More Than 1 Million People Have Clicked LinkedIn’s AI Slop Button

Introduction

LinkedIn is turning complaints about excessive AI-generated writing into a measurable moderation problem. Hari Srinivasan, the company’s chief product officer, said that more than one million people have clicked LinkedIn’s “Seems like AI slop” option since it was introduced on July 30. The control appears in the three-dot menu attached to a post, giving users a direct way to flag writing that appears to involve too little human input.

Key points

• The feedback option lets members report suspected AI slop without leaving a public comment.
• LinkedIn introduced what it calls new and improved classifiers to identify posts that may be generated by AI.
• The company says posts classified as AI slop are now receiving 40% fewer views than they did a few weeks ago. That suggests the recommendation system may be reducing their distribution, although the source does not establish that the button itself caused the change.
• LinkedIn removed its “enhance your post” AI feature and is adding a notice for authors: “Some members told us this post seems like AI.”
• The company had also said earlier this year that it would crack down on comments produced at scale with little or no human involvement.

Why it matters

AI-generated filler is a particular problem on a professional network. LinkedIn posts often function as résumés, expertise signals, and networking tools. If feeds fill with generic summaries, recycled advice, or automated engagement, users lose more than reading quality: they also lose confidence that a post reflects the author’s own experience.

The one-million-click figure shows that members are willing to participate in content governance. It does not, however, reveal how many reports were accurate, how many posts were reviewed, or how often the system made mistakes. AI detectors can misclassify human writing, especially when the prose is highly formulaic, business-oriented, or written by a non-native speaker. LinkedIn therefore has to distinguish between responsible AI assistance and posts that are almost entirely automated.

The author-facing notice is a softer intervention than silently reducing reach. It could encourage people to add concrete details, personal experience, and a clearer point of view. At the same time, it may create uncertainty if LinkedIn does not explain how member feedback affects distribution or whether authors can correct and appeal a classification.

The larger test is not whether LinkedIn can add an AI-slop button. It is whether the company can build a transparent standard for content quality without treating every use of generative tools as a violation. A professional network needs efficient publishing, but it also depends on credibility. LinkedIn’s next challenge will be balancing those goals while showing users how its classifiers and recommendation systems actually work.

Source: The Verge AI