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Yahoo Finance Live: Daily Market Coverage - August 4, 2026 3PM - 5PM (ET)

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Yahoo Finance Live: Daily Market Coverage - August 4, 2026 3PM - 5PM (ET)

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2613 segments

0:01

[music]

0:08

Hello and welcome to market domination.

0:09

I'm Josh Lipton live from our New York

0:12

headquarters. There is just now to go

0:14

now to the closing balance. Stocks are

0:15

rallying here. The Dow is up over 900

0:18

points on strong earnings and optimism

0:21

around US tensions. Y finances Jared

0:24

Blickery is standing by with the very

0:26

latest. Jared,

0:27

>> thank you Josh. And things are moving

0:28

quickly. We have the Dow up quadruple

0:31

digits, up over a thousand now. And

0:33

guess what? That is a record high. First

0:34

one in a while, not only for the Dow,

0:36

but a bunch of other indices. We're

0:38

going to go over them. First, here's

0:39

what's happened with the Dow today. We

0:41

gapped up lots of green there and have

0:43

built on it throughout the day, though.

0:44

We kind of flatlined over the last hour

0:46

or so. Nevertheless, up 2% or 1,032

0:50

points. NASDAQ Composite not quite back

0:53

at a record but nevertheless

0:54

outperforming the Dow up two and

0:56

three/4ers of a percent pretty close to

0:58

those highs of the day. The S&P 500 also

1:01

around 2% very similar chart and even

1:04

the equal weighted index which was

1:06

leading uh maybe the last week or two

1:08

weeks uh to a record high which it hit

1:11

last week. So it got there first the uh

1:13

index where everything gets every stock

1:15

gets one vote and now the mega caps are

1:17

catching up. But it's not only the mega

1:19

caps. Russell 2000 set for a record high

1:22

along with the S&P 500 in the Dow. It's

1:24

up almost 2%. You can see the same thing

1:27

in another small cap index, S&P 600.

1:30

Here's the S&P 400. That is the midcaps

1:32

also at a record. So, you get the point

1:34

of what's happening here. And let me go

1:36

down to the bond market because we have

1:38

talked a lot or at least I've talked a

1:40

lot about the 30-year T-bond yield. Um,

1:42

it has recently hit the highest level

1:44

since 2007. That's a potential problem

1:47

for stocks, but is backing off of those

1:49

levels. It is down four basis points

1:51

today. So, moving in a friendlier

1:53

direction for US stocks and also US

1:56

dollar index. Well, let's call that

1:57

break even. Not much happening there.

1:59

Now, if we take a look at the sector

2:00

action, we see XLK that is up 5% today.

2:04

That is a huge move for XLK. In fact,

2:07

it's that in industrials. It looks like

2:09

industrials now outperforming the S&P

2:11

500. But materials and financials also

2:13

up more than 1%. Utilities, healthcare,

2:16

energy, real estate. Those are your

2:18

underperformers here in the red, but

2:21

those are defensive sectors. And we

2:23

consider all of this a pretty bullish

2:25

setup. Kind of something that was in the

2:27

works for a while. We had the s we had

2:29

the semiconductor trade fall apart, but

2:31

the rest of the market was holding up

2:33

and now we're getting those record highs

2:34

once again. Here's the NASDAQ 100 and we

2:37

are seeing a really nice move by Nvidia

2:39

up 3%. Here's SpaceX ahead of earnings

2:41

today up 10%. It hit a all-time low

2:45

yesterday, Monday, and uh it rocketed

2:48

off that level, no pun intended. And

2:50

we're seeing some continuation today.

2:52

Tesla up 2%, Broadcom up 7%. Let's take

2:55

a look at those. Look at those

2:56

semiconductors.

2:58

A lot of high flyers here. I mentioned

2:59

Broadcom, but LAM re Lamb Research up

3:02

7%, ARM up 18%, SanDisk up 11, and uh

3:07

we're going to spend a little time on

3:08

semiconductors in a minute, but I want

3:10

to show you what's happening with

3:11

software too because software is also in

3:13

the green. Uh I'm going to close off uh

3:16

this particular section here on the Dow.

3:18

And here we got a little bit more red.

3:20

And some of those defensive names that I

3:22

mentioned in those defensive sectors a

3:24

minute ago, those are are what are

3:26

trading lower. Johnson and Johnson, you

3:28

got staples. Chevron is your energy

3:30

trade. Coca-Cola another staples trade

3:32

and United Health down 1%. That's your

3:35

healthcare. But, uh, some nice moves.

3:37

IBM up 3%. Cisco up four and a half.

3:39

Boeing up one and a half%. Josh.

3:41

>> All right, Jared. Before you go, I know

3:42

you're also tracking semis, the MAG 7 as

3:44

they kind of lead stocks to record highs

3:46

here. It looks like that that old AI

3:48

trade is back, Jared.

3:50

>> You know, it's been really interesting

3:51

to track this 4-day move. So, off of

3:54

last Wednesday's close, we we are now

3:56

closing in on four trading days. This is

3:59

what happened in semiconductors today.

4:00

I'm going to show you the 4-day tallies

4:02

here because some of these are really

4:04

big numbers. Once again, uh you got 67%

4:07

to 30% on the top line there. Not only

4:10

not all of these are the biggest ones,

4:11

but here's SanDisk up 40%. We got

4:14

earnings tomorrow night on SanDisk.

4:16

Lentum up 42%. And if I go to my leaders

4:20

here, this is a bunch of ETFs that I

4:22

used to kind of gauge market sentiment

4:24

over these last four days. Top two

4:26

spots, Korea and Socks. So that's Korea,

4:29

which is chip heavy, and then the socks

4:30

is of course a Philly semiconductor

4:32

index. Those have been leading the way.

4:34

But guess what else is participating?

4:36

Almost everything else. We got Quantum

4:38

up 16%, Solar up 12, IPO up 12, uh even

4:41

MAG 7 up 10%. So, we've got the MAG 7

4:45

leading again. We've got semiconductors

4:48

leading again. And it just tells me that

4:49

yes, the old AI trade is back, at least

4:52

for now.

4:53

>> All right. Thank you, Jared. Well,

4:55

earnings are dominating the market

4:57

conversation today as SpaceX is about to

5:00

deliver its first report since making

5:02

its public debut back in June. Join me

5:04

now with what investors will be watching

5:06

for. We got Y prices summariz. So, so

5:10

what are you listing for? What do you

5:11

expect? If you got to breathe, breathe

5:14

in, breathe out.

5:15

>> Let out a [laughter] scream.

5:17

>> Uh but yes, what are we looking for?

5:19

Revenue 6.8 billion, right? That's a

5:21

nice that's a nice sequential growth

5:23

there for for uh for SpaceX. Uh but a

5:26

net loss of about 2.1 billion. So the

5:29

loss per share estimate 24 cents uh

5:30

share loss. Adjusted EBID 2 billion.

5:33

Fine, fine, fine. AI segment operating

5:35

loss 2.4 billion. I think there's going

5:36

to be some some some uh just some some

5:39

focus there, scrutiny there on some of

5:40

these businesses. But I think we've

5:42

talked about this earlier, Josh, and

5:43

it's it's sort of like how does Elon

5:45

Musk, Gwen Shotwell, the whole team uh

5:48

talk about the future of SpaceX, where

5:49

they see things going because if you

5:51

look at it, there's a lot of disperate

5:52

businesses within that SpaceX empire.

5:54

And I think that's where you might see

5:56

some focus there because there shares

5:57

doing well today, but not well since the

6:00

debut.

6:00

>> Yeah, it's been rough. I mean there's so

6:02

there's so many moving parts to this

6:04

story pro like is there one metric is

6:07

there one data point where you say you

6:09

know when this hits the wires this is

6:11

what I'll make a beline for

6:13

>> well I think people are going to be

6:14

watching this capex number right so it's

6:15

it's pretty high look it's a space

6:16

company right they're making rockets and

6:18

satellites and things like that so the

6:20

capex spend estimate for the quarter uh

6:22

19.6 billion I don't sorry 18.6 point I

6:24

don't have the actual projection from ne

6:26

next quarter uh but within that is 13

6:29

billion just in AI business I think

6:31

there's some question marks as what are

6:32

you spending so much money on AI for is

6:34

it the chatbot grock is it are you

6:36

spending money on these terrestrial data

6:38

centers is it is it investment into

6:40

making the orbital data center I think

6:42

there's some questions about where is

6:43

that spending going why is it so high

6:46

when you think about you back out AI

6:47

spending it's only $6 billion on rockets

6:49

and satellites that's what people want

6:51

spending money on right but who knows

6:53

>> um to your point. The print's important,

6:56

the numbers are important, but how

6:58

important is it going to be just to

7:00

listen to the SpaceX executives on the

7:01

call, listen to how they kind of talk

7:04

about and frame, you know, the road map,

7:06

their ambitions, the opportunities, and

7:09

the progress they're making towards all

7:11

that.

7:12

>> Yeah. I mean, I think two big components

7:13

in the non-AI part are

7:15

>> rocket business, Starship, what's next,

7:17

the 14th launch coming up. They talk

7:20

about how they want to catch the

7:21

Starship and the the two Mechazilla arms

7:23

like how how's that progress going

7:24

towards that? When is that next launch

7:26

going to be? Uh Starlink, that's the

7:28

thing that makes money for them, right?

7:29

Question is what's next for that

7:31

Starlink version three satellite? How

7:33

big is that is that constellation going

7:34

to grow? Uh big thing they're talking

7:36

about is mobile to to sell satellite to

7:38

sell service. That's a big component of

7:40

their revenue business. So that's a big

7:42

thing they're going to ask. But also,

7:43

how do you tie like you said, how do you

7:45

tie the AI component to this? How does

7:47

that help the space business, the

7:49

satellite business? Um, I know they're

7:51

making chips with Tesla, right? That's

7:53

also part of it. Also, speak of Tesla

7:55

merger talk. That's also

7:57

>> that a lot of chatter about that. You

7:58

think I would expect that to come up on

8:01

the call, but would your expectation be

8:02

if it does just bats that right down?

8:05

Not going to get into that.

8:06

>> Well, he sort of did the same thing in

8:07

the Tesla call when he said, "This isn't

8:09

the appropriate avenue for this

8:10

discussion." He didn't he didn't shoot

8:12

it down. He just said that requires a

8:14

process. We shouldn't talk about it

8:15

here.

8:16

>> He'll probably see the same thing again,

8:18

which again says he didn't deny it.

8:20

>> Question is when.

8:21

>> All right. Thank you, PR. All lies on

8:22

SpaceX after Bell. Thank you.

8:24

>> Other big report out today got AMD

8:26

chipmaker set to release its second

8:28

quarter results. Jin's Dan Howley

8:30

joining us now. All right, Dan, break it

8:32

down.

8:32

>> Yeah, this is obviously kind of the

8:34

precursor to Nvidia. AMD probably hates

8:37

to hear that, but this is basically

8:39

going to give us a look at how the chip

8:40

industry is functioning as we continue

8:44

this kind of AI buildout. We saw Intel,

8:46

they obviously had very good earnings,

8:48

but they disappointed when it came to

8:50

having to spend. Uh, and so we saw the

8:52

stock drop. Now, the stock a lot of

8:54

semiconductors have since rebounded. But

8:56

I think for uh AMD in particular, let's

8:58

just run through the numbers. The first

9:00

is we're expecting earnings per share of

9:01

$161 on revenue of 11.3 billion. That's

9:06

up just a little bit from the year

9:07

before when it was 48 cents and 7.6

9:10

billion in revenue. So 11.3

9:13

from 7.6. That's huge. Data center

9:15

growth is expected to top 100%. That

9:18

would be at 6.5 billion versus 3.2

9:20

billion. And its client uh division is

9:23

expected to come in at 3 billion.

9:25

That's, you know, chip sales to uh

9:27

laptops, things along those lines.

9:29

Gaming not so good. That's expected to

9:31

be down 30%. There's a number of reasons

9:33

for that, but uh the main thing is

9:36

obviously the downturn that we're going

9:37

to see and are starting to see in the PC

9:39

space uh and the gaming space as a

9:41

result of increased memory prices.

9:44

>> The the thing for AMD here is they're

9:47

just getting into kind of the the direct

9:51

competition with Nvidia as far as these

9:53

rack servers go. So, they launched their

9:55

Helios rack scale server has 72 GPUs

9:58

similar to Nvidia's NVL 72 systems.

10:01

Sue talks very tough about the

10:02

competition.

10:03

>> She was she was throwing mad trash out

10:05

there. You know what I'm saying? She was

10:06

saying she was like, "All right, we got

10:07

the best GPU out there, you know, bar

10:09

none. That's, you know, just taking it

10:10

right to to Nvidia." Uh, this is going

10:13

to be a kind of head-to-head face off

10:16

now. And we'll have to see what

10:18

companies uh think of both systems. Do

10:21

they go with Helios and say, "Well, you

10:23

know what? AMD's got it." Or do we go

10:26

with and stick with Nvidia and say, "I

10:28

mean, they're the they're the top dog.

10:30

there's a reason for that. And so I I I

10:32

don't think that this is going to be a

10:33

thing where you say, "Oh, Nvidia is in

10:36

dire trouble now, right? This this isn't

10:38

an existential threat." Uh if anything,

10:40

I think if you talk to analysts, they'll

10:41

say that the pie is growing, and so

10:43

Nvidia still has room to grow. AMD also

10:46

has has room to grow as far as market

10:47

share goes. Maybe Nvidia doesn't have

10:49

the massive 90% estimate that uh of

10:52

market share that they have, but

10:54

>> they're still going to see revenue

10:55

growth. And so, you know, I I do think

10:57

that that's one of the key things though

10:58

to watch is what's going on with this

11:00

Helios system and if they they talk

11:02

about any deals that they've had and

11:04

then who those deals are coming from.

11:05

You know, when Nvidia announces their

11:07

data center revenue, they usually say

11:09

about 50% is from the hyperscalers.

11:11

Where does that leave AMD? Are they also

11:13

seeing that kind of, you know, large

11:15

chunk going to this one cohort?

11:17

>> We talked about the data center

11:18

business, but what what about client?

11:20

What about PC? What what do you think

11:21

they say those AMD execs Dan about the

11:24

PC business? just give me all the memory

11:25

dynamics what we're talking about. I

11:27

mean I think you know what we're seeing

11:29

broadly is price increases uh from you

11:33

know this this memory shortage this

11:35

general storage s uh shortage um and

11:38

that's raising prices on consumers for

11:41

consumers for businesses um I think so

11:44

far we haven't seen the uh the other

11:47

shoe drop but we've seen so far is

11:48

shipments decline

11:50

>> so uh I think it was uh most recently uh

11:53

one of the worst uh uh quarters that we

11:55

had seen for smartphone shipments

11:57

uh laptop shipments are following suit

12:00

and now we have to see what that means

12:02

for revenue because everything's here,

12:05

you know, things have been shipped. What

12:07

happens when the prices go up and people

12:09

stop buying? And so we didn't

12:10

necessarily see that for Intel in the

12:13

last quarter. We're not expected to see

12:15

that for uh AMD in this quarter. We're

12:18

going to see it in the gaming side most

12:20

likely because that's the the most acute

12:22

hit. We've seen Sony, you know, they use

12:24

AMD chips. Microsoft, they used AMD

12:25

chips in their Xbox. Those prices have

12:27

gone up. They're also later in life

12:29

devices. So, the fact that the prices

12:30

are going up, that's just un it's not

12:33

normal. So, to see that, you imagine

12:35

people are probably slowing down on on

12:37

sales. That couple that with the fact

12:39

that it's hard to get access to these

12:41

graphics cards that go into uh

12:43

computers, they're raising prices on

12:44

those as a result of the memory

12:45

shortage. So, the gaming side is going

12:47

to take a a wallup. The client side may

12:50

not take that just yet, but imagine it

12:53

coming down the line at some point.

12:54

>> All right, Dan. Thank you, buddy.

12:56

Appreciate it. Coming up, we check in on

12:57

some of today's top trending tickers.

12:59

That's next on Market Domination.

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17:08

>> Time now for some trending tickers with

17:10

the Yahoo Finances, Brook Depal. We're

17:12

going to start here with Wayfair Brook

17:14

as Wayfair reports sales in the US

17:16

growing at the fastest clip since 2021.

17:19

Q2 revenue from US operations rise about

17:22

9% and that was better than analysts

17:24

have been looking for.

17:25

>> Yeah. What really did well for them was

17:26

their luxury segment. This paragold

17:28

business outperformed expectations. It

17:29

was up about 35%

17:32

in the quarter when it came to revenue.

17:33

And the company really saying that it's

17:34

leaning into this idea, this ongoing

17:36

trend of a K-shaped recovery that we

17:39

have been seeing, like you said, the US

17:41

segment accelerated 9% year-over-year in

17:43

terms of revenue. And what investors

17:45

also really liked was the fact that they

17:46

also updated their third quarter outlook

17:48

rather provided that guidance. They

17:50

expect high singledigit revenue growth

17:52

for the third quarter. And I was reading

17:54

this note from William Blair analyst

17:56

Philip Blee. He had said that Wayfair is

17:58

becoming more one of the most consistent

18:01

and predictable models with some of the

18:03

strongest share gains in the furniture

18:04

and home space. Of course, this is an

18:06

environment where the consumer continues

18:08

to be a resilient and boy did they show

18:09

up when it came to furniture and redoing

18:11

their homes even though many of us

18:13

aren't moving.

18:14

>> Stock was down about 10% year to date

18:15

heading into that print, but is ripping

18:17

higher right now.

18:18

>> Yeah, up nearly 30%.

18:19

>> Yeah. Topic two, Chipotle. Let's get

18:21

into this one. Pulling jalapenos from

18:23

some Minnesota restaurants. The peppers

18:25

may be linked to a salmonella outbreak

18:27

that has sickened about 110 people.

18:30

Company says it's it's acting

18:32

proactively. Remove the suspected

18:34

peppers, but what do we need to know on

18:35

this one?

18:36

>> Yeah, remove their peppers, these

18:37

jalapeno peppers that might have been

18:38

impacted and now provided it from

18:41

another producer. So, they changed it

18:43

out acknowledging that they're working

18:44

with CDC on this one. But I do want to

18:46

pull up alpha space for this because the

18:48

stock reaction that we saw was quite

18:49

dramatic. So, I'm going to pull this up

18:51

right here. If you take a bigger picture

18:53

view, you can see right when the company

18:54

put out that release right here, you saw

18:57

the stock just fall dramatically. I

18:58

changed it to percentage trying to get

19:00

an inside look and as you can see right

19:02

here, the stock now down 8.86%

19:05

declining as we make our way towards the

19:07

close. And as you can see right here,

19:08

the headlines off to the right really

19:10

offsetting those results that we just

19:13

got last week. And now the story

19:15

unfortunately is getting turned the tide

19:17

to now the salmonella outbreak of course

19:19

as that ongoing cycllospora outbreak

19:21

continues and uncertainty around that

19:23

that's certainly hit Taco Bell hurt

19:25

other lettuce salad makers that impacted

19:27

Chipotle even though they said had

19:29

nothing to do with it and now this is

19:31

another food outbreak.

19:32

>> All right lastly Brooke let's look at

19:33

Proctor and Gamble because they're

19:35

making news today winning this bidding

19:37

bidding war for Thorn the supplement

19:39

maker deal reportedly valued at 3.8 8

19:42

billion transaction expected to close

19:44

later this year. CEO saying Thorne

19:46

strengthens our position in premium

19:48

wellness with a trusted sciencebacked

19:50

brand that complements our existing

19:52

portfolio.

19:53

>> Yeah, really interesting to see PNG pop

19:55

on this news. I mean up about 2% as we

19:57

make our way towards the close. This is

19:58

sort of leaning into once again maybe

20:00

that higher income consumer. Thorn is a

20:03

company that was founded in 1984 I

20:06

believe and they have everything from

20:07

creatine to prenatal vitamins. So, it

20:09

seems like it's leaning into this idea

20:11

as more and more younger consumers lean

20:13

into supplements. So, perhaps this is

20:15

quite literally supplementing PNG's

20:17

already existing portfolio here as well.

20:19

>> I do see analysts citing the press is

20:21

saying strategically they're suggesting

20:23

kind of makes sense because they're

20:24

saying shoppers might be buying maybe

20:26

less essentials, but they're continuing

20:28

to spend on health and wellness like

20:30

supplements.

20:30

>> Yeah, Thorne apparently bringing in $650

20:33

million in revenue for 2026. Something

20:35

to watch for sure.

20:36

>> All right. Thank you, Brooke. Appreciate

20:37

it.

20:39

Well, recent Indeed data showing a

20:41

mismatch with AI in the workforce. And

20:43

here to dig into this is Laura Olrich,

20:45

director of economic research at Indeed.

20:46

Laura, it's good to see you. So, let's

20:48

get right into this because one stat

20:50

that jumps right out, Laura, from your

20:52

research, 45%

20:55

of of employers, you say, are actively

20:57

recruiting AI native talent. Let's stop

21:00

there, Laura. What does that mean

21:02

exactly? AI AI native. How do you define

21:05

that? who qualifies?

21:08

>> Great question. Thanks for having me to

21:09

talk about this. Um, so AI natives are

21:12

workers that use AI across across

21:15

multiple workflows and really default to

21:17

thinking kind of AI first across many

21:20

different tasks that they do rather than

21:22

using legacy task um processes prior to

21:27

to AI being around. AI fluent workers on

21:30

the other hand are people that are

21:31

comfortable using AI. They can use it

21:33

across different tasks, but it's not

21:35

necessarily their default.

21:36

>> So, it's sort of like Laura, is it

21:38

someone, okay, basically I I know chat,

21:40

GBT, I know anthropic, I'm I'm good at

21:43

prompts, I'm good at leveraging these

21:44

tools in my work and workflows.

21:48

>> That would be someone who's AI fluent.

21:49

someone who's AI native would actually

21:51

think um about using those first in the

21:55

work that they're doing for their

21:56

employer and and would be comfortable

21:58

using across not not just one task or a

22:01

few tasks but really all task

22:03

>> and these skills Laura in your opinion

22:05

are they now sort of you know here in

22:07

2026 are they as as important as maybe

22:10

we used to think of you know uh Excel

22:13

and PowerPoint

22:15

>> I think it depends on what sector you're

22:17

in but in white collar um business and

22:19

tech forward sectors. I would say we're

22:21

getting close to that. Uh you know 45%

22:24

as you mentioned of people are really

22:26

seeking out actively seeking out this AI

22:28

native talent but only about 14% of

22:31

workers are AI natives and so um it is

22:35

an important skill and there's quite a

22:37

skill gap there.

22:39

>> Yeah. So that's interesting. If 14%

22:41

Laura say, "Yeah, I'm AI native." But

22:44

45% of employees you say you say are

22:47

trying to recruit AI native folks. I

22:49

mean that that would suggest a pretty

22:51

big mismatch.

22:54

>> Absolutely. I mean the technology is

22:56

new, right? It's changing. People are

22:58

trying to get upskilled to learn more.

23:01

And one of the things from the survey we

23:02

also found was that the majority of

23:05

workers don't feel like they're

23:06

receiving enough training on AI and

23:09

learning AI skills enough from their

23:10

employer. They they would like

23:12

additional training.

23:13

>> Why? So I guess my why is that Laura?

23:16

Why why is corporate America moving

23:18

slowly on this?

23:20

>> You know I think one of the answers is

23:23

the generational gap. Many leaders

23:25

within corporate America are like me.

23:28

they're Gen Xers um or even baby

23:30

boomers. And a much lower percentage of

23:33

older workers consider themselves to be

23:35

even AI fluent. The gap is really

23:37

noticeable. 35% of Gen Z are AI fluent,

23:41

but just 11% of my generation, the Gen

23:43

Xers are AI fluent. And so part of this

23:46

is that it's difficult for managers and

23:49

companies to teach people how to use it

23:50

if they're not AI fluent and AI natives

23:52

themselves.

23:53

>> Bigger picker picture question for you,

23:55

Laura. You know, there is this

23:56

continuing question out there, this

23:58

concern about, you know, is AI going to

24:00

take my job? Um, how much of a risk is

24:03

that, Laura? What are you seeing in the

24:05

data?

24:07

>> We are starting to see some really

24:09

interesting things here. So far, we are

24:11

not seeing a whole lot of what we could

24:14

point to and say direct AI job losses.

24:17

However, what we are seeing is new jobs

24:20

that are popping up uh that have AI in

24:22

the title or mention AI as a skill.

24:25

those jobs are are job postings for what

24:27

we're calling AI touch jobs are up

24:30

considerably and one of the more

24:32

interesting things we're seeing is that

24:33

this started in tech in our data but now

24:36

it has bled into many other sectors and

24:38

about 63% of these now AI touched jobs

24:41

are outside of tech I think it's hard to

24:44

know in the long run exactly what the

24:46

balance is going to be in terms of AI

24:48

created jobs versus AI destroyed jobs

24:51

but I think it's clear that there are

24:53

some sectors mostly white collar that

24:56

are much more exposed to AI

24:58

transformation.

24:59

>> Laura, let's say, you know, you were

25:01

talking to um maybe a college kid,

25:03

right? He was talking to you and he was

25:04

saying, "Laura, you've done so much

25:06

research into this issue. I want to make

25:07

myself as attractive as possible to a a

25:10

potential boss here when I graduate in

25:13

our new AI economy. How do I do it?"

25:16

What would you tell them, Laura?

25:18

>> Yeah, I actually have done that in my

25:20

own household. I have high school and

25:22

college kids of my own and have had

25:24

these conversations with them. I think

25:26

it's important to try to become part of

25:28

that AI native talent pool. Um I've done

25:31

that myself which few Gen Xers have. If

25:34

you look at the data, I think this is

25:36

actually a skill where it's relatively

25:39

easy to upskill yourself simply by

25:41

asking the AI tools themselves, whether

25:43

it's COD or chat GPT or another tool,

25:46

how to become AI native, how to learn

25:49

those skills. And so I think this is a

25:51

space where if you're currently um in

25:53

college or or looking to reskill or

25:55

upskill, you can dive into this on your

25:56

own pretty easily.

25:58

>> Laura, as always, great to have you on

25:59

the show. Thank you.

26:01

>> Thanks so much. Bye.

26:03

>> Coming up, a new forecast from EY

26:05

Parthonon is out saying that M&A [music]

26:06

volume is heating up. We're going to

26:08

have all the details on market

26:09

domination returns.

26:17

>> [music]

26:23

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26:28

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26:36

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26:56

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27:46

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27:56

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28:02

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28:11

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28:18

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28:25

>> Hey, hey, hey.

28:29

Heat. Heat. [music]

28:49

[music]

28:52

Heat.

28:54

[music]

29:01

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29:12

Hey, Heat.

29:31

>> [music]

29:48

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29:50

>> Down.

30:00

Down.

30:02

[music]

30:16

A weak yen is playing in favor of

30:18

automaking giant Toyota Motors is Jake

30:21

Connley. Joining now with a closer look

30:23

at that. All right, Jake, let's start

30:24

there. So, Toyota is talking about a

30:25

weaker yen. Explain that. Why is a

30:27

weaker yen a tailwind for Toyota? This

30:30

is going to be a tailwind for any

30:32

exporter in Japan right now. When you

30:34

take a company like Toyota that exports

30:36

a lot of its products, let's say it

30:38

makes a sale in the US, it's going to do

30:40

that transaction in US dollars. But when

30:43

it books that transaction for its

30:44

accounting purposes, for its earnings,

30:46

that's going to get booked in yen. If

30:48

the yen is weaker against the dollar,

30:50

which means it takes more yen to equal

30:52

$1. If you convert that back to yen,

30:55

then that's going to be more yen on the

30:57

book. Let's say that the transaction is

31:00

$1 USD and the yen's at 160. That means

31:03

for that $1 you get 160 yen. If that

31:06

goes up to 170 ex at the exchange rate,

31:09

now you've just made 10 more yen on the

31:11

same $1 USD transaction.

31:13

>> So is there a tension, Jake, between

31:17

what is good for a Japanese exporter, a

31:20

Toyota, versus what is good for the

31:23

Japanese economy? Right now there is

31:26

because what does the Japanese

31:27

government want right now? They want a

31:28

strong yen. This is why you saw the US

31:31

government, the Bank of Japan and the

31:32

Ministry of Finance in Japan step in

31:35

over the last few days intervene, spend

31:37

billions of dollars to try to prop up

31:40

that currency. The yen has been really

31:42

devalued recently. That makes imports

31:44

much more expensive in a much in a very

31:47

import.

31:50

This also comes at a pretty crucial

31:51

moment for the US administration

31:53

[clears throat]

31:54

because at the same time, [snorts]

31:56

President Trump last summer in 2025

31:58

signed this huge trade deal with

32:01

Japanese Prime Minister Senate Teki. A

32:04

lot of that trade deal depends on

32:05

billions of dollars of Japanese purchase

32:08

of US goods. With a stronger yen, those

32:11

purchases get easier to make. With a

32:12

weaker yen, they get harder. But for

32:14

Toyota, it's the exact opposite. And of

32:16

course, you don't also want if you're

32:17

you don't want to see Japan selling

32:19

treasuries as they defend their

32:21

currency, potentially setting bond

32:22

yields higher, right?

32:23

>> Because bond yields are already at

32:24

multi-deade highs. 30-year treasuries

32:27

are at above 520. If Japan, the largest

32:30

foreign holder of US treasuries, had to

32:32

start selling those holdings, then

32:34

that's going to put more and more

32:35

pressure on yields at a moment where the

32:36

US Treasury really does not want to see

32:38

those yields going higher. that Toyota

32:40

story uh Jake you're talking about do

32:41

you see that as okay that's a uniquely

32:44

Toyota thing or no you may see a similar

32:48

story narrative from other Japanese

32:49

automakers

32:50

>> so we got numbers from Nissan yesterday

32:53

saw the exact same effect I want to

32:54

quote the number

32:56

>> the management at Nissan said that the

32:58

depreciation of the yen against the

32:59

dollar

33:00

>> was a positive impact to their uh their

33:03

operating profit for the year of 35

33:05

billion yen

33:06

>> at Toyota that figure was 400 billion

33:08

yen We're going to get Honda earnings

33:10

tomorrow. We're certainly expecting to

33:12

see the same thing there. This is going

33:14

to be the story for any major Japanese

33:17

uh exporting company and that's all of

33:19

their automakers that sell their cars in

33:21

Europe, in the US, in South America, in

33:24

wherever else they're selling. That

33:26

impact you're going to see across the

33:27

board.

33:28

>> All right, Jake. Thank you, buddy.

33:29

Appreciate it.

33:29

>> Thanks, Josh.

33:31

Ma M&A activity is picking up with EY

33:34

parthonon now forecasting US deal volume

33:36

to rise 15% this year as companies push

33:39

ahead with big deals in AI pharma and

33:41

more joining us now we got Mitch Berlin

33:43

EY America's vice chair at EY Parthonon

33:46

Mitch it's good to see you so let's

33:48

start with that headline there Mitch

33:49

nearly it looks like double your US deal

33:52

volume forecast start there Mitch how

33:55

come what what changed

33:58

>> sure so the first quarter we were

33:59

expecting

34:01

um M&A volumes and these are deals over

34:03

100 million. Um we expected that to

34:05

increase by 8%. Now we've we've

34:08

increased that to 15%. So we increased

34:11

it by 7% because the dynamics in the

34:14

market have changed. We're seeing um

34:17

consumer spending continuing to pick up.

34:19

Corporate corporate profits are

34:21

increasing. CEO sentiment around doing

34:24

deals are increasing and the overall M&A

34:27

market is increasing. So when you put

34:29

all those together, it's looking for a

34:30

very frothy M&A market for the rest of

34:33

the year. A lot of that though, Josh, is

34:35

really in corporates. PE is still sort

34:38

of slow. It picked up in Q2. Overall, we

34:41

expected to be relatively flat, maybe 1%

34:43

increase in volume year-over-year, but

34:45

the corporate M&A market continues to go

34:48

gang busters.

34:49

>> What about potential headwinds, Mitch?

34:51

You know, you think about uh rates,

34:53

tariffs, geopolitical conflict. How does

34:56

that factor into the forecast?

34:58

They're all they're all relevant. But

35:00

what we've seen, Josh, is that despite

35:03

all that, corporates are still

35:05

transacting because the headwinds the

35:07

competitive headwinds they're facing are

35:09

greater than the geopolitical geop

35:11

geoeconomic headwinds. And so if you

35:13

look at technology, for example, a lot

35:16

of technology deals because they need to

35:18

trans they need to transform through

35:19

transactions. So the fastest way to get

35:22

there is through M&A, the ANI race, the

35:25

the AI race, sorry, the uh cyber

35:29

security, the the need to um increase

35:34

power to fund all the infrastructure

35:36

that keeps AI going. That's an external

35:38

force that's more val more important to

35:41

them than the geoeconomic geopolitical.

35:43

You look at pharmaceuticals, same thing.

35:45

There's about $370 billion worth of

35:48

revenue coming off patents in the next

35:50

six years. So, they need to repopulate

35:52

the R&D pipeline. That's why you see a

35:54

lot of deals in M&A. And then just back

35:57

to, you know, power and utilities that

36:00

that goes back to the AI comments around

36:02

needing to continue to fuel and provide

36:05

sources of energy for all the AI

36:06

infrastructure. So, that's what's really

36:09

driving all the corporate M&A.

36:11

>> You mentioned corporates leading the

36:12

way, Mitch. I'm just curious, you know,

36:13

what do you think we need to see? What

36:16

needs to happen to really, you know, see

36:18

any kind of uh private equity activity

36:21

accelerate?

36:22

>> Yeah. So, you know, 1% increase. It

36:25

increased, by the way, 18% in Q2

36:28

compared to last year. So, there is

36:29

activity there. It's just not as big as

36:32

we really would have expected it to be

36:34

given how slow private equity has been.

36:36

the fact that they're almost sitting on

36:37

two trillion of dry powder that what we

36:41

really need to see is a decrease in the

36:43

Fed borrowing rate, which we're probably

36:45

not likely to see this calendar year if

36:47

you read all the signs because a lot of

36:48

these deals are leveraged. The cost of

36:50

capital is high and the the bidder

36:53

seller gap is still broad and that gap

36:56

just gets bigger if you have to factor

36:58

in the cost of capital. If the cost of

37:00

capital goes down, that can narrow the

37:02

overall gap in the business thesis. So

37:04

that would that would drive more M&A and

37:06

private equity.

37:07

>> You know you you mentioned AI Mitch and

37:10

and how that's playing into all this and

37:11

I mean already you know SpaceX buying

37:13

cursor for 60 billion but um how

37:16

vulnerable is the deal landscape to that

37:18

Mitch? I mean what if you know uh

37:21

companies don't see the ROI and all this

37:23

historic AI spend for example what what

37:26

are the what are the risks there?

37:29

I I think the bigger risks are that

37:31

there's more that we become more

37:33

efficient and so all the infrastructure

37:35

that's needed around AI is not truly

37:38

needed as fast as we thought it is. But

37:41

when it comes to efficiency, the move

37:43

from AI automation to agentic workflows

37:47

is going to have a very different impact

37:49

on corporate America. It's one thing to

37:52

take a thousand use cases and automate

37:54

them to create, you know, supposed

37:57

efficiencies, but if you're able to

37:59

identify an entire workflow and have

38:01

more of a native AI organization, you

38:04

are going to see those efficiencies. I

38:06

think that's less of a risk.

38:07

>> Finally, Mitch, I just want to get your

38:08

your take. you know, turning to the role

38:10

of Washington here and regulators. How,

38:13

Mitch, would you, you know, say the

38:14

Trump administration when it comes to

38:16

M&A? How would you say that

38:18

administration kind of compares and

38:20

contrasts, Mitch, to Biden's?

38:23

>> Yeah, it's a it's a very deal friendly

38:26

administration right now, which which by

38:28

the way, Josh, is probably another

38:29

reason why you're seeing a lot of

38:30

corporate M&A because people want to get

38:32

in before the midterm elections, which

38:34

can have an impact or per, you know, two

38:36

years from now as well. the there has

38:39

been only one deal uh on record that has

38:43

been ch that has been stopped by the

38:46

Trump administration compared to the

38:48

Biden administration and Lena Khan who

38:50

who you know was very vocal um around

38:54

M&A. So it's a very friendly environment

38:56

right now.

38:57

>> Mitch, great to have you on the show.

38:58

Thank you.

39:00

>> Thanks Josh.

39:02

Leopold Ashen Brener's hedge fund lost

39:04

67% in July as leverage AI bets

39:07

unraveled, forcing the fund to sell most

39:09

of its public holdings to Citadel and

39:11

remove all leverage. Our finances Julie

39:13

Hyman spoke to the reporter who broke

39:15

that news about Citadel's purchase,

39:17

Gregory Zuckermanman, special writer at

39:19

the Wall Street Journal.

39:20

>> As you were covering this, as you were

39:22

sort of, you know, deep in the weeds of

39:24

what was happening, you know, how are

39:26

you thinking about also how it reflects

39:28

kind of this moment?

39:31

To me, it says we're all searching for

39:35

guidance. We're in a period AI is

39:37

affecting every job. Your job, my job,

39:39

every industry out there, and we're not

39:42

sure where the future is going to take

39:44

us, here's a guy that emerged to tell

39:46

us. He was kind of our sherpa, a young,

39:49

well credentialed, did well in school,

39:53

great background, obei, FTX, maybe not

39:56

quite as much, but he had, you know, he

39:58

was well connected and he was telling us

40:01

where the world was going, what our

40:02

future was, and now as it were, and

40:05

we're all looking for that. So this to

40:07

me is a sign of that especially as

40:08

frankly kind of older investors are over

40:11

and time and time again I've covered

40:13

this a lot of times where they are uh

40:15

eager to hear what the younger next

40:16

generation has to say and he represented

40:19

the future for them.

40:21

>> Um and where do you think it kind of

40:24

went wrong here? I mean you know as you

40:26

wrote about the guy had no investing

40:28

experience but he did have this insight

40:31

into where he thought AI was going. I

40:34

mean, it seems to me that works as a

40:36

long-term thesis. Maybe it works less

40:39

well as a shorter term trading thesis

40:42

and certainly a leverage thesis.

40:45

>> Well, the key was leverage, but not so

40:47

much just how much he piled on. He did

40:49

pile on a lot of leverage. Uh, we

40:51

reported four to one leverage. For every

40:53

dollar he had, he borrowed a good three

40:55

four dollars. On top of that, he also

40:57

used options that kind of added to the

40:59

leverage. But it wasn't just the

41:00

leverage. There a lot of lever hedge

41:02

funds, but they usually trade in less

41:06

volatile investments, bonds and such,

41:09

that kind of thing. So, you could pile

41:10

on a leverage if the underlying

41:12

investments aren't volatile. But if

41:14

you're going to go long short AI related

41:17

stocks, it's sort of inevitable that at

41:19

some point you're going to have some big

41:20

setback that's going to lead to a margin

41:23

call that's going to lead to panic.

41:24

That's going to lead to what happened

41:26

here. Um, Greg, as you did your

41:28

reporting, did you also I mean,

41:30

certainly there must be other blowups or

41:33

losses that we don't necessarily know

41:35

about or that didn't have as big a

41:37

ripple effect in the market. Did you get

41:39

any glimmers of anything like that?

41:41

>> There were rumors, but not enough that

41:43

we could report just yet. People want to

41:46

reach out, feel free. Um, nobody's this

41:48

big, frankly. No one's grown this this

41:50

much so quickly. I mean, the guy got up

41:53

to $45 billion in aum in assets and up

41:57

from just a few hundred million just

41:59

like a year or so ago. I think earlier

42:01

this year is at 20. So, he doubled it.

42:03

Uh, nobody's this and all the leverage

42:05

on top of that. So, he had an outsized

42:07

influence on the overall market. And you

42:09

could kind of see that some of these

42:10

stocks, I mean, there were other things

42:12

going on, too, to be clear. But you

42:14

could see when he was under pressure,

42:16

they were going down. And then suddenly

42:18

when Ken Griffin and Citadel swooped in

42:21

and and made their purchase, the stock

42:22

started shooting up. Part of that is

42:24

short sellers stopped targeting. Part of

42:26

it again is short sellers stopped

42:29

targeting these stocks and they moved on

42:31

to other stocks.

42:32

>> Yes. As they always do. I mean, what's

42:35

one of my takeaways from this whole um

42:38

episode is also hubris to some extent on

42:41

the part of Silicon Valley. Like they

42:43

embrace this guy because he's one of

42:44

them, right? And you know, he's not a

42:46

Wall Street guy. He's a sort of an AI

42:49

native. Um and it it's a hubris I don't

42:52

know, it's an arrogance perhaps you

42:54

could use that word that you see applied

42:56

to different realms. Um but I wonder if

42:59

this, you know, do they pull back? Do

43:01

they go back to more traditional Wall

43:03

Street hedge funds as a result of this?

43:05

Or do they say, "Okay, you made one

43:07

mistake. Here's some more of my money."

43:10

>> Oh, Julie, I've covered these things

43:11

over time and time again. It's it's like

43:13

a badge of honor to lose a lot of money

43:16

on Wall Street. It's shocking. You and I

43:18

and regular people don't really can't

43:20

relate to it, but you get second and

43:22

third chances on Wall Street. There's

43:23

this weird kind of uh pride in losing a

43:26

lot of money. Well, yeah, I lost

43:28

billions this time, but that means next

43:31

time I can make billions. And people

43:33

figure you've learned lessons. Uh, yeah,

43:35

I don't think he's going away. And he's

43:37

got this big portfolio of private

43:39

investments, um, anthropic and such that

43:42

are doing well. So, yeah, I think he'll

43:45

kind of say, I learned my lesson. I'm

43:47

24. Give me another chance. And I think

43:49

people will. Greg, of course, the other

43:52

um fascinating side of the story is the

43:54

other side of the trade who is Ken

43:56

Griffin over at Citadel. Um and there

43:58

were a lot of um sort of rumors or

44:00

speculation that he at least in the you

44:04

know closing moments of this whole saga

44:06

that maybe he put his thumb on the

44:08

scale, so to speak, and maybe maybe

44:10

caused even more pain for situational

44:13

awareness and then swept in and bought

44:15

the portfolio. Did any of your reporting

44:17

indicate any of that?

44:20

There's speculation and accusations. I

44:22

have no evidence of that. And it's

44:24

always the accusation of of Ken and

44:28

others like them who who step in there.

44:30

Uh because there were short sellers and

44:32

and who were were shorting this stuff.

44:34

But nah, I I haven't heard that. And and

44:37

I covered something similar 20 years ago

44:39

almost to the day uh Amaranth uh

44:42

collapsed, the biggest hedge fund

44:43

blowoff in history. And some similar

44:47

themes. uh Brian Hunter who who led the

44:49

natural gas investments of Emir too much

44:51

leverage was doing well was put on a

44:55

pedestal by the industry and then Ken

44:57

Griffin and others kind of swooped in JP

44:59

Morgan JP Diamond and made a lot of

45:01

money and yeah those are always the

45:03

accusations but again when you you

45:06

borrow so much money and you you let and

45:08

you and you bet on really volatile

45:10

stocks it's I don't say inevitable it's

45:12

there's a danger of of something like

45:14

this happening.

45:15

>> Yeah. I mean, it's also just sort of

45:18

illustrates the savvy and power of

45:20

somebody like Citadel and Ken Griffin

45:22

and and the fact that he came and did

45:24

this did seem to to mark at least a

45:27

short-term turn in the market that

45:29

people said, "Well, if he's buying, then

45:32

maybe it's okay."

45:33

>> Yeah. Although he got a 10% plus

45:35

discount, so if you and I would get 10%

45:37

discounts on stocks, we might be more

45:39

apt to to step in and write a big check,

45:41

too. Yeah, he and his firm and others

45:43

were out there bidding, but he and his

45:44

firm were able to write a big check. And

45:45

this is kind of what they do. They wait

45:48

for these opportunities and we've

45:49

reported I've reported that they reached

45:51

out and they said, "Hey, can we be

45:52

helpful here?" So, they weren't like,

45:53

you know, forcing him to do a deal, but

45:55

they offered a a big amount and and

45:59

listen, they had other options. I mean,

46:00

Leo could have sold uh his anthropic and

46:03

he didn't. So, this was his option.

46:05

>> Yeah, he made he made that choice. Greg,

46:08

thank you so much. Looking forward to

46:10

more reporting um as we learn more about

46:12

all of this. Appreciate it.

46:14

>> Of course.

46:15

>> Coming up, we check in on the top

46:17

options trades in the volatile AI

46:19

sector. That's next on Market

46:21

Domination.

46:27

[music]

46:32

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46:37

Heat. [music]

46:48

[music]

46:53

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Hey, heat. Hey, heat.

47:10

>> [music]

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>> Heat.

48:42

Hey. Hey. Hey.

48:46

Heat.

48:50

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48:57

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48:57

Heat.

49:07

>> [music]

49:16

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49:28

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49:29

>> A volatile July in the markets has

49:31

propped up options trading volumes, but

49:33

with SpaceX's first quarterly earning

49:36

still set to test the market in the high

49:38

stakes of tech and AI. We're looking at

49:40

how to navigate it all with YieldMax

49:42

ETFs, chief strategist, Mike Co. Mike,

49:45

always great to see you. Let's start

49:46

here. I mean, SpaceX after the bell,

49:48

right? First earnings report. Your fund

49:50

doesn't own the stock outright. Maybe

49:52

start there, Mike. Remind us like what

49:54

are you trying to accomplish with this

49:56

option strategy? Yeah. So the option

49:58

strategy, we have a proxy for the long

50:00

stock because when you create an

50:01

exchange traded product that is single

50:03

stock focused like like this one is you

50:05

actually have some concentration tests

50:07

that make owning the shares themselves a

50:08

little difficult. So we we buy a proxy

50:10

for the equity position. So long calls,

50:12

short puts and then we look to harvest

50:14

some options income by selling call

50:16

spreads against it. So the idea is that

50:18

and we can see this it's a volatile

50:20

stock highriced options. We're trying to

50:22

capture some of that while still

50:23

maintaining some upside exposure to the

50:25

underlying. So in simple terms, is it

50:26

let's let investors participate in much

50:29

of the upside and kind generate income

50:31

along the way. Is that a good way to put

50:32

it?

50:33

>> Exactly. Right. So we're basically

50:34

looking to capture 70 to 80% of the

50:37

upside exposure to SpaceX while also

50:40

collecting and then paying out

50:42

distributions by selling upside options

50:44

against it. And right now those premiums

50:46

are pretty high because it's implying

50:47

about a 16.5% move higher or lower

50:50

quarter billion a quarter of a trillion

50:52

dollars excuse me you know is kind of

50:53

the valuation swings that we're we're

50:55

looking at here.

50:56

>> Who is that option strategy for Mike?

50:58

>> Anybody who's looking to get income I

51:00

think from their ETFs. I mean once upon

51:02

a time people would invest and they

51:04

would collect dividends or they would

51:05

buy bonds and they would collect

51:06

coupons. Um you know more recently

51:08

people are targeting just strict capital

51:11

appreciation. I buy a stock, it goes up

51:12

20% a year. And they have been doing

51:14

that happily for a couple of years now.

51:17

But there are investors, I think, who

51:18

are looking to get regular distributions

51:20

either so they can deploy the capital

51:21

elsewhere or because they're living off

51:23

of them, things like that.

51:24

>> What What are the potential tradeoffs,

51:26

Mike? Like what what would I potentially

51:27

be kind of giving up rather than just

51:29

owning the stock outright?

51:30

>> If you own the stock outright, you're

51:32

going to get 100% participation. If the

51:34

stock goes up 100% after earnings, I

51:36

don't think that's likely, but if it

51:38

did, uh, you get 100% of that. If you

51:40

are in this strategy, you're not going

51:42

to get quite that 100%. But I can tell

51:43

you that if we see the stock up 30 40%

51:46

by the end of next week, again, not a

51:48

likely outcome, but if you did, you

51:50

would get most of that in this strategy

51:52

anyway. So, you're going to have

51:52

slightly lower volatility, slightly less

51:55

participation, but you will be getting

51:56

regular distributions.

51:57

>> Beyond beyond space, kind of broaden

51:59

this out, Mike, I mean, wild swings in

52:01

the AI trade and semis, do do these kind

52:03

of option strategies, are they also

52:05

attractive in those spaces?

52:07

>> Extremely. I mean we have uh a couple

52:09

billion dollars actually deployed to

52:10

that to that area. So uh we are very

52:13

heavily in chips semiconductors. We have

52:16

uh also some funds that are focused more

52:18

on the AI trade. So that's going to have

52:19

the semis in it but then it's also going

52:21

to have the hyperscalers. It's also

52:22

going to have your C3 AIS ciphers eights

52:25

and stuff like that. So if you want data

52:28

center plays and things like that we do

52:30

have that as well. Um and actually

52:32

SpaceX itself is in some of our other

52:34

funds too um in small size. We have one

52:37

that just focuses on the top 50 largest

52:39

companies by market capitalization. The

52:40

S&P 500 doesn't have it in the index,

52:42

but it is one of the top 50 largest

52:44

companies. And so the fund that we have

52:46

that tracks those does have a small

52:47

piece of SpaceX as well.

52:49

>> Longtime market watcher that you are, I

52:50

wanted your take on a couple other

52:51

stories. One, Leo Ashen Bunner

52:54

situational awareness. Did you look at

52:56

that story, Mike? I'm just curious and

52:57

think, okay, you know what kind of like

52:59

isolated leverage problem, young guy

53:02

still learning risk management or no?

53:03

Was it like was it some type of yellow

53:06

flag, broader yellow flag? I'm just

53:08

curious what you made made of it.

53:09

>> Every sort of big market thematic

53:12

situation where you have a bull market

53:13

in certain stocks, you find these

53:15

situations. Um, you know, we had a

53:17

family office not that long ago, also a

53:19

little over levered that blew up. Uh, I

53:21

heard you guys referencing Amaranth. I

53:23

remember Brian Hunter. Uh, that whole

53:25

story. I traded natural gas as well. So,

53:27

you know, there are always going to be

53:28

those beneficiaries. Look, it's very

53:30

tempting if you have a trade that's

53:32

working. Why not make it work even more

53:34

by adding leverage and more leverage?

53:36

And you know, you can have a very smart

53:38

guy who's making the right bets, but

53:40

risk management is really the key to

53:41

this game. If you want to persist and

53:43

stay in the business as long as I have,

53:45

you're going to have to manage your risk

53:46

a little better than he did, but he'll

53:47

probably get another chance. He's still

53:48

there.

53:48

>> Uh, finally, Mike, just broadly, I mean,

53:50

listen, we're breaking out to new highs

53:52

or really new highs all over the world.

53:54

How do you broadly want to be positioned

53:56

right now?

53:57

>> Well, you know, I think uh we're

53:58

obviously not in the first inning, but I

54:00

don't think we're in the last one

54:01

either. Um, you know, the really

54:03

important thing to think about on the

54:05

hardware side is wait until you start

54:07

seeing hyperscalers scaling back on

54:09

their capex. We haven't seen that. The

54:11

only thing we're getting is we're going

54:12

to continue to spend at the rate or

54:13

we're going to increase that rate of

54:15

spend. Um, is it always going to be as

54:17

good as it is right now? Probably not,

54:19

but I don't see any reason why it's

54:21

going to hit the brakes, you know,

54:22

between now and the next couple of

54:24

months.

54:24

>> All right, we'll end it there. Mike, as

54:25

always, great to see you. Thank you.

54:27

>> Thanks.

54:29

And to exit options market activity, be

54:31

sure to check out the options hub on

54:33

Yahoo Finance's Alphaspace platform,

54:35

which is powered by Unusual Wales.

54:37

Coming up, we have you covered the

54:38

closing bell on Wall Street. Don't go

54:40

anywhere. [music]

54:41

Thank you, man. Thanks for shipping in.

54:42

>> Oh.

54:46

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[music] Heat.

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Heat.

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>> Heat. Heat.

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>> Hey. Hey. Hey.

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Heat

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up

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>> Down.

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Downow.

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>> [music]

60:02

>> Stocks ending the day in the green here

60:04

trading at record highs as markets eye

60:07

Middle East talks and earnings roll in

60:09

our finances Jared Blickery joins here

60:12

with the recap. Jared,

60:13

>> that's right Josh. We got a lot of

60:15

records to talk about and here's the Dow

60:17

that is a record high first record

60:19

closing high in a bit and we're adding

60:21

97 points today or 1.7%

60:24

really nice gap and go day NASDAQ

60:27

composite bit more not a dissimilar

60:30

chart pretty close to the highs of the

60:31

day ending up 2.6% big tech really

60:34

taking the reigns there we're going to

60:36

be talking about that and S&P 500 up

60:38

1.8% even the equal weighted index of

60:41

the S&P 500 up 1.4% 4%. And guess what?

60:44

Both of those are at records. The

60:46

NASDAQ, no. S&P 500, both of those

60:48

calculations, yes. Russell 2000, small

60:51

caps ending at a record high. S&P 600,

60:54

another small cap engine, that is at a

60:56

record. S&P 400, the midcaps, that is a

60:58

record as well. So, you get the point

61:00

here. Uh, lots of lots of records to go

61:03

around. want to show you what's going on

61:04

with the Philly semiconductor in it.

61:06

That is not a record high, but it's up

61:08

six and a half percent. And we might

61:10

have a chance to dig into that in a

61:12

little bit more detail in a minute. But

61:14

I just want to show you the year-to-

61:15

date trade because we're now just

61:17

breaking out of this negative trend

61:18

line. Not quite there yet, but really

61:20

nice 4-day rally off of those lows since

61:23

Wednesday of last week, which is really

61:24

interesting because that was also Fed

61:26

day. Uh I'll show you quickly how the

61:29

30-year wrap today because we've been on

61:31

30-year yield watch. Uh this is a

61:33

year-to-day chart. You can see it broke

61:35

two highs here. Not only the highs of

61:36

the year, highest level since 2007.

61:38

That's why we're watching this, but it

61:39

is down today four basis points to

61:41

5.19%. That's at uh part of this little

61:45

move right there. And that is the right

61:46

direction for stocks right now. And

61:48

checking out the sector action today.

61:50

XLK up 5%. You don't see that often.

61:53

That is the best day in two days because

61:56

two days ago or two sessions ago, it had

61:58

a really great session as well. Uh but

62:00

that is a big number for XLK. That's

62:02

tech. Materials up 2%. Both of those the

62:05

only outperformers from the S S&P 500.

62:08

Industrials also pointing uh to a big

62:10

move today. Financials, communication

62:13

services, those round out your leaders

62:15

here on the top row. To the downside, it

62:17

was all defensive sectors, real estate,

62:19

healthcare, energy, and utilities.

62:21

Utilities the worst off, but only down

62:23

about 610 of 1%. in uh NASDAQ 100 land.

62:27

You can see SpaceX here ahead of

62:29

earnings that uh we're waiting for here.

62:31

That is up nearly 10% today. That is the

62:34

best day ever for SpaceX. In fact, uh

62:37

the second best second best day was

62:39

about uh 7%. So by far in a way the best

62:41

day for SpaceX. It was only yesterday,

62:43

Monday, that we had a record low in

62:46

SpaceX. And I'll just show you that

62:47

chart real quick. We got a little bit of

62:49

time. Let's do a year to date. So that

62:51

gives us the entire history here uh

62:54

since the IPO. And here we go. This was

62:56

day three, that record high. Intraday

62:58

was $225. Went all the way down to

63:01

almost broke 100, but uh that low was

63:04

yesterday. And we are up off of that.

63:06

You can see it's down 16% from that

63:09

opening day uh of $150 I believe

63:12

something in there. Uh Broadcom today,

63:14

chip stock doing really well. Broadcom

63:16

up 6%, Microsoft up one, and Nvidia up

63:19

two and a half, Alphabet and Apple each

63:21

up more than 1%. Apple coming back after

63:24

taking that big post earnings slide last

63:27

week. But, uh, I'll tell you what, I'm

63:29

going to give you uh, I think we'll save

63:30

that. I want to take a look at the Dow

63:32

first. Uh, we got Cisco up 5%, IBM up

63:35

four, Boeing up two and a half%, and

63:37

Visa up 1%. And Josh, do we have time

63:40

for more tech talk?

63:41

>> We sure do. That big tech, uh, Jared,

63:43

you mentioned that. I'm just curious

63:45

when you look at the recent performance,

63:47

what do you see, Jared? Break that down

63:48

for us.

63:49

>> I mentioned last Wednesday because that

63:51

was kind of a pivot low in the market.

63:53

That's uh when the general market kind

63:54

of bottomed and it we we've had a

63:56

blistering rally over these last four

63:58

days. It's been led by tech. So, I'm

64:00

showing you the NASDAQ 100 because

64:02

that's where we see a lot of the mag

64:03

almost all the mag seven well all of the

64:05

mag seven trades and most of the mega

64:07

caps. Um and I was mentioning Apple a

64:10

minute ago. Apple's a standout to the

64:11

downside, down 8.5%. But check out what

64:14

the others have done. And a lot of these

64:15

are on the backs of earnings that were

64:17

really strong. Microsoft up 26%, Amazon

64:20

up 22%, Broadcom up 13%, Alphabet

64:24

earnings were a couple weeks ago, but

64:25

that was up 12% and Nvidia up 12%. The

64:28

Mag 7 are leading once again. It's no

64:31

coincidence, I think, that we're seeing

64:33

markets back at records uh highs today.

64:35

And guess who also is back? The

64:37

semiconductors. Now, they are not at

64:39

record highs, but they have rallied

64:41

strongly off of the lows. And uh aside

64:44

from some of the bigger ones, and these

64:45

numbers are actually low, low double

64:47

digits here. Let me sort by performance.

64:50

And you can see there on the top line,

64:52

we got Lmentum and SanDisk up 45%, Wolf

64:55

up 35, Applied up 35, Marll just right

64:58

there. Uh a lot of outperformers in this

65:02

group. And just when you thought uh

65:04

semiconductors might be leading again,

65:06

I'm going to show you who's also with

65:07

there with them and that is software. So

65:10

we have a number of things working

65:12

together for this rally that we have not

65:13

seen in some time. That is the MAG7, we

65:16

got chip stocks, we got software. It's

65:18

like everything is firing on all

65:20

cylinders. You don't need that 100% of

65:22

the time, but um if I show you a cap a

65:25

chart of the S&P 500, you can see u and

65:28

I've been talking about market rotation

65:29

for a while. This is a year-to- date

65:31

chart. Here is that multimonth, almost

65:34

three monthl long trading sideways in

65:37

the S&P 500. This is when we didn't

65:39

always have that leadership from big

65:41

tech, from the semiconductors, from

65:43

software. We had a little bit at a time,

65:45

but not all three three kind of kicking

65:47

in at the same time. We also had

65:50

leadership from other parts of the

65:51

market. So, point is it looks like

65:53

everything is firing. And there you go.

65:55

We are at record highs once again. And

65:58

um I'll go back and I'll show you a

65:59

different perspective because these last

66:01

four days not only about big tech. Uh

66:04

here's my leaderboard. Uh my sentiment

66:06

markets. These are mostly ETFs. And I

66:08

know we got a lot of strange letters up

66:10

there, but I'll break it down to you in

66:11

words. So the top two spots EW

66:15

is Korea. That's an Korean TF ETF highly

66:18

leveraged to the chip trade. And socks

66:20

number two, that's chip. But we got

66:21

quantum IPOs, solar momentum software,

66:24

mag 7, lots of other stuff in there.

66:26

This is a very broad-based rally, guys.

66:28

>> All right, Jared, thank you. Appreciate

66:30

it. Well, SpaceX second quarter earnings

66:34

are just now across the wire. Let's get

66:36

to Yarao Finances in NEZ Fay for the

66:38

numbers and how they do.

66:39

>> Yeah, Josh, on the top line, you've got

66:41

the second quarter revenue that came in

66:42

at 7.8 billion. The estimate was for

66:45

6.81. So, that was a beat. SpaceX saying

66:49

that it ended the second quarter with

66:52

47.5

66:53

billion in backlog. Also, its second

66:56

quarter AI segment operating loss came

67:00

in at 1.26 billion. That came in under

67:03

what the street was estimating. The

67:05

street was estimating for a loss of 2.39

67:09

billion. Also, second quarter capex

67:11

coming in at $18.37

67:14

billion. The estimate was for 18.58

67:18

billion. So, that's shy of what the

67:20

estimate was expecting. Taking a look at

67:23

second quarter Starlink subscribers,

67:26

those came in at 12 million. The

67:28

estimate was for 12.19

67:30

million. Also, the second quarter loss

67:33

per share coming in at 9 uh per share.

67:38

So, uh second quarter AI segment total

67:40

revenue by the way also coming in at

67:42

$2.56 billion. The estimate was for

67:46

$2.08

67:48

billion. Uh so connectivity segment by

67:52

the way also just want to add that that

67:53

revenue came in at 4.29 billion the

67:56

estimate was for 3.88 billion. So quite

67:59

a few beats on some of these metrics

68:01

that we're looking at from SpaceX. And I

68:04

just want to read you also uh from their

68:06

earnings release. uh they highlight

68:09

demonstrated the power of extreme

68:11

vertical integration delivering revenue

68:13

growth of 92%

68:15

year-over-year across space connectivity

68:18

and AI closed multiple industry-leading

68:21

cloud service agreements resulting in

68:23

4.1 billion on contracted sales uh

68:27

announced the uh uh the agreement to

68:30

acquire cursor for $60 billion to

68:33

accelerate AI enterprise opportunity uh

68:37

so quite and also awarded 6 billion in

68:39

multi-year US government contracts for

68:41

Star Shield. Quite a few metrics. Uh you

68:45

have quite a few beats here I would

68:47

listen to in the earnings call. Uh watch

68:49

for obviously commentary on Starlink,

68:52

that's their cash cow, on their launch

68:54

launch services on the Falcon 9 Starship

68:57

launch and also on that newly integrated

68:59

AI and XAI segment. Josh.

69:01

>> All right, Nez, thank you. Appreciate

69:03

it. For more reaction now to SpaceX

69:06

second quarter earnings, let's bring in

69:08

Nicholas Owens, equity analyst of

69:10

aerospace and defense at Mornings. All

69:12

right, Nicholas. So the the numbers just

69:13

hitting here, but Q2 adjusted Ebida 3.5

69:17

billion. The street had it at 2 billion.

69:18

Looks like Q2 revenue is a beat 7.8

69:21

billion. Consensus was more like 6.81

69:24

billion. Uh but what what do you make of

69:26

the results, Nicholas?

69:28

>> Uh overall they're pretty good. I'm hot

69:30

hot off the press here as you said. um

69:32

on revenue it was like actually a little

69:34

bit light compared to what I was looking

69:36

at but um some of the profitability

69:38

actually looks better but they the the

69:40

real story for me is although this is

69:42

great and we know they have some very

69:43

fast growing businesses um the uh bottom

69:47

line is they're still investing very

69:49

very heavily in this AI project

69:52

>> there's a lot of moving pieces Nicholas

69:54

right it's space it's connectivity it's

69:57

AI is there a metric that you make a

70:00

beline for

70:02

>> uh yeah I think and um you commented on

70:05

them the the subscriber growth is an

70:07

important one because Starlink uh what

70:09

they call connectivity really is the the

70:12

the money driver um in a year or two

70:15

when they stop investing as much R&D in

70:18

the rocket launch business that might

70:20

also be a contributor um so it's it's

70:23

really subscriber growth and then the

70:25

investment uh sort of let's say R&D and

70:28

capex on the AI side I'm is what I'm

70:31

tracking.

70:32

>> To your point, Q2 Starling subscribers

70:34

was a touch light versus consensus. It

70:36

was 12 million. The estimate on the

70:38

street 12.19 million. As you watch the

70:41

trajectory, Nicholas, what are the

70:43

milestones? How do you gauge success

70:45

here? Is it subscribers or what are you

70:47

watching?

70:49

>> Well, that's an interesting point. So,

70:51

we think they have a really pretty good

70:53

runway uh for for growing Starlink over

70:56

time. not as heady as some of the

70:58

estimates that are out there on the

71:00

street, but basically we think that

71:02

within technical constraints, there's a

71:05

couple hundred million dollar

71:07

opportunity for them around um serving,

71:10

you know, internet subscribers in in a

71:13

handful of different markets. Uh the

71:15

milestones are uh let's say

71:18

kind of market share within those

71:21

different markets. Um, and like I said,

71:24

there's there's there's a good decade of

71:25

growth in in it for them without them

71:27

taking over the whole uh telecom

71:29

business, so to speak.

71:31

>> A lot of the company's success,

71:32

Nicholas, at Starship, it's success in

71:34

increasing launch cadence. How confident

71:37

are you in that in the quarters years

71:39

ahead?

71:40

Well, um the the last uh Starship

71:44

launchers was really impressive because

71:46

the the the key factor there is I mean

71:49

first of all they've proven that they

71:51

know how to develop rockets and they

71:53

iterate and test quickly and yes some of

71:56

them blow up etc. But the the the the

71:58

real milestone was how well the upper

72:02

stage uh the actual Starship itself uh

72:05

survived because the the for them to get

72:07

to the cadence that they need to get to

72:10

uh let's say by the end of the decade

72:12

they need to be able to reuse those and

72:14

I mean they're talking about reusing a

72:16

rocket ship like an airplane like go up,

72:19

touch down, refuel, go again. uh they're

72:23

we're a ways away from that, but they're

72:25

that's what they're trying to prove out.

72:27

Um but without that the cadence they

72:30

could potentially do that cadence that

72:31

they need, which is hundreds of launches

72:33

a year, but then they would have to

72:34

build way more of these which is not the

72:37

the the ideal plan.

72:39

>> You know, traditionally you think of

72:40

this company Nicholas, you think

72:41

rockets, you think Starlink, you know,

72:42

but now increasingly you also think

72:44

listen the AI company, right? I mean

72:45

they are signing these AI, you know,

72:48

data center rental agreements with

72:49

Anthropic, with Google. How's a

72:52

financial analyst covering the name,

72:54

Nicholas? Do you think about that

72:55

opportunity? [laughter]

72:57

>> Yeah. Well, full disclosure, I'm the

72:58

aerospace analyst. So, uh I uh you know,

73:01

in February when they merged with XAI,

73:04

uh we had to roll up our sleeves and

73:06

figure out what what all that meant. Um

73:09

and I've been collaborating with my

73:10

colleagues on the you know, on the chips

73:13

and and uh um you know, Neocloud side.

73:16

the um the the way we're looking at it

73:20

right now is in the near term largely an

73:23

infrastructure or uh NeoCloud play where

73:27

eventually they can potent launch a

73:30

bunch of GPUs into orbit and expand the

73:32

capacity that they have and we presume

73:35

that they will rent out whatever

73:37

capacity they don't use for Grock right

73:39

now. I think Brock is still in sort of

73:42

um uh rehab, if you will, uh to to to

73:46

increase its capacity and then address

73:48

some of that enterprise market and the

73:50

other apps. Uh but but in the near term,

73:53

our forecast doesn't really have much to

73:54

do with Grock. It has to do with more of

73:56

these anthropic type rental uh

73:59

arrangements and they're they're very

74:00

lucrative.

74:01

>> Yeah, there's a lot of chatter,

74:02

Nicholas, about a potential SpaceX Tesla

74:05

merger, right? I'd imagine that's going

74:07

to come up on the call. We'll see what

74:08

Musk has to say about it. One, Nicholas,

74:11

you know, do you think it happens? And

74:12

two, I guess if it did happen, would

74:14

that make financial and strategic sense

74:16

to you, Nicholas? Like where would be

74:18

the the biggest synergy there?

74:21

Yeah, the it seems reasonably likely to

74:24

happen. And I think the reasons are that

74:28

uh if you went through the S1, I think

74:30

Tesla was mentioned dozens and dozens of

74:33

times and they mentioned a handful of

74:34

pretty big projects where they're

74:36

already working together and putting the

74:38

two companies together. Aside from sort

74:41

of like just getting all of the Elon

74:44

Musk, you know, adventure

74:47

project under one roof, uh the

74:49

logistical reasons are to be able to

74:50

share engineers, share expertise, IP uh

74:54

facilities, right? So they both want to

74:55

make AI chips. They both want to uh do a

74:58

handful of these types of projects and

75:00

it doesn't make sense to do it twice. Um

75:02

so I think there's reasonable business

75:04

logic to do it. Um the the open question

75:07

is what sort of shareholder adoption

75:10

would you have among Tesla shareholders

75:12

where Elon Musk controls around 20ish%

75:14

of the vote all in um while at SpaceX he

75:19

controls something like 85% of the vote.

75:21

So, it's it's really a matter of what

75:24

kind of um weight in the final company

75:27

would Tesla shareholders want or expect

75:30

to have um you know as as sort of

75:33

compensation for them being absorbed

75:34

into let's say this new um mothership,

75:38

no pun intended.

75:39

>> Nicholas, great to have you on the show.

75:41

Appreciate that instant analysis. Thank

75:42

you.

75:43

>> My pleasure. Thanks.

75:45

>> Coming up, we bring you AMD's latest

75:47

results. That's next on Market

75:48

Domination Overtime.

75:54

>> [music]

76:01

[music]

76:13

>> Heat. Heat. [music]

76:35

Heat. Heat. N.

76:38

[music]

76:46

[music]

76:59

Heat. [music]

77:05

[music]

77:13

Hey, Heat.

77:16

[music]

77:32

>> [music]

77:37

[music]

77:44

[music]

77:52

>> Heat. Heat.

77:56

[music]

78:02

[music]

78:15

[music]

78:24

>> [music]

78:29

[music]

78:30

>> Down.

78:37

[music]

78:56

AMD has just crossed the wire. Let's get

78:58

you those numbers. Q2 uh adjusted EPS

79:02

166 versus an estimate of 162. So that's

79:05

a beat on your bottom line. Look at the

79:07

top line. Q2 revenue 11.54 billion.

79:11

Consensus was 11.31 billion. So beats on

79:14

the bottom and the top. Uh Q2 adjusted

79:17

operating margins better than expected

79:18

there by a hair, 27%. The estimate was

79:21

26.9%.

79:23

Uh so they're holding in there. Uh Q2

79:26

capex number, let's look at that. That

79:28

comes in at 88 million. Analysts had

79:32

thought it was going to be something

79:34

more like 299 million. So 808 versus

79:38

more like 299.

79:41

Um Q3 revenue. Let's look ahead there.

79:43

Uh AMDC is saying to expect somewhere

79:45

between 12.7 and 3.3 billion. The street

79:49

was closer to 12.5,

79:51

but that Q2 capex number again 88

79:55

million versus an estimate of 298.6

79:58

million. I think that goes probably a

80:00

long way to explain why the initial

80:02

reaction here in the after hours were

80:03

down a quick nearly 9% here. Well, for

80:07

more on AMD's Q2 results, let's um get

80:09

Shay Balor here. is Futurum's chief

80:11

market strategist Shay. Um, listen, I'm

80:13

looking at these numbers. They just

80:15

crossed. You have beats on the bottom

80:17

and the top. Margins look like they hold

80:19

in there. The Q3 revenue guide again

80:22

12.7 to 13.3. Street was more like 12.5,

80:26

but this Q2 capex number 808 million.

80:31

Analysts had thought they were going to

80:32

get something like 299 L. What do you

80:35

make of that?

80:37

>> I'm I'm not going to lie. That's a

80:39

shocking upside revision on the capex

80:42

number, but zoom out to what AI advance

80:45

event was for AMD. They essentially said

80:47

their TAM 10xed year-over-year. Now,

80:50

they expect the CPU market to

80:52

drastically get bigger and bigger as the

80:53

Jet AI gets going. But I think the best

80:55

way to understand what's happening to

80:56

the stock price right now being down

80:58

10%. Is it was priced for something much

81:01

closer to a blowout. I think revenue was

81:03

really respectable, beat by $200

81:05

million. EPS also came in 5 cents above

81:08

estimate. So, the company did beat

81:10

across the board, but it wasn't enough

81:12

to reset expectations for a stock that's

81:14

trading near 60 times earnings,

81:16

especially when I hate making this

81:18

comparison because it's not a zero- sum

81:20

game, but you have the king Nvidia

81:23

sitting there right there at 20 times

81:24

earnings. So, I think that you're seeing

81:27

the stock just essentially rallied

81:28

before the reports, and I think there

81:30

was an expectations of exceptional

81:32

results rather than merely excellent

81:34

ones. And the data center number was

81:36

strong but I think it was already

81:37

expected to be strong and that is kind

81:39

of uh the double-edged sword when you

81:43

have uh this company becoming a not just

81:45

a second source of the AI economy but

81:47

becoming a full systems player with a

81:49

massive ramp up for the second half of

81:50

the year and data center now represents

81:53

60% of the total revenue which is kind

81:54

of bonkers if you think about a year ago

81:57

uh which more than double from last year

81:59

as epic demand continues to accelerate

82:01

that I do think you have to like kind of

82:03

disassociate

82:04

stock price reaction to business

82:06

execution cuz on the business front

82:08

they're clearly executing. They want to

82:09

reinvest in order to meet all the demand

82:11

they're seeing. But on the stock front,

82:14

it was priced for an exceptional results

82:16

and this was not an exceptional result.

82:18

I guess sh if I was like an AMD investor

82:20

and I saw a Q2 capex number, right, that

82:24

was this much bigger than what the

82:27

street had penciled in. I I guess I'd

82:30

want to know like, okay, are are you

82:31

spending this much, Lisa Sue, because

82:34

you know, demand is just that red hot

82:37

you feel like or or is it because you

82:39

feel like you have to because

82:41

competition is that redot? But what

82:43

would you want to know, Shay, about

82:45

that?

82:46

I I think aentic AI completely changed

82:50

AMD's plans this year. I think the most

82:51

underappreciated part of Andy's story is

82:53

remains epic. Aentic is going to

82:55

continue to increase CPU demand. At the

82:57

same time, Helios also expands the

83:00

accelerator and rack scale opportunity.

83:02

So now you have AMD just having this two

83:05

massive opportunities co colliding at

83:07

the same time where AI agents do more

83:09

than just generate answers. Now they're

83:11

going to retrieve data, call tools,

83:13

manage security, all the jazz around

83:15

Agentic AI. That creates a lot more work

83:17

for CPUs even as GPU demand continues

83:19

growing. So I think that AMD just

83:22

increased their estimates like I said

83:24

just a couple weeks ago uh for the CPU

83:26

market in 2030 to hit $220 billion. Keep

83:29

in mind just a year ago they estimated

83:31

being $26 billion. So because manage

83:34

clearly believes that Genta AI creates

83:36

entirely new categories of CP demand,

83:38

they kind of want to put all their chips

83:40

in place to get as much of that demand

83:42

as possible. So I don't view it as

83:44

competition and they're just having this

83:47

prisoners dilemma like hyperscalers are.

83:49

I purely believe that there's just a ton

83:51

of demand right now, especially for Epic

83:53

and they have a second half uh kind of

83:56

early rack scale story that they really

83:57

need to invest in. You know, AMD has

84:00

been rolling out new products, Shay, and

84:02

CEO Lisa Sue. I I was just talking about

84:04

that with my colleague Dan Howie. I

84:06

mean, she's been talking tough, right? I

84:07

mean, she's been saying, "Listen, you

84:09

know, my products can outperform

84:12

Nvidia's products." Is that how you see

84:14

it, Shay?

84:16

>> I will say I think Lisa is the only one

84:18

or AMD is the only one that's really

84:20

used that reference. I I don't

84:22

personally see it, but it again, it

84:24

doesn't have to be zero sum. I think

84:25

that that's purely just a narrative,

84:27

which is fine. That's typically how it

84:28

goes. Uh, however, I would say that

84:33

if you want to do a comparison, it was

84:35

really nice to see AMB's data center

84:37

growth beat Nvidia's data center growth

84:38

from last quarter. Like I really wanted

84:40

the data center business to grow triple

84:42

digits cuz Nvidia grew 92% last quarter.

84:45

I think the optimization angle that Lisa

84:47

is talking about the tokenization of

84:49

being most efficient, it is useful. It's

84:51

a great narrative. I just don't see real

84:53

proof of that yet or third party proof

84:56

on that's really the case. But again,

84:59

you have the cousins attacking each

85:00

other trying to become the king of this

85:03

AI buildout. So, I think it's just a

85:04

little friendly fun of making that

85:06

comments.

85:07

>> Yeah, we we should know. Listen, I mean,

85:08

expectations were skyhigh, Shay. This

85:11

stock was up more than 140% year-to-

85:14

date into this print, right? Um I'm and

85:17

part of that of course I is all the

85:20

excitement around AMD CPUs, right? But

85:23

Intel also makes CPUs. Shay, what what

85:25

are AMD's what are Lisa Sue's advantages

85:27

there?

85:29

>> Yeah, I think that I don't want to be

85:32

like aggressive with this, but I just

85:34

think AMD has a better execution than

85:37

Intel. I think that Intel,

85:40

they've they've done a great job on

85:43

signing deals and I think that's credit

85:46

to the new CEO. Like he's done an

85:47

incredible job landing these deals, but

85:50

they still need to execute on them. And

85:52

I think that right now in Intel's the

85:55

reason they be on their CPU business was

85:57

because they raised the prices, the ASPs

85:59

of their units. AMD, the reason they're

86:01

beating all these like CPU estimates is

86:05

because they're moving units, not

86:06

raising the prices. I think that's a

86:07

pretty big distinction between the two

86:09

companies. And I think that again, it's

86:11

clearly because AMD has a much better

86:13

execution store than Intel. on it. I'm

86:15

not saying that Intel is a negative

86:16

because of that, but you can only raise

86:18

prices so much, especially in a cyclical

86:22

space like CPUs that you really would

86:24

like to see Intel also move the units,

86:27

not just rely on raising the prices

86:28

because that is going to be temporary

86:30

where AMD they're moving units not

86:32

raising nearly as much as the ASPs like

86:35

Intel is.

86:36

>> Finally, Shay, I only have about 60

86:37

seconds left, but just curious, Nvidia

86:39

earnings on deck right later this month,

86:41

August 26. Are there readroughs, Shay,

86:44

in your opinion to that Nvidia report

86:45

from this AMD report?

86:48

>> Yeah, I think the data center growth I

86:50

think that um you're seeing that in

86:52

Jensen a couple months ago started

86:54

pushing towards CPUs. So I think before

86:57

that AMD was like one of the only

86:58

companies in the world that was selling

87:00

both x86 service CPUs and rack scale

87:02

GPUs directly into the AI buildout. So I

87:05

do think that this report, the strong

87:07

reports, expectations are high, but it

87:08

was a strong report is going to show

87:10

that the growth curve is bending closer

87:12

and closer to just having a full system

87:15

and both engines are just really firing.

87:17

So I do think Nvidia is going to benefit

87:19

from the CPU business that it sounded

87:21

like they just flipped the switch

87:22

overnight to create this $20 billion

87:24

annual business when in reality it was a

87:26

lot longer than expected. But I do think

87:27

there's a good read through, especially

87:29

if the second source of the AI buildout

87:31

is showing the stronger numbers. Imagine

87:33

what the king is going to do. Shay, as

87:34

always, it's so good to have you on the

87:36

show. Thank you, sir.

87:38

>> Thanks for having me.

87:39

>> Coming up, I speak to the CEO [music] of

87:41

Malibu Boats about the health of the

87:43

luxury consumer. That's next on Market

87:45

Domination Overdrive.

87:47

That is

87:52

[music]

88:00

[music]

88:05

>> [music]

88:13

[music]

88:19

[music]

88:30

[music]

88:38

[music]

88:45

[music]

88:51

[music]

88:57

[music]

89:05

[music]

89:10

[music]

89:33

[music]

89:39

[music]

89:48

[music]

90:05

[music]

90:07

>> Hello and welcome to asking for a trend.

90:10

While tight budgets have buyers cutting

90:12

back on big ticket items, affluent

90:14

consumers are still shelling out for

90:16

high-end experiences. in Malibu Boats

90:18

CEO Steve Manto is here to break down

90:21

what summer demand out on the water

90:22

reveals about the real state of broader

90:25

consumer confidence. Steve, it's good to

90:27

see you. Maybe start there, Steve, kind

90:29

of high level because we're always

90:30

looking for for line of sight, Steve, on

90:32

the American consumer, and you certainly

90:34

have that. And so I I'm curious just

90:36

based on what you see, Steve, on your

90:38

business, like how would you kind of

90:40

describe the American consumer right

90:42

now? Like how confident, how cautious,

90:44

what do you see?

90:46

Yeah, thanks for having me, Josh. Um,

90:48

we're seeing the, like you just said,

90:50

the luxury consumer, the people are

90:51

buying at the upper end of the market

90:53

continue to uh drive upgrades in their

90:56

boats, choosing new boats. Um, we we

90:59

service from day uh venture dayboats to

91:02

runabouts to surf to uh luxury fish all

91:06

the way to technical fish. And what

91:08

we're seeing is that consumer on the

91:10

upper end is still strong, still using

91:13

their boats even with the price of gas.

91:15

So we have seen a stabilization in the

91:18

market at the upper end. We still do see

91:20

that payment buyer sitting on the

91:21

sidelines

91:22

>> when oil prices jump. Steve, I'm just

91:24

curious there. What if at all uh do you

91:27

see there in terms of impact effect on

91:29

the business?

91:31

>> We didn't see a correlation to retail

91:33

boat sales. We still saw people buying

91:36

boats. you know, when you think about

91:37

the boats we offer and the at the luxury

91:40

end of the scale, the moving up a dollar

91:42

a gallon isn't really going to change,

91:44

you know, the buying decision. What we

91:46

do see is people are still using their

91:47

boats. You can tell through parts

91:49

purchases, time on the water, docks, and

91:52

so on. Um, even even the people who

91:55

haven't upgraded a boat, they're still

91:57

using their boats. They can use it more

91:59

wisely. Maybe they're not going down the

92:01

lake or the waterway at wide openen

92:02

throttle and they're still having fun

92:05

with the experience of boating with your

92:07

family on the water even with a little

92:08

higher uh fuel prices.

92:10

>> Who's buying your boat, Steve? Like

92:12

what's the customer, the average demo?

92:14

Like is it, you know, is it families,

92:16

retirees, middle income, high income?

92:20

>> Yeah, it's all across the spectrum as

92:21

you just articulated. So our average,

92:24

you know, we're we're that middle, you

92:26

know, 45 to 60 year old family, people

92:29

who want to spend time on the water,

92:32

that experiential is really driving, you

92:35

know, that that opportunity to be on a

92:36

boat, exploration and fish, fishing is

92:39

always strong. If you're fishing is in

92:41

your blood, I think you're committed to

92:43

it and that's part of your life, your

92:45

lifestyle and so forth. So we we see

92:47

that uh you know a fluid customer in

92:50

that 45 to 60 uh Denmark.

92:53

>> Is there one boat right now, Steve, that

92:55

is you know your most popular, your most

92:57

soughta?

92:59

>> We do pretty well with market share

93:01

across all of our lines. Um our pursuit

93:04

brand, our uh cobalt and Malibu brands

93:07

are doing well with uh with their market

93:09

share. We just acquired a brand Sax Door

93:12

uh yachts in uh built in Poland and

93:15

Finland. That adventure dayboat is a

93:17

segment that's growing. That's that that

93:19

boat that people are spending time with

93:21

families. Consider it a living room on

93:23

the water. That's what they're really

93:25

chasing as a as a family and and we have

93:27

that line that's doing really hot. But

93:29

the boat you're seeing, our Pursuit line

93:31

is doing really well. Cobalt's a a

93:33

strong and and pursuits are also strong

93:36

uh market share players. That is a

93:38

beautiful boat we're showing right

93:39

there, Steve. That's gorgeous. How much

93:41

does a boat like that cost?

93:43

>> Uh, a boat like that is going to be

93:45

right around the $450, $500,000

93:48

uh price tag, depending on what features

93:50

and appointments that you want on it.

93:52

>> During the pandemic, Steve, I remember

93:54

boating just kind of like exploding and

93:56

for very obvious good reasons. I mean,

93:59

what happened after that, Steve? You

94:00

fast forward to 2026, did those trends

94:02

sort of did they kind of normalize,

94:04

Steve?

94:05

Yeah, what we saw after the 24 and 25

94:08

season, we did see that kind of pullback

94:11

after co 20 late 25 and the 26, we're

94:14

seeing that stabilizing effect. You're

94:16

getting back to some normal on the upper

94:19

end of boating where we play. Uh like I

94:21

said, the payment buyers still on the

94:23

sidelines a little bit with, you know,

94:25

fuel prices don't directly correlate to

94:27

boat sales. However, it does pressure

94:29

the economy, right? It pressures the

94:31

local homeowners economy be price of

94:33

groceries, gas to get to work and so on.

94:36

So we we have seen that payment buyer

94:38

still on the sidelines, but we've

94:40

stabilized on the brands. We're at the

94:42

premium end of the scale and we're

94:44

continuing to uh to uh be able to

94:47

service those types of customers when

94:48

they're in for an upgrade or a new boat.

94:51

>> I would always assume Steve boats would

94:52

be like one of the first purchases that

94:54

that might get cut, you know, if the

94:56

economy feels shaky, if the labor market

94:59

gets wobbly. Is that true, Steve? Is

95:01

that a Is that a fair assumption I'm

95:03

making?

95:04

>> No, actually it really goes to lifestyle

95:07

and how you are going. Is boating part

95:09

of your your world? Think Florida where

95:12

you know it's such a big part of the

95:14

community when you move to Florida. If

95:15

you move to a uh you know on the water

95:19

uh house or you're on a big lake or a

95:21

river, you are incorporating boating

95:23

into your lifestyle. So therefore,

95:25

you're committed to it and that's part

95:26

of how who you are and what you do as a

95:28

family and you're looking for those

95:31

types of boats. You know, that makes

95:32

that a fun opportunity.

95:34

>> I mean, consumers have so many options

95:36

when they spend discretionary dollars,

95:38

Steve. You know, it's travel, cruises.

95:40

Why do you think boats continue to

95:43

resonate like they do?

95:45

>> It still gets around the family unit.

95:47

Think about a boat, be it fish, be it

95:49

pleasure boat, surfing or what have you.

95:51

You know, you can get five, 10 people on

95:53

a boat. You have a great opportunity to

95:56

spend time with each other, quality

95:58

time, either exercising or relaxing or

96:00

fishing. And you know what, Josh? Like I

96:03

tell some people, if you're going to

96:04

take a selfie as a young kid and you're

96:06

in your teens or in your 20s and you

96:08

want to put that up on social media,

96:10

isn't it better to be on a boat to take

96:12

your selfie than it is to be in your

96:13

house? Right. So voting has all the

96:16

aspects and enjoyment of family time and

96:18

I think that's why it still sticks. I

96:20

read, Steve, in a previous life you were

96:22

selling motorcycles and off-road

96:23

vehicles and before joining Malibu. I'm

96:26

just curious like across all those

96:28

products, you know, you've been in the

96:29

business a long time, Steve. I mean, are

96:31

there any kind of common themes you've

96:34

learned about consumer behavior?

96:37

>> It's all about experiences. If you weave

96:39

the common thread through all those

96:41

riding motorcycles around the world and

96:43

boating and off-road vehicles, it gets

96:46

back to experiences with friends and

96:48

family, but it's also you being, you

96:51

know, in in touch with nature and that

96:53

ability to really observe some of the

96:56

best uh uh visuals in the world in terms

96:59

of uh either on the road, off-road, or

97:02

on water. So that's kind of always the

97:04

kind of things the outdoor folks just

97:06

love to experience, you know, all that

97:09

nature has to offer.

97:10

>> Those both look beautiful. Steve, thanks

97:12

so much for your time today. So good to

97:13

have you on the show.

97:15

>> Appreciate it, Josh. Take care.

97:16

>> Stick around. Much worse for a trend.

97:18

That's still to come.

97:24

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97:31

Heat. Heat.

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97:56

>> [music]

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98:50

>> Hey, hey, hey.

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>> [music]

99:06

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99:19

>> Heat. Heat.

99:29

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Heat.

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Heat. Heat.

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>> Down.

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Down.

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>> [music]

101:24

>> Cyber attacks have hit water systems in

101:26

at least seven US states. Evidence is

101:29

reportedly pointing to cyber actors from

101:31

Iran. Yaru Finance's Julie Heyman spoke

101:33

to Crowdstrike's head of

101:35

counteradversary operations about these

101:37

attacks and more. I do want to start by

101:39

asking about these water systems though,

101:41

Adam, because we've gotten like a

101:43

sprinkling of these types of reports

101:45

over the past several years about, you

101:47

know, sort of physical struct uh

101:49

infrastructure being threatened. Um, how

101:52

common is this? How much do we actually

101:54

hear about it as opposed to how often it

101:56

actually happens? And are we good enough

101:58

at trying to stop those kinds of

102:00

attacks?

102:02

>> Yeah, thanks for having me. Um, you

102:03

know, I think with these uh reports

102:05

coming out, it seems to impact what we

102:07

would call OT or operational technology

102:09

systems. These are things that are

102:12

really kind of interacting with the

102:14

water or or the flow of the water and

102:16

things like that. We've seen these

102:18

attacks uh occasionally before. It's not

102:20

very common. In the past, we've seen

102:23

this same uh looking threat actor uh

102:26

which we track as Hydrokitten targeting

102:28

uh you may recall that they targeted

102:30

some water treatment facilities in

102:32

Equipa, Pennsylvania uh and things like

102:34

that. And it was at the time it appeared

102:37

to be um largely opportunistic. They

102:40

they found a system that had a password

102:42

that they knew and they were able to

102:44

take advantage of that. And you know, I

102:46

think with this threat actor in general,

102:48

they they tend to have fairly

102:49

opportunistic attacks. Gotcha. As

102:52

opposed to it being Iran, which is, you

102:54

know, probably after something else than

102:56

than some of the other groups that are

102:58

looking maybe for, you know, monetary

103:01

payments or or what have you.

103:03

>> The last time around it was really a

103:05

defacement. So, they defaced what we

103:07

call an HMI or human machine interface

103:10

and they put uh language that was, you

103:12

know, consistent with their political

103:13

messaging on that device. So, it wasn't

103:16

um they weren't manipulating the flow of

103:19

anything uh that we saw. It was it was

103:21

largely them trying to kind of get

103:23

visibility.

103:24

>> Do these think these kinds of

103:26

operational attacks will become more

103:27

common?

103:29

>> I hope not. I think that there's a lot

103:31

that goes into securing these systems,

103:33

making sure that they're not accessible

103:34

to the internet and making sure that

103:36

they have really the the right uh

103:38

controls in place. And you know this

103:41

should be a wake-up call to everybody

103:42

that we need to make sure that these

103:44

systems are not connected directly to

103:46

the internet that they have secure

103:47

passwords that they have mitigating and

103:49

compensating controls in place so that

103:51

threat actors from Iran or anywhere else

103:54

can't access them remotely.

103:56

>> Um Adam let's get to your threat hunting

103:58

report. Um because it feels like the the

104:00

era that we perhaps have feared is here

104:02

in terms of um AI enabled um hacking

104:07

attempts. I guess the the compensation

104:09

or or what is a little bit more

104:11

reassuring is that the good guys have AI

104:14

as well. So when you have that on all

104:17

sides, AI enablement on all sides, how

104:19

does that affect threat detection?

104:23

>> Yeah. So one of the key findings from

104:25

the report was that in the last couple

104:27

of months, we found that the number of

104:29

detections that were triggered by humans

104:31

versus AI, uh the AI is up 2.5 times

104:35

what we've seen from humans. And that's

104:37

not to say AI in an attack scenario, but

104:40

people using AI for vibe coding or for

104:43

uh doing kind of day-to-day activity on

104:45

their system that's triggering security

104:48

alerts. So, you know, we're seeing that

104:50

as a marker that AI use is on the uptick

104:53

by legitimate users. We've also seen

104:56

threat actors adopting AI in every

104:58

aspect of their attack. for example,

105:00

North Koreans getting jobs all over uh

105:03

in particular the the the US but all

105:06

over the world where they are using AI

105:09

to generate LinkedIn profiles and

105:11

resumes to make them attractive to

105:13

recruiters and then getting actual into

105:16

the interview process and ultimately

105:18

getting jobs to get revenue that they

105:20

funnel directly to their weapons

105:22

program. And they use AI for generating

105:24

those resumes, for answering questions,

105:26

deep fake technology to change their

105:28

appearance while they're doing the

105:29

interview, and then ultimately using the

105:31

AI to do the job that they're hired to

105:33

do.

105:34

>> Wow, that is incredible, Adam. I mean,

105:37

how how often is that happening? How big

105:40

of a threat is something like that? And

105:41

and how often is it working?

105:44

>> It's uh more than daily. uh we we've

105:46

tracked in July I think we tracked

105:48

something like 40 something uh incidents

105:50

of North Koreans attempting to get

105:53

remote IT jobs. So this is something

105:55

that happens every single day.

105:57

>> Um the other thing that strikes me is

105:59

how quickly things are happening right

106:01

that was another finding from your

106:03

report. You know whereas before it might

106:06

take bad actors weeks to get into a

106:09

system now I imag that time is very

106:11

compressed. Right.

106:13

Well, I think you know the thing that's

106:14

really interesting is is what you might

106:16

call the mythos moment, right? Which is

106:18

where we've seen the use of AI for

106:21

finding vulnerabilities that can be

106:23

exploited. And we've seen China execute

106:26

these in under 48 hours, in some cases

106:29

under 24 hours. When a vulner

106:31

vulnerability gets disclosed, they're

106:33

using AI and other systems to

106:36

effectively figure out how to quickly

106:38

weaponize that so that they can feel

106:39

that new vulnerability. And when you

106:42

think about what that means, most

106:43

organizations typically have a 30-day

106:46

patch window where a vulnerability comes

106:47

out and and they kind of say, "Okay,

106:49

we're going to test it and we're going

106:50

to patch it within the next 30 days."

106:52

That's obsolete. You need to be doing

106:53

that within, you know, 24 to 48 hours

106:56

now. And the number of vulnerabilities

106:57

that we're seeing is going up

106:59

substantially. Uh again, probably

107:02

because of AI vulnerability research.

107:04

And so what we're finding is kind of a

107:06

perfect storm of more vulnerabilities,

107:09

more exploits, and shorter times for

107:11

organizations to patch those

107:12

vulnerabilities. So it's it's getting a

107:14

little bit hairy.

107:15

>> Um we're also seeing um AI as a tool to

107:18

theft in some cases, right? You talk

107:21

we've talked about some of the other

107:22

reasons why bad actors are getting in

107:24

North Korea. There's a political um you

107:27

know uh motivation there. the other

107:29

water uh hacking that you mentioned also

107:31

having a political motivation but

107:33

obviously stealing money is part of the

107:35

motivation too. So what are you seeing

107:37

there?

107:38

>> Yeah. So um one of the the techniques we

107:40

talk a lot about is LLM jacking which is

107:43

when a thread actor steals access to

107:45

your frontier model or or whatever

107:48

you're using for AI. And then uh what

107:50

comes as a result of that is cost

107:53

harvesting where they actually start to

107:55

use your AI uh right so they're burning

107:57

through your tokens and in one case we

107:59

found within 2 minutes the thread actor

108:01

had stolen credentials to an LLM and

108:04

fired off 200,000 requests to that LLM.

108:07

So there's a whole market a whole

108:09

ecosystem of people buying stolen

108:11

credentials to AI systems and Frontier

108:14

models so that they can use somebody

108:16

else's credits to accomplish their

108:18

tasks. Adam, all of this stuff is always

108:20

really scary to hear about all of these

108:22

things happening. Um, how quickly is

108:25

Crowdstrike and and you know, other um

108:28

other cyber security companies in the

108:30

ecosystem are are do you all feel I

108:33

mean, you're not going to say you're

108:34

not, but you know, how quickly are you

108:36

guys developing to deal with all of

108:38

these threats that are moving so quickly

108:40

and emerging?

108:42

>> You know, the that's probably the good

108:44

news here is that we are using AI. We're

108:47

using all these capabilities to keep

108:48

pace with the adversary. And in this

108:50

report, we go through kind of a back and

108:53

forth with a thread actor who within

108:55

seconds of gaining access, the Overwatch

108:57

threat hunting team was able to track

108:59

that they were registering a new device

109:02

for multiffactor authentication. uh they

109:04

were able to work with that customer and

109:06

evict that threat actor from the network

109:08

within minutes which is really showing

109:11

that if you have the right people and

109:12

the right tools in place you can have

109:15

successful outcomes uh even with the

109:17

speed of things increasing. So it's

109:18

really about having you know the right

109:20

capabilities and the right the right

109:22

personnel on that problem and having

109:24

things like threat hunting really gets

109:26

you ahead of the threat actors.

109:28

>> Thank goodness for that um Adam.

109:30

[clears throat] Thanks very much.

109:31

Appreciate it.

109:32

Thank you.

109:34

>> Stick around. More as trends still to

109:36

come.

109:42

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Heat. Heat.

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>> [music]

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>> Heat.

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Heat.

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>> [music]

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>> Down.

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Down.

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>> [music]

113:43

>> Time now for to watch Wednesday, August

113:45

5th. It's another big day on the

113:47

earnings front. Starting off with Eli

113:48

Liy, pharma giant reporting second

113:50

quarter earnings before the markets

113:52

open. Analysts focusing on the continued

113:53

strength of Marjaro and the roll out of

113:55

its new obesity [music] pill. Mjaro

113:57

sales remain a major growth engine, but

113:59

expectations for the new pill have come

114:01

down amid a slower Medicare roll out.

114:04

Disney also reporting query results on

114:06

Monday morning. Now it's expecting the

114:07

parks business to remain solid driven by

114:09

improving domestic attendance and higher

114:11

guest spending. [music] But studio

114:13

results could be pressured by weaker

114:14

content performance. In aftermarkets

114:16

close on Wednesday, SanDisk announcing

114:18

results. Expectations are high after

114:20

strong results across the memory

114:22

industry with AI demand driving higher

114:24

storage needs. And amidst the earnings,

114:26

we're also going to getting fresh labor

114:28

data. The June ADP employment report is

114:31

coming out on Wednesday. Econom is

114:32

forecasting private payrolls to slow

114:34

compared to May. [music]

114:36

That's a wrap on today's show. Thanks

114:37

for watching.

114:43

Heat. Heat.

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[music]

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Heat.

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Heat. [music]

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Heat. [music]

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Heat. [music]

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>> [music]

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>> Heat. Heat.

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>> [music]

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>> Hey,

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hey, hey.

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>> [music]

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>> Heat. Heat.

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>> Down.

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Down.

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>> [music]

Interactive Summary

The market saw a significant rally driven by strong corporate earnings and renewed optimism surrounding the AI trade. Major indices, including the Dow, S&P 500, and Russell 2000, hit record highs. Semiconductor companies and mega-cap tech stocks led the gains, while defensive sectors underperformed. Additionally, the video covers major earnings reports from SpaceX and AMD, discusses the impact of AI on the labor force, analyzes the effects of the weak yen on Japanese exporters, and examines recent M&A activity and hedge fund volatility.

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