Private Credit is having a moment. What can banks learn from this?
- 1 day ago
- 5 min read
Private credit is having a moment, and not the quiet, yield-generating kind investors signed up for. Over the past few weeks, headlines have oscillated between confidence and concern. On one hand, market leaders insist risks are contained. On the other, rising defaults, redemption pressures, and AI-driven disruption are exposing structural cracks in a fast-growing market.
For banks and investors, the challenge isn’t just interpreting the headlines and deciding whether this is a genuine shift in risk or just noise. It’s also about extracting the right lessons from all this before the market does it for them.
Canary in a coal mine or storm in a teacup?
What makes the current environment so interesting is the contrast in the narrative.
On the surface, there is confidence. Large institutional leaders such as J.P. Morgan’s Jamie Dimon and Goldman Sachs’ Vivek Bantwal have been quick to emphasize that risks in private credit remain manageable, citing limited direct exposure on bank balance sheets. That confidence is rooted in structure. Private credit, now a $2–3 trillion market, largely sits outside the traditional banking system and is funded primarily by non-bank lenders. Even where banks are involved, exposures (nearly $300 billion according to Moody’s) represent only a small slice of overall corporate lending (around 9%).
But not everyone is convinced. Some observers see uncomfortable parallels with the 2008 Global Financial Crisis, pointing to rising default rates (now over 9%) and recent fraud-driven bankruptcies such as First Brands Group and Tricolor Holdings. AI-driven repricing is also weighing on the software sector, causing valuations to trend downward. As a result, software-heavy private credit portfolios have come under increasing strain, with surging redemption requests from investors. In the past year alone, major firms such as Blackstone, Blue Owl, and Apollo have collectively received over $20 billion in withdrawal requests.
Taken together, the signals suggest stress at the margins. Private credit is being tested, and, thankfully, the buffers are holding. But as ties between banks and private credit funds deepen, and the risk landscape grows more volatile, that cushion may prove thinner than it appears. If that happens, the difference won’t be exposure alone. It will be how quickly risk is seen and acted upon.
Opacity is not the only risk monitoring issue
Private credit is often described as opaque. The lack of public pricing, limited disclosures, and illiquidity all contribute to that perception. But opacity is only part of the story. The other issue is that even when data exists, it isn’t being used in a way that captures how risk actually evolves. Today, banks still monitor most private credit portfolios through a lens designed for a different era. Typically, financials are reviewed periodically, and net asset values are updated with a lag. In other words, risk assessments are tied to reporting cycles rather than real-world events. In that framework, everything can look stable until it's too late.
Recent situations make this clear. Take the case of First Brands. Non-financial red flags (multiple fraud allegations linked to its founder, an aggressive debt-funded acquisition spree, and rising customer complaints) were visible well before the company collapsed. At Byju's, another company heavily funded by private debt, governance concerns and negative sentiment accumulated in plain sight months before credit stress was formally recognized (more on that later). These are examples of delayed recognition, in which risks were either non-financial or surfaced in the gaps between reporting intervals. So, the problem isn’t just opacity, it’s also latency.
What this moment can teach banks – Forewarned is forearmed
Private credit is not breaking. But it is bending in ways that expose the limitations of how credit risk is currently monitored. The pattern isn’t new. Despite appearances, the 2008 crisis didn’t arrive overnight. Warning signs such as rising delinquencies and weakening underwriting standards were visible well before the system reacted. Some institutions, like JPMorgan Chase, recognized those signals early and reduced exposure to subprime mortgage risks, navigating the crisis more effectively than many of their peers.
The lesson here is straightforward. If banks want to avoid repeating history, early visibility can no longer be optional; it has to become a necessity.
That means shifting from periodic reviews to continuous monitoring, and from purely financial indicators to a broader set of signals that reflect how business risk actually evolves. News flows, legal filings, sentiment shifts, and operational changes are often the first indicators of stress. On their own, they may seem isolated. But together, they form a pattern. And the institutions that get ahead are the ones that include these signals in their risk calculations.
The paradoxical edge to managing private credit risks
Ironically, one of the forces reshaping private credit risks – AI – is also becoming key to managing it. Platforms like TRaiCE aggregate and analyze real-time, unstructured signals to surface early patterns of stress, in some cases months before they show up in financials.
Take Byju's. Once an edtech darling, the company today effectively carries a near-zero valuation. At its peak in 2021, it was valued at $22 billion, fuelled by an aggressive acquisition spree and rapid expansion into the US and UK.
Contrast that with what TRaiCE was signalling at the same time. Our proprietary risk index, the BSI, consistently assigned negative risk scores to Byju’s throughout 2021, with only two brief positive readings – and even those were at the lower end of the spectrum.
So why the disconnect? While the company’s reported trajectory reflected peak growth, our index captured a very different reality. It picked up a steady undercurrent of stress – rising negative sentiment across media and parent forums, increasing scrutiny around sales practices, and early signs of governance concerns. Both our Trustpilot and X-based sentiment indices reinforced this trend, highlighting deterioration well before it became visible in financials.
This gap between perceived growth and underlying risk is exactly where traditional monitoring falls short. In private credit, where visibility is already limited, that lag becomes even more dangerous. AI-led real-time risk monitoring is becoming a critical bridge here, surfacing early warning signals from unstructured data and narrowing the gap between emerging risk and its recognition.
Conclusion
Banks may not be facing an immediate systemic threat from private credit, but the current environment carries the historical hallmarks of late-cycle credit conditions and shouldn’t be ignored. The most effective approach for banks is proactive vigilance. Staying informed allows them to anticipate what’s coming, giving them time to adjust exposure, pricing, and overall strategy. In today’s market, the smartest response to moments like these is vigilance, not complacency.
