SpaceX Acquires xAI to Build Solar-Powered Orbital AI Data Center

SpaceX has acquired xAI to consolidate aerospace engineering with AI research into a single entity valued at US$1.25 trillion. This merger aims to facilitate the deployment of orbital data centers to bypass terrestrial power limitations, scaling compute capacity through the Starship launch system.

The merger, as both companies say in a press release, addresses a critical bottleneck in the global technology infrastructure: the diminishing capacity of terrestrial power grids to support the exponential growth of large-scale AI models. Elon Musk, CEO, SpaceX, says the global demand for electricity to power AI cannot be met with ground-based solutions without imposing hardships on communities and the environment.

"In the long term, space-based AI is obviously the only way to scale," says Musk. "The only logical solution therefore is to transport these resource-intensive efforts to a location with vast power and space."

This transition will allow xAI to utilize the constant solar energy available in orbit, reducing the operational costs associated with terrestrial cooling and power procurement. By integrating these two entities, the corporation creates a closed-loop system where aerospace hardware is optimized specifically for high-density compute payloads.

The acquisition of xAI by SpaceX represents a restructuring of the private technology sector. According to CNBC, the combined entity is now the most valuable private company in the world. Before this merger, SpaceX was valued at about US$800 billion, while xAI recently secured US$20 billion in funding to reach a value of US$230 billion. After this, SpaceX has agreed to a valuation of US$1.25 trillion.

Terrestrial data centers face increasing scrutiny due to their immense consumption of electricity and water for thermal management. In previous years, the growth of AI has been dependent on ground-based facilities that are subject to local utility constraints and regulatory oversight. Orbital infrastructure would theoretically eliminate these barriers by utilizing near-constant solar radiation.

This is not the first instance where Musk has consolidated his business holdings to drive a singular long-term vision. Previous examples include the acquisition of SolarCity by Tesla and the integration of the social media platform X with xAI. By bringing xAI under SpaceX control, the organization can leverage the Starlink satellite network and the upcoming Starship launch vehicle to create a global compute fabric.

The financial implications of this merger are substantial. The deal increased the personal net worth of Musk by US$84 billion, bringing his total fortune to US$852 billion, reports Forbes. He holds a 43% stake in the newly formed entity, which is estimated to be worth US$542 billion. This restructuring also positions the company for a potential initial public offering in mid-2026.

Technical Details and Implementation

The success of orbital data centers depends on the flight rate and payload capacity of the Starship launch vehicle. In 2025, the industry saw about 3,000t of payload launched into orbit, the majority of which consisted of Starlink satellites. However, the requirements for space-based AI demand a significant increase in mass delivery.

SpaceX plans to use the Starship V3 vehicle to deliver more powerful satellites to orbit. Each V3 launch provides more than 20 times the capacity of Falcon launches carrying V2 Starlink satellites. The company aims to achieve a launch frequency of one flight every hour, with each flight carrying 200t of payload.

This operational cadence would allow the delivery of millions of tons to orbit annually. The basic calculation provided by the company suggests that launching 1 million t per year of satellites, with each ton generating 100kW of compute power, would add 100GW of capacity to the global AI compute pool. There is a projected path to reach a launch rate of 1TW of capacity per year from the Earth.

Orbital data centers offer several strategic advantages over terrestrial facilities, including optimized energy procurement, specialized thermal management, and reduced operational costs. Satellites harness solar power with nearly 100% duty cycles by avoiding the atmospheric attenuation and day-night cycles that typically limit ground-based arrays. 

Additionally, the vacuum of space provides a unique environment for heat dissipation through large-scale radiator systems designed to manage high-performance processor thermal output. Following deployment, these orbital nodes incur minimal maintenance costs as they remain unaffected by terrestrial weather events, physical security requirements, and ground-level environmental hazards.

The long-term roadmap for the combined entity extends beyond Earth orbit. SpaceX intends to use the in-space propellant transfer capabilities of Starship to land massive amounts of cargo on the Moon. Establishing a permanent presence on the lunar surface enables the manufacturing of hardware using local resources.

By employing an electromagnetic mass driver on the Moon, SpaceX could launch 500TW to 1,000TW of AI satellites into deep space per year. This strategy is designed to move human civilization toward a Kardashev II level, which is defined by the ability to harness the total energy output of a star. The compute capacity generated by these deep-space clusters would support advanced research in physics and the invention of new technologies.

Market Reaction and Future Projections

This merger signals a shift in how compute power is commoditized. Enterprises that rely on large-scale data processing may eventually lease compute cycles from orbital clusters rather than terrestrial clouds. This could reduce the carbon footprint of corporations that are dependent on fossil-fuel-heavy power grids.

Market reactions have been varied. Some analysts view the merger as a bold integration of space and AI innovation that reduces redundancies. Others express concerns regarding governance and the blurring of industry boundaries. Concentrated ownership of such transformative technologies raises questions about the balance between private control and public interest, especially as these systems become integral to national security and global communications.

Within the next two to three years, the organization estimates that space-based compute will become the most cost-efficient method for training and running AI models. This efficiency will enable companies to process data at unprecedented speeds. 

SpaceX continues to refine its launch services for the US Department of Defense and NASA, ensuring that the development of its private compute infrastructure does not interfere with its existing contractual obligations. The Falcon 9 rocket remains the most active vehicle in the world, providing a stable foundation for the company while the Starship program undergoes iterative testing.