Five AI lessons that the 2026 World Cup leaves us and that you can apply

The 2026 World Cup showed a parallel competition: that of data, algorithms and artificial intelligence. And this latest technology has become a tool that can improve the precision of decisions and redefine the fan experience.

The lesson for companies is direct: when everyone has access to similar information, the advantage is no longer in having more data, but in making better decisions with it.

2. Football stopped being watched: now it is consulted

Today a fan points his cell phone at the field and sees the speed and data of each player on the image in real time, while the AI ​​creates personalized summaries and tactical diagrams. That same technology is already within the reach of companies in any industry.

The message to leaders is clear: traditional demographic segmentation fell short. The future of customer experience is predictive and contextual and involves anticipating the exact need of each person, at the scale of millions.

3. Modern security no longer reacts, it anticipates

According to the technological strategy implemented for the tournament, the 16 stadiums have digital models (“digital twins”) that allow operations and flows of people to be monitored in real time. That leap, from reacting to anticipating, is the true transformation of AI.

The company that predicts a customer flight, a machine failure or a stock out before it happens is playing another game.

4. AI did not replace the referee. Made it more precise

The offside system measures the position to the centimeter, but the final decision remains with the referee: that is why it is called semi-automated. Therein lies the most important lesson. The professionals that the labor market needs do not compete against AI, they decide with it and convert complexity into data that they use with judgment and strategy.

5. Everything can become data, even a face

The growing use of biometric technologies for access management and security at major sporting events has reopened the debate on privacy and the use of personal data.

The challenge for companies is not to ban AI out of fear or blindly adopt it out of fashion: it is to govern it and, in that sense, transparency about how customer data is used is no longer a legal ‘checklist’ but has become a reputational asset. In this way, trust is a new competitive advantage that is built by deciding today what data you capture, for what purpose and who is responsible for it.