10 Use Cases Of AI In The Olympics

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May 20, 2025 By Alison Perry

We’ve all seen it—the Olympic Games aren’t just about athletes breaking world records anymore. Now there are drones, motion sensors, ultra-HD replays... and yes, artificial intelligence quietly powering things behind the scenes.

If you're thinking, "Wait—AI? In the Olympics? What does that even mean?"—you're not alone.

But here’s the deal: AI has been creeping into sports for a while now. And at the Olympic level, it’s doing everything from analyzing performance to keeping fans engaged.

Here’s a full breakdown of how AI is changing the Olympic Games—for good. Let’s dig into 10 ways AI is being used in the Olympics... and maybe learn something cool along the way.

1. Automated Athlete Performance Analysis

Back in the day, coaches would rely on clipboards, VHS tapes, and a whole lot of guessing. Now? AI does most of the heavy lifting.

Using machine learning and computer vision, Olympic teams are now able to analyze an athlete’s form, speed, technique, and more in real time. Some systems track joint movements frame-by-frame, while others compare thousands of performances to identify what’s working (and what’s not).

This isn’t just “nice to have” tech. It’s what gives athletes that extra 0.03-second edge... the difference between gold and nothing.

Even sports like diving and gymnastics (where form is everything) benefit from this kind of breakdown, without needing 5 slow-mo replays and a panel of experts guessing.

2. Smart Cameras That Auto-Track The Action

You’ve probably noticed during recent Games that the camera work is… really good. Like, suspiciously good.

That’s AI. Instead of relying on human camera operators to follow the action (which, honestly, is super hard in fast-paced sports like fencing or judo), AI-driven cameras use object tracking to “lock on” to athletes and follow them perfectly—even if they’re flipping, running, or sprinting across the mat.

Some cameras even adjust framing based on posture or predict where the athlete’s going next.

So yeah, that buttery-smooth panning shot of a gymnast landing a triple twist? That wasn’t a guy with a joystick. It was software doing its thing.

3. AI-Powered Judging & Scoring Systems

Here’s where things get a little spicy.

Scoring in some Olympic sports (like gymnastics, figure skating, and diving) has always been... controversial. Subjective judging, national bias, human error—you name it.

AI is now being used to help judges stay consistent and avoid those “Wait, how did she get a lower score than her?” moments.

In Tokyo 2020, for instance, an AI system by Fujitsu was tested to analyze gymnastics movements down to the millimeter, judging posture, angles, and form. This doesn’t fully replace human judges (yet), but it acts like a smart assistant... kind of like a second opinion that doesn’t blink.

It’s not perfect. But it’s progress. And yes, we’re all for fewer judging scandals.

4. Injury Prediction & Prevention Tools

You know what’s worse than losing a race? Tearing your hamstring right before the race.

In elite sports, injury prevention is everything, and AI is helping keep athletes in one piece.

By analyzing data from wearables, past medical records, training volume, and even sleep patterns, AI tools can now spot red flags and predict if someone’s pushing too hard (or recovering too slow).

A coach might get a notification like:

“Hey, your sprinter's left leg is showing abnormal tension. You might want to ease up today.”

It’s like having a 24/7 virtual physiotherapist—minus the awkward stretching.

5. Enhanced Fan Experience with AI Commentary & Insights

Alright, let’s talk about the folks sitting at home—us.

Ever watch an event and think, “I have no idea what’s happening but it looks impressive?” Yeah, same.

AI is now being used to translate complex sports moments into digestible insights for regular viewers. That includes:

  • Instant stats during replays
  • Auto-generated graphics
  • Real-time athlete comparisons
  • “Smart” captions that explain strategy mid-game

Some platforms even use AI to generate commentary in multiple languages, so fans from different countries can understand what’s happening without needing a translator.

So you’re not just watching—you’re understanding (finally).

6. AI Training Bots for Sparring & Drills

Okay, this one’s kind of wild.

Olympians in sports like boxing, taekwondo, and fencing are now training against AI-driven robots and simulations. These bots learn from previous match footage and adapt their moves based on your reactions.

They can mimic real opponents, test different strategies, or help athletes prepare for specific fighting styles.

It’s not like fighting The Terminator (yet), but these bots don’t get tired, don’t complain, and don’t hold back, which makes them perfect for high-volume practice sessions.

Plus, they give instant feedback... and they won’t ghost you after a hard round.

7. AI Translation for Global Communication

With athletes and staff from over 200 countries, language barriers can be a mess at the Olympic level. But AI is smoothing things out—fast.

At the Tokyo Games, AI-powered devices like Pocketalk were used to provide instant translation between athletes, coaches, volunteers, and staff.

We’re talking real-time, voice-to-text, and text-to-speech in dozens of languages—on the spot.

This isn’t just helpful, it’s essential. Especially in situations involving medical care, training instructions, or media interviews.

The goal? No more “lost in translation” moments when it matters most.

8. Facial Recognition for Venue Security

Security at the Olympics is no joke—and AI-powered facial recognition is now a major part of keeping things safe.

Instead of checking badges manually or scanning tickets one by one, cameras at the venue gates can now recognize athletes, staff, and VIPs automatically.

The system checks your face against a pre-approved database, grants access in seconds, and flags anyone who’s not supposed to be there.

It speeds up entry, reduces lines, and minimizes human error. (And yes, privacy policies are a whole conversation, but we’ll leave that for another article.)

9. Personalized Recommendations for Viewers

With dozens of events happening at the same time, it’s easy to miss something amazing... unless AI is curating it for you.

Streaming platforms and Olympic apps now use machine learning to recommend events, highlights, or athlete stories based on what you’ve watched before.

So if you’re a fan of swimming and track events, the system might show you:

“Don’t miss this record-breaking 400m relay heat. It’s trending.”

It’s like Netflix, but for sports. And way more useful when you're trying to keep up with a week’s worth of events during your lunch break.

10. Real-Time Data Visualization for Coaches & Analysts

Finally, this one’s more behind-the-scenes, but it’s powerful.

AI helps Olympic coaches and analysts see the game in numbers. Using real-time data pulled from wearables, cameras, and sensors, they get instant feedback on:

  • Heart rate
  • Acceleration
  • Speed
  • Fatigue levels
  • Biomechanics

All displayed on sleek dashboards that update every second. Some systems even flag “anomalies” or suggest tactical changes on the fly.

So instead of reviewing footage after the fact, coaches can tweak strategies mid-event... with science on their side.

Final Thoughts: AI Isn’t Taking Over the Olympics—It’s Enhancing It

Here’s the thing: AI isn’t here to replace athletes, coaches, or fans. It’s here to enhance how we train, compete, watch, and enjoy the Games.

Sure, there’s always that fear of tech going “too far”—but so far, AI in the Olympics has mostly helped with:

  • Better decisions
  • Fewer injuries
  • Smarter broadcasts
  • And deeper insights for everyone watching

Whether you’re a sports fan, a tech geek, or just curious about how the world is changing, this AI revolution at the Olympics? It’s worth paying attention to.

Because it’s only going to get smarter... and faster... and, well, more invisible.

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