An analysis finds over 54% of longer English-language posts on LinkedIn are likely AI-generated; LinkedIn says it doesn't track how many posts are created by AI
Scathing review of LinkedIn, imo. [embedded post] @gohor.se : I suspect an analysis will eventually find that 95%+ of “longer English-language posts” on LinkedIn are only used to train AI models. [embedded post] Jane Manchun Wong / @wongmjane.com : Eventually, LinkedIn will become a fully-autonomous place where bots talk to each other [embedded post] Casey Newton / @caseynewton.bsky.social : LinkedIn is going to be the first social network where more than half of the accounts, posts, and comments are all fake. And that's beautiful to me [embedded post] Leigh Drogen / @drogen.bsky.social : AI slop is going to overwhelm social networks just as the UX for AI agents takes our eyes off screens and goes through voice — Some will say it's the slop that caused the fall of social media, but it will just be a coincidence, the AI agents are what will kill it [embedded post] Craig Hamilton / @craighamilton.bsky.social : I read this article during the eulogy at my Grandmother's funeral, and this is what it taught me about Supply Chain Logistics — 1/465 🧵 [embedded post] Adrian Carrasquillo / @adriancarrasquillo.bsky.social : No wonder LinkedIn often seems like visiting an alien planet [embedded post] Elaine Maguire O'Connor / @wigsandgowns.bsky.social : This explains why everything on Linkedin is the same nonsensical, corporate bulls*t [embedded post] LinkedIn: Aimee Whitcroft : Have definitely noticed things getting rapidly worse here in a whole bunch of ways. — Thing is, it's really daft because quite soon … Forums: r/singularity : Yes, That Viral LinkedIn Post You Read Was Probably AI-Generated | A new analysis estimates that over half of longer English-language posts on LinkedIn are AI-generated r/technews : Yes, That Viral LinkedIn Post You Read Was Probably AI-Generated | A new analysis estimates that over half of longer English-language posts on LinkedIn are AI-generated r/technology : Yes, That Viral LinkedIn Post You Read Was Probably AI-Generated | A new analysis estimates that over half of longer English-language posts on LinkedIn are AI-generated
Context & Ripple Effects
This estimate lands after coverage of LinkedIn’s proliferation of fake profiles and, more recently, user complaints that AI-made “thought leadership” was adding to an already performative feed. It shifts the concern from account authenticity to the provenance of the content itself.
The broader arc is the expansion of AI text generation across online publishing, where AI-generated writing was already displacing some human-content demand. LinkedIn’s statement that it does not track AI-created posts leaves the platform without a disclosed baseline for assessing the estimate.
First-order effects
- The analysis makes the authenticity of longer LinkedIn posts a more immediate credibility issue for readers, creators, and brands using the feed for professional signaling.
- LinkedIn’s lack of tracking means it cannot directly validate, contextualize, or publicly measure the reported share of AI-created posts through its own stated metrics.
Second-order effects
- As AI-assisted posting becomes harder to distinguish from human authorship, creators who rely on perceived expertise face a higher burden to establish credibility; audiences may discount generic professional content more quickly.
- The finding sharpens the relevance of LinkedIn’s existing fake-account problem: profile-integrity efforts do not by themselves address synthetic content produced by accounts that appear legitimate.
Third-order effects
- If synthetic professional content keeps expanding faster than platforms can measure it, professional networks may compete increasingly on provenance signals and trusted distribution rather than on feed volume alone.
- This is an instance of the synthetic-supply paradox: cheaper content creation can increase supply while reducing the attention and trust available to any individual post.
The trend: Professional social platforms are moving from managing fake accounts toward managing the trust consequences of abundant AI-generated content.