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The Reshaping of the Creative Industry Value Chain by Generative Artificial Intelligence: A Study Based on the Content Production Segment

Author(s)

Yanxin Mao*

Affiliation(s)

Baise University, Baise, Guangxi, China *Corresponding Author

Abstract

With the rapid development of the digital economy, the creative industries are experiencing profound transformations, especially with the rise of generative artificial intelligence (AIGC). This study explores how AIGC reshapes the content production segment of the creative industry value chain, analyzing its impact on business creation and collaboration models. Through a combination of literature review and case studies, the research focuses on three key areas: creative generation, content creation, and post-production optimization. The findings reveal that human-AI collaboration enhances production efficiency, creative diversity, and innovation. AIGC significantly improves creative output, optimizes resource allocation, and drives business model innovation. However, challenges such as originality protection, copyright ownership, and job displacement also arise. The study proposes the establishment of management frameworks to regulate AI integration, develop content quality standards, and strengthen creator training. This research enriches the intersection of the digital economy and creative industries and provides practical guidance for businesses in intelligent content production.

Keywords

Generative Artificial Intelligence; Creative Industry; Value Chain; Content Production; Human-AI Collaboration; Production Efficiency

References

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