Abstract: As artificial intelligence becomes embedded in managerial workflows, leaders face a critical challenge: determining where algorithmic assistance enhances decision-making and where it undermines the human judgment that defines effective leadership. This article examines the boundary conditions for AI deployment in management contexts, drawing on organizational behavior research, decision science, and emerging practitioner evidence. We identify three domains where AI creates value—information synthesis, process acceleration, and perspective diversification—and contrast these with high-stakes contexts where human judgment remains irreplaceable: trust-building communication, values-based decisions, and relationship-intensive leadership work. Through evidence-based frameworks and cross-industry examples, we demonstrate how managers can deploy AI as a cognitive tool while preserving the discretionary judgment, emotional intelligence, and accountability that technology cannot replicate. The article concludes with practical guardrails for maintaining decision quality in AI-augmented management, emphasizing that leadership effectiveness in the algorithmic age depends less on adoption speed than on disciplined discernment about when technology serves and when it supplants human capability.
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