This study responds to the revolutionary impact of artificial intelligence (AI) on corporate management strategic decision-making. It is informed by the grand research question: How does AI reshape the landscape of strategic decision-making in organizational environments and with what consequences for managerial performance, moral responsibility, and competitive edge? Utilizing a qualitative research methodology that combines intensive literature reviews with exemplar corporate examples of companies such as Amazon, Netflix, and IBM, the study highlights how AI technologies—diverse ranging from machine learning and predictive analytics to natural language processing—are seeking entry points within corporate functions for the purpose of enhancing efficiency, responsiveness, and strategic acuity. The study shows that AI significantly improves the speed, accuracy, and agility of managerial decision-making, enabling more data-driven decision-making processes and competitive strategy. However, there are also limitations in the form of algorithmic bias, opacity of decision-making, overdependence on automation, and disruption to traditional workforce dynamics. These limitations speak to the imperative of injecting strong human governance, moral checks and balances, and organizational change management paradigms into AI implementation. To meet these complexities, the paper suggests a hybrid decision-making model that balances the computational capacities of AI with human judgment, imagination, and ethical acumen. It also suggests investments in AI literacy, ethical infrastructures, strategic alignment, and cross-sector collaboration to ensure that organizations use AI responsibly while maintaining long-term competitiveness and organizational values.
Njuru et al. (2025) studied this question.