Tech • IA • Crypto
This World Cup is run by AI
7/10TL;DR
The 2026 World Cup relies on a vast ecosystem of sensors, tracking systems, and specialized AI tools that enhance officiating and analysis without replacing human judgment.
KEY POINTS
Massive data tracking infrastructure
Each stadium is equipped with 16 optical cameras designed not for broadcast, but for positional tracking. These systems generate over 150 million data points per match, capturing player movements and ball location in real time. The data enables full 3D reconstruction of matches, allowing officials and analysts to review actions from angles unavailable in traditional footage.
Connected ball with high-frequency sensor
The official match ball, Trionda, includes a motion sensor operating at 500 Hz, sending movement data 500 times per second. This allows precise identification of the exact moment a player contacts the ball. Such precision is critical in tight offside decisions where milliseconds can change outcomes.
Semi-automated offside decisions
By combining player tracking and ball sensor data, the semi-automated offside system delivers faster and more accurate calls. In clear cases, alerts can now be sent directly to on-field referees. However, the system remains “semi-automatic” because subjective elements—such as whether a player interferes with play—still require human interpretation.
Digital avatars for all players
All 1,248 players were scanned using rapid 3D capture technology to create detailed digital avatars. These models improve tracking accuracy, especially when players overlap or are partially obscured. They also enhance visual reconstructions, making them more realistic for both officials and audiences.
AI-powered analytical assistant
The tool FIFA AI Pro acts as a specialized analytical assistant using official match data, tracking information, and a dedicated language model. Teams can query it in natural language to analyze tactics, such as identifying weaknesses in an opponent’s pressing structure. All 48 teams used the system, across 15 languages, primarily for pre- and post-match analysis rather than live decision-making.
Referee body camera and AI stabilization
Referees wore lightweight head-mounted cameras providing real-time video and audio. Because of rapid movement, footage can be unstable, so a proprietary system applies AI-assisted stabilization to improve clarity. However, technical details about the model and methods remain undisclosed.
Separation between AI and measurement tools
Not all technologies involved qualify as artificial intelligence. Devices like cameras and ball sensors primarily capture and transmit data. AI comes into play when systems interpret this data, such as in player tracking, motion reconstruction, or natural language querying.
Human decision-making remains central
Despite technological advancements, referees retain authority over rule interpretation. Systems can determine positions and timings with precision, but judgments about intent or interference still depend on human officials.
CONCLUSION
The tournament showcases a layered technological ecosystem where data and AI enhance accuracy and insight, while final decisions continue to rely on human expertise.