Bipartisan Bill Aims to Accelerate US Research with National AI-Powered Cloud Labs Network
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A new legislative effort seeks to dramatically improve the pace of scientific discovery in the United States by establishing a nationwide network of interconnected, cloud-based laboratories. The bill, introduced last week by Senators John Fetterman (D-PA) and Ted Budd (R-NC), proposes leveraging artificial intelligence (AI) to enhance collaboration and streamline research processes.
The proposed legislation would task the National Science Foundation (NSF) with leading the development of the network, with support from the National Institute of Standards and Technology (NIST). If enacted, the NSF would select up to six programmable cloud laboratories from applications submitted by academic institutions and private-sector research organizations. NIST would then be responsible for establishing operational standards and assessing the potential for future expansion of the network.
Building on Existing Momentum
The initiative builds upon existing efforts to expand access to emerging technologies. In August, the NSF already earmarked $100 million for a similar AI-powered cloud network, signaling a growing commitment to modernizing the nation’s research infrastructure. According to the bill’s sponsors, the legislation also aligns with provisions outlined in the Trump administration’s AI Action Plan, aiming to formalize and accelerate ongoing NSF proposals.
“Integrating our nation’s world class laboratories will increase the rate of breakthroughs, streamline and better automate the research process, and reduce the barriers and costs that throttle experimentation,” Senator Budd stated in a press release issued Monday.
Prioritizing Automation and Data Integration
The NSF will evaluate potential cloud laboratory applicants based on several key criteria, including their existing capabilities in data integration and automated research infrastructure. The capacity to support multi-user cloud workflows will also be a significant factor in the selection process. Researchers in Pennsylvania and North Carolina – the home states of the bill’s sponsors – have already pioneered methods for easing automated discoveries, which will serve as a model for the national effort.
Broad Support for the Initiative
The bipartisan bill has garnered support from a diverse range of stakeholders, including officials at Carnegie Mellon University, the Accelerate Science Now coalition, and the Allegheny Conference on Community Development.
“The National Programmable Cloud Laboratories Network Act is a green light for the future of American science,” said Joshua New, director of policy at nonprofit SeedAI and organizer of Accelerate Science Now. “Investing in AI-enabled automation and cloud-connected laboratories will accelerate discovery timelines, bring our research infrastructure into the modern era, and ensure that federal science investments translate into tangible benefits for the American people.”
This initiative represents a significant step towards bolstering US leadership in scientific innovation, promising to unlock new possibilities and accelerate the pace of discovery across a wide range of disciplines.
Written by Lindsey Wilkinson
Lindsey Wilkinson is a reporter for FedScoop in Washington, D.C., covering government IT with a focus on DHS, DOT, DOE and several other agencies. Before joining Scoop News Group, Lindsey closely covered the rise of generative AI in enterprises, exploring the evolution of AI governance and risk mitigation efforts. She has had bylines at CIO Dive, Homeland Security Today, The Crimson White and Alice magazine.
