Efficient artificial intelligence (AI) in gaming software optimizes development, improves user experiences, and increases industrial production, all of which contribute positively to economic development and technical advancement. Possible drawbacks include employment displacement, ethical problems, algorithmic biases, and excessive reliance on AI; everyone has an impact on society’s dynamics and principles. In this study, we proposed a novel method called Fine-Tuned Ring Toss Game Optimization Adaptive Artificial Neural Network (FRTGO-AANN) to improve user experience in game software, examine social implications to promote ethical growth, explore AI transformational significance in games, and shape new game-play. In this research, we employ a dataset of 250 video game projects. The collected data are undergoing feature extraction by using a Principal Component Analysis (PCA) method. We used a few parameters for our suggested and current approaches to analyze the research’s findings. Our proposed FRTGO-AANN method achieves superior results like accuracy (96.7 %), precision (92.5 %), F1-score (95.3 %), recall (90.6 %).AI in gaming software represents a game changer, transforming user experience, narrative intricacy, along with the world of virtual reality. It has a profound social influence, altering entertainment and promoting innovation, along with difficult ethical considerations.