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Rock Health’s 11th Consumer Adoption of Digital Health Survey reveals that AI adoption in healthcare doubled in a single year, and the patients leading the charge are more engaged, more informed, and more demanding than ever.
Something shifted in American healthcare in 2025, quietly, without a policy mandate or a hospital rollout. Patients began consulting AI chatbots before calling their doctors, tracking their sleep alongside their blood pressure, and arriving at clinical appointments armed with AI-generated research. Rock Health’s newly released 11th Consumer Adoption of Digital Health Survey, which polled 8,000 U.S. adults in December 2025, puts hard numbers to what many clinicians are already sensing: one in three Americans (32%) now uses an AI chatbot for health information, double the figure recorded just one year earlier.
The most striking finding in the Rock Health data is not the adoption rate itself, but who is driving it. The survey describes a new archetype: the healthcare ‘superuser’, a user who is proactively engaged with their own health data well before they interact with any clinician.
AI users in the survey track an average of four distinct health metrics, compared to three among non-users. The gap widens considerably on lifestyle indicators. Forty-three percent of AI users track sleep, versus 28% of non-users. Forty percent monitor their diet (vs. 28%), 41% track physical activity (vs. 32%), and 35% monitor stress levels (vs. 22%). This is a patient who is not waiting for an annual check-up to understand their own body.
Crucially, this AI-assisted self-monitoring is not replacing clinical care, it appears to be intensifying it. AI users report higher healthcare utilization across both virtual and in-person settings than their non-AI counterparts. When they do arrive at a clinical encounter, they come prepared.
A common concern about consumer health AI is that patients will use chatbots to self-diagnose and avoid the healthcare system altogether. The Rock Health data complicates that narrative. Eighty-one percent of AI users report taking a tangible action following an AI query, searching for further information, adopting a new health behaviour, or directly scheduling a consultation with a provider.
The tools they are turning to are also telling. Nearly three-quarters of AI health users reach for general-purpose platforms such as ChatGPT. By contrast, chatbots offered by hospitals and health systems captured just 5% of this audience, while payer-offered bots attracted a mere 4%. Patients are not waiting for the healthcare system to build polished AI interfaces, they are routing around it entirely.
Every previous wave of digital health adoption, from wearables to premium telehealth, followed a predictable pattern: early uptake concentrated among higher-income, higher-education populations, with broader access coming slowly, if at all. Rock Health’s 2025 survey breaks that mould.
Because the dominant AI tools in this space are free and widely available, the survey found no meaningful differences in AI health adoption across income or education brackets. The divide that does exist is generational. Millennials report the highest adoption rate at 48%, followed by Gen Z at 45%. Adoption drops significantly in older cohorts, 25% among Gen X, 12% among Baby Boomers, and 7% among the Silent Generation.
The speed of this shift has outpaced consumer awareness of its risks. AI users are significantly more willing than non-users to share sensitive health data with health technology companies (23% vs. 11%) and consumer technology companies (15% vs. 4%). Most general-purpose AI tools operate outside the jurisdiction of HIPAA, meaning there is no statutory duty of confidentiality and limited accountability if a model produces an inaccurate health recommendation.
Both AI users and non-users continue to place the highest trust in their clinicians, 85% and 88% respectively, suggesting the patient-provider relationship remains the anchor of the healthcare system. But as patients increasingly seek health guidance from platforms built for general-purpose productivity, the question of who is responsible for the accuracy and safety of that information is becoming more urgent.
Rock Health’s survey is an annual benchmark, and the year-on-year doubling of AI adoption is the sharpest single-year jump the series has recorded. With 64% of current AI health users engaging weekly or more, the trend has moved well past early-adopter territory. The healthcare system’s challenge, and opportunity, is to meet this newly informed, data-literate patient population where they already are.
To explore how AI is influencing healthcare and longevity, join the conversation at MedTech World North America | West Palm Beach 2026, taking place from 11 to 13 May. The discussion continues during the panel “From Lab to Lifespan: AI, Aging & the Future of Longevity Innovation,” where industry leaders will examine the real-world impact of AI across the care continuum. Be part of the conversation and secure your ticket.
