How much LinkedIn content is AI-generated right now?

Originality.ai's detector classified 4,061 of 5,000 public LinkedIn posts from July 2026 as "Likely AI", which the vendor reports as 81.2%. The sample is public posts of at least 100 words across nine topics, gathered from "90 topic-and-date searches" with "10 pages of results" each, then filtered for date, length and duplicates. The posts were selected "before checking any AI scores." The vendor presents the figure as the latest point in a series. Its earlier study "ended with over half of long-form posts classified as Likely AI", and the company says Likely AI content "has moved from roughly half of sampled long-form posts in late 2024 to well over three-quarters today."

The mechanism is a fixed classification method applied over time, not a judgment about individual authors. The excerpt says the study uses the same nine topics, the same 100-word floor and the same classification method each month, which is what lets the vendor read the change as a trend. It defends this narrow sample against feed-based studies, which "can give more weight to popular posts", and argues its sample is "narrower, but easier to compare consistently from month to month." The excerpt names a "15% AI Allowance" as part of the design but never says what it is or how it maps onto the Likely AI label, so the threshold behind the headline number is not visible from the text.

Set against the nearest notes, this is a platform-level share measurement. It sits beside How much of the internet is AI-generated now?, which also reports a detector-measured AI share, but for a web-archive sample with a different corpus. The two figures answer different questions and should not be pooled. The sharper contrast is with Why do AI posts get likes without inviting conversation?. That note argues AI posts collect likes without the replies that ordinarily produce influence. This excerpt counts how many such posts exist on LinkedIn but records no engagement, so it neither supports nor tests that mechanism. The platform's response to the figure is covered in Will LinkedIn's AI slop flag reduce AI-generated posts?.

The excerpt does not establish whether "Likely AI" tracks authorship, how accurate the detector is, which nine topics were searched, or how large the earlier sample was; it gives only "roughly half" and "over half." The write-up also discloses that "significant AI editing on the post was used to help summarize the findings." The fair reading is that 81.2% is a detector-defined share of one vendor's searched sample of public LinkedIn posts. It is useful as a trend line under a fixed method, but it is not an estimate of how much of LinkedIn is AI-written.