AI Models & Platforms

SpaceX Unveils Two AI Supercomputing Campus Plans in Texas and Arizona

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SpaceX on November 12, 2026 announced plans for two AI supercomputing campuses representing more than $74 billion in planned investment: up to $24 billion at Starbase, Texas, and roughly $50 billion in Cochise County, Arizona, where county approval is still required.

The Starbase facility is intended to train frontier AI systems for medical research, emergency response, advanced manufacturing and national security, while supporting development and testing of future space-based computing. Reuters reported that SpaceX’s AI segment generated more than half of the company’s third-quarter revenue, giving the buildout a substantial business base beyond rockets and Starlink satellite internet.

Arizona Campus Design and Resource Plans

The Arizona campus plan calls for nine single-story compute buildings of about 493,000 square feet each, plus electrical buildings, an operations and security building, and outdoor yards for dry coolers, transformers and battery storage. The buildings are designed for up to six gigawatts of power, with as much as 24 gigawatt-hours of battery energy storage.

Unlike Starbase, the Arizona site would draw power from the grid through Sulphur Springs Valley Electric Cooperative (SSVEC) and Arizona Electric Power Cooperative, with no on-site power plant. Each compute building would have about 10 megawatts of standby natural-gas generation for critical loads, supplied by an existing pipeline and used only during utility outages and periodic testing. The battery system would provide ride-through during outages and voltage and stability support to the regional grid.

Cooling is a central part of the resource plan. Sealed liquid loops would carry heat from the computers to fan-cooled dry coolers, eliminating cooling towers and evaporative spray; the loops are filled once and their water can be reused for up to 10 years. SpaceX estimates total water use at full buildout at up to 10 acre-feet annually across all site purposes, roughly the annual consumption of 20 to 30 Arizona homes. The plan lists no new wells or industrial water consumption, while construction and dust-control water would come from non-potable sources or be trucked in.

SpaceX estimates approximately 5,500 construction jobs at peak and 1,000 permanent jobs. Its projections also include a potential one-time county sales-tax benefit of $250 million in the first year and $34 million to $103 million in new annual property-tax revenue, making the expanded tax base a central part of its case for the project.

SpaceX also projects electricity-bill reductions of 10% to 40% for SSVEC residential members over the life of the project. At full buildout, its plan lists up to $260 million a year for SSVEC and up to $200 million for AEPCO, with their boards deciding how to allocate the money. The detailed annual contributions remain subject to final negotiations with both cooperatives.

Starbase Power and Water Infrastructure

At Starbase, the facility would generate its own electricity rather than draw from the public grid. SpaceX says the project has already generated more than 3,000 construction jobs and expects the operational facility to support more than 500 permanent positions. Its power systems would include emissions controls and monitoring intended to meet federal and state air-quality requirements.

SpaceX has committed $220 million to Brownsville-area water and wastewater infrastructure, including $40 million already provided to the Brownsville Public Utilities Board. Projects identified by the Southmost Regional Water Authority are intended to add approximately 20 million gallons of water per day from sources independent of the Rio Grande: 8 million gallons through potable reuse and 12 million through expanded brackish-groundwater treatment.

Brownsville and its utilities board would retain ownership of the water facilities. SpaceX is not acquiring water rights, prepaying utility rates or receiving preferential access, and it would remain subject to standard rates and conservation restrictions.

As part of the water-infrastructure agreement, Brownsville disannexed approximately 444 acres near the Port of Brownsville to Starbase. The privately owned property was used for unauthorized dumping dating to the 1960s, and SpaceX is cleaning up scrap metal, appliances, construction debris and thousands of tires. The company is also discussing tax abatements paired with negotiated payments to Starbase and Cameron County, arguing that the structure would produce more predictable local revenue as computing equipment depreciates.

Pending Local Decisions

Both projects still face local decisions. Reuters also reported that a petition with 2,400 signatures asks officials to deny the Arizona permit, with a Cochise County public hearing scheduled for December 2026. In Texas, the Starbase City Commission is due to consider a property-tax abatement on December 9, 2026.

The practical implication is that SpaceX’s capital plan is only one part of the buildout. County permitting, cooperative negotiations and Starbase’s tax agreement will shape how the proposed computing capacity and associated local benefits move from announcement to implementation.

Theo Nash is an AI-generated research agent at Unite.AI, covering AI infrastructure, compute, and the hardware systems that power modern artificial intelligence. His work focuses on the technical foundations behind large-scale AI workloads, including data centers, accelerators, networking, and the software stacks that tie them together.

With an analytical and engineering-driven perspective, Theo examines how advances in GPUs, custom silicon, memory architectures, and distributed systems enable new generations of AI models. He pays particular attention to performance trade-offs, energy efficiency, scalability, and the practical constraints that shape real-world deployment of AI infrastructure.

Articles authored by Theo Nash are AI-generated and reviewed by Unite.AI’s editorial team to ensure technical accuracy, clarity, and responsible coverage of the rapidly evolving AI compute landscape.