Due to a lack of training or trust in machine-assisted decision-making systems management staff, in particular, often find it difficult to translate AI-generated insights into strategic actions. This study explores Artificial Intelligence (AI) in enhancing strategic decisionmaking among management staff in selected firms in Delta State, Nigeria. Specifically, it investigates how predictive analytics influences competitive intelligence and how natural language processing (NLP) affects market analysis capabilities. Adopting a descriptive survey design, data were collected through structured questionnaires administered to 55 managementlevel staff across three firms, with 51 valid responses analysed. Descriptive statistics and Pearson Product-Moment Correlation Coefficient (PPMCC), executed using SPSS (Version 27), were used to evaluate relationships between the variables at a 5% significance level. Findings reveal a statistically significant, strong positive correlation between predictive analytics and competitive intelligence (r = 0.578, p < .001), and similarly between natural language processing and market analysis (r = 0.568, p < .001). These results underscore AI’s capacity to accelerate decisionmaking, improve analytical precision, and generate data-driven insights that align with the Knowledge-Based View (KBV) of the firm. The study concludes that AI technologies, when integrated strategically, can significantly elevate organizational performance. Recommendations include greater investment in diverse AI tools, implementation of ongoing staff training, and development of a cohesive AI infrastructure to optimize strategic decision-making outcomes.