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Warsh’s Fed, Vibe Coding, Geothermal Energy, Vegas Bets Big | Wall Street Week

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Warsh’s Fed, Vibe Coding, Geothermal Energy, Vegas Bets Big | Wall Street Week

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1262 segments

0:02

Bloomberg Audio Studios podcasts, radio,

0:06

news.

0:21

This is Wall Street Week. I'm David

0:22

Weston bringing you stories of

0:24

capitalism. If you can think it, you can

0:27

code it. Generative AI brings the brave

0:29

new world of Vibe coding to a project

0:32

near you. Plus, we're going to need a

0:35

lot more power to run all that new Vibe

0:37

coding. And it turns out that we may get

0:40

some of it from the ground under your

0:42

feet. And Las Vegas, it's not just for

0:45

gambling anymore.

0:48

But we start with the Fed, which held

0:50

its monetary policy meetings this week,

0:52

even as it waits for its new chair to be

0:55

confirmed by the Senate. Glenn Huard was

0:57

the head of President George W. Bush's

0:59

National Economic Council and then went

1:01

on to run the Colombia Business School

1:03

where he is now on the faculty.

1:06

>> So Glenn, we had the the Federal Open

1:09

Market Committee meeting and we heard

1:11

from Chair Powell. Uh they basically

1:13

didn't do anything. Uh did they have a

1:15

choice?

1:16

>> No, but but I think they did do a few

1:19

things. So they certainly didn't change

1:20

the funds rate. I don't think anybody

1:22

expected that or at least reasonably.

1:24

The battle, of course, the dissents that

1:26

happened were over the Fed's statement,

1:28

or at least what people perceive the

1:30

Fed's statement to be. Is there an

1:32

easing bias? Is there a tightening bias?

1:34

I think it's fair to say under the hood,

1:37

members of the FOMC are conflicted. Some

1:40

view that the next move is going to have

1:42

to be flat for an extended period,

1:44

possibly even up. Others, like Governor

1:47

Myron, have a different sign. So, that's

1:49

really what happened. One of the things

1:51

I couldn't figure out is the easing bias

1:53

language that they descended from the

1:54

three members. I looked at the statement

1:56

carefully. I didn't find those words in

1:58

there.

1:58

>> No, I I don't think it's there in in

2:00

black and white. I I think probably this

2:02

is a reading the room kind of

2:04

observation of people going on record

2:06

that we we really are uncomfortable with

2:09

a view that it at the next FOMC meeting

2:12

or maybe even the meeting after that

2:13

that a cut is forthcoming. Uh they did

2:16

say in the statement that there was

2:17

extreme uncertainty coming out of the

2:19

Middle East because of the Iran war. Uh

2:22

is that what is driving the concern

2:24

about about rates or was there a

2:26

pre-existing issue with inflation?

2:28

>> I would have to give you the classic

2:29

economist answer of yes and no. So yes,

2:32

the uncertainty is a problem. Oil prices

2:34

are high. The US economy is less

2:36

energyintensive, but will still raise uh

2:39

at least headline inflation. Let's

2:41

remember inflation was stuck well above

2:43

the Fed's target. before February 28th.

2:46

So Iran adds to the problems the Fed

2:50

faces, but it's not really the core

2:52

problem. I think what's vexing the Fed

2:54

is why it was more difficult to get

2:56

inflation down before Iran. But yes, the

2:58

uncertainty matters.

3:00

>> What about inflation expectations?

3:01

Because I've seen some indications now

3:03

they may be rising in the United States

3:04

and even in Europe.

3:05

>> So far, I think they're relatively

3:07

anchored. That's a good news for the Fed

3:09

and that's far more important for the

3:11

Fed than whatever the inflation number

3:13

by whatever measure they look at is

3:15

today. But I think the risk is if the

3:18

war continues and prices remain elevated

3:21

and of course we still have tariffs

3:22

working their way through the system

3:24

even if the ultimate effect is to

3:26

stabilize. Uh that's going to be an

3:28

inflation problem and that could unhinge

3:30

expectations.

3:32

>> So what does this mean for the new chair

3:34

coming in Kevin Worsh?

3:36

>> Good luck. I mean Kevin Worsh is

3:38

actually well suited for this moment. He

3:41

has outstanding small P political

3:44

skills, consensus building skills. He's

3:47

very smart. He knows these issues. I

3:49

think his challenge is going to be

3:51

looking at the men and women around the

3:53

table, whether it's the governors or the

3:55

FOMC, and figuring out how to bring them

3:57

together. That's going to require two

3:59

things. I think one is his skills, which

4:01

as I said he has, but another's the

4:03

theory of the case. I mean, how do you

4:04

talk about the economy? I think that'll

4:07

have to be job one for our new chair.

4:09

>> Some are interpreting that threeperson

4:11

descent as putting a marker down really

4:14

almost against President Trump uh with

4:16

President Trump's pressing for lower

4:17

rates. So, don't go too far too fast.

4:20

>> I'm not sure that that's true. I mean,

4:21

it is true President Trump would prefer

4:23

lower rates. He certainly has told us

4:25

all that. Uh I think it's more a matter

4:27

of a sincere difference of opinion and

4:29

policy. And given where we are right now

4:32

with the labor market softening a

4:33

little, yet we have a robust economy,

4:35

inflation is stuck, you can see why

4:37

people are wondering, is the glass half

4:39

full or half empty. When you have

4:42

uncertainty more often than not,

4:44

watching and waiting until you get more

4:46

information is the right answer and I

4:48

think it is here.

4:49

>> Is it a symmetric risk right now as you

4:51

look at it or or is there a real risk of

4:53

stagflation where you actually could

4:55

hurt growth and still have inflation?

4:57

Well, there's certainly a risk of

4:58

stagflation, but I would be more worried

5:00

about inflation at the moment. The

5:03

underlying economy is very good and the

5:05

the GDP numbers we got for the first

5:08

quarter are reassuring still about the

5:10

pace of AI investment and about final

5:12

sales even though the headline print is

5:14

a little below expectations.

5:17

>> Kevin Walsh comes in saying that he

5:19

thinks there is a room for rate cuts

5:21

because of AI. How does that work?

5:25

Well, the story if it's correct is what

5:28

I would call more of a long run story.

5:29

So AI in the long run uh certainly has

5:32

the potential to be disinflationary. It

5:34

reduces the cost particularly in service

5:37

producing sectors. Think about the cost

5:40

of producing what lawyers do or

5:42

accountants do or engineers or dare I

5:44

say economists. That could all be

5:46

disinflationary. The problem is that's

5:47

not today and it's not tomorrow and it

5:50

may not even be a year or two from now.

5:52

The immediate effect of AI is the

5:55

aggregate demand effect of building data

5:58

centers. The investment numbers that

6:00

showed up so robust in in GDP. All else

6:02

equal that raises not lowers the real

6:05

interest rate and inflation is stuck. So

6:08

I think um incoming chair Worsh's story

6:11

makes sense as a potential longrun

6:13

hypothesis. I don't think it could be a

6:15

theory of the case for cutting rates

6:17

now. to cut rates. Now, you'd have to

6:19

have a view that the economy's weakening

6:20

is such that that trumps small T, the

6:24

inflationary pressures.

6:26

>> There are other parts of the Fed's job

6:29

besides just rates. Uh what do we expect

6:32

from Kevin Wars's chair in the other

6:34

parts?

6:35

>> Well, I think he's signal that he wants

6:36

to take a look at least in a couple of

6:38

areas. One is the size of the Fed's

6:40

balance sheet, which of course ballooned

6:42

enormously since the global financial

6:44

crisis. That's not really as simple as

6:47

saying, do I want a big balance sheet or

6:48

a small balance sheet because the Fed

6:51

has proven to be the market maker of

6:53

last resort in the Treasury market

6:55

multiple times and the Treasury market

6:57

is the market for the world's safe

6:59

asset. Regulation perhaps unwittingly

7:02

made it hard for private market makers

7:04

to do the job they could be doing. So, a

7:06

Fed balance sheet is pretty important,

7:08

but I do expect Kevin Worsh to spend a

7:10

lot of time there. The other is

7:12

financial regulation. Especially since

7:14

the global financial crisis, the Fed got

7:16

more territory in financial regulation.

7:19

So there may be a look, do we have the

7:21

right rules? Do we have the right

7:23

capital regime? I would expect uh

7:25

incoming chair wash to take a hard uh to

7:28

take a hard look at that. A warning

7:30

though, regulation unlike monetary

7:33

policy is a political subject and so do

7:36

expect Congress do expect the president

7:38

to with good merits have political views

7:41

to balance. A

7:42

>> further question that's been raised by

7:44

some other members of the Fed right now

7:45

is the relationship of the regional uh

7:48

Fed to the national Fed in fact maybe

7:51

there should be more power or authority

7:53

or responsibility taken into Washington.

7:56

Does that make sense?

7:57

>> I don't think so. So I I think the

7:58

decentralized structure of the Fed is a

8:00

feature not a bug. Remember the history

8:04

lesson for the Fed is it was done to get

8:07

points of view throughout the nation.

8:09

We're a nation of different business

8:10

sectors and different geographies. That

8:13

said, there is a point that I think

8:15

regional presidents may be communicating

8:17

too much in any organization.

8:20

The top of the organization needs to set

8:22

the tone internally and externally. So

8:25

having a lot of debate inside strikes me

8:28

as a good thing. Doing it out in the

8:29

press or on television, I'm I'm less

8:31

persuaded that's a good thing.

8:33

>> There's a good deal of talk about what

8:34

uh a chair war will do in terms of for

8:38

example forward guidance uh and even

8:40

number of news conferences that are held

8:43

the dot plot things like that. How much

8:44

of that is in the authority of the

8:46

chair? Does that need to be voted on by

8:48

the full fed?

8:49

>> Well, he would need to get his

8:50

colleagues support, but I I suspect he

8:52

could get it. I I count myself as among

8:53

those who wonder what the utility of the

8:55

dot plot is and the excessive

8:58

communication. There's a continuum if

9:01

you will. Chair Greenspan was quite

9:03

opaque. He famously said, you know, if

9:05

you thought you understood me, you must

9:06

be mistaken to chair Bernani who was

9:10

extremely transparent. I think probably

9:13

an incoming chair Walsh wants to be

9:15

somewhere in in between there. One thing

9:18

that incoming chair wars will have that

9:20

has not been had for a very long time is

9:23

a former chair sitting in the room at

9:25

least for some period of time. What will

9:27

that do to that dynamic do you think?

9:29

>> I'm not sure it's actually going to do

9:31

very much. Uh I think chair Powell's

9:34

current chair Powell's points of view

9:36

are well known. He said them many times.

9:38

I expect he'll repeat those uh as a

9:41

governor in the time he has left. Uh I

9:43

think he also is somebody who would be

9:45

differential in the way he would be to a

9:47

new chair. So I I don't think it's going

9:49

to change things very much. Whether he

9:51

leaves is a personal decision and he'll

9:53

have to make it.

9:54

>> The independence of the Fed really

9:56

>> We also spoke with former US Treasury

9:58

Secretary Hank Pollson about the

10:00

challenges facing the next Fed chair.

10:02

Pollson agreed that Worsh has a hard

10:04

road ahead, but that he is up to the

10:07

task. When you have a chairman of the

10:10

Fed, you want someone who understands

10:12

markets, who is a good communicator, has

10:16

a a a good understanding of sound

10:18

economic principles, and I think Kevin

10:21

Walsh meets those tests, right? And he's

10:24

been before he's done it. Now, I think

10:26

his job becomes more difficult because

10:30

there's independence and the perception

10:32

of independence. So I think how this

10:35

transition between J Paul who's just

10:38

been a star performer and got great

10:42

credibility and integrity. I think how

10:44

that transition is handled and how the

10:48

administration deals with it is either

10:50

going to make Kevin's job more difficult

10:53

or you know somewhat easier. But Kevin

10:56

won't have an easy job anyway. And you

10:59

know, I compliment the Trump

11:01

administration on selecting him. Right.

11:05

>> Coming up, AI may be coming for a job

11:08

near you, especially if you're a

11:10

computer programmer.

11:21

This is a story about a double-edged

11:23

sword. At this point, AI is promised to

11:26

do just about everything. But it turns

11:28

out that it's best at creating the very

11:30

thing that it is made of, code. It was

11:33

once considered a high-skll task, but

11:36

coding is now accessible to just about

11:37

anyone with the help of generative AI.

11:40

On the one hand, this unlocks

11:42

possibilities for creating a wide range

11:44

of products and businesses that

11:45

otherwise might never have seen the

11:47

light of day. On the other hand, it's

11:50

made the future less certain for those

11:51

who write code professionally. Our

11:53

colleague Ed Ledllo brings us the story

11:55

of what happens when we lean in and let

11:58

AI do the work.

12:05

In Upper, West Virginia, Jamie Grove

12:08

owns a boutique warehouse helping

12:09

clients ship out anything from dinosaur

12:12

bones to board games. Last year, he

12:14

built software that automates shipping

12:17

out packages with help from AI.

12:20

>> Where's the uh order at that you're

12:21

looking at there? There's absolutely no

12:23

way I could have done any of this

12:24

without AI. For the initial run to take

12:27

some spreadsheets that we had that we

12:29

were working with to get an actual

12:31

workable sample ready to go took me less

12:34

than a day and we were live and we were

12:36

using it right here in the warehouse

12:39

>> in Oakland, California. Cynthia Chen

12:42

wished there was an app that collects

12:43

pictures of different breeds of dogs.

12:46

>> And then it was when I learned about

12:47

vibe coding online is when I thought

12:50

maybe I should try it myself.

12:52

The first time you see like this little

12:54

popup and it says build succeeded and

12:56

then you can see the app pop up and you

12:58

like it's actually real. That was like

13:01

the sort of magical moment where I was

13:03

like oh my gosh this is crazy. I can

13:04

actually build things myself.

13:08

>> The term vibe coding was coined by Andre

13:10

Karpathy, a founding member of Open AI

13:13

to describe a process of computer

13:15

programming akin to having a

13:17

conversation with a robot. Here's what

13:20

it looks like in practice. Say I want to

13:22

create a website that visualizes and

13:24

animates a data set. I would use a

13:26

generative AI tool like Claude or Codeex

13:28

or in this case Gemini and tell it

13:30

exactly what I want using plain English.

13:33

AI then writes the code for me. And as

13:35

coding has gotten easier, it's led to

13:37

the creation of more code than ever

13:39

before. Activity on GitHub, the platform

13:42

used for storing and sharing code, has

13:44

seen a massive increase in activity,

13:46

surging in early 2025 when AI coding

13:48

pilots became popular.

13:53

And although Vive coding has helped

13:55

small businesses and hobbyists create

13:57

their own software, it's the

13:59

professionals who are leading the way.

14:01

So what goes on in this building is we

14:03

have a mix of folks working on Google

14:05

Cloud. At Google, when we talk about

14:07

autonomy and agentic engineering, we

14:10

have systems that allow you to kind of

14:12

have almost a virtual software engineer.

14:15

Hold on. If all these brilliant

14:17

engineers are using AI in this way, what

14:22

is it that they're doing all day long in

14:24

beautiful buildings like this one?

14:26

>> Excellent question.

14:29

>> Adi Osmani is the director of Google

14:32

Cloud AI. He oversees teams of engineers

14:35

currently building the next generation

14:36

of AI tools for businesses.

14:39

>> So if you are vibe coding, you're pretty

14:41

much just giving into the vibes. You

14:42

don't necessarily have a clear full idea

14:44

of your vision. You're just working with

14:47

the LLM. You're trying to get somewhere

14:49

with it. If you're engineering, that's

14:52

where you have to apply rigor to it. You

14:54

have to have this clear set of

14:55

requirements. You are testing. And

14:58

whether you are a startup or whether

15:00

you're in a big enterprise right now,

15:02

the role of the software engineer is

15:04

going to be evolving to one where you

15:06

are increasingly a little bit more of a

15:07

manager, you're going to have

15:09

effectively like a virtual team of

15:11

agents that you're responsible for and

15:14

you have to own the outcomes. Doesn't

15:16

matter how many

15:17

>> responsible for the output.

15:18

>> You're responsible for the output.

15:19

Exactly. And so you need to decide like

15:23

how am I evaluating quality? How much

15:26

time am I going to spend evaluating

15:28

quality? Because there are some people

15:29

who very much enjoy YOLO. Like, okay,

15:31

well, the agents ran overnight, looks

15:33

good, kind of runs, I'm just going to

15:35

deploy it. But if you're building any

15:37

kind of serious software, you still need

15:38

to have some idea of like what is what

15:40

is the quality bar? What are my quality

15:42

gates? How am I making sure this is

15:45

actually going to meet um the needs of

15:47

my users in a consistent way?

15:51

For the engineers at Google's

15:52

headquarters here in Sunnyvale,

15:53

California, Osmani says AI isn't just

15:56

making their lives easier, it's making

15:58

them better at coding.

15:59

>> The extension of that question, which

16:01

will be posed largely by investors, is

16:04

how do we measure the productivity gains

16:07

of that engineer or that team?

16:10

>> I remember in the earlier days of AI,

16:12

you know, org leaders would look at

16:14

things like, oh, hey, well, how many

16:16

lines of code are being generated,

16:18

right? is not not in any way a good

16:20

proxy for productivity but these days I

16:23

think that people use a mix of different

16:24

kinds of metrics you try to use

16:26

qualitative and quantitative generally

16:28

speaking there's a big productivity

16:30

boost in the earlier days of AI would

16:32

have said you know that boost is 10 to

16:33

15% these days it's anywhere from 30 to

16:36

50% and I see that number only

16:37

continuing to go up

16:41

at MIT Frank Nagel and a team of

16:44

researchers surveyed over 187,000 and

16:48

software developers who are using GitHub

16:50

Copilot, a generative AI tool for

16:52

coding. And they found that workers are

16:55

more productive because what they spend

16:57

time on has changed.

16:58

>> I think one of the big things that we

17:00

often think about with AI is that it's

17:02

just going to enhance productivity,

17:03

right? It's going to make us faster

17:05

doing whatever it is we do. Um, but

17:08

that's just really just scratching the

17:09

surface. You have 100% of your time that

17:12

you allocate to work. How did that break

17:14

down along these dimensions of what we

17:15

called core work, actual coding versus

17:18

more project management type of work?

17:20

And what we found is that when uh coders

17:23

started using these types of tools, they

17:25

massively shift the amount of their time

17:27

that they allocate to coding and they

17:30

take away a whole lot of their allocated

17:32

time towards from project management.

17:34

And so part of the reason we think that

17:35

this is happening is that if in the old

17:38

days you were writing piece of code A

17:40

and that piece of code was dependent on

17:42

some other piece of code B, you had to

17:44

wait for that other person. You had to

17:46

interact with them and make sure that

17:48

everything worked together. Whereas now

17:50

you can just write it all yourself.

17:54

This productivity boost is particularly

17:56

true for those who are writing and

17:58

deploying brand new code and especially

18:00

those with no knowledge of code

18:02

whatsoever, including creatives like

18:03

Chen. This is Press Petals, the new app

18:06

that I'm working on. And here is a press

18:09

flower. So, I'm going to go to um the

18:12

claude code that I have running. And

18:14

then I'm simply going to describe what I

18:16

want it to do. I actually tried a whole

18:18

bunch of tools in the beginning and this

18:19

was about a year ago which I think is

18:21

like feels kind of like the stone ages

18:23

of vibe coding. I was able to make the

18:26

foundations of the app in maybe a month

18:30

and as like a totally non-technical

18:32

person I was actually able to like build

18:34

a full stack app. So there's like front

18:36

end and backend capabilities and I was

18:38

able to get it out on the app store just

18:40

entirely myself.

18:45

For business owners like Grove, his

18:47

vibecoded solution is helping his

18:49

warehouse save on costs. We have three

18:51

main coding solutions here that we've

18:53

used AI for. One is to create batching,

18:57

which is the important part in terms of

18:59

taking orders that are different and

19:02

getting them all together into groups

19:04

that make that easy to pick. And then

19:06

the other solution that we have is

19:08

inventory tracking. So that's a a

19:10

standard warehouse feature, but our

19:12

clients are also very different. And so

19:14

trying to force a client into a single

19:17

inventory tracking system is really

19:19

difficult. So we actually we used AI to

19:21

build a inventory tracking solution that

19:24

allows them to be themselves basically.

19:27

So I have a pretty varied background. I

19:29

started out as a programmer a long long

19:31

time ago but even someone who is a a

19:35

very uh fast coder could not have built

19:38

all these solutions. Impossible. If I

19:41

were to do it with a team of

19:42

programmers, I could have five

19:43

programmers working on this full-time

19:45

and still not deliver as many results.

19:48

If I were to install a software system

19:50

that does everything that we're doing

19:52

now, uh let's just say without all the

19:54

customizations and all the the

19:56

flexibility, we might be talking about

19:58

an annual license of anywhere between $6

20:00

and $10,000 a year, scaling all the way

20:02

up to maybe $30 to $50,000 a year,

20:05

depending on how much volume we push

20:06

through our warehouse. This doesn't have

20:08

the flexibility uh that we would want

20:10

and it's expensive. Like for a small

20:13

boutique warehouse, that's a big

20:15

expense.

20:18

Now, for about $20 a month, business

20:20

owners like Grove are building their own

20:22

software solutions. And whilst that's

20:24

opened up new possibilities, there is a

20:27

downside. Since 2022, employment for

20:30

software engineers right out of college

20:32

has fallen by nearly 20%. Nagel thinks

20:36

companies are making a big mistake.

20:38

>> I do think that one of the biggest risks

20:40

of the whole thing is that people are

20:42

going to get too focused on the short

20:43

term and not think about the long term

20:45

enough. First of all, if you don't hire

20:47

any new people, who's going to run the

20:49

company in 10 to 15 years? Uh but second

20:51

of all, our research and and others has

20:53

shown that these junior people are

20:55

actually the ones who are able to change

20:57

their job and and get the most out of

20:59

using these tools. And so if we're not

21:01

hiring them at the same rate we were

21:02

before, uh, then we're not going to be

21:04

able to take advantage of that.

21:06

>> And Chen agrees.

21:08

>> I feel very strongly that this is like

21:11

not replacing engineers. I think the

21:15

more you use AI to build, the more you

21:16

understand the space and kind of even

21:18

know what you can and can't do. It's

21:21

like technically I can make it, but an

21:23

engineer probably could have made this

21:25

in a much shorter timeline and probably

21:28

with like much more robust code.

21:30

>> From the business standpoint, I do think

21:32

there's this opportunity where companies

21:34

that have been thinking about things

21:35

like reverse mentoring where the younger

21:38

folks can help the more experienced

21:39

folks learn how to better use these

21:42

types of tools while the experienced

21:44

folks are able to better help the the

21:46

younger folks understand how the

21:48

industry works.

21:51

If AI can write code, then what is the

21:54

role of the software engineer? Osmani

21:56

says today it's all about quality. If I

21:59

want to build a robust engineering

22:02

artifact, something that's going to last

22:04

time, something I can ship to hundreds

22:06

of millions of users or billions of

22:08

users, there are a lot of things that it

22:10

needs to factor in. And so what people

22:12

in buildings like this are doing all day

22:14

long are trying to make sure that the

22:16

code is actually meeting that quality

22:17

bar so that when we do ship something to

22:20

you that happens to be using AI behind

22:22

the scenes, you're actually getting what

22:24

you want. That's the important thing for

22:25

the users at the end of the day. They

22:26

don't care if a human has been authoring

22:27

it or AI has been authoring it. Does it

22:29

help them get the job done in a reliable

22:31

way?

22:31

>> Is vibe coding a term that's therefore

22:34

used? Is it banned within?

22:36

>> Absolutely not. I think that vibe coding

22:39

has a lot of value. VIP coding is

22:41

enabling people to go from idea to

22:43

execution faster than ever. And it has

22:45

completely changed how many teams

22:48

approach prototyping. You know, so many

22:50

times in the past in Silicon Valley and

22:52

lots of places, if you had an idea,

22:54

you'd go through weeks or months of just

22:56

discussing or debating like, hey, can we

22:58

afford to build this? Now, you can just

23:00

build it. And I think that it has a very

23:02

concrete place um in our our our

23:05

language. Now, it's just important that

23:07

you understand that vibe coding a thing

23:10

does not necessarily mean that you have

23:11

a production ready artifact that's going

23:13

to be battleh hardened.

23:17

>> In Silicon Valley, the test of AI's

23:19

progress is true autonomy. to start a

23:22

project in the evening and wake up in

23:24

the morning to code written autonomously

23:26

by an AI agent. A dream for senior

23:29

software developers and perhaps a

23:31

nightmare for entry-level computer

23:33

engineers who would have once done that

23:35

work themselves. But for us non-coding

23:38

mere mortals, the moment could be ripe

23:40

to do what mankind is best at, building

23:44

and creating.

23:50

Up next, journey to the center of the

23:52

Earth, or at least toward it. Geothermal

23:55

may be an important part of what gets us

23:57

the energy we need to power all that AI.

24:15

This is a story about resourcefulness.

24:18

In the quest to feed AI data centers,

24:20

the US is looking to get more power from

24:22

just about everywhere it can. From

24:24

fossil fuels to wind and solar to

24:26

nuclear. But it turns out that an

24:28

important part of the puzzle lies

24:30

beneath our feet. Our colleague Michael

24:32

McKe takes us into the promising and

24:34

developing world of geothermal energy.

24:40

This is not a gold mine, but in an age

24:42

of power- hungry data centers desperate

24:44

for energy, it might be even better. So,

24:48

what are we looking at here?

24:50

The OMAT geothermal power plant in

24:53

steamboat where we have to generate

24:55

electricity.

24:59

How much electricity do you produce

25:00

here? In the entire Steamboat area, uh,

25:03

we've produced between 80 to 90

25:05

megawatt.

25:07

>> That's enough to power more than 50,000

25:09

homes, a small city. Orat Technologies

25:12

is one of America's largest geothermal

25:14

companies with plants throughout the

25:16

Southwest, a hot bed of the country's

25:19

geothermal activity.

25:20

>> These are the heat exchanger.

25:22

>> Duron Blashar is the company's chief

25:24

executive.

25:25

>> We operate 24/7 every day, regardless of

25:28

the sun, regardless of the wind. H and

25:31

that's the main benefit that you get

25:33

from geothermal a steady 24/7

25:36

electricity.

25:38

>> Led by the hypers scaling of AI

25:40

installations, electricity demand in the

25:42

US is projected to grow by as much as

25:44

20% over the next decade. Analysts say

25:48

that means the country needs an all of

25:50

the above approach to power generation.

25:53

And on the list of potential sources,

25:55

geothermal stands out for being a clean

25:58

source of constant or base load power.

26:01

>> We need base load power. And that's the

26:04

the sweet spot that that geothermal

26:07

brings us. You don't have to worry about

26:08

it if the sun's not shining, if the

26:10

wind's not blowing. It allows that base

26:13

load that every grid needs to uh to

26:16

operate. So far, geothermal is just a

26:19

small piece of the US power generation

26:21

mix, producing less than 1% of total

26:24

utility scale electricity. But demand

26:27

and technology are changing the outlook.

26:30

>> Geothermal energy is the heat of the

26:33

earth and it's been used for millennia.

26:36

Hotring systems were used by the cavemen

26:40

to to cook their food. Until now, the

26:43

industry has largely been confined to

26:45

the rare places where hot water and

26:47

permeable rock come together in

26:49

underground reservoirs like this site

26:52

outside of Reno, Nevada. Now, enhanced

26:55

geothermal systems or EGS have the

26:58

potential to give nature an assist. Much

27:00

of the work has been pioneered at Utah

27:03

Forge, a Department of Energy funded

27:05

field lab. Joseph Moore is its principal

27:08

investigator. Emmeritis.

27:10

>> The conventional geothermal systems,

27:12

these are also called hydrothermal

27:14

systems or hotring systems, have the

27:17

natural fractures that allow water to

27:20

move through the rock, extract heat, and

27:23

then come to the surface. Enhanced

27:26

geothermal systems are not associated

27:29

with hot springs. These are areas where

27:33

fractures don't extend to the surface

27:36

and are not abundant enough to allow

27:40

water to circulate in the subsurface. We

27:44

have to make the fractures in order for

27:46

the water to move through them. And this

27:49

can be done almost anywhere in the world

27:51

if we drill deep enough to reach the

27:54

temperatures that that we need.

27:57

Typically, these temperatures are in the

27:59

order of 400 degrees F and and higher.

28:04

>> To do that, EGS companies are turning to

28:06

the oil and gas industry, which

28:09

increased production by inventing the

28:11

technique of fracking.

28:13

>> The fracking actually creates that

28:15

permeability that you need to flow the

28:18

water through the rock in order to

28:19

harvest the heat.

28:21

Cindy Taff is the CEO of Sage Geos

28:24

Systems, a next-gen geothermal and

28:26

energy storage company. After spending

28:29

35 years at Shell, she is now using her

28:32

knowledge of oil drilling to partner

28:34

with Ormat.

28:35

>> We're going to be drilling adjacent to

28:38

their conventional geothermal field and

28:40

then putting our production, which will

28:42

be hot water, into an existing power

28:45

plant. And the reason why we're excited

28:47

about that is it it expedites our

28:49

ability to have a commercial project by

28:52

at least a year and a half because we

28:53

don't have to acquire land. We don't

28:56

have to build a power plant. We don't

28:57

have to have a grid interconnection.

28:59

We're going to be drilling the wells

29:01

later this year, if not early next year,

29:04

depending on the permitting timeline.

29:06

And we're going to be flipping the

29:08

switch in 2027.

29:10

And so this partnership is really going

29:12

to open up the ability to scale

29:14

commercially around the world because of

29:17

Ormat's footprint.

29:19

>> If Sage can provide the hot water, Ormat

29:22

will use it to generate power. We signed

29:24

with them a collaboration agreement

29:26

basically allowing us if that once they

29:29

are successful to use their technology

29:31

and build a power plant. Joining forces

29:34

with Sage having them bring the

29:36

experience and knowledge from the oil

29:38

and gas industry combining with the

29:40

geothermal that we bring. We do believe

29:42

that we get a a winning partner. As the

29:45

technology begins to prove itself, other

29:48

private capital is moving in behind it

29:50

with next generation geothermal

29:52

attracting more than one half billion

29:54

dollars since 2021.

29:56

>> A company called Fervo now has uh has

29:59

their drill site located very closely to

30:01

the Forge site. They're drafting off of

30:04

that that new technology. It's gotten

30:06

better and faster and cheaper already.

30:08

And uh and and so that's that's how

30:10

these things are working together. Now,

30:12

Fervo has a 400 megawatt plant that

30:15

they're building right now, which is is

30:17

incredible. The investments are there,

30:19

and so it's it's going to take less uh

30:22

subsidies uh because these companies

30:25

don't need the subsidies. They just need

30:26

the power and they need it really

30:27

quickly.

30:28

>> In Utah, Governor Spencer Cox wants to

30:31

make his state an energy and business

30:33

hub with geothermal an important part of

30:35

that plan.

30:36

>> We understand the demand for energy

30:39

right now. It's why we in Utah I

30:40

launched something called Operation

30:42

Gigawatt about 2 years ago. We know we

30:44

have to double Utah's energy production

30:46

over the the next few years in order to

30:48

compete with the the rest of the world

30:50

and to make sure that our citizens have

30:52

the uh the technological advancements

30:54

that are happening out there and that

30:56

they have low cost. It helps Utah and

30:59

Nevada that much of the land where EGS

31:01

geothermal can be developed belongs to

31:03

the US government and the Bureau of Land

31:06

Management is making more of that land

31:08

available. demand is running ahead of

31:10

supply. Average leasing prices paid

31:13

surged almost 300% last year.

31:16

>> That's one of the things that we're

31:17

finding out. Look, there are a lot of

31:18

states who give giant subsidies away to

31:21

attract businesses. We're we're not like

31:22

that in the state of Utah. We do have

31:24

some subsidies like like every state,

31:26

but we understand that what people

31:28

really need is is speed and they need

31:31

asurances that we're not going to pull

31:32

the rug out from under them, that we're

31:34

not changing our regulatory scheme every

31:37

few months. That it's a place where it's

31:39

easy to do business and deploy capital.

31:43

>> Geothermal is also politically

31:44

palatable. At the same time that

31:46

Washington is opening up more land for

31:48

geothermal development and continuing

31:51

tax credits supporting it, it's pulling

31:53

back support for wind and solar.

31:56

>> It's one of those rare forms of energy

31:58

where there's no opposition at all. The

32:01

far right is opposed to uh is opposed to

32:04

wind and and and some solar. Um the left

32:06

is opposed to uh to to coal and and some

32:09

nuclear. Um fi finally we have this this

32:12

energy source that everybody believes in

32:14

that everybody loves. We just didn't

32:16

have a way to produce it at scale in

32:18

enough places and uh and because of

32:20

human ingenuity because of uh of this

32:23

abundance mindset that we're starting to

32:25

get as America again we're getting base

32:27

load power at scale that prices are

32:30

coming down because the technology is

32:32

getting easier and cheaper and faster.

32:35

Still, as with any source of power,

32:37

there are risks that come with

32:38

geothermal energy. Most important,

32:41

concerns over access to water and its

32:43

use. TD Cowan sustainability and

32:46

disruptive technology analyst Jeff

32:48

Osborne covers ORMAT.

32:50

>> Geothermal historically is, you know,

32:52

out in the middle of the desert,

32:53

typically in vast uh expanses of land

32:56

and uh not the most accessible for

32:58

water. Uh so the a big risk for

33:01

investors to monitor is is where's the

33:03

water going to come from and if we need

33:05

an additional water source uh is that

33:08

available as a a backup plan and what's

33:10

the the cost of that and what's the

33:12

political uh ramifications

33:15

uh as it relates to uh future permitting

33:17

approvals. And so, uh, as we move into

33:20

new geographies that maybe are are less

33:22

familiar with, uh, geothermal, thinking

33:25

like a state like Texas, that the water

33:27

availability in West Texas where some of

33:29

these data centers are coming in, uh, is

33:31

certainly going to be an issue. And so,

33:33

uh, that's where learning comes in from

33:36

some of these initial projects that are

33:38

being done by the likes of Fervo and

33:40

what Ormat will have with the Sage and

33:41

Swam partnerships. they'll be able to

33:43

take some of that data and then

33:44

hopefully uh convince a investors but b

33:47

uh both local and uh state level uh

33:50

politicians that this is something that

33:52

should be approved uh to move forward

33:54

with. Typically things around uh water

33:57

and uh grid interconnection are two of

33:59

the the key punch list items that

34:01

investors are going to want to

34:02

understand.

34:03

>> When does it start producing a profit

34:05

for investors? Once it starts we can

34:09

start scaling which actually is very

34:12

soon after this first commercial uh

34:14

pilot um I would say we can scale in the

34:17

next two or three years to 400 500

34:20

megawws that's when the returns will

34:22

really come for investors because as you

34:25

scale of course you can drive cost down

34:28

because of the efficiencies of uh during

34:30

scaling we have a term sheet with meta

34:32

for 150 megawws for one of their data

34:36

centers there already in need for more

34:38

power at that data center because uh

34:40

some of the solar um production has

34:42

dropped out. And so we've got an

34:44

agreement with them. We're also working

34:46

with the Department of War and they're

34:48

very interested in behind the fence

34:52

power that's easily defendable and

34:55

because a lot of our equipment is below

34:57

ground and it doesn't have a big surface

34:59

footprint. It will help to solve the

35:03

supply demand mismatch that you

35:05

currently see in the power markets being

35:08

base load. There's a huge demand.

35:11

Geothermal is just a huge untapped

35:14

resource.

35:16

Next generation systems could be a

35:18

gamecher in the renewable energy

35:20

industry, especially if everybody is on

35:22

board.

35:23

>> Good news is that Democrats support this

35:26

now. So, this used to be just a partisan

35:29

issue. It was just Republicans who cared

35:30

about this. Now, it's a bipartisan

35:32

issue. Uh members of Congress from both

35:34

parties are pushing towards this. This

35:36

is a technology that is bringing us all

35:39

back to the table, bringing us all

35:40

together, bringing investment at every

35:43

level. And I think the future is bright

35:45

for our country.

35:48

>> Coming up, playing the odds. Whether

35:50

it's in a casino or in what's next to

35:53

the casino, Las Vegas is reinventing

35:55

itself yet again.

35:57

>> Vegas as a whole is extremely elastic.

36:00

Vegas isn't going anywhere.

36:12

This is a story about taking a chance,

36:15

having a shot at wealth and success.

36:18

Something at the heart of what many

36:19

consider the American dream and

36:21

something built into the very foundation

36:23

of Las Vegas, Sin City, which for over a

36:26

century has drawn visitors from all

36:29

walks of life.

36:38

What brings me to Vegas? Well,

36:40

>> my husband and I were married here.

36:42

We're here on a girl's birthday trip.

36:43

>> We came here to party. We We partied.

36:45

You see, we've got pirates coming from

36:47

all around the world.

36:51

>> Beneath the bright lights and the

36:53

constant buzz of the strip, the city

36:55

itself is taking a chance at reinvention

36:58

as signs of slowdown in its core

37:00

business start to surface. To understand

37:02

the Las Vegas of today, you have to go

37:05

back to where it all began.

37:07

And few have followed that story like

37:09

screenwriter and journalist Nick Pelgi.

37:12

After the Second World War, with the air

37:15

conditioning allowing these places to

37:18

remain open 12 months a year and

37:22

aviation advancing, it changed the whole

37:25

economy of going to Las Vegas and it

37:28

allowed people to begin to invest money.

37:30

It was the only place in America where

37:32

you could gamble legally. Every illegal

37:35

bookmaker all around the country, all of

37:38

whom were fully operational and had all

37:41

the political and police connections

37:44

they needed to operate in the open

37:46

really. Uh they all went to Las Vegas

37:49

where they were legit. It was an amazing

37:52

moment.

37:55

It was the start of the infamous mob

37:57

era, a world pelgi would later chronicle

38:00

in the Academy Award nominated film

38:02

Casino. Who could resist? Anywhere else

38:04

in the country I was a bookie, a

38:06

gambler, always looking over my

38:08

shoulder, hassled by cops day and night.

38:10

But here I'm Mr. Rothstein. I'm not only

38:13

legitimate, but running a casino. And

38:15

that's like selling people dreams for

38:17

cash.

38:17

>> All of us have heard about the time of

38:19

the mob in Las Vegas. How much of that

38:21

is myth and how much of that is reality?

38:23

Well, it's it's mostly reality. When it

38:26

came time to open casinos, maybe or

38:30

expand casinos in Las Vegas because of

38:33

air conditioning and the new aviation,

38:35

where were you going to get that cash?

38:38

Who was going to invest? Banks were not

38:40

investing in casinos because casinos

38:42

were immoral.

38:44

So, you couldn't go to a real bank. You

38:46

couldn't go to Jaime Diamond and say, "I

38:48

need $200 million."

38:50

So the only cash you really had came in

38:54

cash from the men who had originally

38:56

made their wealth in prohibition. And

38:59

they were doing legitimately what they

39:02

had been doing basically illegitimately.

39:04

It's really a sort of slice of the free

39:08

enterprise system at work. And it just

39:11

kept getting bigger and bigger until it

39:13

got so damn big the government said

39:15

they're making too much money. And the

39:17

government legalized illegal gambling

39:20

and has taken it over and of course not

39:23

dealing with it as well as the mob guys

39:26

did.

39:28

From mob money to corporate capital, Las

39:31

Vegas kept evolving. But now in the age

39:33

of online gambling, when a casino fits

39:36

in your pocket, what's next? Fed

39:38

President Mary Daly oversees the Federal

39:40

Reserve's Western region. The economy of

39:43

Las Vegas is the kind of economy that if

39:45

the US sneezes, it usually gets a cold

39:48

or maybe the flu. And so we're seeing

39:51

some of the things that are playing out

39:52

in the US economy play out here in

39:54

Vegas. I think that the Vegas residents

39:56

are a little worried about that, but you

39:57

know, Vegas reinvents itself regularly

39:59

so they're not depressed.

40:03

>> At the center of Las Vegas's latest

40:05

reinvention is entertainment. And one of

40:07

the biggest players is the Tao Group, a

40:09

hospitality and entertainment company

40:11

known for operating restaurants and

40:13

nightclubs. Jason Strauss is the group's

40:16

co-founder.

40:17

>> You didn't start in Las Vegas.

40:18

>> No, we started in New York City. Our

40:20

first two venues was Tao Restaurant in

40:22

Midtown and Marquee Nightclub, which I

40:25

I'm proud to say 21 years later is the

40:27

longest running nightclub in New York

40:29

City history. And we have one here in

40:31

Las Vegas.

40:31

>> Why did you pick Las Vegas? Because we

40:33

mostly think about Las Vegas for

40:34

gambling. Well, back then we saw a small

40:38

incle of nightife and the need for

40:39

stylized dining. It was just starting.

40:41

There was a lot of celebrity chefs back

40:43

then and nightife was maybe one or two

40:45

nightclubs on the strip, but we saw a

40:46

real need for it and frankly we were

40:48

right. We hit it right on the nose. The

40:50

timing was amazing. This is going back

40:52

20 21 years. We opened with the first

40:55

restaurant and nightclub combination

40:57

together. We were the first really to

40:58

like merge and marry those two concepts.

41:01

And within the first year, we're the

41:03

highest grossing restaurant in the

41:04

United States. So, we had a lot of

41:05

success with that.

41:06

>> Tell us about the evolution. I mean, how

41:08

fast did it happen? How big has it got?

41:11

>> Oh, man. In 20 years, it's been an

41:13

evolution. When I was out here, maybe

41:14

two or three nightclubs. We now have 16

41:16

to 17 venues on the strip, depending on

41:19

how you classify a lounge or a day club

41:21

or a nightclub. Now, there's this is the

41:23

nightclub capital of the world and the

41:25

stylized dining capital of the world.

41:27

>> Is it continuing to grow? I mean, what's

41:28

been the pattern of growth just

41:30

measuring by how many people you have

41:32

coming?

41:32

>> Well, yeah, it has continued to grow.

41:34

We're we're dealing with a particular

41:36

segment. We we say premium segment

41:37

that's really looking for experiential.

41:39

I mean this nightclub that we're in

41:41

right now, Omnia is the highest grossing

41:42

nightclub in the country and we have hit

41:45

our best number every year for the last

41:47

3 years here in here at Omnia. So this

41:50

is a really good indication of where

41:51

things are and where it's going.

41:53

>> When you say best number, is that both

41:55

in total revenue and in revenue per

41:58

customer?

41:59

>> Gross net sales.

42:00

>> Gross net sales.

42:00

>> Gross net sales. And you measure also

42:02

how much you revenue you get per

42:04

customer.

42:05

>> Uh yeah, there's a price point, there's

42:06

a price per head, but that that differs

42:08

on day of the week. You know, there's a

42:10

different customer in Vegas every

42:12

weekend based on convention scheduling.

42:15

So it depends on the time of year, who

42:17

the talent is, sort of other factors

42:19

that come into town, if there's a UFC

42:21

fight in town. So all those things

42:23

factor into different sort of per head

42:26

uh numbers. A lot of the people who

42:28

follow Bloomberg are concerned about

42:30

business cycles. They go up and they go

42:31

down.

42:32

>> Are you vulnerable to business cycles or

42:34

are you outside of business cycles?

42:36

>> You know, I think we we live in a

42:38

particular demo of premium where people

42:41

have disposable income for experiential.

42:44

So, I think we're insulated a bit, but

42:46

listen, Vegas as a whole is extremely

42:48

elastic. Vegas isn't going anywhere.

42:52

>> Look at this. And now Tao is doubling

42:55

down. I get it. Yeah, that' be pretty

42:57

nice.

42:57

>> Making its biggest bet yet with its

42:59

newest venture, Omnia Day Club, set to

43:02

open later this month.

43:03

>> 46,000 square ft of cabanas, dayb beds,

43:06

pools, and up on that platform up there

43:10

is our Omnia Sky Deck.

43:13

>> Dayclubs have become one of the biggest

43:15

entertainment formats in Las Vegas.

43:17

daytime party venues that combine

43:19

elements of the city's famous nightlife

43:21

scene with its pool culture featuring

43:24

DJs, cabanas, and high energy crowds.

43:28

But even as Las Vegas leans further into

43:30

entertainment, the signs of softening

43:32

demand are hard to ignore. Visitor

43:35

numbers are down 7% in 2025, the

43:38

sharpest annual decline outside the

43:41

pandemic.

43:42

>> There are reports of some softness and

43:43

occupancy and things like that. How true

43:46

are they? because you monitor these

43:47

things. What do you look at?

43:48

>> It's definitely weaker than it was last

43:50

year and that they have many factors

43:52

that are affecting it. There's

43:54

international tourism has just dropped

43:56

to the United States. Then you have, you

43:58

know, the households who are making 50th

44:01

percentile or less in household income.

44:03

They're just making trade-offs. You

44:05

know, they have to. Gas prices are

44:06

higher. Other goods and services are

44:08

higher. And they get here and they're

44:09

like, "Okay, I'm going to pay for this

44:11

experience, this show, but maybe I'm not

44:13

going to spend as much at restaurants.

44:14

Maybe I'll bring food into my hotel

44:16

room. And so other aspects of this are

44:19

hurting a little bit. But again, Las

44:21

Vegas is used to this.

44:25

>> In a city built on volume and

44:27

discretionary spending, even small

44:29

pullbacks can have an outsized impact.

44:32

Since the pandemic, Las Vegas

44:33

unemployment has remained roughly a

44:35

percentage point above the national

44:37

average. As you look from your perch at

44:40

the the Federal Reserve, at the economy

44:42

of Las Vegas, what are the major

44:44

component parts? What do you really pay

44:46

attention to? There's gaming obviously

44:47

and you say not so much gaming, some

44:49

other things.

44:50

>> Yeah. So, I look at travel and leisure.

44:52

So, what are they doing in travel and

44:53

entertainment? How are these different

44:54

pockets doing? Then I also look at

44:57

technology and not so much the coding

44:59

and things but the infrastructure. You

45:01

know, are they attracting investments in

45:03

things like data centers or they have a

45:05

technical, you know, interest here? They

45:07

want to build technology out because

45:09

it's just a great place to put technical

45:11

things. So, they're working on that.

45:13

Then there's the all the support parts

45:14

of the economy that are here to help the

45:18

gaming and entertainment industry

45:19

thrive. So, even if you're not directly

45:21

working in travel and leisure on the

45:23

strip, you're actually supporting the

45:25

broader economy by doing distribution

45:27

and supplies. And so, their economy is

45:29

really built on that. But if you ask

45:31

what's the one thing they would get

45:32

worried about, it's are the flights

45:34

coming in? Are the guests coming?

45:36

because that drives a lot of their

45:37

economy. The technology is something

45:39

they looking to build too, but it's not

45:41

something that's driving their economy.

45:43

>> We see a lot of development always in

45:45

Las Vegas. You said it's always

45:46

reinventing itself and you always

45:48

reinventing big buildings getting torn

45:49

down and big buildings bu being built

45:51

up. One of the things we've heard is

45:53

that Las Vegas has been sort of advanced

45:56

in minimizing the regulatory

45:58

constraints, the permitting of things.

45:59

And we we've talked to people who say

46:01

they're building things here much faster

46:03

than they would in some other parts of

46:04

your district like Los Angeles or San

46:06

Francisco. Absolutely.

46:06

>> How true is that?

46:07

>> It is true. So, one of the things that

46:09

we know is that, you know, there's

46:10

federal laws about zoning and other

46:12

things, but most of the zoning and and

46:15

where you can build and how you can

46:16

build and what kind of light fixtures

46:17

you have to have, that all comes from

46:19

localities or states and Vegas because

46:22

they need to reinvent themselves and

46:24

bring this these new buildings along.

46:26

That's part of their attraction. They

46:27

have to be faster. They have to be

46:29

better. They have to be less expensive.

46:33

>> That combination of speed, quality, and

46:36

affordability sets Las Vegas apart. And

46:39

Jason Strauss says it's why projects at

46:41

the size and scale of TA's new day club

46:43

can happen here.

46:44

>> I don't think I need to tell you

46:46

anything more. You can just look at

46:48

where we are and how we are just dead

46:50

center of the middle of the strip. All

46:52

the famous lights and sound that make

46:54

Las Vegas strip famous, we're right in

46:56

the middle. And here on the Omnia Sky

46:58

Deck, you're completely immersed in it.

47:00

You can have food and drink. You can

47:01

enjoy it any day of the week. Open 7

47:03

days a week. And this, we think, is

47:05

going to be a really special experience.

47:07

>> It's experiences like these that have

47:08

long drawn people to Las Vegas, a city

47:11

built on reinvention, risk, and the

47:14

willingness to take a chance on what

47:16

comes next.

47:17

>> I think it's the most American thing

47:19

we've got,

47:22

isn't it? I mean, it's kind of frontier.

47:24

It has the cowboy world to it. It's got

47:27

everybody's got a shot. It's sort of

47:30

like it's America in in miniature

47:36

because so many different people go

47:38

there, right? From all over the country.

47:40

So, it's like an America for America.

47:47

That does it for us here at Wall Street

47:48

Week. I'm David Weston. See you next

47:51

week for more stories of capitalism.

Interactive Summary

The "Wall Street Week" episode covers three main topics: the Federal Reserve's monetary policy, the impact of generative AI on coding, and the growing importance of geothermal energy and the reinvention of Las Vegas. The Federal Open Market Committee meeting concluded without rate changes, with internal conflicts over easing or tightening biases, complicated by Middle East uncertainty and pre-existing inflation issues. The incoming Fed chair, Kevin Worsh, faces challenges in building consensus and addressing the Fed's balance sheet and financial regulation, with AI's potential disinflationary effects seen as a long-term hypothesis rather than an immediate reason for rate cuts. The second segment explores "vibe coding," enabled by generative AI, which makes programming accessible to non-technical individuals and significantly boosts developer productivity (30-50%). This shift redefines the software engineer's role to focus more on management, quality assurance, and owning outcomes, though it raises concerns about the future of entry-level engineering jobs. Finally, the episode examines the surge in electricity demand driven by AI data centers, highlighting geothermal energy as a crucial, clean, and constant power source. Enhanced geothermal systems (EGS), leveraging fracking technology, are expanding geothermal development beyond naturally occurring sites, attracting significant investment and bipartisan political support, despite challenges like water access. Las Vegas is also undergoing a reinvention, shifting its economy from traditional gambling to entertainment, particularly nightclubs and day clubs, as it adapts to online gambling and seeks new growth avenues amidst recent declines in visitor numbers and occupancy.

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