How AI Helps Broadcast the 2026 FIFA World Cup
- Chris Howell
- Jun 13
- 11 min read
The 2026 FIFA World Cup is not just a football tournament. It is one of the largest live media operations ever attempted, spanning 48 teams, 104 matches, 16 host cities and three host countries. Every match generates an enormous volume of content that needs to be captured, processed, translated, analysed and distributed across television, streaming platforms, mobile apps and social media channels, often within minutes.
This is where artificial intelligence becomes particularly valuable. Not because AI is replacing commentators, producers or journalists, but because it helps broadcasters cope with the sheer scale of the operation. The most significant impact of AI is often behind the scenes, where it supports production teams by stabilising camera footage, generating visualisations, tagging content, creating highlights, translating material into multiple languages and helping manage workflows across dozens of venues.
The story of AI at the World Cup is therefore less about automation replacing people and more about technology helping people manage complexity. As sporting events become larger and audiences consume content in more ways than ever before, AI is increasingly becoming part of the infrastructure that makes modern broadcasting possible.
The Biggest Broadcast Challenge in Sport
A modern World Cup is no longer simply a television event. Broadcasters are expected to deliver live television coverage, streaming services, mobile experiences, social media clips, tactical analysis, accessibility features, post-match summaries and personalised content for different audiences around the world.
The 2026 tournament increases that challenge significantly. The expansion from 32 teams to 48 teams means the number of matches rises from 64 to 104, creating a substantial increase in the amount of content that must be produced and distributed. At the same time, matches will take place across the United States, Canada and Mexico, requiring coordination across multiple venues, cities and time zones.
As a result, broadcasters are not simply covering individual matches. They are managing a vast network of live feeds, replay systems, graphics engines, VAR outputs, stadium screens, social media channels and digital platforms. The International Broadcast Centre in Dallas serves as the operational hub for much of this activity, bringing together functions such as replay management, graphics production, quality control, VAR operations and master control services.
The challenge created by this scale is straightforward: there is simply too much content for teams to manage manually at the speed modern audiences expect. AI becomes valuable because it helps reduce the workload associated with processing, organising and distributing information, allowing production teams to focus their attention where human judgement matters most.
AI in the Official Broadcast Technology Stack
Several AI-enabled technologies are expected to play a role in the 2026 World Cup broadcast ecosystem. Some of these technologies will be visible to viewers, while others will operate entirely behind the scenes.
One of the most visible examples is advanced semi-automated offside technology. Modern tracking systems collect detailed information about player positions and ball movement, allowing broadcasters to generate clearer visual explanations of offside decisions. For the 2026 tournament, the report highlights the use of AI-enabled 3D player avatars created from digital body scans. These visualisations help viewers understand complex decisions by presenting them in a more intuitive and accessible format.
The purpose of these systems is not to replace referees or remove human decision-making from the game. Instead, they help transform large volumes of tracking data into graphics that audiences can understand quickly and easily.
Another example involves referee cameras. Body-mounted cameras provide unique perspectives on the action, but the footage can often be difficult to watch because referees move rapidly and change direction frequently. AI-powered stabilisation technology can smooth these movements, making the footage more suitable for broadcast use while preserving the immersive perspective that viewers enjoy.
The official Adidas Trionda match ball also contributes to this growing data ecosystem. Equipped with an internal sensor that records movement data hundreds of times per second, the ball generates information that can support officiating decisions and enrich broadcast graphics. Data relating to ball speed, trajectory and contact points can be transformed into visual explanations that help audiences better understand what is happening on the pitch.
Taken together, these technologies demonstrate a common theme. AI is not being used to replace the sport itself. Instead, it is being used to convert complex streams of data into information that is useful, understandable and engaging for viewers.
The Broadcast Workflow Behind the Scenes
Some of the most important applications of AI will never be seen directly by audiences. Their value lies in helping production teams manage the enormous volume of content generated throughout the tournament.
Companies such as EVS Broadcast Equipment provide core production infrastructure through platforms including LiveCeption and VIA MAP. These systems help broadcasters ingest, organise, store and distribute media assets across all tournament venues and production centres.
Although media asset management may sound like a technical detail, it is a critical part of modern broadcasting. A World Cup broadcast consists of far more than a live camera feed. Production teams must manage thousands of clips, interviews, replays, graphics, crowd shots, archive materials and social media assets. Finding the right piece of content quickly can make the difference between an efficient production workflow and a chaotic one.
AI-assisted asset management systems help by automatically tagging footage according to players, teams, incidents, locations and other characteristics. Rather than manually searching through hours of video, editors can locate relevant content almost instantly. This becomes particularly valuable when multiple matches are taking place within a short period and production teams are working under intense time pressure.
This type of workflow support highlights one of AI's most practical strengths. It does not determine editorial priorities or decide what stories should be told. Instead, it reduces the friction involved in finding and organising the material needed to tell those stories effectively.
AI Helps Find the Moments That Matter
One of the most widely discussed uses of AI in sports broadcasting is automated highlight generation. Modern systems can analyse video, audio and match data simultaneously to identify moments that are likely to be important or interesting to viewers.
These systems look for a variety of signals. Visual indicators such as goals, celebrations and saves can be combined with audio cues including crowd reactions and changes in commentator tone. By analysing these patterns, AI systems can identify key moments and prepare clips far more quickly than would be possible through entirely manual processes.
This capability is particularly valuable during a World Cup because the volume of content generated is so large. Every goal, controversial decision, milestone achievement and dramatic moment has the potential to become a highlight package, social media clip or news story. Broadcasters and digital platforms increasingly compete on speed, making rapid content creation an important part of audience engagement.
WSC Sports as a leading example of this approach. Its technology processes live streams, identifies significant moments and packages content for websites, apps and social platforms. Similar systems are already used extensively across professional sports, where thousands of clips can be generated automatically each day.
Specific examples for the 2026 tournament include Naver's coverage in South Korea, which incorporates AI-generated short-form clips, player-specific highlights and automated match briefings based on official FIFA data. DAZN is also integrating AI-powered highlights into its broader World Cup viewing experience.
Despite these capabilities, editorial judgement remains essential. AI can identify moments that appear significant, but it cannot fully understand their context. A stoppage-time winner carries a different meaning from a goal scored in a match with little at stake. A controversial foul may generate attention without being particularly important to the outcome of the game. Tactical developments that matter greatly to analysts may not trigger the same signals that automated systems prioritise.
AI can help surface potential stories, but people are still needed to determine which moments matter and why they matter.
Multilingual Coverage Is a Huge AI Opportunity
The World Cup attracts audiences from every part of the world, creating a significant language challenge for broadcasters. Fans expect commentary, captions, summaries and updates in languages they understand, while rights holders must serve audiences across multiple regions and platforms.
FIFA+ is expected to stream all 104 matches with commentary available in more than 20 languages. Beyond the main broadcasts, there is also demand for translated social media content, subtitles, match summaries and short-form video content tailored to local audiences.
AI-powered translation, transcription and subtitling tools offer a practical way to scale these services. Technologies such as speech recognition, real-time translation, AI dubbing and synthetic voice generation can help broadcasters produce multilingual content more quickly than traditional workflows allow.
This does not mean that premium broadcast coverage will become entirely automated. Major commentary teams, studio presenters and analysts continue to provide expertise, personality and cultural understanding that AI cannot replicate. However, AI can help extend coverage by supporting secondary streams, social media content, catch-up services and multilingual accessibility features.
The benefits extend beyond convenience. Language is closely linked to accessibility and inclusion. Fans who do not speak the primary broadcast language should still be able to follow the tournament effectively. Captions assist viewers in noisy environments, transcripts improve discoverability and translated content helps broaden access to global events.
At the same time, multilingual AI systems introduce risks. Translation errors, inaccurate subtitles and misleading summaries can spread rapidly when content is distributed at scale. For that reason, editorial oversight remains essential. AI can accelerate the process, but accountability for accuracy still rests with people.
Accessibility Is Part of the Broadcast Story
Accessibility is becoming an increasingly important part of major sporting events, and the 2026 World Cup is expected to include several significant accessibility initiatives. According to the report, these include audio-descriptive commentary for every match and sign language interpretation throughout the tournament.
These developments reflect a broader understanding that broadcasting is not simply about delivering content as efficiently as possible. It is also about ensuring that as many people as possible can participate in the experience.
Audio description provides additional context for blind and visually impaired audiences by describing movement, positioning and visual details that standard commentary may not cover. Sign language interpretation helps make match information more accessible for Deaf and hard-of-hearing viewers.
AI can support these efforts through automated captions, searchable transcripts, translation services and content adaptation tools. However, accessibility also demonstrates the limits of automation. Effective accessibility requires clarity, timing, empathy and an understanding of audience needs. These qualities still depend heavily on human expertise.
Technology can support accessibility workflows, but ensuring that content genuinely serves audiences remains a human responsibility.
Personalised Football Feeds Are Growing
Another major trend in sports broadcasting is personalisation. Not every fan wants the same viewing experience, and digital platforms increasingly allow audiences to consume content in ways that reflect their individual interests.
Some viewers want to watch every minute of every match. Others prefer short highlight packages. Some focus on a particular team, while others follow individual players, tactical developments or fantasy football statistics.
AI-powered tagging and recommendation systems make these personalised experiences possible. Once content has been properly organised and labelled, it can be repackaged and delivered in different ways depending on audience preferences.
An England supporter may receive England-focused highlights, while a Brazil supporter sees content centred on Brazilian players and matches. Tactical enthusiasts may receive analysis-focused content, while casual viewers are shown goals and major incidents. Fantasy football players may prioritise statistics and player performance updates.
Globant's work on FIFA's mobile app reflects this broader trend toward personalised fan experiences, combining match alerts, team updates and tailored content recommendations.
The principle extends beyond football. Businesses face similar challenges when communicating with different audiences. Customers, employees, managers and prospects often require different versions of the same information. AI can help adapt content for these different groups, but only when supported by a clear workflow and a well-defined communication strategy.
Humans Still Shape the Story
Perhaps the most important lesson from the World Cup's use of AI is that technology does not replace editorial judgement.
AI can search archives, generate captions, recommend content, stabilise footage and identify highlights. What it cannot do reliably is understand the emotional, cultural and historical significance of a sporting moment.
A last-minute winning goal is more than a timestamp in a database. A controversial VAR decision is more than a tagged event. A manager's reaction carries meaning that extends beyond facial recognition data. Some moments resonate because of history, national identity or narrative context in ways that cannot easily be captured through automated analysis.
This is why producers, editors, commentators and journalists remain central to the broadcasting process. They decide which stories deserve attention, provide context, interpret events and ensure that audiences receive accurate and meaningful coverage.
The most effective use of AI is therefore not to remove people from the workflow but to support them. By reducing repetitive tasks and improving efficiency, AI allows human experts to focus on the areas where judgement, creativity and trust matter most.
The Risks Are Real Too
While AI offers significant benefits, it also introduces new risks that broadcasters must manage carefully.
As workflows become more automated, quality control becomes increasingly important. Automated captions can contain errors. Translation systems may miss cultural nuances. Highlight-generation tools may prioritise dramatic moments while overlooking strategically important developments. Personalised recommendation systems can narrow the range of content audiences encounter.
There are also broader concerns around synthetic media and deepfakes, which have the potential to undermine trust in broadcast content. Rights management and licensing issues may become more complex as content is repackaged and distributed across multiple platforms at increasing speed.
Another challenge is the growing volume of low-quality AI-generated content. As production becomes easier, audiences may find themselves overwhelmed by material that adds little value. The solution is not to reject AI but to use it thoughtfully and responsibly.
Successful AI workflows require clear ownership, editorial standards, human review processes and a commitment to maintaining quality. These principles apply just as strongly to businesses as they do to broadcasters.
What Small Businesses Can Learn
Most small businesses will never face the challenge of broadcasting a World Cup, but many face a similar problem on a smaller scale. They generate large amounts of information and content but often struggle to organise, repurpose and distribute it effectively.
The World Cup broadcast model offers a useful framework. Start with a valuable source of information, capture it effectively, organise it properly, adapt it for different audiences and review it before publication. Measure results, learn from performance and improve future outputs.
For a business, that source material might be a webinar, customer conversation, sales call, workshop, presentation or blog post. AI can help transform that material into summaries, newsletters, social media posts, FAQs, captions, videos and internal documentation.
However, the technology only delivers value when it is supported by a clear process. Without a workflow, AI often creates more content rather than more useful content. The objective should not be volume for its own sake. The objective should be making valuable information easier to create, manage and share.
The Mercia AI View
The 2026 FIFA World Cup provides a useful example of AI at its most practical. Rather than replacing people, it is being used to support workflows, manage complexity and help broadcasters operate at a scale that would otherwise be difficult to sustain.
Across production, translation, accessibility, content management and personalisation, AI is helping organisations process information more efficiently and serve audiences more effectively. Yet the technology remains most valuable when combined with human expertise, editorial judgement and clear accountability.
That is the broader lesson for businesses as well as broadcasters. The most useful question is not how AI can generate more content, but how it can help remove friction from existing processes and improve the quality of communication.
When used in that way, AI becomes less about automation for its own sake and more about enabling better decisions, clearer communication and more effective use of human time and expertise.
If your organisation is exploring how AI could streamline content creation, improve internal workflows or help your team manage information more effectively, the challenge is rarely choosing the right tool. More often, it is identifying the right process.
At Mercia AI, we help businesses move beyond experimentation and build practical AI workflows that deliver measurable value. Whether you are looking to automate repetitive tasks, improve communication, repurpose content more efficiently or develop an AI strategy that fits your organisation, we can help.
Get in touch to discuss how AI could support your business in the same way it supports some of the world's most complex broadcast operations: by reducing friction, improving efficiency and allowing your people to focus on the work that matters most.