OICC Press Journal of New Trends in English Language Learning (JNTELL) 2821-2290 4 2025 10 19 Advancing English Language Education through Artificial Intelligence: A Review of Benefits and Challenges 10.57647/JNTELL.2025.si-01 EN Eko Risdianto Doctoral Program in Education, University of Bengkulu, Kota Bengkulu-38122, Indonesia Shaghayegh Shirzadi Eiman Narimani Marketing Management Co. L L.C., Dubai, UAE Neda Fatehi Rad Department of English Language, Ke.C, Islamic Azad University, Kerman, Iran https://orcid.org/0000-0003-1295-9078 Hamed Barjesteh Department of English Language, Am.C., Islamic Azad University, Amol, Iran https://orcid.org/0000-0002-4018-4487 Hossein Isaee 5Department of English Language and Literature, Am.C., Islamic Azad University, Amol, Iran https://orcid.org/0000-0002-9028-2907 Journal Article 2025 10 19 English functions as a dominant global language in sectors such as employment, commerce, tourism, communication, and international relations. Nevertheless, learners of English frequently encounter numerous obstacles in developing their language proficiency. Previous research indicates that artificial intelligence (AI) offers several benefits for enhancing English language teaching and learning (ELT/L). This paper addresses the need to explore both the specific advantages and difficulties associated with integrating AI into ELT/L. Employing a systematic review guided by PRISMA protocols, 42 relevant studies were identified. The results outline the geographical distribution of research, learner demographics, and publication timelines. Through grounded coding, the study highlights AI's contributions to improving speaking, writing, reading, pedagogical methods, and learner self-regulation. Conversely, challenges such as technical malfunctions, AI limitations, user apprehension, and the pressure to standardize language emerged. Stakeholders, including policymakers, funding bodies, educators, and administrators, can utilize these insights to obtain a comprehensive view of AI's evolving role in ELT/L. Practical recommendations are offered to inform future implementations of AI in this field.