The Future of AI-Powered Human Performance

Main points — free preview

• Consumer wearables now generate continuous streams of heart rate, sleep, activity, and recovery data — creating datasets large enough for machine learning, but not automatically large enough for trustworthy predictions.
• Peer-reviewed research on wearable-derived metrics (including heart rate variability, sleep staging, and strain scoring) shows genuine signal for training load and recovery — alongside well-documented limits in accuracy, generalization, and overfitting.
• AI-powered human performance is most credible when it augments coaching and clinical judgment with longitudinal baselines — not when it replaces physiology with dashboard scores.