Why AI Will Make Great Coaches More Valuable, Not Less
10
JUNE 2026
A lot of people in coaching hear “AI” and immediately think replacement. They think computers writing programs, removing coaches, automating decisions, and turning athletics into some cold, robotic environment. I don’t see it that way at all. I think the coaches who understand how to use AI well are going to become even better at coaching people because they’ll spend less time buried under clutter and more time actually leading, teaching, observing, and communicating.
Strength and conditioning has always been a people business. The best coach in the room usually isn’t the person with the fanciest spreadsheet or the newest technology. It’s the coach who can build trust, communicate clearly, motivate athletes, manage relationships with sport coaches, and create buy-in inside a team environment. AI isn’t replacing that. If anything, it’s going to put even more value on those skills because the human side of coaching is still the hardest part.
One of the biggest ways collegiate strength coaches will use AI is pattern recognition. We already collect massive amounts of information. GPS data. Force plate data. Wellness questionnaires. Practice loads. Sleep data. Injury reports. Nutrition information. Return-to-play progressions. The problem isn’t lack of data. The problem is time. Most staffs are drowning in information while simultaneously trying to coach, travel, recruit, communicate with sport coaches, and manage everything else that comes with collegiate athletics.
AI will help coaches process information faster and identify patterns that would normally take weeks or months to notice. It may identify trends between soft tissue injuries and travel schedules. It may flag athletes whose readiness scores consistently dip after certain practice structures. It may connect hydration issues, sleep patterns, and recovery markers before performance starts dropping. The coach still has to interpret the information. The coach still decides what matters. But now the coach walks into the conversation with clearer visibility.
That matters because coaching decisions happen fast. During the season, nobody has unlimited time to sit in an office sorting through dashboards for six hours a day. Coaches need information that’s organized, useful, and actionable. AI can help remove a lot of the noise. It can help staffs spend less time hunting for answers and more time discussing solutions.
The second major area is communication and integration between departments. This is where I think AI will have one of the biggest impacts in collegiate athletics over the next decade. Most athletic departments already have talented people. Strength coaches. Athletic trainers. Dietitians. Mental health professionals. Sport scientists. Physicians. Physical therapists. The challenge has never been finding smart people. The challenge is getting everybody connected and moving in the same direction.
A strength coach may notice an athlete looks exhausted during training. Sports nutrition may know the athlete hasn’t been eating consistently. Sports medicine may know the athlete is struggling with recovery. Mental health may know the athlete is dealing with stress away from sport. Right now, a lot of that information sits in separate systems, separate meetings, and separate conversations. AI can help organize communication pathways and surface information that helps departments collaborate faster and more efficiently.
That doesn’t remove the need for communication. It actually increases the importance of it. Somebody still has to sit down with the athlete. Somebody still has to have difficult conversations with coaches. Somebody still has to build trust with the team. AI can’t walk into a locker room and command respect. It can’t feel the energy of a practice. It can’t tell when an athlete is mentally cooked even though the metrics say they’re fine. Coaching still requires instincts, emotional intelligence, leadership, and experience.
What AI can do is handle more of the tedious work that pulls coaches away from athletes in the first place. It can organize reports faster. It can summarize trends. It can connect information across departments. It can reduce administrative overload. That gives coaches more time on the floor, more time teaching movement, more time talking to athletes, and more time building relationships that actually drive performance.
I think the programs that separate themselves over the next several years won’t be the ones that blindly chase every piece of technology. It’ll be the programs that use technology to strengthen human connection inside their buildings. The future of coaching is still people. The tools are simply changing.