This systematic review explores the transformative potential of Artificial Intelligence (AI) in STEEAM higher education. It synthesises existing research to provide a comprehensive understanding of AI-driven teaching and learning, highlighting opportunities for personalised learning, efficiency, and data-driven insights. The review addresses challenges like bias and privacy concerns, and offers a conceptual framework for understanding AI’s role in STEEAM education. It investigates AI’s impact on student learning outcomes, engagement, and success rates, and explores its effect on teaching methodologies, curriculum design, and institutional strategies. The review aims to inform the strategic integration of AI in STEEAM higher education, promoting tailored pedagogical experiences that harness AI’s potential while mitigating its risks. In the South African context, AI integration could revolutionise the learning environment, improve academic performance, and prepare students for the Fourth Industrial Revolution (4IR). However, challenges like student preparedness, large class sizes, and inadequate curriculum design must be addressed. Policies, training programmes, and curriculum adaptations are essential for successful AI integration. By harnessing AI’s power, higher education institutions can improve service quality, administrative operations, and student learning outcomes.