TikTok has spent years perfecting the art of knowing exactly what you want to watch next. Open the app, scroll a few times, and suddenly it’s serving videos that feel uncannily tailored to your interests. But what happens before TikTok learns who you are? According to new research from video editing platform Kapwing, the answer is increasingly AI slop.
The study found that nearly 60% of the videos shown to a brand-new TikTok account were low-quality AI-generated content. That’s not a niche problem buried in obscure corners of the platform. It’s the first impression TikTok is making on new users before the algorithm even begins personalizing their feed. And if that sounds concerning, the findings around children’s content are even harder to ignore.
The algorithm’s junk-food era
TikTok’s recommendation engine is designed to adapt quickly. The platform looks at everything from likes and follows to watch time and scrolling habits before deciding what to show you next. To understand what an untouched TikTok experience looks like, researchers created a fresh account and examined the first 500 videos served on the For You page. The results were startling: 294 of those videos were classified as AI slop. That means a new user is more likely to encounter AI-generated junk than human-created content before TikTok has any meaningful data about their preferences.
Perhaps even more telling is how TikTok compares to other platforms. Kapwing previously ran a similar experiment on YouTube Shorts and found substantially less AI-generated clutter. TikTok wasn’t just worse — it was dramatically worse. At this point, AI content isn’t merely sneaking into the platform. It’s becoming part of the platform’s default aesthetic. And that may be the real story here. For many users, especially younger ones, AI-generated videos aren’t an occasional oddity anymore. They’re becoming normal.
Sesame Street meets the uncanny valley
The most alarming section of the report focuses on content aimed at children. Researchers found that more than half of the videos in TikTok’s Kids category qualified as AI-generated “slop.” One hashtag in particular, CartoonKids, was almost completely overtaken by AI-generated material, with only a handful of videos appearing to be made by humans. Anyone who has stumbled across these videos will recognize the formula immediately — familiar cartoon characters appear in bizarre scenarios, educational lessons are riddled with mistakes, characters speak with unsettling synthetic voices, animations shift and morph in ways that don’t quite make sense.
The content often resembles children’s programming at first glance, but falls apart the moment you pay attention. That’s what makes it troubling. Young children aren’t equipped to distinguish between high-quality educational content and an AI-generated imitation that confidently presents incorrect information. A counting lesson that gets the numbers wrong may seem ridiculous to an adult, but a preschooler doesn’t have the same context. The internet has always had questionable content for kids. What’s changed is the scale. Generative AI enables the creation of endless streams of videos at a pace no human creator could ever match. And TikTok’s recommendation system appears more than willing to distribute them.
The problem extends beyond children’s content, too. The study found that educational, science, health, and history videos were among the categories most heavily affected by AI slop. That’s particularly unfortunate because these are precisely the topics where accuracy matters most. A poorly generated comedy skit is easy enough to scroll past. A history lesson filled with fabricated details or a health video presenting misleading advice is a different story altogether. To be fair, not every creator using AI is producing garbage. Some creators are experimenting with AI-generated presenters and visuals to make educational topics more engaging. In the best cases, AI functions as a tool that supports the creator’s work rather than replacing it. But the report highlights a growing reality across social media: the incentives often reward volume over quality. If a creator can generate dozens of videos in the time it once took to make one, platforms become flooded with content that is technically watchable but offers very little substance.
TikTok seems aware that users are growing tired of it. The company has introduced controls that allow users to reduce the amount of AI-generated content they see and has invested in AI literacy initiatives. Yet the research suggests those efforts may be struggling to keep pace with the flood. The irony is that social media became popular because it offered something distinctly human: creativity, personality, expertise, and connection. AI can imitate all of those things surprisingly well. But imitation isn’t the same as authenticity. When nearly six out of every ten videos a new user sees are AI-generated, the question is no longer whether AI slop exists on TikTok. The question is whether it has become a defining feature of the platform. And for a generation of children growing up with these feeds, that answer matters more than ever.
The emergence of AI slop as a dominant content type on TikTok reflects a broader shift in digital content creation. While platforms like YouTube have historically relied on human creators, TikTok’s algorithm-driven model is uniquely vulnerable to automated content. The platform’s short-form video format, combined with its rapid recommendation system, creates an environment where quantity can easily outweigh quality. This is not just a problem for new users; it also affects regular users who may inadvertently consume inaccurate information.
Kapwing’s methodology involved creating a completely fresh account with no search history, follows, or likes. They then scraped the first 500 videos that appeared on the For You page and classified each as either human-made or AI-generated. The threshold for “AI slop” was based on clear indicators such as synthetic voices, unnatural movement, inconsistent lighting, and obvious generative artifacts. The result: 59% of the videos were deemed AI slop. In contrast, a similar test on YouTube Shorts found only 19% AI slop.
One of the most troubling aspects of this trend is its impact on children’s media literacy. Young children are particularly susceptible to accepting whatever they see on screen as true. AI-generated content that looks educational but contains errors can undermine learning. For example, videos claiming to teach the alphabet may mispronounce letters or skip entire sounds. Such content can create confusion and set back early childhood education efforts.
Moreover, the sheer volume of AI slop makes it difficult for human creators to compete. A single AI tool can generate hundreds of videos in a day, flooding the platform with content that may not be carefully vetted. This creates an unfair playing field where authentic, high-effort content gets buried. TikTok’s recommendation system does little to distinguish between a carefully crafted educational video and an automated one, as both can generate engagement metrics like watch time and shares.
Some commentators have argued that TikTok could mitigate the problem by requiring creators to label AI-generated content more visibly. However, even with labels, the issue of misinformation remains. A label does not correct the errors within the video. Additionally, many AI-generated videos fly under the radar because they do not appear obviously synthetic to the casual viewer. The most deceptive ones mimic human-created content so closely that only a trained eye can spot the differences.
Gender stereotypes and cultural biases can also be amplified by AI slop. Many AI-generated children’s videos default to white, Western-centric imagery and reinforce outdated gender roles. This can shape young children’s perceptions in ways that are not only inaccurate but also harmful. The lack of human oversight means these biases go unchecked.
On a broader scale, the rise of AI slop raises questions about the future of social media. If platforms become saturated with machine-made content, they risk losing the very qualities that made them popular. Users may grow frustrated and move to platforms that prioritize authenticity. Already, there are signs of user fatigue. Comments on AI slop videos often express annoyance or confusion, but the algorithm continues to serve them because they generate enough views.
TikTok’s response to this crisis has been mixed. In mid-2024, the company introduced a toggle that lets users reduce AI recommendations. It also launched an AI literacy campaign aimed at helping users identify synthetic content. However, these measures are opt-in, meaning most users never enable them. Furthermore, the literacy campaign has limited reach, especially among young children who are least equipped to evaluate content critically.
Industry observers note that the problem is exacerbated by TikTok’s business model. The platform profits from high engagement, and AI slop—despite its low quality—often keeps users scrolling. Educational content that is boring but accurate may get less watch time than a flashy but false AI video. Until TikTok’s financial incentives align with quality, the flood of AI slop is likely to continue.
In the long term, the solution may require a combination of better detection tools, stricter content policies, and increased media literacy education. Some researchers advocate for mandatory pre-screening of AI-generated content in categories like health and education, similar to how some platforms review advertisements. Others call for a rating system that helps parents filter out AI-generated children’s content.
Kapwing’s findings serve as a wake-up call. While AI has the potential to enhance creativity and learning, its current use on platforms like TikTok is doing more harm than good. The fact that nearly 60% of new users’ feeds are filled with AI slop means that the first impression of TikTok is one of synthetic, often misleading content. For children, who are still developing critical thinking skills, the consequences could be lasting.
As the debate over AI regulation heats up, this study provides concrete evidence of the scale of the problem. It is no longer a niche issue but a mainstream concern that affects millions of users daily. Whether TikTok can reverse this trend remains to be seen, but the data suggests that without significant intervention, AI slop will only become more entrenched.
Source: Digital Trends News