LinkedIn Is Fighting Back Against AI Slop
Noticed more AI-generated guff showing up on LinkedIn lately? You’re not alone – LinkedIn has as well and is now rolling out new technology to tackle low-quality content before it takes over everyone’s feed.
“Content creation on the platform is up 14% year over year,” says Laura Lorenzetti, LinkedIn’s VP and Executive Editor. That’s not surprising as AI has made it easier than ever for people to create content but that also means it’s made it easier to create a lot of content that says very little.
AI has become a normal part of many peoples’ life, helping turn ideas into posts and speeding up content creation. The challenge is separating useful insights from what many people simply call “AI slop” – content with plenty of words but very little substance.
All those posts with a bland stock image, an inspirational quote, and some painfully generic advice that somehow says everything and nothing at the same time – pointless and valueless.
These types of posts frustrate LinkedIn itself because they work against what the platform values most: professionals sharing genuine insights and expertise.
“The feed is more competitive,” a LinkedIn executive explains. “Content creation is up, and the timing clearly aligns with the rise of AI.”
So how does LinkedIn tackle this at scale? By using AI against AI!
It has developed systems designed to identify the difference between original thinking and content that simply repackages ideas without adding anything new. Working closely with editorial teams, LinkedIn’s technology learns which posts provide context, perspective and expertise and which ones merely rearrange buzzwords.
Behind the scenes, human editors review and label thousands of posts as either high or low quality. Those examples then train machine learning models to recognise similar patterns across the platform.
The irony of AI being asked to clean up the mess created by AI. I’d like to think somewhere, an algorithm is muttering “I didn’t sign up for this.”
The rollout will happen gradually over the coming months as LinkedIn continues refining its systems and adapting to new ways people try to game the algorithm.
And LinkedIn knows this isn’t a one-time battle because as fast as technology evolves, there will always be someone somewhere trying to turn “10 productivity hacks” into a 12-minute video with a bland image, dramatic music, and subtitles.
27 July 2026
