The Department of Energy's environmental cleanup arm is turning to artificial intelligence to speed up one of the world's largest and most hazardous remediation efforts, a move that aligns with President Trump's push for U.S. dominance in AI technology.
Under the DOE's Office of Environmental Management, which oversees the cleanup of Cold War-era nuclear waste, AI tools are already being used to optimize processes, improve worker safety, and cut costs. The effort is part of the broader Genesis Mission, a government-wide initiative that the department calls a "generational scientific endeavor" comparable to the Manhattan Project.
"AI is not a far-off idea; it is a practical and powerful tool we can use right now to deliver faster, safer, and more cost-effective progress," the office said in a statement. The Genesis Mission brings together national labs, AI companies, and decades of scientific data to boost efficiency across federal missions.
At the Savannah River Site in South Carolina, digital twins and neural-network models are replicating chemical processing facilities to identify improvements in filter cleaning and operational strategies, reducing downtime. Similar techniques are being considered at the Hanford Site in Washington state to refine waste treatment processes.
AI and machine learning are also accelerating analysis of decades of tank waste data, helping move hazardous material out of at-risk storage more quickly. The office said these tools reduce uncertainty and speed up cleanup timelines.
Worker safety is a key focus. At Hanford and Savannah River, employees are being retrained to operate autonomous robots in high-radiation areas, dramatically lowering exposure. AI-enabled mercury-monitoring networks at Oak Ridge help identify safe demolition windows for legacy buildings, and at the Waste Isolation Pilot Plant in New Mexico, AI is automating tracking of disposal cells to remove workers from hazards.
Environmental monitoring is getting smarter too. At Savannah River, pairing AI with advanced sensors in groundwater remediation is reducing unnecessary sampling and enabling real-time response, potentially saving hundreds of millions of dollars. Similar efforts are expanding to Hanford and Moab.
"Every hour saved, every avoided delay, and every improvement in efficiency translates to faster cleanup and real savings for taxpayers," the office said. The push comes as the Trump administration mobilizes a government-wide effort to strengthen AI leadership, with the DOE's cleanup mission serving as a high-profile test case.
Meanwhile, a recent poll found a plurality of Americans want to ban betting on election outcomes, reflecting ongoing public skepticism about technology's role in sensitive areas. The DOE's AI push, however, focuses on operational gains rather than political controversies.
The office stressed that AI supports human expertise rather than replacing it, and that the United States has the talent and infrastructure to lead in this field. "Nations that lead in AI will lead in innovation and secure their prosperity," the statement concluded.
