X-Energy Leverages Artificial Intelligence and $1.9 Billion Liquidity to Accelerate SMR Nuclear Pipeline

Small modular reactor developer X-Energy, which completed its public market debut in April under the ticker XE on the Nasdaq, is positioning itself at the intersection of power infrastructure and artificial intelligence. The company recently joined Project Prometheus, a collective initiative launched alongside the Idaho National Laboratory, computing hardware giant Nvidia, and enterprise cloud platform Amazon.

First reported by Yahoo Finance, Project Prometheus obtained $60 million in funding through the United States Department of Energy, with X-Energy contributing an additional $10 million in direct capital alongside its proprietary reactor and fuel datasets. The initiative seeks to integrate advanced artificial intelligence models across multiple phases of the nuclear lifecycle, including reactor design, regulatory documentation, supply chain coordination, fuel production, and automated facility management.

The primary technology offering from X-Energy is the Xe-100, an 80-megawatt small modular reactor engineered for flexible, industrial-scale deployment. The company has already secured preliminary agreements with major corporate partners looking to secure long-term baseload electricity for manufacturing and computing infrastructure.

Industrial manufacturer Dow Inc. is collaborating with X-Energy to construct a four-reactor installation at its manufacturing facility in Seadrift, Texas. Meanwhile, Amazon has backed a deployment agreement with regional power provider Energy Northwest, aiming to support up to 5 gigawatts of electrical capacity by 2039. In international markets, British energy distributor Centrica is working alongside the company to explore potential project deployments in the United Kingdom.

Across its commercial agreements, X-Energy estimates its current project pipeline at 144 reactors, representing approximately 11.5 gigawatts of potential power capacity. Advanced nuclear projects have historically faced persistent challenges, including high initial engineering expenses, complex regulatory filings, and extended construction timelines. X-Energy is actively applying internal artificial intelligence platforms to address these structural delays by speeding up engineering design iterations and simplifying licensing documentation.

In addition to core reactor architecture, X-Energy is expanding its fuel supply chain through its specialized subsidiary, TRISO-X. The entity is currently constructing the TX-1 fuel fabrication facility in Oak Ridge, Tennessee, which is slated to become the first commercial U.S. plant optimized for high-assay low-enriched uranium TRISO fuel. Once fully operational, the TX-1 site is expected to produce enough fuel to support up to 11 Xe-100 reactors.

Financial results for the second quarter showed X-Energy generating $54.6 million in combined revenue and government grant funding, marking a 154 percent increase compared to the same period last year. This revenue stream was driven primarily by ongoing engineering agreements and federally supported technology development programs rather than commercial power sales.

Despite operating without net profitability, X-Energy maintains significant financial backing to support its development timeline. As of late June, the company reported $1.9 billion in total available liquidity with zero balance-sheet debt, providing substantial operational runway.

The dual momentum behind nuclear technology reflects broader shifts in enterprise infrastructure. While power-intensive artificial intelligence data centers are driving sharp increases in electrical demand, AI software tools are simultaneously giving developers new mechanisms to shorten nuclear deployment schedules. Converting an 11.5-gigawatt pipeline into active power generation will ultimately require X-Energy to navigate regulatory approvals, supply chain scaling, and complex construction schedules.