Assimilating Generative AI into Game Development
DOI:
https://doi.org/10.56472/WCAI25-107Keywords:
Generative AI, Game Development, AI in Games, Procedural Content Generation, AI-assisted Game Design, Machine Learning in Games, AI-driven Narrative, AI-based Character Design, Game AI, Real-time Content GenerationAbstract
The rise of generative artificial intelligence (AI) has introduced transformative possibilities across multiple domains, and game development is no exception. Traditionally, gaming has driven the evolution of computing—from advanced GPU architectures to latency-optimized network systems—pushing the boundaries of real-time interactivity. Today, generative AI extends this frontier by reshaping not only the creative aspects of game design but also the software engineering processes and team dynamics behind it. AI-powered tools enable rapid prototyping, automated content creation, intelligent QA testing, and predictive optimization, reducing development overhead while enhancing quality. Beyond automation, AI acts as a collaborative partner, bridging communication gaps between artists, designers, and engineers, facilitating data-driven decision-making, and acceler- ating knowledge sharing within teams. As gaming increasingly converges with adaptive storytelling, procedural generation, and hyper-personalized player experiences, AI emerges as a catalyst for creating more immersive, scalable, and efficient development pipelines. This paper explores the role of generative AI in game software development, focusing on its technical applications, impact on collaborative workflows, and implications for the future of interactive entertainment. Index Terms—Gaming, in-game purchases, purchase funnel, high-revenue system
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