LinkedIn adds an AI slop report button and starts burying low-quality posts

LinkedIn now has an official button for what everyone was already thinking.

On July 30, 2026, LinkedIn rolled out a “seems like AI slop” report option. Flag a post, and the signal feeds LinkedIn’s classifiers, teaching the feed to bury similar low-quality AI content across the network.

More than a button

The report option is the visible piece of a broader cleanup. According to the company, LinkedIn is also:

• Blocking hundreds of thousands of automated comment attempts daily
• Privately warning users when their content looks heavily AI-written
• Retiring its own “enhance your post” AI writing feature in favor of a proofreading tool that keeps your voice

That last item is the most telling. LinkedIn built the feature that helped fill its feed with generic AI text, and it is now walking that feature back in favor of tooling that preserves how people actually write.

The numbers behind the reversal

The irony writes itself: the platform that pushed AI writing into every text box is now crowdsourcing the cleanup. But there is a concrete reason for the urgency.

In July, AI detector Pangram found that over 40% of long LinkedIn posts were fully AI-written, the highest share of any major platform. Chief Product Officer Hari Srinivasan now calls AI slop “a top priority for all of us”.

When four in ten long posts are machine-generated, the feed’s core promise, professional insight from actual professionals, starts to erode. Ad inventory sits on attention, and attention leaves when every post reads like the same template.

Crowdsourcing taste

The interesting bet is using humans as the detector. Automated AI-text classifiers are famously unreliable, so LinkedIn is effectively asking its users to label the training data: you know slop when you see it, and every flag teaches the feed what to demote.

Whether people actually press the button, or just keep scrolling past the slop the way they always have, will decide if this works. The next viral “thought leadership” post in your feed is now, among other things, a labeling exercise.