In a recent LinkedIn post, Daniela Andrade explores a potential shift in the platform’s algorithm, suggesting it might be a strategic move to combat the proliferation of low-quality, AI-generated content. Andrade posits that LinkedIn’s increasing emphasis on video could be a direct response to the challenge of “AI slop” flooding the network.
The author begins by highlighting a new feature that allows users to report posts as AI-generated, indicating LinkedIn’s awareness of the problem. Andrade then pivots to her own recent experience with posting more videos on the platform.
“I only recently started posting more videos, and something immediately stood out to me: The videos do not always get that many likes. But they often get significantly more impressions.”
This observation leads Andrade to question the underlying distribution mechanics. While video engagement, measured by likes, might appear lower than expected, Andrade points out that the impressions often tell a different story. According to her analysis, videos can reach a substantially larger audience than many written posts, even if they don’t garner as many direct interactions.
The Challenge of AI-Generated Content
Daniela Andrade argues that the rise of sophisticated AI writing tools has made it easier than ever for individuals to generate seemingly professional content without genuine expertise. This ease of creation contributes to the “AI slop” problem, where the platform becomes saturated with generic or unoriginal material.
“Anyone can type a generic thought into ChatGPT, turn it into a polished LinkedIn post, and present it as expertise.”
As Andrade notes, this trend diminishes the value of genuine insights and makes it harder for authentic voices to stand out. The ability to mass-produce content through AI poses a significant challenge to the platform’s goal of fostering meaningful professional connections and knowledge sharing.
Video as a Potential Antidote to AI
Andrade’s central theory is that video content, by its nature, is more resistant to the kind of AI automation that plagues written posts. She elaborates on the inherent human elements required for effective video creation.
“You still need a real person on camera, a perspective worth listening to, a strong script, and enough editing to keep people watching.”
In Andrade’s view, while AI can automate writing, it has not yet mastered the art of producing compelling, human-led video content. This makes video a more reliable format for showcasing authentic personality, expertise, and engaging storytelling. The effort involved in producing quality video—from being on camera to scripting and editing—creates a higher barrier to entry for low-effort, AI-generated content.
Connecting the Dots: Algorithm Shift and Video Push
Based on these observations, Daniela Andrade proposes a connection between LinkedIn’s potential algorithm changes and its push for video. Her hypothesis is that by promoting video, LinkedIn is encouraging a format that is inherently more difficult to manipulate with current AI technology.
“So my theory is that LinkedIn may be pushing video because, at least for now, it is one of the hardest formats to turn into AI slop.”
This strategy, according to Andrade, could serve a dual purpose: increasing user engagement through a dynamic format and simultaneously filtering out a significant portion of the problematic AI-generated text content. She concludes by posing a question to her network, inviting them to share their own observations about the increasing presence of video in their feeds.
📝 About This Content
This article is based on insights shared by Daniela Andrade on LinkedIn.
📅 Originally posted on August 6, 2026 | View original post on LinkedIn →