LinkedIn is using its own AI systems to make generic, low-quality posts less likely to spread beyond their authors’ connections. CNN reports that the platform says views of content it classifies as AI slop have fallen 40%.
Watch Desk analysis
What happened
LinkedIn Editor-in-Chief Dan Roth told CNN that a team including former journalists and social media specialists helps train the company’s model to recognise posts it considers authentic and useful. Posts the model flags as low-quality AI-generated content may receive less distribution beyond the author’s direct connections.
The platform also introduced a button for users to flag posts that “seem like AI slop”. Roth said it was clicked more than a million times in its first two weeks. CNN reports the 40% decline in views as an early sign of progress, not a measure of whether the approach has improved the overall quality of LinkedIn’s feed.
Why it matters
This is a notable shift from simply giving people AI writing tools: LinkedIn is also using AI to decide how far some AI-assisted content travels. That could make a polished but generic post less useful to its author, while giving the platform another way to shape what users see.
The distinction is not “AI or no AI”. Roth told CNN that LinkedIn is not opposed to AI, but wants people to add their own perspective rather than publish untouched, formulaic copy. Easier said than done, perhaps, when the formula itself has become a business genre.
Our read
LinkedIn’s approach puts editorial judgement into the machinery of the feed. User reports and human specialists help define what the model should treat as worthwhile, while its distribution decisions can affect creators’ reach. The reported drop in views is an interesting early signal, but it does not tell us whether useful AI-assisted writing is being spared or whether the definition of “slop” will be clear to users.
What to watch
- Whether LinkedIn explains how users can challenge a post’s reduced distribution.
- Whether the platform shares more detail about how it measures AI slop and the reported fall in views.
- How its approach treats useful AI-assisted posts alongside generic, automated content.
Discussion spark: Should platforms use AI to limit the reach of low-quality AI-written posts, or does that give them too much power to decide what counts as worthwhile writing?
Sources and evidence
- Even LinkedIn is getting tired of your AI-written posts – CNN (18 October 2026, 10:30 UTC)
Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.