LinkedIn Launches "AI Slop" Reporting Button And Scraps AI Writing Tool in Major Platform Policy Reversal

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Microsoft-owned professional network LinkedIn is implementing new measures to combat low-quality, artificial intelligence-generated content on its platform. In a blog post published on July 31, 2026, Chief Product Officer Hari Srinivasan announced the introduction of a new “seems like AI slop” reporting button available in the ellipsis menu on all user posts. The feature will also be rolled out to comments across the platform. According to LinkedIn leadership, the reporting tool gives users a direct method to flag suspicious or inauthentic posts while simultaneously providing data to train the company's internal AI detection classifiers. Alongside the new reporting button, LinkedIn is removing its “enhance your post” feature, which previously utilized artificial intelligence to rewrite and tweak user wording. Company executives noted that the tool had inadvertently contributed to the proliferation of synthetic writing on feeds. It is being replaced by an AI-powered proofreading function designed to correct grammar and clarity while preserving an individual's natural voice. The platform stated that it is currently blocking hundreds of thousands of automated comment attempts daily, alongside billions of broader automation attempts over recent months. Under the updated system, content flagged repeatedly by users or identified by internal classifiers as overly automated will experience reduced algorithmic distribution outside of the creator's immediate network. Furthermore, creators whose posts are frequently flagged will receive private notifications on their dashboards. The policy shift marks a notable reversal for the professional networking site, which had previously promoted various artificial intelligence composition tools to boost user engagement. Industry competitors have similarly begun introducing countermeasures against synthetic text as user complaints regarding inauthentic content and low-effort posts increase across digital networks. Management emphasiz