AI models cost more when you don’t use English

A study by the Coalition for Language Equity in AI Research reveals that AI language models consume significantly more tokens processing less common languages than English, increasing costs and reducing efficiency for speakers of those languages. This 'tokenizer tax' creates disparities in AI accessibility and performance, especially affecting regions with limited compute resources.