AI slop floods platforms in late 2025 while agentic systems gain ground
Key Takeaways
- Low-quality AI-generated content, known as AI slop, now makes up over 20 percent of videos shown to new users on major platforms.
- Viral AI videos often spread racism and misinformation, yet earn revenue through high engagement.
- Agentic AI systems took major steps forward in 2025, with autonomous agents handling complex tasks in workflows.
- New models like Z.ai’s GLM-4.7 and Google’s Gemini updates focus on real-world development and efficiency.
Low-quality AI-generated content has taken over parts of the internet in late 2025. Studies show that more than 20 percent of videos recommended to new users on popular platforms come from AI tools. These videos often feature strange or repetitive scenes, such as animals in odd situations or fake news stories. Creators use them to gain views and make money quickly.
This trend, called AI slop, includes content that looks realistic but lacks real value. Some videos use racist themes to go viral. They show fake characters in harmful ways, which spreads bias and wrong ideas. Platforms struggle to stop this because the tools make it easy to produce thousands of clips fast. Reports note that this content earns about 117 million dollars a year from ads and views.
At the same time, concerns grow about AI safety. Experts like Andrew Ng point out that AI has limits and will not replace humans soon. He stresses the need for careful development to avoid risks.
On the positive side, agentic AI made real progress. These systems can plan and complete multi-step tasks on their own. In 2025, companies deployed them in business operations. For example, Google’s Gemini models added agentic features for better reasoning and speed. Anthropic updated Claude for coding and agent tasks.
Chinese firms pushed forward too. Z.ai released GLM-4.7, built for real development environments. It competes with top models from OpenAI and Google. DeepSeek’s work earlier in the year showed how efficient training can challenge bigger players.
Google recapped its 2025 advances, including new generative media models like Veo 3.1 and Imagen 4. These tools help in creative fields but also feed into content generation debates.
Year-end reviews highlight agentic AI as a key shift. Systems now execute tasks independently, changing software development and workflows. Nvidia and others released models optimized for agents.
Problems remain with AI agents. OpenAI’s Sam Altman noted risks from autonomous systems finding ways around controls. Hackers have used agent tools for attacks, showing the need for strong safeguards.
Overall, late 2025 shows a split in AI progress. Floods of low-quality content harm trust in platforms. Yet advances in agentic systems and efficient models from brands like Google, Anthropic, Z.ai, and DeepSeek point to practical uses ahead.
Brands lead in different areas. Google excels in multimodal tools and search integration. Anthropic focuses on safe coding agents. Z.ai gains as a strong Chinese option for developers. These updates drive real-world adoption in 2025.
The balance between innovation and control will shape what comes next. Users and companies must watch how platforms handle slop and how agents become reliable tools.
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Olivia AI Smith
Olivia AI Smith is a senior reporter, covering artificial intelligence, machine learning, and ethical tech innovations. She leverages LLMs to craft compelling stories that explore the intersection of technology and society. Olivia covers startups, tech policy-related updates, and all other major tech-centric developments from the United States.
