LinkedIn is rolling out automated detection tools to flag low-quality AI-generated content—often called “AI slop”—while simultaneously removing features that previously encouraged automated writing, according to an announcement from the platform on July 31. The professional networking site, which boasts 310 million active monthly users, is shifting its focus away from generic automation to prioritize authentic human perspectives, ideas, and expertise.
LinkedIn Removes AI Writing Features for New Proofreading Tools
As part of this shift, LinkedIn has officially removed its “Write with AI” and “Enhance your post” features, which were previously offered as premium features. According to Hari Srinivasan, VP of product at LinkedIn, these tools are being replaced with proofreading features designed to support rather than replace human writing. Srinivasan stated in a platform update that users visit the network to connect with real people, noting that LinkedIn has already blocked billions of automated comments over the past few months.
To catch what it terms low-quality output, the platform is implementing a new classifier system. “This will reduce the amount of AI slop that maybe you see in recommended content as well as content from outside your network,” Srinivasan wrote.
Accuracy Rates and User Skepticism Over AI Slop Detection
Laura Lorenzetti, VP and executive editor at LinkedIn Global Editorial, reported in a company newsletter that early testing of the system demonstrated a 94% accuracy rate in recognizing generic content. Developed alongside the platform’s editorial team, the classifier targets not just individual posts, but specific automated behaviors. These include comments that show little to no human engagement and responses that merely parrot the original post without adding new insights.
Despite these high accuracy claims during testing, the update has triggered widespread debate among users. While some professionals praised the platform for finally tackling automated noise, others expressed skepticism regarding the inherent subjectivity of labeling content as “AI slop.”
One user voiced concerns about the dual nature of the update: “Proofreading and citation pull-back could be a great feature! Curious how the AI detection works, because it’s a double-edged sword when applied to user-uploaded content.” Another user noted the potential for unfair accusations, stating, “Now LinkedIn is just giving people a new tool to accuse others unfairly.”
Accessibility Concerns and the Distinction Between AI-Assisted and AI-Written Content
The crackdown has also raised accessibility concerns across the user base. Several professionals pointed out that assistive AI tools are crucial for individuals managing conditions like dyslexia, ADHD, afasia, or language barriers. For these users, AI acts as an aid to express their own original thoughts rather than a substitute for authentic thinking.
Erika Madriñan, co-founder and COO of Near Creative, addressed this nuance in her own post, distinguishing between content written entirely by artificial intelligence and content merely assisted by it. Drawing on her own experiences—such as moving abroad, navigating agency challenges, and developing productivity routines—Madriñan emphasized that the raw material of her posts always originates from her lived experiences.
Addressing the distinction between helpful assistance and generic automation, Srinivasan clarified that artificial intelligence and slop are not synonymous. “A lot of people smooth out their thinking with the help of AI, and we believe they want to know if their writing sounds inauthentic,” he stated, adding that final evaluations will rely on human feedback rather than automated detectors.
Did You Know? LinkedIn’s new moderation system tests private flags in creator analytics dashboards, allowing members to indicate when a post feels overly dependent on automation.
Frequently Asked Questions
What specific AI features did LinkedIn remove?
LinkedIn removed its “Write with AI” and “Enhance your post” features, replacing them with new proofreading tools.
How accurate is LinkedIn’s new AI slop classifier?
According to Laura Lorenzetti, VP and executive editor at LinkedIn Global Editorial, early testing showed the system achieved a 94% accuracy rate in identifying generic content.
Are all AI tools banned on LinkedIn now?
How does LinkedIn determine if a post is inauthentic?
The platform relies on a combination of new classifiers and human feedback rather than automated detectors alone, targeting behaviors like repetitive commenting and generic phrasing.
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