Private Credit Concerns in Context

Episode Summary

Executive Summary: The episode examines the sharp sentiment reversal in private credit, arguing that while AI disruption, opaque underwriting, and retail liquidity stress are real concerns, the broader asset class remains fundamentally resilient. Guests say risks are concentrated in specific pockets—especially retail vehicles and certain software/ARR loans—while institutional direct lending still looks supported by strong credit cushions, manageable losses, and improving opportunities for disciplined capital providers.

Main Topics: Private credit’s sentiment shift and core risks (Priority: 5/5): Alex Blostein frames the current bearish narrative around rapid asset growth, opacity, underwriting concerns, and liquidity stress in retail products. He emphasizes that the market is dealing with three issues: credit quality, liquidity, and the asset class’s opacity. AI disruption and software exposure (Priority: 5/5): Both guests discuss how AI could pressure software borrowers, but they stress dispersion: some software companies may be vulnerable, while others with proprietary data, system-of-record status, or regulatory importance may be insulated. Retail redemptions and liquidity management (Priority: 5/5): The discussion highlights that redemption pressure is concentrated in retail evergreen funds, where managers can cap withdrawals. The guests argue this is unlikely to trigger broad fire sales because most assets are institutional and funds have liquidity buffers. Institutional direct lending outlook (Priority: 4/5): Despite retail stress, institutional private credit is portrayed as more attractive going forward because spreads may widen, terms may improve, and future vintages could offer better risk-adjusted returns. Illiquidity premium and investor education (Priority: 4/5): Vivek Bontwal argues investors must understand private credit is truly illiquid, not semi-liquid. The illiquidity premium is presented as a real source of return for investors who can commit long-term capital. Systemic risk debate (Priority: 4/5): Both speakers push back on the idea that private credit poses immediate systemic risk. They argue losses are likely manageable at the system level, though individual funds and borrowers may face meaningful stress. Opportunities in adjacent credit strategies (Priority: 3/5): Alex notes that stress in direct lending may create openings in special situations, restructuring, mezzanine, and opportunistic credit, where capital is needed to refinance or support challenged companies.

Key Arguments: Private credit has grown rapidly and remains relatively opaque, which makes headlines and investor anxiety more intense, but opacity alone does not imply systemic fragility. AI is a real underwriting issue for software borrowers, yet credit investors are protected by leverage cushions and should evaluate each company’s data ownership, customer stickiness, and mission-criticality. Current portfolio stress appears limited: non-accruals and payment-in-kind activity have not broadly deteriorated, suggesting fundamentals are still holding up. Retail outflows are the main liquidity risk because institutional funds generally lack redemption mechanics; however, redemption caps, liquid holdings, maturities, and credit facilities should reduce the chance of forced fire sales. The retail channel’s growth story is being re-rated, but institutional private credit may benefit from less competition and wider spreads as retail money exits. Private credit should be viewed as illiquid capital with a 150-300 bps premium, not as a semi-liquid product; investors who need near-term access to cash may be misallocated. Systemic risk is overstated because losses would likely be concentrated in specific funds or borrowers rather than the broader financial system, especially given subordination and seniority in the capital structure. Certain pockets, especially ARR-based software loans and other revenue-multiple structures, deserve caution because AI could prevent some borrowers from ever reaching cash flow. Market dislocation may create opportunities for disciplined managers and bottom-up stock pickers, especially those with institutional capital and durable earnings growth.

Data Points: Private credit market size: About $3.5 trillion+ - Alex estimates the overall private credit asset class has grown to this scale. Private credit growth rate: ~15% per year - Alex says the asset class has expanded at roughly this pace over the last five-plus years. Direct lending size: About $1.6-$1.7 trillion - Alex says the direct lending segment makes up this portion of private credit. Software exposure in direct lending: Roughly 25% - Alex estimates software represents about a quarter of direct lending exposure. Loan-to-value (LTV): Around 30%-40% - Alex says current LTVs imply substantial cushion beneath loans. Public market software drawdown: ~30% down on average - Vivek says public software equities are down around this amount, with dispersion by name. Publicly traded single-B software credit move: Down about 9.5 points - Vivek cites average price declines in public credit for single-B names. Publicly traded double-B software credit move: Down about 2.5 points - Vivek cites average price declines in public credit for double-B names. Retail share of direct lending assets: Less than 20% - Alex says retail vehicles are a minority of direct lending assets. Retail growth sales run rate: ~50% lower - Alex says retail sales are running at about half the 2025 pace. Retail redemptions: ~10% annualized in Q1 - Alex says average first-quarter redemptions are running at this rate. Redemption cap: 5% - Alex notes managers can cap redemptions at this level. Retail NAV in vehicles: $230 billion - Alex estimates the amount of NAV sitting in retail private credit vehicles. Industry outflow need: $50-$70 billion net outflows - Alex estimates the industry may need to fund this amount of withdrawals. Liquid holdings available: $40-$45 billion - Alex says retail vehicles hold this amount in liquid assets. Global financial crisis default rate: 10% - Alex cites this as the cumulative default rate across leveraged lending in the GFC. Global financial crisis recoveries: 50% - Alex says recoveries were about half, implying roughly 5-6 points of cumulative loss. Private credit coupon: 9%-10% - Alex says loans still pay this level of coupon, helping absorb losses. Institutional spread premium: 150-300 bps - Vivek says this is the illiquidity premium private credit can offer over public credit. Top 20 BDC non-accrual rate: 1.54% - Vivek cites this as current non-accrual data for the top 20 BDCs. GS public non-accrual rate: 12 bps - Vivek says Goldman’s last publicly released non-accrual rate was this low. Broadly syndicated loan default rate: 1.3% - Vivek cites current default data for broadly syndicated loans. Broadly syndicated loans incl. liability management exercises: ~4%+ - Vivek says adding LME effects raises the effective distress measure to this range. Potential draconian default scenario: 15% - Vivek references a research scenario for private credit defaults in a severe downturn. Potential recovery in severe scenario: 50% - Vivek uses this recovery assumption to illustrate possible losses. Illustrative loss in severe scenario: 7.5 points - Vivek calculates losses from a 15% default rate and 50% recovery assumption. Typical BDC returns: ~10% - Vivek says BDCs have generally delivered around this level of returns to date.

Pivotal Quotes: "credit is credit, it's not equity" — Alex Blostein: Used to explain why private credit has downside protection from subordination and loan structure even if software valuations fall. "we don't use the word semi-liquid. We understand what people mean when they use that word, but the reality is that it's not semi-liquid, it's illiquid" — Vivek Bontwal: A key clarification on how investors should understand private credit fund liquidity and redemption features. "the market is starting to appreciate that not all software is created equally" — Vivek Bontwal: Describes dispersion in software borrowers and why AI disruption will affect companies differently.

Implications: Private credit is likely to face slower retail growth and more scrutiny, but not a broad systemic crisis. Investors may see better entry points in institutional credit and adjacent distressed strategies, while retail buyers should reassess liquidity needs and product fit.