Episode summary

Separating Noise from Reality in the Private Credit Market | EP.39

Alternative Allocations · · 25 min · Hosts: Tony Davidow · Guests: Anant Kumar

Separating Noise from Reality in the Private Credit Market | EP.39 – Alternative Allocations

Summary

The discussion argues that the recent private credit headlines largely conflate distinct risks and asset classes. Anant Kumar says the First Brands and Ricolor situations were not examples of systemic problems in corporate direct lending; they were isolated fraud cases in the ABS market. He also says Jamie Dimon’s “cockroach” remark was narrowed in later clarification and should not be read as a broad warning on private credit.

Kumar pushes a “multi-asset” view of private credit, separating direct lending, asset-based finance, commercial real estate debt and special situations. He argues managers need specialization because each vertical has different correlations and portfolio roles, with asset-based finance offering especially low public-market correlation.

On AI and software, Kumar says the market is overreacting to the idea that “AI eats software.” He argues the real question is where the data lives and whether a company controls a system of record. Horizontal software is more exposed, while vertical software with proprietary data, regulation and embedded workflows can be more resilient. He also says evergreen fund liquidity limits are often misunderstood: they are proration mechanisms for illiquid assets, not a sign that the structure is broken.

Key takeaways

  • Kumar says First Brands and Ricolor were isolated fraud cases in the ABS market, not evidence of systemic direct-lending stress.
  • He argues private credit should be treated as multiple distinct strategies, not one bucket, and managers should have specialization.
  • Kumar says asset-based finance can provide lower public-market correlation than direct lending and can complement existing private credit allocations.
  • He believes AI will disrupt some software, but companies with a system of record and proprietary data are better protected.
  • He says fund liquidity caps are often misunderstood; they are designed to protect long-term investors in inherently illiquid assets.

Notable quotes

“In reality, it was not private credit the way most people think about it, which is corporate direct lending”

— Anant Kumar at 1:58

“I think when you're investing in private credit, you want to pick managers who have specialization in each of these areas”

— Anant Kumar at 4:58

“So I think that's the fundamental shift that's happening. But again in the popular narrative it's like all software is bad”

— Anant Kumar at 14:12

“If you have software that has control of that system of record, it is very hard to disrupt that with AI”

— Anant Kumar at 16:37

“when people talk about gates in this industry it's not really gates in the way you think about what happened in 2008”

— Anant Kumar at 19:39

How the episode opens

This is Alternative Allocations by Franklin Templeton, a monthly podcast where we share practical, relatable advice and discuss new investment ideas with leaders in the field. Please subscribe on Apple, Spotify, or wherever you get your podcast to make sure you don't miss an episode. Here is your host, Tony Davidau. Welcome to the latest episode of the alternative allocations podcast. I'm thrilled to be joined today by Anat Kumar, global head of research of Benefit Street Partners. Anat, welcome.

Thanks, Tony.

And you and I have been talking about private credit. It seemed like for the last year, and candidly, in the marketplace, there's a lot of noise around private credit. Some of which is true and deserves more careful attention.

Some of it is not true. It's just, you know, rumors, innuendos, and speculation. And some of it is just a lack of understanding.

So I I thought what we would do today is do a little bit of a deeper dive and maybe talk about what we're hearing in the marketplace. How do we help advisers? But let's start with the big one up front and that was I I recall you and I talking right after Jamie Diamond made the cockroach comment.

What people assumed is if there is one problem, there are multiple problems and we're going to have a systemic risk to private credit overall. I think you and I would say that's not the case. We both spent a lot of time analyzing and looking at it, but maybe let's just start there.

What happened with First Brands and and how did that create this snowball effect?

Yeah, so first Brands is a bit of a unique situation where the popular media characterized it as a private credit problem. In reality, it was not private credit the way most people think about it, which is corporate direct lending.

From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →

Topics

  • private credit market
  • ai impact on software sector
  • proprietary data systems of record
  • fund structure evolution
  • underwriting and multi-asset approach

Companies and tickers mentioned

  • Benefit Street Partners
  • Franklin Templeton
  • Lazard
  • Deutsche Bank

Watch the episode

Watch “Separating Noise from Reality in the Private Credit Market | EP.39” on YouTube

Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.

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