A Comparative Study Between Team Decision Making and AI Decision Making: Implications for the Future

Abstract

Artificial Intelligence has broad implications for humanity, and therefore vital for educational institutions to equip learners with the skills to navigate careers. The paper synthesises research on traditional and new tools for decision-making and presents implications that the future of AI holds for leaders and developed economies. The overall objective is to draw a comparison between traditional decision making and AI decision making in organisations. A total of 200 managers participated in the quantitative study. The results show that traditional decision making was preferred over AI decision making as it scored a higher mean value. The results of a multiple regression test also revealed that with the increase of the perceived threat of AI, managers’ willingness to use AI increased. Given the circumstances that learning AI skills could advance a manager’s career, then it led them to use AI. The implications of these results inform employers’ strategic plans to implement learning and development initiatives while also informing governments about their impact on policymaking. Human resources traditionally used compensation and rewards to motivate employees in a change process. However, improving career prospects through the adoption of AI can create a favourable environment where the organisation can reap the benefits of AI and employees’ development.