Source: in-cyprus.philenews.com
By Vladimir Akimov*
Just imagine: the Euro final. The crowd is roaring, commentators are shouting over each other, and suddenly the screen flashes a new phrase — “Decision by AI Referee.” The human referee freezes for a split second, while the camera instantly feeds the decision to the system: offside confirmed, millimeter precision, flawless accuracy.
This isn’t a scene from a sci-fi movie — it’s our near future.
So who exactly will artificial intelligence in sports replace? And what happens next, when technology begins making decisions faster than a fan’s heart can skip a beat?
When Numbers Become the Coach
Just ten years ago, AI in sports seemed like a fancy toy — an auxiliary tool for analysts. Today, no professional team can function without it.
Algorithms track every player’s movement, monitor heart rate, fatigue, and even stress levels. They know when an athlete is about to explode — and when they’re about to burn out.
Artificial intelligence in sports has already become a full-fledged member of the coaching staff: suggesting substitutions, building strategies, and calculating the probability of every successful pass.
It doesn’t see emotions, but it recognizes patterns — and that’s its superpower.
People Whom AI Might Replace
Let’s be honest — AI in sports is no longer just an assistant. It’s slowly integrating into the DNA of the game, taking over everything humans once did — from counting statistics to making crucial decisions. If technology used to be merely a tool, today it’s a participant in the game. And in the coming years, sport will face its most profound transformation in history.
Analysts and Statisticians — First in Line
There was a time when entire departments of specialists watched endless match recordings manually, logging every pass, shot, and foul.
Now, machines do it — faster, more accurately, and without coffee breaks.
Modern systems like Hudl, StatsBomb, and Sportlogiq process tens of thousands of frames per second.
They don’t just collect data — they find correlations: when focus drops, which flank loses the ball more often, and which teammate provides the best synergy.
AI sports analytics can now predict how a team will behave at 1-1 and even calculate the probability of conceding in the final ten minutes.
Statisticians aren’t disappearing — they’re evolving.
Their job is no longer to count but to interpret what the numbers mean.
Their role is shifting from mechanical work to insight — using the unique strengths of human intelligence, emotional and analytical alike. As a Director in Product, I see it clearly: technology should empower people, not replace them. Still, the fact remains — the repetitive part of their profession is fading into history.
Referees — Under the Lens of Precision
VAR systems were the first step toward automating officiating. Now, semi-automated technologies are entering the arena: 360-degree cameras, joint-tracking, and real-time body-position analysis. All of it merges into a single system some experts already call AI Referee. If once the fate of a match depended on human eyesight, now it depends on a neural algorithm that views the field as a fully rendered 3D model. It has obvious advantages — no pressure from the stands, no bias, no emotions. And yet, it’s precisely the referee’s mistake — however painful — that once gave sport its drama. It made the game alive, unpredictable. Now, when a machine makes the call, there’s no room for argument. The system doesn’t argue. It simply says: “Decision confirmed.”
Scouts
Being a scout has always been more than a job — it was an adventure. Dusty fields, unknown juniors, the gut feeling whispering, “This one’s a future star.” Today, algorithms are learning to recognize that same “star potential” better than people. Neural networks analyze thousands of matches, evaluating speed, coordination, reaction, technique, and stress resistance. AI observes how a player moves, breathes, and decides. It assesses psychophysiology, temperament, and even subtle emotional patterns. And now clubs are signing 16-year-old talents that no scout has ever seen live. Yes, it’s efficient. Yes, it’s convenient. But can an algorithm feel charisma? See the fire in someone’s eyes? Hear the will to win? AI can read a pulse — but not ambition.
Coaches — The Last Line of Defense
For now, coaches are the last to hold the line. They carry intuition, psychology, and the human spirit. No algorithm can deliver that speech in the locker room — the one that flips the game and pushes a team to play beyond its limits. But let’s be honest — even that is starting to change. Today, the coach’s tablet isn’t just a notepad of stats; it’s a living advisor powered by AI, analyzing tens of millions of parameters per match. It might say: “Player #7 is losing focus — 82% probability of an error.” “Substitute defender — heart rate above norm, 64% injury risk.” And the coach listens — because numbers often sound more convincing than emotions. That’s where the boundary begins to blur. If tomorrow coaches trust machines to make the key calls, sport will cease to be purely human art — it will become the science of victory. But is that the emotion fans truly come for?
When Technology Becomes the Conductor
At the forefront of this new era stands not the coach — but the Product Director — those designing the philosophy of human–AI interaction.
They are the bridge between technology and emotion, between cold logic and living impulse. We ask ourselves: where does help end, and control begin?
Can intuition be replaced with code? Can a machine be taught to feel adrenaline before a final? Here lies the real question: have we gone too far?
AI can make the game more accurate, fair, and safe. But sport isn’t only about precision — it’s about passion, risk, and inspiration. Perhaps that’s why humans still win — not in speed, but in soul.
The Advantages You Can’t Ignore
AI is certainly not the enemy. It gives sport incredible advantages. Imagine a team preparing for the Euro semifinal. The system analyzes the opponent’s last ten matches, identifies repeating patterns — a weak left flank, stamina drops after the 70th minute, vulnerability during set pieces.
This isn’t mere statistics — it’s sports performance optimization through tactical intelligence. As a Director in Product, I know: in any industry where data becomes the beating heart — whether it’s sport or iGaming — victory belongs not to the one who has an algorithm, but to the one who knows how to use it wisely.
AI is a tool. But how we use it determines whether sport remains an art — or turns into a simulation.
Human vs Algorithm: Where the Real Line Lies
AI can analyze everything — numbers, movements, trajectories, even a player’s facial expression before a penalty. But there’s one thing it will never grasp — the human sense of the moment. That split-second when an exhausted player still makes one more sprint. When a goalkeeper feels the direction of the shot not through data, but through instinct.
Let’s look at a few risks that come with machine learning in sports:
- Threat #1: Loss of Emotion
AI is flawless, but cold. It doesn’t tremble with tension, gasp with joy, or cry in defeat. Yet emotion is what makes sport alive — the roar of fans, the trembling stands, the fire in a player’s eyes who just saved the team in the final seconds. If we let algorithms fully control the game, we risk turning sport into a laboratory experiment — perfect, but sterile.
- Threat #2: The End of Intuition
Intuition is an athlete’s secret weapon. It can’t be measured or explained. AI can simulate a thousand scenarios but never feel one. Without intuition, sport loses its magic.
- Threat #3: The Algorithmic Dictate
When coaches rely too much on machines, decisions stop being human. AI may say, “The player is tired; injury risk 67%.” But what if that player is the captain who lifts the team by sheer willpower? A machine doesn’t understand leadership or belief. Sport lives by miracles — when no one believes, but they do it anyway.
- Threat #4: The Unification of the Game
AI seeks efficiency, but efficiency kills diversity. Machines learn from the best patterns, seek optimal decisions, and soon teams begin to play the same way. Unique style, risk, individuality — all fade. Victory becomes a mathematical formula — rational, soulless, identical. That’s not evolution. That’s standardization.
And What About the Advantages of Humans?
- Advantage #1: Emotional Intelligence
Humans make mistakes — but that’s what makes them great. Emotion drives sport. Only a person can lose and still come back stronger. AI doesn’t understand self-overcoming. It doesn’t know how pain turns into strength. Champions aren’t those who never fall — but those who rise again.
- Advantage #2: Inspiration
The machine analyzes. The human inspires. A coach whose words give goosebumps. A player who chases an impossible ball because it matters. These moments aren’t written in code — they’re born in the human heart.
- Advantage #3: Chaos and Creativity
AI operates within logic. Humans thrive in chaos. Football, basketball, tennis — all are improvisation, reaction, creation. An algorithm may learn millions of combinations, but it can’t go beyond its own model. A human can. We break patterns, defy rules, invent history on the spot.
- Advantage #4: The Soul
Yes, it sounds poetic, but the soul is what separates sport from simulation. AI may become a perfect referee, coach, or advisor — but it will never be a fan. As long as sport still gives us goosebumps — it belongs to people.
AI vs human athletes is not a war — it’s a test. A test of how much control we’re willing to surrender, and how deeply we still value humanity. AI makes the game cleaner. Humans make it great. And while the future may belong to technology — the soul of sport will always remain biological.
Beyond the Field
Interestingly, the best technologies in sport often come from adjacent industries. For example, CPOs in iGaming have long used AI to understand user behavior, predict risks, and improve retention. The same principles have now reached stadiums.
Personalized training, behavioral mapping, heat maps of activity — players are now analyzed the same way app users once were. That’s how AI in sports and iGaming analytics evolve in parallel, reshaping how we see data, strategy, and success.
The Ethical Question: Who’s Responsible?
But what if AI gets it wrong? If the algorithm misinterprets a play and the team loses — who’s to blame? The programmer who built it, or the referee who trusted it? The line between technology and accountability grows thinner. Perhaps here lies the next great debate — not about what AI can do, but about what it should be allowed to do.
The Future of Sports Technology
When we talk about the future of sport, we must realize: AI isn’t just helping — it’s creating new professions. Already, we see analysts interpreting AI outputs, data-driven coaches, and psychologists for digital teams. Soon, we’ll see the first fully “smart club,” where every decision — from lineup to diet — is made by the system. Yet even then, the final word will remain human. Because sport without a soul cannot exist.
Conclusion: AI in Sports — Disruption or Evolution?
At first glance, it feels like a revolution. Algorithms now make calls instead of referees, advise coaches, analyze biometrics, predict injuries, and even design tactics. AI has become sport’s main partner — sometimes even its director.
But on closer look, this isn’t an overthrow — it’s a natural step forward.
It’s evolution, not because AI quietly integrates, but because humans are still at the center. Every system, every camera, every algorithm is built not to replace, but to assist. AI doesn’t take the soul out of sport. It opens new tools to make it stronger. It doesn’t erase emotion — it amplifies it through precision. It doesn’t kill intuition — it supports it with data. We’ve come a long way from stopwatches and notepads to neural networks and biosensors. But the goal is the same — to understand the human in motion. If revolution is rupture, evolution is growth. AI in sports doesn’t break the past — it gives it new life.
*Chief Product Officer / CPO / Product Director in iGaming