Charging creators an entry fee and feeding it back into the prize pool can improve content quality at Nash equilibrium, while rank-order and proportional rewards both structurally deter new entrants.
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
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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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Entry Barriers in Content Markets
Charging creators an entry fee and feeding it back into the prize pool can improve content quality at Nash equilibrium, while rank-order and proportional rewards both structurally deter new entrants.