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Ray Dalio on the US Debt Crisis, Interest Rates, AI, Risk in Europe, US vs. China

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The US debt cycle

0:00Ray Dalio. Good to have you with us.

0:01Good to have you on inside. It's always a pleasure to be here.

0:04Ray, you always talk about the five forces, one of which is the debt cycle.

0:09We have a us with a debt of in excess of $40 trillion.

0:14No one. Not quite surprising that 30 year yields

0:17are headed towards 6%. How are you reading?

0:20What's happening there? I think it's just important to

0:23understand the mechanics. That's why I wrote the book How

0:25Countries Go Broke, because there's a mechanical process and people don't

0:30understand it, and it's really quite simple.

0:33Um, the way it works for, uh, countries is the same.

0:36It works for individuals, except countries can print money.

0:40Okay, but one man's debts are another man's, uh, liabilities.

0:45So, uh, what happens is when debts accumulate faster, then, uh, they're

0:51paid back, then debt service costs grow. And so that becomes a higher and higher

0:57percentage of one's cash flow. And when that happens, it starts to

1:01squeeze out spending. And so then you have a problem.

1:06Um, so in the United States. Um, so we have that dynamic as it

1:11squeeze it out. Then also one man's assets are another

1:14man's liabilities for debt. And so you have to think about what are

1:18they holding. And is it holding wealth.

1:20And is it effective. So those are the two drivers.

1:23And so what we're seeing now, for example, on the U.S.

1:27debt is that we spend about 7 trillion a year.

1:31Think about this like a business or an individual.

1:34They spend seven okay. They take in five.

1:38Okay. Spending 40% more than they're, um,

1:42taking in. And they've been doing that for a number

1:45of years. So as a result, debt and debt service

1:48payments are building. And as a result, they are squeezing out

1:53the spending. So we have that kind of a dynamic going

1:57on. Um, then we also have, one man's debts

2:00or another man's assets. And so when you see interest rates rise

2:05naturally because of this supply demand imbalance.

2:08It produces losses in those assets. And so think about bonds as an asset to

2:14hold and how bad bonds have been. As interest rates rise.

2:18And that has an effect. So we have that picture from from from

2:23when you were trading. Right.

2:24Because I mean, you benefited, uh, from investing in government debt for a very

2:29long time. For 50 years.

2:31Yeah. Would you do it differently this time

2:32around? There's always a be long and short,

2:35depending on the nature of the cycle. Right.

2:38When things get worse. But what we have now is a situation

2:42where, um, there's the rate at which it's compounding the size of it.

2:49You know, why does the market go down? The market goes down because there's too

2:53much debt and we're adding to it at that rate.

2:56So, uh, and then we're approaching our limits.

3:00Okay. And then there are geopolitical changes,

3:03you know, the that the United States could run large deficits.

3:08But now because of conflicts, we also have a dynamic in which those who want

3:13to hold US debt, they're holding too much already.

3:16So we have that dynamic going on. Um, and you could see it if you were to

3:23just, um, calculate, um, which is in the book I wrote, you know, how countries go

3:28broke the big cycle. Um, it it shows how that debt service

3:32payment then is squeezing out spending. And so you can see that dynamic work.

3:38So is a debt crisis imminent in the US with yields 30 year yields headed

3:44towards six. Yes.

Interest rates and sectors

3:47In other words, within the next 24 months, 36 months I think within the

3:52next three years. Um, um, what we have is, um, uh,

4:01that issue of, um, that squeezing it out.

4:05And so when you take a look at literally what that means and then what the impact

4:09of that is going to be on asset prices and, um, interest rates matter.

4:15So you have um, uh, a boom which is concentrated in one area really, that is

4:23heavily, um, debt finance didn't used to be, but you could see as that that cycle

4:29happens that what happens is increasingly where it used to be equity.

4:33Now you have to go to debt. And um, that plays a bigger role.

4:38Uh, you got to wonder is 6% is just a psychological level, or would 6% carry a

4:44lot of macroeconomic risk? How might that play out?

4:47If we get to six and is six actually the ceiling might be see six and a half.

4:52I think I think that, uh, you don't look at the interest rate.

4:57It'll have an effect. Of course, you look at the interest

4:59rate, but what I mean is you look at what is the amount of savings, what is

5:05the total amount of capital and what is the demand for capital.

5:10And when you get that imbalance, that supply demand imbalance, then you have

5:15to have the price of it go up until you ration that demand.

5:20So you have to ask yourself what is it that's going to be rationed to it in

5:25that. And and so then we're dealing with it's

5:29not going to be government deficits because they're inelastic.

5:33And in other words, in fact if you had a worse economy they would increase.

5:38So then you find out who would the sectors that are squeezed out.

5:43Is it housing? Housing would be quick.

5:46But with such a large difference in financial conditions of the wealthy and

5:51the poor, you're going to see that happening more at the lower end of that

5:56spectrum. So is it auto loans?

5:58Is it those kinds of loans. Then get squeezed out first.

6:03And uh, something like data centers uh, come later.

6:07And so that's why you start to have more of a wealth conflict because, um, then

6:13the, the people who have less get squeezed the most in that part of the

6:17cycle. Given the current environment you have

Capital flows and geopolitics

6:19said before, the capital isn't necessarily gravitating towards a US

6:23anymore. Where is it going?

6:25Well, the magnitude we're talking about the enormous magnitude.

6:30So, yes, um, the United States now is running large deficits and it is

6:36receiving a lot of capital, however, that because of the changes, foreign

6:42capital represents about a third, almost a third in the amount of money that

6:46we're relying on in terms of debt. And that is also then coming has been

6:50coming from, um, the Chinese and the Japanese.

6:55Uh, they've constituted a high percentage of that debt.

6:59And so and then there were other countries and the Middle East and so on.

7:04But they're starting to get squeezed. And also there were these geopolitical

7:09issues that enter into it. So, um, the Chinese don't want to

7:14continue to accumulate. There are geopolitical issues as well as

7:19economic issues. When you have a debtor creditor

7:21relationship and you have an adversary relationship, that's a very difficult

7:27dynamic, particularly the sizes. And then Japan, Japan has lent a lot of

7:32money because of other, uh, desires to change their economic policies in ways

7:39that I would describe. They've left a lot of money.

7:42Now they want to take back some of that money, a lot of that.

7:46So not only do you have the total size being very large and the size of our

7:51deficits are very large and total financing needs is very large because

7:56it's not just the fiscal deficit of the government.

8:00It is also the I and other large expenditures.

8:04So where does that saving come from? That comes from those sources which are

8:09tightening. And that's why you're seeing the changes

8:12in interest rates. In other words the interest rates

8:15change. It's like the cut.

8:16It is the cost of money. And when there's a supply demand

8:19imbalance, you see then interest rates rise to ration credit.

8:24And that's what we're seeing. And when it comes to debt concerns it's

8:28not just a us I mean take a look at Europe, France in particular.

8:31We saw the massive selloff and some concern that we could see contagion

8:36risks on the back of that. Do you see that happening.

Contagion risk in Europe

8:39Well it's it's the European situation is the same.

8:43And because there is a lack of adequate borrowing, I imagine you've, um, in

8:50Europe and large parts of the United States, you've lived on the borrowing

8:55and then, um, you know, when you reach your borrowing limit, as France has

9:00done, then there's a bind, because then you cannot continue to add to that.

9:05You have to start to run budget deficits, because you almost get to the

9:08point where you have to pay back. In other words, if you borrow, you have

9:12to pay back. And when that happens, then you have a

9:16situation very similar to that. So now you see the desire for greater

9:20taxation. You see people leave, you see whether

9:24they're from France or whether parts of the United States they leave.

9:29And then that, uh, creates a problem. So France is in that particular

9:34position. But it's a European problem too.

9:37So we can see that there's been too much of that debt.

9:41And then of course, it's gone down. So when it's gone down it's like an

9:45asset bonds. And as interest rates rise bonds go

9:49down. And so look at the difference in the

9:52returns of bonds and equities as a result of this, they have been a

9:57negative reinforcement. So now you're seeing money wanting to

10:01leave some of these asset classes. When the supply demand imbalance is very

10:06large. So a contagion is inevitable right.

10:09I guess Europe is concerned that all the capital markets are competitive and we

10:14all have that supply. And but but when we look at the United

10:18States and we look at any country, there has been losses in these bonds.

10:24Right. And so by this dynamic rate we talk

10:28about concerns within the debt market. Yet when you take a look at the equity

Equity markets and AI hype

10:32market, the rally remains intact, especially in the U.S..

10:35Can that continue at equity. Uh, equity um, has always has a higher

10:44expected return than bonds. So what happens is that, uh, it's quite

10:48normal for, uh, equity prices to go up. So keep in mind when prices rise, future

10:56expected returns go down right. And similarly the reverse for bonds.

11:02When bonds go down, then equity then expect the returns for those bonds the

11:08interest rates go up. And so you've seen a convergence of

11:11that. You've seen both of those things happen.

11:14So Abi so the expected returns of equities have gone down as the multiples

11:21rise. And now they're expect the returns are

11:24quite close to each other. It started off where the expected

11:29returns of equities were much higher. So now that cushion between those two

11:33expected returns has narrowed. So when we talk about stocks seeming

11:38expensive and then we do the present value, we use those interest rates to

11:43calculate the present value of future cash flows.

11:46You could see that stocks are expensive by most of those measures.

11:51What that means is the question is, is, is Lynn narrowing?

11:56And so now as we are sitting here today and you see interest rates, you will see

12:02greater interest rate sensitivity to other asset classes, particularly

12:07equities. So at what you level do you think might

12:12we see a collapse in the equity market. Uh right now that cushion of a if you

12:19calculate the present value of future cash flows which every that's what you

12:24use the interest rates and take the present value of.

12:27We are now at a level which is very close to those having approximately

12:34equal, um, present values of cash flows. No one knows exactly what that is in

12:39terms of those cash flows. But you also have a highly concentrated

12:43equity risk. In other words, a limited number of

12:47stocks related to AI particularly and related to that future is a dominant

12:53consideration. So this issue is not just that cushion

12:56which is now disappearing and becomes a little bit more vague.

13:00It also means that there's such a concentration on one thing, and that one

13:05thing is really AI and the implications of the growth of the I.

13:10So I think that you're seeing the hyperscalers begin to encounter issues,

13:16in other words, before they would raise equity.

13:19Okay. Now they're, uh, now they need to come

13:22to debt in terms of more. And so you're starting to see those

13:26limits, uh, being hit. And then as you're going forward, those

13:30returns. I think that there's a shift in those

13:33returns to more toward not only the not the super scalers, but a broadening out

13:38to those entities that can make money from all of this.

13:42In other words, uh, there's the making of AI, but there's also the using of AI

13:48and the using of AI to make great transformations.

13:52I think we're going to see, and we're starting to see more of the rotation, to

13:56the impact, to great the present value. I think they've largely been overlooked.

14:00Before I pick up on I, I just want to pick up on returns.

Systemizing investment with AI

14:05You know, you famously made your bed in your own garage, you know, but now you

14:10see those pot shops, those humongous hedge funds, Citadel millenniums,

14:15sucking in all the money, but not necessarily having the kind of returns

14:19that they should be with that skill. Have we seen the peak of how

14:26those pot shops, you know, can have outsized returns?

14:32I think, um, you know, if you're referring to my

14:37creating Bridgewater or building Bridgewater, which is I think it's still

14:42the largest hedge funds in the world. And so, um, I think that, um,

14:48we are now entering a new era that was, um, in which there's the ability to use

14:54AI to make money in the markets. Right.

14:58So systemizing decision making in terms of creating investment management

15:04systems is the is the future. So I think it's a terrific opportunity

15:09for everybody. Uh, everybody's going to increasingly

15:13have the capacity to make money in different ways if they really are

15:18smarter because it's alpha. If you're creating alpha, then you can,

15:23um, have, uh, great results. I started Bridgewater out of a two

15:27bedroom apartment. It became the largest hedge fund in the

15:30world, and others are doing it. That's the normal path.

15:33So I think that using AI as an as a tool.

15:38Um, I, when I describe I began in 1956 and it's had all different forms.

15:46The idea of systemizing your your decision making, understanding the cause

15:51effect, relationships and using AI to make money in the markets is a great

15:57opportunity for a lot of people, and so the ways it's going to happen will

16:01continue to evolve, and the basics of it is going to be the same.

16:06So yeah, I think that, uh, you're going to see that evolve and, um, you know, in

16:10that way. And the key is you've got to be

16:13competitive in that. You talk about how I will contribute to

Identifying economic bubbles

16:18productivity, but we're also seeing a bubble.

16:21Correct. What are the signs?

16:23They're all. They always come together like I do.

16:26Uh, I've studied the last 500 years of history because, uh, things that

16:30happened before in my lifetime, I realize are happening now.

16:33And so I needed to study that 500 years of history.

16:36And what you see is, uh, for example, I think about the late 20s prior to the,

16:42uh, bust in the late 20s. It was the first time you had

16:47electricity and houses. So you had, uh, Refrigeration and you

16:51had lights. You have first time you had cars, first

16:54time you had airplanes. First time you had the music, um,

16:58movies. First time you had radio.

17:00So all around you, you're seeing this tremendous, uh, innovation that

17:05everybody knows is going to change the world, that everybody wants to bet on

17:08it. But you produce a dynamic as a result

17:11that everybody's excited about. And they say, I'm going to buy it and

17:15I'm going to borrow to buy it. And that creates a big difference

17:19because there's an important difference between wealth and money.

17:23Okay. Uh, wealth is in a sense, easy to

17:26create, but you can't spend wealth. You have to sell wealth in order to get

17:30money to spend it. And so when there's a lot of borrowing

17:34to buy those assets, or there could be even a wealth tax where you need to sell

17:39wealth in order to make money, then you have to then you have a bubble bursting.

17:44And so what we see right now is, uh, that kind of a dynamic going on in terms

17:50of, um, uh, not looking at the price and by, uh, necessity, it's imperfect

17:57because there are those in this new technology where there's a lot of future

18:01that's not precisely known that, um, you can't under invest and compete, right.

18:07And you're probably going to over invest and compete.

18:09So that dynamic goes on to create a bubble.

18:12What creates the bursting of a bubble is the fact that you need cash, and you

18:17start to convert the wealth that you have.

18:21You sell the wealth that you need to do that something like a wealth tax would

18:25have that effect, or having to pay back loans traditionally has that effect.

18:30So there's that dynamic that we have that is going on, and we have to keep an

18:34eye on keeping to the threat or the threat of bubble bursting.

18:39Do you see that bubble bursting in markets like Korea, in markets like

18:44Taiwan, where they've, you know, attracted a lot of eye CapEx?

18:49Has that been misallocation? Well, at, um, it's been fantastic in

18:54terms of the productivity. But what is also happened is they've

18:58gone beyond what their own productivity is, and then they're buying all around

19:03the world. And so they're actually, uh, taking all

19:07of that money in and all that productivity.

19:09And then they're investing it all around the world and they're having a problem

19:13with that. So that's those are good cases of

19:16bubbles beginning. You see the type of bubbles bursting.

19:20You see those price dynamics. And so yes, I think it's um, that the

19:24nature of that beast. But that's not systemically threatening.

19:28But we do have one thing. I, for the most part, a limited number

19:34of companies. And we and it is a very uncertain thing

19:38in terms of present values of cash flows.

19:41And it is a very now expensive thing. So I think the the lesson there is, um,

19:47you know, how do you diversify. well.

19:49For example, I think that those companies that haven't, um, that are

19:54having transitions in their, in their business models that can do a lot better

19:59either in revenue or cutting costs. Generally speaking, have been under

20:03looked. Um, but yeah, you know, I think that

20:07there's that kind of risk that we're under one of the five forces is

20:10geopolitics. I want to bring in us, China.

20:13Do you see a bifurcation? I mean, in terms of technology, in terms

The US-China technology war

20:17of, you know, capital? How do you see this playing out?

20:21Okay. Throughout history, and certainly today,

20:24technology is both an economic battle and also a military and

20:33geopolitical ballot. So we have that.

20:37In other words, you have to be a winner of that technology war.

20:41And there's two different approaches to this.

20:44Um, the Chinese are um, um, picking certain things.

20:48Um, uh, like robotics. Um, and they're, um, uh, just a little

20:54bit behind in the development of, uh, the frontier models catching up faster.

21:00But just six months or it depends on the particular models.

21:04And because they're largely many of them are open source and because they're very

21:09inexpensive. Okay, there's much greater usage of AI

21:14in China. In fact, in the United States now, we

21:17have the issue of whether there's going to be putting a brake on the development

21:21of that. So, um, and so there's that competition.

21:25That competition is to some extent or significantly restricted between those

21:30two countries, but not in the rest of the world.

21:32So, yes, I do think that there is an AI war in terms of the economic war, and so

21:39does involve the rest of the world, because the U.S., it does involve the

21:42rest of the world. It's not confined to the two, because

21:44the U.S. is now saying choose either the U.S.

21:48or China. I know, but the rest of the world.

21:50Most of the rest of the world is not being forced to choose those.

21:54Okay, most of the rest of the world, um, can pick essentially what it was.

22:00It depends. There's domains, but you're you're

22:03seeing the world basically break into these domains.

22:07There's the Americas. Okay.

22:09Think about the Americas. And that's becoming very much like the

22:14tribute system. In other words, that is the American

22:17domain. And then there is more and more the

22:20Asian domain okay. And with a dominant power, um, being

22:25China and so on, with the United States then receding, um, from those

22:31relatively, uh, different domains. And I'm, well, this world competition,

22:36you have that particular dynamic working.

22:39So we see the change in the political or the geopolitical orders.

22:44Here we are in Asia, okay? And we understand in a sense that it

22:48won't be the same. It won't be like it was where there was

22:52a belief that the United States will be a countervailing influence to China in

22:57the region. And so that dynamic means that there's

23:00going to be much more regionalization. And then there were some domains where

23:04then they will compete, like in Europe or the Middle East, and each will make

23:09that. But that domain in terms of um.

23:12So you're going to see, um, um, the Chinese be very competitive.

23:18Who will win where you say it is a tech war that has to be a winner.

23:23Who will be the winner? Uh, um, I don't know, uh, hazard a

23:28guess. Um, I don't, I don't know, um, who will

23:32be the winner? I, uh, I think that what I'm saying is

23:37the most important thing is how we are with the ourselves internally.

23:43So, for example, in the Western democracies, the real question is, do we

23:48work well together? Do we?

23:50Um. No, not only in terms of the rich and

23:54the poor and the left and the right and education.

23:59In other words, to be the best. There's the United States has a great

24:02capacity of innovation and being cutting edge.

24:06Um, in and in China, there is large numbers of highly educated people that

24:13together will be very, very, uh, innovative and very controlled

24:18internally. I would venture a guess that there is

24:21less political risk in terms of disruption of those things these things

24:26represent than the competition. I can't tell you how that's going to

24:30work to, to some extent, because the Chinese have done such a good job of of

24:36combining AI. It doesn't have to be the most advanced

24:41AI. AI being used less advanced in

24:44manufacturing is a tremendous advantage in terms of actually and embedding it

24:50into manufacturing, having products. That's why Chinese exports all over the

24:54world are expanding. So I can't tell you how that's going to

24:58play out. But I do know there's one thing is

25:01whether that can be done peacefully, okay.

25:04And whether that can be done mutually productively.

25:07I just want to jump in before we wrap it up.

Investor risk concentration

25:10I mean, what is the one thing investors have to think about as they digest

25:15what's happening in the world today and decide where to deploy the capital?

25:18Okay. Um,

25:21the risk. Concentration.

25:24Okay. The risk,

25:27um, of being too concentrated in one particular asset, particularly that

25:34which is very exciting, such as AI. Okay.

25:37That risk concentration. That is the most important.

25:40But you also have we have to leave it there.

25:43Thank you. Ray Dalio of Bridgewater Associates.

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