The head of the Bank for International Settlements (BIS) has issued a stark warning about the rapid acceleration of capital expenditures in artificial intelligence (AI) across the global economy. According to the BIS chief, the current surge in AI‑related investment is being financed largely through opaque forms of debt, a practice that could sow the seeds of systemic instability if left unchecked. In his recent address, the BIS governor highlighted that the enthusiasm surrounding AI technologies—ranging from large‑scale language models to autonomous systems—has prompted corporations, venture capitalists, and even sovereign wealth funds to pour unprecedented sums into research, development, and deployment. While such spending promises transformative productivity gains and new revenue streams, the financing mechanisms behind it are often shrouded in complexity.
Many firms are turning to off‑balance‑sheet vehicles, special purpose entities, and hybrid debt instruments that lack transparency, making it difficult for regulators, investors, and auditors to gauge the true level of leverage embedded in the AI boom. The chief drew a parallel with two historic episodes of speculative excess: the railway mania of the 19th century and the dot‑com bubble of the late 1990s. In both cases, the allure of a revolutionary technology spurred massive capital inflows that outpaced realistic assessments of profitability.
During the railway era, investors financed sprawling networks with little regard for the actual demand for transport, often relying on poorly understood financing structures that later proved unsustainable. Similarly, the dot‑com era saw a flood of venture capital and public market money chase startups that lacked viable business models, many of which were supported by debt that was later written off when the bubble burst.
The BIS official warned that the AI investment wave bears striking resemblance to those past bubbles, but with a crucial twist: the financial instruments now in play are more sophisticated and less visible. "What we are observing is a capital‑intensive race where the underlying debt is often hidden behind layers of securitisation, convertible notes, and private placements," he said. "When the true cost of this financing becomes apparent, it could trigger a cascade of defaults that reverberate across the financial system." To illustrate the potential magnitude of the risk, the governor cited recent data showing that global AI‑related capex has grown at an annualised rate of over 40% in the past two years, dwarfing traditional tech spending. Yet, a significant portion of this growth is being funded by corporate bonds issued with limited disclosure requirements, as well as by private credit funds that operate with minimal regulatory oversight.
The lack of standardized reporting means that the aggregate debt exposure tied to AI projects is difficult to quantify, leaving policymakers blind to the buildup of systemic leverage. The BIS chief also emphasized that the problem is not merely one of quantity but of quality. Many AI initiatives are still in experimental stages, with uncertain paths to commercial viability.
Companies may overestimate the speed at which AI can be monetised, leading to optimistic revenue forecasts that justify aggressive borrowing. If those forecasts prove overly rosy, firms could find themselves unable to service their debt, prompting restructurings that could spread to counterparties and lenders. In response to these concerns, the BIS governor called for a coordinated international effort to enhance transparency in AI financing.
He suggested that regulators should require more detailed disclosures about the purpose of AI‑related borrowing, the expected cash‑flow generation, and the risk mitigation strategies in place. Moreover, he advocated for the development of a common taxonomy for AI investments, enabling comparability across jurisdictions and sectors.
The speech also touched on the broader macro‑economic implications. A sudden contraction in AI spending, triggered by a debt shock, could have a ripple effect on productivity growth estimates, employment in high‑skill sectors, and the pace of digital transformation. Central banks, he warned, need to monitor not only traditional credit metrics but also the emerging patterns of AI‑driven leverage, as they may become an early indicator of financial stress. Critics might argue that imposing stricter reporting could stifle innovation, but the BIS chief countered that well‑designed transparency measures can actually support sustainable growth.
By providing investors and lenders with clearer insight into the real risk profile of AI projects, markets can allocate capital more efficiently, rewarding truly promising ventures while discouraging speculative excess. In concluding his remarks, the governor urged policymakers to learn from the lessons of the railway and dot‑com eras: avoid the temptation to fund hype with hidden debt, and instead build a financing ecosystem that balances ambition with prudence. He called on governments, supervisory bodies, and industry leaders to collaborate on establishing standards that make AI financing as robust and resilient as the technologies it seeks to advance.
The overarching message is clear: while artificial intelligence holds the potential to reshape economies and societies, the way it is financed must be transparent, disciplined, and grounded in realistic expectations. Failure to address the opacity of AI‑related debt could not only jeopardise individual firms but also threaten the stability of the global financial system, echoing the painful corrections witnessed in past technological booms.