US Government to Spend $5 Billion Using AI to Crack Chronic Disease and Drug Discovery
Fifteen federal agencies will share the funding and gain access to government supercomputers to run AI experiments on some of science's hardest problems.
Key points
- The Trump administration announced $5 billion in federal funding for AI-driven scientific research on Wednesday.
- Fifteen US government agencies will receive a share of the money.
- Goals include finding the root causes of chronic diseases, speeding up drug discovery, and developing longer-lasting building materials.
- Scientists will get access to Department of Energy supercomputers and specialised datasets to run experiments.
- The administration also plans to shift research funding toward individual scientists and AI projects rather than universities.
The Trump administration announced on Wednesday that the United States will spend $5 billion putting artificial intelligence, the technology behind tools like ChatGPT, to work on some of science's hardest problems. Fifteen federal agencies will share the money.
Michael Kratsios, chief technology adviser to President Donald Trump, told Reuters that participating scientists will get access to the Department of Energy's supercomputers, machines thousands of times more powerful than a typical laptop, along with specialised AI tools and datasets, the large organised collections of data that AI systems learn from.
The targets are ambitious: uncover the actual causes of chronic illnesses, find new medicines faster, develop longer-lasting building materials. Running experiments in the physical world is slow and expensive. AI can sift through enormous amounts of existing research, spot patterns humans would miss, and flag which experiments are worth trying next. Done well, that could cut years off the time it takes a new treatment to reach patients.
Private industry is already betting heavily on the same idea. When we covered Bristol Myers Squibb's decision to open a new NVIDIA supercomputer cluster to every researcher in the company on 22 July, it underscored how much pharma expects AI compute to become a basic scientific input. This federal programme would extend that kind of resource to government labs.
What does this mean for ordinary people?
Patients with chronic conditions could see better treatments arrive faster than they otherwise would. That's the ambition. Large government science programmes, though, routinely take a decade or more to produce results that anyone outside a laboratory can feel, and the administration hasn't detailed which agencies receive which portions of the $5 billion, or on what timeline.
Should researchers worry about the funding shift?
The administration says it wants to route more money directly to individual scientists and AI-focused projects rather than through universities. Universities provide shared labs and support staff that independent science depends on, so the change is genuinely disruptive. How the new model would work in practice hasn't been spelled out.
What matters most here is the gap between the headline number and the operational detail. Five billion dollars pointed at drug discovery is meaningful, but without clarity on which agencies get what, and when, it's a statement of intent more than a programme. Watch for the agency-level allocations.
The Guardian AI first reported the core details of the announcement.
