For years, broadcasters have decided which three minutes of a multi-hour game were “worth” packaging and distributing in their highlight reels. Without personalization, audiences who sought clips of specific players, niche moments, or deeper game narratives often left feeling underserved, resulting in poor fan experiences and disengagement.
That’s changing now as AI rewrites the rules. We’re now stepping into an era where there is no single highlight reel anymore – there are hundreds of them, each shaped around what a fan specifically cares about and aligned to their unique preferences, behaviors, and emotional triggers.
Data and AI-powered highlights
In an already saturated media market, personalization isn’t just another add-on; it’s the price of entry for capturing the attention of the modern and digital-first fan.
Therefore, broadcasters and distributors are investing heavily in capturing and analyzing fan behavior across platforms, tracking viewing history, favorite teams, players, and digital engagement patterns. This data provides a view of what fans truly want, enabling businesses to deliver highly personalized, targeted experiences. Over time, these insights continuously refine personalization models, making them smarter and more responsive with each interaction.
Thanks to computer vision and machine learning, broadcasters can now spot game-changing moments, generate clips in real-time, and distribute them to the relevant fans immediately, even before the crowd can finish cheering and reach home. Now, this only takes a few minutes, which would initially require long hours of manual editing for the broadcasters and distributors.
A standout example is of this practice in action can be seen at Major League Baseball (MLB), which introduced an AI-driven feature “My Daily Story” to deliver customized highlight reels for fans based on the previous day’s games. By integrating fan data and AI capabilities into streaming and digital platforms, broadcasters and distributors are closing the loop, turning insights into real-time, personalized fan experiences.
AI isn’t just accelerating content production; it’s redefining fan engagement, enabling audiences to engage at a deeper level as they follow their favorite teams and players in ways that are truly tailored to them.
The mechanics behind personalized highlights
To create personalized highlights, live game footage is ingested into AI-enabled platforms to generate rich video and audio metadata embeddings at scale. By applying computer vision and multimodal analysis, key moments can be identified through signals such as player actions, crowd intensity, and commentary, layered with contextual data like player identity, game state, and real-time statistics.
The real power comes from combining this with fan-level big data, preferences, past behavior and consumption patterns, to automatically generate personalized, bite-sized highlight clips at scale.
For businesses, it becomes imperative to deliver the right highlights to the right audience at the right time as it will drive higher engagement, increase platform retention, and unlock more monetization opportunities.
The future innovations in sports highlights
The future of sports highlights is about making the entire experience more personal, interactive, and immersive. One of the biggest shifts on the horizon is prompt-based highlights, where fans can simply request the exact moment, they want to see, no scrubbing, no compromises, no guessing what an algorithm thinks you might like.
Highlights are also evolving from standalone clips into narrative experiences. AI can now reveal everything that led to a goal or highlight how a single player quietly shaped the outcome of a match.
Immersive viewing is another gamechanger. With advances in camera and spatial technology, fans can watch replays from almost any angle, not just the one broadcast on TV. Layer on generative AI, and commentary and context can be dynamically tailored: stats for the sports nerd, drama for the casual viewer. In this future, highlights adjust to you, not the other way around.
Together, these innovations don’t just improve viewing, they unlock longer session times, higher repeat engagement, and premium monetization models for media owners.
How EXL activates fan data into smarter engagement
EXL helps broadcasters and distributors move from fragmented fan insights to a unified, intelligence-driven engagement model, creating a strong data foundation that powers advanced AI and analytics to deliver more relevant content experiences while continuously learning from every fan interaction.
AI here is not limited to content production. Within EXL’s approach, it operates as a decision engine that personalizes what fans see, when they see it, and how they engage, whether it is match highlights, OTT recommendations, editorial content, or in-app experiences. The result is a more relevant, seamless journey that adapts in real time based on fan behavior and intent.
We have been putting this into practice with many major US streaming & OTT platforms with transformative results. For one such streaming platform, we built an AI-driven framework that acts as a virtual production studio, taking raw match footage and transforming it into professional, broadcaster-style recaps using a mix of intelligent media analysis, automated scripting, and AI voiceovers, enabling the creation of hundreds of personalized highlights daily to drive higher watch time and retention.
They have cut down on manual production time by 60% by letting AI handle the heavy lifting all while keeping the high-quality voice that fans expect. This shows how AI-powered data-driven strategies can help businesses to improve stronger fan relationships and monetization outcomes.
Reimagine the future of sports highlights
In this new era of sports, personalization is no longer optional. It is foundational. Gone are the days when ‘one-highlight-fits-all’, replaced by the AI world where every fan deserves a front-row experience tailored to their needs.
Organizations ready to embrace this change are looking forward to unlocking a level of fan loyalty and revenue potential that was previously unreachable. EXL can help you bridge this gap and rewrite the playbook for fan engagement by providing GenAI expertise needed to make this transition feel effortless and scalable.