The adoption of artificial intelligence (AI) in management education has rapidly increased in the last ten years, but the synthesis of its effects on the development of communication skills is not yet found in the literature. This systematic review follows the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) framework and includes 30 peer-reviewed articles that were published between 2015 and 2025 and were identified in Google Scholar, Scopus, and Web of Science. The review will answer three key questions: (a) how AI-enhanced tools are implemented in the management education setting, (b) what is the role of the emerging technologies in the task of shaping communication skills in business students, and (c) how AI-driven interventions can be used to generate better employability outcomes. Thematic synthesis revealed four main areas: adoption of AI in management education, development of communication skills with AI, adaptive and individualised ecosystems of learning, and AI-related employability outcomes. Research has shown that conversational agent, natural language processing (NLP) applications, intelligent tutoring systems (ITS), virtual reality (VR) simulators, and generative AI are changing the process of acquiring verbal, written and interpersonal communication skills by MBA and post graduate management students. Although there is always evidence of better learner outcomes, there are still ones of great gaps in terms of longitudinal effectiveness, ethical governance, institutional preparedness, and faculty integration. The review adds to the systematic evidence base to inform curriculum designers, institutional leaders, and researchers aiming to use AI in management communication pedagogy in a responsible manner.