The integration of Artificial Intelligence (AI) into history education marks a significant shift in teaching, learning, and assessment. This paper explores the evolution of history education from traditional reliance on primary sources and manual analysis to the adoption of AI technologies that enhance access and pedagogy. Tools like optical character recognition (OCR) for digitizing archives, natural language processing (NLP) for analysing historical data, and adaptive learning platforms for personalized teaching are revolutionizing how history is taught globally. These innovations democratize access to historical resources, offer immersive learning experiences, and streamline assessments with real-time, personalized feedback. However, the adoption of AI raises challenges, including algorithmic bias, over-reliance on technology, and potential erosion of critical thinking skills. Drawing on global and local examples, such as AI initiatives in Lagos State, Nigeria, this study highlights the importance of integrating AI thoughtfully with traditional methods. It recommends equipping educators with AI literacy, addressing infrastructure gaps, ensuring equitable access, and fostering collaboration among educators, technologists, and policymakers. These steps will ensure AI enhances history education while preserving its critical and interpretive foundations.