The chief economist of the Bank for International Settlements (BIS) has issued a stark warning about the burgeoning race to pour capital into artificial intelligence (AI) technologies. According to his analysis, the surge in AI‑related capital expenditures is being financed largely through opaque, off‑balance‑sheet borrowing arrangements that conceal the true level of indebtedness in the financial system. This lack of transparency, he argues, could sow the seeds of a systemic crisis if the anticipated returns on AI investments fail to materialise. In his recent remarks, the BIS official highlighted the danger of a feedback loop in which firms, eager to keep pace with competitors, commit ever‑larger sums to AI research, development, and deployment.
Much of this spending is being funded by complex financing structures—such as special purpose vehicles, securitised loans, and other forms of shadow banking—that are not fully captured in traditional debt metrics. As a result, regulators and market participants may vastly underestimate the leverage built into the AI boom. The chief economist drew historical analogies to illustrate his point. He referenced the railway mania of the 19th century, when speculative investment in rail infrastructure was financed through a maze of private bonds and unregulated financing schemes.
When the expected traffic and revenue failed to materialise, many investors were left holding worthless securities, precipitating a broader financial panic. He also pointed to the dot‑com bubble of the late 1990s, when exuberant expectations about internet‑based business models led to massive capital inflows that were often funded by venture capital and high‑risk debt.
When the bubble burst, the fallout reverberated across the banking sector and the wider economy. The BIS chief’s central thesis is that the current AI investment wave mirrors these past episodes in two key respects. First, there is a pronounced hype factor: companies and investors are convinced that AI will revolutionise productivity, create new revenue streams, and deliver outsized profits. This optimism fuels a willingness to accept higher levels of risk and to overlook traditional prudential safeguards.
Second, the financing mechanisms are increasingly opaque. Unlike conventional corporate bonds or bank loans, many AI projects are financed through private placements, convertible notes, and other instruments that do not require public disclosure of the underlying debt levels. This opacity makes it difficult for regulators to gauge the true exposure of banks and non‑bank financial institutions to AI‑related risk. The potential systemic implications are profound.
If a sizeable portion of the financial system’s capital is tied up in AI projects that ultimately underperform, lenders could face a wave of defaults. This would erode bank capital, tighten credit conditions, and potentially trigger a cascade of asset‑price declines.
Moreover, because many of these financing arrangements are cross‑border in nature, the shock could spread quickly across jurisdictions, complicating coordinated policy responses. To mitigate these risks, the BIS chief recommended several policy actions. He called for greater transparency in AI‑related financing, urging firms to disclose the full extent of debt associated with AI projects in their financial statements. He also suggested that regulators expand the scope of stress‑testing frameworks to incorporate scenarios where AI investments yield lower‑than‑expected returns, thereby assessing the resilience of banks under such conditions.
Additionally, he advocated for tighter oversight of shadow‑banking activities that channel funds into AI ventures, recommending that supervisory authorities require more robust reporting standards for special purpose vehicles and other non‑traditional financing entities. Beyond regulatory measures, the BIS official stressed the importance of prudent corporate governance. Companies embarking on AI initiatives should conduct rigorous cost‑benefit analyses, set realistic performance targets, and maintain sufficient capital buffers to absorb potential setbacks. Investors, too, should exercise due diligence, scrutinising not only the technological promise of AI solutions but also the financial structures underpinning the investments.
The warning comes at a time when AI is being hailed as a transformative force across sectors—from finance and healthcare to manufacturing and logistics. Governments worldwide are rolling out AI‑focused strategies and subsidies, and venture capital flows into AI start‑ups have reached record levels. While the potential upside is undeniable, the BIS chief’s message serves as a reminder that unchecked enthusiasm, combined with hidden debt, can create vulnerabilities that threaten the stability of the entire financial ecosystem. In summary, the BIS chief’s cautionary note underscores three fundamental points: (1) AI‑driven capital spending is accelerating faster than the underlying profitability of many projects can justify; (2) a substantial share of the financing is occurring through opaque channels that obscure true leverage; and (3) without enhanced transparency, rigorous stress testing, and stronger supervisory oversight, the AI investment boom could evolve into a systemic risk similar to past financial bubbles.
Stakeholders across the financial system—regulators, banks, corporations, and investors—are urged to heed this warning and adopt measures that balance innovation with financial stability. By drawing lessons from historical bubbles and emphasizing the need for clear, comprehensive data on AI‑related debt, the BIS chief aims to steer the market away from a repeat of past excesses.
The ultimate goal, he says, is to ensure that the AI revolution proceeds on a foundation of sound financial practices, thereby safeguarding both economic growth and the resilience of the global financial system.