Redazione RHC : 26 November 2025 08:29
US President Donald Trump signed an executive order, ” Launching the Genesis Mission,” establishing a national program for the use of artificial intelligence in science. The document was published on the White House website .
The preamble compares the initiative to the Manhattan Project in scope and urgency and promises ” a new era of scientific discovery accelerated by artificial intelligence.” According to Politico , presidential science adviser Michael Kratsios calls the Genesis Mission ” the largest mobilization of federal scientific resources since the Apollo program .”
U.S. Secretary of Energy Chris Wright, an entrepreneur who made his fortune in fracking , has been tasked with coordinating the program. The order requires the Department of Energy to pool scientific data from the agency and other federal agencies and, based on this, create basic scientific models and artificial intelligence systems to automate experiments and analyze data.
To this end, the Genesis Mission will implement the U.S. Science and Security Platform, which utilizes national laboratory supercomputers and secure cloud environments. The document explicitly addresses tasks such as automated experimental design, accelerated modeling, and the use of artificial intelligence for forecasting in fields ranging from nuclear fusion to materials science and microelectronics .
The decree details the activities for the coming year. Within 60 days, the Ministry of Energy must submit a list of at least 20 key scientific and technological tasks of national importance. After 90 days, the agency is required to prepare an inventory of available computing resources and, after another 120 days, define a set of initial datasets and models and a plan to link data from other agencies and universities.
Within 240 days, the potential of the ” robotic laboratories ” must be assessed, and after 270 days, the first demonstration case of the platform must be presented. After one year, and annually thereafter, the Ministry will report on the platform’s progress and results.
The Genesis Mission builds on a series of existing AI-related executive orders, which the Trump administration has compiled on a separate government portal, AI.gov .
It lists documents that include orders encouraging the export of American AI technology stacks and preventing the adoption of ” woke AI ” within federal agencies. The new initiative is positioned as a more ambitious and integrated level, designed to connect AI to fundamental research.
At the same time, critics point out, the administration is implementing massive cuts to traditional science funding . According to PBS , the U.S. Supreme Court has authorized a cut of approximately $783 million to the health research budget.
A separate series of cuts has affected climate science. MIT Technology Review reported the closure of over a hundred climate studies funded by the National Science Foundation ; this assessment is also supported by industry reviews and summaries, such as Free Government Information and Nature.
According to the Sabin Center for Climate Change Law at Columbia University, the administration has also cut nearly $100 million in funding for NOAA’s weather, ocean, and climate research arm.
Against the backdrop of these decisions, a battle is raging in the United States over university diversity and inclusion programs. According to the Guardian , the State Department plans to exclude 38 universities from the Diplomacy Lab research partnership because of their use of DEI approaches in their personnel policies.
Ultimately, the Genesis Mission is being launched both as a large-scale technological project and as a politically controversial move. Supporters hope that the government’s AI platform will truly accelerate fundamental discoveries and increase the return on federal science investments. Skeptics point out that the bill repeatedly emphasizes its dependence on existing budgets and the phrase ” subject to availability of appropriations .”
Against the backdrop of cuts to traditional research programs, relying on “automated science” appears risky . The initiative’s true impact will only be clear from initial reports from the Department of Energy and the concrete projects that can be implemented on this platform.
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