlash against generative AI content on a major platform. LinkedIn built AI writing assistance into its own product, watched detection firms measure the resulting flood, and is now enlisting users to help clean it up — a full-circle moment for a company managing AI's downsides after promoting its upsides.

The 40% figure deserves some caution: it is self-reported, based on LinkedIn's own classifiers, and measured over a short window, so it may reflect reduced distribution of flagged content rather than less of it being created. Even so, if user reports combined with automated classification can meaningfully suppress the reach of AI slop, other social platforms facing the same flood have a template to copy. The open question is whether feedback notices actually change how people write — or simply push AI-assisted posting toward styles that detectors and readers no longer recognise.