The importance of artificial intelligence and data in today’s businesses.

AI won’t save bad management.

Let’s start with some bad news for those who see Artificial Intelligence as the solution to almost all business problems: AI can do the exact opposite, making existing problems more visible.

It will be a mirror of leadership. In an organization with a clear vision, simple processes, quality data, and a strong culture, AI multiplies capacity, speed, and productivity. In a confused and reactive organization, it will only accelerate inefficiencies. Therefore, the AI ​​revolution is, above all, a management revolution.

The challenge for leaders is to understand where AI creates value and how to transform it into a competitive advantage. To do this, it is useful to look at four fundamental layers: infrastructure, data, AI models, and applications. Although attention is often focused on large models, the real opportunity for most companies lies in data and its use through intelligent agents and applications.

Data represents knowledge about customers, operations, products, markets, and decisions. It is part of the organization’s memory and can become an important source of differentiation. AI models will become increasingly accessible; however, proprietary data and contextualized knowledge will remain difficult to copy.

But having data is not enough. Wrong data produces wrong decisions. Dispersed data does not generate intelligence. Data without governance can turn an opportunity into a risk. Before asking “which AI should we implement?”, leaders should ask: “what data do we have, what is its quality, and what value can we extract from it?”.

From this foundation, specialized agents can support teams, respond to customers, automate processes, anticipate needs, and accelerate decisions. However, trust will be equally crucial.

But there is one indispensable condition: prepared people. The transformation to an AI-driven organization will also be a challenge of change management. Implementing technology can be quick, but developing skills, changing behaviors, and creating new ways of working takes time. People capable of collaborating with AI, questioning results, identifying risks, and exploring opportunities will be as important as the technology itself.

The challenge is simple: quality data feeds intelligence. AI transforms it into capability, agents transform that capability into work, and leadership decides where the value lies. The good news is that no organization needs to compete with tech giants to benefit from this revolution. Whoever has the best data, the most prepared people, and the courage to change will already be ahead of many competitors.

Article by Sérgio Lorga in Líder Magazine.
Published on September 30, 2026, the article available online here.