This research explores the rise of algorithmic leadership, a management style where computational systems and AI perform roles traditionally held by human managers. While these systems offer immense operational efficiency and scalability, they often lead to dehumanization by treating workers as data points and eroding their professional autonomy. To counter these negative effects, the research proposes a human-centered framework that prioritizes transparency, ethical governance, and the preservation of individual dignity. This approach advocates for augmentation rather than total replacement, positioning algorithms as collaborative tools that support human judgment. Ultimately, the research argues that sustainable success in the digital age requires balancing computational power with human-centric values to prevent a deficit in workforce trust and well-being.

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