The Changing Role of the English Language in the Age of Artificial Intelligence
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Abstract
This academic article aims to analyze the evolving role of English in the era of Artificial Intelligence (AI), where advanced technologies significantly influence the learning and use of English worldwide. Traditionally, English has served as a lingua franca and global language in business, academia, and intercultural communication. However, the emergence of Natural Language Processing (NLP), real-time translation, and academic writing tools such as Grammarly, Quillbot, and ChatGPT has reshaped the landscape of English language education, intercultural communication, and professional practices. This academic article discusses both the opportunities and challenges arising from these changes, including ethical concerns, technological inequalities, reliability and bias in AI-generated content, and the need for curriculum reforms that integrate AI literacy with English literacy. Findings suggest that English remains highly significant, yet its role is shifting from being “a mandatory global language” to “a complementary language used alongside AI” to enhance efficiency, credibility, and access to global knowledge.
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References
Abrar-ul-Hassan, S. (2021). Linguistic capital in the university and the hegemony of English: Medieval origins and future directions. SAGE Open Journal, 11(2), 1-11.
Al-khresheh, M. H. (2024). The future of artificial intelligence in English language teaching: Pros and cons of ChatGPT implementation through a systematic review. Language Teaching Research Quarterly, 43(1), 54–80.
Anderson, J., Galpin, A., and Juzek, T. (2025). AI-mediated communication and the redefinition of linguistic norms. Journal of Language and Technology Studies, 18(2), 55–71.
Bender, E. M., Gebru, T., McMillan-Major, A., and Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610–623). Association for Computing Machinery.
Bourdieu, P. (1991). Language and symbolic power. Harvard University Press.
Canale, M., and Swain, M. (1980). Theoretical bases of communicative approaches to second language teaching and testing. Applied Linguistics, 1(1), 1–47.
Chalhoub-Deville, M., & Turner, C. E. (2000). What to look for in ESL assessment. TESOL Journal, 9(4), 4–9.
Chiu, T. K. F., Lim, C. P., & Hung, D. (2025). Encouraging human–AI collaboration in interactive learning environments: Teacher transitions from content deliverer to facilitator. Interactive Learning
Environments, 33(2), 921–924.
Coleman, J. A. (2010). English in the other European communities. TESOL Quarterly, 44(3), 507–531.
Cotton, D.R., Cotton, P.A. and Shipway, J.R. (2024) Chatting and Cheating: Ensuring Academic Integrity in the Era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228-239.
Crystal, D. (2003). English as a global language (2nd ed.). Cambridge University Press.
Duolingo. (2023, October 16). Duolingo Max powered by GPT-4: A new way to learn. https://blog.duolingo.com.
Garcia, I., and Pena, M. I. (2021). Neural machine translation and post-editing practices: Efficiency and ethics. Translation and Interpreting Studies, 16(2), 245–262.
Holliday, A. (2006). Native-speakerism. ELT Journal, 60(4), 385–387.
Hu, G. (2002). Potential cultural resistance to pedagogical imports: The case of communicative language teaching in China. Language, Culture and Curriculum, 15(2), 93–105.
Jenkins, J. (2015). Global Englishes: A resource book for students (3rd ed.). Routledge.
Jurafsky, D., and Martin, J. H. (2023). Speech and language processing (3rd ed.). Draft version. Stanford University.
Lee, J., and Warschauer, M. (2022). The role of artificial intelligence in second language learning and teaching. Language Teaching Research, 26(4), 643–662.
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Association for Computing Machinery.
Moder, C. L., and Halleck, G. B. (2009). English in aviation: The role of language in a global industry. World Englishes, 28(3), 305–324.
Montgomery, S. L. (2013). Does science need a global language? English and the future of research. University of Chicago Press.
Ng, W. (2021). Conceptualising digital literacy in the context of educational technology. Springer.
Phillipson, R. (1992). Linguistic imperialism. Oxford University Press.
Richards, J. C., & Rodgers, T. S. (2014). Approaches and methods in language teaching (3rd ed). Cambridge University Press.
UNESCO. (2023). AI and education: Guidance for policy-makers. UNESCO Publishing.
van Dijk, J. (2020). The digital divide. Polity Press.
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 6(14), 1261955.
Wu, Y., Schuster, M., Chen, Z., et al. (2016, September 26). Google’s neural machine translationsystem: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144.
Yakura, H., Sato, S., & Shibata, T. (2024). Human–AI co-writing and linguistic style transformation. Computers and Composition, 67(2024), 102786.
