In the age of AI, leadership becomes a differentiator and depends on data and team management

Artificial intelligence is already part of the routine of many companies, and with it an old question returns: what defines a good leader? According to Exame, the answer involves a set of skills capable of separating the manager who only manages from the strategist who guides the organization. The title of the report speaks of X skills, but the exact number was not reported in the data available for this article.

The starting point is simple. When tools automate part of the operational tasks, the value of those who work tends to migrate to judgment, that is, to choosing the right problem, interpreting information and coordinating people. It is in this shift that leadership gains weight, not only as a position, but as the ability to transform technology into results.

Among the areas cited by Exame, two stand out: data analysis and team management. According to the publication, these are skills required by the use of AI, which suggests that sophisticated tools do not dispense with those who know how to ask good questions of the database and guide people towards a decision.

The report also states that these skills influence decisions and results within companies. In other words, the debate is not restricted to professional development. It arrives at the table of those who define budget, priorities and how the organization responds to changes.

From a liberal point of view, the topic touches on productivity and merit. Companies that reward those who learn to use technology judiciously tend to compete better than those that treat AI merely as a license purchase. It is worth separating what is determined from what is interpretation: the article does not contain numbers that prove this effect.

For readers who follow balance sheets and investment theses, the central message is that the quality of management counts. It does not always appear explicitly in the statements, but it manifests itself in investment decisions, hiring and the way the company reacts to new tools.

What changes for the investor

The thesis that leadership and the use of AI go hand in hand still depends on evidence that the report does not present. If this is confirmed, companies with teams that are more prepared to make decisions based on data may show more consistent execution, which tends to weigh on long-term evaluations. The effect for investors would be indirect and barely visible in the short term, with attention falling on governance, manager training and the ability to transform tools into operational gains. This analysis does not indicate assets or predict price movements.

Automatically translated from Portuguese.