Artificial Intelligence (AI) has grown as a changing force in the field of education, redefining learning, teaching methodologies, and pupils’ engagement. The study assesses the role of AI in the education paradigm shift among future-generation learners using secondary data sources. This study adopts a systematic literature analysis blended with a bibliometric potential to analyze presently available scholarly articles, institutional reports, and global educational trends. The themes of this study include personalized learning, intelligent tutoring systems, automated assessment, and student opinion of AI-based tools. Findings of the current study revealed that AI improves learning efficiency, accessibility, and personalization. The study also found that AI in education poses challenges such as ethical issues, data privacy, and digital inequality. Finally, the study concludes that AI has tremendous potential to transform the future of education, but only if the educational institutes and universities tackle the technological and ethical constraints. The research makes learning more adaptable and provides students with guidance that aligns with their individual academic needs by integrating global perspectives and proposing future research objectives.