Economics of Artificial Intelligence in Animation Film Making: Production Efficiency, Cost Optimization, and Value Creation in the Global Creative Economy

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in contemporary animation film making, reshaping production workflows, cost structures, labor dynamics, and global market strategies. Rather than being limited to specific franchises or studios, AI-driven technologies are now widely adopted across the animation industry, influencing pre-production planning, character animation, visual effects, rendering, editing, and distribution. This study examines the economics of AI in animation film making by analyzing how intelligent automation, machine learning, procedural generation, and predictive analytics enhance production efficiency, reduce operational costs, optimize resource utilization, and create new economic value.

Using a qualitative and descriptive research framework, the study synthesizes insights from industry practices, production models, and global animation trends. The findings reveal that AI integration significantly shortens production cycles, minimizes financial risks, supports scalable business models, and strengthens international market competitiveness. Furthermore, AI adoption reshapes labor economics by transforming skill requirements and encouraging creative specialization. The study contributes to economic and media research by presenting a comprehensive framework for understanding how AI-driven animation film making supports sustainable growth within the global creative economy.