Google Research has unveiled an investigational machine learning framework that converts passive data from consumer wearables into a "coachable health age," a metric built from habits users can change. The model draws on resting heart rate, daily step count, sleep duration and weekly Active Zone Minutes, with optional inputs such as VO2max, sleep regularity and insulin resistance. Rather than predicting birth year, as many existing biological clocks do, it is grounded in published epidemiological research linking everyday behaviours to cardio-metabolic disease. The company reports that people whose health age exceeded their calendar age were significantly more likely to develop hypertension, cardiovascular disease or type 2 diabetes over eight years in a cohort of 22,748 participants in the All of Us research program. The metric also improved disease risk prediction when added to age, sex and body mass index, particularly for adults under 50, and aligned better than age-trained clocks with a modified American Heart Association cardiovascular score and metabolic syndrome severity. The framework adds a sensor world model, called SensorWM, trained on more than 2.2 million person-weeks of wearable data. It simulates 12-week "what-if" trajectories, such as the effect of sleeping 30 minutes longer or adding a brisk daily walk, and a language model agent turns those simulations into coaching plans. The researchers say the plans were reviewed by clinicians. A companion study extends the approach to routine blood biomarkers to detect early strain across the heart, kidneys and metabolic system. The work is still investigational and has not been released as a consumer product, and the article does not say whether or when wearable makers will adopt it. For Australian businesses and professionals, this changes nothing immediately, since there is no product to buy or regulation to meet yet. Anyone considering health-tracking apps or wearable-based coaching should note that health information is treated as sensitive information under the Privacy Act 1988, so the privacy terms of any future product will matter. Employers running wellness programs should treat any health-age claims as research-stage until independent validation is published.