AI-Generated Videos Take Over Social Media! Concerns Over Declining Intelligence and Platform Challenges

AI-Generated Videos Dominate Social Media: The Frenzy of Fruit Dramas and the Threat to Intelligence

In April 2026, a peculiar phenomenon has taken over short-video platforms like TikTok and Douyin. The screens are flooded with fruit characters like apples and bananas enacting overly dramatic stories of infidelity, pregnancy, and love triangles. These videos are entirely AI-generated, captivating audiences while simultaneously prompting global concerns that they are “lowering intelligence.” This ironic reality highlights how technological progress can inadvertently degrade the digital environment.

Background: The Explosive Spread of AI Video Generation Tools

The background of this trend lies in the rapid advancement of AI video generation technology since 2025. Tools such as OpenAI’s Sora, Google’s Veo, and China’s Kling, which can create high-quality videos from text or images, have been made widely accessible. This has democratized video production, which previously required technical expertise and high costs, allowing anyone to easily create content.

TikTok’s algorithm, which prioritizes highly engaging content, has further amplified the popularity of shocking and emotionally charged AI-generated stories. The fruit-themed AI videos represent the “perfect content” born from the combination of this algorithm and AI technology.

For instance, when a user inputs a prompt like “a fruit cheating, getting pregnant, and fighting a third party,” the AI generates a video within seconds. These videos often feature the Russian song “КамИн” to enhance their addictiveness. Certain TikTok accounts have amassed tens of millions of followers using this method, with individual videos receiving over a million likes. Such success stories have attracted more creators, leading to a flood of AI-generated videos.

Impact: Degradation of Content Ecosystems and Changes in User Behavior

The impact of this trend is vast. Firstly, the quality of content has dramatically declined. AI-generated videos are designed to evoke strong emotions but often lack logic and depth. Viewers are exposed to intense stimuli in short bursts, which some describe as leading to a state where “the prefrontal cortex is disappointed,” fostering a habit of shallow information processing. This degrades the overall intellectual environment of platforms, potentially stifling creativity and critical thinking.

Moreover, as algorithms prioritize such content, a vicious cycle emerges. When users spend time on fruit-themed AI videos, platforms push similar content, overshadowing diverse and meaningful material. Consequently, social media risks becoming “dumbed down,” and the diversity of information diminishes. Some users have even expressed frustration, saying, “I never want to see TikTok or Douyin again,” and have begun leaving the platforms.

The industry repercussions are also significant. Professional creators and companies face intense competition from AI-generated content, reducing their incentives to produce high-quality works. Advertisers, concerned about potential damage to their brand image, may reconsider their ad placements. In China’s tech sector, discussions on tightening regulations around AI-generated content are already underway, with platform operators struggling to find a balance.

Analysis: Why Are Fruit-Themed AI Videos So Popular?

The popularity of fruit-themed AI videos is driven by psychological and social factors. First, the fruit characters are harmless and familiar, creating a stark contrast with their extreme storylines, which piques curiosity. Second, AI-generated videos are inexpensive to produce and can be mass-produced. This enables creators to upload a high volume of videos in a short time, increasing their chances of being favored by algorithms.

Platforms also bear responsibility. TikTok’s recommendation algorithm prioritizes engagement metrics like watch time, shares, and comments, giving an edge to emotionally charged content. This creates a flawed equation—“engagement equals value”—which promotes the spread of low-quality content. Additionally, the lack of strict regulations on AI tools allows virtually anyone to join the fray, leading to market saturation.

Future Outlook: Platform Regulations and the Need for User Awareness

In response to this issue, platforms are moving toward stronger regulations. TikTok announced plans to label AI-generated content starting in early 2026, though its effectiveness remains uncertain. In China, the Cyberspace Administration is drafting quality standards for AI-generated videos, expected to take effect in late 2026. These standards may mandate minimum levels of narrative coherence and ethical guidelines.

At the same time, raising user awareness is crucial. Educational institutions and media outlets must work to improve digital literacy and teach people how to identify AI-generated content. Technology experts suggest using AI as a tool for creativity rather than merely chasing engagement, warning against its misuse.

In the long term, AI video generation technology will continue to evolve. However, to truly benefit from it, platforms, creators, and users must collaborate to build a sustainable content ecosystem. Otherwise, technology risks eroding human intelligence instead of enhancing it.

FAQ

Q: How are AI-generated videos created?
A: AI-generated videos are produced by inputting text prompts or images, with machine learning models generating video frames based on the input. Tools like Sora and Veo are commonly used, requiring significant computational resources even for short videos. Recently, simplified versions have become available on smartphone apps, allowing individuals to create videos easily.

Q: How are social media platforms addressing this issue?
A: Major platforms are beginning to mandate labeling for AI-generated content and setting quality standards. TikTok, for example, plans to add identification marks to AI videos starting in 2026. However, challenges such as detection technology limitations and resistance from creators make comprehensive regulation difficult. Algorithm adjustments are also being considered for the future.

Q: How can users judge the quality of AI-generated videos?
A: First, check whether the video has an AI-generated label. Next, look for logical inconsistencies in the storyline or unnatural characteristics of the characters. Additionally, users can adjust their platform settings to reduce exposure to AI-generated content. Fundamentally, verifying information from diverse sources and maintaining a critical perspective are key.