Tuesday, 02 January 2024 12:17 GMT

Washington Bets $80 Billion On Nuclear To Power The A.I. Boom


(MENAFN- The Rio Times) The United States has struck a strategic partnership with Westinghouse-owned by Brookfield Asset Management and Cameco-valued at least at $80 billion to accelerate new nuclear reactors aimed squarely at feeding the country's surging artificial-intelligence and data-center demand.

The move aligns with a May directive from President Donald Trump that calls for 10 large reactors with completed designs to be under construction by 2030, signaling the most assertive U.S. push into nuclear power in years.

Here's the story, and the story behind it. The headline is simple: AI is hungry for electricity-steady, around-the-clock power that won't blink when the wind calms or clouds roll in.

Large reactors like Westinghouse's AP1000 produce roughly a gigawatt of continuous output, exactly the kind of baseload that massive server farms prefer.

That is why Washington is pairing industrial policy with private providers: the state can smooth financing and permitting while companies build and operate plants that plug directly into stressed regional grids and new data-center clusters.


U.S. Nuclear Push Could Redraw the Global Energy Map for AI
The fine print matters. No sites or in-service dates have been announced, and the United States still has to navigate long licensing timelines, a complex supply chain, and a limited pool of experienced nuclear contractors.

Even so, the political calculus has shifted. With reserve margins tightening and big technology firms pledging nuclear-backed power for new campuses, the government is betting that firm, carbon-free generation is now a competitiveness issue as much as an energy one.

Why this should matter to readers outside the United States: an American nuclear buildout would ripple through global markets. Uranium mining and fuel services, heavy components, engineering talent, grid equipment, and data-center site selection are all international.

Cheaper, steadier power for U.S. AI could change where models are trained, where cloud services expand, and how capital flows into energy infrastructure from Canada to Kazakhstan-and into emerging data hubs across Latin America.

What to watch next is concrete: plant locations, offtake contracts with utilities and data-center operators, Nuclear Regulatory Commission milestones, and the split between federal loan support and private investment.

If those pieces fall into place, this won't just be a U.S. power story-it will be a new chapter in how the world supplies energy to computation.

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The Rio Times

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