LinkedIn's war on AI slop is not just a policy update—it is an admission that the platform lost control of its feed

Linkedin is ramping up its fight against waves of AI-generated content on the platform. New detection systems aim to throttle low-quality posts, while a verification filter should make bots and fake profiles easier to spot.

The business world's Facebook is tackling a growing problem: more and more posts and comments on the platform are apparently being cranked out by AI with zero real value. Linkedin uses the now common term "AI slop:" content that looks polished on the surface but says nothing.

"When AI is overused, especially at scale and in an automated way, it dilutes the valuable insights that real human conversations can spark," writes Laura Lorenzetti, Vice President and Executive Editor at Linkedin Global Editorial, in a blog post.

AI as a writing aid is fine, she adds. But posts and comments need to sound like the person behind them. "Your posts and comments need to represent your voice and your perspectives," Lorenzetti says.

That this comes from Microsoft, of all companies, is pretty ironic. Linkedin's algorithm—like every social media algorithm—already tends to reward gimmicky, overly personal posts over stuff with actual substance.

But the irony cuts deeper. Microsoft itself has been actively pushing AI use on Linkedin. Just days ago, the company rolled out a new Copilot feature in the browser that promotes AI-assisted writing on the web. The demo platform? Linkedin, complete with a maximally generic post.

New detection systems take aim at empty content

LinkedIn is betting on new technical systems trained with its in-house editorial team, Lorenzetti says. They pick up on what "appears to be generated by AI and lacks clear perspective" and should get better over time. The goal: tell apart articles that bring context, expertise, or a fresh take from those that read as generic or repetitive.

Posts aren't the only target. The measures also go after comments pumped out in bulk by automation tools with little or no human input, and replies that just parrot the original post without adding anything.

Content flagged as AI-generated and thin on opinion will get less reach. Instead of landing in other users' feeds, it'll mostly stay within the author's own network.

Early numbers look good from LinkedIn's side: in initial tests, the company says it correctly tagged generic content 94 percent of the time. Users already report seeing fewer junk posts. LinkedIn expects that to hold.

Still, the company hasn't shared any data that can be independently verified. How often legitimate posts get wrongly flagged as "AI slop" is anyone's guess.

Beyond content filtering, LinkedIn is also going after fake profiles. Bots and AI-generated fake accounts kill genuine engagement, Lorenzetti says. To help, LinkedIn is leaning on its verification system, claiming that over 100 million members are now verified.