Unveiling the Role of AI-Driven Linguistic Technologies in Digital Transformation

A Meta-Synthesis Study

Abstract

The ongoing digital transformation is increasingly propelled by the integration of Artificial Intelligence (AI) and linguistic technologies, which enhance communication efficiency, information accessibility, and global connectivity. This study aims to critically examine how AI-based linguistic technologies support digital transformation by employing a qualitative meta-synthesis approach. A total of 25 peer-reviewed articles published between 2020 and 2025, indexed in Scopus and other reputable databases, were systematically selected based on relevance, methodological quality, and thematic alignment. Thematic synthesis revealed that AI-driven linguistic technologies significantly contribute to (1) improving digital communication efficiency, (2) expanding multilingual accessibility, (3) enabling data-driven industrial innovation, (4) fostering inclusive digital ecosystems, and (5) integrating Technology and Ethics for Sustainable Transformation. Unlike previous reviews that primarily emphasize technical advancements, this study highlights the socio-ethical dimensions of AI-linguistics, including linguistic bias, data privacy, and unequal access to technology across regions. By integrating both technological and ethical perspectives, this research proposes a novel conceptual framework illustrating how AI-linguistic systems can act as catalysts for ethical and inclusive digital transformation. The findings underscore the urgency of policy development to ensure linguistic fairness, safeguard privacy, and promote equitable access to AI technologies, thereby bridging the gap between innovation and societal well-being.