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To Save the Economy... We’re About to Break It

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To Save the Economy... We’re About to Break It

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384 segments

0:00

Last week, the Federal Reserve raised

0:01

interest rates for the first time in

0:03

three years. The decision was unanimous.

0:05

The tally was 12 to nothing. But not

0:08

even seven weeks earlier, that exact

0:10

same room couldn't agree on anything. At

0:12

the previous July meeting, the Federal

0:14

Open Market Committee's vote came back 9

0:16

to3. And not in the direction you'd

0:18

think. Nine officials voted to leave

0:20

rates alone. Three voted to raise them,

0:23

which means 3/4 of the committee was

0:25

against the rate hikes back in July. But

0:27

by September, not a single person was.

0:30

So what changed? The Fed chair, Kevin

0:32

Worsh, explained it at the press

0:34

conference. The inflation numbers that

0:36

came in over the summer showed that

0:37

inflation, quote, was not abating on its

0:40

own, and monetary policy was not doing

0:42

enough to restrain excess demand. In

0:44

plain English, inflation won't go away,

0:46

and rates aren't high enough to slow

0:48

spending, which also gave the bond

0:50

market the validation it's been looking

0:51

for. The 10-year Treasury, the rate

0:54

almost every other interest rate on

0:55

Earth gets priced off of, closed above

0:58

5%, hitting the highest level since

1:00

2007. Since 1965, the Federal Reserve

1:04

has run 11 tightening cycles. The

1:06

smallest raised rates by 1 and 3/4

1:09

percentage points, the biggest 13. The

1:11

typical one ran about a year and a half

1:13

and added close to 4%. Only one of these

1:16

tightening cycles stopped at just one

1:18

hike, as in they raised rates once, had

1:20

a look around, and said, "That's

1:22

enough." It was in March 1997. Alan

1:25

Greenspan raised rates a single time,

1:27

decided that was plenty, and was back to

1:29

cutting them 18 months later, which is

1:31

basically what the Fed is telling us

1:33

right now. In its own projections, 16 of

1:36

18 officials have at least one more hike

1:38

pencled in before the end of the year.

1:40

The day before the meeting, the

1:42

conference board's senior US economist

1:44

put out a brief and the title of it was

1:47

more inflation coming. The Fed rarely

1:49

stops after one move. She's forecasting

1:51

three in a row, September, October,

1:54

December. Researchers at the New York

1:56

Fed went back and counted 14 tightening

1:59

cycles between 1955 and 2009. Of those

2:03

14 cycles, 10 were followed by a

2:05

recession within 18 months of the final

2:07

hike. Then of the remaining four, one of

2:09

them led to a jump in unemployment and a

2:11

credit crunch that plenty of economists,

2:13

including Nobel Prize winner Milton

2:15

Freriedman, still count as a recession,

2:18

which leaves three times where we

2:19

achieved the highly coveted soft

2:21

landing. Three times in 50 years where

2:24

America raised interest rates without

2:26

up the economy. So, it's not

2:28

necessarily the number that matters

2:30

here. It's what one of these cycles does

2:32

once it gets going. It's about where

2:33

these cycles land in the economy once

2:35

they get started. For most of the last

2:37

70 years, a rate hike got to you through

2:40

a clear door. Mortgage rates went up.

2:42

Buying a house cost more, so fewer

2:44

people bought one. Refinancing stopped

2:46

making sense. Builders slowed down.

2:48

People spent less. And the economy

2:50

cooled off. Since the end of the Second

2:52

World War, housing was the single most

2:54

direct lever the Federal Reserve had.

2:56

But that lever is breaking. Only about

2:58

40% of American households have a

3:00

mortgage at all. And of the ones that

3:02

do, 78% are locked in below 6%.

3:05

Twothirds are below five, half are

3:07

sitting under 4%. Which means if you've

3:10

got a 4% mortgage and today's rates sit

3:12

near seven, you're not even going to

3:14

consider selling. The Fed's own report

3:16

to Congress in July has a name for this,

3:18

a rate lock, which is a fancy way of

3:20

saying people looked at today's mortgage

3:22

rates, then at the mortgage rate they

3:24

already have, and decided they're never

3:25

moving again. And you can see this in

3:27

the sales data. Existing homes are

3:29

selling at a pace of about 4 million a

3:31

year. The 15-year average is closer to

3:33

5. Last year was the slowest year since

3:36

1995, which means the housing market is

3:38

already frozen. There isn't much left

3:40

that a rate hike can slow down. So, if

3:42

the Fed's favorite break lever isn't

3:44

working anymore, where do these rate

3:46

hikes land? Well, Fed Chair Kevin Walsh

3:48

answered that himself 19 days before he

3:51

raised rates. He said, "Everexpanding

3:53

pools of capital are pouring into AI

3:55

related infrastructure of all sorts."

3:57

That's the chairman of the Federal

3:58

Reserve pointing straight at the data

4:00

centers. So, how much money are we

4:02

actually talking about? Well, JP Morgan

4:04

estimates that the global data center

4:06

buildout could cost roughly $5 trillion

4:09

through 2030. A finance professor at

4:11

Colombia ran the numbers on just the

4:13

American side of the AI buildout. If it

4:16

gets built the way it's planned, it runs

4:17

at roughly 2.8% of everything America

4:20

produces every year through 2032. For

4:23

context, in the 1800s, building every

4:26

railroad in America ran at about 2 and

4:28

a.5% of the economy, wiring the entire

4:31

country for electricity, about 1%. The

4:33

construction of the interstate highway

4:35

system about 1 and a half. So this is

4:37

the biggest thing America has ever

4:39

built. And the tech companies at the

4:40

center of this are the most profitable

4:42

companies that have ever existed. So the

4:45

reasonable assumption is that they're

4:46

paying for it themselves. But they're

4:48

not. The operating cash flows, selling

4:51

stock, and everything they can generate

4:53

on their own, all of it together, covers

4:55

roughly a quarter of the $5.5 trillion.

4:58

JP Morgan expects the other 4 trillion

5:00

to be borrowed. So where do you go when

5:02

you need to find $4 trillion? If you

5:05

were thinking Nancy Pelosy's trading

5:06

account, you'd be right. But these

5:08

companies decided to look somewhere

5:10

else, the bond market. From 2020 through

5:13

2024, the five tech companies in the

5:15

middle of the AI bubble issued about $35

5:18

billion of bonds a year. In 2025, 93

5:22

billion. And by the end of July this

5:23

year, 7 months into the year, they're

5:26

already at 132 billion. A risk advisory

5:29

firm called Chadam Financial puts this

5:32

year's AI infrastructure spend at more

5:34

than $830 billion. It comes out to about

5:37

half the volume of the entire American

5:40

investment grade bond market. 2/3 of

5:42

every leveraged loan and significantly

5:44

more than the entire high yield bond

5:46

market put together. It's a handful of

5:48

companies in one industry trying to fit

5:51

through every door in the credit market

5:52

at the same time. And the numbers are

5:54

only getting bigger. Vanguard has

5:56

capital spending at these companies

5:58

above a trillion dollars a year over the

6:00

next 3 years. So the buildout isn't a

6:02

check somebody writes. It's a standing

6:04

appointment with the bond market every

6:06

year for the rest of the decade. Which

6:08

means the price of money isn't a detail

6:10

in this story. It's the entire story.

6:12

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7:25

how one small change in the price of

7:27

money could wreck havoc on the biggest

7:28

buildout in history. When a company

7:30

sells bonds, it pays whatever the

7:32

government pays to borrow, plus a little

7:34

extra on top. That extra is called the

7:37

spread. It's the market's way of saying

7:39

how nervous it is about you paying the

7:41

money back. This year, the spread on

7:43

those five companies widened by about 30

7:45

basis points. The rest of the investment

7:47

grade market widened by just two, so 15

7:50

times the move on some of the most

7:52

profitable companies in history. That's

7:54

the best of the best in the market. Go

7:56

down the stack and it's not as polite.

7:58

The debt that funds the actual data

8:00

center projects prices about 100 basis

8:02

points wider than those companies own

8:04

bonds. About 200 wider once you're down

8:06

in junk territory. And near the bottom

8:08

of the stack, it gets ugly. A few months

8:10

ago, Cororeweave, one of the companies

8:12

that rents out GPUs to everyone else,

8:15

had a $2.6 billion loan out for

8:17

syndication. Halfway through, the lender

8:20

sent it back. The interest rate

8:21

increased by a full point. And then came

8:23

the conditions. The loan has to be paid

8:26

down in full over its life. No big lump

8:28

sum at the end. A coverage test which

8:30

says the cash coming in has to beat the

8:33

debt payments going out by a set margin.

8:35

And a minimum cash balance, which is all

8:37

just the long way of saying the lenders

8:39

want to make sure there's still money

8:41

when it's their turn to get paid. It

8:43

ended up clearing at 10.4%.

8:45

Over a year, Cororeweave's interest bill

8:47

went from $267 million a quarter to 640.

8:52

In the second quarter, interest alone

8:54

ate 42 cents of every dollar of adjusted

8:56

earnings. That's the bottom of the AI

8:58

market repricing in real time while the

9:00

thing is still being built. Which brings

9:02

us to the question nobody in this

9:04

industry wants to say out loud. At what

9:06

price does this stop being worth doing?

9:08

A compute pricing firm called Mercatis

9:11

actually modeled it. They ran a single

9:13

GPU cluster at different costs of

9:15

capital. At 6% it clears comfortably. At

9:18

10, it barely clears. At 12, the whole

9:21

thing goes underwater. The break even

9:23

sits somewhere around 11%. Mercatus also

9:26

breaks the buyers down by their cost of

9:28

capital. Established companies with

9:30

investment grade balance sheets are

9:32

paying 6 to 8% on new deals. Late stage

9:35

AI companies with strong revenue 10 to

9:37

14%. Earlier stage venture-backed AI

9:40

companies 15 to 20, meaning the top of

9:43

the market clears the break even, the

9:44

middle is standing right on the break

9:46

even line and the bottom is already

9:48

underwater. And this is a price that's

9:50

also now rising. A borrowing cost isn't

9:52

something you pay once. It's more like

9:54

rent. It resets. And it resets two ways.

9:57

The first one is fast. A lot of the debt

9:59

at the bottom of this market floats.

10:01

That corewave loan is priced off an

10:03

overnight rate that moves with the Fed

10:05

plus 5 1/2 points. Allin that's nearly

10:08

10 1/2%. So when the Fed raised rates

10:11

last week, that loan got more expensive

10:13

before the next payment was even due.

10:15

The second one is slow and structural.

10:17

The bonds at the top of the market are

10:19

fixed, but every loan matures. Every

10:21

bond comes due, and when it does, almost

10:24

nobody pays it off. They roll it over

10:26

and borrow it again at whatever the

10:28

market is charging that morning. So, a

10:30

company that borrowed at a cheaper rate

10:32

a few years ago isn't going to get the

10:34

same rate when it hits the markets

10:35

looking for new debt. The average

10:37

tightening cycle since 1983 added more

10:40

than 3 percentage points. 16 of 18 Fed

10:43

officials see at least one more rate

10:45

hike this year. The Conference Board

10:47

sees three. And you can't borrow all

10:49

this money at once. This isn't an

10:51

industry that's borrowing on a one-time

10:52

basis, which means the largest capital

10:54

investment in American history is about

10:56

to have to start paying more for the

10:58

debt it once. This is what makes this

11:00

tightening cycle different from everyone

11:02

before it. In the past, a hike mostly

11:04

landed on the demand side. The

11:06

mortgages, the credit card balances, the

11:08

car loans, the boring consumer stuff.

11:11

This time the biggest impact lands on

11:13

the supply side on companies carrying

11:15

enormous debt loads trying to build the

11:17

future. That's the part people get wrong

11:19

about a rate hike. For most borrowers,

11:21

it doesn't break anything the day it

11:23

lands. It breaks things later on when

11:25

somebody has to go back for more money

11:26

and that money costs more than it did

11:28

last time. We're seeing massive demand

11:30

for debt and a rate cycle that's just

11:32

getting started running at each other

11:34

full speed like they're doing the

11:36

Oklahoma drill. And I know what a lot of

11:38

you are thinking right now. let the AI

11:40

companies burn to the ground. But the

11:41

problem is the damage doesn't stay

11:44

inside the industry. Apollo's chief

11:46

economist has been tracking data center

11:48

spending as a share of the economy.

11:50

Right now it's growing by about 0.85

11:52

percentage points of GDP a year. The

11:55

fastest stretch of the housing boom from

11:56

2002 to 2005 grew at half a point a

12:00

year. The telecom buildout of the '90s

12:02

just 1500s of a point. So the AI

12:04

buildout is being built roughly twice as

12:06

fast as the housing bubble was. And we

12:08

all remember how that one ended. AI

12:10

isn't just growing fast. It is the

12:12

growth in the economy. This year, AI

12:15

capex will be a nearly 1.5 percentage

12:17

point boost to United States economic

12:19

growth. Private data center construction

12:21

is now running at 75 billion a year, up

12:25

57% in one year, more than doubled in

12:27

two. Census Bureau data now shows

12:30

America spends more building data

12:32

centers than it spends building

12:33

conventional office buildings. The good

12:35

news is nothing's broken yet. Nobody's

12:37

pulling back spending. Nothing has

12:39

stopped moving. But the absence of

12:41

damage is also not evidence of safety.

12:43

JP Morgan went back 20 years and plotted

12:46

what the big five tech companies do with

12:48

every dollar of revenue. In all that

12:50

time, capital spending never took more

12:52

than 13. This year, it will take 41,

12:55

which is almost every cent the

12:56

businesses bring in. For the first time

12:58

on the chart, free cash flow goes

13:00

negative, which means every year going

13:02

forward, the amount that has to be

13:04

financed by debt goes up and the rate it

13:06

gets financed at goes up with it. That's

13:09

where the dots actually connect for this

13:11

recent rate hike decision. It's the kind

13:13

of detail that often gets left out of

13:14

traditional media because it doesn't fit

13:16

into an easy to package, easy to sell

13:18

headline. So, if you find this kind of

13:20

thing interesting, hit subscribe because

13:22

you're probably going to keep hearing

13:23

the same story about the Fed raising

13:25

interest rates by a quarter of a point.

13:27

But that's not the real story. The real

13:29

story is that the largest buildout in

13:31

history, the one propping up the

13:33

economy, still has to keep going back to

13:35

the market for more money for the

13:36

foreseeable future. And every one of

13:38

those trips is going to cost more than

13:40

the last one.

Interactive Summary

The video analyzes how the Federal Reserve's interest rate hikes, traditionally aimed at cooling the housing market, are now uniquely impacting the supply side of the economy—specifically the unprecedented $5 trillion AI infrastructure buildout. As tech companies heavily rely on debt to finance this massive expansion, they become increasingly vulnerable to rising borrowing costs. The analysis warns that this reliance on continuous debt financing, coupled with a tightening monetary policy, creates a significant risk, as the AI sector has become a major driver of current U.S. economic growth, similar in scale and speed to historical bubbles.

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