LinkedIn fights 'AI slop' with new reporting tool and restricted AI writing
The professional network is pivoting toward authenticity by allowing users to flag machine-generated content and retiring its AI rewriting tool.
LinkedIn launched a new reporting feature on July 30, 2026, to combat the rise of low-quality, machine-generated content. The platform now allows users to flag posts and comments as "AI slop" via the ellipsis menu, signaling a strategic shift toward prioritizing human authenticity over automated output.
In a simultaneous move to curb the production of synthetic content, LinkedIn is retiring its "Enhance your post" AI rewriting tool. This LLM-based feature, which previously restructured user text, is being replaced by a streamlined proofreading tool. According to the company, the new tool is designed to correct grammar and spelling while strictly preserving the original voice of the writer. LinkedIn Chief Product Officer Hari Srinivasan emphasized the urgency of the shift, stating that "AI slop is a top priority for all of us," noting that users visit the platform to connect with real people and genuine expertise.
The rise of 'thinkfluencing'
The crackdown follows alarming data from AI-detection firm Pangram regarding the saturation of the platform. Between April and June 2026, Pangram found that approximately 41% of long-form posts and 30% of comments on LinkedIn were entirely AI-generated. This trend has been most visible in the realm of "thinkfluencing," where users leverage generative AI to mimic professional authority and thought leadership without providing original insight. The scale of the problem extends beyond visible posts; LinkedIn reports that it currently blocks hundreds of thousands of automated comment attempts every day.
Protecting professional trust
As a network built on professional reputation, LinkedIn's primary value is derived from trust and verified expertise. The proliferation of "AI slop" threatens to degrade this utility by crowding out human perspectives with generic, machine-made filler. By crowdsourcing the detection of inauthentic content and walking back its own generative writing tools, the company is attempting to pivot away from the generative AI bubble to protect the core user experience from devaluation.
The path forward
While the reporting button provides a mechanism for user feedback, it remains to be seen how LinkedIn will handle the volume of flags or what specific penalties will be applied to repeat offenders. The industry will be watching to see if these friction points—reducing AI assistance and increasing reporting—are enough to reverse the trend of synthetic content or if the platform will need to implement more aggressive algorithmic filtering to maintain its professional integrity.