As we count down the final days to Super Bowl LX in Santa Clara, the conversation is naturally dominated by the quarterbacks, the halftime show, and the odds. But behind the glitz of the halftime show and the grit on the gridiron, there is a silent MVP working overtime this year.

In 2026, Artificial Intelligence has officially graduated from a buzzing trend to a critical infrastructure. It is no longer just a futuristic concept; it is the engine running the most expensive sporting event in history.

From the locker room to the living room, here is how organizations are leveraging AI to redefine the Super Bowl experience this year.

The Broadcast: Personalized at Scale

Gone are the days when 100 million people watched the exact same feed. This year, broadcasters are leaning heavily into AI to tailor the viewing experience in real-time.

Using advanced machine learning, networks are now able to serve dynamic overlays that cater to different types of viewers. The “hardcore analyst” might see AI-driven probabilities of a blitz conversion overlaying the field, while the “casual viewer” sees player bios and social media trend visualizations.

We are seeing a shift toward:

• Real-time Narrative Building: AI models are analyzing game data instantly to provide commentators with obscure stats and narrative threads that a human researcher simply couldn’t dig up fast enough.
• Automated Highlight Reels: For fans following on second screens, AI is clipping and packaging highlights instantly, customized to specific players they follow on social platforms.

The Field: The Era of the Digital Twin

For the teams involved, AI isn’t about entertainment; it’s about competitive advantage. The NFL’s “Next Gen Stats” has evolved into something far more predictive.

Coaching staffs are utilizing “Digital Twins” virtual simulations of the game that run parallel to the actual match. By feeding live data into these models, coaches can see thousands of potential outcomes for the next play call based on the opponent’s current formation and fatigue levels.

This data usage breaks down into three critical areas:

• Injury Prevention: Wearable tech monitors player load and impact in real-time, alerting medical staff before a fatigue-related injury occurs.
• Play Prediction: AI analyzing the opposing coordinator’s calling history to predict the likelihood of a pass vs. run with startling accuracy.
• Officiating Assist: While humans still make the calls, computer vision systems are now assisting with ball placement and line-to-gain accuracy faster than the chains can be moved.

The Commercials: Generative Creativity

With 30-second spots costing record-breaking amounts this year, brands are under immense pressure to ensure their ROI. This is where Generative AI has taken a seat at the marketing table.

In the lead-up to Super Bowl 2026, we’ve seen a massive shift in how these commercials are tested. Brands are using AI to run sentiment analysis on millions of social conversations to understand exactly what the public mood is before they film.

Furthermore, we are seeing the rise of Reactive Advertising. Several brands have prepared “modular” ads content that can be tweaked by AI in real-time during the game to reference a touchdown, a turnover, or a viral halftime moment, allowing pre-recorded spots to feel live and immediate.

The Fan Experience: Frictionless and Secure

For the lucky fans inside Levi’s Stadium, AI is managing the physical environment. Crowd flow, concession lines, and security are all being optimized by predictive algorithms.

Computer vision is monitoring concession lines to alert staff where bottlenecks are forming, while “just walk out” technology (powered by AI camera arrays) allows fans to grab a drink and return to their seats without missing a play. Security protocols have also been tightened with AI-driven threat detection that can spot anomalies in the crowd far faster than human surveillance.

The Takeaway

Super Bowl LX is a testament to how far AI has come. It isn’t replacing the human elementthe passion, the athleticism, or the creativity but it is enhancing it. It is making the game safer, the broadcast smarter, and the marketing more effective.

For businesses watching from the sidelines, the lesson is clear: You don’t need an NFL-sized budget to start using data to predict trends or personalize your customer experience. You just need the right playbook.