LinkedIn has introduced a new feature that allows users to report posts they believe are "AI slop"—low-quality, repetitive, or generic AI-generated content that adds little value to professional discussions. The new "Seems like AI slop" option appears in the reporting menu for posts and comments, giving users a direct way to flag content they consider inauthentic or overly AI-generated. The move reflects LinkedIn's growing concern that an increasing amount of AI-assisted "thought leadership" is reducing the quality and credibility of conversations on the platform.
The reporting button is only one part of LinkedIn's broader strategy to improve content quality. The company says it is deploying new AI classifiers to detect low-quality posts, blocking hundreds of thousands of automated spam comments every day, and reducing the visibility of content identified as AI slop outside a user's immediate network. LinkedIn is also testing a private feedback feature that lets creators know when readers perceive their posts as overly AI-generated or inauthentic, helping them improve without publicly penalizing them.
Interestingly, LinkedIn is not discouraging AI use altogether. Executives emphasize that AI remains a valuable tool for proofreading, improving clarity, and refining language. In fact, the company is replacing its former "Enhance your post" feature—which rewrote users' content—with a lighter proofreading tool that preserves the author's original voice. LinkedIn's message is that the problem is not AI itself, but content that is mass-produced, lacks unique insight, or sounds generic and formulaic.
The broader takeaway is that LinkedIn is shifting its focus from promoting AI-generated writing to promoting authentic human expertise. As generative AI becomes deeply embedded in professional communication, platforms are increasingly prioritizing originality, credibility, and meaningful contributions over polished but repetitive AI-produced content. LinkedIn's new reporting tool signals a broader industry trend: success on professional networks will depend less on using AI to generate more content and more on using it to support genuine ideas, personal experience, and authentic professional perspectives.
