Next-gen AI-enabled fitness wearables will function more like coaches than spreadsheets. Instead of just counting steps, they’ll suggest things like how many steps you need to work off excess calories or how to add more steps into your day.

As AI wearables “learn” your behavior, they can better predict health events prior to requiring acute care – ultimately making them more powerful for individuals and their overall healthcare ecosystem.

In an odd turn of events Pokemon Go has set the standard for fitness wearables. The game’s success has given an insight into how engaging applications can be when AI is implemented in a user friendly way.

Fitness wearables are still in the early days of their evolution from devices that count our steps to truly helpful preventative health devices. AI will help with this evolution by looking behaviour patterns and matching behaviour to health outcomes and disease symptoms.

In a few years, we’ll know on a micro and macro level how activity levels correlate with overall health and wellness. For example, we’ll know, how 30 minutes of cardio versus 45 minutes impacts sleep quality on average.

Using AI to learn that a particular user responds well to positive reinforcement compared to negative enforcement could make all the difference between persistent use and “fitness fatigue”.