The U.S. announced a $5 billion initiative to employ AI in tackling long‑standing scientific problems, including chronic disease research, drug discovery and more durable construction materials. Scientists will gain access to Department of Energy supercomputers, specialized datasets and AI tools, and 15 federal agencies will participate. A White House report proposes shifting more funding toward individual researchers and AI-driven projects, a move the administration says will improve oversight. Microsoft has pledged $40 million in AI computing credits to support the program.
U.S. Unveils $5 Billion AI Research Initiative To Accelerate Health, Materials And Scientific Discovery
First lady Melania Trump hosts a ceremony for the inaugural Presidential AI Challenge National Champion Awards in Washington
WASHINGTON, July 22 — The U.S. government announced a $5 billion initiative to apply artificial intelligence to long‑standing scientific challenges across multiple fields, the Trump administration said in a statement on Wednesday.
The funding will support projects ranging from identifying root causes of chronic diseases and speeding drug discovery to developing longer‑lasting construction materials and other advanced materials science goals. Officials said the effort aims to pair domain expertise with large-scale computing and machine learning to accelerate discoveries that have stalled for decades.
Participating scientists will gain access to Department of Energy supercomputers, specialized datasets and AI tools, along with other infrastructure needed to run algorithm-driven experiments, Michael Kratsios, the chief technology adviser to President Donald Trump, told Reuters.
Fifteen federal agencies are slated to take part, including the Departments of Health and Human Services, Energy, Transportation, Defense and the Interior. The White House said the initiative is intended to coordinate work across agencies so domain-specific research can benefit from shared AI capabilities.
Funding Model And Policy Changes
A White House report authored by Kratsios and released Tuesday night outlines plans to reshape how federal research is funded, proposing greater direct support for individual scientists and increased use of AI tools rather than channeling the bulk of funds through universities. The administration says the change would allow closer oversight and more targeted investment in AI-driven science.
"Federal support for science must be politically accountable," the report states.
The proposal arrives amid the administration's broader push in a second term to exert more control over federal research allocations, an effort that has already faced legal challenges. In January, an appeals panel ruled the administration could not unilaterally cut NIH grant funding that had been awarded to universities conducting scientific and medical research.
Data And Partnerships
Officials noted that AI systems require large, high‑quality datasets to detect patterns, generate predictions and automate decisions. The federal government controls many of the world’s largest datasets — from chemical and critical‑minerals inventories to health records — which the initiative aims to responsibly leverage to train models and answer cross‑domain scientific questions.
Microsoft has pledged to support the effort by donating $40 million in AI computing credits over three years, the company said in a statement.
The initiative combines federal computing resources, commercial cloud support and agency datasets to create a national-scale testbed for AI-driven scientific discovery, with the goal of producing faster, more reproducible results in health, materials and other strategic research areas.
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