The most controversial part of football today is the incredibly tedious, pixel-by-pixel manual drawing of offside lines. The guys in the video room routinely spend massive amounts of time to determine if a striker’s kneecap was millimeters offside, killing the joy of celebrating a goal. For the 2026 World Cup, this human element will be destroyed. Machine learning will handle offsides entirely. The official match ball contains a highly sensitive microchip that records every single touch. Simultaneously, 12 dedicated, highly advanced tracking cameras in the rafters will monitor the players. When a pass is played, the machine learning model will instantly cross-reference the ball’s microchip data with the skeletal tracking data and notify the officials if the rule was broken. Manual checks will be instantaneous, creating a perfectly fair match.

Machine Learning Fouls

While offsides are a matter of objective geometry, fouls require a referee’s judgment. However, the technology is improving into this highly complex, gray area of the sport. At the next World Cup, the massive camera networks will be specifically trained to judge fouls. If a tackle goes in, the AI will instantly calculate the exact force of the impact and advise the VAR official whether the tackle mathematically crossed the threshold into “reckless” territory. Furthermore, the biggest nightmare in football—the handball rule— will be analyzed by machines. The algorithm will show if the arm was extended based on a massive database of human movement, giving the official statistical proof before they blow the whistle.