Artificial intelligence is no longer a distant prospect for organizations — it is an immediate operational reality reshaping how leaders lead and how employees experience work. Yet, the body of scholarship addressing leadership styles, emotional intelligence, and employee behavior within AI-mediated workplaces remains fragmented across disciplines and heavily skewed toward Western organizational contexts. This paper presents a systematic literature review, integrated with bibliometric analysis, of peer-reviewed studies indexed in Scopus from 2020 to 2026. Drawing on publications retrieved through a structured PRISMA-guided selection process, the review maps intellectual trends, influential journals, leading countries, and emerging thematic clusters in this growing field. The findings reveal that while transformational leadership, algorithmic management, and emotional intelligence each attract substantial scholarly attention independently, their integration within AI-enabled organizational settings remains underexplored. The United States, China, India, and the United Kingdom are the primary contributors, though their research emphases differ markedly: Western scholarship leans toward human-centric and psychological dimensions, while Asian-origin research tends to foreground efficiency, performance analytics, and digital transformation. The review identifies three persistent gaps — limited cross-disciplinary integration, the near-absence of qualitative and longitudinal research, and insufficient attention to emerging economies and non-Western socio-cultural contexts. The paper concludes with a theoretically grounded research agenda that calls for culturally sensitive, ethically informed, and methodologically diverse inquiry into how human leadership and emotional intelligence can coexist with, and effectively govern, algorithmic systems in contemporary workplaces.