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AI’s Achilles’ Heel: Why Everything Hinges on Anthropic & OpenAI | The Weekly Wrap

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AI’s Achilles’ Heel: Why Everything Hinges on Anthropic & OpenAI | The Weekly Wrap

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779 segments

0:00

In war news, President Trump announced

0:02

that he would not resume bombing, but

0:04

would instead rely on economic pressure.

0:06

And this conflict is going to continue,

0:08

[music] I think, for quite some time.

0:10

Despite all the doom and gloom out

0:12

there, the market is back to all-time

0:14

highs. There are, however, many

0:16

commentators calling for a crash.

0:18

Tension levels are running very high.

0:20

The dependency of the hyperscalers on

0:22

Anthropic and OpenAI is just huge

0:24

[music] and quite scary. Should

0:25

Anthropic and OpenAI fail, the margins

0:28

of the hyperscalers will compress and

0:30

business will return to slower growth.

0:32

The [music] entire AI chain goes into

0:33

reverse. This is the potential Achilles'

0:36

heel of AI. That is what I am watching

0:38

most carefully.

0:41

>> [music]

0:49

>> Hi, this is Steve Eisman and welcome to

0:51

another episode of the weekly wrap. This

0:53

is for the week ending Friday, August

0:55

14th, but recorded Thursday night,

0:57

August 13th. First, couple of

0:59

housekeeping announcements. We are

1:01

taking a 2-week break after this Monday

1:03

interview, August 17, with Jason

1:06

Trennert and Christopher Verrone of

1:08

Strategas. The wrap will also be on a

1:11

2-week break and resume Friday,

1:13

September 4th. Interviews resume on

1:16

Monday, September 7, with a deep dive

1:19

into property and casualty insurance

1:21

with Ryan Tunnis from Cantor. Note that

1:24

Wednesday premium episodes will continue

1:27

without a break. Just want to flag that

1:30

on premium, we will be dropping a

1:32

two-part masterclass called how to

1:34

analyze banks after Labor Day. I do a

1:38

deep dive into everything you need to

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know and understand about bank

1:42

accounting and bank functionality. With

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banks playing an opaque role in private

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credit and the massive AI build-out,

1:49

understanding the quarterly earnings

1:51

announcements is critical. And this

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find the message hidden in the numbers.

1:58

A quick update on premium pricing on

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Substack. Starting Labor Day, September

2:03

7th, premium for new subscribers will

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cost $20 a month and $200 a year.

2:10

However, all current subscribers,

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monthly and annual, are completely

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locked in at the existing price for as

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reminder, premium subscribers get all

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Subscribe now before Labor Day and lock

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in today's rate. And now for the wrap.

2:34

Since this is a slow week for earnings,

2:36

it's a good time to give some thoughts

2:38

on investing strategy and business

2:40

strategy, the role of Upstarts, and of

2:43

course AI, and why Bitcoin is no longer

2:45

cool. So, on this week's wrap, we will

2:47

cover number one, the war in Iran. Two,

2:50

investing now. Uncertain times require

2:53

patience, not hysteria. Three, AI

2:56

check-in. Four, timing is everything.

2:59

Five, a check-in on software. Six, a few

3:03

earnings reports. And seven, my thoughts

3:06

on entrenched businesses versus Upstarts

3:09

and how they interact and why the

3:11

winners win and the losers lose. In war

3:14

news, negotiations have broken down.

3:17

However, President Trump announced that

3:19

he would not resume bombing, but would

3:22

instead rely on economic pressure. Now,

3:24

last Wednesday, August 12th, on our

3:26

premium Substack service, we interviewed

3:28

Stephen Cook of the Council of Foreign

3:31

Relations, who is a Middle East expert.

3:34

And after speaking to Stephen, I have to

3:36

conclude that a strategy relying solely

3:39

on economic pressure will have

3:40

difficulty succeeding. The Iranian

3:43

regime does not care if its people

3:45

suffer. They care about the regime

3:47

survival. And this conflict is going to

3:49

continue, I think, for quite some time.

3:52

But, as long as there's no bombing, the

3:54

market will probably march higher. Since

3:56

it's close to the end of summer, let's

3:58

take a step back and discuss some things

4:00

beyond the craziness of earning season.

4:03

Let's first pivot to investing in times

4:05

of deep uncertainty and start with the

4:08

market and the role of AI. Despite all

4:11

the doom and gloom out there, the market

4:13

is back to all-time highs. The S&P is up

4:15

13% and Nasdaq is up 14% for the year.

4:19

There are, however, many commentators

4:21

calling for a crash. Tension levels are

4:24

running very high. A few months ago, I

4:27

too got cautious and sold some of my

4:29

positions, but I'm still quite long. I

4:31

just think it is premature to make that

4:35

kind of a major market doom and gloom

4:37

call. Why? Well, let's go back to the

4:39

pre-GFC world. Back then, my research

4:43

revealed that the mortgage underwriting

4:44

standards had deteriorated enormously.

4:47

But, I also had access to an enormous

4:50

database that could confirm or not

4:53

confirm that thesis. My team and I

4:55

purchased access to Moody's

4:57

securitization database. Every month,

5:00

every securitization, credit cards,

5:02

subprime mortgages, autos, commercial

5:04

real estate, etc. reported their credit

5:07

data. Every month, each securitization

5:10

reported 30-day, 60-day, 90-day

5:12

delinquencies and real estate owned and

5:14

losses. It was and still is an

5:17

incredibly rich and robust data set. And

5:20

starting in the summer of 2006,

5:23

the credit data started to deteriorate

5:26

very badly. And every month we would

5:28

check the data and every month it

5:30

reaffirmed our thesis. That's what gave

5:33

me the confidence to short subprime

5:35

paper. There is no such data set with

5:38

respect to AI. When OpenAI and Anthropic

5:41

go public, we will have some real data.

5:44

Until then, we have supposition. Relying

5:47

on supposition is by definition

5:49

uncertain. And uncertainty is

5:52

uncomfortable. My message to investors

5:54

is today need to deal with it. Stop

5:56

rushing to call the top or the bottom.

5:58

Accept that we don't have enough

6:00

information to make the exact right

6:02

calls and work with the information that

6:04

we do have. Right now, what do we know?

6:07

The economy is quite strong. Despite

6:09

last week's weak employment data, the

6:11

overall employment picture is still

6:13

quite sound. The economy is growing.

6:16

Bank credit data just reported mid-July

6:19

is benign. And with respect to AI,

6:21

hyperscalers continue to increase their

6:23

CapEx budgets. And this week, the big

6:26

news was Nvidia created a new financing

6:28

technique for AI data centers. Nvidia is

6:31

partnering with six large asset managers

6:33

on a $500 billion financing push

6:36

designed to treat compute infrastructure

6:39

much like the commercial real estate

6:40

toll roads or other assets you can

6:42

borrow against. Now, this is not a brand

6:44

new concept. It's a tried-and-true way

6:46

to create a financial infrastructure to

6:48

support a CapEx-hungry growth industry.

6:51

AI is here and it's going to grow and

6:53

it's going to need financing. So,

6:55

picking the winners and losers is a

6:57

challenge. Predicting total disaster is

6:59

just too emotionally tempting. Now, this

7:02

Nvidia deal is potentially very

7:03

important. This is a $500 billion

7:05

financing deal basically of AI data

7:08

centers. And the structure, while

7:10

unclear, I'm assuming will involve

7:12

securitizations. So, what does this

7:14

mean? Until now, AI data centers have

7:16

been financed by the cash flow and debt

7:19

raised by hyperscalers. Now, some of

7:21

that financing will be done via

7:23

securitizations financed by major Wall

7:25

Street firms. It means that hyperscaler

7:28

free cash flow could, I emphasize could,

7:31

improve. It also creates a boost in

7:33

revenue for the banks and private credit

7:35

companies that are participating. Since

7:37

this new deal shows that there is as yet

7:39

no slowdown in AI CapEx, To understand

7:43

where the weakness in AI may lie, we

7:45

need to dig deeper. The hyperscalers, at

7:48

least on the surface, are not the

7:50

problem. The LLM providers are the

7:53

potential problem, specifically

7:55

Anthropic and OpenAI. There just don't

7:57

seem to be any motes around LLMs. Users

8:00

switch between models all the time.

8:02

Perhaps more importantly, the Chinese

8:05

LLMs are open-weight models that are

8:07

much cheaper than the LLMs provided by

8:10

Anthropic and OpenAI. And enterprises

8:13

seem to be using the Chinese models more

8:15

and more. Overcharging for tokens is

8:18

going to be very difficult with good

8:20

enough competition. And Chinese AI seems

8:23

to be good enough. It is possible, I

8:25

emphasize, possible, that a price war

8:28

could break out. The reason this is

8:30

important is that Anthropic and OpenAI

8:32

account for a very large percentage of

8:34

hyperscaler AI revenue. Several research

8:37

firms have put out reports estimating

8:40

the contribution level of Anthropic and

8:42

OpenAI to Microsoft, Amazon, and Google.

8:45

These reports state that 70%

8:49

of hyperscaler AI revenue, AI revenue,

8:52

is from Anthropic and OpenAI, and 25 to

8:56

35% of total cloud revenue. Also, Oracle

9:00

has a $600 billion backlog, and half

9:03

that backlog is from OpenAI alone. The

9:06

dependency of the hyperscalers on

9:08

Anthropic and OpenAI is just huge and

9:10

quite scary, given that both companies

9:13

lose billions and are reliant at this

9:16

point on raising capital for their

9:18

survival. Since the cloud business is an

9:20

ever-increasing percentage of the

9:23

revenue of Google, Amazon, and

9:24

Microsoft, in a sense, the future of

9:27

these companies is now very dependent on

9:29

the future success of Anthropic and

9:32

OpenAI. It feels like a bigger version

9:35

of situational awareness, a huge one-way

9:38

bet. What's the hedge? There is no hedge

9:41

for the LLMs. The hyperscalers have

9:43

existing franchises, though. Should

9:45

Anthropic and OpenAI fail, the margins

9:48

of the hyperscalers will compress and

9:49

business will return to slower growth.

9:51

Anthropic and OpenAI are racing to IPO.

9:55

Again, there is still no data really to

9:57

allow us to accurately measure the risk,

9:59

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12:19

This is the potential Achilles heel of

12:21

AI. If something bad ever happens to

12:24

Anthropic and OpenAI, like a price war,

12:27

the hyperscalers may have to pull back.

12:29

And if they have to pull back, the

12:30

entire AI chain goes into reverse.

12:33

That's the risk. It's an incredibly

12:35

important risk to monitor, and I'm

12:37

monitoring it. But until this Anthropic

12:39

and OpenAI risk metastasizes, the AI

12:42

story will continue. One thing I've

12:44

learned from shorting is that timing is

12:46

everything in investing in markets. This

12:49

bear case of Anthropic and OpenAI could

12:52

occur, but it might occur a year from

12:54

now. And for markets, that is an

12:57

eternity. Winners and losers are

12:59

beginning to emerge. Amongst the big

13:01

companies, Microsoft, Google, and Amazon

13:03

seem to be the hyperscaler winners.

13:05

Oracle is questionable with its debt

13:08

barely rated above junk. Meta is having

13:11

problems. It does not have the cloud

13:13

business that the other hyperscalers

13:15

have. Meta competes in the world of LLMs

13:18

with Anthropic, OpenAI, and the Chinese

13:21

providers. Meta is getting squeezed. For

13:24

example, in its most recent quarter,

13:26

revenue grew 28% but expenses soared

13:29

55%.

13:30

Free cash flow was only 785 billion.

13:33

Moving on, in the world of software, the

13:36

SaaS-pocalypse narrative seems to have

13:38

taken a bit of a of a vacation as

13:40

software stocks have all rallied off the

13:42

bottom. I think that there will be many

13:44

winners and losers. AI will supplant

13:47

those companies that have been lazy in

13:49

investing in their products. Winners

13:51

will be new software companies creating

13:53

AI-focused value add enterprises. The

13:56

existing software companies that update

13:58

their models and provide real value to

14:00

clients should also stay competitive.

14:02

Uncertainty about private credit

14:04

exposure to software is driving a lot of

14:06

fear. We need data and that data will

14:08

emerge soon. Debt refinancing of private

14:12

credit existing software companies that

14:14

are owned by private equity is around

14:16

the corner, sometime next year. This is

14:19

an area I will be spending more and more

14:20

time on with future guests. Moving on to

14:23

earnings. As far as current AI

14:25

conditions go, they remain quite good.

14:27

This week both CoreWeave, the AI data

14:29

center company, and Supermicro reported.

14:32

Now, Supermicro sells servers that go

14:34

into data centers. Its chief competitor

14:36

is Dell. Both companies had good

14:38

results. CoreWeave beat on both the top

14:41

and bottom line. Revenue climbed 112%

14:44

versus last year. However, CoreWeave is

14:47

still an unprofitable company. EPS was a

14:49

loss of about a dollar. The market

14:51

focused on the revenue and the stock was

14:53

up 19% on Wednesday. Also, on the

14:56

conference call, management stated that

14:58

demand and pricing remain very strong.

15:00

Supermicro has had problems executing of

15:03

late. However, this was a good quarter.

15:06

Supermicro reported better revenue and

15:07

EPS and issued strong guidance. Revenue

15:09

was up 91% versus last year. EPS of a

15:13

dollar 70 was up 315%

15:16

versus last year and the stock was up

15:17

19% on Wednesday. The results of

15:20

CoreWeave and Supermicro should not be a

15:22

surprise. As long as the hyperscalers

15:24

keep spending, AI infrastructure players

15:27

like CoreWeave and Supermicro can't help

15:30

but benefit. Again, the potential

15:32

Achilles' heel to the AI story is

15:34

Anthropic and OpenAI. That is what I am

15:37

watching most carefully. Finally, Cisco

15:40

reported and like its competitor Arista,

15:43

Cisco is a big beneficiary of AI data

15:46

centers. EPS was $1.22, up 23% versus

15:50

last year. The company raised both EPS

15:53

and revenue guidance. Again, not a

15:55

surprise, but the stock was down after

15:57

hours as the guidance did not meet the

16:00

whisper numbers. Moving on, I want to

16:02

talk about upstarts and established

16:04

franchises and who wins and who loses

16:05

and why. One way to frame the last few

16:08

decades and AI is a transition of all

16:11

industries from analog to digital. Those

16:13

entrenched companies that make the

16:15

transition successfully survive and live

16:17

to compete with the upstarts. Last week,

16:20

I gave TV recommendation list. Also last

16:23

week, we dropped an interview on premium

16:25

on Substack with Peter Hoffman, a movie

16:28

producer who was involved in some iconic

16:30

films like Terminator 2. This led me to

16:32

think about the massive changes in the

16:34

entertainment industry and whether those

16:36

changes are harbingers for other

16:38

industries. Let's go back to life before

16:41

streaming. Yes, there was a time before

16:44

streaming. Netflix started out as an

16:47

upstart disruptor going after

16:50

Blockbuster. And for you young people

16:52

out there, you're asking, "What's

16:53

Blockbuster?" Well, Blockbuster was a

16:56

massively successful retailer that

16:58

rented DVD movies. The problem was you

17:01

had to leave the house and go get your

17:03

movie. And then you had to return it in

17:05

person. Netflix mailed you the DVD and

17:08

you would mail it back. Simple stuff and

17:11

not really a great business, but kind of

17:13

clever. Here is where it gets even more

17:15

clever. Pre-streaming, Netflix was

17:17

distributing other people's movies via

17:20

DVDs in the mail. They were the

17:22

middleman like a specialty retailer.

17:24

That means low margins and low

17:26

flexibility in pricing. When streaming

17:28

started, Netflix pivoted to an entirely

17:32

different business model. Netflix went

17:34

to all the major entertainment companies

17:36

and offered to buy the rights to their

17:38

old shows that were not currently in

17:41

syndication. The incumbent entertainment

17:43

businesses said yes with glee. This was

17:46

their Titanic moment. They plunged into

17:49

the iceberg confident they had built

17:50

businesses that couldn't sink and boy

17:53

were they wrong. For the incumbents,

17:55

this was found money with 100% margins.

17:59

They would brag on quarterly conference

18:02

calls about how lucrative the Netflix

18:03

relationship was. By the way, Netflix

18:06

launched its streaming service in

18:07

January 2007 just before the great

18:09

financial crisis and Blockbuster

18:12

declared bankruptcy in September 2010.

18:15

Staying home and watching streaming was

18:18

now the new date night. The conduct of

18:21

the incumbent entertainment companies is

18:23

an example of how short-sighted

18:25

managements can sometimes be. CEOs are

18:28

compensated annually. Quarterly and

18:31

annual earnings drive stocks. Stock

18:33

results drive compensation. By selling

18:36

rights to Netflix, the incumbents beat

18:39

their revenue and profitability

18:40

projections. Management got paid. Hooray

18:44

for them. Let me quote something that

18:45

Lennon supposedly once said, and I don't

18:48

mean John Lennon. Lennon said, "We will

18:50

hang the capitalists with the rope they

18:52

will sell us." And that's what the

18:54

entertainment incumbents did. They sold

18:56

a rope to Netflix and Netflix hanged

18:59

them all. First, Netflix built a

19:01

business on old shows. Now they owned

19:04

their merchandise and could price it and

19:06

distribute it as they chose. Then, they

19:08

went into direct competition with the

19:10

big producers and created their own

19:13

shows. The incumbents did not see that

19:15

coming. They thought they owned the

19:17

production market and had motes that

19:19

were too deep to breach. They were wrong

19:22

and slow to adapt to their new

19:23

competition because they had an existing

19:26

high margin entertainment business and

19:29

they feared that migrating to streaming

19:31

would kill margins. And they were right

19:34

about that. Streaming is a lower margin

19:36

business. They chose margin over growth

19:39

and it cost them everything. To preserve

19:41

their margins, they sold their souls and

19:44

eventually lost their businesses. Today,

19:47

Netflix has a market cap of over 300

19:49

billion. The next biggest entertainment

19:51

company market cap is Disney at 178

19:54

billion. Paramount is at a lowly 10

19:56

billion. Warner Brothers is at 69

19:58

billion. Yet not all is great at Netflix

20:00

anymore. The company is very profitable,

20:03

but growth is slowing and growth

20:05

investors don't like investing in

20:07

companies where growth is deteriorating.

20:09

The upstart has grown old and that's why

20:11

the stock is down 21% year-to-date.

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21:27

You deserve mental health care that

21:28

works with you, not against your budget.

21:32

Netflix is just one example of an

21:34

upstart conquering an industry. We've

21:37

seen this time and time again over the

21:39

past 25 years. Amazon conquered retail.

21:42

Bezos started with a business model of

21:44

disrupting Barnes & Noble and other book

21:46

superstores by mailing books from a

21:49

garage. He funded growth with massive

21:51

CapEx and never cared about earnings.

21:53

Investing with Amazon meant changing

21:55

investment models and taking a risk that

21:58

Bezos's vision would pan out, and that

22:00

risk paid off. There are many other

22:03

examples. That's why when an upstart in

22:06

a different industry goes public,

22:07

investors jump on the bandwagon as they

22:10

have seen this movie many, many times

22:12

before. But, not all upstarts are

22:16

created equal. Take Circle, the

22:18

stablecoin company. The company went

22:20

public last summer on June 4, 2025 at

22:23

$30, and it quickly climbed to 240 on

22:28

June 20th, same month. Today, it's 71.

22:31

Why the massive up and why the massive

22:33

down? Circle provides stablecoins as a

22:36

store of value and for payments. Today,

22:39

almost all of its business is in the

22:41

form of a store of value in the crypto

22:43

digital world. For Circle to truly

22:45

succeed, it has to break into the

22:47

payment space. The price of the stock

22:50

soaring to 240 reflects that investors

22:53

assumed it would be easy for Circle to

22:55

conquer the payment space. And in my

22:57

view, those investors could not be more

22:59

wrong. The payment space is notoriously

23:02

difficult to disrupt because Visa and

23:04

MasterCard dominate. Visa and MasterCard

23:07

link billions billions of consumers with

23:10

hundreds of millions of merchants. Go

23:12

recreate that. Since Visa and MasterCard

23:15

went public in the early 2000s, every

23:17

few years upstarts show up claiming they

23:19

are cheaper and will disintermediate

23:22

Visa and MasterCard, and they fail every

23:25

time. Visa and MasterCard are just

23:27

well-run companies. They are not going

23:29

to get complacent like the incumbent

23:31

entertainment companies. Any inroads

23:33

that Circle makes in payments will occur

23:35

by teaming up with Visa and MasterCard,

23:38

not by fighting them. Fighting them is a

23:41

hopeless cause. Circle has a very tough

23:43

road to follow. It's competing with

23:45

giants who are very competent, and it

23:47

only has a market cap of 18 billion.

23:49

Now, I don't think it has the financial

23:51

strength to play this game for too long.

23:54

If I was a CEO, I would try to sell the

23:56

company. Since we've just discussed

23:58

stablecoins, let's now turn to Bitcoin

24:00

and other digital currencies, another

24:02

potential disruptor. My problem with

24:04

Bitcoin is that no one has articulated,

24:07

at least to my satisfaction, an

24:09

investment thesis as to why anyone

24:11

should own the asset class. The most

24:14

frequently cited thesis is that fiat

24:16

currency, which is government currency,

24:18

has been debased, true, and everyone

24:21

should invest in Bitcoin as a hedge

24:23

against that debasement. Maybe. Nice

24:26

theory. The problem with it is that

24:28

Bitcoin acts inversely to that thesis.

24:31

If the thesis was correct, then on days

24:34

where inflation is soaring and Nasdaq is

24:36

collapsing, Bitcoin should be up and

24:38

vice versa. Instead, Bitcoin's

24:40

correlation to Nasdaq has been very

24:42

high. High until recently, when it has

24:46

just been underperforming. I fail to see

24:48

the point of owning Bitcoin. The fact

24:51

that it generally tracks the Nasdaq is

24:53

the clearest indicator that there really

24:55

is no thesis. It's not a disruptor yet.

24:58

Maybe one day. Year-to-date, Bitcoin is

25:00

down 27% over the past 12 months. It has

25:04

declined 46%. Also, I think something

25:07

else is going on here. Bitcoin used to

25:09

be cool. Young people traded it as their

25:11

primary asset class. Over the last year

25:13

or so, however, prediction markets have

25:15

taken off. I can't prove it, but I think

25:18

young investors have moved to prediction

25:20

markets. Bitcoin is no longer the cool

25:22

toy. Couch is. Just ask DraftKings,

25:25

which is facing the same fate as

25:27

Blockbuster. Being early is no guarantee

25:29

of survival. Adapting is. As another

25:32

example, eToro Group reported this week.

25:35

eToro is a global social investment and

25:37

multi-asset brokerage platform that lets

25:40

users trade and invest in stocks, ETFs,

25:43

and cryptocurrencies. But, its biggest

25:45

asset class is the trading of crypto.

25:47

EPS was okay, but revenue was down 30%

25:51

because of the decline in the trading of

25:53

crypto assets. And the stock was down

25:55

14% on the day that they reported, which

25:57

was on Tuesday, and is down 19% for the

25:59

year, and 47% over the past 12 months.

26:03

Like I said, not so cool. I discussed

26:06

Bitcoin on our recent podcast on August

26:08

10th with Glenn Schorr and Ken

26:10

Worthington. This topic came up, and Ken

26:12

pointed out that Bitcoin, at best, is a

26:14

store of value. Other digital

26:15

currencies, he argued, have many more

26:17

potential use cases. It's an interesting

26:20

point, but count me a skeptic. For any

26:22

digital currency, in my view, to have

26:24

any real impact, it has to break into

26:27

the payment system. And now, we are back

26:29

to the problems facing Circle and

26:31

stablecoins. Regardless of the form of

26:33

the digital currency, Visa and

26:35

Mastercard are not going to roll over

26:37

for digital currencies. They may look

26:39

old, established, and easy to take on,

26:42

but they will fight to the death to

26:43

defend their turf. Finally, [snorts] let

26:46

me flag issues involving boards of

26:48

directors. On Wednesday, August 26th, on

26:51

our premium Substack subscription, we

26:53

will post an interview with Becca

26:55

Platsky, host of the podcast called

26:57

Corporate Gossip. Great name. We

26:59

discussed several corporate scandals.

27:02

It's a lot of fun, and we touched on the

27:04

role or lack of a role of boards of

27:05

directors. Conceptually, a board of

27:08

directors should act as a check on the

27:09

authority of the CEO. The CEO is

27:12

supposed to report to the board, so that

27:13

if the CEO screws up, the board fires

27:16

the CEO. And it sometimes works like

27:18

that. You do see boards fire a CEO, but

27:22

most of the time it does not. In the

27:24

real world, CEOs handpick the members of

27:27

their board. They are not going to pick

27:29

someone who will challenge them. It's

27:31

mostly window dressing. Sometimes, you

27:34

see a CEO ask difficult question, and

27:36

their answer is, quote, "That's a

27:38

question for the board."

27:40

What a joke. The CEO usually controls

27:42

the board. Building your own moat can be

27:44

a perk of being CEO. I remember that

27:47

during the GFC, I decided for the first

27:50

time to examine who sat on the boards of

27:52

the major financial institutions. I was

27:54

horrified. Horrified. Running a large

27:57

financial institution is really

27:59

complicated. There are lots of moving

28:01

parts, and the accounting is very

28:04

complex. And yet, most members of the

28:07

boards of the major financial

28:08

institutions had no background in

28:09

financial services at all. They were

28:11

professors. They were once highly ranked

28:13

government officials. Very nice, but

28:16

they knew nothing about financial

28:17

services. Cushy catered board meetings,

28:20

nice annual compensation, and the status

28:24

motivated them. Understanding the

28:25

complexities was outside their

28:27

wheelhouse. That's why they were

28:29

handpicked as board members. How are

28:31

they ever going to challenge a CEO? They

28:33

weren't. This last Monday, August 10th,

28:36

we released an interview with Glenn

28:37

Schorr of Evercore and Ken Worthington

28:39

of J.P. Morgan. Combined, they cover

28:41

much of the financial services

28:42

landscape, and we explored the

28:44

controversies surrounding private equity

28:46

and private credit, as well as the

28:47

fundamentals of the overall financial

28:49

services sector including the digital

28:51

currency landscape. So, check it out.

28:54

This coming Monday, August 17th, we will

28:56

release an interview with Chris Ferrone

28:58

and Jason Trennert of Strategas. Chris

29:00

is the firm's market strategist and

29:02

Jason is the firm's founder. We had a

29:04

wide-ranging conversation about equity

29:06

markets, AI, private equity and private

29:08

credit and general risks about the

29:10

market. So, please tune in. When we are

29:13

back on September 7th, we will release

29:15

an interview with Ryan Tunnis of Cantor

29:18

and do a deep dive into property and

29:19

casualty insurance. And finally, on our

29:22

premium service on Substack on

29:24

Wednesday, August 19th, we will release

29:26

an interview with Wolfgang Münchau,

29:29

author of Kaputt, The End of the German

29:31

Economic Miracle, a great book. We

29:33

discussed at length why European growth

29:36

is so sclerotic and whether Europe is or

29:39

is not doing anything to deal with these

29:41

complex issues. So, please tune in. On

29:44

Wednesday, August 26th, on our premium

29:46

Substack subscription, we will post an

29:48

interview with Becca Platksy, host of

29:51

the podcast called Corporate Gossip.

29:54

Lakshmi Ganapathi will it will be

29:55

returning and will join us on Substack

29:57

Premium Wednesday, September 2nd for

30:00

some short picks. Please tune in. The

30:02

best way to support The Real Vision

30:04

Playbook is to subscribe to Substack and

30:06

to YouTube or your favorite audio

30:09

channel. Subscriptions are free and we

30:11

deeply, greatly appreciate your support.

30:14

And that's the rack.

30:16

>> [music]

30:17

>> This podcast is for informational

30:19

purposes only and does not constitute

30:21

investment advice. The host and guests

30:23

may hold positions in stocks discussed.

30:25

Opinions expressed are their own and not

30:27

recommendations. Please do your own due

30:29

diligence and consult a licensed

30:31

financial advisor before making any

30:33

investment decisions.

30:35

>> [music]

Interactive Summary

In this episode of the weekly wrap, Steve Eisman discusses current market trends, the role of AI in the economy, and his perspective on various investment strategies. He highlights the potential risks surrounding AI, specifically the dependency of hyperscalers on Anthropic and OpenAI, and analyzes the dynamics between upstart disruptors and established industry incumbents. Additionally, Eisman shares his skepticism regarding Bitcoin's value as an investment and addresses the effectiveness of corporate boards.

Suggested questions

3 ready-made prompts