LinkedIn is fighting back against the flood of low-quality AI posts clogging its feed with a new “seems like AI slop” button. Users can now flag machine-written content, which hides it from their feed and privately nudges the poster. The blunt wording stands out, and so does the irony: LinkedIn has become the internet’s poster child for AI slop.

Key Takeaways

• LinkedIn added a “seems like AI slop” report button
• Flagging a post hides it and privately notifies the poster
• The reports train LinkedIn’s own AI-detection models
• One detection service estimates 41% of long posts are AI
• LinkedIn is also replacing its AI writing tool with a proofreader

What LinkedIn Announced

The tool targets a well-known problem. On Thursday, LinkedIn announced it’s adding a feature that lets users click a seems like AI slop button when a post appears to have been written with AI, taking aim at the low-quality, artificially generated content filling its feed.

The company owned the problem publicly. Chief product officer Hari Srinivasan admitted the Microsoft-owned network faces the same slop issues as the rest of the web, saying people come to LinkedIn to connect with real people and share real perspectives, and that AI slop is a top priority.

It’s a notably direct label. The button sits under the three-dot menu on any post and uses the blunt internet slang “slop” rather than something softer like “this looks AI-generated,” now baked into the interface of a major professional platform.

How It Works

The mechanics are simple. When a user clicks the button, the flagged post disappears from their feed, and LinkedIn responds with a thank-you note saying the feedback helps improve the feed.

The poster gets private feedback. LinkedIn also notifies the sharer through their analytics dashboard that their content may have come across as inauthentic, with Srinivasan framing the goal as giving creators feedback from real humans rather than relying solely on automated detectors.

The reports do double duty. Every flag feeds into LinkedIn’s internal models, helping the company better identify and reduce AI slop in recommendations and suggested content, turning detection into a crowd-sourced signal.

The Scale of the Problem

LinkedIn has become slop’s punching bag. One detection service estimates that 41% of long-form LinkedIn posts are likely AI-generated, and other analyses have found nearly two-thirds of all AI-generated long-form social posts appear on LinkedIn specifically.

The style is instantly recognizable. Observers describe the telltale signs, the spacing, emojis, bullet-point takeaways, and “X is not Y” phrasing, with one report noting it took about six seconds of scrolling to find a candidate post.

This builds on an earlier crackdown. In May, LinkedIn said it would reduce the reach of content that appears AI-generated and lacks clear perspective, and the new button complements those automated tools with human reporting.

The Awkward Irony

There’s an obvious contradiction. LinkedIn is simultaneously encouraging users to generate AI content through its own writing tools, even as it asks them to report AI slop, a tension critics were quick to point out.

The company is addressing that too. Alongside the button, LinkedIn is retiring its “Enhance with AI” writing feature and replacing it with a lighter proofreading tool meant to keep a user’s own voice intact rather than generate posts wholesale.

Detection itself is imperfect. AI detectors produce false positives, and studies suggest humans identify AI-generated content at little better than a coin toss, so crowd-sourced flagging is a blunt instrument rather than a precise fix.

Why It Matters

LinkedIn is part of a broader backlash. Its move reflects a wider shift across publishing platforms, from Substack adding AI-identification tools to Cloudflare warning that bot traffic now exceeds human requests, as people grow frustrated with inauthentic, machine-written content.

It makes LinkedIn one of the first big platforms to hand users this power. Giving people a direct button to push back against AI content is a notable step, betting that human judgment at scale can help where automated detection falls short.

The deeper question is whether it works. With slop this pervasive and detection this unreliable, a report button may curb the worst offenders without solving the underlying flood. But by naming the problem “slop” right in its interface, LinkedIn has at least publicly acknowledged how bad things have gotten.

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