Can executives without command of artificial intelligence lose space in the job market?

Exame raises a question that directly affects those in leadership positions: can executives without knowledge of artificial intelligence lose space in the job market? The question gains relevance because many companies already use AI in their daily lives. The material collected, however, does not conclusively answer the question, which requires separating what is established from what is still a hypothesis.

The central point of the report is that leadership does not require becoming a programmer. According to Exame, an executive can run a company that uses AI without knowing how to program. The distinction is important because it shifts the debate from technique to judgment: the manager is less expected to have the ability to write code and more to understand the technology needed to run the business.

According to the same publication, this understanding serves three practical functions. The executive needs to be able to evaluate opportunities, question results and decide where technology makes a difference. The three verbs point to managerial responsibility, not operational ability, which suggests that the barrier to leadership is, first and foremost, conceptual.

For readers who follow the market, the interest is in how this charge can change the selection and evaluation of leaders. If the ability to question results produced by automated systems becomes a criterion, the governance of decisions gains weight. In the liberal reading that guides this page, whoever is responsible for the result must understand the instruments with which they decide, and this responsibility lies with the company itself, not with generic rules about who can lead.

The limits of the investigation need to be clear. The available facts do not allow us to say how many professionals are in this situation, in which sectors the effect would be greatest or in what time frame it would appear. Therefore, the Exam question must be treated as an open question, and not as a proven trend.

What changes for the investor

For those who invest in the stock market and in technology companies, the point of attention is the quality of management in the face of AI, and not just the use of the tool. A company whose executives know how to evaluate projects, measure returns and challenge numbers can show greater clarity about what they do with technology. This does not allow you to predict quotes or indicate the purchase or sale of any paper. It only serves as an additional criterion to monitor reports, management statements and technology investment decisions.

Automatically translated from Portuguese.