Can AI Actually Make You Faster?

AI isn't just a hype cycle—it's already reshaping how elite athletes like Olympic champion Kristen Faulkner optimize performance, but its real power lies not in replacing coaches, but in amplifying human judgment. Adam Pulford, head coach at CTS, argues that while AI can analyze training data faster than any human and spot gaps like missing VO2 max work, it fails where it matters most: understanding life stress, emotional context, and the nuanced art of timing workouts within a full athlete’s life. He warns that self-coached athletes risk overtraining if they blindly follow AI-generated plans lacking situational awareness—like a VO2 block starting today with no regard for upcoming races, family demands, or mental fatigue. The most dangerous trap? AI reinforcing your biases by confirming what you already believe, turning insight into self-fulfilling prophecy. Yet, when used correctly—by experienced coaches who understand physiology and data—AI becomes a supercharger for decision-making, freeing time for real coaching. Tools like Vecta, TrainingPeaks’ new updates, and Strava’s new Claude connector are early signs of a shift, but none yet match the human touch. The future isn’t AI vs. coach—it’s AI + coach, with the human still in the loop for what machines can’t feel: the weight of a tired leg, the fear of a descent, the rhythm of a life in motion.