AI risks for software lending

In this episode of Excess Returns, we sit down with Larry Swedroe to break down one of the most debated topics in markets today: private credit. Larry walks through what private credit actually is, why it has grown so rapidly since 2008, and where he believes the biggest misconceptions and risks are for investors.

We dig into the structure of the market, how liquidity and credit risk really work beneath the surface, and why the media narrative around private credit may be overstating systemic risks. We also explore how investors should think about diversification, illiquidity premiums, and the potential impact of AI on credit markets and software lending.

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Topics covered

• What private credit is and how it evolved after the 2008 financial crisis

• Why private credit is not a single asset class and how risk varies across structures

• The three key risks in private credit: credit risk, liquidity risk, and concentration risk

• How illiquidity premiums work and why they can be a major source of return

• Differences between private credit funds, BDCs, and open architecture platforms

• Why diversification is critical and how concentration risk can be hidden

• How rising interest rates are impacting defaults and underwriting standards

• Media misconceptions around defaults, losses, and valuation marks in private credit

• The real systemic risk of private credit vs the banking system

• How liquidity actually works in interval funds and stress scenarios

• What happens in a recession and how private credit compares to equities and high yield bonds

• The role of software lending and how AI disruption could impact credit portfolios

• How to evaluate private credit managers including scale, underwriting, and leverage

• The importance of credit culture and avoiding “reach for yield” behavior

• Whether private credit should be accessible to retail investors and the risks involved

• The concept of earning “beta” in private credit vs trying to pick winning managers

• AI’s growing role in investment research and the risks of overfitting and false signals

Timestamps
00:00 Why private credit is less risky than banks for systemic stability
01:12 Introduction and episode overview
03:00 What private credit is and how it grew after 2008
05:21 Who provides capital to private credit funds
07:11 Why private credit is not a monolithic asset class
08:00 The three key risks in private credit
09:00 Illiquidity premium and why it can be a “near free lunch”
12:00 Credit risk and importance of senior secured lending
16:00 Concentration risk and why diversification matters
18:11 Are defaults rising and what the data actually shows
21:00 Media narratives vs actual credit losses
23:50 Could private credit cause a financial crisis
25:50 How to analyze portfolios and why most investors can’t
28:44 Should investors think about indexing private credit
30:12 Can private credit work for retail investors
32:26 Mass redemption risk and liquidity stress scenarios
36:00 Sources of liquidity inside private credit funds
41:37 Software lending and AI disruption risk
47:00 Private equity valuations and spillover into credit risk
49:43 Key checklist for evaluating private credit investments
56:30 How AI is changing financial research and investing