This research examines the challenges and opportunities offered by AI in education, more specifically in terms of English Language Learning (ELL). Using qualitative research methods, a combination of document analysis and expert interviews, the paper uncovers some key themes in AI in language education. This research underlines the grey areas of AI in ELL, as it can contribute a lot in personalized learning but also embed some digital divide problems or must be balanced with conventional methods. Our analysis yielded four major themes: personalization, access and digital divide, over-dependence on technology, and educator growth. The most prevalent theme was personalization, highlighting the ability of AI to customize learning experiences for individual learners. Nonetheless, this advantage is offset by the issue of fair access to AI tools and the danger of excessive reliance on technology. The research looks at different AI tools such as Intelligent Tutoring Systems, Personalized Learning Platforms, and Chatbots and Natural Language Processing NDLR tools and discusses the advantages and disadvantages of using these popular forms of Academic Librarianship-Informed language learning TA in language learning contexts. The implications highlight the importance of a balanced strategy in AI deployment, one that leverages its benefits while minimizing potential harm. The paper ends with implications for policymakers and educators on how to use AI technology responsibly in language education. They include creating clear ethical frameworks, providing fair access to AI tools for all students, supporting continuous professional development of teachers, and long-term studies to investigate the lasting impact of AI on language learning. This analysis serves as inspiration for the future of language education with AI.