Competition and Diversity in Generative AI

The article presents a formal game-theoretic model analyzing how competition among producers influences content diversity in generative AI. It demonstrates that competitive markets can mitigate the homogenization of outputs typically observed with similar AI models, emphasizing the need to evaluate generative AI across diverse output distributions, especially in competitive contexts. The findings suggest that rather than leading to a monoculture, competition can foster the development of diverse AI models, which is critical for practitioners aiming to deploy AI in varied market environments.