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Lenovo's AI Tool Levels Playing Field at World Cup

Lenovo has developed an AI-powered knowledge assistant for the FIFA World Cup that provides tournament data to all 48 teams. The tool aims to equalize competitive advantages previously held by better-resourced teams.

3 July 2026
Lenovo's AI Tool Levels Playing Field at World Cup

Lenovo has developed an artificial intelligence tool, Football AI Pro, that grants all 48 teams in the FIFA World Cup access to FIFA's tournament data. This initiative aims to democratize advanced football intelligence, providing a standardized data foundation for every participating team, from seasoned veterans to debutants.

Football AI Pro synthesizes data from over 2,000 football-specific metrics, along with petabytes of performance and historical information. The software is accessible via mobile devices, allowing players and coaching staff direct access to performance analytics. Reports suggest teams are utilizing the tool extensively post-match for individual and team performance reviews.

The company's involvement extends beyond data distribution. Lenovo has also created AI-powered 3D models of all players, which aid in offside reviews and offer fans clearer perspectives on close calls. Additionally, Lenovo ThinkSystem servers at FIFA's broadcast center process and distribute live match content, significantly reducing streaming latency.

Lenovo aims to enhance the game's play, officiating, and presentation through its technology. Ken Wong, global president of Lenovo's Solutions & Services Group, emphasizes the company's broader capabilities beyond hardware. "Our job is not to teach them how to use Football AI Pro. Some teams will use it better than others," Wong stated, highlighting the goal of making the game more equitable and engaging by leveraging AI and FIFA's proprietary assets.

Other technological implementations at the tournament include the AI-stabilized "Referee View" camera, offering viewers an official's perspective. The development faced technical hurdles, such as battery life and latency, which were addressed by distributing tasks to multiple smaller AI models.

Original source: fastcompany.com