Health Moonshots in the Age of Superintelligence
A clarion call for a global ‘Health Moonshots Race,’ where the most advanced AI systems compete not on test scores, but on curing disease, extending healthy life, and transforming human health.
The age of superintelligence has arrived, reshaping healthcare at a pace even the boldest futurists underestimated. As AI accelerates discovery, democratizes expertise, streamlines administrative tasks, and rewrites how care is delivered, our once-distant vision of achieving global health moonshots is shifting from audacious dream to attainable reality. The question now is how we guide this transformation—-and how fast we can elevate our collective imagination to use these tools with purpose, urgency, and ambition. We finally have the technological foundation to pursue health moonshots at full speed.
To rise to this moment, we need to challenge the world’s leading AI platforms to a new kind of race—-a Health Moonshots Race—one measured not by math scores or language exams but by weekly benchmarks like: curing Alzheimer’s, diabetes, cancers, and reducing suffering for billions.
We have entered a new era, one where AI-powered science and technology are redefining what’s possible in discovery, patient care, and global access. Speaking personally—-as someone who has spent my career working with thousands of innovators—-I have never witnessed momentum like this. It feels different. The last time I felt like this was the early nineties when I first used the World Wide Web.
Today’s shift is more profound.
Just a few years ago, mapping a protein or designing a promising drug candidate required armies of scientists and years of painstaking work. Today:
AlphaFold 3 is modeling proteins, nucleic acids, and molecular interactions with precision that has become foundational to modern biology.
Isomorphic Labs, Google’s AI drug discovery company, is signing multi-billion-dollar partnerships with Novartis and Eli Lilly to co-develop medicines designed directly by AI.
Autonomous, “self-driving” labs operate around the clock, compressing months of experimentation into days.
Multimodal medical AI models interpret imaging, labs, genomics, and patient histories simultaneously—already matching or surpassing specialist-level performance in radiology, ophthalmology, dermatology, and triage.
And for the first time, anyone (whether you have insurance or not) can access medical-grade guidance and mental-health support that would have been unavailable or unaffordable a year ago. My personal dream of “a million doctors in your pocket” is already emerging.
Capabilities once reserved for elite institutions or decades of incremental research are becoming accessible to anyone with a connected device.
This is not incremental improvement.
It’s a magic leap.
And a new generation of founders is leaping with it—building AI-first platforms, vibe-coding useful protoypes in minutes, and reimagining how we diagnose, treat, prevent, and live healthier lives. We now exist in a post-ChatGPT world, where every product, workflow, and care model built before 2022 is being re-designed from first principles. From the back office to the bedside to the home, transformation is underway.
This is the moment health moonshots become truly achievable.
A moment when billions can gain access to medical guidance.
A moment when the marginal cost of life-changing services approaches zero.
A moment when discoveries that once took decades can materialize in months—or even hours.
But here’s the critical question:
If AI can decode biology, design drugs, and run entire labs autonomously, how to we inspire the world’s leading models to compete to cure Alzheimer’s, diabetes, cancers, and the chronic conditions affecting billions?
The challenge is no longer technological possibility.
It is human intention.
The question is not whether AI will transform healthcare.
The question is when we will direct more of that compute—and more of our brightest AI researchers, doctorpreneurs and health innovators—toward universal access, better outcomes, and meaningful progress for all.
The time is now.
We cannot afford to wait for cures and breakthroughs that are within our line of sight. It is time to set new benchmarks for superintelligence. Time to unite the world’s builders and technologists around shared purpose. Time to inspire healthy competition among the world’s leading platforms to solve humanity’s most urgent health moonshots.
Let’s make the coming years the moment when health moonshots become reality—-for everyone.




This framing about redirecting compute power toward actual health outcomes rather than benchmark scores is brilliant. The biggest unlock here isn't just that AlphaFold3 or autnomous labs exist, but that we can now coordinate these capabilties toward specific disease targets instead of optimizing for abstract metrics. I'm kinda curious though how incentive structures wil need to shift for AI labs currently racing to beat eachothers's test scores.