A survey conducted by SAS last year pointed out that Brazil occupies the 11th position in the world ranking of adopting general artificial intelligence. The data reveals a growing technological maturity, but also raises an important question: we are, in fact, understanding what it means to live in the age of companies AI-First?
The term became Buzzword in performances by executive, trend reports and marketing campaigns. But what really means to be a company AI-First? Just adopt AI tools? Or are we facing a deeper and more structural transformation?
To be AI-First It is not putting a chatbot on the company’s website. Nor is it to automate processes with ready -made platforms. To be AI-First It is first and foremost a change of mindset. It is recognizing that artificial intelligence is not a technological accessory, but a competitive engine that must be at the center of the organization’s strategic decisions.
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This is why, when it comes to artificial intelligence, several companies want to be, but few are in fact that are willing to do much more than just generating images or texts by ChatgPT. To be AI-First It means including AI in the center – from marketing service, from product ideation to financial.
The difference between using IA and being AI-First
Many companies already use it on time: to predict demand, recommend products or speed up service. But that is still to think with the logic of Ai. Ie we use it also – If you give, where you can, when it is convenient.
O AI-Firston the other hand, it starts with a different question: How can AI redesign this product, service or operation from the beginning? And this question requires technology, business and strategy teams to feel at the start from the beginning, rethinking flows, metrics and deliveries based on what the algorithms allow today.
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IA como core business
Companies AI-First They do not see AI as a support. They treat it as the core of the business. Spotify, for example, is not just a music platform – it’s a recommendation mechanism. Tesla is not just an automaker – it is a data company that learns in real time from its cars.
And the most interesting: many of these companies started small, but they climbed precisely because they were AI-First From birth. The challenge now is: How can it, with more traditional structures, can migrate to this new model?
AI-First in Brazil: Reality or BuzzWord?
Open tools, affordable APIs, pre-training models, and low-code/nocode platforms toppled input barriers. But the cat jump remains strategic: where to use, why use, with what purpose and how to measure value?
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In the Brazilian scenario, we still see many companies at the stage of AI-Curious. They try it here and there, do pocs (proof of concept), but they still do not integrate the AI with the core of decisions. The good news? It has never been so accessible to start.
