Amazon has rolled out an artificial intelligence-powered healthcare assistant for members of its primary care chain, One Medical, marking its most concrete step yet in embedding generative AI directly into patient care workflows and intensifying competition with OpenAI, Anthropic, and other tech firms eyeing the lucrative health sector.
The new tool, called Health AI, is now available to One Medical members through the company’s app. It relies on large language models hosted on Amazon’s Bedrock platform to answer health-related questions and offer personalized guidance informed by a member’s medical records, lab results, and current prescriptions. Beyond information, the assistant can help manage medications and schedule appointments with a user’s One Medical provider.
The launch builds on Amazon’s $3.9 billion acquisition of One Medical in 2023, a deal that signaled the company’s ambition to move beyond logistics and cloud computing into frontline healthcare delivery. One Medical operates a network of physical clinics alongside telehealth services, with membership fees ranging from $99 to $199 annually.
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Amazon is careful to draw boundaries around the new feature. The company says Health AI is not designed to diagnose conditions or recommend treatments, and it should not replace consultations with medical professionals. Instead, Amazon says the assistant is “programmed with clinical protocols” that flag symptoms or situations requiring escalation to a provider or an in-person visit, an acknowledgement of the regulatory and ethical sensitivities surrounding AI in medicine.
The company began piloting Health AI with a limited group of One Medical members last spring, gradually expanding access ahead of Wednesday’s broader rollout. That testing period reflects a cautious approach in a sector where trust, accuracy, and patient safety are paramount, and where missteps can carry legal and reputational consequences.
Amazon’s move comes amid a rapid acceleration of AI deployments across healthcare. Earlier this month, OpenAI introduced ChatGPT Health, allowing users to upload medical records and receive tailored health insights within its chatbot. Anthropic followed closely with Claude for Healthcare, positioning its system as a tool for clinicians and healthcare organizations. The convergence highlights how generative AI providers are racing to secure early footholds in a market defined by high spending, complex data, and long-term customer relationships.
Amazon is pitching its offering as more tightly integrated and practical than rivals. Unlike standalone chatbots, Health AI does not require users to upload documents or link external apps. Because it is embedded within One Medical’s system, the assistant can access existing records and act directly, whether by coordinating care or booking appointments.
Neil Lindsay, senior vice president of Amazon Health Services, framed the distinction in stark terms.
“Other AI health chatbots provide general health information,” he said in a statement. “One Medical’s Health AI assistant knows your health story, takes action on your behalf, and keeps your trusted providers in the lead. It’s the difference between getting answers and getting care.”
That positioning underscores Amazon’s broader strategy. Rather than offering AI as a standalone product, the company is weaving it into an end-to-end healthcare experience that combines physical clinics, telehealth, cloud infrastructure, and now generative AI. The approach mirrors Amazon’s playbook in other industries, where it leverages scale and integration to lower friction and keep users within its ecosystem.
The commercial stakes are significant as healthcare remains one of the largest and most complex sectors of the U.S. economy, accounting for trillions of dollars in annual spending. For Amazon, AI-enabled care tools could help improve patient engagement, reduce operational costs, and justify premium membership fees, while also driving usage of its Bedrock AI services behind the scenes.
At the same time, the rollout raises familiar questions about data privacy, transparency, and accountability. Health AI’s reliance on sensitive medical information places it under intense scrutiny from regulators and consumer advocates, particularly as policymakers continue to debate how generative AI should be governed in high-risk domains.
For now, Amazon appears intent on moving deliberately, emphasizing guardrails and provider oversight. Whether that balance will satisfy patients and regulators, while still delivering the efficiency gains Amazon is known for, will likely determine how far Health AI can reshape primary care.
What is clear is that the contest to define AI’s role in healthcare is shifting from experimentation to execution. With Health AI, Amazon is no longer just watching from the sidelines. It is placing a direct bet that generative AI, tightly coupled with real-world care delivery, can become a core pillar of modern medicine — and a meaningful growth engine for the company itself.