LinkedIn is tightening its approach to low-quality AI-generated content as the professional networking platform attempts to clean up increasingly repetitive and engagement-focused posts appearing across user feeds.

The Microsoft-owned company says it is adjusting its recommendation systems to reduce the visibility of content that appears formulaic, overly generic or designed primarily to attract clicks and reactions without offering meaningful insight.

According to LinkedIn vice-president of product Laura Lorenzetti, the changes target a wide range of content styles including recycled motivational posts, shallow “thought leadership” material and obvious engagement bait that lacks originality or authentic expertise.

The platform is also reportedly focusing on posts and comments containing writing patterns commonly associated with AI-generated text. One example highlighted by the company includes the increasingly familiar “it’s not X, it’s Y” construction that has become widespread across social media platforms using generative AI tools.

LinkedIn has not provided detailed information about how it identifies this type of content, although the company says its engineering teams worked alongside editorial staff to study how users interact with posts that demonstrate genuine perspective, context or professional knowledge compared with content that simply rephrases existing ideas.

Under the updated system, flagged posts will no longer be widely promoted through recommendations, although they will still remain visible to direct followers and existing connections.

The move reflects growing pressure on social platforms to address the flood of AI-generated material that has increasingly dominated feeds since the rapid rise of generative AI tools over the past two years.

LinkedIn faces a particularly difficult balancing act because the company actively promotes its own AI-powered writing features. The platform currently offers several built-in generative AI tools, including options that allow users to rewrite or enhance posts automatically.

Despite the crackdown, LinkedIn says content created with AI assistance will still be permitted provided it contains original thinking or encourages meaningful discussion.

The platform has become one of the most visible examples of how generative AI is reshaping online communication, particularly in professional and corporate spaces where users increasingly rely on automated writing tools to produce posts, networking updates and commentary.

Even before the AI boom, LinkedIn had already developed a reputation for self-promotional content and formulaic motivational posts. The rise of generative AI has accelerated those trends, with many users complaining that feeds are becoming saturated with repetitive and impersonal material.

Earlier this year, LinkedIn users became caught up in widespread debates over whether certain punctuation styles, particularly the use of em dashes, could indicate AI-generated writing. The discussion quickly spread across the platform and became one of several examples of growing frustration around AI-created content.

LinkedIn says early results from the updated moderation and recommendation changes have been positive, with the company expecting further reductions in low-quality AI content over coming months.