Brief

Despite claims of multilingual capabilities, most AI systems primarily operate in English due to training data imbalances. Large language models are predominantly trained on English content, with studies indicating up to 90% of training tokens are English. This linguistic bias means AI often processes information through an English-centric lens, even when translating outputs, potentially overlooking cultural nuances and local contexts. Consequently, AI performance can be weaker and error rates higher in non-English languages, impacting its effectiveness in diverse global applications. AI