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LinkedIn Adds 'Seems Like AI Slop' Flag and Replaces Its AI Writing Tool With a Proofreader

The short answer

LinkedIn is introducing a crowdsourced reporting button that lets users flag posts as low-quality AI content, while simultaneously replacing its own AI post-generator with a proofreading-only tool — a direct signal about where the platform is drawing the line on AI-generated content. If your team has been generating LinkedIn posts from scratch with AI, those posts are now at risk of being publicly labeled by your own network.

  • LinkedIn
  • content marketing
  • AI content
  • social media
  • reputation

What happened

LinkedIn is rolling out a user-facing option to flag posts as content that 'seems like AI slop,' the platform's own term for low-quality, AI-generated posts. The feature is part of a broader effort to reduce AI-generated volume in professional feeds. At the same time, LinkedIn is replacing its AI writing assistant — which could generate post text from scratch — with a tool that proofreads and improves existing writing rather than producing it wholesale.

The two changes together signal a deliberate shift in platform policy. The flagging system is crowdsourced, meaning your audience — including clients, prospects, and professional contacts — can surface your posts for review. LinkedIn has not publicly specified what consequences flagged content faces, such as reduced distribution.

What it means for your business

If your team has been generating LinkedIn posts from scratch with AI, those posts are now at risk of being publicly labeled by your own network. The reputational cost of a 'AI slop' flag on a professional platform can outweigh any time saved. A practical adjustment: use AI for research, structure, and editing — which aligns with LinkedIn's own shift to a proofreading model — but write the first-person voice yourself. Specific numbers, named clients, and direct opinions are harder for readers to dismiss as generic output. Audit recent posts before the reporting feature reaches wide rollout.

Source: LinkedIn

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