An Indian YouTube channel, Bandar Apna Dost, has emerged as the world’s most-viewed channel producing AI-generated “slop” content, according to a recent global study. The channel is estimated to earn around $4.25 million a year, making it one of the most profitable examples of automated video creation on the platform.
The findings come from a report by Kapwing, a video-editing company that analysed nearly 15,000 high-performing YouTube channels worldwide. The study focused on the growing spread of low-effort, AI-driven videos—content created quickly using artificial intelligence, with little human creativity or storytelling involved.
Bandar Apna Dost topped the global list in this category, recording more than 2 billion views and attracting millions of subscribers. The channel features short animated clips, usually centred on a cartoon monkey and a muscular, superhero-like character placed in exaggerated or absurd situations. The videos are simple, repetitive, and easy to produce in large numbers using AI tools.
Kapwing identified 278 channels that rely entirely on AI-generated content. Together, these channels have amassed over 63 billion views and more than 220 million subscribers, showing how rapidly such content is spreading across YouTube.
The report also highlights the role of YouTube’s recommendation algorithm in driving the popularity of AI-generated videos. Around 20 percent of videos recommended to new users fall into the AI slop category. On YouTube Shorts, the share is even higher, with nearly one in three suggested videos classified as low-substance but highly engaging content, often referred to as “brainrot”.
Experts say the success of channels like Bandar Apna Dost reflects how AI has reduced the cost, time, and effort needed to produce viral videos. A small team—or even a single creator—can now upload content at scale and generate significant advertising revenue.
However, the trend has raised concerns among creators and media observers. Critics warn that the rise of automated, low-effort videos could push original and high-quality content out of recommendation feeds. Others argue that it exposes how platform algorithms prioritise engagement over creativity or depth.
