Robin Wigglesworth, editor at the Financial Times and author of the upcoming book A Fabulous Debt: The Epic Story of How Bonds Built the Modern World, presents an analysis concerning the growing influence of debt in the realm of artificial intelligence (AI). Although the headline-grabbing financial feats of companies like Nvidia, Elon Musk’s SpaceX, and the anticipated initial public offerings of Anthropic and OpenAI dominate discussions, the AI story is increasingly about debt rather than stock market achievements. This shift should cause concern, as credit-fueled manias often end unfavorably.
The Worries of AI and Debt
The current discourse is inundated with predictions of either transformative economic benefits or catastrophic job losses due to AI. However, the true impact of AI remains uncertain due to its novel nature. Historical precedents such as the delayed recognition of the computer age’s impact on economic data highlight this uncertainty.
Yet, history does provide insights into debt-driven booms. The enthusiasm for railways in the 19th century, the telecommunications revolution of the 20th century, and the early 21st-century housing boom all led to economic downturns, despite the transformative nature of the technologies involved.
Why AI Leans on Debt
The reliance on debt in AI investments lies in the magnitude of resources required. In the past, tech giants like Facebook and Google funded data center and infrastructure investments with cash flows. However, AI requires massive computing power, necessitating substantial investment. This scale compels leading tech companies, identified as ‘hyperscalers,’ to resort to loans, bonds, and other financial commitments to fund their ambitions.
The Scale of AI’s Debt Binge
Even industry insiders are taken aback by the extent of this debt surge. A Barclays report from an AI data center conference included phrases like “enjoy the ride on a rocket without seatbelts” to describe the volatile market. Morgan Stanley reported that American AI companies raised $217 billion in debt last year. By mid-August 2026, they had more than doubled that amount, issuing $445 billion in debt, with projections suggesting nearly $600 billion by the end of the year. To put it into perspective, this figure surpasses the combined budgets for the U.S. Departments of Justice, Transportation, and Education in 2026.
Such a dramatic increase in AI-related debt carries significant implications for the economy. If historical patterns hold, this debt-fueled investment spree could lead to adverse economic outcomes even if AI technologies prove to be groundbreaking in the long run.
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