Shaun White didn’t grow up with a full-time coaching staff. The most decorated snowboarder in history was a kid from San Diego whose family stretched to afford lift tickets and lodging, competing against rivals who had professional support teams from the start. Speaking at Fortune’s Brainstorm Tech conference in Aspen this week, the three-time Olympic gold medalist argued that artificial intelligence is starting to erase exactly that kind of advantage gap.
“It is leveling the playing field in a way,” White said of AI’s arrival in athlete training. His point: performance data and technique analysis that once required an expensive human coaching team can increasingly come from software, putting elite-level feedback within reach of athletes who could never have afforded it before.
The technology is already woven into competition. MLB now runs an automated ball-strike challenge system, tennis and soccer use automated line and offside calls, and at the 2026 Milano Cortina Winter Olympics, ski jumpers leaned on high-speed video and motion analysis to fine-tune takeoff timing and aerodynamics. On the training side, Google Cloud’s Granville Valentine, who shared the stage with White, described AI models that can map an athlete’s skeletal structure and center of gravity with extraordinary precision, then translate mountains of velocity and rotation data into plain-language coaching cues between runs — in close to real time.
Contrast that with how White’s generation learned. Riders filmed each other on camcorders, guessed at what went wrong, and decided who would attempt a dangerous new trick first with little more than nerve. Today, he noted, AI can model how a trick will load an athlete’s body before they ever attempt it — a tool that could prevent the kind of season-ending or career-ending injuries that have always shadowed action sports.
For young athletes, that injury-prevention angle may end up mattering more than the performance gains. Youth sports has long had an access problem: kids with private coaches, biomechanics labs, and recovery specialists pull away from equally talented kids without them. If AI tools genuinely become affordable and widespread, the gap between the well-resourced athlete and the scrappy one narrows — which is precisely the future White says he’s rooting for.
He was careful to add a caveat that any athlete will appreciate: data is a tool, not the sport. White warned against drowning in metrics to the point of “analysis paralysis,” stressing that risk, spontaneity, and human skill are still what make sports worth watching — and worth playing.
Source: Fortune
Your Sports Nation is an independent sports media collective covering NIL, high school and college sports, the pros, sports tech, and sports culture. Our editorial team delivers accurate, original analysis and news for the next generation of sports fans.
Leave a Reply