‘AI goes to alter ladies’s efficiency analysis from the underside up’ – Kristen Faulkner inputs 4,400 hours of non-public coaching historical past and beneficial properties ‘actionable’ output
There’s nothing synthetic about Faulkner’s abilities. Olympic champion on the monitor, Olympic champion on the street, Grand Tour stage winner, gold medals at Pan American and US Nationwide Championships, what else can Kristen Faulkner do on a motorbike?
With assist from Synthetic Intelligence, Faulkner is now assured that her laptop science background from Harvard College will result in extra racing success.
“The analysis I wanted about my very own physique didn’t exist. So I constructed it with AI,” Faulkner led on a submit to her LinkedIn account.
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“For 9 years, I collected biometric information that I struggled to synthesize. Coronary heart price. HRV. Sleep. Weight. Energy. Temperature. Coaching load. Menstrual cycle phases. Bloodwork. DEXA scans.
“Each app gave me one piece of the story, however the reply was by no means in a single app. It was in the way it all interacted. So I constructed a system that pulls within the information sources I really use as an athlete and runs them in opposition to 4,400 hours of my very own coaching historical past. It doesn’t simply present me dashboards. It builds private fashions of my physiology.
“Each mannequin is skilled on my physique. Each discovering is restricted to my historical past. And each output is actionable, not simply fascinating.”
She defined within the submit that she devoted the final two months to coding all her varied information, typically head down on the laptop for 10 hours at a time. She had numerous questions and determined to speculate her time and abilities to find the solutions. And it paid fast advantages.
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“I used this to assist me put together for the Pan Am Championships, the place I gained 3 gold medals this 12 months. Immediately, I produced my finest 20-minute energy ever with coaching assist from this app,” she famous within the submit on Tuesday.
The Alaska native gained her first Grand Tour phases in 2022 on the Giro d’Italia Donne, sporting the chief’s jersey after the prologue after which taking the mountain classification title after successful stage 8. On a Continental workforce in 2024, she had her large breakout season, successful a stage at Vuelta España, the primary of two USPro street titles after which double golds on the Paris Video games, one in Workforce Pursuit and one within the elite ladies’s street race.
Her 2025 season ended with a crash on the Tour de France Femmes, which led to shoulder surgical procedure and restoration time. However she wasted no time in proving her health was again at its finest this 12 months, incomes three gold medals in 4 races at Pan American Championships in Chile, monitor victories in Workforce Pursuit and Particular person Pursuit after which every week later with a time trial win on the street.
The fervour for efficiency was fueled by a scarcity of analytics. And he or she famous that that is frequent within the sport for girls.
“So little efficiency analysis is completed on ladies, notably concerning the wants of elite feminine athletes. So I took issues into my very own palms, and I began writing the analysis myself. I didn’t need to maintain ready for another person to review the questions that matter to my physique,” she famous.
“AI goes to alter ladies’s efficiency analysis from the underside up, and I need to be part of it.”
It isn’t simply coaching numbers which Faulkner scrutinises. She has additionally been attentive and vocal about well being points, particularly racing weight for expectations for vitality output, watts per kilogram. She shared final 12 months on a brand new Instagram account, @f.e.e.d_powr (Fuelling for Endurance, Power, and Sturdiness), arrange by her teammate Cédrine Kerbaol, that she gained a pair of gold medals on the Paris Olympic Video games “by not altering her physique, however by working with it”. Now she’s digging deeper for optimum efficiency.
Now, a brand new course of may result in her first stage on the Tour de France Femmes. However finally, she stated she was coaching to not defend her Olympic gold in two years’ time.
“I labored in enterprise capital. I actively put money into AI firms. I race on the Girls’s WorldTour. I’m coaching to defend Olympic gold on dwelling soil in LA 2028. I’ve utilized all of that data to constructing this.
“I got here into biking late. I didn’t win as a result of I had the deepest race historical past or essentially the most expertise. I gained as a result of I used my mind as a lot as I may. Earlier than my first European race, I made flashcards of the riders, I studied each nook of each course, and I analyzed my information rigorously. I’m doing the identical factor now, with AI.”
