Funding for a $20 million artificial intelligence lab aimed at enhancing weather forecasts has been halted by the Trump administration. This decision threatens both the pipeline of scientists and the nation’s capability to evaluate the effects of hurricanes and other weather-related disasters.

According to Amy McGovern, the director of the Institute for AI2ES (AI Institute for Heather and Weather, Climate, and Coastal Oceanography), the National Science Foundation (NSF) informed the institute last month that it would not extend its five-year grant.

McGovern, who serves as a professor of meteorology and computer science at the University of Oklahoma, stated:

She emphasized that, without private funding, the institute may have to close its doors next year.

AI2ES collaborates with various universities to integrate AI into weather forecasting while evaluating its reliability.

This move to shut down AI2ES occurs as the Trump administration is heavily investing in AI and accelerating the establishment of data centers. The administration’s own AI plan advocates for the development of AI systems and programs aimed at fostering AI vocational training programs and specialized AI labs across various scientific fields.

In July, the administration unveiled an ambitious plan to achieve “global dominance” in artificial intelligence, emphasizing both innovation and its implementation—key areas of focus for AI2ES.

Alan Gerald, the former director of the National Intensive Storm Institute at the National Oceanic and Atmospheric Administration, described the cut as “dissonance” in light of this trend toward advancing technology.

The White House has not responded to requests for comments regarding this matter.

The institute was established in 2020 under the previous Trump administration as part of the NSF’s AI research labs, having received around $20 million in funding over the past five years. An NSF spokesperson, Michael England, stated that the agency holds the AI Institute’s groundbreaking work in high regard.

The National Science Foundation is fully committed to advancing artificial intelligence research through the National AI Research Institute Program, a pivotal aspect of the administration’s strategy to reinforce the US’s leadership in transformative AI.

NSF and its collaborating partners have provided funding for a network of 29 AI institutes. This year, AI2ES was one of five labs updated through the NSF, with three labs having received updates, while the status of the fourth remains pending, according to McGovern.

The Trump administration has proposed a 55% budget cut for the NSF; however, Congress has not yet ratified the budget. Senate and House appropriations have diverged from the Trump administration’s proposals, suggesting smaller cuts to scientific institutions like the NSF.

“We were an AI lab, so we believed we were secure, given our alignment with the president’s priorities,” McGovern noted.

The Trump administration’s AI plan aims for NSF and other organizations to expose K-12 students to AI careers, develop industry-driven training programs to generate AI jobs, and bolster workforce initiatives to enhance the nation’s AI talent pool.

“They desire a more robust AI-trained workforce. We were doing a significant amount of work,” McGovern emphasized.

She expressed concern that private AI firms are “poaching talent constantly,” as the institute funds around 70 positions each year at various universities, creating a talent pipeline. Among the institute’s achievements are over 130 academic publications and the development of AI tools used by the government today.

The center aided in the creation of AI tools that predict weather events potentially endangering sea turtles near Corpus Christi, Texas, making these animals susceptible to hazards onboard vessels.

Additionally, the institute developed an application enabling forecasters to “see” within hurricanes, even without a polar orbit satellite equipped with a microwave sensor capable of penetrating storm clouds. This application utilizes data from Earth-measuring satellites that cannot penetrate clouds and simulates the internal structure of a hurricane.

The center is also investigating how forecasters evaluate the reliability of AI tools developed by private companies, including Google.

“We have social scientists who engage with end-users to comprehend their trust in AI, their reservations, and what improvements are necessary,” remarked McGovern.

According to Gerald, if the center were to shut down, it wouldn’t adversely affect current weather forecasting but could limit innovation and place the nation at a disadvantage.

“Many other countries are heavily investing in AI-related weather research, like China. They risk falling behind many nations committed to enhancing weather forecasting,” Gerald concluded.