The 2026 FIFA World Cup will be larger than any before it: 48 teams, 104 matches across Canada, Mexico and the United States, more than 180 broadcasters and an expected global audience of six billion. FIFA is also taking direct operational responsibility instead of relying on local organising committees to absorb much of the complexity.
Against that scale, AI is not being introduced as a decorative feature. FIFA and Lenovo are using it for team analysis, officiating communication and the command centre coordinating the tournament.
Every team receives an analytical baseline
Football AI Pro is a generative knowledge assistant that will be available to all 48 competing teams. Built on FIFA’s domain-specific Football Language Model and hundreds of millions of FIFA-owned data points, it can generate pre- and post-match analysis in text, video, graphs and 3D visualisations across multiple languages. It will not be used during live play.
The access model is significant. Wealthy football nations can employ large analytics departments; a first-time qualifier may have far fewer resources. Providing the same tool to every team does not remove differences in coaching or interpretation, but it gives each one a common analytical starting point.
Delivering that service throughout a multi-country tournament is an enterprise infrastructure challenge. The platform must produce consistent results for 48 teams, handle multilingual requests and operate against a demanding match schedule. Lenovo’s hybrid AI architecture is therefore as important as the visible assistant.
The model’s value may extend beyond the tournament. FIFA plans eventually to make Football AI Pro available to fans, while its 211 member associations are also in scope. A successful World Cup deployment could become the foundation for distributing analytical capability much more widely.
Better images may strengthen officiating legitimacy
FIFA’s next Referee View uses AI stabilisation to improve live footage from a body camera. The first version, tested at the Club World Cup, suffered from the blur and motion expected when a camera moves with the referee during fast play.
Smoother footage has broadcast appeal, but transparency is the more important purpose. Video-assisted refereeing remains controversial partly because supporters struggle to follow the evidence behind a decision. A clearer view from the official’s position may help audiences understand what was visible and why an intervention occurred.
AI-enabled 3D player avatars address a similar communication gap around offside. Players are scanned in approximately one second to create precise models that help track bodies through rapid or obstructed movement. When a decision goes to VAR, the resulting visual should be both more accurate and easier to interpret than unfamiliar lines and camera angles.
The shared principle is not simply better detection. It is making technically supported decisions legible enough that the audience can accept them. In that sense, the technology participates in governance as well as entertainment.
The command centre is the hidden AI product
The least glamorous component may have the largest operational impact. FIFA’s intelligent command centre connects real-time information across departments, venues, matches and broadcasters in one view.
Running 104 matches across three countries creates dependencies in transport, venues, communications and media delivery. With FIFA assuming duties that local committees previously handled, coordination becomes the constraint behind every public-facing feature. AI helps make that centralised operating model viable.
The tournament will provide a highly visible test of domain-specific AI. Football AI Pro must remain trustworthy across languages and teams. Referee imagery must clarify rather than inflame disputes. The command centre must turn vast streams of information into timely action.
Calling the World Cup a proof of concept understates the immediate stakes, but it captures the longer strategy. FIFA owns a unique dataset and has built a model around it. If the system performs under the pressure of the world’s largest sporting event, it can support teams, federations and fans long after the final.
The most AI-driven World Cup will not be judged by how often spectators hear the term. Success will mean the technology fades into better analysis, clearer decisions and an event whose unprecedented complexity remains largely invisible.
