NSF boosts AI readiness

The National Science Foundation is rolling out a national program to make more Americans ready to use artificial intelligence, not just build it. (nsf.gov) The effort is called TechAccess: AI-Ready America, and NSF posted the solicitation on March 25, 2026. The agency said it will fund one coordinating organization and up to 10 pilot projects. (nsf.gov) NSF said the program is meant to reach “every U.S. state and territory” and extend beyond schools to businesses, public-serving organizations and individuals. The goal is to help people “understand, apply and create” with AI. (nsf.gov) Artificial intelligence systems can sort patterns in data, generate text or images, and help automate routine work. NSF’s new program focuses on the step after the model exists: whether workers, local institutions and communities have the training, tools and support to use it. (nsf.gov; brookings.edu) The solicitation says projects should strengthen coordination, use local and state priorities, fill gaps in access, and scale approaches that already work. It also says the initiative is “unlike” K-16 education programs because it targets adoption by adults, employers and community institutions too. (nsf.gov; nsf.gov) At an April 14 introductory webinar, NSF said the program is being run through its Directorate for Technology, Innovation and Partnerships with the directorates for Computer and Information Science and Engineering and STEM Education. The U.S. Department of Agriculture’s National Institute of Food and Agriculture is also listed as a partner. (nsf.gov) Federal News Network reported that NSF Assistant Director Erwin Gianchandani described the push as increasing “AI readiness nationwide” and stressed ownership, acceptable controls and simple workflows before wide deployment. That framing puts guardrails and day-to-day usability alongside access. (federalnewsnetwork.com) The program arrives as federal agencies and outside analysts describe a different bottleneck in AI: not only computing power, but trust, talent and implementation capacity. Brookings wrote on April 15 that federal adoption is accelerating, but shortages of talent and trust still slow deployment. (brookings.edu) NSF has spent decades funding core AI research, and it also leads the National Artificial Intelligence Research Resource pilot, which expands access to computing, data, models and expertise for research and education. AI-Ready America shifts attention from research infrastructure toward practical diffusion across workplaces and communities. (nsf.gov; nsf.gov) A workshop report behind the initiative said about 100 experts met to examine AI diffusion, access and adoption, and grouped the challenge into state and local coordination, nation-scale efforts, domain strategies, and learning pathways. That report described “institutional infrastructure” as the missing layer between the technology and the people expected to use it. (nsf.gov) NSF’s next step is to choose the national coordinator and pilot awards under the 2026 solicitation. The agency is betting that AI adoption will depend as much on usable pathways and controls as on the models themselves. (nsf.gov; federalnewsnetwork.com)