Exploring the impact of AI-generated content on branded IP character design and user experience

This paper aims to explore the practical application and potential value of AIGC technology in brand IP character design, and study its specific role in improving design efficiency, enhancing brand recognition and user emotional connection. Through literature review, the core theory of AIGC technology and its development trend in brand design are sorted out, and combined with case analysis and comparative analysis, the advantages and disadvantages of traditional design methods and AIGC technology are compared in depth. The study found that AIGC technology is significantly superior to traditional methods in terms of design efficiency, cost control and creative expression, especially showing strong appeal in the young audience market. In addition, through in-depth analysis of multiple typical cases, this article summarizes the key application scenarios of AIGC technology in the character design process, such as the generation of virtual idols, rapid iteration of brand IP images, and support for cross-platform communication. However, the study also revealed the limitations of AIGC technology applications, including insufficient emotional expression, low fit with brand tone, and data privacy and ethical issues. Based on the research results, this paper proposes suggestions for optimizing the application of AIGC technology, such as enhancing the emotional computing ability of the model, deepening the integration of brand research data, and promoting the hybrid design model of human-machine collaboration. This study shows that AIGC technology not only plays an important role in the current brand IP role design, but also provides a new direction for the sustainable development of the future brand communication ecology.