The money-burning war escalates: SpaceXAI’s single-quarter capital expenditure reached US$18.3 billion, and its AI investment is close to 40% of Microsoft’s. In the current aggressive artificial intelligence infrastructure arms race, the financial report data of another giant has triggered heightened market scrutiny.

The money-burning war escalates: SpaceXAI’s single-quarter capital expenditure reached 18.3 billion U.S. dollars, and its AI investment is close to 40% of Microsoft’s. In the current aggressive artificial intelligence infrastructure arms race, the financial report data of another giant has triggered heightened market scrutiny. According to the latest analysis and second-quarter performance report disclosed by venture capitalist Tomer Tunguz blog (VC Analysis), SpaceXAI’s total capital expenditures surged to $18.37 billion in the last quarter. Among them, the vast majority of funds were directly used in the field of AI, amounting to US$15.83 billion. This single investment has approached 40% of Microsoft's total capital expenditures during the same period. Compared with traditional technology giants such as Amazon, Alphabet, Microsoft, and Meta, SpaceXAI’s rate of capital consumption is particularly eye-catching. However, the sources of funds supporting the huge expenditures present a completely different picture. Data shows that Microsoft and Meta mainly rely on abundant operating cash flow to cover capital expenditures, with their capital expenditure coverage rates reaching 155% and 106% respectively; while SpaceXAI's operating cash flow can only cover 12% of capital expenditures, and huge investments are highly dependent on external debt and equity financing support. This high cash-burning model and relatively fragile cash flow situation have also begun to have a chain reaction in the capital market. Since hitting its stock price peak in mid-June this year, SpaceXAI's stock price has experienced a sharp correction, not only falling below the IPO issue price of $135, but also almost halving from the peak. At the same time, many of its previously issued large-scale bonds also fell below their face value in the secondary market, reflecting the credit market's hidden concerns about the company's long-term solvency and high capital costs. Although rapid progress has been made in the research and development of underlying computing power and large models - for example, the Grok4.5 model has been successfully trained and demonstrated strong industry competitiveness, in the face of continued high capital expenditures, how to accelerate the commercialization of AI business and get through the closed loop of financial self-sufficiency has become the most severe practical test facing SpaceXAI. via AI News (author: AI Base)