In this episode of the Athletes Compass Podcast, Mollie Brewer—sports scientist and PhD researcher—explores the fine line between using training technology as a helpful tool and becoming overly dependent on it. Drawing from research across collegiate and endurance sports, Mollie explains how GPS watches, power meters, HRV, and AI platforms can either reduce cognitive burden or create “techno stress” when athletes chase numbers instead of listening to their bodies. The conversation highlights data literacy, pacing mastery, individualized training, and why the best outcomes come from triangulating data, bodily awareness, and life context rather than letting metrics dictate every decision.

1. Training technology works best when it supports decision-making, not replaces it
2. Chasing metrics can increase anxiety, reduce enjoyment, and harm performance
3. Data can both “get athletes out of their head” and “get athletes into their head”
4. Over-testing and constant measurement can reduce data quality and athlete engagement
5. Athletes need data literacy to understand trends, noise, and context
6. Effective training comes from triangulating data, bodily feel, and life demands
7. AI and wearables should adapt to the athlete—not force the athlete to adapt to them
8. Social sharing of data (e.g., Strava) can amplify techno stress

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