The fast growth of artificial intelligence (AI), especially large language models (LLMs) like ChatGPT, has dramatically reshaped the language usage, acquisition, and development in modern digital communities. The paper is an interdisciplinary synthesis of research to investigate the impact of AI-based applications, such as chatbots, machine translators, and machine writing aids, on linguistic practices in the domain of communication and education. Using meta-analytical research, corpus research and experimental research, the paper illuminates the dual nature of AI as a facilitator or regulator of language. The results suggest that AI-based interventions are found to be moderately to strong effective in second and foreign language acquisition, especially in vocabulary learning and speaking fluency, and the effect sizes were also provided in the recent meta-analyses. At the same time, AI mediated communication changes the linguistic nature, including sentiment, lexical difficulty, and interactional dynamics where the outcomes are frequently more positive and efficient in communication and the authenticity and trust issues are raised. Structurally, AI technologies affect the standardization of lexicon and the spread of majority language norms, especially English, but also provide a possible source of support to the maintenance of minority languages. The paper contends that AI is to be viewed as a socio-technical linguistic actor that codesigns meaning and redefines communicative standards. In this paper, I presented a consistent theoretical approach, which can be applied to the understanding of the impact of AI on language by piecing together disjointed strands of research and concentrating on the implication of AI to linguistic diversity, equity, and the future of the human communicative process.