Trump Launches Genesis Mission: AI-Powered Scientific Research Initiative Aims to Double US Innovation

Trump's AI 'Genesis Mission': what are the risks and opportunities?

The White House has launched a plan to accelerate research in the United States, by building artificial intelligence (AI) models on the rich scientific data sets held by the country's 17 national laboratories, as well as harnessing their enormous computing resources. An executive order issued on 24 November instructs the US Department of Energy (DoE) to create a platform through which academic researchers and AI firms can create powerful AI models using the government's scientific data. Framed as part of a race for global technology dominance, it lists collaborations with technology firms including Microsoft, IBM, OpenAI, Google and Anthropic, as well as quantum-computing companies such as Quantinuum. Such a vast public-private partnership would give companies unprecedented access to federal scientific data sets for AI-driven analysis. The effort, dubbed the Genesis Mission, aims to "double the productivity and impact of American research and innovation within a decade", in a variety of fields from fusion energy to medicine. The project expects to "unlock breakthroughs in medicine, energy, materials science, and beyond", says Michael Kratsios, the US president's science adviser. It also aims to build AI agents -- general models with the ability to harness tools such as specialized software and coding suites -- that can generate hypotheses and automate research workflows. Labs around the world are already training AI systems on scientific data, to boost their capabilities in scientific domains and attempting to use AI models to make discoveries. But some researchers remain sceptical that general AI tools are capable of making truly fresh insights, and warn that their inherent flaws make the value of agents unclear. The new US initiative formalizes and expands ongoing AI research efforts by the administration of President Donald Trump. "The impact is that it enables many more scientists and researchers to have access to all of the infrastructure that they need to explore important scientific questions that the country cares about," says Lynne Parker, a robotics engineer at the University of Tennessee, Knoxville, and who led AI-policy initiatives for the administrations of Trump and his predecessor, Joe Biden, but was not involved in the current initiative. "That really has not been possible before." Trump's team has been working to funnel money and attention to AI projects even as it tries to gut federal research spending more broadly. The White House has the power to shape the direction of research at the DoE's network of national laboratories. It did not give an estimated price tag for the AI initiative; any extra funding beyond the laboratories' normal budgets would have to be approved by the US Congress. Nature looks at how the project might affect researchers and AI companies, and its promises and risks. The scale and timeline of the plan is ambitious. In 60 days, the DoE is expected to create a list of 20 potential science and technology challenges for the project to tackle, in areas of national priorities such as nuclear fusion, quantum information science and crucial materials. The agency is supposed to create a full inventory of available federal computing resources and identify initial data assets to use, then work out how to safely include external data sets. The administration expects to demonstrate the platform's capability for one of these research challenges in nine months. These early steps will probably build on projects that are already under way at the national laboratories. For instance, Oak Ridge National Laboratory in Tennessee has been working on advancing AI research using a hybrid approach that uses both quantum and classical computing. Lawrence Berkeley National Laboratory in California is using AI to find ways to speed up network traffic. The "DoE has been making a case for 'AI for science' for over seven years, and this executive order is the starting pistol to get on with it", says Michael Norman, an astrophysicist at the University of California San Diego and former director of the San Diego Supercomputer Center. "It is an exciting direction indeed." The project has named more than 50 collaborating companies, including some that have already been working on their own 'AI scientists'. FutureHouse, a start-up based in San Francisco, California, for instance, launched a commercially available, AI-driven research platform earlier this month. The precise role of these private companies in the Genesis plan remains unclear -- although Trump's executive order says the project will entail "collaboration with external partners possessing advanced AI, data, or computing capabilities or scientific domain expertise". Such partnerships could include research agreements to jointly develop technologies, or a user-facility agreement for external researchers to conduct work in government facilities. Chip-manufacturing and computer companies such as NVIDIA, Advanced Micro Devices and Hewlett Packard Enterprise have reportedly agreed to build facilities in national labs, according to a report by The New York Times. Some partnerships are already under way. In October, for instance, Argonne National Laboratory in Illinois announced a partnership with NVIDIA and technology firm Oracle to build two next-generation AI supercomputing systems. At least two national laboratories already have arrangements with the company OpenAI, based in San Francisco, California, to host local AI models that can process classified data on computers in the facilities. In February, the company held an 'AI jam session' with researchers from nine US national labs that allowed scientists to test the use of OpenAI's reasoning models in their specific domains. The new Genesis Mission is meant to provide "secure access to appropriate datasets, including proprietary, federally curated, and open scientific datasets, in addition to synthetic data generated through DOE computing resources", according to the executive order. Creating a national-scale platform that harnesses rich data sets usually housed in the walls of the national laboratories could be a boon for researchers. Although task-specific models such as the protein-folding model AlphaFold were built on open scientific data sets, general-purpose AI systems such as OpenAI's GPT-5 are thought to be largely built on data scraped from the Internet. It isn't yet clear which data sets would be involved, but possible candidates include information gathered at facilities such as the Spallation Neutron Source at Oak Ridge National Laboratory. That facility collects neutron-scattering data, which illuminate how materials behave at the atomic scale, says Georgia Tourassi, the lab's associate director for computing and computational sciences. "From atomistic measurements to exascale simulations, such data sets can immediately accelerate the development of trustworthy, science-capable AI models," she says. Access to the DoE's computing power could also accelerate research. Argonne's Aurora supercomputer, for example, uses graphics processing units, known as GPUs, that make it particularly suitable for AI, which requires huge parallel processing power. For starters, Congress might not allocate enough money to the DoE to achieve its ambitious plans, which the Trump administration compares "in urgency and ambition" with the Manhattan Project, the secret multi-billion-dollar US government programme that produced the first nuclear weapons. Trump has proposed cutting the DoE's science budget by 14% for the 2026 fiscal year and funding for AI might entail drawing funds from elsewhere in the budget. Data security is another big question. Trump's executive order says all data will be handled consistently with regard to law, classification, privacy and intellectual privacy protections. Tourassi says she expects data to be made available "in alignment with the established data-sharing policies of our user facilities and sponsor programmes". Then there's the issue of how to wrangle all these disparate data sets into a single user-friendly platform. "Transforming isolated datasets into a unified engine for discovery" will be a major challenge, wrote Darío Gil, the DoE under secretary for science who will head the project, and physicist Kathryn Moler at Stanford University in California, in an editorial in Science. They note that some of the most successful big-science projects in recent years, such as the Protein Data Bank repository and the Large Hadron Collider particle accelerator at CERN, Europe's particle-physics laboratory near Geneva, Switzerland, succeeded because they were open source and relied on well-structured data -- which is not always the case with large data sets. Parker says she would have liked to have seen more in the Genesis Mission plans about how more US scientists could participate in this research. As it stands, most of the benefit might flow to researchers who already work with DoE-funded platforms. The plan is also forging ahead without any comprehensive federal legislation to regulate AI. In January, Trump revoked an executive order that was created by Biden aimed at ensuring AI safety. The Trump administration has positioned itself pro-industry and called for federal funding for AI to be withheld from any state with "burdensome AI regulations". Many researchers argue that AI applied to science can benefit humanity. But they say that companies pursuing intelligence with broad capabilities, beyond those of humans, and without strict safety guard-rails or limits on AI power, brings a range of risks. "The Genesis Mission will succeed if it enables America's best scientists to leverage specialized AI for science, and fail if it becomes a mere subsidy for private companies building superintelligent AI that threatens national and global security," says Andrea Miotti, founder of ControlAI, a London-based non-profit organization that works to reduce the risks to humanity from artificial intelligence.

Trump Orders Genesis Mission to Advance AI Breakthroughs

I agree my information will be processed in accordance with the Scientific American and Springer Nature Limited Privacy Policy. We leverage third party services to both verify and deliver email. By providing your email address, you also consent to having the email address shared with third parties for those purposes. President Donald Trump on Monday signed an executive order aimed at accelerating science using artificial intelligence, an effort dubbed the "Genesis Mission." The order frames the race for global technology dominance in AI as "comparable in urgency and ambition to the Manhattan Project," referring to the development of the atomic bomb during World War II. The order comes at a moment when federal agencies have seen massive cuts to research grants and funding -- and Trump's order does not set out a defined budget for Genesis. National security, scientific discovery and energy innovation are all highlighted as top priorities in the order, which states that federal scientific datasets such as those managed by NASA, the National Institutes of Health, and other government science agencies will be critical to this work. Together, these add up to many billions of measurements, images and computer simulations about everything from the deep ocean to outer space to the human genome. On supporting science journalism If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today. In a press call Monday, science adviser to the president Michael Kratsios called the Genesis Mission "the largest marshaling of federal scientific resources since the Apollo program," CBS News reported. "The Genesis mission will use AI to automate experiment design, accelerate simulation and generate protective models for everything from protein folding to fusion plasma dynamics. This will shorten discovery timelines from years to days or even hours, empowering scientists to test bolder hypotheses and discover breakthroughs currently unreachable," Kratsios said. Trump's order gives the Department of Energy (DOE) 60 days to identify 20 high-priority challenges to tackle. It has 90 days to catalogue all the computing resources at its disposal, and 120 days to set out a plan for harnessing both federal and other research institute data, and 270 days to show that its plan can make progress on at least one of the identified challenges. Top priorities for these challenges include breakthroughs in fusion energy, advanced nuclear reactors, electric-grid modernization, new materials, quantum computing and life-saving medicines, according to the DOE. A central goal of the mission is to double the productivity and impact of American research within a decade by augmenting and not replacing human scientists, according to the agency's webpage. Given the vast sums of money already pouring into AI, it remains unclear how much this effort will cost. The DOE lists Nvidia, Anthropic, OpenAI, AMD, Microsoft, IBM and Google as collaborators in the effort, although what their exact contribution will be is also unknown.

Trump administration touts Genesis Mission to try and win the AI race -- White House compares scope of its initiative to the Manhattan Project

China could already be looking at the U.S. in the rearview mirror. As the worldwide AI gold rush continues apace, the United States government continues to signal an urgent need for American leadership in this still-murky field. Yesterday, President Trump signed a new executive order outlining what the administration calls the Genesis Mission, an initiative that seeks to spur a nationwide effort to make the U.S. the world leader in AI technology and its practical application. The White House's press release emphasizes the importance of its existing AI Action Plan, and compares the scale of its effort to the Manhattan Project, the initiative that produced the atomic bomb during World War II. According to the new executive order, the plan is to be carried out by the Department of Energy (DoE), which controls key supercomputing resources in the USA among its other responsibilities. Secretary Chris Wright states: "The Genesis Mission will dramatically accelerate scientific discovery, strengthen national security, secure energy dominance, enhance workforce productivity, and multiply the return on taxpayer investment into research and development." There's no word on how the Genesis Mission is meant to be funded. In its ideal form, the project is tasked with building an AI platform to collect federal scientific datasets to train AI models for the practical goal of solving at least 20 technological challenges. These will be collected among the areas of materials, manufacturing, biotechnology, nuclear fusion and fission energy, quantum information, semiconductors, and electronics. Given the Genesis Mission is meant to be coordinated among several agencies and private partners, additional challenges can be proposed by those stakeholders. The challenges will be reviewed and adjusted yearly. The first stage of the project will be to identify logical and physical resources, namely computing infrastructure, datasets, and models. The Genesis Mission could to make use of the supercomputers at DoE's national laboratories, but will also collaborate with agencies and partners "possessing advanced AI, data, or computing capabilities or scientific domain expertise." That's a slightly curious statement, as most any capacity for datacenter hardware and AI chip manufacturing is de facto signed for for multiple years, meaning it's unclear whether the DoE wants to build out its own datacenters, rent existing capacity, or, most likely, both. An unnamed source at the White House told the New York Times that Nvidia, AMD, HP, and Dell have agreed to build facilities within national laboratories. As for model training data, the project wants to ensure access to "appropriate datasets, including proprietary, federally curated, and open scientific datasets, in addition to synthetic data generated through DOE computing resources". Interestingly, the document makes repeated mentions of intellectual property protection and provenance tracking, presumably in the context of public-private partnerships, including "innovations arising from AI-directed experiments." A program of this scale adds to the growing concerns about dwindling supplies and high prices for electricity, prompting the DoE Secretary to state the project should "make [the U.S.'] electricity grid more efficient and reverse price rises that have infuriated American citizens." The matching press release at energy.gov clearly states the Mission "will accelerate advanced nuclear, fusion, and grid modernization using AI to provide affordable, reliable, and secure energy for Americans." There are no details on exact grid and generation upgrades, though that sentence seems to imply there could be a welcome nationwide effort to upgrade the nation's aging power infrastructure, and potentially build additional nuclear power plants and/or renewable energy farms. The press release also makes repeated mentions of concerns with cybersecurity, an understandable notion given that how the main opponent is China, and the global supply chain of AI chips and datacenter hardware is, for now, manufactured or assembled in the region. The Genesis Mission is an interesting proposition, especially in the face of the 15% export tax applied on Nvidia and AMD chips, and the fact that the U.S. government now holds 10% of Intel. On the one hand, it can be argued that there's no government AI effort that matches what companies like OpenAI, Google, and xAI have achieved -- or at least, any made public. However, the project clearly outlines its intention to participate with industry partners, likely giving them a boost up the AI road, even if just with funding. Given that even Nvidia's leather-clad man Jensen Huang believes that China is about to be ahead in the AI race, perhaps it's high time the U.S. government got its sneakers out.

Genesis Mission: why Trump's plan to put AIs in charge of science could backfire

University of Bath provides funding as a member of The Conversation UK. Donald Trump's new "Genesis Mission" initiative promises to use artificial intelligence to reinvent how science is done, in a bid to move the dial on the hardest challenges in areas like robotics, biotech and nuclear fusion. It imagines a system in which AI designs experiments, executes them, learns from the results and continually proposes new lines of inquiry. The hope is that this will unlock dramatically higher productivity in federally funded research. This vision fits a wider international trend, including in the UK: governments are investing heavily in AI for science, citing successes such as DeepMind's AlphaFold, which predicts protein structures, and is now woven into many areas of biology and drug discovery. However, core lessons from the philosophy of science show why "automating discovery" is far harder - and riskier - than the rhetoric suggests. The philosopher Karl Popper famously described science as a process of "bold conjectures and severe attempts at refuting [them]". Discovery, in this view, begins when researchers encounter an anomaly - a phenomenon that existing theories cannot easily explain. They then propose new hypotheses that might resolve the puzzle. Philosophers call this "abduction": inferring to an explanation rather than merely extrapolating from previous data. The large language models that underpin today's AI systems mimic some patterns of abductive reasoning. But they do not possess the experience, know-how or situational understanding that human scientists draw on when reframing a problem or redefining what counts as an anomaly. Machines excel at spotting regularities in existing data. Yet the most interesting scientific advances often occur when researchers notice what the data fails to capture - or decide that a previously ignored discrepancy is actually a clue to a new area needing investigated. Even once a new idea is on the table, scientists must decide which theories to pursue, refine and invest scarce resources in. These choices are guided not just by immediate empirical payoffs, but virtues such as coherence with other ideas, simplicity, explanatory depth or the ability to open up fertile new research programmes. None of these can be reduced to fixed rules. Trying to reduce them to simpler but more measurable proxies may result in prioritising projects that yield short-term gains over speculative but potentially transformative lines of inquiry. There's also a risk of ignoring hypotheses that challenge the status quo. Justification is not just data Scientists assess competing theories using evidence, but philosophers have long noted that evidence alone rarely forces a single conclusion. Multiple, incompatible theories can often fit the same data, which means scientists must weigh the pros and cons of each theory, consider their underlying assumptions, and debate whether anomalies call for more data or a change of framework. Fully automating this stage invites trouble, because algorithmic decision systems tend to hide their assumptions and compress messy tradeoffs into binary outputs: approve or deny, flag or ignore. The Dutch childcare-benefits scandal of 2021 showed how this can play out in public policy. A risk-scoring algorithm "hypothesised" and "evaluated" which families were engaging in fraud to claim benefits. It fed these "justified" conclusions into automated workflows that demanded repayment of benefits, and plunged many innocent families into financial ruin. Genesis proposes to bring similar forms of automation into scientific decision chains. For instance, this could let AI agents determine which results are credible, which experiments are redundant, and which lines of inquiry should be terminated. It all raises concerns that we may not know why an agent reached a certain conclusion, whether there is an underlying bias in its programming and whether anyone is actually scrutinising the process. Science as organised persuasion Another lesson from the philosophy and history of science is that producing data is only half the story; scientists must also persuade one another that a claim is worth accepting. The Austrian philosopher Paul Feyerabend showed how even canonical figures such as Galileo strategically chose languages, audiences and rhetorical styles to advance new ideas. This is not to imply that science is propaganda; the point is that knowledge becomes accepted through argument, critique and judgement by a scientist's peers. If AI systems begin to generate hypotheses, run experiments and even write papers with minimal human involvement, questions arise about who is actually taking responsibility for persuading the scientific community in a given field. Will journals, reviewers and funding bodies scrutinise arguments crafted by foundation models with the same scepticism they apply to human authors? Or will the aura of machine objectivity make it harder to challenge flawed methods and assumptions embedded deep in the pipeline? Consider AlphaFold, often cited as proof that AI can "solve" major scientific problems. The system has indeed transformed structural biology (the study of the shapes of living molecules) by providing high-quality predictions for vast numbers of proteins. This has dramatically lowered the barrier to exploring how a protein's structure affects how it works. Yet careful evaluations emphasise that these outputs should be treated as "valuable hypotheses": highly informative starting points that still require experimental validation. Genesis-style proposals risk overgeneralising from such successes, forgetting that the most scientifically useful AI systems work precisely because they are embedded in human-directed research ecologies, not because they run laboratories on their own. Protecting what makes science special Scientific institutions emerged partly to wrest authority away from opaque traditions, priestly castes and charismatic healers, replacing appeals to enchantment with public standards of evidence, method and critique. Yet there has always been a kind of romance to scientific practice: the stories of eureka moments, disputes over rival theories and the collective effort to make sense of a resistant world. That romance is not mere decoration; it reflects the human capacities - curiosity, courage, stubbornness, imagination - that drive inquiry forward. Automating science in the way Genesis envisions risks narrowing that practice to what can be captured in datasets, loss functions and workflow graphs. A more responsible path would see AI as a set of powerful instruments that remain firmly embedded within human communities of inquiry. They would ultimately support but never substitute the messy, argumentative and often unpredictable processes through which scientific knowledge is created, contested and ultimately trusted.

Trump orders nationwide AI Genesis Mission to drive science

DOE told to build a unified research platform linking federal compute, datasets, and national labs US President Trump has ordered the launch of the "Genesis Mission," a national effort to use AI to drive scientific discoveries, with the aim of strengthening America's technological leadership and global competitiveness. In an executive order published on Monday, the President declared that the country is in a race for global technology dominance, and so there is a need for a nationwide AI initiative, comparable in urgency and ambition to the Manhattan Project that led to the development of the atomic bomb. The Genesis Mission will aim to develop an AI platform using federal government datasets to train scientific foundation models. The executive order also calls for the creation of AI agents capable of testing new hypotheses, automating research workflows, and ultimately delivering scientific breakthroughs. Among the goals of the initiative is to "secure energy dominance," using machine learning to try to solve problems around making nuclear fusion work as well as grid modernization to provide enough energy to meet anticipated future demand. It falls to the Department of Energy (DOE) to lead this national project, as it oversees more physical science research than any other federal agency, via its network of National Laboratories. Although Trump's executive order gives Secretary of Energy Chris Wright responsibility for implementing Genesis, he has delegated this to his under-secretary for science, Dr Darío Gil, a former senior VP and director of research at IBM. The DOE says it will build an integrated discovery platform by linking together the supercomputers and other facilities at its 17 National Laboratories with industry and academia drawing on the expertise of roughly 40,000 scientists, engineers, and technical staff. No mention has been made of funding for this project, so it seems likely that the DOE is expected to cover the Genesis Mission from existing budgets. We queried the agency about this and will update if we get an answer. The executive order sets a deadline of 90 days for the DOE to identify federal compute resources available to support the initiative, including those on-premises at the agency's sites and cloud-based systems, plus resources available through industry partners. Another 30 days later, it is expected to have identified a body of initial government datasets and model assets for use in the project. But before all that, the DOE is tasked with submitting to the White House Office of Science and Technology Policy (OSTP) a list of at least 20 science and technology challenges of national importance that have the potential to be addressed by Genesis. Within 270 days (nine months) of Trump issuing his executive order, the DOE is expected to demonstrate an initial operating capability of the platform for at least one of the scientific challenges identified. These could relate to nuclear fission and fusion energy, quantum computing, critical materials, advanced manufacturing, or semiconductors and microelectronics. "The Genesis Mission marks a defining moment for the next era of American science," Gil said in a canned statement. "We are linking the nation's most advanced facilities, data, and computing into one closed-loop system to create a scientific instrument for the ages, an engine for discovery that doubles R&D productivity and solves challenges once thought impossible." AI is clearly important to the US economy as investments related to AI infrastructure and development of new models appear to be the only thing keeping the country out of a recession, as The Register reported last month. But it isn't just us - the Wall Street Journal said on Monday that investment in AI accounted for as much as half of the growth in gross domestic product in the first six months of the year, meaning that the economy is dependent on AI. "It's the only source of investment right now," it quotes Stephen Juneau, an economist at Bank of America, as saying. Small wonder there are growing concerns over what may happen if the bubble bursts. ®

Trump's Genesis Mission aims to build a centralized AI platform to power scientific breakthroughs

President Donald Trump has issued a new Executive Order that launches the "Genesis Mission," an AI-focused initiative that will be led by the Department of Energy. It will "harness the current AI and advanced computing revolution to double the productivity and impact of American science and engineering within a decade," the DOE explained. One of the mission's main goals is to build a centralized platform that will house a huge collection of datasets collected "over decades of federal investments," as well as datasets from academic institutions and partners from the private sector. Those datasets will then be used to train scientific foundation models and to create AI agents, automate research workflows and accelerate scientific breakthroughs, the administration said in its announcement. "The platform will connect the world's best supercomputers, AI systems, and next-generation quantum systems with the most advanced scientific instruments in the nation," the Energy department said. Based on that statement, the platform will be linked to the two sovereign AI supercomputers the agency is building at the Oak Ridge National Laboratory, its famous research and development center. The machines, to be built by Hewlett Packard Enterprises, are meant to be the Trump AI Action Plan's flagship supercomputers. The DOE previously revealed that the machines will be powered by AMD chips and will help tackle the biggest challenges in energy, medicine, health and national security. "The Genesis Mission marks a defining moment for the next era of American science. We are linking the nation's most advanced facilities, data, and computing into one closed-loop system to create a scientific instrument for the ages, an engine for discovery that doubles R&D productivity and solves challenges once thought impossible," said Dr. Darío Gil, the Under Secretary for Science and Genesis Mission Director. In the next four months, the Energy department must identify its initial set of data and model assets for the Genesis platform. The department must be able to demonstrate "an initial operating capability of the platform for at least one of the national science and technology challenges" the government has identified within nine months. While the list of challenges is pretty long, the Genesis Mission will focus on addressing three key challenges overall. First, it aims to accelerate nuclear and fusion energy, as well as to modernize the energy grid using AI. It also aims to power scientific discoveries for decades to come. Finally, it aims to create advanced AI technologies for the purpose of national security, such as systems that can ensure the reliability of America's nuclear weapons and can accelerate the development of materials for defense.

Trump signs executive order for AI project called Genesis Mission to boost scientific discoveries

President Donald Trump is directing the federal government to combine efforts with tech companies and universities to convert government data into scientific discoveries, acting on his push to make artificial intelligence the engine of the nation's economic future. Trump unveiled the "Genesis Mission" as part of an executive order he signed Monday that directs the Department of Energy and national labs to build a digital platform to concentrate the nation's scientific data in one place. It solicits private sector and university partners to use their AI capability to help the government solve engineering, energy and national security problems, including streamlining the nation's electric grid, according to White House officials who spoke to reporters on condition of anonymity to describe the order before it was signed. Officials made no specific mention of seeking medical advances as part of the project. "The Genesis Mission will bring together our Nation's research and development resources -- combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites -- to achieve dramatic acceleration in AI development and utilization," the executive order says. The administration portrayed the effort as the government's most ambitious marshaling of federal scientific resources since the Apollo space missions of the late 1960s and early 1970s, even as it had cut billions of dollars in federal funding for scientific research and thousands of scientists had lost their jobs and funding. Trump is increasingly counting on the tech sector and the development of AI to power the U.S. economy, made clear last week as he hosted Saudi Arabia's Crown Prince Mohammed bin Salman. The monarch has committed to investing $1 trillion, largely from the Arab nation's oil and natural gas reserves, to pivot his nation into becoming an AI data hub. For the U.S.'s part, funding was appropriated to the Energy Department as part of the massive tax-break and spending bill signed into law by Trump in July, White House officials said. As AI raises concerns that its heavy use of electricity may be contributing to higher utility rates in the nearer term, which is a political risk for Trump, administration officials argued that rates will come down as the technology develops. They said the increased demand will build capacity in existing transmission lines and bring down costs per unit of electricity. Data centers needed to fuel AI accounted for about 1.5% of the world's electricity consumption last year, and those facilities' energy consumption is predicted to more than double by 2030, according to the International Energy Agency. That increase could lead to burning more fossil fuels such as coal and natural gas, which release greenhouse gases that contribute to warming temperatures, sea level rise and extreme weather. The project will rely on national labs' supercomputers but will also use supercomputing capacity being developed in the private sector. The project's use of public data including national security information along with private sector supercomputers prompted officials to issue assurances that there would be controls to respect protected information.

Trump Orders Construction of A.I. Platform to Use Troves of Government Data for Research

President Trump on Monday signed an executive order to bolster national scientific research through the use of artificial intelligence. The order directs the Department of Energy's national laboratories to create an A.I. platform that will fuse troves of federal data on health, energy and manufacturing, in partnership with A.I. companies. The technology is to be used to automate experiments, design research simulations and generate predictive models for "everything from protein folding to fusion plasma dynamics," Michael Kratsios, the director of the Office of Science and Technology Policy, told reporters on Monday in a briefing before the executive order was publicly announced. The government's plan is to first use existing supercomputers within the country's 17 national labs, and then eventually build more computing infrastructure. The White House did not say how the costs of additional technology would be funded. The chipmakers Nvidia and AMD and the computer giants Hewlett Packard Enterprise and Dell have already agreed to build facilities within the national labs, a White House official, who spoke about details of the program on the condition of anonymity, told reporters in the briefing. Some data will be shared with A.I. companies, but the White House official said that the government would withhold sensitive information that could put national security at risk. "This will shorten discovery timelines from years to days or even hours, empowering scientists to test bolder hypotheses and discover breakthroughs currently unreachable," Mr. Kratsios added. It was Mr. Trump's latest executive order on A.I. From his first days in office, Mr. Trump has issued orders to knock down regulatory obstacles and fast-track permitting and exports of A.I. He has championed Silicon Valley's A.I. industry, warning that regulations could impede the nation's battle against China for economic and tech leadership.

The 'Genesis Mission’: Here's What's in Trump's Most Grandiose AI Executive Order Yet

The title of the executive order is on the short side for Trump: "Launching the Genesis Mission." In this pivotal moment, the challenges we face require a historic national effort, comparable in urgency and ambition to the Manhattan Project that was instrumental to our victory in World War II and was a critical basis for the foundation of the Department of Energy (DOE) and its national laboratories. According to Michael Kratsios, the science advisor to the president, that Manhattan Project comparison is just the beginning. The Genesis Mission is also, we're being told, "the largest marshaling of federal scientific resources since the Apollo program." Then again, the Trump administration says stuff. The president said nuclear weapons tests were going to begin "immediately," and that was almost a month ago. But consulting AI.gov, Trump's special fan page for showing off his love of AI, I find that the president has nine marquee AI executive orders, stretching back to his previous administration, and they have titles like "Promoting the Export of the American AI Technology Stack," and "Preventing Woke AI in the Federal Government." None of them sound nearly as hauntingly mysterious as a "Genesis Mission." What's this AI-loving president up to now? We’re being promised a sort of AI and automation super-platform for the federal government. Based on my read of the program laid out in this order, the Secretary of Energyâ€"fracking mogul Chris Wrightâ€"is supposed to unify all Department of Energy datasets with those of all federal agencies, and use those to create “scientific foundation models.†Presumably that means the government’s own LLMs, or other LXMs used for scientific research. Then our federal government is going to use its new AI models to build programs that “automate research workflows, and accelerate scientific breakthroughs.†We’re getting set-it-and-forget-it federal science, in other words. The AI does the research, and a person can just come along and scoop up the breakthroughs like cream from a milk bucket. According to Politico, Wright says there will be an “incredible increase in the pace of scientific discovery and innovation.†They're looking at nuclear fusion, other energy sources, pharmaceuticals, protein foldingâ€"all the areas of science and research that pair well with AI hype. The executive order does, in all fairness, outline what the next year (and beyond) is supposed to look like for this program to some degree. By the 60-day mark: A list. America gets a document identifying 20 core science “challenges†the Genesis Mission can solve. By the 90-day mark: An inventory. America is gifted an inventory of computational resources the Genesis Mission can use to build its system. By the 120-day mark: A plan. By now, the Mission is supposed to have its data optimized and in place to train the models. By the 240-day mark: Another inventory. Wright is supposed to have figured out where robot-driven, automated science experiments can be done. Since it probably sounds like I'm joking, here's what the order says exactly: "Within 240 days of the date of this order, the Secretary shall review capabilities across the DOE national laboratories and other participating Federal research facilities for robotic laboratories and production facilities with the ability to engage in AI-directed experimentation and manufacturing, including automated and AI-augmented workflows and the related technical and operational standards needed." By the 270 day mark: A demo. We get some sort of proof of concept for the Genesis Mission platform, focused on one of the 20 aforementioned challenges. Within one year (and then every year from now on): An evaluation. Were positive outcomes achieved? Did the Genesis Mission make scientific discoveries? How's everything going? It'll all be in the annual report. And the Genesis Mission had better work, because the other side of this effort is a bunch of federal funding cuts for science. This administration has sought to cancel federal funding for (and subscriptions to) science journals. It has sought to cut $783 million in funding for health researchâ€"cuts that, it appears, really will go into effect. It has sought to cut off funding to no less than 100 climate change studies. It has reduced research spending at the National Oceanic and Atmospheric Administration by $100 million, and on, and on. The cuts may have had many aims, at least one of which was to curb DEI (remember when people used to talk about DEI?). Another one, it seems, is to shift science into the realm of things you can just automate, well before sufficient AI systems exist to justify anyone's confidence that such a thing is possible. So buckle up for automated, low-cost scientific breakthroughs, everyone! They'll be here soon, thanks to the Chris Wright and the Genesis Mission. Otherwise, some of those funding cuts might start to look a little silly in retrospect.

What enterprises should know about Trump's AI 'Manhattan Project' Genesis Mission

President Donald J. Trump's new "Genesis Mission" unveiled yesterday, November 24, 2025, is billed as a generational leap in how the United States does science akin to the Manhattan Project that created the atomic bomb during World War II. The executive order directs the Department of Energy (DOE) to build a "closed-loop AI experimentation platform" that links the country's 17 national laboratories, federal supercomputers, and decades of government scientific data into "one cooperative system for research." The White House fact sheet casts the initiative as a way to "transform how scientific research is conducted" and "accelerate the speed of scientific discovery," with priorities spanning biotechnology, critical materials, nuclear fission and fusion, quantum information science, and semiconductors. DOE's own release calls it "the world's most complex and powerful scientific instrument ever built" and quotes Under Secretary for Science Darío Gil describing it as a "closed-loop system" linking the nation's most advanced facilities, data, and computing into "an engine for discovery that doubles R&D productivity." What the administration has not provided is just as striking: no public cost estimate, no explicit appropriation, and no breakdown of who will pay for what. Major news outlets including Reuters, Associated Press, Politico, and others have all noted that the order "does not specify new spending or a budget request," or that funding will depend on future appropriations and previously passed legislation. That omission, combined with the initiative's scope and timing, raises questions not only about how Genesis will be funded and to what extent, but about who it might quietly benefit. "So is this just a subsidy for big labs or what?" Soon after DOE promoted the mission on X, Teknium of the small U.S. AI lab Nous Research posted a blunt reaction: "So is this just a subsidy for big labs or what." The line has become a shorthand for a growing concern in the AI community: that the U.S. government could offer some sort of public subsidy for large AI firms facing staggering and rising compute and data costs. That concern is grounded in recent, well-sourced reporting on OpenAI's finances and infrastructure commitments. Documents obtained and analyzed by tech public relations professional and AI critic Ed Zitron describe a cost structure that has exploded as the company has scaled models like GPT-4, GPT-4.1, and GPT-5.1. The Register has separately inferred from Microsoft quarterly earnings statements that OpenAI lost about $13.5 billion on $4.3 billion in revenue in the first half of 2025 alone. Other outlets and analysts have highlighted projections that show tens of billions in annual losses later this decade if spending and revenue follow current trajectories By contrast, Google DeepMind trained its recent Gemini 3 flagship LLM on the company's own TPU hardware and in its own data centers, giving it a structural advantage in cost per training run and energy management, as covered in Google's own technical blogs and subsequent financial reporting. Viewed against that backdrop, an ambitious federal project that promises to integrate "world-class supercomputers and datasets into a unified, closed-loop AI platform" and "power robotic laboratories" sounds, to some observers, like more than a pure science accelerator. It could, depending on how access is structured, also ease the capital bottlenecks facing private frontier-model labs. The executive order explicitly anticipates partnerships with "external partners possessing advanced AI, data, or computing capabilities," to be governed through cooperative research and development agreements, user-facility partnerships, and data-use and model-sharing agreements. That category clearly includes firms like OpenAI, Anthropic, Google, and other major AI players -- even if none are named. What the order does not do is guarantee those companies access, spell out subsidized pricing, or earmark public money for their training runs. Any claim that OpenAI, Anthropic, or Google "just got access" to federal supercomputing or national-lab data is, at this point, an interpretation of how the framework could be used, not something the text actually promises. Furthermore, the executive order makes no mention of open-source model development -- an omission that stands out in light of remarks last year from Vice President JD Vance, when, prior to assuming office and while serving as a Senator from Ohio and participating in a hearing, he warned against regulations designed to protect incumbent tech firms and was widely praised by open-source advocates. Closed-loop discovery and "autonomous scientific agents" Another viral reaction came from AI influencer Chris (@chatgpt21 on X), who wrote in an X post that that OpenAI, Anthropic, and Google have already "got access to petabytes of proprietary data" from national labs, and that DOE labs have been "hoarding experimental data for decades." The public record supports a narrower claim. The order and fact sheet describe "federal scientific datasets -- the world's largest collection of such datasets, developed over decades of Federal investments" and direct agencies to identify data that can be integrated into the platform "to the extent permitted by law." DOE's announcement similarly talks about unleashing "the full power of our National Laboratories, supercomputers, and data resources." It is true that the national labs hold enormous troves of experimental data. Some of it is already public via the Office of Scientific and Technical Information (OSTI) and other repositories; some is classified or export-controlled; much is under-used because it sits in fragmented formats and systems. But there is no public document so far that states private AI companies have now been granted blanket access to this data, or that DOE characterizes past practice as "hoarding." What is clear is that the administration wants to unlock more of this data for AI-driven research and to do so in coordination with external partners. Section 5 of the order instructs DOE and the Assistant to the President for Science and Technology to create standardized partnership frameworks, define IP and licensing rules, and set "stringent data access and management processes and cybersecurity standards for non-Federal collaborators accessing datasets, models, and computing environments." A moonshot with an open question at the center Taken at face value, the Genesis Mission is an ambitious attempt to use AI and high-performance computing to speed up everything from fusion research to materials discovery and pediatric cancer work, using decades of taxpayer-funded data and instruments that already exist inside the federal system. The executive order spends considerable space on governance: coordination through the National Science and Technology Council, new fellowship programs, and annual reporting on platform status, integration progress, partnerships, and scientific outcomes. Yet the initiative also lands at a moment when frontline AI labs are buckling under their own compute bills, when one of them -- OpenAI -- is reported to be spending more on running models than it earns in revenue, and when investors are openly debating whether the current business model for proprietary frontier AI is sustainable without some form of outside support. In that environment, a federally funded, closed-loop AI discovery platform that centralizes the country's most powerful supercomputers and data is inevitably going to be read in more than one way. It may become a genuine engine for public science. It may also become a crucial piece of infrastructure for the very companies driving today's AI arms race. For now, one fact is undeniable: the administration has launched a mission it compares to the Manhattan Project without telling the public what it will cost, how the money will flow, or exactly who will be allowed to plug into it. How Enterprise Technical Leaders Should Interpret Genesis For enterprise teams already building or scaling AI systems, the Genesis Mission signals a shift in how national infrastructure, data governance, and high-performance compute will evolve in the U.S. -- and those signals matter even before the government publishes a budget. The initiative outlines a federated, AI-driven scientific ecosystem where supercomputers, datasets, and automated experimentation loops operate as tightly integrated pipelines. That direction mirrors the trajectory many companies are already moving toward: larger models, more experimentation, heavier orchestration, and a growing need for systems that can manage complex workloads with reliability and traceability. Even though Genesis is aimed at science, its architecture hints at what will become expected norms across American industries. The lack of cost detail around Genesis does not directly alter enterprise roadmaps, but it does reinforce the broader reality that compute scarcity, escalating cloud costs, and rising standards for AI model governance will remain central challenges. Companies that already struggle with constrained budgets or tight headcount -- particularly those responsible for deployment pipelines, data integrity, or AI security -- should view Genesis as early confirmation that efficiency, observability, and modular AI infrastructure will remain essential. As the federal government formalizes frameworks for data access, experiment traceability, and AI agent oversight, enterprises may find that future compliance regimes or partnership expectations take cues from these federal standards. Genesis also underscores the growing importance of unifying data sources and ensuring that models can operate across diverse, sometimes sensitive environments. Whether managing pipelines across multiple clouds, fine-tuning models with domain-specific datasets, or securing inference endpoints, enterprise technical leaders will likely see increased pressure to harden systems, standardize interfaces, and invest in complex orchestration that can scale safely. The mission's emphasis on automation, robotic workflows, and closed-loop model refinement may shape how enterprises structure their internal AI R&D, encouraging them to adopt more repeatable, automated, and governable approaches to experimentation. Here is what enterprise leaders should be doing now: Overall, Genesis does not change day-to-day enterprise AI operations today. But it strongly signals where federal and scientific AI infrastructure is heading -- and that direction will inevitably influence the expectations, constraints, and opportunities enterprises face as they scale their own AI capabilities.

The Trump Administration just launched its own plan for global AI dominance and what could go wrong?

It might compete with existing models and will be used to solve issues in from everything from nuclear fission to manufacturing "What exactly is Genesis? Well, put simply, Genesis is life from lifelessness." That's not a quote from the Trump White House's new Genesis Mission proclama...er...Executive Order. No, that insightful notion comes from Star Trek II: The Wrath of Khan, where Genesis is a biome, or biology-filled torpedo, capable of initiating life on a dead planet. The White House's new Genesis Mission is - in a way - a torpedo full of ideas intended to jump-start the US Government's position in the global AI race and perhaps put us on equal footing with China, which initiated its own New General Artificial Intelligence Plan in 2017 and ever since has been pouring money into its development across infrastructure and private business. With the Genesis Mission, which will be run out of the Department of Energy (DoE) but under the oversight of the Assistant to the President for Science and Technology, Michael Kratsios, President Donald Trump is codifying an effort he began months ago when he started announcing billions in private sector AI company investments. Genesis Mission, though, is also different than any of the White House's previous AI initiatives. It's reminiscent in some ways of the early space race and establishment of NASA, and also the 1969 development of ARPANET under the auspices of the Defense Advanced Research Projects Agency (DARPA). The goal of NASA was to get our satellites, and eventually humans, into space and to the moon. ARPANET, which eventually spawned the Internet and our World Wide Web, was concerned with building the first network capable of connecting computers around the US (mostly university computers). Genesis Mission's stated goal is building "an integrated AI platform to harness Federal scientific datasets -- the world's largest collection of such datasets, developed over decades of Federal investments -- to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs." If I'm reading that correctly, this is the first US government effort to build an owned and operated AI platform, one with its own infrastructure and models, and that stands apart from what, say, Google's built with Gemini, OpenAI built with ChatGPT, or Elon Musk is building with Grok. More tellingly, Genesis Mission plans to use government data for training. Since US citizens own the government and the government is full of services that serve US citizens, one must assume that much of this training data is ours or, more specifically, about us. While there are indications that the US Government will work with universities and private companies for some of this, it's clear that the Genesis Mission will be making much of the platform's inner workings on its own. The exec order describes the creation of the American Science and Security Platform as the infrastructure that will include: Following this path, our data will be building models in a home-grown, US Government facility, a sort of black box of AI creations - a Genesis that brings inert data to life. As for the areas of Genesis Mission AI interest, they include: None of these categories is surprising, but a government agency building vast AI networks capable of "automating research workflows" on touchy areas like nuclear fission and biotechnology should give some pause. I'm not saying I do not want AI to solve some of our biggest problems. Certainly, cancer is at the top of my list, as is sustainable energy as it applies to climate change. But the exec order makes zero mention of those two persistent issues. The Genesis Mission is far more concerned with winning the global AI war and advancing the business of AI than it is with solving actual human problems. Which brings me back to what the Genesis Mission is and what it might create. This is an administration that's siphoned more than a billion dollars from universities engaged in critical health research, but it will spend tax dollars (via the DOE) on this effort. There's nothing in the Genesis Mission that mentions the common good or humanity. In fact, the words "humanity," "humans," "people," "citizens," and "life" are all missing from this approximately 3,400-word document. It's a lifeless construct better suited to an omniscient AI than it is a life-altering, humanity-lifting "mission." Put simply, it has all the ingredients of Skynet V. 1. Fun fact about the Wrath of Khan's Genesis torpedo: even though it was designed as a life-germinating technology, it also doubled as a doomsday device because its "life-giving" capabilities could also be used to overwrite civilizations. The question we have to ask ourselves about this new Genesis Mission is this: will it give us new life and opportunities, or eventually use what it knows about us to overwrite our existence?

Trump unveils new AI 'Genesis Mission.' Here's what to know

Why it matters: The Trump administration seeks to ensure that government stays out of the way on AI regulation while actively supporting private-sector innovation. * At the same time, administration officials are eager to address consumer complaints that are mounting over energy bills, job displacement and other economic worries. Driving the news: The "Genesis Mission" seeks to encourage government information sharing with industry, academia and other scientific institutions. * Under the order, the Department of Energy will build a platform with AI capabilities for scientists and engineers to use in their work. * It would also create a portfolio of scientific and engineering challenges around energy and national security for Genesis Mission participants to pursue. * Other departments and agencies will be able to tackle their own challenges -- such as around drug discovery -- through the executive order. The big picture: Though they didn't give any cost estimates, administration officials portrayed the effort as the largest marshaling of federal scientific resources since the Apollo space program in the 1960s. * "The Genesis Mission will use AI to automate experiment, design, [and] accelerate simulations and generate predictive models for everything from protein folding to fusion plasma dynamics," Michael Kratsios, who heads the White House Office of Science and Technology Policy, told reporters. The intrigue: Huge data centers for training and using AI models are among the drivers of rising power demand -- and rising electricity bills. * Energy costs were front and center in the recent New Jersey and Virginia governors' races that Democrats won easily. Driving the news: Energy Secretary Chris Wright, who touted his agency's national labs' role in the project, argued that AI can help bring down costs. * "The ultimate goal of this is to make the lives better for American citizens," including creating job opportunities, he said at a press briefing. * "In the energy space, it's to bring more energy on, make our electricity grid more efficient and reverse price rises that have infuriated American citizens." What we're watching: The Trump administration expects more computing partnerships to come out of this project, noting that it has already announced agreements with giants including Nvidia, Dell and others. What's next: White House officials contend that the Genesis Mission will usher in major scientific advances.

Trump orders 'Genesis Mission' for AI companies to work on scientific breakthroughs with universities, national labs | Fortune

Trump unveiled the "Genesis Mission" as part of an executive order he signed Monday that directs the Department of Energy and national labs to build a digital platform to concentrate the nation's scientific data in one place. It solicits private sector and university partners to use their AI capability to help the government solve engineering, energy and national security problems, including streamlining the nation's electric grid, according to White House officials who spoke to reporters on condition of anonymity to describe the order before it was signed. Officials made no specific mention of seeking medical advances as part of the project. "The Genesis Mission will bring together our Nation's research and development resources -- combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites -- to achieve dramatic acceleration in AI development and utilization," the executive order says. The administration portrayed the effort as the government's most ambitious marshaling of federal scientific resources since the Apollo space missions of the late 1960s and early 1970s, even as it had cut billions of dollars in federal funding for scientific research and thousands of scientists had lost their jobs and funding. Trump is increasingly counting on the tech sector and the development of AI to power the U.S. economy, made clear last week as he hosted Saudi Arabia's Crown Prince Mohammed bin Salman. The monarch has committed to investing $1 trillion, largely from the Arab nation's oil and natural gas reserves, to pivot his nation into becoming an AI data hub. For the U.S.'s part, funding was appropriated to the Energy Department as part of the massive tax-break and spending bill signed into law by Trump in July, White House officials said. As AI raises concerns that its heavy use of electricity may be contributing to higher utility rates in the nearer term, which is a political risk for Trump, administration officials argued that rates will come down as the technology develops. They said the increased demand will build capacity in existing transmission lines and bring down costs per unit of electricity. Data centers needed to fuel AI accounted for about 1.5% of the world's electricity consumption last year, and those facilities' energy consumption is predicted to more than double by 2030, according to the International Energy Agency. That increase could lead to burning more fossil fuels such as coal and natural gas, which release greenhouse gases that contribute to warming temperatures, sea level rise and extreme weather. The project will rely on national labs' supercomputers but will also use supercomputing capacity being developed in the private sector. The project's use of public data including national security information along with private sector supercomputers prompted officials to issue assurances that there would be controls to respect protected information.

Trump Signs 'Genesis Mission' Executive Order to Use AI to Supercharge US Innovation - Decrypt

Agencies face deadlines to identify computing resources and demonstrate early capabilities. President Trump signed an executive order on Monday that establishes the "Genesis Mission," a national AI-for-science initiative that officials described as the largest federal research effort since the Manhattan Project. The order directs agencies to connect federal datasets, national laboratory supercomputers, and new AI systems that the administration said would accelerate scientific discovery across several fields and strengthen U.S. technological competitiveness. The order also creates a centralized system called the American Science and Security Platform. The Department of Energy said the platform would link supercomputers, secure cloud AI environments, scientific datasets, simulation tools, and automated laboratory systems to support model training and AI-directed experimentation. "The Genesis Mission will bring together our nation's research and development resources -- combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites -- to achieve dramatic acceleration in AI development and utilization," the order said. Officials from the White House Office of Science and Technology Policy and the Department of Energy said the Genesis Mission aims to cut research timelines "from years to days or even hours" by combining federal data with neural networks trained to generate predictions, direct experiments, and run simulations. They said the program would preserve copyright protections and national security restrictions, with open data available to researchers and proprietary or classified material limited to approved users. "We operate 28 user facilities and support 40,000 scientists and engineers. Some of the data sets are proprietary and bilateral with each party," a White House official said. "We also hold some of the most confidential and classified data sets the nation has, which are not available to third parties. All three categories will be used, and we will continue to advance partnerships based on each of them." The order requires DOE to apply federal classification, export-control, and cybersecurity standards to the new platform and to vet outside researchers or companies seeking access. When asked how the government planned to prevent hallucinations in the models used for the Genesis Mission, a White House official said that every prediction would be tested against experimental results. "These models are going to be used to issue predictions and formulate plans," the official told Decrypt. "If those predictions don't match what scientific instruments tell us, the predictions are wrong. Through that iterative process, we will make them work with the accuracy required to advance the Genesis Mission." Though the speakers used the term AI throughout the call, the official said the administration was not referring to consumer chatbots like ChatGPT or Grok. "When we talk about AI, what we're talking about is being able to encode the knowledge that is present in physics and chemistry and engineering in very massive neural networks," they said. "These neural networks are not just your traditional LLMs. We are going to combine that with physics, chemistry, and engineering-based models." The Genesis Mission follows several AI actions earlier in 2025. In January, the White House revoked a Biden administration order requiring companies to submit model-safety testing and evaluation results, arguing the policy slowed innovation. In July, the administration moved to ban so-called woke AI by directing federal agencies to support the development of AI systems free from ideological bias. The administration also reorganized federal oversight bodies, shifting them toward evaluation and competitiveness rather than the broader safety-testing framework used under the prior administration. Most recently, in an attempt to block state-backed AI regulations, the administration said it is considering an executive order to establish a federal AI regulatory framework. Monday's order directs national laboratories to expand existing supercomputers and connect them directly to scientific instruments, allowing AI systems to generate and validate predictions in real time. Officials said the United States already operated several of the world's highest-ranked machines. Under the order, the Department of Energy has 90 days to identify federal and cloud-based computing resources, 120 days to select initial datasets and models, and 240 days to review robotic and automated laboratory systems. The department is required to demonstrate an initial operating capability within 270 days. According to the White House, private sector interest in the Genesis Mission program had been "overwhelming," with an official noting that several companies -- including Nvidia, Dell, and AMD -- agreed to expand AI-focused computing capacity at national laboratories. Responding to questions about rising electricity demand from data centers, an official said increased load would drive new generation capacity and eventually lower per-unit costs. The official said the long-term effect would be to "reduce the price of electricity in the United States and increase the reliability of our grid." "Ultimately, AI and the buildout of hyperscalers will be a force to reduce the price of electricity in the United States and to increase the reliability of our grid," they said. The order also directs agencies to propose new scientific challenges and create a structure to coordinate research, data access, and partnerships across government, universities, and industry. The National Science and Technology Council would lead this work, with support from federal data and AI councils. It also creates research fellowships at national laboratories and requires the Department of Energy to file annual reports on platform performance, research progress, participation, and partnership outcomes. "In this pivotal moment, the challenges we face require a historic national effort, comparable in urgency and ambition to the Manhattan Project that was instrumental to our victory in World War II and was a critical basis for the foundation of the Department of Energy (DOE) and its national laboratories," the order said.

Trump signs executive order launching "Genesis" mission to expedite scientific discovery using AI

Washington -- President Trump on Monday signed an executive order meant to accelerate scientific discovery through the use of artificial intelligence, directing the Energy Department and its national labs to build an integrated AI platform using their existing and future supercomputers. The goal of what the White House is calling the "Genesis Mission" is to speed the research and scientific discovery process by analyzing massive data sets in the science, engineering, energy and health care spaces from the federal government, university and private sector with supercomputing technology. It's an AI initiative the White House hopes will result in quicker breakthroughs in areas of research including disease therapies. Michael Krastios, science adviser to the president, told reporters on a conference call the Genesis mission is "the largest marshaling of federal scientific resources since the Apollo program." "By fusing massive federal data sets, advanced supercomputing capabilities, and world-leading scientific facilities, the Genesis mission will use AI to automate experiment design, accelerate simulation and generate protective models for everything from protein folding to fusion plasma dynamics," Krastios said. "This will shorten discovery timelines from years to days or even hours, empowering scientists to test bolder hypotheses and discover breakthroughs currently unreachable." White House officials told reporters on the conference call that they want to bring in AI supercomputing capacity that the private sector is building. The White House said there's been significant interest from the private sector from companies that include Nvidia and Dell. The effort will begin with the existing supercomputers at the Department of Energy's 17 national labs, although the administration intends to build more supercomputers. It's not clear, however, how the mission will be funded, and White House officials suggested that more help from Congress could be needed down the road. One of the officials on the call said the Energy Department already operates "some of the best supercomputing facilities in the world." The official said that the administration will leverage all available resources and, with the help of Congress would "continue to invest increasing amounts for the success of the mission." "I think we will see unbelievable advancements in health sciences, so many diseases today that are unfortunate death sentences," one of the officials on the call said. "We're going to understand the exact chemistry and biology that they are and how to combat that. We've seen progress with that relatively significant progress the last five years. It's nothing compared to what we're going to see in the next five years."

Trump signs executive order launching AI initiative compared to the Manhattan Project

President Donald Trump in the Oval Office on Friday.Andrew Harnik / Getty Images President Donald Trump signed an executive order Monday afternoon launching a new federal effort to supercharge American artificial intelligence research, development and scientific applications. Unveiling the new "Genesis Mission" to support American efforts on AI, the order charted out a series of steps to expand computational resources, increase access to vast federal datasets and move towards impactful, real-world applications, particularly in scientific fields. "The Genesis Mission will dramatically accelerate scientific discovery, strengthen national security, secure energy dominance, enhance workforce productivity, and multiply the return on taxpayer investment into research and development," the order stated. Michael Kratsios, Assistant to the President for Science and Technology and director of the Office for Science and Technology Policy, will lead the effort. Among other measures, the order charged Secretary of Energy Chris Wright with establishing a new "American Science and Security Platform" to centralize the infrastructure required for the new push. According to the order, the platform will focus on providing researchers with the computing power and datasets necessary to train AI models. "The Genesis Mission will build an integrated AI platform to harness Federal scientific datasets -- the world's largest collection of such datasets, developed over decades of Federal investments -- to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs," the order said. The order opened the door to significantly increased public-private partnerships on AI development: within 90 days, the Secretary of Energy must identify systems and data available to support the program, including "resources available through industry partners." AI systems require immense datasets in order to learn how to represent the real world. With its vast troves of information about Americans and their activities, the federal government has an enviable, but often decentralized and disorganized, gold mine of data untapped by AI companies to-date. Monday's order targeted these barriers to data-sharing, giving Kratsios responsibility of "integrating appropriate and available agency data and infrastructure into the Mission." With increased computing resources and access to data, AI should then be applied to practical and critical scientific issues within 270 days, the order stated. These areas of "science and technology challenges of national importance" include advanced manufacturing and robotics, biotechnology and nuclear fission and fusion. Monday's announcement builds on the existing National Artificial Intelligence Research Resource (NAIRR). The NAIRR was created in 2020 by the National Artificial Intelligence Initiative Act of 2020 to provide a shared, robust national research infrastructure to "accelerate AI and AI-powered discovery and innovation." The NAIRR started as a pilot program, bringing together a coalition of federal agencies, ranging from the Department of Defense and NASA to the National Institutes of Health, and non-governmental organizations like OpenAI, Google and Palantir, to set up a nationwide research community. Lynne Parker, who co-chaired the NAIRR Task Force as Deputy Chief Technology Officer of the United States and is now Associate Vice Chancellor Emirata at the University of Tennessee, Knoxville, said federal support for AI research is pivotal to future progress. "Government support for AI research builds the foundation for new breakthroughs and helps keep innovation aligned with the public interest," Parker told NBC News. "We take for granted that new products appear regularly but seldom consider the decades of research that made them possible." "Without long-term investment, we risk ceding leadership in the technologies that will define our economy, our security, and our daily lives," she said. The Trump administration's AI Action Plan, released in July, emphasized the role of national research and development efforts, partially stemming from the NAIRR, "to foster the next generation of AI breakthroughs." Monday's executive order came weeks after the federal government announced new partnerships with some of America's leading AI companies to build the next generation of AI-focused supercomputers. At the end of October, the U.S. Department of Energy announced a new partnership with AMD to launch two new supercomputers at the Oak Ridge National Laboratory, home to some of America's leading federal AI researchers. "Winning the AI race requires new and creative partnerships that will bring together the brightest minds and industries American technology and science has to offer," U.S. Secretary of Energy Chris Wright said at the time in a statement. "Working with AMD and HPE, we're bringing new capacity online faster than ever before, turning shared innovation into national strength, and proving that America leads when private-public partners build together," Wright said, referencing Hewlett Packard Enterprise (HPE)'s role in building the supercomputers. At the beginning of November, the Department of Energy announced further plans to expand Oak Ridge's Leadership Computer Facility with high-powered Nvidia chips to tackle complex quantum-computing and AI-focused research.

What to know about Trump's order for the AI project 'Genesis Mission'

'Genesis Mission' is part of an executive order that directs the Department of Energy and national labs to build a digital platform to consolidate U.S. scientific data. President Donald Trump is directing the federal government to combine efforts with tech companies and universities to convert government data into scientific discoveries, acting on his push to make artificial intelligence the engine of the nation's economic future. Trump unveiled the "Genesis Mission" as part of an executive order he signed Monday that directs the Department of Energy and national labs to build a digital platform to concentrate the nation's scientific data in one place. It solicits private sector and university partners to use their AI capability to help the government solve engineering, energy and national security problems, including streamlining the nation's electric grid, according to White House officials who spoke to reporters on condition of anonymity to describe the order before it was signed. Officials made no specific mention of seeking medical advances as part of the project. "The Genesis Mission will bring together our Nation's research and development resources -- combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites -- to achieve dramatic acceleration in AI development and utilization," the executive order says. The administration portrayed the effort as the government's most ambitious marshaling of federal scientific resources since the Apollo space missions of the late 1960s and early 1970s, even as it had cut billions of dollars in federal funding for scientific research and thousands of scientists had lost their jobs and funding. Trump is increasingly counting on the tech sector and the development of AI to power the U.S. economy, made clear last week as he hosted Saudi Arabia's Crown Prince Mohammed bin Salman. The monarch has committed to investing $1 trillion, largely from the Arab nation's oil and natural gas reserves, to pivot his nation into becoming an AI data hub. For the U.S.'s part, funding was appropriated to the Energy Department as part of the massive tax-break and spending bill signed into law by Trump in July, White House officials said. As AI raises concerns that its heavy use of electricity may be contributing to higher utility rates in the nearer term, which is a political risk for Trump, administration officials argued that rates will come down as the technology develops. They said the increased demand will build capacity in existing transmission lines and bring down costs per unit of electricity. Data centers needed to fuel AI accounted for about 1.5% of the world's electricity consumption last year, and those facilities' energy consumption is predicted to more than double by 2030, according to the International Energy Agency. That increase could lead to burning more fossil fuels such as coal and natural gas, which release greenhouse gases that contribute to warming temperatures, sea level rise and extreme weather. The project will rely on national labs' supercomputers but will also use supercomputing capacity being developed in the private sector. The project's use of public data including national security information along with private sector supercomputers prompted officials to issue assurances that there would be controls to respect protected information.

US Launches Genesis Mission for AI‑Driven Scientific Discovery | AIM

The mission seeks to transform America's research infrastructure and secure technological leadership The White House has unveiled a sweeping new national initiative, dubbed the Genesis Mission aimed at using AI to accelerate scientific research and innovation. By tapping into the federal government's vast trove of research datasets and high-performance computing resources, the mission seeks to transform America's research infrastructure and secure technological leadership. "This pivotal moment ... requires a historic national effort, comparable in urgency and ambition to the Manhattan Project," the order released by the White House stated, calling Genesis a coordinated effort to deploy AI-enabled models and agents for hypothesis testing, automated research workflows, and scientific breakthroughs. Under the directive, the US Department of Energy (DOE) will lead the effort, building out what is called the American Science and Security Platform. This platform will provide unified access to supercomputers, AI modeling frameworks, secure scientific datasets, and tools for autonomous experimentation. The order directs the DOE Secretary to identify and integrate computing, storage, and networking resources, including cloud-based systems and national laboratories within 90 days. By 120 days, the Secretary must propose a portfolio of initial data and model assets; by 240 days, review lab capabilities for AI-augmented research; and within 270 days, establish a working prototype of the platform for at least one national science challenge. More than two dozen "science and technology challenges" have been identified for the mission, including areas such as advanced manufacturing, biotechnology, critical materials, nuclear energy, quantum information science, and microelectronics. President Donald Trump has assigned overall leadership of the mission to the assistant to the president for science and technology (APST), who will coordinate interagency efforts through the National Science & Technology Council (NSTC). The APST is also tasked with guiding strategy, funding prizes, and establishing partnerships with national laboratories, universities, and private-sector entities. Genesis is expected to mobilise America's research and development assets including DOE labs, academic institutions, and major technology companies to train scientific foundation models and build agentic AI that can "test new hypotheses" and "automate research workflows." The mission explicitly aims to "dramatically accelerate scientific discovery, strengthen national security, strengthen energy dominance ... and multiply the return on taxpayer investment," the order declares. In addition, the order establishes new mechanisms for external collaboration and funding: it calls for cooperative R&D agreements, prize competitions, and standardised data- and model-sharing frameworks. It also outlines rules for data governance, IP licensing, export controls, and security approvals. "We will harness ... the world's largest collection of scientific datasets ... to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs," the order reads. To evaluate progress, the DOE Secretary must submit an annual report to the President, detailing platform performance, lab integration, user engagement, research outcomes, and partner collaboration.

Trump signs executive order for AI project called Genesis Mission to boost scientific discoveries

President Donald Trump is directing the federal government to combine efforts with tech companies and universities to convert government data into scientific discoveries, acting on his push to make artificial intelligence the engine of the nation's economic future. Trump unveiled the "Genesis Mission" as part of an executive order he signed Monday that directs the Department of Energy and national labs to build a digital platform to concentrate the nation's scientific data in one place. It solicits private sector and university partners to use their AI capability to help the government solve engineering, energy and national security problems, including streamlining the nation's electric grid, according to White House officials who spoke to reporters on condition of anonymity to describe the order before it was signed. Officials made no specific mention of seeking medical advances as part of the project. "The Genesis Mission will bring together our Nation's research and development resources -- combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites -- to achieve dramatic acceleration in AI development and utilization," the executive order says. The administration portrayed the effort as the government's most ambitious marshaling of federal scientific resources since the Apollo space missions of the late 1960s and early 1970s, even as it had cut billions of dollars in federal funding for scientific research and thousands of scientists had lost their jobs and funding. Trump is increasingly counting on the tech sector and the development of AI to power the U.S. economy, made clear last week as he hosted Saudi Arabia's Crown Prince Mohammed bin Salman. The monarch has committed to investing $1 trillion, largely from the Arab nation's oil and natural gas reserves, to pivot his nation into becoming an AI data hub. For the federal government's part, funding was appropriated to the Energy Department as part of the massive tax-break and spending bill signed into law by Trump in July, White House officials said. As AI raises concerns that its heavy use of electricity may be contributing to higher utility rates in the nearer term, which is a political risk for Trump, administration officials argued that rates will come down as the technology develops. They said the increased demand will build capacity in existing transmission lines and bring down costs per unit of electricity. Data centers needed to fuel AI accounted for about 1.5% of the world's electricity consumption last year, and those facilities' energy consumption is predicted to more than double by 2030, according to the International Energy Agency. That increase could lead to burning more fossil fuels such as coal and natural gas, which release greenhouse gases that contribute to warming temperatures, sea level rise and extreme weather. The project will rely on national labs' supercomputers but will also use supercomputing capacity being developed in the private sector. The project's use of public data including national security information along with private sector supercomputers prompted officials to issue assurances that there would be controls to respect protected information.

Trump Aims to Boost AI Innovation, Build Platform to Harness Government Data

(Reuters) -President Donald Trump on Monday signed an executive order to launch a government-wide effort to build an integrated artificial intelligence platform to harness federal scientific datasets to train next-generation technologies. The effort, dubbed the Genesis Mission, aims to transform scientific research and speed scientific discoveries by using massive government scientific datasets "to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs." (Reporting by David Shepardson; Editing by Leslie Adler)

Trump signs order creating Genesis Mission to boost AI-driven research

Trump signs order creating Genesis Mission to boost AI-driven research President Trump on Monday signed an executive order establishing the Genesis Mission, a new endeavor to expand AI resources for scientific research. The Genesis Mission, which the administration is comparing to the Apollo program that sent Americans to the moon in the late 1960s, seeks to create an integrated AI platform that brings together federal datasets, computing resources and AI tools to boost scientific discovery. "Since the 1990s, America's scientific edge has faced growing challenges -- new drug approvals have flatlined or declined, more researchers are needed to achieve the same output and workforce training has stagnated," Michael Kratsios, director of the White House Office of Science and Technology Policy, told reporters Monday. "Genesis Mission aims to overcome these challenges by unifying agency scientific efforts and integrating AI as a scientific tool to revolutionize the way science and research are conducted," he continued. The executive order directs Energy Secretary Chris Wright to create and operate the "American Science and Security Platform," which the White House describes as "a closed-loop AI experimentation platform" bringing together existing resources from the National Laboratories. This is meant to include high-performance computing resources, AI modeling and analysis frameworks, computational tools, domain-specific foundation models and secure access to datasets. Wright is also tasked with identifying a list of "science and technology challenges of national importance," as well as evaluating federal computing resources and identifying potential partnerships. He suggested Monday that several previously announced partnerships are part of this effort to expand computing resources, pointing to new projects from Nvidia, AMD and HPE with the National Laboratories. The energy secretary sought to frame the Genesis Mission in the context of the president's new affordability push, arguing that the "ultimate goal of this is to make lives better for American citizens." "What does innovation and improvement drive? It drives efficiency," Wright said. "We want the federal government to work better, to work faster, more accurately and more efficient for the American people and want the American economy to do the same thing. And what do you get out of that? More production, less cost, lower prices." Trump has increasingly focused his attention on this affordability message in recent weeks after a disappointing performance for Republicans in the off-year elections earlier this month.

Trump signs order harnessing federal resources for AI boom

Google just rolled out Gemini 3, its newest AI model, and it's built to handle tougher questions with way less prompting. The federal government's scientific data and computing power will help feed the artificial intelligence boom under an executive order signed by President Donald Trump. The Nov. 24 executive order creates the Genesis Mission, which the Trump administration describes as one of the nation's largest "marshalling of federal scientific resources." Administration officials said AI companies will get access to scientific data sets held by the government, which operates 17 National Laboratories through the Department of Energy. The Labs conduct cutting-edge research and have some of the world's most advanced supercomputers. Energy Secretary Chris Wright said the goal is to harness AI for "scientific discovery." "And to do that, you need the data sets that are contained across our National Labs," Wright said, adding: "This will drive an incredible increase in the pace of scientific discovery and innovation." The order also directs the government to create a computing platform for integrating AI with the National Labs infrastructure, and to establish a set of priorities for scientific discovery, according to a White House official. The order comes amid a massive wave of AI investment, with tech companies devoting huge funds to developing AI models and the infrastructure needed to support them. The companies need data sets to train their models. The federal data represents another source. It comes with concerns about accessing copyrighted or sensitive material that could have national security implications. Controls will be put in place to protect such data, an official said. After a once-cool relationship with Silicon Valley, Trump has been embraced by many tech leaders in his second term, and the president has taken a favorable approach to the industry, promoting cryptocurrencies, warning foreign countries against adopting tech regulations, and pushing a plan for American dominance in artificial intelligence while dropping former President Joe Biden's AI restrictions. The White House also was considering an executive order that would seek to preempt state laws on artificial intelligence through lawsuits and by withholding federal funds, but has put that order on hold, according to Reuters. Trump hosted a Sept. 4 dinner at the White House that included a who's who of the tech world elite.

Trump signs executive order for AI project called Genesis Mission to boost scientific discoveries - The Economic Times

President Donald Trump is directing the federal government to combine efforts with tech companies and universities to convert government data into scientific discoveries, acting on his push to make artificial intelligence the engine of the nation's economic future. Trump unveiled the "Genesis Mission" as part of an executive order he signed Monday that directs the Department of Energy and national labs to build a digital platform to concentrate the nation's scientific data in one place. It solicits private sector and university partners to use their AI capability to help the government solve engineering, energy and national security problems, including streamlining the nation's electric grid, according to White House officials who spoke to reporters on condition of anonymity to describe the order before it was signed. Officials made no specific mention of seeking medical advances as part of the project. "The Genesis Mission will bring together our Nation's research and development resources -- combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites -- to achieve dramatic acceleration in AI development and utilization," the executive order says. The administration portrayed the effort as the government's most ambitious marshalling of federal scientific resources since the Apollo space missions of the late 1960s and early 1970s, even as it had cut billions of dollars in federal funding for scientific research and thousands of scientists had lost their jobs and funding. Trump is increasingly counting on the tech sector and the development of AI to power the U.S. economy, made clear last week as he hosted Saudi Arabia's Crown Prince Mohammed bin Salman. The monarch has committed to investing $1 trillion, largely from the Arab nation's oil and natural gas reserves, to pivot his nation into becoming an AI data hub. For the U.S.'s part, funding was appropriated to the Energy Department as part of the massive tax-break and spending bill signed into law by Trump in July, White House officials said. As AI raises concerns that its heavy use of electricity may be contributing to higher utility rates in the nearer term, which is a political risk for Trump, administration officials argued that rates will come down as the technology develops. They said the increased demand will build capacity in existing transmission lines and bring down costs per unit of electricity. Data centers needed to fuel AI accounted for about 1.5% of the world's electricity consumption last year, and those facilities' energy consumption is predicted to more than double by 2030, according to the International Energy Agency. That increase could lead to burning more fossil fuels such as coal and natural gas, which release greenhouse gases that contribute to warming temperatures, sea level rise and extreme weather. The project will rely on national labs' supercomputers but will also use supercomputing capacity being developed in the private sector. The project's use of public data including national security information along with private sector supercomputers prompted officials to issue assurances that there would be controls to respect protected information.

White House Unveils Apollo-Like 'Genesis Mission' As Trump Orders Massive AI Overhaul To Boost Innovation - Advanced Micro Devices (NASDAQ:AMD), Hewlett Packard (NYSE:HPE)

President Donald Trump on Monday launched a sweeping national effort to rebuild America's scientific edge, unveiling a new AI-driven initiative the White House is comparing to the Apollo program. Trump Establishes 'Genesis Mission' To Supercharge Research Trump signed an executive order creating the "Genesis Mission," a government-wide push to unify federal scientific resources and embed artificial intelligence into U.S. research infrastructure, reported The Hill. The initiative aims to merge federal datasets, high-performance computing and advanced AI tools into a single platform designed to speed discoveries across medicine, defense and energy. "Since the 1990s, America's scientific edge has faced growing challenges," Michael Kratsios, director of the White House Office of Science and Technology Policy, told reporters. "Genesis Mission aims to overcome these challenges by unifying agency scientific efforts and integrating AI as a scientific tool to revolutionize the way science and research are conducted." See Also: Xi Jinping Says US-China Trade Relations Maintain Positive Momentum As Trump Considers Allowing Nvidia AI Chip Sales To Beijing Energy Department To Lead AI Platform Buildout The order directs Energy Secretary Chris Wright to build and operate the American Science and Security Platform, described as a "closed-loop AI experimentation system" drawing on the capabilities of the National Laboratories. The platform is expected to include AI modeling frameworks, computational tools and secure access to federal datasets. Wright will also identify top national science challenges and evaluate government computing capacity, including partnerships with Nvidia Corporation (NASDAQ:NVDA), Advanced Micro Devices, Inc. (NASDAQ:AMD) and Hewlett Packard (NYSE:HPE). White House Pauses Plan To Limit State AI Powers This move follows last week's report that Trump was weighing an executive order that would significantly curb states' authority over AI. However, Reuters subsequently reported that the White House hit pause on the draft. Benzinga's Edge Stock Rankings indicate Nvidia continues to post strong Momentum, Growth and Quality, maintaining a solid long-term uptrend despite some softening in its short- and mid-term trends. Click here to see how it stacks up against peers. Read Next: David Tepper's Hedge Funds Bets On AMD, Nvidia In Q3, Takes Profits On Intel Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo courtesy: Shutterstock/ IAB Studio AMDAdvanced Micro Devices Inc$207.25-3.63%OverviewHPEHewlett Packard Enterprise Co$21.09-%NVDANVIDIA Corp$177.13-2.97%Market News and Data brought to you by Benzinga APIs

Trump Launches Genesis Mission for AI-Driven Scientific Research

US President Donald Trump launched the Genesis Mission on November 24, 2025, through an Executive Order directing the Department of Energy (DOE) to build a unified national platform for AI-driven scientific research. The order instructs the Secretary of Energy to oversee the mission "within DOE, consistent with the provisions of this order, including, as appropriate and authorised by law, setting priorities and ensuring that all DOE resources used for elements of the Mission are integrated into a secure, unified platform." It also assigns the Assistant to the President for Science and Technology (APST) to coordinate the programme across federal departments and agencies. The DOE states that the initiative "will transform American science and innovation through the power of artificial intelligence (AI), strengthening the nation's technological leadership and global competitiveness." The mission will combine federal scientific datasets, high-performance computing at national laboratories, and partnerships with industry and academia to create an integrated AI system capable of training scientific foundation models, generating AI research agents, and accelerating discovery across disciplines. According to the Department, the programme will target three challenge areas: enhancing American energy dominance, advancing discovery science, and supporting national security. Officials describe the effort as a modern national-scale science project anchored in DOE's capabilities. US Secretary of Energy Chris Wright said, "Throughout history, from the Manhattan Project to the Apollo mission, our nation's brightest minds and industries have answered the call when their nation needed them." He added that, under President Trump's direction, the Genesis Mission will use the full capabilities of national laboratories, supercomputers, and data resources to position the United States as a leader in artificial intelligence and drive a new era of scientific progress. The Executive Order places the American Science and Security Platform at the centre of the Genesis Mission and directs the Secretary of Energy to build and manage it as a unified national research system. The Platform must bring together DOE supercomputers, advanced networking, and secure cloud-AI environments into a single integrated computing layer. It must also provide AI-modelling frameworks, including agents that can explore design spaces, automate scientific workflows, and support iterative experimentation. Additionally, the Platform must deliver predictive models, simulation tools, design-optimisation systems, and domain-specific foundation models across the scientific fields the Mission prioritises. The Order also lays out comprehensive requirements for data access. The Platform must provide secure access to proprietary, federally curated, open, and synthetic datasets, consistent with classification rules, privacy protections, intellectual-property rights, and federal data-management standards. At the same time, the Secretary must ensure that the Platform satisfies national security expectations, supply-chain integrity obligations, and federal cybersecurity rules. The Executive Order establishes an aggressive build-out schedule. Within 90 days, the Secretary must identify available federal computing, storage, and networking resources. After 120 days, the Secretary must present initial data assets, model assets, and a plan for incorporating datasets from approved research institutions and industry partners. Within 240 days, the Secretary must review national laboratory capabilities for robotic laboratories and AI-augmented manufacturing. Finally, within 270 days, the Secretary must seek to demonstrate an initial operating capability for at least one designated science and technology challenge. The Executive Order establishes a structured process for identifying the Genesis Mission's first scientific priorities. Within 60 days, the Secretary of Energy must submit to the APST a list of at least 20 challenges that the Mission believes AI can meaningfully accelerate. These challenges must span strategically important domains, including advanced manufacturing, biotechnology, critical materials, nuclear fission and fusion, quantum information science, and semiconductors or microelectronics. As a result, the Mission's initial scope must cover a wide set of national technology needs. 30 days after receiving the Secretary's list, the APST, working through the National Science and Technology Council (NSTC), must coordinate the development of an expanded list. This refined list will serve as the Mission's first formal set of challenges, and participating agencies will then use the American Science and Security Platform to advance research aligned with those priorities, subject to law and available appropriations. Therefore, the prioritisation framework not only determines where AI capability will be applied but also guides how agencies structure their research pipelines. The Order embeds an annual accountability process. Each year, the Secretary must review and update the challenge list in consultation with the APST and NSTC. This review must consider scientific progress, evolving national needs, and alignment with the Administration's broader research and development strategy. As a result, the challenge list becomes a living document that requires agencies to continually justify progress while adapting to emerging technological demands. The Executive Order assigns broad coordination responsibilities to the APST, who must guide participating agencies through the NSTC and ensure alignment with national objectives. Consequently, agencies must synchronise their AI-related programmes, datasets, and research infrastructure with Mission requirements. They must also identify relevant data sources, integrate appropriate datasets into the Platform, and participate in coordinated funding opportunities or prize competitions developed through the NSTC. In doing so, the Mission aims to minimise duplication, promote interoperability, and ensure that federal AI research advances consistently. In addition, the Secretary, working with the APST and other advisers, must establish uniform frameworks governing collaboration with non-federal partners. These frameworks must define intellectual-property ownership rules, licensing structures, data-access standards, cybersecurity requirements, and user-vetting procedures for researchers seeking access to Mission resources. As a result, federal agencies, national laboratories, academic institutions, and industry partners will operate under a shared set of rules that protect national interests while enabling scientific cooperation. The Order also directs agencies to support mechanisms for domestic and international collaboration. Accountability is reinforced through a mandatory annual reporting cycle. Each year, the Secretary must submit a report to the President, via the APST and the Director of the Office of Management and Budget, detailing the Platform's operational status, integration progress across national laboratories, user engagement, research outcomes, partnership performance, and any additional support or authorities the Mission requires. Consequently, the Genesis Mission must continually demonstrate measurable progress, operational coherence, and effective collaboration across the federal research ecosystem. Project Genesis represents a major escalation in the US's attempt to secure leadership in AI, signalling that the government views AI as a strategic asset rather than a conventional research area. The scale of the initiative, combined with its accelerated timelines, shows that Washington intends to consolidate federal computing power, scientific datasets, and AI-driven research under a coordinated national framework. Consequently, the Mission transforms the role of the Department of Energy from a scientific agency into a central command structure for frontier AI development, giving the US a unified platform that few countries can replicate. The project also matters globally because it mirrors the logic of the Manhattan Project and the Apollo programme, two efforts that reshaped geopolitical power. By directing national laboratories, industry partners, and academic researchers to work within a shared system, the US positions itself to move faster than rivals that rely on fragmented or purely commercial AI ecosystems. Additionally, the Mission's integration of secure datasets, robotic laboratories, and high-performance computing creates a state-backed research engine that could accelerate discovery far beyond market-driven timelines. As AI becomes the foundation of economic competitiveness and national security, Project Genesis signals that the US is preparing for a sustained technological contest, one where scientific computing, federal coordination, and rapid deployment may determine who leads the next era of global innovation.

Trump launches 'Genesis Mission' to boost AI with inspiration from...

WASHINGTON -- President Trump on Monday signed an executive order creating a federal "Genesis mission" to support US dominance in artificial intelligence -- with officials comparing it to the Apollo Program that landed men on the moon during the space race. Administration officials said the initiative would "massively accelerate the rate of scientific breakthroughs" by using "unmatched computing capabilities and resources of the Department of Energy's National Laboratories to unlock federal data sets." The National Labs will work with private companies to generate research that can be applied to healthcare, energy production and engineering, officials said. The document orders Energy Secretary Chris Wright to "establish and operate the American Science and Security Platform (Platform) to serve as the infrastructure for the Mission." The platform will include "high-performance computing resources, including DOE national laboratory supercomputers and secure cloud-based AI computing environments, capable of supporting large-scale model training, simulation, and inference," the order says. Wright is also ordered to determine federal research facilities "with the ability to engage in AI-directed experimentation and manufacturing" and to source "datasets from federally funded research, other agencies, academic institutions, and approved private-sector partners, as appropriate." The mission's goal is "bringing together of scientific data sets of the top scientists across our 17 National Laboratories, across our United States university system and across the private sector businesses that are focused on science, engineering, innovation and energy," an official said. Officials who briefed reporters on the plan said that the initiative will respect copyright protections for published works. "We're going to be very careful to respect intellectual property rights," one official said. "We've got to protect copyrights and sensitive information. That'll be true as long as the mission goes on." "The Genesis Mission will use AI to automate experiment design, accelerate simulations and generate predictive models for everything from protein folding to fusion plasma dynamics," one official said. "This will shorten discovery timelines from years to days or even hours, empowering scientists to test bolder hypotheses and discover breakthroughs currently unreachable." "With the power of AI, America is on the brink of a scientific revolution that will redefine American global scientific supremacy," he added. The president privately signed the document amid political backlash to a boom in data center construction, which has caused electricity prices to increase. The Energy Department has entered into partnerships this month with chipmakers and computing giants like Nvidia and Dell, AMD and HPE to support the mission, officials said. Those four companies said "we're ready to come build super compute facilities at your National Labs right now," said one official. "We will see unbelievable advancements in health sciences," a different official predicted. "We're going to understand the exact chemistry and biology that they are and how to combat [illnesses]. We've seen progress with that -- relatively significant progress in the last five years. It's nothing compared to what we're going to see in the next five years."

Trump signs executive order to launch AI platform for scientific research By Investing.com

Investing.com -- President Donald Trump signed an executive order on Monday to establish a government-wide initiative aimed at developing an integrated artificial intelligence platform that will utilize federal scientific datasets to train next-generation technologies. The initiative, named the Genesis Mission, seeks to transform scientific research and accelerate discoveries by leveraging extensive government scientific data "to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs." The executive order will coordinate efforts across federal agencies to build this AI platform, with the goal of enhancing the pace and efficiency of scientific innovation through advanced artificial intelligence capabilities. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Trump aims to boost AI innovation, build platform to harness government data

WASHINGTON (Reuters) -U.S. President Donald Trump on Monday signed an executive order to launch a government-wide effort to build an integrated artificial intelligence platform to harness federal scientific datasets to train next-generation technologies. The effort, dubbed the Genesis Mission, aims to transform scientific research and speed scientific discoveries by using massive government scientific datasets "to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs." Trump directed the U.S. Energy Department and U.S. National Laboratories "to unite America's brightest minds, most powerful computers, and vast scientific data into one cooperative system for research." DOE will create a closed-loop AI experimentation platform integrating U.S. supercomputers and datasets to generate foundation models and power robotic laboratories. Michael Kratsios, who heads the White House Office of Science and Technology Policy, said the effort aims to unlock federal datasets and "massively accelerate the rate of scientific breakthrough." He said the Genesis Mission aims to use AI to "automate experiment design, accelerate simulation and generate predictive models for everything from protein folding to fusion plasma dynamics. This will shorten discovery timelines from years to days or even hours." Energy Secretary Chris Wright noted the massive private-sector investment in AI but said the government wanted to pivot those efforts to "focus on scientific discovery, engineering advancements, and to do that, you need the data sets that are contained across our national labs." The order pays particular attention to U.S. national, economic, and health security, including biotechnology, critical materials, nuclear fission and fusion energy, space exploration, quantum information science, semiconductors and microelectronics. Trump has prioritized winning the AI race against China. Soon after taking office in January, Trump ordered his administration to produce an AI Action Plan that would make "America the world capital in artificial intelligence" and reduce regulatory barriers to its rapid expansion. He also rescinded an AI safety executive order signed by his predecessor Joe Biden. (Reporting by David Shepardson; Editing by Leslie Adler and Stephen Coates)