Short video platforms have become an important form of global digital content dissemination. The “China Online Audiovisual Development Research Report (2024)” shows that China's online audiovisual users have reached 1.074 billion, with an average daily short video update volume of nearly 80 million. This demand has promoted the widespread application of generative artificial intelligence (AIGC) technologies such as generative adversarial networks (GANs) and Transformers, significantly reducing the time and energy investment of creators. This study combines the Technology Acceptance Model (TAM) and the Value Adoption Model (VAM) to analyze the application of AIGC technology in short video creation and the technology adoption behavior of creators, focusing on the impact of perceived ease of use, perceived usefulness, emotional experience, perceived sacrifice and perceived risk on usage intention. Through questionnaire surveys and regression analysis, a research framework combining TAM and VAM was constructed. The study found that perceived ease of use and emotional experience had a significant positive impact on usage intention, while perceived usefulness, perceived risk and perceived cost had no significant impact on usage intention, indicating that in specific situations, ease of use and emotional experience can better drive creators' usage decisions.