Fitbit is working with Google Research to create an LLM based on Gemini to provide Fitbit mobile app users with personalized data and health recommendations
Google is training Gemini on health data, and it's creating a new AI model for the Fitbit app that can give advice tailored to your needs.
PCMagKate Irwin
Context & Ripple Effects
This is an early step in Google’s effort to make Gemini useful through personal data rather than as a standalone chatbot. Later coverage shows that approach expanding through opt-in Gemini personalization across Google services.
Fitbit provides a mobile health-data surface for that strategy. The subsequent rollout of a screenless Fitbit wearable with Gemini-powered features and Gemini coaching under Google Health Premium makes this app-model work a foundational product direction rather than an isolated experiment.
First-order effects
Fitbit app users are positioned to receive Gemini-based interpretations of their own health data and tailored recommendations, moving the app beyond passive tracking.
Google and Google Research gain a Fitbit-specific health AI application for Gemini, tying the model directly to an existing consumer health product.
Second-order effects
Wearable-health rivals will face pressure to match conversational, personalized guidance—not just measurements—within their own apps and subscriptions.
The usefulness of Fitbit’s service becomes more dependent on users allowing their data to inform recommendations, making data permissions and trust central to product adoption.
Third-order effects
If this pattern holds, consumer health platforms will compete on AI-mediated interpretation of longitudinal personal data, not merely sensors or dashboards.
As health recommendations become a core AI feature, governance around sensitive-data use and the limits of automated advice will become a defining constraint on product design.
The trend: This is one data point in the shift toward ambient, personalized AI services built into consumer devices and the data ecosystems around them.
Google wants to know a lot about everyone's health and activity because they can do more with your data than you can by keeping it private, how selfish of you not to be keen on that [embedded post]
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In the next ten years, @HospitalsApollo will use our AI models to provide free tuberculosis, lung cancer and breast cancer - helping thousands more people across India access care sooner. More from our latest #TheCheckUp announcement: https://blog.google/...
Google's new Personal Health LLM will bring personalized coaching and other health and wellness experiences to our users. At #TheCheckUp, we shared how Fitbit and Google Research are partnering with experts to develop (cont) http://spklr.io/...
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Excited to share our newest work! 📝 Evaluation of LLMs is hard, especially for health equity. We provide a multifaceted human assessment framework, 7 newly-released adversarial datasets, and perform the largest human eval study on this topic to date. 🧵: https://arxiv.org/... [ima…