Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Abstract
The advent of generative AI (GenAI) technology produces transformative impact on the content creation landscape, offering alternative approaches to produce diverse, high-quality content across media, thereby reshaping online ecosystems but also raising concerns about market over-saturation and the potential marginalization of human creativity. Our work introduces a competition model generalized from the Tullock contest to analyze the tension between human creators and GenAI. Our theory and simulations suggest that despite challenges, a stable equilibrium between human and AI-generated content is possible. Our work contributes to understanding the competitive dynamics in the content creation industry, offering insights into the future interplay between human creativity and technological advancements in GenAI.
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Cited by top-tier papers8
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- Strategic Content Creation with GenAI: To Share or Not to Share?Gur Keinan, Omer Ben-PoratWWW 2026 · 5 citations
- User Welfare Optimization in Recommender Systems with Competing Content CreatorsFan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li et al.KDD 2024 · 5 citations
- Braess's Paradox of Generative AIBoaz Taitler, Omer Ben-PoratAAAI 2025 · 2 citations
- Market Games for Generative Models: Equilibria, Welfare, and Strategic EntryXiukun Wei, Min Shi, Xueru ZhangICLR 2026 · 2 citations
Builds on13
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- On the Stability of Iterative Retraining of Generative Models on their own DataQuentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong et al.ICLR 2024 · 93 citations
- Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching ApproachMartin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky et al.ICML 2020 · 70 citations
- Supply-Side Equilibria in Recommender SystemsMeena Jagadeesan, Nikhil Garg, Jacob SteinhardtNeurIPS 2023 · 53 citations
- How Bad is Top-K Recommendation under Competing Content Creators?Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang et al.ICML 2023 · 39 citations
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