GoKawiilKey Takeaways The tech company says it doesn’t want to punish users for using AI tools — only for posting low-value content that lacks original insight, expertise, or perspective.
The platform is using “AI solving AI” systems to detect generic posts, bot comments, and engagement bait.
Posts flagged as low-quality likely won’t be removed, but the platform may suppress their distribution so they don’t spread far beyond a user’s immediate network.
Have you seen a lot of AI slop on LinkedIn lately?
LinkedIn sees it too. Now the company is taking steps to solve the problem, unleashing new technology to eliminate low-quality AI content from users’ feeds.
“Content creation on the platform is up 14% year over year,” says Laura Lorenzetti, VP and Executive Editor of LinkedIn. “That makes sense, right? AI can really help people unlock content creation. But it also means that a lot of people can produce a lot of very low-quality content.”
That contrast creates a challenge for LinkedIn: Many professionals use AI in their daily workflows, including helping to turn their ideas into LinkedIn posts. So LinkedIn needed a way to differentiate the two — squashing AI-generated content that lacks original thought, while allowing higher value content to thrive even if its creator used AI.
To do this, LinkedIn is targeting three core areas:
Generic AI-written posts and comments Automation tools used to create AI content Attention-bait videos
Its first efforts are starting to roll out now. Here’s how LinkedIn is attacking all three AI problems.
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