"Seems like AI slop": A new way to report machine-generated posts in LinkedIn

If you have scrolled through LinkedIn recently, you have likely noticed a frustrating trend: an avalanche of robotic, overly enthusiastic, and hollow posts that sound remarkably similar. The professional networking platform has been overwhelmed by what internet culture has accurately dubbed "AI slop"—mass-produced, machine-generated content designed solely to game the algorithm and farm engagement without providing any genuine human value.

Now, LinkedIn is finally fighting back. The Microsoft-owned job platform has quietly begun rolling out a new mechanism that allows users to directly report posts they suspect are entirely generated by artificial intelligence. By giving the community a voice in content moderation, LinkedIn hopes to clean up its feed and return to its roots as a platform for authentic professional networking and insightful career discussions.

The Rise of 'Broetry' and AI Automation

For years, LinkedIn has struggled with low-effort engagement bait. The infamous "broetry"—those overly long, double-spaced posts that tell fabricated stories of corporate triumph—were annoying, but they at least required a human to type them out. The introduction of accessible Generative AI tools like ChatGPT changed the landscape entirely.

Suddenly, "thought leaders" and marketers didn't need to write at all. They could use automated tools to scrape trending topics, generate a generic 500-word essay packed with buzzwords like "synergy," "paradigm shift," and "transformative leadership," and schedule it to post automatically. The result was a dramatic decrease in the signal-to-noise ratio. Feeds became clogged with posts that looked professional at a glance but contained absolutely no substance or original thought.

How the New Reporting Feature Works

Recognizing the growing frustration among its user base, LinkedIn is testing a targeted reporting category. When users click the three dots in the corner of a suspicious post and select "Report," they are now presented with an option specifically aimed at machine-generated spam. The exact phrasing being tested varies, but early users have spotted options similar to "Seems like AI slop" or "Low-quality automated content."

This move is significant because it relies on crowdsourced human intuition. While AI detection software is notoriously unreliable and prone to false positives, humans are surprisingly adept at spotting the "uncanny valley" of AI text—the robotic tone, the lack of personal anecdotes, and the excessive use of emojis and bullet points. By aggregating these user reports, LinkedIn's Trust and Safety teams can flag repeat offenders, shadowban automated accounts, and adjust their core algorithm to penalize low-effort AI generation.

A Delicate Balancing Act

The challenge for LinkedIn—and its parent company, Microsoft—is inherently contradictory. Microsoft is the primary backer of OpenAI and has heavily integrated AI into all of its products, including LinkedIn itself. LinkedIn actively encourages users to "Rewrite with AI" when drafting posts and uses AI to generate collaborative articles.

The platform is essentially trying to thread a very narrow needle: encouraging the assisted use of AI to help users articulate their thoughts, while simultaneously crushing the automated use of AI designed to spam the network.

What This Means for Job Seekers and Creators

For genuine users, this update is a massive win. If LinkedIn successfully suppresses AI slop, human-written content will naturally receive a massive boost in visibility. For job seekers, the advice is clear: do not use AI to write your posts entirely.

If a recruiter or hiring manager looks at your profile and sees a timeline full of robotic, soulless content, it actively damages your personal brand. Instead, use AI as a brainstorming partner or an editor. Write with your own voice, share your actual experiences, and engage authentically. In a sea of machine-generated slop, a single drop of genuine human insight is now more valuable than ever.