SHARON AI Doubles Texas Land Bet for 1GW AI Factory Amid SPAC Risks

NEW YORK, NY – November 24, 2025 – In a bold move signaling the ferocious global appetite for artificial intelligence infrastructure, Australian “Neocloud” provider SHARON AI has dramatically expanded its ambitions in the United States. Through its joint venture, Texas Critical Data Centers LLC (TCDC), the company announced the acquisition of an additional 203 acres in West Texas, nearly doubling the footprint of its planned data center campus to a colossal 438 acres.

The expansion solidifies plans for a facility designed to support over one gigawatt (1GW) of power capacity, placing it among the largest AI-focused data center projects in the nation. This significant capital investment comes at a pivotal moment for SHARON AI, as it navigates a complex and unconventional path to a U.S. public listing, betting that the promise of a massive “AI factory” will captivate investors in a market defined by an insatiable demand for computing power.

The Gigawatt Gamble in West Texas

The project, located in Ector County outside Odessa, is a cornerstone of SHARON AI’s strategy to penetrate the highly competitive American market. The joint venture, a 50/50 partnership with New Era Energy & Digital Inc., is now advancing engineering and master site planning for the 438-acre campus. The land acquisition, expected to close within the next thirty days, paves the way for phase one construction to begin in 2026.

“We are pleased to expand the campus to 438 acres, taking another major step towards creating gigascale AI factory infrastructure designed for hyperscale, AI labs and large enterprise customers,” said Wolf Schubert, CEO of SHARON AI, in a statement accompanying the announcement. The company is targeting an initial capacity of 400 megawatts (MW) to be available by 2027, contingent on securing customer commitments.

The site was strategically chosen for its proximity to critical infrastructure, including high-capacity fiber routes, major natural gas transmission lines, and established CO₂ pipeline corridors—assets TCDC believes will shorten development timelines and improve project economics. The operational model is designed for flexibility, with plans for recurring revenue through long-term leases, energy sales, and powered-shell transactions tailored to major AI and hyperscale clients.

Navigating a Complicated Path to Public Markets

Underpinning this massive infrastructure play is SHARON AI’s impending debut on the U.S. public markets through a business combination with Roth CH Acquisition Co. (USCTF), a special purpose acquisition company (SPAC). However, the path forward appears far from standard. Recent developments indicate that Roth CH opted to liquidate its trust account—the pool of capital typically used to fund a merger—while not terminating the merger agreement itself. This unusual maneuver effectively transforms the SPAC into a publicly listed shell company, shifting the transaction from a typical SPAC deal to a more direct reverse merger.

This altered structure introduces considerable uncertainty. Financial data for Roth CH Acquisition Co. paints a precarious picture, with a reported “weak” financial health rating and a high-volatility stock profile. For SHARON AI, this means its entry into the public markets will rely heavily on its ability to convince investors of its long-term vision, with the Texas gigaproject serving as its primary exhibit. The land expansion is a tangible, capital-intensive demonstration of commitment, designed to build confidence ahead of a listing process that now carries additional layers of risk and complexity.

AI's Unquenchable Thirst for Power

The ambition to build a 1GW data center campus thrusts SHARON AI directly into the center of one of the energy transition's greatest challenges: fueling the explosive growth of artificial intelligence. While West Texas offers vast land and abundant energy resources, securing over a gigawatt of reliable power from the state's notoriously independent and weather-vulnerable grid, managed by ERCOT, is a monumental undertaking.

The scale of this challenge is driving a paradigm shift across the industry. SHARON AI’s project joins a growing list of mega-developments forcing companies to become energy players in their own right. For context, Google is investing $40 billion in Texas and has committed to adding over 6,200 MW of new energy to the grid via power purchase agreements. Meanwhile, other developers are pursuing self-generation; Infrakey is planning a 1.2 GW campus near Waco that includes its own gas-fired power plant, and SHARON AI's own joint venture partner, New Era, is separately planning a 7 GW AI campus in New Mexico that may incorporate nuclear and gas power plants.

This trend underscores the reality that building AI factories is as much an energy and resource challenge as it is a technological one. The demand for power is forcing a direct confrontation with grid limitations, water resources, and sustainability goals. SHARON AI's project, designed to integrate advanced energy and cooling technologies, including potential carbon capture, reflects an acknowledgment that success in this new era requires a sophisticated and resilient energy strategy.

The 'Neocloud' Niche in a Hyperscale World

As an international firm entering a U.S. market dominated by giants like Amazon, Microsoft, and Google, SHARON AI is positioning itself not as a direct challenger but as a specialized provider. The company identifies as a “Neocloud,” a term for a new breed of cloud provider purpose-built for the unique demands of AI and high-performance computing (HPC) workloads. Unlike general-purpose hyperscalers, Neoclouds focus on delivering raw, scalable GPU-as-a-Service (GPUaaS) infrastructure optimized for the massive parallel processing required by AI models.

SHARON AI has already established its credentials in this niche. As a certified NVIDIA Cloud Partner, it operates a sovereign supercluster in Australia in partnership with data center operator NEXTDC and data platform VAST Data, serving enterprise and government clients. This experience provides a foundation for its U.S. expansion, where it plans to offer its GPU compute services, including access to NVIDIA's next-generation H200 chips in 2025.

By focusing on this specialized, high-demand segment, SHARON AI aims to carve out a profitable niche, offering a more flexible and potentially cost-effective alternative for companies that need pure AI computing power without the broader suite of services offered by hyperscalers. The 438-acre campus in Texas is the physical manifestation of this focused strategy—a bet that in the AI gold rush, there is immense value in supplying the most critical tool: raw, industrial-scale computational power.