This study examines the future of artificial intelligence (AI) through the lens of “Large Language Models” (LLMs), focusing on their implications for linguistic diversity, multilingualism, and their impact on “Underrepresented Cultures”. It addresses cognitive and cultural biases affecting societies with limited digital presence. The paper investigates strategies to mitigate data disparities among languages and proposes various scenarios for the preservation of local cultures, languages, and their associated knowledge systems. Additionally, it evaluates options available to governments and policymakers in countries with underrepre-sented languages on the global AI landscape, which is currently dominated by intense competition between AI leaders in the United States and China. The paper concludes that fostering cooperation among underrepresented countries, through the collaborative development of large language models, integrated databases, and joint research initiatives, offers the most viable path forward for preserving shared cultural and linguistic heritage.