<p>Personal name avoidance, a cultural practice rooted in norms of hierarchy, respect, and taboo, shapes communication across diverse societies. As artificial intelligence (AI) communication tools such as chatbots, translation systems, and automated messaging platforms become integral to global interactions, their limited ability to accommodate these norms raises concerns about cultural sensitivity and bias. This theoretical study synthesizes sociolinguistic and AI research to examine how name avoidance in Vietnamese and English-speaking contexts challenges the recognition and adaptation capabilities of AI systems. It explores the feasibility of machine learning to enable adaptive naming behaviors and addresses ethical dilemmas in balancing global functionality with localized cultural norms. Findings highlight AI’s potential to foster culturally aware interactions while revealing persistent technical and ethical challenges, including risks of cultural homogenization. The study advocates for responsive AI design, emphasizing socio-linguistically informed datasets and user-configurable interfaces to ensure equitable communication in a globalized world. Future empirical research is recommended to validate these insights.</p>