The Financial Stability Board (FSB) has issued a stark warning about the burgeoning role of private credit in financing the artificial intelligence sector, highlighting the potential for significant risks as the industry expands. A recent report from the global financial watchdog underscores the fact that AI, along with healthcare and services, has emerged as a dominant borrower from private lenders, raising concerns about the long-term sustainability of such financing practices.
The Rise of Private Credit in AI
In recent years, private credit has gained traction among AI firms seeking funds for essential infrastructure, such as datacentres. The FSB’s findings reveal that the AI industry accounted for over 33% of all private credit transactions in 2025, a dramatic increase from just 17% in the previous five years. This shift signifies an escalating reliance on private financing, which operates outside the traditional banking system and is often characterised by less stringent oversight.
As AI companies ramp up their operations, the influx of capital has led to an unprecedented growth spurt. However, the FSB cautions that this concentrated focus on specific sectors could expose private credit funds to substantial risks, particularly in the face of unforeseen economic shocks.
Risks and Potential Fallout
The report warns that a sudden downturn in asset valuations—fueled by factors such as electricity supply constraints critical to datacentre operations—could precipitate considerable credit losses for private lenders. Such a scenario may arise if the market witnesses an oversupply of datacentres, leading to diminished returns as demand for AI services fails to meet inflated expectations.
Furthermore, as private credit funds have surged in popularity, they have also faced significant scrutiny. Loans facilitated by these firms are typically extended to borrowers with lower credit ratings and higher debt levels compared to those seeking traditional bank financing. This raises concerns about the overall quality of these loans and the potential for widespread defaults, particularly in an economic downturn.
The Interconnectedness of Financial Institutions
The FSB report highlights the increasing entanglement of traditional banks with the private credit sector. Many banks now find themselves exposed to private credit through direct lending to these funds or by financing risk-laden portfolios. This interconnectedness poses a challenge, as banks may lack complete information about the borrowers they are indirectly supporting, which could exacerbate the impact of corporate failures.
Recent events have illustrated the vulnerabilities inherent in this landscape. The collapse of two private credit-backed automotive companies in the US, Tricolor and First Brands, has drawn attention to the potential pitfalls of lenient lending practices. Both firms encountered fraud allegations, serving as a stark reminder of the risks that can emerge when lenders do not fully assess the viability of their borrowers.
A Cautious Path Forward
While proponents of private credit argue that these lenders can offer tailored financing solutions and better risk management, the FSB’s report serves as a crucial reminder of the potential hazards that lie ahead. The recent surge in withdrawals from private credit funds, driven by investor anxieties, has prompted some firms to impose caps on client withdrawals, reflecting growing unease within the market.
As the AI sector continues to attract investment, the lessons learned from past failures must guide future practices. It is essential for both private lenders and traditional banks to adopt more rigorous assessment procedures and enhance transparency to safeguard against the risks associated with concentrated borrowing.
Why it Matters
The implications of the FSB’s findings are profound, not only for the AI sector but for the broader financial landscape. As private credit becomes increasingly central to funding innovative technologies, understanding its risks is vital for maintaining market stability. The financial community must remain vigilant, recognising that while the potential for growth in AI is vast, the accompanying risks necessitate a cautious and informed approach to financing. The stakes are high, and the need for robust oversight has never been more critical.
