"Artificial Intelligence, with significant advancements in natural language processing and architectures such as Transformers, has emerged as a transformative force in language production. Adopting a qualitative approach and utilizing thematic analysis of secondary data—including peer-reviewed articles, books, and industry reports published between 2010 and 2023—this article examines the implications of AI-generated texts across three domains: literature, journalism, and strategic communication. The theoretical framework integrates perspectives from transhumanism and media ecology to simultaneously analyze human-machine collaborative creativity and the reconfiguration of communication systems. Findings reveal that AI possesses a dual identity: on the one hand, it disrupts and innovates traditional practices by enabling collaborative authorship, automating news reporting, and facilitating hyper-personalized marketing; on the other, it introduces significant ethical and practical challenges, including ambiguity in authorship and intellectual property, algorithmic bias, threats to public trust, and the proliferation of misinformation (including deepfake texts). Three cross-sectoral patterns—'the tension between efficiency and authenticity,' 'the dominance of hybrid human-AI collaboration,' and 'regulatory gaps'—underscore the necessity of a balanced approach that prioritizes the updating of legal and ethical frameworks, algorithmic transparency, and human oversight. The study concludes that the ultimate legacy of AI in language production depends not on the technology itself, but on how innovation is reconciled with accountability and human authenticity."