Resources

Table of Contents

0. Enhancement & Expansion of AI Utilization within the Game
I. Industry's Value Chain
1. The Evolving Game Industry Due to AI Technology
2. Advanced Utilization of Generative AI in the Game Industry
II. Case Studies of AI Utilization in the Game Industry
1. AI Utilization Cases of Global Game Companies
2. AI Utilization Cases of Small and Indie Game Companies
3. AI Utilization Strategies Based on Company Size
III. Prospects of the Game Industry in an AI Environment
1. The Realm of Game Creation and AI Utilization
2. AI Transformation of the Game Industry (AX: AI Transformation)

Summary

 

· Enhancement & Expansion of AI Utilization within the Game Industry's Value Chain
The game industry, known as an "AI first mover," is extensively applying AI in various stages—from production to service—including system design, planning, balancing, art, and concept programming. It is projected that there is high potential for further advancement and expansion.

 

· Current Status and Cases of AI Utilization in the Game Industry
(Large Game Developers and Publishers): They focus on strategies that enhance added value, such as improving game quality, deriving long-term strategic plans, preventing user churn through detection systems to increase user retention, and offering personalized services.
(Small and Indie Game Companies): They concentrate on strategies that allow them to focus on core creative tasks by expanding job scopes and improving development efficiency with less cost and fewer personnel for prototyping and market validation.

 

· Future Strategic Issues in the AI Environment
There is a need for precise definitions of outcomes generated by AI. Clearly delineate the areas understandable by AI, distinctly separate the fields managed by AI from human roles, and develop advanced strategies for each domain. Structural work is required on revenue models concerning the competitiveness generated by generative AI within the entire value chain of the game industry.