When AI burst onto the scene a couple of years ago, the debate centered mainly on one question — and one fear: will it replace workers? Today, the evidence shows the challenge is a different one. The real turning point is not replacement, but the ability of people and organizations to adapt to change.

A Microsoft Research study (2025), “Working with AI: Measuring the Occupational Implications of Generative AI”, found that AI, rather than replacing jobs, substitutes specific tasks within them. “The most common activities AI itself performs are providing information and assistance, writing, teaching and advising,” they note.

The paradigm, then, is a different one: AI is not destroying jobs, it is reconfiguring skills and roles, and just as in other technological revolutions, certain functions disappear while new ways of working emerge.

In this context, a new kind of professional literacy is taking hold, in which developing more subtle — and often invisible — skills makes it possible to work better with artificial intelligence, such as: formulating good questions or instructions (what is known as a prompt), the judgment to evaluate the results, and the discipline to validate information before using it.

The real risk, then, is no longer technological but competitive. Accumulated experience or technical knowledge is no longer enough. What matters more and more today is the ability to learn quickly, adapt to new tools and, above all, integrate artificial intelligence strategically into one’s work.

For organizations, this also poses a significant challenge in their hiring processes. Assessing talent today requires going beyond the résumé. It means understanding how candidates think, how they tackle problems and how they use — or don’t use — the tools available to improve their performance. In an environment where many can lean on AI, the differentiator remains profoundly human: judgment. Without judgment, AI amplifies mistakes; with judgment, it enhances talent.

Along these lines, a recent study by McKinsey & Company argues that “simply putting a new technology in people’s hands does not guarantee that they will use it effectively, nor does it profoundly change the way a company works.” For that reason, they say, leaders must adopt a new change-management approach that mobilizes their employees. “This is not a linear process. Change management in the age of generative AI requires employees to become active participants rather than mere users. It asks them to experiment, co-create products and commit to the continuous development of their skills.”

We understand that the discussion is not about whether AI thinks, but whether it can take part in processes of meaning-making, social coordination and communication.