Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? The advent of generative AI (GenAI) has transformed the content creation landscape, offering new ways to produce diverse, high-quality content across media. This has reshaped online ecosystems but also raised concerns about market 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. In January 2024, a novel written by making full use of ChatGPT, "The Tokyo Tower of Sympathy", won the most prestigious Japanese literary award Akutagawa Prize. This marks the era of content creation competition between humans and generative AI (GenAI). ChatGPT's impressive text generation abilities, along with the generation of high-quality multi-media content, have made content creation more accessible to ordinary users. This has revolutionized individual lives and society, particularly in the realm of online content sharing. These AI-driven solutions have significantly altered the landscape of content creation on platforms like Instagram and TikTok. GenAI lowers the entry barrier for individuals who may lack the technical skills or resources to produce high-quality content, and may even help them gain a competitive edge in the market. This shift has led to a surge in the volume of content being created and shared, fostering new dynamics in online content ecosystems. However, this AI-driven transformation also brings significant challenges and concerns. The ease of generating content with AI can potentially lead to an over-saturated market, making it harder for individual creators to stand out or leaving truly creative human creators under appreciated. A recent event is that Universal Music Group pulls songs from TikTok and accuses the platform of being "flooded with AI-generated recordings" that diluted the royalty pool for real, human musicians. On the other hand, GenAI models are not omniscient. A key limitation of these models is their dependency on extensive and diverse datasets of high-quality, human-generated content for training. Should GenAIs inadvertently marginalize productive, high-quality human content creators, the resultant decline in the quality of model-generated content is inevitable. Drawing an analogy to biological interactions, the dynamics between GenAI-based creators and human creators could evolve into either symbiosis, leading to a mutually beneficial equilibrium, or antagonistic conflict, perpetuating rivalry and potentially destabilizing the market. Therefore, an urgent and scientifically interesting question to ask is, whether human creators will be driven out of the market when competing against AI-generated content, or is there a path toward a stable, symbiotic relationship? In this paper, we propose a stylized model to depict the rivalry between traditional human content creators and those utilizing GenHuman vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? The advent of generative AI (GenAI) has transformed the content creation landscape, offering new ways to produce diverse, high-quality content across media. This has reshaped online ecosystems but also raised concerns about market 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. In January 2024, a novel written by making full use of ChatGPT, "The Tokyo Tower of Sympathy", won the most prestigious Japanese literary award Akutagawa Prize. This marks the era of content creation competition between humans and generative AI (GenAI). ChatGPT's impressive text generation abilities, along with the generation of high-quality multi-media content, have made content creation more accessible to ordinary users. This has revolutionized individual lives and society, particularly in the realm of online content sharing. These AI-driven solutions have significantly altered the landscape of content creation on platforms like Instagram and TikTok. GenAI lowers the entry barrier for individuals who may lack the technical skills or resources to produce high-quality content, and may even help them gain a competitive edge in the market. This shift has led to a surge in the volume of content being created and shared, fostering new dynamics in online content ecosystems. However, this AI-driven transformation also brings significant challenges and concerns. The ease of generating content with AI can potentially lead to an over-saturated market, making it harder for individual creators to stand out or leaving truly creative human creators under appreciated. A recent event is that Universal Music Group pulls songs from TikTok and accuses the platform of being "flooded with AI-generated recordings" that diluted the royalty pool for real, human musicians. On the other hand, GenAI models are not omniscient. A key limitation of these models is their dependency on extensive and diverse datasets of high-quality, human-generated content for training. Should GenAIs inadvertently marginalize productive, high-quality human content creators, the resultant decline in the quality of model-generated content is inevitable. Drawing an analogy to biological interactions, the dynamics between GenAI-based creators and human creators could evolve into either symbiosis, leading to a mutually beneficial equilibrium, or antagonistic conflict, perpetuating rivalry and potentially destabilizing the market. Therefore, an urgent and scientifically interesting question to ask is, whether human creators will be driven out of the market when competing against AI-generated content, or is there a path toward a stable, symbiotic relationship? In this paper, we propose a stylized model to depict the rivalry between traditional human content creators and those utilizing Gen