Generative Artificial Intelligence (GenAI) is reshaping the landscape of higher education, with growing applications in specialized fields such as sports management. This paper presents a systematic literature review (SLR) of 92 peer-reviewed studies published between 2019 and 2025, examining how GenAI tools—including ChatGPT, Bing Copilot, and Google Gemini—are being integrated into sports management education. The review synthesizes evidence across themes of curricular integration, industry readiness, and student perceptions, highlighting how GenAI supports authentic, data-rich learning experiences that bridge academic theory with professional practice. A small-scale pilot study in an undergraduate sports management course further illustrates potential benefits, with students using GenAI to conduct case studies and interpret sports analytics data, leading to improved project performance. While the findings point to significant educational value, the review also identifies gaps in empirical evaluation, large-scale implementation, and ethical integration frameworks. The paper concludes with recommendations for curriculum design, industry-academic collaboration, and future research to ensure that GenAI adoption in sports management education is both pedagogically effective and ethically responsible.