YouTube CEO is outlining steps the platform plans to take against low-quality, AI-generated videos, often dubbed “AI slop,” even as creator earnings from high-performing content continue to climb.
What YouTube is planning
YouTube CEO Neal Mohan recently discussed YouTube’s approach to low-quality AI content during a public event, stating that the company is aware of the volume of automated uploads that rely on minimal original input. Mohan emphasized efforts to refine recommendation systems and search ranking signals to favor human-created content that better serves viewers.
“To reduce the spread of low quality AI content, we’re actively building on our established systems that have been very successful in combatting spam and clickbait, and reducing the spread of low quality, repetitive content,” Mohan wrote in a letter.
AI-generated material has massively grown on YouTube and other platforms. Some of these uploads mimic popular formats, such as ambient videos, short recaps or remix-style compilations, using generative tools that produce large quantities of content with limited original contribution.
At the same time, many creators are reporting substantial earnings from original work, with some channels generating millions of dollars through ad revenue, brand partnerships and diversified income streams. YouTube’s ad network and monetization ecosystem remain robust for creators whose content consistently draws engaged viewers, even as debates around quality content and algorithmic balance continue.
Balancing discovery and quality
YouTube’s efforts to counter low-quality AI videos appear aimed at balancing two priorities: maintaining a diverse and open upload environment while ensuring that the videos surfaced to users are relevant and helpful. Recommendation tweaks may shift exposure away from automated or repetitive uploads in favor of content with clearer creator intent and viewer value.