Artificial Intelligence in higher education is revolutionizing the way students interact with learning materials, academic tasks, and research. This study investigates the role, adoption, and perceived impact of AI tools such as intelligent tutoring systems, virtual assistants, and adaptive learning platforms among university students. Employing a quantitative research design, utilizing a large-scale survey to collect data from university students across different discipline. Descriptive statistics were used to identify trends by demographic categories including discipline and year of study. Inferential statistics, including regression analysis, were applied to examine the relationship between AI usage and academic outcomes such as achievement, engagement, and time management. Results revealed significant positive correlations between frequent AI use and improved academic performance. The study also identified key barriers to AI adoption, including limited technological access, low awareness of privacy concerns, and insufficient training. Finally, the research highlighted the ethical considerations of integrating AI in education and provided actionable insights for enhancing student learning experiences through effective AI implementation.