The English-Only Bottleneck: How AI Leaves Billions Behind

Over 92% of training data in leading LLMs is English, leaving billions of non-English speakers with degraded AI experiences. While industry headlines celebrate 'human-level performance,' that achievement is measured almost exclusively on English benchmarks—creating a dangerous blind spot where AI development is optimized for a linguistic minority. This bias doesn't reflect technical limitations but broken priorities, making it a defining equity challenge for the AI era.