For the first time, AI can support cultural understanding inside the work itself, at the moment it is needed. But an AI does not do this on its own.
Your AI reaches for the most-repeated etiquette and stereotypes, and tends to agree with whatever view the user brings it. It is fluent, confident, yet shallow.
That is one gap. The other is quieter. “Our AI already handles this” holds only for the cultural questions people think to ask — and most are never asked.
The friction gets read as personality or mood. Culture is not suspected. The AI looks fine because it is graded on the questions it gets, not the many it never sees.
Closing these gaps takes three things:
Cultural intelligence the AI can draw on, so it speaks from real analysis, not internet cliché. Instructions that make it notice culture when the user has not. And instructions that make it initiate a real conversation.
Those three come as two things you give your own AI: the intelligence, and the instructions. That is UC.
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