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Artificial intelligence can analyse large amounts of information, detect patterns and accelerate research. But recognising patterns is not the same as understanding a culture.
A culture is also built through shared references, experiences, emotions, irony, historical context and implicit meanings. And those nuances can completely change the way a brand, a name or a message is perceived in another market.
That is why the value does not lie in choosing between AI and human knowledge, but in combining both. AI expands possibilities; research provides evidence; local experts provide context; and judgement transforms all of that into better decisions.
In international branding, the challenge is no longer to generate more information. It is to interpret it better.
Since the rise of large language models, one of the most frequently repeated questions in branding, marketing and research seems simple: can artificial intelligence really understand culture?
The question is fascinating because, in a way, the answer is yes and, at the same time, no.
The key is to understand that recognising patterns is not necessarily the same as understanding, just as interpreting a culture is not simply a matter of processing information about it.
Perhaps the question is not whether AI can understand a culture
Perhaps the more interesting question is not “can AI understand a culture?”, but rather: what does it really mean to understand a culture?
Human beings do not understand a society through data alone either. We understand it through experiences, emotions, shared references, memories, contradictions, symbols, irony, historical contexts and implicit meanings.
And that is precisely where the issue becomes much more complex.
What AI does extraordinarily well
Artificial intelligence is impressive and can bring enormous value to analysis. It can:
- synthesise enormous amounts of information;
- detect patterns;
- compare scenarios;
- identify trends;
- generate hypotheses;
- explore alternatives;
- accelerate research.
In many respects, AI can analyse far more knowledge than a person could process alone. That makes it an extraordinarily powerful tool.
The point, then, is not to deny its capabilities, but to understand what kind of knowledge it can contribute and where interpretation is still necessary.
Recognising patterns is not the same as understanding
AI works on correlations; human beings live meanings.
An AI system may know that certain words generate negative associations, but it does not experience those associations. It may identify that an expression is humorous, but it does not laugh. It may recognise cultural references, but it has not grown up within them.
And that difference is much more important than it may seem when decisions affect a brand, its perception or the way it wants to relate to a market.
Context changes meaning
Culture is deeply contextual. The same word can change meaning completely depending on:
- the region;
- the generation;
- social class;
- tone;
- the historical moment;
- the product category;
- or even the person you are speaking to.
This explains why something that appears linguistically correct may feel strange or unconvincing from a cultural point of view.
Culture is not static either
Another challenge adds to this complexity: cultures are constantly evolving. References, symbols, generational codes, sensitivities and expressions all change.
What seems modern today may sound outdated in a few years’ time. And what is acceptable today may acquire new connotations.
These transformations are extraordinarily difficult to model because culture is not a closed system, nor does it stand still.
Humour, irony and implicit meanings
Some of the most complex dimensions of language are also the most human: irony, sarcasm, double meanings, silences, shared references, taboos, inside jokes and emotions.
These are precisely the elements that make cultures so difficult to translate and, at the same time, so fascinating.
It is not always enough to formally recognise that a sentence contains humour or a reference. The challenge is also to interpret what it means in that context and how it will be perceived by those who are part of it.
What AI still does not experience
Artificial intelligence can process information about a society, but it does not belong to a generation, it has no childhood memories, it has not lived through a political context, it does not share a collective history and it does not feel cultural nostalgia, pride or shame.
This may sound like a philosophical distinction, but it has very practical consequences.
Brands are built precisely on shared meanings, and those meanings do not exist solely as information available to be processed.
AI, Brand Name Surveys and local experts: a complementary relationship
None of this means that artificial intelligence is insufficient. On the contrary. The point is not to choose between using AI or turning to research and human knowledge.
We believe the most powerful combination is the one that brings together:
- artificial intelligence;
- structured research;
- Brand Name Surveys;
- local experts;
- and strategic thinking.
AI can expand possibilities. Experts provide context. Research provides evidence. And interpretation transforms that information into decisions.
So it is not a matter of choosing between humans and machines. It is a matter of combining intelligences.
The future will not be human or AI
Over the next few years, we will see many discussions about substitution. However, the more relevant issue will probably be something else.
Competitive advantage will not come from choosing between human intelligence and artificial intelligence. It will come from the ability to combine them.
Because the more accessible tools become, the scarcer something much harder to automate becomes: judgement.
Generating information, alternatives or hypotheses will become easier and easier. The difference will lie in knowing what that information means, how to interpret it and what decision to make on that basis.
The LVS2 perspective
At LVS2, we see artificial intelligence as an extraordinary support tool, not as a substitute for cultural context, research or strategic thinking.
That is why we combine:
- AI;
- Brand Name Surveys;
- local knowledge;
- and an international network of collaborators and experts;
to help organisations operating across Europe, Asia and Latin America make more informed decisions and reduce uncertainty.
The value does not lie only in using a tool capable of generating more information or more alternatives. The challenge is no longer to generate more ideas. The challenge is to interpret them better.
Conclusion
Artificial intelligence can learn patterns, recognise relationships and help us explore possibilities. But understanding a culture is something much more complex.
Cultures are not simply information. They are shared experiences.
And that is probably one of the reasons why, even in the age of AI, context, interpretation and judgement will remain deeply human.
Frequently asked questions
Why is cultural context important for a brand?
Because the same message can be perceived differently depending on the market, the generation or the context.
Can AI replace local experts or Brand Name Surveys?
No. AI complements analysis, but experts and research provide context and evidence.
What role can AI play in international branding?
It can accelerate analysis, generate hypotheses and explore alternatives, especially when combined with local knowledge and strategic judgement.
Are you exploring international projects or branding processes where culture, perception and artificial intelligence intersect?
At LVS2, we help organisations combine technology, research and local knowledge to make stronger decisions across Europe, Asia and Latin America.
