This paper explores the concept of AI-powered Learning Analytics as an inevitable application in the field of education. With the increasing availability of educational data and advancements in artificial intelligence, the integration of AI-powered Learning Analytics has become a transformative approach to gain actionable insights and improve teaching and learning outcomes. The paper discusses the key components of AI-powered Learning Analytics, including data collection, processing, analysis, and visualization. It highlights the benefits of leveraging AI in educational data analysis, such as personalized instruction, early identification of struggling students, and predictive modelling for student performance. Furthermore, the paper addresses ethical considerations, including data privacy, security, and algorithmic bias, emphasizing the importance of responsible use of AI-powered Learning Analytics. By embracing this inevitable application, educators can harness the power of AI to make data-informed decisions, enhance the educational experience, and foster improved outcomes for learners