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LinkedIn's 'AI Slop' Button Has Been Clicked Over 1 Million Times — Here's What It Means for Your Job Search

LinkedIn users have clicked a button to flag "AI slop" more than 1 million times since the company introduced it, and the platform says posts tagged that way are already losing reach. Chief Product Officer Hari Srinivasan told reporters that members are now seeing 40% fewer views on posts LinkedIn classifies as AI slop compared with just a few weeks earlier, according to Engadget.

LinkedIn rolled out the "seems like AI slop" reporting option on July 30, letting users flag posts they believe were machine-written, TechCrunch reported. TechCrunch describes those reports as a signal LinkedIn feeds into its models to tune down slop visibility in out-of-network recommendations, not just a personal feed filter. LinkedIn is also pairing the reports with new backend classifiers designed to identify AI-generated content in suggested posts, and it's now notifying users when their own posts get flagged, visible in the post analytics section.

The company also killed its "enhance your post" feature, the built-in AI writing assistant it had promoted, replacing it with a plainer proofreading tool, per TechCrunch. Srinivasan called AI slop "a top priority for all of us," saying people come to LinkedIn to connect with real people. LinkedIn also said it now blocks hundreds of thousands of automated comment attempts daily and has stopped millions of other automation attempts in recent months.

The scale of the problem is part of what pushed LinkedIn to act. A study from AI-detection company Pangram estimated that more than 40% of longform posts on the platform were likely written by AI, according to Engadget's reporting.

What this means for job seekers

If you've been leaning on AI to draft your LinkedIn headline, About section, connection requests, or recruiter outreach messages, this is a signal worth taking seriously — not because AI tools are banned, but because the platform's own users and algorithm are now actively working to identify and bury content that reads as generic AI output.

A few practical takeaways. First, AI-polished profile copy that sounds like everyone else's AI-polished profile copy is now a liability, not an asset — recruiters and connections can flag it, and LinkedIn's classifiers are being built specifically to catch it. Second, outreach messages to hiring managers or recruiters that read as templated AI output are more likely to get ignored or reported, at a moment when a real, specific message stands out more than ever. Third, this is a good prompt to audit your own LinkedIn presence: if you used an AI tool to write your summary or recent posts, go back and add specifics only you would know — actual project details, real numbers, your own voice — rather than leaving generic AI phrasing in place.

None of this means avoid AI tools when job hunting. Using AI to organize your thoughts, tighten a draft, or brainstorm talking points before an interview is still useful. The shift is that LinkedIn, and the people you're trying to reach on it, are now actively rewarding content that sounds like it came from an actual person with actual experience — which is exactly the impression job seekers need to make anyway.