THE IMPACT OF ARTIFICIAL INTELLIGENCE ON LANGUAGE EVOLUTION AND COMMUNICATION

Abstract

 This article investigates the multifaceted impact of artificial 
intelligence (AI) on language evolution and human communication patterns. 
Employing a systematic literature review methodology grounded in the IMRAD 
framework, the study synthesizes findings from 85 peer-reviewed sources 
published between 2015 and 2025 across the fields of computational linguistics, 
sociolinguistics, cognitive science, and human-computer interaction. The 
introduction contextualizes the unprecedented pace at which AI technologies 
particularly large language models (LLMs), machine translation systems, 
and AI-powered communication platforms are reshaping how languages are 
used, learned, and transformed. The materials and methods section details the 
systematic search strategy, inclusion criteria, and thematic analysis procedures 
employed. The results section presents findings organized around four thematic 
axes: (a) AI-driven lexical and syntactic innovation, (b) the impact of machine 
translation on cross-linguistic convergence and divergence, (c) transformations 
in pragmatic and discourse norms mediated by AI communication tools, and (d) 
implications for linguistic diversity and language endangerment. The discussion 
interprets these findings within broader theoretical frameworks of language 
change, critically evaluates the methodological limitations of the existing 
evidence base, and identifies priority directions for future research. The article 
concludes that AI constitutes a historically novel agent of language change 
whose influence on communicative practices is profound, accelerating, and 
insufficiently understood.