In the past, strategic control was regarded as a human-centered activity, heavily reliant on human judgment, experience, and intelligence. However, with the emergence of artificial intelligence-particularly in areas such as machine learning, predictive analytics, and natural language processing-we are witnessing a shift in strategic control practices towards automated and algorithm-driven systems. This paper systematically reviews articles published in the last four years concerning the role of artificial intelligence in strategic control. A search and retrieval of studies from six reputable databases identified 1,050 articles, which were screened based on exclusion criteria. Ultimately, 130 articles were selected for the review, of which 47 were relevant to the literature on the role of artificial intelligence in strategic control. The findings indicate that artificial intelligence significantly enhances decision-making processes by providing data-driven insights, predictive modeling, and scenario planning. Furthermore, AI automates routine tasks such as performance monitoring and reporting, freeing human resources for more complex strategic functions. The challenges of integrating AI into strategic control include the need for high-quality data, technical expertise, and the development of new organizational structures to accommodate AI-driven processes. Additionally, ethical concerns such as bias in AI algorithms and the lack of transparency and accountability in AI decision-making must be addressed. This paper emphasizes the importance of developing robust data management systems, reskilling employees, and implementing ethical frameworks to ensure that AI complements rather than replaces human intelligence. Consequently, AI has the potential to transform the field of strategic control by enhancing decision-making, automating key processes, and providing predictive insights.