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The Financial Stability Board (FSB) has issued a cautionary report highlighting the burgeoning role of private credit in the artificial intelligence (AI) sector, warning that a sudden market correction could result in significant losses for investors. As AI firms increasingly rely on private lenders to finance critical infrastructure such as data centres, the risks associated with this lending model are becoming more pronounced, particularly within the tech, healthcare, and services industries.
Private Credit: A Growing Trend in AI Funding
According to the FSB, the private credit sector has seen a dramatic rise in demand from various industries, with AI companies alone accounting for over one-third of private credit transactions in 2025. This marks a substantial increase from just 17% over the preceding five years. Such rapid growth raises concerns about the sustainability of valuations in an industry that relies heavily on external funding for its expansive infrastructure needs.
The FSB’s report points out that a concentrated focus on specific sectors—like AI—could expose private credit funds to unique risks and vulnerabilities. This lack of diversification may heighten their susceptibility to industry-specific shocks, particularly if the anticipated demand for AI technology does not materialise at the projected levels.
Risks of Overexposure to the AI Sector
One of the major risks flagged in the report is the potential for a sharp decline in asset valuations. The FSB warns that if the supply of electricity—a vital resource for the construction and operation of data centres—experiences a significant shortfall, it could lead to project delays or cancellations, further impacting investor returns. Additionally, the potential for an oversupply of data centres could result in a market saturated beyond demand, leaving many investors disappointed.
The FSB’s analysis comes at a time when private credit firms, which are not subject to the same stringent regulations as traditional banks, are experiencing a surge in withdrawals. This has led some funds to implement caps on client withdrawals, signalling growing anxiety among investors regarding the stability of these credit arrangements.
A Cautionary Tale of Corporate Failures
The report also draws attention to notable failures within the private credit sector, citing the collapse of two US automotive companies, Tricolor and First Brands, both backed by private credit. These incidents have raised serious questions about the due diligence practices of private lenders, particularly as both companies now face fraud allegations. The repercussions of their failures have reverberated through the banking sector, with institutions like JP Morgan and Barclays reporting losses linked to these collapses.
The FSB emphasises that the interconnectedness of banks and private credit firms has created an intricate web of risk exposure. Recent corporate bankruptcies illustrate the potential pitfalls of lending in an environment where lenders may not have complete visibility into the financial health of their borrowers.
The Role of Traditional Banks in Private Credit
As the lines between traditional banking and private credit continue to blur, the FSB notes that banks are increasingly involved in private lending, either by financing riskier portfolios or partnering with asset managers. This trend exposes traditional banks to the opaque nature of private credit, which can leave them vulnerable to unexpected financial fallout, as evidenced by the recent corporate failures.
The FSB’s report serves as a crucial reminder of the need for greater transparency and risk assessment in the private credit space. As private lenders step into roles traditionally occupied by banks, ensuring prudent lending practices will be paramount to safeguarding investors’ interests.
Why it Matters
The insights from the Financial Stability Board underscore the delicate balance between innovation and risk in the rapidly evolving landscape of AI funding. As private credit becomes an increasingly popular avenue for financing, understanding the inherent risks is essential for investors and stakeholders alike. A potential market correction could not only impact the AI sector but also ripple through the broader financial ecosystem, making this a critical issue for anyone involved in the future of technology and finance.
