This study examines the development of English for Specific Purposes (ESP) education in Korea and the emerging role of artificial intelligence (AI) within this context. Three datasets were analyzed to provide a comprehensive perspective: 890 international ESP articles and 30 Korean ESP studies to identify research trends; 1,386 AI-assisted English Language Teaching (ELT) studies—1,021 international and 365 domestic—to compare AI applications in general English and ESP education; and a subset of 340 AI-ESP studies (332 international, 8 domestic) to explore their intersection. The findings reveal that international ESP research has evolved toward genre-based writing instruction, corpus-informed pedagogy, and teacher identity, whereas Korean ESP studies remain focused on occupational English (e.g., nursing, military) with limited discourse-based approaches. AI integration in ELT is rapidly expanding for personalized learning, feedback, and automated assessment, yet remains underexplored in Korean ESP contexts. The study calls for interdisciplinary, pedagogically grounded, and ethically informed integration of AI in future ESP education.