Ayush
👤 PersonAppearances Over Time
Podcast Appearances
From smart coaching systems and AI referees to motion tracking and predictive injury prevention, AI is fundamentally transforming how athletes train, how teams strategize, and even how fans experience the game.
Let's start with training.
Athletes used to rely solely on coaches and instinct.
Today, they've got AI on their side, analyzing every move, heartbeat, and millisecond of performance.
By analyzing historical data from thousands of athletes, these platforms learn the subtle warning signs that a player might be at risk of injury.
Coaches can then reduce load, tweak training sessions, or focus on recovery.
And it's not just the pros.
AI is showing up in personal fitness too, from Peloton's adaptive workouts to Whoop's wearable coaching.
The line between athlete and data scientists is blurring fast.
Let's move to what happens during the game.
Data analytics has always been a part of sports, but now AI is taking it to another level.
In baseball, AI tools like StatCast track the ball's velocity, spin rate, and even field positioning.
Coaches can instantly adjust lineups or pitching strategies.
And in esports, it's even crazier.
AI scrimmage bots train professional gamers by learning their playstyles and exploiting weaknesses faster than any human coach could.
Soccer introduced VAR, Video Assistant Referee, and now AI systems are automating off-site calls with precisions that humans can't match.
Wimbledon's Hawkeye system uses 10 high-speed cameras to track the ball and determine if it's in or out within milliseconds.
Still, the margin for bias is shrinking.