AI in marketing: from productivity to strategic thinking

Over the past few years, business discourse on artificial intelligence has revolved almost obsessively around its capacity to automate tasks, reduce costs, and increase operational efficiency. It's a comfortable, pragmatic narrative that fits well with short-term logic. However, it's also a limited view, which risks placing organisations in a conservative position, just when The true differential value of AI is beginning to emerge: its capacity to expand strategic thinking. 

Because AI doesn't just do things; it “thinks” with us. Or, rather, it forces us to think in a different way. 

In the daily work of an agency, we are already observing how AI is beginning to alter traditional ways of designing strategy. For example, when defining brand positioning in emerging sectors, the process no longer relies solely on the usual competitor analyses or perception surveys. Generative models are being incorporated that can track large volumes of weak signals: academic publications, specialised forums, social media conversations, technical reports, or industry papers. From the intersection of these sources, nascent patterns emerge that allow for the anticipation of market movements before they become fully consolidated.

Something similar happens when a client approaches international expansion or repositioning into new segments. Teams no longer work solely with classic risk matrices, but rather Initiate multifactorial scenarios where AI helps to weigh regulatory, social, cultural, or reputational variables in a more integrated way. It's not about obtaining certainties, but about reducing the scope of the purely speculative. 

Even in internal ideation dynamics, AI is beginning to play a relevant role. In processes of defining brand territories or exploring new business models, generative systems function as a creative co-processor. They often don't offer closed answers, but rather pose angles or provocations that would not otherwise have emerged. It's not so much that the machine replaces thought, but rather that Strengthens and expands the cognitive framework of teams. 

All of this, of course, requires a change in mindset from those directing these processes. The key is not in having access to increasingly sophisticated tools, but in develop the criteria to know how to interpret them, question them, and govern them. Artificial intelligence does not solve strategic dilemmas; it makes them more transparent. Whoever knows how to live with this increased complexity will have an advantage. 

The real competitive leap will not be in the companies that automate more tasks, but in those that manage to think better. And for that, AI is no longer just a technical resource, it's a cognitive interlocutor.