A new initiative, the NSF State and Regional Artificial Intelligence Infrastructure Hubs programme, aims to drive AI-enabled scientific discovery and innovation across disciplines.
“Artificial intelligence is transforming how we conduct research, accelerate scientific discovery and address complex challenges across disciplines,” said Brian Stone, performing the duties of the NSF director.
“The State and Regional AI Infrastructure Hubs programme supports a national mission to advance AI for science by expanding access to critical AI resources, strengthening state and regional ecosystems, and developing the workforce capabilities needed to harness these technologies. Through this effort, we can empower researchers, students and communities to advance AI-enabled science and drive the next generation of scientific breakthroughs.”
The USD 100 million initiative, run by the National Science Foundation (NSF), will expand access to compute, data and other AI resources that researchers, students and educators require.
Currently, AI infrastructure is uneven across the USA. The NSF will initially support up to 10 AI Infrastructure Hubs. Specifically, the NSF will invest in AI infrastructure professionals with technical expertise to support the application of AI infrastructure for scientific discovery and invest in training. Each hub will partner with regional industry to align AI for science workforce development with local job market needs.
The program responds to core recommendations in Science: A New Golden Age, a report published by White House Office of Science and Technology Policy Director Michael Kratsios in July 2026, which lays a policy foundation for renewing America’s research and development enterprise.
Recently the NSF launched an investment programme to advance scientific community datasets and enable innovation through AI.
