Transcript
A (0:00)
So there's a lot of noise about AI, but time's too tight for more promises. So let's talk about results. At IBM, we work with our employees to integrate technology right into the systems they need. Now a Global workforce of 300,000 can use AI to fill their HR questions. Resolving 94% of common questions, not noise. Proof of how we can help companies get smarter by putting AI where it actually pays off, deep in the work that moves the business. Let's create smarter business. IBM,
B (0:32)
Bloomberg Audio Studios, podcasts, radio news.
C (0:37)
Our next guest says that highly leveraged software default rates could hit 15% in private credit. Joining us now is Bruce Richards. He's the chairman and CEO of Marathon Asset Management. And you just put out a link. Look, LinkedIn post this morning. Danny and I were reading it before the program, likening what happened in Energy in 2016, 2017, 2018 to what we're looking at it in software now. Is it fair to compare those, those two industries? Because I think Scott was saying, hey, there's a different ball of wax here.
B (1:12)
It is a bit different ball of wax. And Scott's right to say there's no comparison between the industries. Well, let me explain why I come to that parallel. So back in 2014, a new technological change happened for oil and gas is called horizontal drilling or fracking. And that technological change did a couple of things. Number one, it changed the pricing structure for oil and gas and oil and gas services would work. And number two, based upon all the capital that was raised now of a sudden, capital dried up because the pricing structure collapsed. And so what we have in software is very similar. We have a technological change which is forever going to change how software is going to be priced. Now we should think about that industry and based upon the technological change and how much leverage is in the broadly syndicated loan market and then more importantly in the direct lending market, leveraging these software companies, the capital is now drying up. And so what we do, what did we see as a result of that technological change in oil and gas? We saw a 15% default rate in the subsequent years 2016 and 2017. So for me to say that software, which is the biggest sector within the direct lending business, couldn't get to a 15% default rate, I think is actually missing the mark because I think that's exactly what's going to happen in years 27 and it has a chance of happening in 27 and 28 to have back to back years as a result of very different, there's a lot of similarities because of technology Technology changing how pricing structure works at a time when too much capital has been flooding into the sector. Just think about this for a Second, Matt. Only 1% of companies in the US are software companies and only 7% of all publicly listed companies are software. Yet 23% of the direct lending business is soft. How do we get there? It was a gold rush to finance the software companies and these buyouts. And the public companies are sitting in good shape because their debt, when you look at Nasdaq S And P. Russell 2000, the debt that these software companies have with really good margins, the debt that they have is only 0.5 less than 1 turn of leverage. In the broader syndicated loan market, you have five turns of leverage, 10 times the leverage. In the direct lending business, you can have 20 times leverage. So you don't have the companies that can generate the free cash flow to reposition I. They're in a very tough position.
