Evaluates source. This article is important as it explores the potential effects of AI and automation on job satisfaction and productivity in the business industry. The authors conducted a comprehensive analysis of 62 international journals from various fields through a systematic literature review. The resource-based view (RBV) was used as a theoretical framework to examine AI-driven HRM as a potential source of organizational capabilities. The article focuses on four principal areas of concern in AI-driven HRM: job design, transparency, performance, and data ambiguity. These factors can affect job satisfaction and productivity in the business sector. Consider, for instance, the utilization of AI systems to oversee and evaluate employee performance. Although there are potential benefits to be gained from this, there are also legitimate concerns regarding privacy and fairness that may affect job satisfaction. Nevertheless, if AI leads to job displacement or makes employees feel that their skills are no longer valuable, it could potentially harm job satisfaction and productivity. This article is significant to the research because it highlights the importance of examining the impact