This is a lightly edited transcript from the podcast
Dan: Welcome to the Vaughan Nelson Podcast. With me today is CEO and CIO, Chris Wallis. Welcome, Chris.
Chris: It's great to be here, Dan.
Dan: Chris, great to have you back. Here we are mid-August, and it has been a volatile summer, record dispersion. And then, you know, kind of looking at the correction that we experienced in AI infrastructure stocks and looking past that, they've now begun to recover over the last couple of weeks. First question for you today: do you think the single-stock volatility is being driven mainly by shifting fundamentals or money flows and market structure?
Chris: Yeah. Everything with hindsight is 20/20, and when you look back, it's a combination of the two. I think what you can point to is that the fundamentals will dictate the direction of the move, but probably not the power and the nature of the move. So we saw an increase in usage and an improvement in the economics in and around token use that spurred money to move in that direction. But it was a combination of market structure, being leveraged ETFs, single-stock ETFs, as well as baskets, and it was the structure that I think drove it to the extremes.
Then, as is usually the case, once you get a very crowded trade, it just tips over on itself. So the unwind can sometimes create a false narrative, meaning, "Oh, it must have just been a bubble," when that may not be the case; it may just be a fragile market structure.
And it looks like, in hindsight, the vol-control funds were really pinning the indices over the summer. When you get light volume in combination with those trades, it forces dispersion. Meaning, if one stock goes up a lot, if the index is going to be relatively neutral, then another stock has to go down a lot. The arbitrage of some of those structures creates a lot more dispersion than what we've seen historically. It's a combination of insufficient liquidity or very low volumes that allows that to happen. So I think a lot of the extremes we've seen have been driven by market structure, while fundamentals just dictated the direction—whether something went slightly higher or a lot higher, or a little bit lower.
Dan: Yeah. So following up on that volatility in the AI trade, we continue to see some more ink spilled on the issue of circular financing. The expansion of financing opportunities through the recently announced memorandums of understanding for about 500 billion via structures that mimic CDOs. Do you think market participants should be concerned about the sustainability of the CapEx spending for AI infrastructure, or do you think that there's more funding capacity available?
Chris: So, look, I think this is what Wall Street does. If there's a demand for money, they're going to go find it, and they're going to go find a source for it or a structure for it. So I think the concern we should have is not the demand to spend the money. I think the participants, whether it's the hyperscalers, some of the cloud providers, or the infrastructure components, are more than happy to spend the money. The question is, to what degree do they have access to capital? How much can be funded from operations? How much can be funded from their own balance sheet with leverage?
It's very clear that we've kind of tipped over and we're pushing the boundaries on what's available through traditional credit structures. I think what we saw this week was—I don't want to call it a novel structure, but the adoption of structures we've used in the past, which is: let's find a way to take the compute and treat it like asset-based lending or create a kind of a synthetic CDO structure. They were able to find a way to relax some of the collateral standards such that they could do that.
So it's probably an indication that while Nvidia has been willing to use off-balance-sheet financing to provide some very generous vendor financing1, it may be reaching its capacity limits to do that, whether it's an actual limit or just a desire to not take as much direct exposure. So, by providing the residual value for what effectively will look like a CDO structure, that may open the door to alternative pools of capital.
But I think what's really critical, if we look over the next kind of three to four quarters, is that the level of AI investment we have right now is not being funded out of customer gross profits. This isn't third-party customers using the returns they're generating by buying the AI services to fund their investment. What we're really seeing is the initial investment, and it was being funded out of equity financing. As we've kind of reached those limits and operating cash flow limits, we turned to credit, and now we're kind of reaching those limits. We have to go find alternative pools.
So I think it's really critical that the revenue starts showing up. There is a lot—when you look at the circular financing, no matter who you're looking at, Nvidia or the cloud providers within the hyperscalers—there's a heavy reliance on spending by OpenAI and Anthropic. So it is critical that they continue to have access to capital, which is why Anthropic probably needs to go public, and it's why we need to find alternative sources.
We're kind of balancing the rate of improvement in products and services that will come out of this technology and the ability for incremental revenues to fund it, with investors' appetite continuing to provide capital with the hope that something comes out on the other side. When you're relying on hope, it just creates a little bit of fragility. So