Leadership in the Age of AI: Exploring the Shift from Classical Communication to Algorithm-Driven Dialogue in Corporate Settings

Abstract

This paper discusses the way artificial intelligence (AI) is changing the aspect of leadership communication that involved human-to-human communication to algorithm-to-algorithm communication within the organizational structures. Classical models assume that there are visible senders, channel stability and direct relational accountability. Modern-day organizations, by contrast, are becoming more dependent on algorithmic management systems, HR analytics, conversational agents, and large language models to compose, sift, customize, and direct internal messages. This study is a synthetic review of empirical literature in the Scopus index published within the past five years as a major (2015–2025). Two steps of selection strategy are the differentiation between studies that inform the conceptual backdrop, and core sample of 12 primary studies that are used as analytic data. The thematic synthesis sees five dynamics, namely AI-augmented leadership communication as an efficiency project; algorithmic gatekeeping that changes whose voices reach leaders; changing judgments of trust and fairness linked to AI-informed decisions; emotional and well-being costs linked to opaque, data-driven oversight; and enabling conditions of a constructive, algorithm-driven conversation. Through these themes, it is evident in the analysis that AI does not merely amplify or remove leadership, but it transforms it in a way of algorithmic stewardship. In the era of AI, leadership requires being transparent, ensuring the human voice channels are protected, and the Word having clear responsibility regarding organizational communication now produced by the system.