Is AI slop taking over YouTube? It is certainly growing fast. New analyses show how rapidly low-quality, AI-generated videos are spreading across major platforms, with some of this content appearing to target young children.
If your child’s YouTube feed feels stranger than it used to, you are not imagining it. Over the past few years, a new kind of low-quality, mass-produced video has been spreading fast across major platforms. It is often called “AI slop”. What is new is not the existence of this content, but the scale at which it now appears.
A recent analysis by Kapwing found that more than 20% of the videos shown to brand-new YouTube users were AI slop. Among the world’s most popular YouTube channels, hundreds now publish nothing but this kind of content. Together, they have attracted tens of billions of views and generate an estimated $117m a year. A separate analysis by The Guardian, looking at one month’s data on the 100 fastest‑growing YouTube channels, found that nearly one in ten consisted almost entirely of AI‑generated videos.
Some of this content appears to reach young children. They mimic familiar preschool formats but have little narrative depth or educational intent. The videos are simple, brightly coloured and repetitive. Scenes change rapidly, providing little space for children to process what they see. Autoplay keeps it going. That combination can easily overwhelm young children and make it harder for them to disengage.
This content is designed for the algorithm, not for children.
There is also a darker edge. Investigations by outlets such as WIRED have warned of a new wave of AI-generated videos that present themselves as kid-friendly but veer into unsettling or disturbing territory. Platforms do not intend to recommend harmful material, but low-effort AI production makes it harder to filter everything out.
Taken together, this new research and reporting point to a deeper issue. Trust is eroding. Parents want to know that what their children see is made with care and supports their wellbeing. On large media platforms, where algorithms decide what comes next and quality checks struggle to keep up, that trust can no longer be taken for granted.