## 5 Discussion
### Theoretical and Practical Implications  
This study adopted a mixed-methods approach, combining the strengths of qualitative and quantitative research to deeply explore the application of AI in the field of video production and its key influencing factors. Our findings not only align with the general characteristics identified in the existing academic literature but also reveal several emerging areas previously unexplored in research [78]. Theoretically, this study successfully identified eight major barriers to the adoption of AI tools in the video production industry, effectively filling a gap in existing research. These barriers, including the uncertainty of market demand, insufficient technological maturity, and challenges in cross-disciplinary collaboration, have deepened our understanding of what drives the broader industry adoption of AI technologies [79].  
In practical application, our research findings provide invaluable insights for the decision-making process of video production companies when deploying AI tools internally. By recognizing and understanding these key barriers, video production companies can invest more confidently in AI technology, significantly improving production efficiency and quality [80]. Moreover, by accurately targeting market demands and customer preferences, companies can develop AI solutions that better meet user expectations, thereby accelerating market penetration and acceptance of the technology. Specifically, in response to the increasing demand for personalized content and creative expression, companies can utilize AI VGTs to provide customized video editing and enhancement functionalities, optimizing the creative process and enhancing the aesthetic value of the final product.  
Additionally, we offer some recommendations to AI software manufacturers. For instance, continuous innovation should be encouraged, with investments in research and development to enhance the innovative capabilities of AI VGTs, along with establishing close ties with customers to understand market demands. Furthermore, ongoing investment in research and development is needed to enhance technological maturity, while interdisciplinary collaboration should be encouraged to pool diverse expertise for solving complex problems. Regarding ethics and privacy, strict policies and measures should be implemented to ensure compliance with legal and ethical requirements, providing transparency and user control to safeguard privacy and data security. To enhance public acceptance, public education should be conducted, and public concerns should be actively addressed to build trust and recognition [81]. Regarding data security and copyright, stringent measures should be implemented to protect user and customer data security, ensuring that the data and content used are legitimate and authorized. Finally, in the context of a global perspective and localization, consideration should be given to the needs and preferences of different regions and cultures, with localization customization carried out and efforts made to expand international cooperation to seek opportunities and partners globally [82]. These recommendations will contribute to overcoming various challenges and barriers in the adoption of AI VGTs, promoting their successful application and continuous development in the field of video production. Through a comprehensive analysis of AI application in the video production industry, our research not only makes theoretical contributions but also provides practical guidance for industry practices, with the potential to promote innovation and development in the video production industry.