The Private Credit Bust (What I'm Watching in 2026)

 An investor reviewing credit risk at home.

When people hear "credit bust," they jump straight to 2008. I'm not there. Not yet. But I do think private credit is flashing early warning signs that investors shouldn't ignore.

I'm looking at this through the lens of Patriot Press, which frames today's stress as the first phase of a wider shift in risk appetite. Private credit, in one sentence, is company lending done by non-bank lenders, outside traditional bank loans.

The story starts with loan books that are heavy in software, right as AI pressure hits margins. The bigger risk, though, is how losses can spread through borrowed money, bank ties, and liquidity promises that look fine, until they don't.

Private credit, in simple terms, and why it got so big after 2008

 Private credit paperwork and "steady" growth optics.

After the 2008 crisis, regulators pushed banks to tighten lending standards. Rules like Dodd-Frank and Basel reforms raised the cost of risky loans. Banks pulled back from many middle-market borrowers, especially sponsor-backed deals.

That gap didn't stay empty. Asset managers, BDCs, and other non-bank lenders stepped in. That's the core of private credit: loans negotiated in private, often held to maturity, with limited public trading.

How big is it now? It depends on what you count. Some trackers focus on "direct lending." Others include a broader set of private and non-bank credit.

Here's the clean way I keep it straight:

Measure (early 2026)	What it usually includes	Rough size range
US direct lending	Middle-market private loans, often sponsor-backed	About $1T
US private credit (broader)	Direct lending plus adjacent private credit buckets	Roughly $1T to $1.3T (some frameworks go higher)
Global private credit	Global private lending markets	About $1.5T to $3T

Patriot Press cites a broader, "all-in" view that puts US private credit near $3T and up about 50% from 2020 to 2025. Meanwhile, other public estimates come in lower because they use narrower definitions. Either way, the direction is the point: it grew fast, and it grew while rates rose.

Investors liked private credit for three simple reasons:

• It often paid higher yields than public bonds.
• Many deals had floating rates, so coupons rose as rates rose.
• Returns looked smooth, because prices don't re-mark every second like stocks.

That last one matters, because "smooth" can also mean "hard to price."

The tradeoff investors made, higher yield today, less liquidity tomorrow

 Liquidity tradeoffs, like selling a stock versus selling a house.

When I explain private credit risk to friends, I use a basic analogy: selling a stock versus selling a house.

If I own a large stock, I can usually sell it in seconds. The market price might sting, but it's visible. A house sale is different. It takes time, paperwork, and negotiation. When buyers vanish, the "value" becomes theoretical.

Private credit is closer to the house. Many funds report stable values because nothing trades. That can feel comforting, until the fund needs cash.

The real test comes when investors request redemptions, or when lenders to the fund tighten terms. At that moment, managers may have to sell loans in a secondary market that can be thin. Prices can gap down fast, not because the loans changed overnight, but because the buyer pool shrank.

That's why I treat liquidity terms as a core risk factor, not a footnote.

The fault line, too much private credit tied to software just as AI reshapes the industry

 AI-driven software disruption and its ripple effects.

The most important detail in the Patriot Press thesis is concentration. It argues that about 40% of sponsor-backed private credit loans sit in the software sector. If that's even close, it's a big deal, because software is not acting like a defensive sector right now.

AI puts pressure on software in a few blunt ways:

Pricing power weakens when customers expect automation features for free. Churn rises when switching costs fall. New AI-native tools can erode old product categories. At the same time, many software firms carry high fixed costs, and growth plans built for a different world.

When revenue growth slows, credit metrics can worsen quickly, because interest expense doesn't care about your product roadmap.

Patriot Press also points to market stress as a feedback loop. When public software valuations fall, funding terms often tighten across the private side too. That matters for sponsor-backed firms that expected easy refinancing.

A common reference point floating around the market is a "mid-teens" default risk in stressed pockets (for example, an estimate Patriot Press attributes to UBS, around 15%). I don't treat that as destiny. Still, it's a useful yardstick: outcomes can land better if growth stabilizes, or worse if refinancing shuts.

What defaults look like in real life, covenant pressure, cash burn, and refinancing walls

Defaults don't arrive with sirens. They show up as ordinary business updates that turn into credit problems.

First, bookings slow and sales cycles stretch. Then net revenue retention dips. Next, the CFO starts cutting spend, which can slow growth further. Meanwhile, interest costs stay high, especially on floating-rate loans.

Eventually, the company hits the refinancing wall. That's when a "fine" borrower becomes a distressed borrower. If the lender group thinks recoveries may be lower, they push for tighter terms, more collateral, or higher pricing.

One nuance matters for investors: headline default rates can understate stress. Lenders often "amend and extend," which keeps a loan out of default while the borrower pays a price in fees, tighter covenants, or more collateral. That can buy time, but it can also mask deterioration until it can't be masked.

In other words, I don't just watch defaults. I watch the trend in restructurings and the tone of earnings calls in software-heavy lenders.

How the pain spreads, the borrowing stack that can turn a contained problem into contagion

Private credit sounds insulated because it sits "off exchange." In practice, it plugs into the rest of the system through funding and counterparties.

Patriot Press argues banks aren't isolated because they lend to non-bank financial institutions, often called NDFIs. It estimates NDFI loans are about 14% of bank loan portfolios heading into 2026, with the largest banks carrying the biggest share. If those numbers are even directionally right, banks have a real link to this ecosystem.

The other link is the way private credit funds finance themselves. These tools aren't automatically bad, but they can amplify losses when asset values slip:

• Back-leverage through SPVs: A fund originates loans, then borrows against them in a special vehicle. If loan values fall, the borrowing base shrinks and forced selling can follow.
• NAV loans: Borrowing secured by the fund's portfolio value. If NAV drops, the lender may demand repayment or a restructure at the worst time.
• Subscription lines: Short-term borrowing against investor commitments. These can smooth cash needs, but they still add timing risk.
• PIK interest (payment-in-kind): Borrowers "pay" interest by adding debt instead of cash. That helps them survive today, while raising the payoff burden later.

Rating agencies have started to speak more openly about these pathways. In Patriot Press notes, Moody's flags private credit stress as a possible contagion source through banks, insurers, and hybrid funds. Fitch, in the same notes, calls out big "tests" for credit in 2026, including the risk of an AI-related valuation reset.

When private assets meet daily liquidity promises and borrowed funding, the weak point is usually the same: cash demand arrives before assets can be sold calmly.

The red flag behaviors I watch, PIK interest, forced selling, and redemption gates

I don't need a dramatic headline to take risk seriously. I watch behaviors that signal strain under the surface.

Rising PIK usage is one. When more borrowers pay interest with more debt, it often means cash coverage got tight. Some PIK is strategic. Too much PIK feels like a pressure valve.

Next, I track secondary sales. If a lender sells a big loan pool at a discount to par, that's a real price discovery moment. Patriot Press cites one example of a lender selling hundreds of millions in loans in the mid-90s cents on the dollar range. That's not a collapse, but it is a haircut, and it sets a reference point.

Finally, I pay attention to gates and redemption limits. Patriot Press highlights a case where a large manager restricted withdrawals and sold a sizable block of assets to raise cash. Again, that doesn't prove the whole market is broken. It does show that liquidity can vanish quickly when many investors reach for the door at once.

Those are early-phase signals. They tell me stress is moving from spreadsheets to behavior.

What this could mean for markets and my portfolio, practical steps for investors in 2026

Even if private credit isn't large enough by itself to recreate 2008, it can still change the market's mood. Credit is confidence. When confidence drops, spreads widen, lenders tighten terms, and weaker borrowers lose options.

Patriot Press points to market pricing that fits this story: financial stocks have lagged, even while the broad index held up. In its framing, the financial sector ETF (XLF) is down more than 4% year to date, while the S&P 500 proxy (SPY) is up about 1%. It also flags large banks like JPMorgan and Bank of America down around 5% in the same window.

I don't treat any single price move as proof. Still, relative weakness in financials often shows up when the market starts worrying about credit.

The bigger chain risk, in the Patriot Press view, looks like this: AI disruption starts in software, then moves outward. If job losses rise, consumer credit can crack. If unemployment jumps, housing can become a second wave problem. That's the path to a broader credit crunch.

So what do I do with this in my own process?

I focus on questions that reduce surprise:

I ask how much of a credit fund is tied to sponsor-backed software. I ask how often loans get revalued, and whether there's an active secondary market. I ask what lines of credit sit above me in the capital stack. I also stress test for wider spreads and slower exits.

Most importantly, I keep my personal rule: illiquid assets only belong in the part of my portfolio I can truly leave alone.

If I can't explain where the cash comes from during stress, I assume it comes from me, at the worst possible time.

A quick due diligence checklist I use before I touch any private credit product

I keep this short on purpose, because long checklists can turn into theater. These are the items I won't skip:

• Liquidity terms: Lockups, notice periods, gates, and side pockets, plus what triggers them.
• Borrowing at the fund level: Any NAV facility, SPV borrowing, or other financing tied to portfolio values.
• Concentration: Exposure to software, sponsor-backed deals, and any single large borrower.
• PIK and non-cash income: How much "yield" comes from cash interest versus added debt.
• Vintage and rate assumptions: When the loans were made, and what happens if base rates fall or stay high.
• Valuation policy: Who marks the loans, how often, and what comparable data they use.
• Secondary options: Whether I can sell my interest, and what discounts typically look like.
• Drawdown playbook: What the manager did in past stress, and what they say they'll do next time.

If a manager can't answer these clearly, I move on.

Conclusion

Private credit stress looks real to me, even if it's not a full-system event yet. The mix that worries me is software concentration, AI-driven margin pressure, and hidden borrowing that can force selling. Add in the bank and insurer connections, and "isolated" starts to feel optimistic. The classic weak point is still liquidity, because calm exits vanish during crowd exits. For 2026, I'm staying practical: I'm reviewing exposures, asking better questions, and planning for wider spreads and tighter credit, with Patriot Press as one useful lens for staying alert without panicking.