Off-Balance-Sheet Financing Fuels AI Datacenter Boom, Raising Debt-Bomb Concerns

Large technology companies are financing new artificial-intelligence (AI) datacenters through separate entities that are not consolidated on their balance sheets. Meta creates a distinct vehicle that raises capital from investors and banks—including some of Meta’s own affiliates—to build a datacenter that Meta will then use exclusively. The debt incurred by the vehicle remains off Meta’s books, allowing the company to expand AI-related capacity without showing the associated liabilities.

The Guardian

The practice mirrors a broader trend identified by the Financial Times in December 2025, which reported that tech firms had moved more than $120 billion of AI-datacenter spending off their balance sheets using special-purpose vehicles. Goldman Sachs projects that hyperscale cloud providers could spend $5.3 trillion on AI and datacenter construction through 2030, with private-market financing playing an increasingly central role.

The Guardian

• Off-balance-sheet spending: > $120 billion (Financial Times, Dec 2025).

The Guardian

• Projected AI-related capex: $5.3 trillion through 2030 (Goldman Sachs).

The Guardian

• North American capacity growth: 36 % increase in datacenter space last year (CBRE, H2 2025).

The Guardian

• Vacancy rate: Record low of 1.4 % across major markets (CBRE, H2 2025).

The Guardian

Companies argue that the financing structures spread the enormous capital requirements and risk among investors, while keeping the assets—land, buildings, power infrastructure, and computing equipment—transparent. The obligations of the special-purpose vehicles are disclosed to investors, and demand for computing capacity remains robust, according to industry analysts.

The Guardian

If a significant portion of the projected $5.3 trillion spend fails to generate expected returns, lenders could incur losses and some datacenters might be valued below purchase cost. Unlike failed biotech financing vehicles of earlier decades, today’s datacenters represent tangible infrastructure that does not disappear if a single project underperforms. Jeff Bezos has described AI as an “industrial bubble,” suggesting that, even if excess capacity exists, the physical assets—similar to railways or fiber-optic cables—will persist and could be repurposed.

The Guardian

The sources present consistent estimates of off-balance-sheet spending and market demand, but they do not provide detailed breakdowns of individual company liabilities or the terms of the financing vehicles. Consequently, the precise exposure of each tech firm remains unclear, leaving a gap in public understanding of potential systemic risk.

The Guardian

Industry forecasts anticipate continued acceleration of AI-related datacenter construction through 2030, with private-market investors expected to play a larger financing role. Regulatory bodies are likely to increase scrutiny of off-balance-sheet arrangements as the scale of debt grows, though specific legislative or enforcement actions have not been announced.

The Guardian