Monetization of AI-Driven Single-Player Games

Abstract

In recent years, artificial intelligence has significantly reshaped the landscape of video game development, especially in the realm of single-player experiences. A study was conducted to examine how monetization strategies can be adapted for AI-driven, ever-changing single-player games. The objective was to explore sustainable business models that align with the dynamic nature of AI-enhanced gameplay and evolving player expectations. The research was implemented through qualitative methods, primarily by conducting two expert interviews with individuals representing different sectors of the game industry one a veteran designer with experience in AAA and indie development, and the other a co-founder of a successful indie game studio. Thematic analysis was used to synthesize the findings. The results indicated a growing demand for monetization models that support continuous content delivery, with subscription-based and hybrid models emerging as viable options. Interviewees emphasized the im portance of player trust, ethical data use, and transparency, particularly as AI systems become more em bedded in gameplay personalization. Challenges such as AI scalability, maintenance costs, and the risk of exploitative microtransactions were highlighted. It was concluded that sustainable monetization in AI-driven single-player games requires innovation not only in design but also in business practices. Developers were encouraged to adopt flexible, player-centric models that reflect the unique, evolving nature of AI-powered gameplay while maintaining ethical stand ards and transparency.