SpaceX announced that it had borrowed $40 billion to finance the purchase of graphics processors for its artificial intelligence operations. The terms of the financing, which remain unknown, are intended to support an increase in its computing capacity and the development of its data centers. It is part of a broader strategy aimed at making the aerospace company a major player in AI, although no acquisition of another company has been announced at this stage.
Elon Musk said on the social network X that SpaceX had taken on $40 billion in debt. In response to an investor, he clarified that the funds would primarily be used to buy GPUs, graphics processors particularly well suited to the computations required for artificial intelligence. The deliveries are expected during the first two quarters of 2027.
The term “acquisition” here refers to the computer equipment and computing capacity SpaceX is seeking to obtain, not to an announced takeover of another company. Musk did not specify the loan’s term, interest rate, or repayment terms. In the absence of this information, it remains difficult to assess the total cost of the operation and its impact on the group’s finances.
Debt intended to accelerate chip purchases
GPUs are at the heart of the infrastructure used to train and run many AI models. Buying them in large quantities makes it possible to increase available computing resources, but requires substantial and ongoing investment. For SpaceX, the announced financing is therefore intended to help scale up its computing facilities, alongside its long-standing activities in the space sector.
When presenting its results, the company said it expected to invest between $35 billion and $40 billion in the final quarter of 2026, roughly twice as much as in the previous quarter. The announced borrowing for GPU deliveries in early 2027 indicates that spending on equipment is expected to continue beyond that period.
This growth is taking place against a backdrop of rapidly rising demand for AI infrastructure. Investments in data centers, chips, and computing services are playing an increasingly prominent role in the strategies of major technology companies. This trend is discussed in the analysis on major U.S. companies positioned to benefit from the expansion of artificial intelligence.
Data centers at the heart of SpaceX’s strategy
SpaceX is developing a cloud infrastructure designed to provide computing resources for AI. The projects mentioned include the expansion of Colossus II, a large data center located near the border between Mississippi and Tennessee. The purchase of the new GPUs is intended to strengthen this type of facility and increase the amount of computing capacity the company can offer.
The group has also begun leasing some of its capacity to outside customers. This decision, made in the spring, notably involved Anthropic. Providing computing resources represents a new source of revenue for SpaceX, beyond its contracts and operations related to launch vehicles and satellites.
According to information released with its results, SpaceX recorded its first net profit in the third quarter of 2026. Leasing data center capacity contributed to this performance. The development of AI infrastructure therefore appears both as a major expense and as an activity with the potential to generate commercial revenue.
A merger with xAI broadens its scope
SpaceX merged with xAI at the beginning of 2026. The deal brought the group’s aerospace activities closer to the artificial intelligence projects associated with Elon Musk. This gives the company a broader framework for developing its equipment, computing services, and AI-related applications.
Elon Musk has also raised the idea of turning SpaceX into an even broader collection of businesses, with the possible integration of Tesla, the automaker he leads. This prospect is separate from the $40 billion borrowing: the available information directly links the financing to the purchase of GPUs, not to financing a merger with Tesla.
The billionaire’s projects are also unfolding in a financial environment where the boundaries between technology, markets, and digital infrastructure are shifting. Discussions around tokenized securities and the use of blockchain illustrate this transformation, as discussed in the article on the record in tokenized stock trading or the article on the role of blockchain in the evolution of financial markets.
A major financing deal whose terms remain unknown
The announced amount gives an indication of the scale of SpaceX’s needs, but is not enough on its own to measure the risk associated with the operation. The interest rate, repayment schedule, any collateral, and the lenders have not been publicly disclosed. These details will be crucial to understanding the impact of this debt on the company’s accounts and its ability to finance other projects at the same time.
Companies investing heavily in AI have to balance spending on hardware and operating data centers against finding customers capable of making these facilities profitable. Leasing capacity to companies such as Anthropic offers a potential source of revenue, but its growth will depend on demand, pricing, and the costs of energy and facility maintenance.
Elon Musk’s prominent role in debates about artificial intelligence has also drawn considerable political and media attention. His public interventions and influence are regularly the subject of controversy, particularly in Europe, as described in this article on the criticism surrounding his influence and participation in an AI summit. Other analyses examine more broadly how his public statements shape perceptions of reality, as in this overview of David Chavalarias’s analyses of Elon Musk.
An industrial ambition that extends beyond chips
The investment in GPUs adds to spending on the development of computing infrastructure and the expansion of Colossus II. The strategy is to bring together equipment, data centers, and services capable of supporting AI activities, while drawing on SpaceX’s financial and technological resources.
The success of this expansion will depend in particular on chip availability, the commissioning of facilities, and the ability to attract external customers. The deliveries planned for the first and second quarters of 2027 are an important milestone in this timeline. Until then, the precise financing terms and the pace of announced investments will remain central to assessing the scale of SpaceX’s commitment to artificial intelligence.
