This study explores the factors that impact the adoption of Artificial Intelligence Generated Content (AIGC) design tools in creative industries, focusing on their impact on creativity outcomes. Using the UTAUT framework, we investigated the relationships between performance expectancy, effort expectancy, social Influence, facilitating conditions, behavioral intention, and creativity outcomes. The results indicate that performance expectancy, followed by facilitating conditions, is the most significant predictor of both behavioral intention and creativity outcomes. Additionally, behavioral intention acts as a mediator in the relationship between these factors and creativity, highlighting its central role in technology use. While effort expectancy did not directly influence creativity, it affected behavioral intention, which in turn impacted creative outcomes. Social influence had a weak but positive effect on creativity. These findings suggest that enhancing the perceived usefulness of AIGC design tools, alongside providing adequate training and support, can boost both adoption and creative performance. This research offers practical insights for technology developers and creative professionals, emphasizing the importance of user intention and support systems in unlocking the full creative potential of AIGC design tools.