TL;DR
LinkedIn is cracking down on AI-generated “slop” by suppressing generic posts from recommendations rather than removing them. The platform claims 94 per cent detection accuracy in early tests, but has shared no data on false positives.
If your LinkedIn feed has felt like it was written by one person with 10 million accounts, you are not imagining things. The platform has become a petri dish for AI-generated posts that say nothing while sounding vaguely inspirational. Now LinkedIn says it is doing something about it.
The company announced changes that will target what it calls “AI slop,” low-effort, AI-generated content that may sound polished but offers little original thought or expertise. VP of Product Laura Lorenzetti said the platform is building detection systems trained to distinguish between posts that add genuine perspective and posts that feel repetitive, generic, and empty.
In early tests, LinkedIn says its system correctly flagged generic content 94 per cent of the time. Flagged posts will not be removed. Instead, they will be suppressed from recommendations, meaning they will still be visible to a poster's direct connections but will no longer spread across the wider feed.
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The targets are specific. LinkedIn is going after outright engagement bait, recycled “thought leadership” that lacks originality, and posts with obvious AI construction patterns. The company singled out the “it's not X, it's Y” format as one example of the kind of formulaic AI content it plans to demote.
The crackdown extends to comments too. LinkedIn will target bot-generated and generic AI comments that add nothing to a conversation, the kind that read like a ChatGPT summary of the post they are replying to. The platform is also going after automation tools that generate AI content at scale.
There is, however, a deliberate line being drawn. LinkedIn says AI-assisted content is still welcome, provided it contains original ideas or encourages meaningful conversation. The message is not “stop using AI.” It is “stop letting AI do all the thinking for you.”
That distinction will be difficult to enforce consistently. LinkedIn's 94 per cent accuracy claim sounds impressive, but the company has not shared data on false positives. How often legitimate posts get wrongly flagged as slop is anyone's guess. And the platform has not said how quickly the rollout will happen, noting only that it could take several months before users see less low-quality AI material in their feeds.
The move comes as AI-generated content detection is becoming a priority across the tech industry. OpenAI recently adopted C2PA metadata and SynthID watermarks for its image outputs. ByteDance added watermarking and IP guardrails to Seedance 2.0. But text is far harder to fingerprint than images, and LinkedIn's approach, using behavioural signals and stylistic patterns rather than watermarks, is inherently fuzzier.
The irony is hard to miss. LinkedIn is a Microsoft property, and Microsoft is one of the largest investors in OpenAI, the company whose tools produce much of the content LinkedIn now wants to suppress. The platform also offers its own AI writing assistant, which auto-generates post drafts and comment suggestions. It is, in effect, building the firehose and the filter at the same time.
Still, AI-powered content moderation has to start somewhere. LinkedIn's feed problem is real and getting worse. If suppression works, other platforms will follow. If it does not, the company will have publicly admitted that its feed was broken by AI without managing to fix it.