The integration of Artificial Intelligence (AI) in education has catalyzed transformative changes, especially in the processes of curriculum benchmarking and gap analysis. These processes are essential for ensuring that academic curricula align with industry standards, global educational frameworks, and the dynamic needs of learners. Traditionally, curriculum benchmarking and gap analysis were manual, time-intensive, and often subjective undertakings. However, with the advent of AI-powered tools, institutions now have access to more accurate, data-driven, and scalable solutions for evaluating and improving academic programs. AI's role in curriculum benchmarking begins with its ability to analyze vast datasets—including national and international educational standards, industry requirements, academic performance indicators, job market trends, and curricular documents from peer institutions. Natural Language Processing (NLP), a subdomain of AI, allows systems to interpret, compare, and map learning outcomes, competencies, and syllabi content against global benchmarks.