TikTok’s algorithm may have a serious problem on its hands. A comprehensive new study has found that nearly 60% of the videos shown to brand-new users on the platform are AI-generated content—what many in the industry call “AI slop.” The findings raise serious questions about content quality and whether the platform’s recommendation system is working as intended.
What Happened
Video editing platform Kapwing published research analyzing 10,742 TikTok videos across 20 popular categories, with a specific focus on the first 500 videos shown on the For You page of newly created accounts. The results were striking: nearly 6 out of every 10 videos served to fresh users were AI-generated rather than content created by actual human creators.
The study examined the initial user experience—a critical period where TikTok typically tries to hook new users with engaging content. Instead, new accounts appear to be drowning in algorithmically-recommended AI slop, from synthetic voiceovers to AI-generated video compilations and low-effort automated content.
Key Points
The implications of this finding are substantial. First, TikTok’s For You page algorithm appears to be heavily favoring AI-generated content, potentially because such videos are cheap to produce at scale and can be uploaded in massive quantities. This could be artificially inflating the visibility of low-quality, mass-produced material over genuine creator content.
Second, the user experience for new accounts is severely compromised. When nearly 60% of recommended content is algorithmically-generated material, new users encounter less authentic human creativity and connection—the very elements that initially made TikTok popular.
Third, genuine creators face increased competition for visibility. With the algorithm allegedly prioritizing AI content, human creators must work harder to reach and retain new users.
What This Means
This report reveals a broader crisis facing social media platforms in the AI era. As generative AI tools have become cheaper and more accessible, platforms are being flooded with synthetic content designed to exploit algorithmic recommendation systems rather than engage authentic audiences.
For TikTok specifically, the findings suggest the platform may need to reassess its algorithm priorities. The current system appears optimized for engagement metrics rather than content quality or creator authenticity. If TikTok wants to maintain its position as a creator-first platform, addressing the AI slop problem should be a priority.
For users, the research underscores the importance of curating your own feeds carefully and being critical about the content you engage with. For regulators and policymakers, it’s another data point suggesting social media platforms need stronger guidelines around synthetic content labeling and algorithmic transparency.
