WorkThe story, in brief
AI’s Dirty Secret: It Mostly Speaks English
Nobody is talking about this: 95% of AI models are English-optimized. Your non-English market just became a competitive moat.
The KeyNews take
Why it matters
AI's language bias is a systemic issue affecting global deployment and market access. Leaders need to understand that multilingual capability is not a feature—it's a strategic liability for expansion into non-English markets.
The key facts
4 to knowAI models predominantly trained and optimized for English
Multilingual intelligence requires training, evaluation, and optimization across languages from the outset
Language bias creates market access barriers for non-English speaking regions
Published May 2026 - signals growing awareness of AI localization gaps
Go to the source
Forbes Innovationforbes.com
Publisher excerpt: True multilingual intelligence requires models that are trained, evaluated and optimized across languages and cultures from the outset.