AI and Fan Engagement: The Privacy Challenges of the Smart Stadium
The expected result is a more seamless fan experience. It also means that organizers, technology providers and commercial partners will process unprecedented volumes of personal data. When an organization such as FIFA deploys these technologies at this scale, successful implementations tend to accelerate broader industry trends and are often replicated across sporting events and entertainment venues worldwide.
This raises an important question: how can innovation enhance the fan/user experience without compromising privacy?
Unlike traditional venues, modern event spaces are increasingly evolving into “smart venues”: digitally connected environments designed to enhance the experience of attendees through integrated technologies. In the context of global sporting events such as the FIFA World Cup, this evolution is particularly evident in stadiums, which now function as complex digital ecosystems where every interaction may generate valuable data.
Fans purchase tickets online, access stadiums through digital credentials, connect to venue Wi-Fi, use official applications, receive personalized notifications, purchase food and merchandise through cashless platforms, participate in interactive experiences and share content across social media. Increasingly, artificial intelligence analyses these interactions in real time to optimize operations, personalize services and improve security.
While these technologies create clear commercial and operational benefits, they also raise important legal considerations.
One of the first challenges concerns transparency. Fans may understand that their personal information is necessary to issue a ticket or process a payment. However, they may not expect that the same information could also be used to personalize advertising, analyze consumer behavior, measure engagement or train AI models designed to improve future services. Organizations should therefore provide clear and accessible information regarding how personal data will be collected, used and shared.
Another challenge relates to data minimization. AI systems typically perform better when supplied with larger datasets. Privacy laws, however, generally require organizations to collect only the data that is necessary for specific and legitimate purposes. Striking the appropriate balance between technological capability and legal necessity remains one of the central compliance challenges for AI-driven services.
Facial recognition technologies illustrate this tension particularly well. Some sporting venues around the world have adopted biometric solutions to facilitate access control, improve security or identify banned spectators. While these systems may offer operational advantages, they also process highly sensitive information and therefore require robust governance, clear legal justifications and appropriate safeguards.
Brazil offers an interesting example of how regulation is evolving in this area. Under the Brazilian General Sports Law (Law No. 14,597/2023), sports venues with a capacity exceeding 20,000 spectators are required to implement biometric identification systems for access control. As a result, facial recognition is no longer merely an optional technological solution adopted by some venues; in many cases, it has become a legal requirement.
Although the legal basis for collecting biometric data may derive from compliance with a legal obligation as in the Brazilian case, organizations remain fully responsible for complying with the Brazilian General Data Protection Law (LGPD). This includes implementing appropriate security measures, limiting processing to the statutory purposes, ensuring transparency towards spectators and defining clear governance arrangements among the multiple entities involved in operating the stadium ecosystem.
Artificial intelligence also expands the use of profiling and automated decision-making. By combining purchase history, location data, browsing behavior and previous interactions, AI systems can generate detailed insights into fan preferences and behaviors. These capabilities enable highly personalized experiences, but they also require organizations to carefully assess issues such as fairness, transparency and users' reasonable expectations regarding the use of their personal data.
Another important consideration is the global nature of mega sporting events. The World Cup involves organizers, sponsors, technology providers and cloud infrastructure operating across multiple jurisdictions. As personal data moves internationally, organizations must also ensure that cross-border data transfers comply with applicable legal requirements, including those established under the LGPD.
For organizations operating in this environment, privacy should not be viewed as an obstacle to innovation. On the contrary, privacy governance can become an important enabler of trust.
Businesses deploying AI-powered fan engagement solutions should ensure that privacy considerations are incorporated from the earliest stages of system design. This includes identifying the categories of personal data involved, defining appropriate legal bases for processing, implementing proportionate retention periods, establishing contractual responsibilities among ecosystem participants and maintaining appropriate technical and organizational safeguards.
The World Cup offers a glimpse into the future of live entertainment. Stadiums are becoming increasingly intelligent, connected and data-driven. As AI transforms the fan experience, the organizations that succeed will not be those that collect the most data, but those that are able to use it responsibly, transparently and in a manner that earns the confidence of supporters.
