RFK Jr wants AI to mine Americans' health data for vaccine links

US Health and Human Services Secretary Robert F Kennedy Jr has called for Americans' medical and lifestyle data — from doctor's visits to exercise records — to be connected, shared with the government and independent researchers, and made searchable by AI, including for potential links between vaccines and health outcomes such as autism and mortality.

Kennedy laid out the vision at a Maha event hosted by a close ally described as an outspoken anti-vaccine activist. The "chronic disease epidemic," in Kennedy's framing, is the problem this data infrastructure is meant to address.

The proposal puts one of the federal government's most senior officials behind a plan that would aggregate health information at unprecedented scale and hand analytical power to AI systems — while explicitly directing that analysis toward vaccine-outcome questions that the scientific establishment considers long settled.

What does Kennedy actually propose?

According to the source report, the health secretary's vision covers three connected layers:

• Collection: medical and lifestyle details spanning doctor's visits and exercise data.
• Sharing: routing that information to the government and to independent researchers.
• Analysis: making the pooled data searchable by AI, including for potential associations between vaccines and outcomes including autism and mortality.

Kennedy is the secretary of the US Department of Health and Human Services (HHS) and a longtime vaccine skeptic, as the source report notes. The event where he spoke was hosted by a close ally and outspoken anti-vaccine activist, under the Maha banner — the "Make America Healthy Again" movement Kennedy has championed.

Why the stakes are high

The proposal touches three of the most contested areas in US health policy at once: data privacy, federal research priorities, and vaccine safety messaging.

HHS is the department that houses the nation's core public health agencies. A secretary who wants medical records, lifestyle data and government datasets connected and opened to AI-driven searching is describing a structural change to how American health information flows — not a single study or a single dataset, but a connected infrastructure.

The framing matters as much as the plumbing. Kennedy's stated target is what he calls a "chronic disease epidemic," and he explicitly suggested that AI-searchable data could surface potential links between vaccines and outcomes including autism and mortality. Decades of research have found no causal link between vaccines and autism, a finding repeatedly reaffirmed by major scientific bodies — which is precisely why a cabinet-level push to re-run that analysis with AI on pooled population data would draw intense scrutiny from researchers and clinicians.

There is also the privacy question. Medical and lifestyle data shared with the government and independent researchers, then queried by AI, raises consent, security and re-identification issues that any such program would have to answer for — none of which are addressed in the outline as reported.

Who is behind the event?

The venue itself signals the political coalition behind the idea. Kennedy delivered his remarks at a Maha event hosted by a close ally described in the source report as an outspoken anti-vaccine activist. That places the proposal inside a movement that has already made vaccine skepticism and chronic-disease rhetoric central to its identity, rather than inside a conventional public-health or research conference.

For HHS, the distance between this setting and the department's traditional scientific apparatus is part of the story. Kennedy has spent years as a vaccine skeptic before taking the department's top job, and his data vision reflects that history: the same infrastructure pitched as a tool against chronic disease is pitched, in the same breath, as a way to probe vaccine-outcome questions.

What comes next?

The source report describes a vision, not an implemented program. The open questions are concrete: which datasets HHS would actually connect, what legal mechanism would authorize sharing medical and lifestyle data with government and outside researchers, which AI systems would do the searching, and what oversight would apply.

Each of those steps would require the department to move from rhetoric to regulation, procurement and data-sharing agreements — terrain where privacy law, research ethics and political opposition would all come into play. Whether Kennedy can translate an expansive outline delivered at an ally's event into operating federal infrastructure is the question that will decide whether this becomes policy or positioning.