MAHA Goes Digital: RFK Jr.’s Algorithmic Medical State

Health and Human Services (HHS) Secretary Robert F. Kennedy Jr. headlined this week’s MAHA Summit in Washington, where officials, physicians, entrepreneurs, insurers, and health-tech executives discussed chronic disease, healthcare costs, nutrition, early detection, psychedelics, artificial intelligence, and the growing use of health data.

Kennedy used the event to push two ideas in particular: giving AI a much larger role in personal healthcare and linking vast stores of Americans’ health data so researchers and machines can search them for answers.

Apparently, after decades of advocacy and litigation involving chronic disease, environmental exposures, vaccine injuries, and corporate capture, the causes of America’s poor health remain stubbornly unclear and now require “AI superintelligence” to unravel.

“Better Informed” Than Your Doctor

Kennedy made his ambitions clear during a “fireside chat” with Vice President JD Vance at the MAHA Summit on Tuesday.

He began by invoking a recent conversation with OpenAI CEO Sam Altman.

According to Kennedy, Altman told him:

Two years ago, I wouldn’t have advised anybody to take medical advice alone from AI. But today, it would be malpractice for a doctor to make a diagnosis or to make a prescription without at least checking AI.

Kennedy went further.

He said HHS wants every American to have digital access to personal medical records from a phone.

A patient, he noted, could have a 1,000-page medical history. A doctor may have only minutes to examine it.

AI would not face that limitation.

“The AI can … distill it,” Kennedy said, adding:

It can give you a second opinion that is much better informed than any doctor in the country. 

That statement quickly drew opposition from major medical organizations.

AI vs. Medical Tyranny

Kennedy sees another attraction in AI.

He believes it can break the authority of the medical establishment:

One of the things that is gonna change is that we’re never ever again gonna be able to be dominated by public officials who tell us, “Trust the experts,” because every American will be able to check their own medical advice.

They could check government advice as well.

Kennedy immediately reached for the Covid years:

And if somebody tells you, “Masks work; trust the experts,” AI may tell you otherwise. If somebody tells you, “Social distancing works; trust the experts,” AI may correct that. And if somebody tells you that a vaccine will prevent transmission and infection, “Oh, you need to take it to protect your grandmother,” AI may say it actually doesn’t do that.

He concluded:

So it really has the capacity … to free us from medical tyranny.

The concern he invokes is hardly imaginary. During Covid, federal and state authorities imposed sweeping policies under both the Donald Trump and Joe Biden administrations. Officials often presented contested or evolving judgments with far more certainty than the evidence warranted. Kennedy built much of his political appeal by challenging precisely that concentration of power.

But his proposed remedy deserves equal scrutiny.

Trust the Algorithm?

Kennedy built his brand on successfully exposing regulatory capture by Big Pharma and other powerful industries. One could therefore expect MAHA to focus on dismantling unconstitutional, centralized federal health authority and returning responsibility to patients, physicians, states, and local communities.

Instead, Kennedy has decided to place remarkable confidence in AI.

His framing comes close to treating it as an arbiter above both doctors and public-health officials. But AI is not some neutral “superintelligence” floating above institutional interests.

The systems Kennedy is praising are built and controlled by large technology companies. OpenAI and Anthropic both had senior representatives at the MAHA Summit, underscoring MAHA’s growing relationship with major corporate and technology players.

It is also easy to imagine Kennedy’s Covid example working very differently in practice.

An AI system trained to rely heavily on the Centers for Disease Control and Prevention (CDC), the Food and Drug Administration (FDA), major medical associations, and dominant scientific publications in 2020 or 2021 could easily have assured users that masking, distancing, vaccination, and other interventions were lifesaving and firmly supported by expert consensus. It might also have warned that early treatments were ineffective or dangerous.

Notably, during Covid, Big Tech made consequential decisions about which health claims counted as misinformation and which official sources deserved priority. That included companies such as Google and Meta, some of the same firms now represented on Trump’s White House tech advisory board.

An AI assistant could reproduce that same hierarchy of authority while appearing far more neutral than a government spokesman.

And AI is hardly infallible, as Kennedy himself learned the hard way. It can hallucinate facts, miss context, reproduce flawed assumptions, and generate different answers depending on how a question is framed.

Kennedy acknowledged that AI has “upsides and downsides.” But his broader argument casts it as far more reliable than human “experts.”

Build the Database First

Kennedy’s vision also requires something else before AI can assume this expanded role: data, and lots of it.

One day before the MAHA Summit, Kennedy appeared at the MAHA Institute’s Open Data Summit titled “Building a Health Data Architecture for America.”

Data, he said, is “essential” to the MAHA mission. Americans should become “CEOs of their own health,” with medical records on their phones and AI tools to help interpret them.

But Kennedy wants the data to do much more. It must be “put to work” to answer a larger question: “Why are Americans so sick?”

He attacked the healthcare system’s information “silos”:

We generate enormous amounts of laboratory results, of medical images, of prescriptions, of claims data, of electronic health records, genomic data, immunization records, and data from wearables. But hospitals, insurers, pharmacies, laboratories, and government systems hold that information in separate silos.

HHS itself has 32 information systems that historically did not “talk to each other,” he said. The department is now working to standardize and connect data across agencies including the FDA, CDC, and Centers for Medicare and Medicaid Services.

“Your health information should follow you wherever you go,” Kennedy argued.

He described Medicaid as especially useful for research because it contains records on “hundreds of millions of lives,” including children followed over many years. Medicare adds vast information on older Americans and people with disabilities.

Kennedy also cited FDA surveillance systems, commercial platforms, and state datasets as potential pieces of the same architecture.

AI, he said, can finally make the combined data useful.

“Studies that used to take years, you can do them literally in seconds,” Kennedy said. “You can ask questions and you can get immediate answers.”

Across millions of patient histories, he added, AI could find patterns “that human beings could never find by reading those records one at a time.”

Digital Leviathan

For now, AI is not a recognized standard of medical care. Nevertheless, Kennedy appears eager to move fast.

And his health-data vision does not exist in isolation.

The Trump administration is pursuing a much broader campaign to eliminate federal “information silos.” As we reported, that broader push could make it possible to assemble increasingly detailed profiles of Americans without ever creating a single master database.

At HHS, the process is already well underway.

Last year, we reported on federal efforts to combine Medicare and Medicaid claims with pharmacy, laboratory, genomic, insurance, wearables, and other health records officially for autism and chronic-disease research.

Then came the administration’s broader “Digital Health Ecosystem,” developed with major insurers, technology companies, healthcare systems, and AI firms to make health records portable and interoperable across apps and providers.

The architecture is virtually indistinguishable from the model promoted globally by the World Health Organization’s Global Strategy on Digital Health and the World Economic Forum’s Digital Healthcare Transformation Initiative. Both emphasize interoperability, data sharing, and interconnected digital-health systems.

Each piece of this emerging “ecosystem” can be defended in isolation, promising better access, faster research, less paperwork, earlier diagnosis, and more personalized medicine.

Taken together, however, they point toward something far more dystopian: a digital infrastructure capable of continuously assembling, linking, and analyzing the most intimate details of millions of Americans’ lives.

Add AI to that architecture, and “personalized medicine” begins to look uncomfortably close to personalized surveillance.

The danger is not simply that government may know too much. It is that an increasingly automated system may know, infer, classify, and act on that information at a scale no human bureaucracy ever could.