## 5 Discussion
### Limitations and Future Research Directions  
This study explores various factors influencing the adoption of AIVGTs in the video industry, but it has some limitations. Firstly, this study employed expert interviews and case studies, which may introduce subjective biases. Despite efforts to ensure diverse viewpoints, the opinions of experts and industry insiders participating in the interviews may be influenced by their personal experiences and positions. Future research should employ more diversified methods, such as quantitative surveys, experimental designs, and integration of big data analysis, to provide more robust data support. Secondly, the study's sample was entirely obtained in China; thus, its geographical and cultural representativeness may be limited and may not apply different cultural and market backgrounds. To enhance the universality and applicability of the research, future studies should consider expanding the sample range to include participants from different countries and cultural backgrounds. Additionally, considering the rapid development of AI technology, the data used in this study may struggle to keep up with the latest technology trends and market reactions. The pace of innovation in the AI field may rapidly alter the barriers and dynamics of industry adoption. Therefore, it is recommended that future research adopts rolling or continuous data collection methodsto maintain the timeliness and relevance of research data and better track the development trends of AI technology and changes in industry applications.  
For future research, we suggest conducting dedicated research projects to explore the collaborative modes between AIVGTs and human creativity [83]. Through specific case studies, we can analyze in detail the changes in creative output, production efficiency, and feedback and improvement suggestions from creative teams before and after the introduction of AIVGTs [84]. Expanding the geographical scope of the research to include different countries and cultural backgrounds will help evaluate how cultural differences affect the adoption and use of AIVGTs. This can assist in developing customized solutions tailored to different market demands [85]. Given the rapid changes in AI technology, establishing a periodic technical assessment mechanism to regularly review the performance, functionality, and market feedback of new tools is crucial. This dynamic technical tracking will facilitate timely updates to research content, ensuring the relevance and practicality of research results [86]. Specifically studying the technical limitations, compatibility issues, and performance of AIVGTs in different scale production environments will provide empirical evidence for technology improvement and application expansion. Furthermore, conducting a cost-benefit analysis and an investment return evaluation will help companies accurately assess the economic value of AIVGTs, thus enabling better investment decision-making [87]. Finally, delving into the ethical, privacy, and legal issues arising from the increasing application of AI technology in video production and proposing effective management strategies and regulatory recommendations will protect user rights and promote the healthy development of technology [88].