Private credit's reality check isn't a crisis—it's the market finally pricing in what happens when everyone chases the same yields.
The Summary
- Private credit is cooling, not collapsing, according to Herbert Smith Freehills partner Richard Farley—a normal correction after years of overhyped growth
- Overinvestment created a crowded trade; the market is resetting to sustainable terms as easy money evaporates
- AI companies may be the next stress test for private lenders betting on future cash flows that don't exist yet
The Signal
Private credit exploded over the past five years because it promised what public markets couldn't: higher yields, flexible terms, and direct relationships with borrowers. Pension funds and endowments piled in. Everyone wanted exposure. The asset class ballooned past $1.5 trillion. But Farley's message is simple—turbulence after hypergrowth isn't a sign of failure, it's a feature.
The cooling comes from oversupply. Too many lenders chasing too few quality deals drove terms softer and spreads tighter. Borrowers got pickier. The advantage shifted. Now, with interest rates still elevated and economic uncertainty higher, some of those aggressive bets are repricing.
"Overinvestment is resetting the market to terms that actually reflect risk, not just competition for deployment."
Here's where it gets interesting for Web4: Farley flags AI as the next potential stress point. Private credit has been flowing into AI infrastructure plays—data centers, chip startups, enterprise SaaS companies betting on agent adoption. These are long-cycle bets. The revenue models are speculative. The burn rates are high. And the exit timelines? Uncertain.
Key dynamics reshaping private credit:
- Lenders tightening covenants and demanding higher equity cushions
- AI companies burning cash to scale infrastructure before product-market fit
- Exit environment for venture debt tightening as IPO and M&A markets stay choppy
If those AI bets don't materialize into cash flow, private credit funds could face their first real stress test in a decade. It's one thing to finance a profitable software company with predictable ARR. It's another to underwrite a pre-revenue agent orchestration platform that promises to automate legal workflows in 2028.
The Implication
If you're building in AI or tokenized assets and relying on private credit to bridge growth, expect tighter terms and harder questions about unit economics. Lenders are getting selective again. That's healthy. It filters out the hype-dependent deals and rewards the ones with real traction.
For investors, this is a chance to see which AI infrastructure plays have actual defensibility. The ones that survive this credit reset are the ones worth watching. The ones that don't? They were always just PowerPoints with good pitch decks.