LinkedIn Targets AI-Generated Content to Improve Feed Quality

LinkedIn is intensifying its efforts to combat the proliferation of artificial intelligence-generated content on its professional networking platform. The company announced new measures designed to reduce the visibility of posts that exhibit characteristics of AI-generated drivel, a move long anticipated by its user base. Laura Lorenzetti, VP of Product at LinkedIn, detailed in a blog post that these changes will address various forms of low-quality content, including engagement bait, recycled "thought leadership," and other generic posts that fail to offer authentic or original perspectives.

The platform is specifically targeting content with discernible AI patterns, such as the common "it's not X, it's Y" phrasing. While LinkedIn has not disclosed the precise methods or algorithms used for detection, its engineering teams have reportedly collaborated with its internal editorial staff. This collaboration focused on identifying engagement patterns and distinguishing content that provides valuable perspective, context, or expertise from that which merely reiterates existing ideas. Posts identified as problematic will be deprioritized in users' recommendations, though they will remain visible to a user's direct connections and followers.

Rethinking AI's Role on the Network

This initiative by LinkedIn arrives as the company itself offers generative AI tools, including a prominent "rewrite with AI" feature within its post composer. This presents a delicate balance for the Microsoft-owned company, which emphasizes that "AI-assisted" content remains welcome, provided it incorporates original ideas or fosters meaningful discussions. The crackdown aims to differentiate between helpful AI augmentation and automated content that dilutes the platform's value.

The professional network, which already contended with significant self-promotion and spam even before the widespread adoption of generative AI, has been particularly affected by the surge in AI-generated posts. Earlier in 2026, users experienced weeks of content dominated by debates over the use of em dashes, which some users identified as a marker of AI-written posts. This phenomenon, termed "em dash discourse" by some observers, escalated into extensive, often tedious, discussions about the punctuation mark's perceived significance and connection to AI writing. Large language models, trained on vast datasets of human-created text, have inadvertently replicated such stylistic quirks.

The increasing volume of AI-generated content has led to a parallel rise in posts from users lamenting the degraded quality of their LinkedIn feeds. LinkedIn reports that initial results from its new content moderation efforts are "encouraging," with further reductions in AI-generated content anticipated in the coming weeks and months. The company's strategy reflects a broader trend among social media and professional networking platforms grappling with the challenge of maintaining content integrity in the age of advanced AI.