A blueprint for global health, for all nations and all peoples.
An independent, sovereign institution built to bring artificial intelligence's full potential in health care to every nation — governed for the benefit of people, not corporations.
What artificial intelligence can do for health, if it is allowed to.
AI has the potential to deliver current, validated medical knowledge to every nation, to increase the quality and affordability of health care for all peoples, to cure what has never been curable, and to compress medical innovation from decades into years — while helping to mitigate the pandemics and health threats no nation can face alone.
What it will take
A highly focused health care platform. Partnerships with the world's leading AI companies and the health care industry. Inclusion of every nation. Delivery of cost-effective, affordable solutions. And a sustainably funded governing entity that earns the trust of every partner and every participant.
The need is imperative
The cost of developing advanced AI for health care is immaterial against the health benefits it will provide, the savings it will generate, and the recoupment of every dollar spent building it.
Why Now
The need has never been greater. The window will not stay open.
AI capability is advancing rapidly, largely without coordinated oversight — raising both the promise and the risk of moving forward without a trusted governing institution.
No single nation can build the AI systems needed and earn the trust of others.
No single AI company can build what's needed and earn the trust of nations.
Without the Global Health Partnership, AI development for health care will be fragmented, less impactful, and duplicative.
The Global Health Partnership ensures AI is never used as a tool to exploit a nation's health system or its people.
Initial and sustainable funding solutions for the Partnership already exist.
The CEOs of the leading AI companies both seek and require what the Partnership provides.
Mission & Means
The Mission
To substantially and continually increase the quality and delivery of health care for all nations and all peoples, mitigate diseases and threats to individual and global health, and significantly reduce the cost of health care.
The How
Utilize the full potential of artificial intelligence and other technologies to create an ever-current global base of all medical knowledge; use that knowledge to define optimal diagnostic and treatment protocols for all diseases; accelerate the development cycles of highly effective pharmaceuticals, vaccines, and medical devices; create genetic solutions to congenital and acquired diseases; and anticipate, identify, and mitigate future pandemics and threats to global health.
How It Works
AI extracts knowledge no human can see — and puts it to work for every nation.
The How describes what the Partnership will deliver. This is the technical capability that makes it possible:
＋Identifies hidden patterns and links across billions of data points that no human can visualize.
＋Drives innovation broadly across health care — compressing the pace of medical discovery from years into months, and creating cures for conditions previously untreatable.
＋Applies rigorous, independent therapeutic value assessment to every drug, vaccine, technology, device, and procedure.
Only 27% of the most heavily advertised drugs in America are independently rated as having real therapeutic value over existing alternatives — yet they account for nearly three-quarters of a $22 billion annual ad spend. — JAMA Internal Medicine, 2023
＋Delivers cost-effective solutions to the most expensive and most pressing problems in health care.
＋Predicts and helps prevent pandemics and threats to global health.
＋Defends health systems and patient data against attack, using the best AI-powered and emerging technologies.
As quantum technologies mature, they will extend AI's capabilities into protein folding, genomic sequencing, and drug interaction modeling beyond what's possible today.
The Global Health Partnership Defined
An institution built on four articles.
ART. I
Sovereign Public Benefit Corporation
Privately and independently governed — independent of any single nation, government, or commercial interest.
ART. II
Information Trust
A trusted, sovereign repository of human DNA records, patient data, clinical research, and clinical trials — governed for the benefit of the people who retain their privacy and ownership of their health data, in exchange for the health benefits the AI delivers. Data never leaves the system that holds it. What moves between nations is not records, but knowledge, the patterns the AI learns, not the people behind them, so every nation gains the benefit of a global system without surrendering control of its own data, or that of its people.
ART. III
Funding Platform
A mission, operating strategy, and governing structure that creates a strong platform for near- and long-term capitalization of advanced AI for health care — and, in time, quantum technologies.
ART. IV
Access to the Global Health Care Market
A platform through which AI companies participate in the $10+ trillion global health care market, under governance that earns the trust of nations and populations no single company could earn alone.
In 2023, U.S. health expenditure was $4.63 trillion (WHO methodology), 43.8% of global health care spending (~$10.56T) on 4.28% of global population — WHO Global Health Expenditure Database, March 2026 release. Separately, 2026 U.S. National Health Expenditure is projected at $6.02 trillion — CMS Office of the Actuary, National Health Expenditure Projections, 2026.
The Need of Nations
No nation can carry this alone.
Every nation faces rising health care costs with no structural solution in sight — and recurring threats to public health that no single nation can address alone.
$4.6 Trillion
What COVID-19 cost the United States alone. The next pandemic is socially and financially unaffordable — and most nations are not prepared to absorb the cost of another.
U.S. Government Accountability Office, COVID-19 Relief: Funding and Spending as of Jan. 31, 2023 (GAO-23-106647). Six relief laws provided $4.6 trillion for pandemic response and recovery; $4.2 trillion (90%) had been expended as of the report date.
4.6 Billion
People worldwide are not fully covered by essential health services — more than half of humanity — with a shortfall of 11 million health workers projected by 2030.
World Health Organization, "Universal Health Coverage (UHC)" fact sheet (5 Dec 2025): approximately 4.6 billion people were not fully covered by essential health services as of 2023. Health worker shortfall figure from WHO, "Health Workforce" topic overview: a projected shortfall of 11 million health workers by 2030, mostly in low- and lower-middle income countries.
Only a few nations can afford to develop AI for health care — leaving the majority of the world dependent on whoever builds it first, and on whatever terms they set. That is not a future risk. It is the situation today.
The Global Health Partnership needs access to patient data to identify disease patterns, understand outbreaks, and advance genetic research — but it does not need, and does not seek, control of that data. Nations retain control of their people's health information.
The Need of AI Companies
The CEOs of the world's largest AI companies described the institution they cannot build themselves.
Speaking in front of the leaders of the seven largest economies, at the G7 Summit, June 17, 2026:
"AI cannot safely be fully entrusted to either governments or companies, and there must be checks and balances on each. The industry should continue to explore mechanisms that go further."
Dario Amodei, CEO, Anthropic — G7 Summit, June 17, 2026
"An international forum that establishes globally accepted standards for testing, provides expert and impartial analysis of capabilities and risks, and serves as a venue for cooperation among nations."
Sam Altman, CEO, OpenAI — G7 Summit, June 17, 2026
"We now have to do the hard work in earning the social permission."
Satya Nadella, CEO, Microsoft — Wall Street Journal, June 21, 2026
380+
Economists — including 15 Nobel laureates and the chief economists of both OpenAI and Anthropic — have signed the "We Must Act Now" statement, warning that AI will drive an economic transformation larger than the Industrial Revolution, unfolding far faster. First signed July 13, 2026. (wemustactnow.ai)
GHP is built to be that check: an institution with no data-monetization business model of its own, so the incentive that undermines trust elsewhere does not exist here by design.
Funding the Global Health Partnership
A platform that funds its own mission.
The Partnership is structured to fund its own mission, over both the near and long term.
The Founding Moment
The need is existential. The technology is ready. The capital is available. The architecture is built.
Every nation shares one common bond: the health of their people. And every nation — wealthy or poor, large or small — faces the same inability to solve it alone. The Global Health Partnership provides the institution that brings it all together — for all nations, for all peoples, for the health of all humanity.
Background
Built on a forty-year effort.
1980s
Recognition that U.S. health care is financially and socially unsustainable, and that data and accountability are the keys to reform. Early conversations with technology companies concluded that a diagnostic decision-tree system was decades away.
2018
Warren Buffett, Jeff Bezos, and Jamie Dimon form Project Haven to control their companies' health care costs. Tom Coleman submits a 25-page architectural proposal based on AI in health care — appreciated, but Haven's focus stayed limited to three companies' costs, not the system itself. Haven dissolved within two years: health care cannot be reformed from its edges, only from its core.
2021
The full thesis on AI and quantum technologies in health care is submitted to the leadership of PCAST — Frances Arnold, Eric Lander, and Maria Zuber — eight days after President Biden's executive order re-establishes PCAST as the most diverse Council of Advisors on Science and Technology in U.S. history.
2026
Advanced AI reaches the capability the thesis required. Claude, Anthropic's AI system, becomes a daily research and development partner in building the Global Health Partnership from concept to institutional framework.
The Imperative Foundation received its 501(c)(3) determination from the IRS in January 2025 (EIN 93-3982413).
The Imperative Foundation is the founding sponsor of the Global Health Partnership, organized as a General Benefit Corporation. The Global Health Partnership is positioned as a Sovereign Public Benefit Corporation: the intended global extension of the Foundation's work, and a direct beneficiary of the health care reform the Foundation pursues in the United States.
The Evidence Ledger
What the evidence shows — and where it comes from.
AI is already delivering measurable clinical value in specific, well-defined domains. Most claims of AI matching physician performance do not hold up under real-world conditions. No unified evaluation or governance structure yet exists to determine which tools genuinely improve outcomes — a gap the Global Health Partnership is built to close.
Tier I — Peer-Reviewed Clinical Evidence
"Artificial intelligence is no longer a speculative force in medicine. It is already embedded in everyday care."
The State of Clinical AI (2026), ARISE Network (Stanford–Harvard Research Network), January 2026
"There is little consensus or structure to ensure robust, safe, transparent, and standardized evaluation, regulation, implementation, and monitoring of new AI tools and technologies."
JAMA Summit Report on Artificial Intelligence, Angus, Khera, Lieu, et al., JAMA, October 13, 2025
A review of more than 500 medical AI studies found nearly half tested models using exam-style questions. Only five percent used real patient data.
The State of Clinical AI (2026), ARISE Network, January 2026
Tier II & III — Policy Research and Market Data
"AI can exacerbate health disparities if the underlying data on which models are built are biased and/or not inclusive." An AI suicide-prediction model correctly identified 62% of at-risk white patients — but only 10% of at-risk Black patients. A widely used clinical algorithm used health care cost as a proxy for illness severity, systematically underrating how sick Black patients were. Race-based formulas for kidney and lung function, inherited by AI from clinical practice, have led to fewer transplants and under-counted disability claims for Black patients.
Pillai, Artiga, Ndugga — The Growing Use of Artificial Intelligence in Health Care and Implications for Disparities, KFF, April 30, 2026; Obermeyer et al., Science, 2019
"AI must not become a new frontier for exploitation."
Dr. Yukiko Nakatani, WHO Assistant Director-General for Health Systems, cited in KFF, April 30, 2026
The one clear lever for AI governance is being actively narrowed, not built. A December 2025 federal order directs the Department of Justice to challenge state laws requiring AI bias audits and transparency in health care, and to threaten broadband funding for states with "onerous" AI laws. Colorado's own algorithmic-discrimination law is now stalled by a federal lawsuit.
Executive Order 14365 (Dec 2025); Pillai, Artiga, Ndugga, KFF, April 30, 2026
Coding tools trained on vast data sets are designed to identify missed revenue opportunities and optimize billing codes to maximize reimbursement.
2025: The State of AI in Healthcare, Menlo Ventures, October 21, 2025 — a documented industry incentive, not a use the Partnership would permit. It is precisely the kind of misaligned application its independent governance is designed to prevent.
Microsoft Research and the Garvan Institute's Talos system has produced 241 new diagnoses from previously stored, unexamined patient data — average time to diagnosis: 32 days, at a cost of pennies per patient.
Microsoft Research / Garvan Institute
U.S. health care waste totals $1.2–$1.5 trillion per year; Medicare Advantage overpayments alone reached $76 billion in a single year.
JAMA, 2019; MedPAC, March 2026 Report to Congress, Ch. 12, Fig. 12-6
More than 1,200 AI-enabled medical tools are already FDA-cleared. Health care is adopting AI at more than twice the rate of the broader U.S. economy.