The $1.5 Trillion of Hidden Debt Fueling the AI Boom | Robin Wigglesworth of FT Alphaville
1747 segments
I'm joined today by Robin Wigglesworth,
editor of Alphavville, the Financial
Times financial blog, and author of A
Fabulous Debt: The Epic Story of How
Bonds Built the Modern World. Robin,
you've been doing some work on the
offbalance sheet hidden leverage of the
hyperscalers, Meta, Google, Microsoft.
So, we're we're reading, oh, hundred
billion dollars of capex. Google's doing
that. Microsoft's doing $150 billion.
This is so much money. Oh my god. But
actually, it's looking like it's almost
guaranteed to be way way higher. you've
been looking at the numbers and just
from the first to the second quarter the
the guarantees the lease uh obligations
and and so forth off balance sheet again
went from roughly one trillion to
roughly 1.5 trillion. What are what are
your thoughts? What are we looking at?
>> No, I mean it's fascinating. I mean it
is one of the biggest capital markets
events of you know our lifetimes really.
Uh it's just I mean we've seen massive
capex booms before like the railways in
the 19th century is like the classic
parallel that people draw transformative
technology very expensive to build. Uh
what's unusual of course you know
railways back in the day used to be
almost like venture capital ideas right
they were very sort of VCish. Uh today
it's like major large uh money machines
that are doing it. of Google, Alphabet
makes lots of money, Meta makes lots of
money, Amazon makes lots of money. Uh,
and for a long time the money they were
pouring into data centers, you know,
they could just fund it from their free
cash flow. You know, out Google search,
Amazon, Facebook itself just, you know,
prints money. So, it's easy. But the
scale is just becoming so massive that
they've increasingly turned to the debt
markets. uh as we now see there are
actually some signs of indigestion like
the sheer scale of the bond sales. We're
talking multiple hundreds of billions of
dollars both last year and already this
year we've already smashed last year's
record for the hyperscalers bond sales.
Uh and they're getting more creative and
look
creativity in finance can be a good
thing. I I I find a lot of this stuff
fascinating, but it can also be quite
dangerous as you know, Jack. And you
know, first it was structuring some of
the bonds as leases. So essentially like
let's say take a great example, Meta is
building a a huge data center in
Louisiana called Hyperion. And rather
than sort of pays to build it, they're
essentially sort of they're only
investing 20%. They're buying 20% of it,
but they are guaranteeing that they will
lease that data center for 20 years. So,
and the lease payments are essentially
will cover the costs of that company
itself like a JV with Blue Owl. Uh, and
they'll sell those bonds to other
investors. But, you know, so it's
offbalance sheet. It's not doesn't come
up as as a as a bond or a debt or a loan
or for Meta, but of course, it's on the
hook for paying this lease for 20 years.
A and this, you know, has inspired a lot
of the other hyperscalers. So, we've
seen massive amounts of these kind of
lease structures happen. So that's
what's gone to $1.5 trillion.
Uh I mean up from I mean less than
trillion last year and nothing
dimminimous a few years ago. And you
know crucially
you know 500 billion or so of that you
you can see as sort of uh they the
leases have started. So you can see them
in the financial accounts. They won't
appear as debt but you'll see the
payment obligations on the balance
sheets. But a trillion dollars of that
is for leases that haven't even started
yet. And that doesn't appear except as a
footnote. So Goldman Sachs, that's where
I got the numbers from. They they did
their God's work in going through uh all
the filings to find their stuff. What I
did then was I started looking at the
purchase commitments because these
companies have also promised to buy
obviously chips and equipment, uh
cooling, stuff like that, but obviously
power as well. You know these data
centers need electricity and they need
quite often guarantees that they will
get that power and that has gone from
again also roughly $1 trillion earlier
they said to $1.5 trillion. Uh and these
are quite often payment obligations they
can't squirrel out of. So they kind of
walk talk and quack a bit like debt but
they don't actually appear as debt. And
I think it's fascinating. I maybe this
is, you know, they're betting the house
on AI and uh I hope this all works out,
but I'd feel maybe slightly more
comfortable if they structured some of
this as more plain vanilla debt and let
the debt markets do the talking.
>> Well, if they've structured it as plain
vanilla debt, we you know, Goldman and
and you wouldn't have to do all all of
this work to figure out. It's it is
really interesting. So it's really a a
transformation from a pure complete AAA
double A investment grade counterparty
like Microsoft and it is using that but
through a much less investment grade
data center developer or a neocloud to
then they're the ones who are actually
spending the money and they you know
report to investors this giant backlog
which you know core we've just reported
and that giant backlog is basically
these offbalance sheet commitments that
the Microsofts and the yeah the
hyperscalers have made. Yeah, I mean you
can say, you know, this is entirely
disclosed. I mean, these companies
aren't hiding the fact that they're
pouring hundreds of billions of dollars
into capex uh and that money has to come
from somewhere. They're not hiding this.
But I do think uh they could perhaps
have chosen a slightly more transparent
approach to this. Rather than wanting to
preserve the optics of pristine balance
sheets, they are kind of increasingly
getting creative about like how they
structure, how they pay, how they
disclose it. Just literally going
through the 10 cues to look at the
purchase commitments. You know, some of
these companies, Google for example,
actually was admirally like they don't
break it up, but that you can search for
it and find it fairly easily. On some of
the other companies, I had to spend, you
know, quite a lot of time digging it
out. It's not easy. And I think that's
unfortunately
>> who's the most complicated?
>> I guess all the others except Google.
Some of them disclose it. Uh but they
don't disclose it in a uniform way. They
use different words in different places.
So it's hard to compare one quarter to
the next quarter. And some of them, you
know, don't disclose it at all really.
They just say they have, you know,
material upcoming payments or promises
to make payments.
>> So it's a bit of a mixed bag really.
Google maybe because it's the biggest. I
mean Google has p purchase commitments
now of $800 billion.
>> So that's chips, memory, equipment,
cooling, electricity, the whole
jamboree.
>> But that's almost half the total. I
think maybe their accountants maybe got
a little bit worried and thought you
know we need to be quite transparent
about this.
>> And do you have a rough sense of over
how many years the majority of that is
scheduled for? cuz like if that's
scheduled for the next three years then
the Google capex number for expectations
is too low.
>> So Google using them again they broke it
up a little bit more transparently
around $200 billion of that $800 billion
is what they call short-term. They don't
define it there but I'm pretty sure
that'll be over the next 12 months or
so. Uh so their payments are coming due
on the leases. you know, if the leases
haven't started yet, it's it's an
accounting thing. Like once a lease is
started, you actually can put a right of
use asset on your balance sheet and then
put the liability on the other side. So,
it's is transparent. This isn't them
necessarily doing something bad or
changing anything or doing anything
differently from how people have done it
forever. I just think that the scale of
it is now such that it's just it's it's
a whole new world and and maybe these
these offbalance sheet liabilities
because they are financial liabilities
that are in many cases extremely hard to
squirrel out of methods for guarantee
for example of the leases for the
Hyperion data center are incredibly
strong. Uh I don't see how they can
squirrel out of them. uh then they
should be more transparently um
disclosed and then investors can make
their minds up and you know broadly
speaking I think people are okay and
understand that they are spending this
money these companies are hiding it uh
but I wish um some of the gamesmanship
uh could maybe sort of be cut out and
then them breaking out a little bit more
obviously
>> Robin what do you make of the deal that
the memorum of understanding that Nvidia
made with five or six giantter
alternative asset management firms
Blackstone, Black Rockck, KKKR to
finance chips and recognize that these
are an investable asset class. I was
looking I asked Claude before this what
percentage of that 500 billion is going
to be debt versus equity. They said
rough my you know roughly 80% debt 20%
equity. So uh you're you're the debt guy
so this is this is good we're speaking
to you.
>> I know this this is a debt cycle. It's
not I mean there's lots of hoopla around
like the IPOs or SpaceX and Anthropic
and and OpenAI to come but really this
is a debt cycle. Uh that actually makes
me more worried. I mean fundamentally
like incredible transformative
technologies come around occasionally
and sometimes they come true. The
railways were genuinely transformative
as were canals or telegraph poles or the
internet. Uh but when these sort of big
investment cycles are primarily equity
finance you know they can break bad but
it's generally fine. I mean the end of
the dotcom bubble the stock market
dropped 50% peak the trough economically
it was a nothing burger it's kind of
hard to disentangle from the effects of
9/11
debtfueled capex cycles are very
different like even when you know the
underline premise comes true and AI kind
of transforms the world quite often they
end in tears uh on this specific deal
one thing I would say that you know it's
very easy to push out press releases
saying we're going to lend or invest S X
or Y or Z into this or that and we'll
see what actually materializes. I mean
clearly there is a lot of heat uh in
this area now and everybody wants to be
seen to be leaning into it. Uh but it's
going to be really interesting to see
what they actually do and how they
structure it because I think a lot of
these investment firms in particular are
going to be very careful about how they
protect their own balance sheets but
also the balance sheets of their
investors. Uh so I I'd urge people at
this point in the cycle to take you know
press releases
uh with a pinch maybe in a fistful of
salt.
>> Yes.
What what do you think that these AI
securities are going to look like? I
mean Larry Frink literally said I don't
know if he was on vacation these AI
securities. What's an AI security?
Well, I think it's just compute and I
think that's quite an interesting thing
and I I think this story is kind of
throwing in a lot of different things,
but it's the transformation of compute
like just kind of you can buy a lease a
certain amount of GPUs I guess or or how
you structure it that can can be turned
into an asset class. I I think it is you
know there is a a journey there. Just
because you say something is an asset
class doesn't make it so. uh when it
does become so the SEC typically has
something to say and will have a view
about it. Uh but I do think that is the
directional travel that in the same way
that like water or or commodity is a
tradable asset class at least the
futures on these things. I can see us
getting compute futures as well and and
that becoming roughly investable. Um my
my weariness is that you know just
because something is investable asset
class doesn't mean people should be
investing in it. We'll hear lots of s of
stuff about oh you need to kind of be
diversified and this is democratizing
access to whatever everybody has and you
know to paraphrase you know who was it
gobles who the Nazi propagandist who
said when I hear people talk about
culture I reach for my gun he was not a
nice man but whenever I hear people talk
about democratization of something I
tend to reach for my metaphorical gun
because it's usually a code word for
jamming something down the necks of
retail investors that not really quite
ready to digest. Um, so I actually have
great hopes for compute futures and and
and turning compute into some sort of
tradable asset class. That sounds cool
and interesting to me. Uh, but I think
there's a journey still to to make on
that. And I'd worry about what happens
along the way as well. And something
like a commercial real estate building,
yeah, it can be risky, but like you
know, a building is generally going to
hold its value and generally appreciate
over over time. So like a loan to value
of 50%. So so the you know, you lend 50%
of what the property is worth is like,
you know, pretty pretty appropriate. And
you're you're lending to pipelines of
oil infrastructure like these things
these are things we understand. And for
something like compute, yes, the market
right now is super hot. And you know,
Google is buying compute from SpaceX for
a super super high amount of money. And
on the depreciation argument, like the
Michael Bur argument, basically every
single data point of the past nine
months has has not supported the Michael
Bur depreciation point like depreci
favorable rates. Um but but just because
Michael Bur's been wrong doesn't mean
that like there's going to be a glut at
some time and that lending a trillion
dollars against this thing is a good
idea.
>> Well, fundamentally it's it's a lending
decision if you're lending towards it. I
mean the comput the chips do degenerate.
There is like there is a halflife to how
long you can keep them and you know for
example with SpaceX putting up in space
like how you going to do maintenance?
How you going to replace chips that
burnt out? Uh but I would say that look
you know finance lending officers like
they mess this up all the time but
broadly speaking that's what markets are
really good at that can be priced as
long as it's a known risk and in you
know this is very much a known risk
people can price it in. People can
adjust and sometimes they'll make a
mistake and you know they'll get their
faces ripped off and other people will
make money but that's the way of
markets. is kind of what makes this
system so dynamic. Um, so you know, I'd
be worried about the sheer amount of
money going in there and some of the
return expectations and this kind of
sense of of FOMO that seems to be
everywhere these days. Um, but that
doesn't mean that sort of the end
destination isn't the right one. It's
just, you know, how many how much money
we lose along the way and who loses it
and when. Robin, in your book, you've
been doing a lot of work on, I mean,
close to a a millennia of reading of of
financial history. I'm curious about the
trends and patterns you've noticed about
the following question, pricing power.
Whenever a new industry emerges, there
often is tremendous pricing power, as
there is in AI and semiconductors right
now. throughout your many many centuries
of of reading of history, what tends to
happen to that pricing power?
>> It tends to erode. Uh there are so many
examples of this. Um I do worry for
example this right now Nvidia is the the
picks and the shovels distributed to the
entire AI revolution. uh but it has
obviously it depends on its own supply
chain and I do wonder about the the
assumption that nobody else can create
GPUs at scale and quality of an Nvidia
ever. Uh because right now we're pricing
that in and pricing power tends not to
last forever. It's just again in a
capitalist system, people respond to
incentives and kind of monopolist like
pricing power tends to not last very
long. Sometimes it can last for a few
years. Um, but it never lasts forever as
far as I know.
>> What's the most extreme
debt cycle that you studied in the book?
the GFC to lead up to the GFC, you know,
because it was kind of the culmination
of uh a debt bubble
in every part of the world and in every
sector. Sometimes it's governments,
sometimes it's companies, sometimes it's
households.
In this case, actually, governments
weren't for the most part lovering that
much up. Uh they were doing a little
bit, but but but it wasn't too bad. Uh
but it was pretty much everywhere. You
know, everybody thinks that, you know,
our banks were uniquely terrible or our
politicians or our government was
uniquely effectless, but in reality, it
was a global phenomenon and the scale of
it was just kind of wild. And also, you
know, one of the reason when bonds and
debt becomes particularly dangerous is
when essentially it's been so long since
a previous crisis that you treat it as
money or money like I mean it's kind of
one of the USPS the ultimate selling
points of bonds originally was that it
was kind of a you could use it as
collateral as money uh for certain
things. it was kind of because it's you
know government bonds you quite often um
and then over time people started using
high-grade corporate bonds like IBM or
Microsoft very solid you know you can
use that as collateral for loans uh but
then of course you know in in the 2000s
people started using as back securities
and initially those were super solid as
well and eventually you know we take
things too far and you know they were
not the equivalent to money in fact you
couldn't trade them and some of them
were close to worthless and that I think
is what really transforms almost like a
a humdrum market downturn or an economic
recession into something nasty like
really bad is not when you invest in
something that's risky and it blows up
in your face. That's fine. That's just
risk and reward. They're part of it. If
I invest in junk bonds, look, if they
break bad, if they default, you know, I
can't complain about that. Maybe I did
something stupid. Maybe the company did
something stupid. That's fine. is when
you invest in something you think is
super safe or you base your entire kind
of investment strategy or the business
model of the bank around something that
you thought was super safe proved not to
be so and that's what happened I think
in 2008 it wasn't just the scale of the
debt bubble it was how people treated it
that's what transformed it into such a
horrific uh financial disaster but it
probably isn't my favorite crisis
because there are so many to to choose
from like really demented on
We'll get into some some demented ones.
So, a principle you're saying is
basically financial crises are caused
not by perceived risky assets, but by
assets that are perceived to be safe,
but that that are risky. You mentioned
junk bonds. Now, the more polite term of
course is high yield. And it's it's
funny obviously like the the real action
of risky credit lending was junk bonds
when it was, you know, invented in the
1980s, but now like all of that risky
lending has a lot of it has migrated
from the high yield bond market to the
private credit market. So, the high
yield bond market is, you know, so
so-called, you know, safe relative to
the private credit market. I'm sure the
private credit people would disagree.
What do you make of the rise of the the
private credit asset class? And what
have you made of the the jitters in the
market? And I'm I'm curious to what
degree do you think they are real versus
uh just just headlines and not much sub
substance to them?
>> Oh, they're real. Uh I I've been
borderline obsessed with private credit
for a long time and you know I've had
many arguments with people in the
industry and and the nuance I I think
it's a fantastic asset class. I think
it's fantastic idea. I hope it bring
grows and grows because I actually think
it does derisk the financial system.
That's not just marketing from uh from
from the executives in the industry. I
think it's great if we take basically
these bundles of risks which is what
every loan constitutes and that is in
the investment ecosystem like in the
non-bank system. I think that's a a
great thing but as we know like whenever
people get over optimistic people do
dumb uh people invest have
invested way too much money in private
credit based on very backward-looking
numbers and the illusion of safety or
just like frankly the the the lack of
volatility which is just an artifice
because of the sort of lack of
marktomarket accounting. Uh so yeah high
yield frankly does I mean it's not safe
but it's far more solid I'd say now than
it ever has been. I mean the ratings is
an obvious way to look at it. Like over
half the market is double B now. Uh but
just generally the quality even beyond
ratings I think is far more solid and it
throws off cash. It's the technicals
been great. Uh and private credit has
picked up all the dicey stuff and I
think that's great. That's where it
should be. But that does mean there's
been dicey stuff happening there. I
mean, for me, the the the real wakeup
moment was when I was still in the
United States and like I started getting
cold calls and offers for private credit
lines. Me, I mean, as a journalist. I
mean, that's just astonishing, right? I
mean, nobody should lend in any money to
any journalist ever.
>> You Oh, to to lend you money, not not
for you to be an investor. Really? Okay.
>> People were offering me term loans, you
know, needing you 20 30,000 million
working capital 304
percentage points above liable. I mean,
incredible sprays. I mean, I didn't
actually take them up on it, but I just
thought when we're getting to that kind
of spray and prey kind of approach to
origination. Like, there was so much
money flooding into private credit. And
it's it's a very kind of how do you find
the borrowers? How do you find
highquality borrowers? Well, actually,
in the end, you don't need to find high
quality borrowers. You just need to find
borrowers to take the money so you can
earn fees on it. It's very similar to
what we saw in 2008. Not in scale, of
course, but the idea that you just want
to make mortgages because that's how you
got paid. you got paid by sourcing
mortgages and making them and then you
know hopefully the risk is worn by the
next guy. So I think in private credit
too much money flooded in too quickly.
It has been deployed you know a lot of
it still dry pad hasn't been deployed
but it was in some cases deployed poorly
and there is a default cycle that is
probably going to be far worse than what
the backward-looking numbers look like.
you know, private credit looks great
if you look at the the the historical
data because, you know, frankly,
you're not looking at the market today
then. Now, it's just a very different
market. Um, but that's again, that's
part and parcel parcel of finance. We
want these things to happen. You want
cycles. You want ups and downs. You want
people to learn their lessons, and they
will. and and hopefully at some point
private credit will dust itself off,
learn from this in the same way that
securitization has and come up with a a
better mousetrap afterwards and and that
is actually a good thing that will stick
around for a long time.
>> What is the issue with the mousetrap?
What and what could be better about the
mouseetp
and the leverage. So, I mean, two of
those two, three things that will, you
know, blow up anybody. Uh, I think
I do think you can make a case that
private credit could be sold to retail
investors, but it has to be done
exceptionally carefully. And I don't
believe in sort of semi-liquid
offerings. Like if you're going to
invest in an illquid asset class that
like touts liquidity as one of its main
selling points, do not do it even in a
semi-liquid format. You know, if you
invest in loans with a 5year tener, then
you should be locked up for 5 years. Uh
because retail investors, we know
whatever they say, whatever, you know,
retail investors can be like people like
me or people are worth, you know, quite
a few million or even billion, but
people pull their money out when they're
afraid. uh and these structures aren't
built for that. So I hope more credit
migrates from the banking system and
into the non-bank financial system that
the non-bank financial system you know
private credit firms, bond funds and so
on uh lock up investor money for a bit
longer. I don't think I mean we've built
an entire financial system around the
idea that like one day liquidity is some
sort of god-given human right and it it
isn't and it shouldn't be. It's actually
dangerous. I think even mutual funds
should have you know my personal view
should have longer lockups. You should
not be able to pull your money out daily
because it actually leads to suboptimal
outcomes for both you the investor and
the fund manager because they have to
make decisions knowing that you know
money can go in and out on any given
day. Uh and private credit that's
particularly acute. So a better
mousetrap you know there are many sort
of small little fiddles. I would prefer
levered like investment vehicles that
invest in in highly levered companies
not be levered themselves. So BDC
>> zero to zero leverage.
>> Yeah. So zero leverage ideally. I mean
again term leverage if if a BDC sells a
10-year bond and invests in some similar
maturity assets. Look, it's not ideal
but it's fine. You know
>> for the public BDCs, you know, I've done
done a little bit of research and a lot
of it is termed. The BDC is just one
more transparent slice of the private
credit industry that you know quite a
lot of institutional investors that put
money into private credit.
>> As the returns started falling because
there was capital gushing in certain
return expectations, they lever up their
investments in these funds and you know
again done judiciously, done carefully
with no recourse. Maybe that's smart,
but it makes me feel uncomfortable when
you basically kind of lever up an
investment in a highly levered vehicle.
Anyway, so that's on the more on the
institutional side. I hope nobody's
borrowing money from the brokerage and
yoloing into BDC's, but you know, to
each of the road.
>> And also, there's a reflexive dynamic
you referenced of that when money floods
into an asset class, it makes returns
look really good. So the private credit
loans that were made in 2018, a ton of
money flooded into in 2022 to refinance
those loans. So defaults were very close
to zero. So so even if on a fundamental
basis nothing changes, defaults will you
likely be higher be as inflows go down
which they look like they are going to.
>> I mean that's very apparent in in the
equity market, right? inflows will uh
encourage you know will push the asset
classes up and that in BDCS like I say
the or in private credit there's a
different nuance it's not like that the
loan value will suddenly go to the moon
suddenly because there's more money
going in but yes it will give the
private credit fund manager far more
flexibility in how they manage humps
along the road bumps along the road uh
but you know only to a certain extent
it's one of the reason why we've seen
the increase in payment payment in kind
is because some of these companies like
payment in kind is a completely viable
and acceptable and important tool in
many cases. It is the right one to use
for companies growing very quickly but
you know don't want to send cash out the
door right then but I think it's
unambiguous that lots of private credit
funds have been using pick as a way of
deferring the pain essentially. Uh the
danger is of course a lot of these
companies and this is where for example
the default cycle comes in. It's not
just the fact that the defaults have
been kept probably artificially low
because of the money coming into the
market but also the recovery rates are
are are somewhat I'd say fantastical
rate uh the assumptions. So typically
let's say in a high yield bond you might
get 70 80 cents on the dollar. uh
depends on where you are in the cap
structure of course, but people have
penciled in um I suspect unrealistic
recovery rates when a lot of these
companies are not going to have any
recoveries whatsoever. Let's say if
they're in the software industry uh
where you know there there are no plants
and factories and roads and trucks,
right? It's just if the company isn't
good, it blows up and there's nothing
there for you as a creditor. So, it's
going to be fascinating to watch. I so I
I tend to be on private credit stepping
back. I tend to be on those guys that I
think it's it's going to be a bad
default cycle. It's started already, but
like it's getting masked, but it's not
going to be catastrophic. And the asset
class deserves to survive and thrive
once more once it's been through a few
of these.
>> Definitely. And you know, in a in a
crisis, I think some of these public
BDCs are probably going to go to 30
cents or 40 cents of net asset value.
And and for for investors with the
stomach, there could be opportunity
there. Yeah, completely. I mean, you
know, buying, you know, dollars for
pennies is is a a classic way of of
making a killing. The problem is when
you time it, of course, and when the
BDC's, you know, go further because it's
people always think something can fall
can't fall any further than it always
can, unfortunately. But, you know, I'm
not yoloing into BDC's go that way.
Robin, everything we we've we've talked
about the offbalance sheet, debt, the
hyperscalers, Nvidia, very, you know,
murky unclear what's going to look like,
private credit. What themes are present
in the in there that are present
throughout the history of the rise of
the bond market and in debt, uh, that
you you wrote about in your book. Well,
in fabulous debt, I talked a lot about
how, you know, we we we associate bonds
with safety, and quite often that is
true, but sometimes that safety can lull
pe people into a false sense of safety,
and they do stupid stuff. Uh, and also
bonds are just as maybe not just as, but
are also susceptible to these kind of
bouts of mania that that we see in the
stock market most obviously. Um so
whenever a transformative new technology
comes that typically manifests itself in
both the stock and the bond market and
sometimes the most dangerous development
happens in the in the bond market. A
classic case where were the canals and
banks of the United States in the early
uh 18th 19th century. So after
independence the US was rebuilding
itself. It was building canals. All
these states were borrowing money for
banks. New York famously started with
the Eerie Canal which was just a
transform. It was like the Apollo
program of the era and it was a huge
success and they sold lots of bonds and
both the investors and the state made a
killing out of it. But that encourage a
d debt bubble a bondishness bubble that
ended up you know half the United States
being in default like the individual
states all bankrupt uh and and that was
you know quite a nasty crisis that took
some time.
>> So it was the states the government
state governments that built the canals
and they were the borrowers. Okay. Yeah,
typically. So they looked at what New
York had done with the Erie Canal and
then borrowed a lot of money on their
own balance sheets because obviously
they had very little debt because the
the United States as a federal
government had assumed all the
post-revolution debts. Uh they sold lots
of bonds to investors in Britain and the
Netherlands and Italy and France and
Germany and some of the United States
and they you know started banks, they
built canals, they started gingerely to
industrialize but they just borrowed too
much money. There's actually a great
scene in in A Christmas Carol by Charles
Dickens where Ebene the Scrooge, it's
not unfortunately in the uh the Muppets
version, which is my favorite. I watch
it with my kids every Christmas. Uh but
where Ebenezer Scrooge has a nightmare
and he wakes up in a cold sweat cuz he's
had a nightmare that all his securities
have been transformed into United States
securities, which was Dickens's joke
about how US bonds had then by then like
all been become worthless. like half the
states pretty much had all defaulted and
some of them never repaid back their
debts ever. Uh so at the time, this is
in the 1840s, the US was synonymous with
I guess like Argentina today, like a
country that just defaults all the time.
But you know, those canals were
valuable. Most of the states dusted
themselves off and we've never had like
quite that violent a spate of of state
or or kind of municipal defaults in the
United States since then. Same thing in
the 19th century and late 19th century
with the railway mania. I mean that was
just massive. I mean if you talk about
AI data centers today, you know, that's
a few trillion dollars, but the
equivalent if you scale it the size of
the US economy in the 1870s and 1890s
and 189 and so on to the present day,
we're talking it's the equivalent
railways issued the equivalent around
$10 trillion of bonds. It was the
biggest cap explosion in history. And
you know, a lot of those railways went
bust and investors quite often again in
in in England and in the Netherlands and
France and Germany and Spain and
Denmark, they lost their shirts, but the
railways were still there. And that
literally like physically napped kind of
knitted together the United States and
kind of transformed the economy. Um,
which goes to show that these mania look
the very painful after the 1871
financial crash when lots of railways
went bankrupt. It caused the collapse of
a bank called Jay Cook which was kind of
it was the equivalent of JP Morgan going
bankrupt today overnight. It was it was
catastrophic at the time and it caused
what was you know long called the Great
Depression until the actual Great
Depression happened and we now call the
downturn in the 18 uh70s the long
depression. Uh but it still transformed
the United States because all those
railway waves were still there and
uh you know I think it shows mania and
and financial crisis although painful
sometimes they're a good thing that like
a weird thing is that the optimal number
of financial crisis is arguably not zero
as painful as they are to live through.
>> That's an that's an interesting argument
probably. I mean I mean basically to to
to guarantee that there would be no
financial crisis, you'd have to have
regulation speculation basically be
banned. And I could see I could see the
definitely the downsides of that. Robin,
I understand how someone could get into
a mania about a stock. They buy the
stock at 100 and it goes to 900 and they
get extremely emotionally very excited,
but just in terms of I can't wrap my
head around a mania, a credit mania. I
understand they exist, but like the idea
of earning uh sofur plus 4% on a risk or
thing, it just doesn't, you know, it
doesn't really get my my my my blood
pumping, you know? Maybe something's
wrong with me.
>> No, I mean, sadly, there's never been
there have been meme bombs. Uh but there
aren't any meme bombs around today. I
guess maybe TLT is the closest.
>> Oh, yeah.
>> Or the levered version of TLT. Um, no.
So, back in the day, most bonds were
actually perpetual bonds.
>> Mhm. Uh so they were quite you know they
lasted until the government or sometimes
a company uh paid them back. Governments
especially issued perpetuals and they
were quite often sold at a discount. So
they were sold at let's say 90 cents on
the dollar uh at an interest rate of
four but then of course
>> 90 or 1 n
>> 90 yeah or 60 cents on the dollar or
whatever right. Uh but they were sold at
a discount which is why you could have
price appreciation for the bond as well.
And you know this is a different era.
People didn't have Bloomberg terminals.
It was you know quite difficult for even
some smart bankers to calculate
literally what was should be the right
price for this bond. So you'd see bonds
trade way above par. We see that in
modern day but like it just shows that
the bond could go up and down a lot. So
people could get quite excited and in an
era where you know what else could you
buy to make money. So, let's say if
you're in uh Change Alley, it's kind of
the Wall Street of of Britain in the
17th and 18th century, and you're buying
a bond for a newly independent Latin
American country. Well, you might be
buying, let's say, a Brazilian bond,
this new fantastical country you've
never heard of called Brazil, but you
know, the banks are saying it's
fantastically full of potential. You're
buying that at, let's say, 50 cents on
the dollar. Well, and then you're also
getting the coupon. Maybe you're also
getting the equivalent of 10 cents a
dollar on interest all the time. So
you're getting that plus the price keeps
going up because everybody else is
discovering this new country called
Brazil. So that's why you can get
wrapped into it. I mean in the 19th
century there was a famous fraudster
called Gregor McGregor that literally
invented an entire country so you could
sell a bond and he just took the money
and ran to France. Uh but you know
people didn't know better back then.
>> Fraud fraud is the business that has the
highest profit margin.
>> Yes. Very much so. So if you can get
away with it, Gregor McGregor made out
like a bandit. But to be fair, like I
mean his efforts, you know, there are
frauds and then there are frauds. This
guy invented an entire country. He
invented a capital, a coat of arms, an
entire system of government, geography.
Had maps made. He had songs made. He
just basically invented an entire
country out of cloth and managed to
trick hundreds of people to literally
move to this country and also invest in
the country's bonds. But they ended up
at something called actually the
Mosquito Coast. And most of them died
there sadly. So you know quite tragic
end but you know the joke is that the
difference between tragedy and comedy is
time. So hopefully after 200 years we
can we can laugh at the the debacle of
pouet and Gregor McGregor.
>> Yeah I I don't think I want to go to the
mosquito coast.
>> No it's not nice. It's somewhere in
Guatemala now. But that's where he
invented this country of of of golden
honey everywhere apparently.
Robin, one thing when you mentioned that
how many of the canal bonds went bad,
how many of the railroad bonds went bad,
but ultimately like, okay, the old man
and the family made the loans and
eventually the grandson was able to like
recover 70 cents on the dollar cuz he
held it. It just made me think that just
people holding the bonds like in their
closet drawer and then eventually being
paid back. that is much more stable than
like a highly sophisticated financial
institution holding these securities on
leverage which is what BDC's are
basically even though it is a lot of it
is term debt.
>> Yeah. I mean the reason why we always
call like financial crisis back in the
day used to be called panics because
usually it was banks that held these
loans these bonds and and even though a
bond was you know is technically
designed it's supposed to be tradable
quite often when everybody wants to sell
and nobody wants to buy well good luck
trading it and there was no deposit
insurance they had deposited money they
borrowed money themselves so that's why
you know banking crisis and panics you
know they they were intertwined for a
long time uh now it is different. But
yes, sometimes if you buy something
unlevered, you know, you can lose money,
but you can only lose what you put into
it. Uh, and that's why leverage is so so
dangerous and, you know, has shown that
again and again and again in every major
and minor market cycle.
>> So earlier you talked about the great
financial crisis 2008 GFC, but you said
it wasn't one of your favorites. What is
one of your favorites in the book
>> and why?
>> Oh god, it's like choosing my favorite
child. I know. You know, it's it's very
difficult. I mean, I do like Gregor
McGregor and Poyet. I mean, it's just
incredible, right? But I mean, 1873, the
the railway man crash is kind of epic
because it was epic in size. It was epic
in in its casualty. Jay Cook was he was
the John Pay point Morgan before John
Pay Morgan. He was Titanic. He was the
guy that bankrolled the North's victory
in the Civil War. Um and suddenly he
just went bankrupt out of the blue cuz
he he'd gone over his skis on on
transcontinental railway bonds. He'd he
decided against his better judgment
initially to back one of these big
companies and and it just soured on him.
So because the mix of like the the
enormous ambition of these
transcontinental railways cuz they
weren't just like one they were like a
series of Apollo programs all happening
at the same time and it did genuinely
transform the United States into what we
know now know today. It used to be kind
of a coastal country. It was like north
and on the eastern coast and the west
coast and it went up and down but
suddenly it became a country that
changed its axis. It was west to east.
uh you could actually travel from you
know California to Maine in a few days
at least or at least a week rather than
months it would take before. So I think
the mix of both the economic impact the
political
uh importance you know this really did
transform it kind of united the United
States physically for properly for the
first time and you know how nasty it
ended it was a a gigantic financial
crisis that we don't remember that much
these days but you know it was it was
huge almost everywhere lots of companies
went bankrupt in the United States is
expressions like hobo came from that era
um because there were so many homeless
people and and soldiers, unemployed
soldiers also after the civil war that
lost their employment at the railway
lines. Um so I think that's probably my
favorite, but you know change
>> a hobo on the railroad tracks. You can't
have that if there's no railroads.
>> No, exactly.
>> It kind of seems to me like as
speculative as data center buildout is
once the data centers are built, they
are producing revenue now. Seems to me
that railroads back then were a little
bit more expected like to actually
literally you have to have a guy putting
the the wooden tack in and then you know
foot by foot across the entire country
and before the and then it has to be
built then the train has to be built.
You have to market it before the revenue
built like that does seem to be a
greater endeavor than building a data
center which is now very very difficult
and takes time and tons of capital of
course but uh it seems a little easier.
>> Yeah. I mean, don't forget I think the
the difference between railways in
Europe and the United States is an
interesting one because like in Europe,
railways connected existing towns. Like
you built a railway from Liverpool to
Manchester for example or from Berlin to
Paris. In the United States, railways
built towns. It created entire towns. It
created entire states. Bismar, the city
is literally only main named Bismar as a
marketing gimmick for the company that
built that railway line, the Northern
Pacific, uh, as a marketing gimmick to
appeal to German investors because the
charts of Germany at the time was called
Auto Fon Bismar. Um,
and you know, these were in the middle
of nowhere. I mean, as you know even
better than me, I mean, the United
States is a vast country and back there
very little of it was settled. So, you
know, it's incredibly hard work. I mean,
obviously, this is manual. People had to
literally hammer down the nail. They had
to dig out the grow, the roads. You have
to keep it smooth as well, right? So,
it's some backbreaking work. Then there
are all the the ravines, the mountains,
the forest, everything you have to go.
And this in the middle of nowhere, it
was lethal. Like thousands of people
died.
As much as the data center construction
is is is pretty epic today, I am not
aware of sort of mass casualties in the
in the construction of a data center in
New York yet and and and you know this
was
um you know the equivalent of building
the pyramids essentially very epic,
hugely dangerous and incredibly lethal
but you know transformative in the long
run.
>> Yes. And you're using the word epic in
the British sense or the way the British
people use the word great. Like it
doesn't mean that it's a good thing. It
just means it's big at scale.
>> Oh yeah. Yeah. No, I mean I think the
railways are good. Pyramids, you know, I
mean lots of slave labor there as well.
I mean in in in the railways there was
you know a lot of it was free workers
but you know not always. and they were
treated incredibly shabily, especially
like lots of workers were imported from
China for example and would you know
basically killed in the thousands. Lots
of Irish workers uh and you know it was
you know a positive thing in the long
run but you know not quite up to modern
labor standards put that way. Uh but
yes, epic in the
titanic country transforming projects
that unfortunately do sometimes always
have a darker side as well.
>> So uh a few months ago I interviewed the
Ilio Leoad Aamemed the author of a book
of 1873. A few months later I'm
listening to the Microsoft earnings call
and CEO Sachin Della says you know we at
the Microsoft the executive team we're
reading in 1973 so we're thinking about
this. So let's say in a few months the
next Microsoft call um you know the the
team they they say we're we're we've
been reading a fabulous debt epic story
of how bonds built the modern world.
What are some lessons that you think
they should know? The people who are
spending hundreds of billions of dollars
borrowing hundreds of billions of
dollars and probably according to the
off you know balance sheet lease
commitments it's going to be over a
trillion uh trillion and a half as you
say. What are what are the lessons that
that they should know?
>> Well's book is is phenomenal. Uh, it's
really good. You know, I take I tackle
the railway mania and the US. My book is
a bit more US- ccentric. His is is more
global and focus maybe a bit more on
Europe and the Grunder Crack in in in
Europe, which is spectacular.
>> Um, but I hope people realize that bonds
are an incredibly powerful financial
technology. It's kind of the financial
technology. It's kind of loans 2.0. I
mean, they were both both banks and
bonds were born in Renaissance Italy a
thousand years ago. Uh, but it's only
now really that the bond market has I
I'd argue supplanted the banking system
as the dominant credit engine of the
global economy. And the reason why
actually some of the basic building
blocks haven't changed that much over
the hundreds of years is because it's
incredibly powerful. You know, it's
fixed in interest so you can calculate
things easily and it's tradable and that
gives you and it's decentralized. It's
kind of the original, it's the OG
decentralized finance because you can
sell not just a one or two banks, borrow
for a couple a club of banks. You can
sell bonds to thousands even millions of
investors indirectly. That's why you can
pull individually tiny pieces of savings
into one big gushing river. And that's
kind of what the hyperscalers are doing.
So I hope like a Microsoft uh or any of
these CEOs and CFOs reading it would
realize that actually bonds you can
iterate on the fund fundamental
technology and people are and do but it
still works and that transparency the
the sobriety that comes with doing
something through public fixed income
markets rather than leases
uh opaque financing uh arrangements uh
private credit loans loans negotiated,
you know, off the side. Um, that comes
at a cost. That that that's flexibility.
That's great. But if you have big
projects like the railways, the most
valuable thing to do is to just sell
bonds. The bond market is supremely able
to to handle that. uh and and has shown
that again and again and again ranging
from you know Napoleonic wars, canals,
railways and AI centers to today and I'd
much rather that goes into the public
fixed income markets than than than stay
in the shadows.
>> Why is it in the shadows? And you talk
about this flexibility, you know, the
private property people, they say, "Oh,
our borrowers love flexibility." I don't
even really know what that actually
means.
>> I agree. I mean, flexibility, this
sounds great. Like, yeah, you want
flexibility? Yes, definitely. You want
freedom? Yeah, definitely. But in
practice, it comes at a cost.
>> I mean, broadly speaking,
>> if Microsoft wants to, let's say, sell
10 billion, wants to borrow 10 billion
to build a new data center, what is the
cheapest way for a large mainstream
public company to do so? Is it to sell
to like 10 private credit firms or maybe
a handful of private credit firms to do
it without a rating doing it quickly? We
can do opt opportunistically that way.
Yeah, sure. But you're definitely going
to pay a lot less to borrow by just
issuing a plain vanilla for general
purposes corporate bond. And the reason
why they aren't doing that is because
they want to maybe obscure how these
companies have become kind of been gone
from being lean mean cash machines into
being capex hungry utilities. And maybe
that pays off. Uh I mean the returns of
some of these data centers are pretty
phenomenal right now. Um, but they're
not doing it for purely financial
reasons. Uh, and I think flexibility is
probably a convenient excuse
um to hide, you know, that this is more
about making them seem healthier than
they really are. Yeah. I I think one
thing that like Coreweee, you know, Neil
Cloud is doing is delayed draw term
loans. So, oh, you don't have to
actually borrow the money until you need
it. So, it's like it's like a credit
line. Um yeah, I mean the the real king
of debt I would say is is cororeweave
that that there's just reported. I I've
never seen a bigger gap between ibbita
and net income loss. It is quite extreme
and it's it's it's a little railway
railway like what what do what do you
make of uh just I mean core's massive
massive borrowings?
>> Yes, it's heavily indebted. Um
there is in every cycle one or two or
maybe a handful outliers. Look, I'm not
worried about like Facebook and Alphabet
or Amazon going bust.
>> Yeah.
>> Uh, you know, they they Yeah. If they
take all these liabilities on balance
sheet, like it's not great for
investors. Uh, I worry about the the
financial hangover, but like it is
fundamentally different in that this is
not the error. These companies do have
solid real products and they're just
shoveling all that money and a bit extra
into AI. And even if AI somehow goes to
zero or nothing happens, I think it's
manageable. It's okay. But there will be
of course in any cycle a few extreme
outliers that just like borrowed way too
much money, did too many dumb things.
We're kind of too invested in this or
didn't have any other products or or
fallbacks. Essentially, people are still
going to be going on YouTube uh even if
Google wastes a few hundred billion
dollars on on on AI data centers. uh and
that's going to save them with a
coreweave or some of these other
companies. Do they have that backup? I
mean, maybe crypto mining, I don't know,
but
I'd worry about those essentially uh
more than I do uh the big hyperscalers.
There are a few of the hyperscalers that
look a little bit diceier, but uh
broadly speaking, they're probably
probably okay. Yeah, you uh perhaps
referring to Oracle definitely the most
indebted relative to to its its revenue.
>> Yeah, Oracle in a hyperscaler terms
there's the rest and then Oracle. Oracle
is not like a tiny bad company or
anything like that, but it's just it's
not doesn't have nearly the financial
and corporate heft of the others. And
you know, it's clearly the weakest of
the of the litter.
>> How long do you think this capex bubble
burst? You know, I I think we all know
that this is not going to be infinite.
Trees don't go to the sky. There will
be, you know, a bust a correction. Like,
do do you think it, you know, it's going
to be soon or in a few years?
>> I I mean, obviously, I have no clue.
>> People signing the check don't know.
Yeah.
>> Yeah. It's it's like you say, trees
don't grow to the sky. Capex bubbles can
continue for a long time until it
becomes very obviously unmanageable. Uh
right now there are a lot of people in
that industry and this is maybe both
what worries me but also can keep the
show going for a lot longer. There are a
lot of people now with a vested interest
in keeping this going like that that AI
industry has become remarkably
incestuous
with just an incredible tangle of
financing agreements, co-investments,
supplier and customer relationships that
kind of bind it all together but also
can kind of keep things going for a long
time. they all have an interest in kind
of managing this and that makes me
worried about what the Den Moore funding
looks like. Um, but it also means it can
continue for a while longer. And then it
I guess you know the the chicken answer
it just comes down to the technology
like to what extent AI genuinely is
transformative. Is it glorified chat
bots or is it going to cure cancer? Is
it, you know, going to put, you know,
people in Mars? And, you know, where we
fall on that spectrum is probably what's
going to decide uh just how much those
investments pay off. But the scale is is
pretty astonishing now.
Okay. So, as as someone who is a
journalist and is talking to people all
the time and is very well informed,
what are you hearing about how the
revenue is at OpenAI and Anthropic? I
think that literally like over half of
what matters is is that is that topic.
Are are you are you hearing good things
or bad things or medium things?
>> So I haven't spoken to anybody directly
about uh the revenues at OpenAI and
Anthropic. So I only know what my
colleagues have have reported uh in the
paper. Uh I think I think it's broadly
understood that anthropic looks
financially a lot healthier than OpenAI.
Um and that's one of the reasons why
they're probably going a little bit more
aggressively for an IPO now.
Um
but I'd question with private companies
how real sometimes revenue is and not
like fending numbers but just like I
mean if you just look at the the net
income of some of the hypers the public
companies now look at how much is
actually classified as other income
which is essentially revaluations of
their investments like yes
>> a lot of the money that Microsoft and
Google and Amazon have
are basically marking up the value of
their stakes in anthropic, open AAI and
SpaceX and other companies. Uh if you
take that away, then some of those
earnings look a little bit not bad, but
definitely not as good.
>> Yes.
>> Uh and with like OpenAI and revenue, how
much of that is actually cash like free
cash by rules, everything? And you know,
until I've seen the accounts, I don't
know. Even when we've seen the accounts,
sometimes it's hard to know. Uh, but I
can tell you I'm really looking forward
to the S1's for OpenAI and Anthropic.
That's gonna be a popcorn moment for me.
>> Definitely. Robin, how durable do you
think the credit raging agencies are?
So, Moody's, S&P, Fitch, the former two,
which are are publicly traded companies
and up until recently were viewed by,
you know, the Compound Bros, the hedge
funds as these extremely durable
businesses. Their valuations have fallen
a lot because, oh, AI could displace
them. I just wonder, you having spent so
much time researching and doing and and
and writing this this book, just your
insight on the value or lack thereof,
like is just just a sticker that really
isn't that valuable um you know, over
time? Like do you think in there's a
giant credit cycle, are people going to
be like, "Oh my god, I need my Moody's
rating before I buy it."
>> So that's a great question actually and
uh because I I spent a lot of time, a
depressing amount of time uh writing the
book thinking about this. There's an
entire chap just on the history of the
rating agencies and it is kind of weird
like how many cowpies they've stepped in
over the years and and how they endure
and I think I think that's the secret to
answering your question that yes I don't
know about 2070 that's a long way off
but I think people will be shocked at
the resiliency of their business model
because people don't actually pay S&P
and Moody's and Fitch for their credit
work. It's not like if you're the CIO of
PIMCO and you sit there, well, I'm I'm
going to look at what Moody's says about
this bond. I mean, you care about the
rating agent uh the rating, but you
know, for for investment mandate
reasons. Uh but the credit work you do
yourself and that's clearly like with AI
like a lot of that is happening. A lot
of that happened before the current
excitement about large language models
like I've been covering AI for I mean
before it was cool you know natural
language processing and machine learning
I used to cover quants all the time uh
and it was fascinating to see how people
were learning to you know automate the
ripping apart of a credit perspectus and
putting their end your own models and
then automating all that. Uh and this
was 10 years ago. Uh but the rating
matters not as because of like you want
Moody's to tell you what to think of
this investment because they famously
don't try to give investment advice.
They just give a probability of default.
The Moody's rate I mean the Moody the
credit rating agency ratings are a lot
better than people think. Like there are
outliers when people say well this
company was rated a half a year ago and
it went bust. But they are they are
highlighted because they're actually
pretty rare. Broadly speaking, the the
letterbased model as a signify of s
chance of default is actually pretty
accurate. Like even the financial
crisis, all those shoddy securitized
monstrosities that were given AAA
ratings. Well, actually even quite a lot
of the AAA tranches ended up being money
good. they traded down maybe to 20 cents
on the dollar, but a lot of those
actually were pretty okay.
>> Uh, and AAA companies, AAA governments,
you know, tend to, there aren't that
many of them around these days, but it
it tends to work. And I think the reason
why the rating agencies actually endure,
will continue to endure is because this
phrase I once came across somebody in
the industry use, but he talked about
like the need for a language of credit
like we need shortand. We're humans. We
we both very smart and very stupid at
the same time. And we like these
shortorthands. We like rules of thumb.
We like simplistic models. And it's just
nice to have something like this is a
single B, that's a double A, that's a
triple C. And the reason why the rating
agencies despite having like very
different, they talk up all their
difference, they still have basically
the same letters as well. And that's
because it gives us a cohesive language
to talk about credit. And sometimes it's
wrong. Like all language can be, all
models don't work. You know, it's just
like um there's a famous British
statistician who said that all models
are wrong, but some are useful. The
rating agency models are not as wrong as
people think and it's still pretty
useful. And as much as you can automate
all sorts of cool with AI, I think
that will endure and and the craving for
just a brand, a name like Amoody's or an
S&P uh is is going to stay there. And in
fact, in places like the United States
is enshrined in law. Uh despite all the
controversy around the financial crisis,
you know, the nationally recognized
rating agency designation is is still
there. It's still in the books. And
that's why, you know, it's kind of one
of the most stubborn oligopies in the
history of business probably.
>> And if you're an insurance company
buying something, you h you you have to
buy something, a certain percentage of
your assets have to be investment grade,
even if the rating is totally wrong. And
also, I think of the the Charlie Mer um
anecdote about how he was in World War
II. And I think he was he was tracking
the weather and he ultimately was saying
to his superior like, "Hey, my forecasts
are really bad. You I shouldn't you
shouldn't be asking me for these
forecasts." And that the military people
said, "We need these forecasts for our
military planning." So even though the
forecasts are wrong, we still need them.
>> We still need them. We still need
something like that. Yeah. I mean, it's
like so many things in finance that look
weird. I mean, in the world really, they
look weird or dumb or or dangerous. is
quite often like you still come to this
kind of well if it didn't exist we'd
have to invent it. Ratings
as weird and dumb as they sometimes can
seem we still need something like that
and if they didn't exist we'd have to
reinvent them all over again. Uh the
insurance issue is quite interesting
drawing back to private credit there of
course there is always a danger of
shopping around for the greatest rating
and broadly speaking the big three have
done a pretty good job over time. not
always but over time to as much as you
know they could be a little bit more uh
commercial let's say certainly before
the financial crisis broadly speaking
not letting the standards arose too
comically far but clearly there I I I do
worry about so-called private label
credits that insurance companies are are
getting on private credit loans uh and
saying they're investment grade when
really the reality is I suspect a lot uh
iffier.
>> What does an investment grade private
loan really really mean?
>> Uh I think most of the big serious uh um
insurance companies are very aware of
this issue and are aware of it and if
they do use private label label credit
ratings um that they take it with a
pinch of salt or they know the the
issues they be dragons maybe. Uh but
there are also a lot of private uh
insurance companies that are owned by
private equity.
>> Yes.
>> And those private equity insurers
companies sometimes own also some of
these private label companies. And I do
worry about that they the the tangled
private capital ecosystem of private
credit, private equity, private ratings
and private equity in owned insurance
companies. I think that is something
that could at some point bear watching
as well. Have you looked into these
things called funding agreementbacked
notes?
>> No, but it sounds amazing. Tell me more.
>> It is basically when an insurance
company, probably a like a life
insurance company
issues debt, but the debt that they're
issuing, they can call it a policy, a
life a life insurance policy.
>> Yeah.
>> Yes. No, actually, I do remember reading
about this and I was delighted to learn
about it.
It shows that there is nothing more
creative on this planet as a financial
engineer who wants to optimize risk and
reward and game the system to do so. Um,
is it you know
one of the the dangers of of my job
journalism and and your job and I guess
everybody's job is that that we we look
very much backwards and it's always
cooler to seem pessimistic and and cool.
or this is the next big thing and this
is the next co or whatever.
>> And you know, luckily those kind of
crashes like 2008, they don't happen
very often. Uh I actually have like
literally on in front of my desk, I have
a little cartoon that shows it's from
2008 that shows like somebody going onto
an airline and the captain comes across
the tano saying, "Oh, you know, there's
a bit of turbulence. Uh buckle up." And
there's a passenger who screams, "Oh my
god, we're all going to die." And the
passenger next to him says, "Look, just
it's a financial journalist. Don't
worry." He's just panicking. And I just
have it there in front of my desk to
remind myself and not always thinking
everything is the next 2008. Not
everything is a big crisis. Uh so these
these notes, look, I think it's the
optics are bad. The fundamentals are
probably not great. Is it going to be a
disaster? Probably not because, you
know, Yeah.
It might be bad, but you know, we can't
have reward without risk. You can't make
money without losing money. That's kind
of what keeps the the train on the
roads. And you know, people sometimes
create stupid things, invent new things,
game the rules, and they get their faces
ripped off. It blows up in the next
downturn. Uh but the good inventions,
they survive and they evolve and they
thrive. I mean, securitization is one of
them. Securization was a a dirty word
not that long ago, like I just a few
years ago. And now we're looking, even
the Europeans are talking about it like,
"Oh my god, we wish we had America's
mortgage back security market. Oh my
god, that would be amazing." And I
remember when even American politicians
were were badmouthing it. Um, stupid
things happened in 2008, but we learned
from it. And you know, at some point,
um, we'll realize what was really stupid
that we're doing right now, what was
actually just fine and what was just
moderately stupid. Uh, and then I get to
write a book about it a few years after
that. So, you know, it's all it's all
gravy for me as a financial journalist.
>> People should buy the book, A Fabulous
Debt, the Epic Story of How Bonds Built
the Modern World. Buy it for yourself.
Buy it for your your kid. buy for your
parents, grandparents. Thanks so much.
>> No, thanks for having me on, Jack.
>> Thank you. Just close the door.
Ask follow-up questions or revisit key timestamps.
Robin Wigglesworth, editor of FT Alphaville and author of 'A Fabulous Debt', discusses the massive surge in off-balance sheet leverage used by major tech companies ('hyperscalers') to finance AI infrastructure. He compares the current 'capex mania' to historical debt-fueled cycles, such as the 19th-century railway boom. Wigglesworth analyzes how these companies use creative structures like off-balance sheet leases to manage optics, explores the rise of the private credit asset class, and reflects on why financial crises, while painful, are often part of a necessary evolution in capital markets.
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