Project Stargate: What Is it?

A $500 billion public-private partnership may be building the infrastructure for a biodigital caste system based on our DNA

More bad news!

You may remember how, on January 21, 2025 — as soon as he was back in office — President Trump announced a $500 billion private/public partnership for something called, with a sci-fi flourish, “Project Stargate”? The press conference featured our Pedophile-in-Thief alongside tech executives Larry Ellison of Oracle, Sam Altman of OpenAI, and Masayoshi Son of SoftBank. They claimed the project will enhance national competitiveness against China in the race to “AGI”, and accelerate medical research, specifically the effort to “cure cancer” through so-called precision medicine.

However, investigative reporting into the project suggests that Stargate’s main function is less about medical research and more about social control. The likely goal is the construction of the infrastructure for a genomic surveillance system. According to investigators like the “Drey Dossier,” an independent journalist (subscribe to her Substack), the scale of power requested for Stargate—ten gigawatts, roughly equivalent to the output of ten nuclear power plants—far exceeds the needs of conventional research facilities. Such a level of computing power would be needed if you intended to process vast amounts of data, such as digitalizing and analyzing hundreds of millions of human genomes, each one containing six billion bits of information.

Why are they doing this?

The integration of mass genomic data with advanced artificial intelligence allows for the creation of powerful predictive models regarding human health and behavior. This capability could lead to the establishment of what critics call a “biological caste system,” where individuals are permanently classified, given opportunities, or denied services based not on their actual history, but on predictions derived from their DNA.

While behavior patterns may change and disguises can be worn to fool cameras, our genetic information is indelible and inescapable.

Independent journalists Whitney Webb and James Corbett have long warned that the infrastructure for a “biosecurity state” was under construction through the quiet merger of intelligence agencies and Big Tech. Webb, author of One Nation Under Blackmail, argues that the U.S. government has sought to privatize mass surveillance to bypass constitutional restrictions. She calls this network, the “Thielverse,” with companies like Oracle and Palantir functioning as the data-processing wing of the national security state. This public-private fusion allows the state to “outsource the violation of civil liberties” to corporate partners who operate largely behind the scenes.

James Corbett has focused on “biodigital convergence,” a governance model where biological status becomes a prerequisite for participating in society. He argues that the ultimate goal of these systems is to transform the citizen into a managed biological asset, stating that “the biosecurity state is the operating system of the new world order,” where “public health” serves as the pretext for a level of intrusive monitoring and control that intelligence agencies could never achieve through political means alone. Project Stargate seems to be the culmination of these unappealing trends.

The central figure in this multinational effort is Larry Ellison, the chairman of Oracle. Ellison has been involved with the CIA since his early days. Over the past several years, Ellison has strategically positioned his company to control vast amounts of personal data. While much attention has been paid to “surveillance capitalism” involving behavioral data collected by social media and advertising firms, Ellison has focused on more permanent datasets.

In June, 2022, Oracle made a $28 billion acquisition of Cerner, a major provider of electronic health records. This purchase gave Oracle control over billions of medical records globally. Many people give their DNA away during routine medical screenings, without reading the small print of the release form, which doesn’t prevent the use of their data by predictive AI companies. The U.S. government already collects migrants’ genetic data, and seeks to expand its abilities to take people’s DNA at the border.

According to the Drey Dossier investigation, Ellison seeks total information awareness, moving beyond tracking what consumers buy to tracking their genetic imprint. He has stated openly that he plans to create a tracking system that keeps all of us on our “best behavior” at all times. By integrating people’s health records with the massive computing power of Stargate, Oracle gains the capacity to process genetic information at an industrial scale. Ellison has publicly touted the ability of this combined system to design individualized cancer vaccines quickly, framing the effort purely in terms of benevolent medical progress.

Project Stargate is not solely an American enterprise. Its structure involves complex international partnerships that complicate regulatory oversight. A critical partner in the broader AI and genomic ecosystem connected to Stargate is G42, an artificial intelligence company based in the United Arab Emirates (UAE). While presented as a commercial tech firm, G42 appears to be an arm of the Emirati state’s intelligence apparatus. It operates under the chairmanship of Sheikh Tahnoun bin Zayed, the UAE’s National Security Adviser.

G42 has been previously implicated in a mass surveillance scandal, through its affiliates. In 2019, an investigation by The New York Times revealed that ToTok, a popular messaging app, was a spying tool used by the UAE government to track the conversations, movements, and relationships of its users globally. The UAE had banned all other messaging apps except for this one, which sent all user data directly to its intelligence agency. The technical infrastructure for ToTok was linked directly to G42 associated entities.

G42 has ties to BGI Group, a Chinese genomics giant. BGI is known for its role in building genetic databases for the Chinese government, which has used genomic surveillance to monitor minority populations like the Tibetans and Ughyurs. Critics argue that partnering with G42 allows American tech companies and the U.S. government to utilize surveillance capabilities and data practices that would otherwise face legal challenges. The scheme involves creating a global system that is difficult for any single nation to regulate.

The collection of genomic data for these systems does not typically occur through coercion, but through routine medical processes. The primary mechanism is the standard consent form signed by patients during doctor visits, blood tests, or biopsies. These forms often contain broad legal language authorizing the use of biological samples for unspecified “research purposes.” Patients, believing they are contributing to benign scientific studies or cancer research, sign away rights to their genetic material. Once obtained under this pretext, the biological samples can be sequenced, digitized, and aggregated into commercial databases owned by companies like Oracle or its partners.

Once our DNA data is digitized, it can be fed into powerful artificial intelligence models, such as those being developed by OpenAI, another partner in Project Stargate. The ultimate output of processing this genomic data through AI is the generation of “polygenic risk scores.” Traditional genetic testing usually looks for single gene mutations that cause specific, rare diseases. Polygenic risk scores are different. AI can analyze thousands of genetic variants across a person’s entire genome to calculate a statistical probability of that person developing complex traits or conditions in the future. These scores attempt to predict not only medical conditions like heart disease or diabetes but also behavioral and psychiatric traits, such as intelligence, susceptibility to addiction, or mental stability.

One danger, according to privacy advocates and ethicists, lies in how these scores will be used, whether by the government or commercially. If this data becomes available to insurance companies, for instance, they could use algorithmic risk assessments to set premiums or deny coverage based on a predicted future illness, rather than a pre-existing condition. Similarly, employers could potentially use these scores to screen job applicants, filtering out individuals whose genetic profiles suggest a higher risk of future healthcare costs or perceived behavioral liabilities. Also, there is the more extreme possibility of precision-targeted bioweapons that only kill those with certain genetic markers.

This scenario creates the basis for a “biological caste system.” In such a system, individuals with “optimal” genetic profiles would be fast-tracked for loans, employment, and insurance, while those with “high-risk” profiles would face systemic barriers and higher costs. Because genomic data is hereditary and permanent, these disadvantages could be passed down through generations.

Current legal protections in the United States are not set up to prevent this outcome. The Genetic Information Nondiscrimination Act (GINA) of 2008 prohibits discrimination by health insurers and employers based on known genetic tests. However, legal experts argue that GINA was written before the advent of AI-driven genomics. It does not explicitly cover discrimination based on probabilistic scores generated by proprietary algorithms, which function like black boxes to the consumers being assessed. Technology evolves faster than government’s capacity to regulate it — and now we have a government that seeks deregulation of private industries.

Project Stargate represents a seismic shift in the scope and invasive power of surveillance. By moving from behavioral patterns to hereditary biological data, the infrastructure creates the potential for a permanent system of classification and prediction that individuals cannot opt out of or escape. This would have extremely negative consequences for the future of human freedom. But who is going to stop it?