<p>This paper examines the evolving intersection between traditional Systematic Literature Reviews (SLRs) and artificial intelligence–powered tools, focusing specifically on Scopus AI’s application in the field of Responsible Management Education (RME). With the growing need for efficient yet rigorous literature synthesis, SLRs have become central to academic inquiry, particularly when guided by frameworks like PRISMA that emphasise transparency and replicability. However, the recent integration of AI tools, such as Scopus AI, introduces new opportunities and challenges for scholars. This study undertakes a comparative analysis of Scopus AI outputs against a benchmark SLR conducted by Russo et al. (Int J Manag Educ 21:100843, 2003), which reviewed the implementation of the Principles for Responsible Management Education (PRME) in business schools. While Scopus AI offers advantages in speed, scope, and conceptually plausible directions, the analysis reveals that it lacks the thematic granularity, contextual nuance, and theoretical reflexivity achieved through human-led processes. Notably, Scopus AI struggles to account for regional diversity and tends to generalise critical pedagogical or institutional barriers. In contrast, the SLR provides a more layered understanding of drivers, challenges, and impacts in RME. The paper argues for a hybrid approach that combines the exploratory power of AI tools with the interpretive strength of traditional methodologies. Practical and methodological implications are discussed, including the need for AI literacy among researchers, enhanced algorithmic transparency, and the development of standards for AI-augmented reviews. This study contributes to ongoing debates about responsible research practices in the digital age and offers guidance on balancing innovation with scholarly rigour.</p>