The intelligent game and how AI and metadata will redefine the World Cup

The 2026 World Cup will be a landmark event in sports broadcasting, not just for its expanded format and multi-country hosting, but for the sheer volume of content it will generate. With more teams, more matches, and more fans engaging on more platforms than ever before, the tournament presents a monumental challenge for broadcasters: how to capture, manage, and distribute every significant moment to a global audience with soaring expectations for personalization and immediacy.

For media organizations, navigating this complex landscape requires a fundamental shift in strategy. The focus must move beyond simply delivering a primary broadcast feed to creating a dynamic, searchable ecosystem of content. The future of live sports production lies in making every second of footage intelligent and, therefore, valuable. This is achieved by systematically converting the unstructured data of video and audio into structured, machine-readable metadata.

It all begins with foundational data. During a live event like the World Cup, AI can analyze broadcast feeds in real-time, frame by frame.

This process generates a rich layer of metadata, identifying players, teams, logos, and key events like goals, penalties, or even specific plays. This structured information is the bedrock upon which all modern sports media workflows are built. Without it, the tens of thousands of hours of footage from a single tournament become an unwieldy and unsearchable archive, a costly digital storage closet. With it, that same archive transforms into a dynamic, monetizable asset.

From one game to a thousand stories

Consider the diverse global audience of the World Cup.

While a primary broadcast might focus on the marquee matchups, countless fans are deeply invested in the journey of a single player or a specific national team. AI-driven workflows allow broadcasters to service these passions at scale. By using metadata to track a particular athlete, a broadcaster can automatically identify, clip, and distribute every touch, pass, and shot to media partners in that player’s home country within minutes of it happening. This ability to create and deliver thousands of bespoke, hyper-relevant clips unlocks new content streams and revenue opportunities that were previously impossible to manage manually. This pattern, where one live event feeds hundreds of derivative outputs, is becoming the new standard for maximizing the value of premium content rights.

The challenge is compounded by the multi-screen viewing habits of the modern fan.

A typical viewer might watch the main match on television, track player statistics on a tablet, and follow social media commentary on their phone. Each screen represents a distinct context and an opportunity for deeper engagement. The goal for broadcasters is to create a unified experience across these devices, keeping viewers engaged within their ecosystem. AI and metadata are crucial for powering these experiences, enabling features like real-time highlight alerts sent to a fan’s phone or personalized content feeds on a streaming app. By keeping fans engaged across multiple touchpoints, broadcasters can maintain the value of their advertising inventory in a fragmenting media landscape.

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Furthermore, as traditional advertising models face pressure, the ability to effectively monetize content across all platforms is paramount. AI provides the tools to make advertising smarter and more targeted. For instance, an advertiser could place a campaign that automatically appears alongside all clips featuring a specific team or player, ensuring relevance and maximizing impact. The cloud-based infrastructure that underpins these AI-powered workflows also provides the flexibility for creative teams to collaborate remotely and scale operations dynamically, which is essential for a sprawling, month-long global event like the World Cup.

The long-tail value of the archive

Beyond the final whistle, the value of this metadata-rich content endures. Broadcasters hold vast libraries of historical footage, representing a significant investment.

For years, much of this content has remained dormant because finding specific moments was a time-consuming and labor-intensive process. AI-powered archival systems make these libraries instantly searchable. A production team creating a pre-match documentary can instantaneously find every goal a star player has ever scored in the tournament’s history. A social media manager can pull a classic moment from a past match to connect with a trending topic. This ability to easily access, repurpose, and relicense archival content creates a continuous and long-tail revenue stream, ensuring that the investment in sports rights pays dividends for years to come.

As we look toward 2026, the broadcasters who succeed will be those who embrace an AI-first approach. They will treat every piece of video and audio not as a simple recording, but as a rich source of data. By building a foundation of intelligent metadata, they will unlock new efficiencies in live production, create personalized experiences that captivate multi-platform audiences, and discover new ways to monetize their content—both in the moment and for decades to follow. The World Cup will not just be a test of athletic prowess, but a showcase for the future of intelligent sports media.

Sean King, VeritoneSean King is chief revenue officer and general manager of Veritone.