Generative artificial intelligence is changing the way visual art and illustration are produced.Prior research has focused primarily on individual-level human-AI collaboration, offering limited insight into how collective stylistic patterns emerge when many creators interact through shared generative tools and visible outputs.To address this gap, we develop an agent-based model that captures how creators balance exploration and AI-assisted exploitation while responding to visible styles.Our prel
