Kepemimpinan Berbasis AI: Cara Manajer Muda Memimpin Tim di Era Automasi 2026
DOI:
https://doi.org/10.55606/jupiman.v5i2.6078Keywords:
Artificial Intelligence-Based Leadership, Collaborative Leadership, Data-Driven Decision Making, Digital Literacy, Digital TransformationAbstract
This study investigates the adoption of artificial intelligence (AI)-based leadership practices among young managers in the context od accelerating automation and digital transformation. The increasing integration of artificial intelligence has fundamentally reshaped organizational processes, particularly in decision-making, task coordination, and team leadership, which are increasingly driven by data and digital technologies. This study aims to analyze how young managers adapt to artificial intelligence-drive environments and to examine its implications for leadership effectiviness. A qualitative approach was employed through a systematic literature review of peer-reviewed academic publications from the past five years. Data were collected from open-acces databases, focusing on key themes such as digital leadership, artificial intelligence integration, and managerial adaptation. The findings reveal that young managers demonstrate higher adaptability in leveraging artificial intelligence tools, as reflected in data-driven decision-making, collaborative leadership styles, and strong orientation toward innovation. Furthermore, artificial intelligence integration contributes to enhanced operational efficiency, improved decision accuracy, and better organizational performance. Nevertheless, several challenges persist, including ethical concerns, data security issues, uneven levels of digital literacy, and the risk of technological overdependence. These findings underscore the importance of balancing technological advancemenet with a human-centered leadership approach.
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