AI just crossed a massive milestone & almost no one is talking about how big this is.
Meta dropped Omnilingual ASR, a speech model that supports 1,600+ languages.
To put that into perspective:
OpenAI’s Whisper handles 99 languages.
Meta’s model supports 500 languages that AI has never touched before.
What does this mean?
With roughly 7,000 languages spoken globally, most AI tools work with maybe 1% of them.
Now we’re suddenly closer to 25% with Omnilingual ASR.
This means billions of people, literally billions, can interact with AI in their native language today, not “someday.”
And here’s what this means for enterprises.
AI is rapidly moving beyond English-first design.
Products, workflows, and adoption strategies now have to account for multilingual users, culturally diverse markets, and teams spread across regions.
At MadMonk AI, we’re already thinking about how language expansion reshapes:
→ AI adoption in emerging markets
→ Customer experience in multilingual regions
→ Voice interfaces for global teams
→ Enterprise workflows that no longer need translation layers
When AI starts hearing everyone, leaders need strategies that include everyone.
If you want to prepare your AI roadmap for a world where language is no longer a barrier, DM me.
