A Comparative Analysis of Adoption Patterns and Human-AI Collaboration in Asia-Pacific Digital Art

The integration of artificial intelligence (AI) into creative industries is rapidly transforming how content is produced, distributed, and interpreted. This study uses a sociotechnical lens to investigate the adoption and diffusion of AI-generated content (AIGC) across media, gaming, and marketing sectors in the Asia-Pacific region. Grounded in sociotechnical systems and innovation diffusion theories, its research employs a quantitative methodology using secondary data sources to analyze patterns of technological integration, regulatory influence, and creative workflow evolution. Findings indicate that the uneven adoption of AI across sectors is shaped not only by a sector's technological capabilities but also by its institutional readiness, national policy frameworks, and cultural attitudes toward automation. The study highlights the importance of human-centered design, ethical considerations, and platform dynamics in facilitating the sustainable and equitable implementation of AI tools.