Unmasking the Hidden Threat: Private Credit’s Software Blind Spot Raises Alarming Fears in the $3 Trillion Sector
Private credit markets are grappling with new uncertainties as artificial intelligence (AI) innovations begin to disrupt major borrower segments, particularly software companies. The pressure intensified last week following the announcement from AI firm Anthropic, which launched new tools capable of performing complex professional tasks-services many software providers currently monetize. This development has triggered concerns that AI advancements may undermine traditional software business models.
The immediate fallout was evident as shares of asset managers with substantial private credit portfolios witnessed significant declines. Ares Management plummeted over 12%, Blue Owl Capital saw an 8% drop, while KKR and TPG experienced declines of nearly 10% and approximately 7%, respectively. In comparison, the broader market showed minimal movement, with the S&P 500 dipping just 0.1% and the tech-heavy Nasdaq falling by 1.8%.
Market analysts are increasingly wary about the implications of AI technology for private credit. Many software companies have become key borrowers in the private credit sector, and any turmoil in this area could impact investor portfolios. Jeffrey Hooke, a finance lecturer at Johns Hopkins Carey Business School, emphasized the potential risks, noting, “If software companies start going south, there are going to be problems in the portfolio.” According to a recent PitchBook report, enterprise software has been a favored investment area for private credit lenders since 2020, with many large loans directed towards tech firms.
Data reveals that software constitutes a significant portion of loans held by U.S. business development companies (BDCs), accounting for about 17% of investments by deal count, second only to commercial services. This exposure poses a considerable risk if AI adoption accelerates beyond what borrowers can manage. UBS Group has raised alarms that in extreme scenarios, default rates in U.S. private credit could soar to 13%, starkly higher than projected stress levels for leveraged loans (around 8%) and high-yield bonds (estimated at 4%).
While concerns over AI disruption have come to light, Hooke pointed out that challenges for private credit extend beyond this new technology. Liquidity issues and difficulties in loan extensions have plagued many private credit funds, compounding the difficulties they face. The current AI developments add another layer of complexity to a sector that investors already view with caution.
Recent statements from industry leaders underscore the unease surrounding the $3 trillion private credit market, where excessive leverage, opaque valuations, and the potential for isolated issues evolving into systemic risks have drawn scrutiny. Jamie Dimon of JPMorgan previously alerted about hidden stresses within the private credit landscape, indicating that troubles with one borrower can often imply deeper problems.
Kenny Tang, head of U.S. credit research at PitchBook LCD, noted that the impact of AI on credit risk varies among software companies, describing how those lagging in AI adoption might face greater threats. Many software entities are also notable users of payment-in-kind (PIK) loans, which permit deferred cash interest payments. While this can assist rapidly growing firms, it becomes precarious if a borrower’s financial position deteriorates, as deferred payments rapidly morph into credit issues.
Mark Zandi, chief economist at Moody Analytics, highlighted that understanding the full extent of risks within the sector remains challenging due to its opacity. He indicated that while the private credit industry can absorb losses presently, the continued growth of credit could change that outlook drastically within a year.
In contrast, Ares Management’s CEO, Michael Arougheti, claimed that the firm’s software exposure is limited, constituting only about 6% of total assets, due to their focus on profitable companies with solid cash flow. This strategy has reportedly kept problematic loans near zero. As the landscape continues to evolve, the private credit market will need to adapt quickly to mitigate the risks posed by AI advancements.
Original Source: https://www.cnbc.com/2026/02/09/private-credit-software-firms-fall-ai-fears.html
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Publish Date: 2026-02-09 12:31:00
