GridAI Technologies (NASDAQ: GRDX) announced a definitive share exchange agreement to acquire Pronghorn Resources LLC, a natural gas production and energy infrastructure company operating in Wyoming's Powder River Basin. The acquisition would establish a vertically integrated platform to supply dedicated power and infrastructure to artificial intelligence (AI) and hyperscale data centers.
Pronghorn's assets include approximately 100 million cubic feet of daily natural gas production, nearly 2 trillion cubic feet of estimated reserves, approximately 1 million acres of mineral and leasehold interests, and more than 450 miles of pipeline infrastructure. The existing infrastructure represents approximately $1.7 billion in historical capital expenditures.
GridAI plans to leverage these assets to develop dedicated natural gas-fired power generation, targeting initial electricity delivery in 2027 and phased expansion to support larger AI computing campuses. In connection with the acquisition, GridAI also entered into an agreement to acquire exclusive Wyoming development rights for FANCO's Bridge Power platform, which is designed to support near-term electricity generation and potential future integration of small modular nuclear reactors. The company also intends to evaluate carbon capture and geological sequestration opportunities within the Powder River Basin.
Under the transaction terms, Pronghorn members will receive GridAI common and convertible preferred shares, subject to applicable approvals and adjustments. The acquisition is expected to close on or before Nov. 22, 2026. To view the full press release, visit https://nnw.fm/7wiqY.
The transaction highlights a growing trend among AI infrastructure developers to secure control over energy supply, as data center power demand surges. By owning natural gas production, pipelines, and generation capacity, GridAI aims to reduce reliance on third-party utilities and accelerate the deployment of large-scale computing facilities. The inclusion of FANCO's Bridge Power platform suggests a pathway toward lower-carbon generation, with small modular nuclear reactors as a potential future component. The evaluation of carbon capture and sequestration further signals an intent to address environmental considerations.
For readers, the deal could translate into more reliable and potentially cost-effective AI services as infrastructure bottlenecks are addressed. For the energy industry, it represents a notable convergence of fossil fuel production with digital infrastructure, potentially influencing how power is procured for high-density computing. The transaction is subject to approvals and adjustments, and its completion by the specified deadline will be a key milestone to watch.
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