Many people spend time scrolling through platforms such as YouTube, Reddit, or TikTok looking for interesting videos, posts, or creative work. However, it is becoming harder to find high-quality content because these platforms are increasingly filled with material generated by artificial intelligence. A large amount of this content is low in quality, repetitive, or produced with very little effort. When users have to sift through so much weak content to find something worthwhile, it can make the experience frustrating. At the same time, professional creators such as artists, writers, filmmakers, and musicians may struggle to make their work visible among the overwhelming volume of AI-generated posts.
A recent study explored how this rapid increase in AI-generated content is affecting online creative markets. The researchers explain that new generative AI tools allow people with little experience to produce content quickly. This makes it easier for beginners to enter creative spaces that previously required skill, time, and training. While this increased accessibility can be positive in some ways, it also leads to a flood of mediocre material. Some critics refer to this type of content as “AI slop” because it is produced quickly and often lacks originality or depth.
When large amounts of this low-quality content appear on social media platforms, it creates a problem for both audiences and creators. Consumers may become overwhelmed by the number of posts appearing in their feeds. Recommendation systems, which are designed to help people discover content they might enjoy, can also struggle when there is too much material to sort through. As a result, users may have difficulty finding the best work available, even if it exists somewhere on the platform.
One of the researchers involved in the study, Tianxin Zou from the University of Florida’s Warrington College of Business, explained that the huge quantity of AI-generated material can clog recommendation systems. When algorithms have to process so much content, it becomes harder for them to highlight the highest-quality work. This means that well-made videos, articles, or artworks may not reach the audiences who would appreciate them. At the same time, users may encounter many low-effort posts before discovering something genuinely interesting.
The researchers used economic modelling to understand how AI affects creative marketplaces as the quality of AI tools improves. Their analysis suggests that the current stage of generative AI may be particularly difficult for both consumers and professionals. When AI tools produce content that is average or slightly below average, they increase the total amount of material online without necessarily improving its quality. This situation harms users, who must search harder to find good content, and professionals, whose work becomes harder to notice.
One possible solution suggested by the study is clearer labelling of AI-generated content. If platforms clearly mark posts created with AI tools, users could decide more easily what they want to watch or read. Some people prefer content made by human creators, while others may be open to AI-assisted work. Transparent labels also help professional creators stand out, allowing audiences to recognise their work more quickly.
Despite the current challenges, the researchers believe the situation could improve as generative AI technology continues to develop. As these tools become more advanced, they may help creators produce higher-quality work rather than simply generating large amounts of mediocre material. In the future, professional artists and writers might use AI as a supportive tool in their creative process. By combining human expertise with AI assistance, they can create work that is even more polished and innovative. At the same time, creators will need to pay attention to how audiences respond to AI-assisted content and adapt their methods accordingly.
More information: Tianxin Zou et al, Welfare Implications of Democratization in Content Creation: Generative AI and Beyond, Journal of Marketing Research. DOI: 10.1177/00222437261423540
Journal information: Journal of Marketing Research Provided by University of Florida