# Over one million people have clicked LinkedIn’s AI slop button

> Source: <https://www.theverge.com/ai-artificial-intelligence/983502/linkedin-ai-slop-button-one-million-people-message>
> Published: 2026-08-21 21:25:50+00:00

LinkedIn actually announced a “Seems like AI slop” button on July 30th, and the company says that a lot of people have already used it. According to a Thursday post from [chief product officer Hari Srinivasan](https://www.linkedin.com/feed/update/urn:li:activity:7495960472341409792/), “over a million people” have clicked on the button, which is accessible from the three dots menu on a post.

# Over one million people have clicked LinkedIn’s AI slop button

LinkedIn’s new AI slop button is apparently getting a lot of use.

LinkedIn’s new AI slop button is apparently getting a lot of use.

LinkedIn announced the button a few weeks after AI detector Pangram [determined that](https://www.pangram.com/blog/ai-in-your-feed?ref=404media.co) 41 percent of LinkedIn’s longform posts were flagged as fully AI generated, [which 404 Media reported on](https://www.404media.co/linkedin-and-x-are-flooded-with-ai-spam-browsing-data-suggests/). Alongside the AI slop button, LinkedIn introduced “new and improved” classifiers to identify posts as AI and removed a feature that would “enhance your post” with AI.

“AI slop is a top priority for all of us,” Srinivasan said at the time, and it sounds as if the platform’s changes may be making a difference. In Thursday’s post, Srinivasan said that users are overall “now experiencing 40% less views on what we classify as AI slop from just a few weeks ago.”

LinkedIn is also adding a new message that will tell users who make a post if “Some members told us this post seems like AI.”

“We approached this assuming good intent; I know I’m increasingly conscious on how to not sound like AI & the goal is to provide helpful feedback,” Srinivasan said.

Earlier this year, LinkedIn also said it would be [cracking down](/tech/931667/linkedin-is-cracking-down-on-spammy-ai-generated-comments) on comments users create at scale “with little or no human involvement.”

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