This study explores how Artificial Intelligence is reshaping managerial competencies in modern organizations. While much of the literature emphasizes technological capabilities, we adopt a human-centric perspective to map the evolving competencies, skills, knowledge, and responsibilities that managers must acquire to navigate the evolving technological landscape. The analysis is grounded in a Systematic Literature Review conducted in accordance with the PRISMA framework. A total of 92 peer-reviewed academic articles were examined using a hybrid methodology that combines Large Language Model-assisted content extraction with structured human coding. The resulting taxonomy groups these competencies into four macro-areas: (1) strategic and decision-making competencies, (2) technical and analytical skills, (3) ethical and legal regulatory knowledge, and (4) leadership and change management. Each category includes specific sub-competencies reflecting the complex, interdisciplinary nature of AI adoption. The findings reveal a predominance of studies focused on tertiary industries and a strong reliance on qualitative research designs. A fit score was applied to assess each contribution’s alignment with the review’s objectives. By mapping the evolving skillset required for AI readiness, the study offers both theoretical insights and practical orientation for managers, educators, and policymakers seeking to navigate digital transformation responsibly and effectively.