LinkedIn is adding an "AI slop" flag that lets users report low-quality, AI-generated posts, using AI to detect AI in an attempt to keep the platform's feed from drowning in it.
The new option appears in the three-dot menu on every post. LinkedIn says it's targeting repetitive, low-value content, not AI use itself, and the company reports catching hundreds of thousands of automated comments daily while blocking billions of automation attempts. A recent study found LinkedIn accounted for the majority of flagged AI-written long-form posts across several major platforms, more than X, Reddit, Medium, or Substack combined.
On comments alone, every day we are now catching hundreds of thousands of automated comment attempts.
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The Feature Is Aimed at Slop. The Risk Is Aimed at Everyone
Using AI to catch AI sounds clean in theory. In practice, it means an algorithm is now making judgment calls about what counts as genuine versus generated, and that's a much blurrier line than it sounds. Not all AI-assisted content is slop, and not all bad content comes from AI.
The real risk isn't that LinkedIn cracks down on obvious spam, it's that legitimate, thoughtful posts get caught in the same dragnet because a detection model can't reliably tell the difference between AI-polished and AI-generated.
Your Content's Best Defense Is Actually Sounding Like a Human
This is worth paying attention to well beyond LinkedIn's own moderation policy. If your dealership's social presence, reviews responses, or email content leans heavily on AI-generated text without any real voice behind it, you're already the exact profile these detection systems are being built to flag, regardless of which platform you're on.
The stores that stand out right now aren't the ones avoiding AI entirely, they're the ones using it as a tool while making sure what actually gets published still sounds like a real person said it. That's not just a moderation dodge, it's the same thing that makes content worth reading in the first place.
What This Means for Your Store
Look at your last month of social posts, review responses, and customer emails and ask honestly whether they sound like your team or like a template. If AI is doing the first draft, someone still needs to be the one adding the specific, human detail that makes it unmistakably yours, not because a platform might flag it, but because that's the version customers actually respond to.
