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Private Credit Explained: Inside the $40 Trillion Market No One Fully Understands

April 26, 20264 min read

Introduction

Private credit is everywhere right now.

Every week—sometimes every day—there’s a new headline:

  • Redemption pressure

  • Software exposure

  • Liquidity concerns

  • Systemic risk fears

But most of these conversations miss something fundamental:

They’re only talking about a small slice of a much larger system.

To understand what’s actually happening, you need to zoom out.


What Private Credit Actually Is (Beyond the Headlines)

Most media coverage focuses on:

  • Direct lending

  • Private equity buyout financing

  • High-yield corporate loans

That’s roughly a $1–2 trillion segment.

But the real picture is much bigger:

Private credit is closer to a $40 trillion ecosystem.

It includes:

  • Mortgages

  • Commercial real estate loans

  • Equipment financing

  • Aircraft lending

  • Inventory finance

  • Trade finance

These aren’t new innovations.

They’ve existed for decades—just outside public markets.


Why Private Credit Is Suddenly in the Spotlight

The recent concerns center around one thing:

Software Exposure

Over the last few years:

  • ~1/3 of private equity buyouts were in software

  • Hundreds of billions in capital are tied to this sector

Now AI is changing the equation.

The risk:

  • Software can be rebuilt quickly

  • Barriers to entry are collapsing

  • Pricing power may weaken

Example:

A basic application can now be built in minutes using AI tools.

That raises a critical question:

If software becomes easier to replicate, what happens to its valuation—and the loans backed by it?


The Reality: Not All Software Is Equal

It’s tempting to assume:

“AI will destroy software businesses.”

But that’s overly simplistic.

There’s a spectrum:

High-risk software:

  • No moat

  • No proprietary data

  • Easy to rebuild

Lower-risk software:

  • Deeply embedded in enterprise systems

  • Regulated environments (e.g., aviation, finance)

  • Complex integrations (ERP systems)

These systems are:

Extremely difficult to replace—even with better technology.

So the real question isn’t:
“Will software fail?”

It’s:
“Which software is vulnerable?”


Apollo’s Model: Why It Looks Different

Most people think private equity firms:

  • Buy companies

  • Add leverage

  • Exit for profit

But Apollo operates differently.

Less than 10% of its business is traditional private equity.

The majority is:

Lending across multiple verticals through 16 origination platforms


The Core Strategy: Build an Origination Machine

Apollo’s edge isn’t just lending.

It’s scale.

Key idea:

To find the best opportunities:

  • You need to evaluate 10–20x more deals than you actually fund

  • That requires massive infrastructure

  • Thousands of people sourcing + underwriting

Result:

A wide funnel → selective capital allocation → better risk-adjusted returns


Why Companies Borrow Privately (Even When It’s More Expensive)

A key question:

Why would a company borrow at higher rates privately instead of public markets?

The answer:

Customization + Certainty

Private credit offers:

  • Flexible structures

  • Drawdown-based financing

  • Inventory financing solutions

  • Long-term capital planning

Example:

A company planning $5–10B in capex:

  • Public markets → raise capital repeatedly

  • Private credit → secure capital upfront

That’s not just financing.

It’s risk management.


The Hidden Risk: Liquidity, Not Credit

Most people focus on credit risk (defaults).

But the real danger is:

Liquidity risk

This is what causes systemic crises.

Example:

  • Long-term assets

  • Short-term liabilities

If funding disappears → collapse happens fast

This is what triggered:

  • Bank failures

  • Market panics


How Apollo Thinks About Risk

Their framework is simple but strict:

1. Liquidity first

  • Assume no new funding ever comes in

  • Can the business survive?

2. Diversification

  • Across sectors, assets, geographies

3. Credit quality

  • Majority investment-grade exposure

4. Duration matching

  • Assets and liabilities aligned

This approach is intentionally conservative.

They underwrite as if a crisis is always coming.


The Controversy: Redemption Limits

One of the biggest criticisms:

  • Investors want liquidity

  • Funds cap withdrawals (e.g., 5% per quarter)

When redemption requests exceed limits:

  • Only partial withdrawals are honored

This creates backlash.

But structurally:

These are illiquid assets by design.

Letting everyone exit at once would:

  • Harm remaining investors

  • Break the system

So the real tension is:

Liquidity expectations vs reality.


The Transparency Myth

Private credit is often called:

“Opaque”

But that’s not entirely accurate.

In many cases:

  • Insurance vehicles disclose every loan

  • Details include borrower, size, maturity

The issue isn’t lack of data.

It’s:

Complexity and accessibility.


What Happens in the Next Credit Cycle?

The key question:

Where does the system break?

Likely pressure points:

  1. Software-heavy portfolios

  2. Funds with weaker underwriting

  3. Liquidity-mismatched structures

But importantly:

  • Risk has shifted away from banks

  • More risk sits in less-levered funds

Which means:

The system may bend—not necessarily break.


Final Takeaway

Private credit isn’t one thing.

It’s:

A massive, complex ecosystem of capital flows.

The current fear cycle is focused on:

  • Software

  • AI disruption

  • Redemption pressure

But the deeper reality is:

  • Risk is unevenly distributed

  • Structure matters more than headlines

  • Liquidity is the real fault line

If you understand those three things:

You understand where the real danger—and opportunity—lies.


Until next time, this is Steve Eisman, and this has been The Real Eyes Playbook. .
If you’d like to catch my interviews and market breakdowns, visit The Real Eisman Playbook or subscribe to the Weekly Wrap channel on YouTube.


This post is for informational purposes only and does not constitute investment advice. Please consult a licensed financial adviser before making investment decisions.

I’m Steve Eisman, an investor and fund manager best known for predicting the 2008 housing market collapse. I’ve spent my career studying markets, risk, and the psychology that drives financial decisions. Today, I continue to invest and share lessons from decades of watching cycles repeat.

Steve Eisman

I’m Steve Eisman, an investor and fund manager best known for predicting the 2008 housing market collapse. I’ve spent my career studying markets, risk, and the psychology that drives financial decisions. Today, I continue to invest and share lessons from decades of watching cycles repeat.

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