Why Americans Hate Data Centers

2026-08-11 10:00:00 • 1:03:00

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One of the things I try to do with my coverage of artificial intelligence is write and record

1:24

sentences that everybody can agree with. This is surprisingly difficult to do. Sometimes it seems

1:31

almost impossible to do because if there's one thing I found about AI, it's that it's hard to get

1:36

a large group of people to agree on the simplest effects. Take something like the following claim.

1:42

AI is terrible at writing. You might agree. You probably agree. Much of the time I agree.

1:50

For many people I follow nothing is more obvious than the flat, lifeless, robot at a math conference

1:57

prose of AI. But according to a previous guest, Georgetown University neuroscientist Adam Green,

2:04

many experts in blind tests prefer AI writing to human writing. Even MFA judges in some blind studies

2:12

with degrees in creative writing prefer the prose written by computers to that written by people.

2:20

But despite the controversy that surrounds basically everything you can say about AI these days,

2:25

I want to list three humble facts. Fact number one, artificial intelligence has never been more

2:32

important to the economy. Text share of total US investment recently rose to an all-time high.

2:39

On August 3rd, the Wall Street Journal reported that quote,

2:42

the AI boom is transforming the American economy beyond recognition.

2:48

The economist Michael Pierce told the journal that AI is responsible now for one third of the

2:53

country's GDP growth. If AI blew up, the entire economy would feel it. Fact number two,

3:00

while AI has never been more important for the economy opposing artificial intelligence has

3:06

never been more popular. Negative attitudes toward AI are higher today than any previous period of

3:12

polling according to a variety of surveys. And fact number three is that those two facts are related.

3:20

If AI on popularity keeps rising, it will have a major effect on not just AI, but the entire economy.

3:28

Hundreds of groups around the country are coordinating now to block the construction of

3:32

data centers. New York and Texas have announced a data center moratorium.

3:38

So as I see it, AI is becoming utterly indispensable to GDP growth and market returns at the very

3:46

moment that it becomes the single most efficient applause line in American politics.

3:52

Those trends are on a collision course. The most striking thing about opposition to AI and

3:59

data centers is that the folks building artificial intelligence don't seem to understand that

4:04

opposition at all. Most of these people live in and around the Bay Area in California where practically

4:10

no data centers are being built, by the way. They don't have an on the ground view of the politics

4:16

of AI and data centers in the places where they're trying to break ground.

4:21

But today's guest does. Jasmine Sun is a writer who recently went on a reporting trip to the Midwest

4:28

to find out what's really behind the AI revolt. What are people actually saying? What are their

4:34

motivations? Why is opposition to AI becoming the biggest applause line in politics?

4:43

And what happens if the anti-AI forces succeed in stopping data center construction

4:51

entirely? I'm Derek Thompson. This is Plain English.

5:12

Jasmine Sun. Welcome to the show. Thanks for having me, Derek. Great to be here.

5:25

You recently went out to Michigan in Wisconsin to report on the opposition to data centers.

5:30

I want you to tell me a little bit about what motivated this reporting trip. People are trying to

5:35

build data centers all over the place. Why go to Michigan and Wisconsin specifically?

5:41

Yeah. So I had been seeing throughout the spring this sense of a data center backlash across the US

5:49

bubble up. I had been seeing first stories about the compute build-out, how big it is, how much money

5:53

these companies were investing into building data centers. And then simultaneously maps and news

5:59

articles showing how people were protesting data centers. How they were introducing local

6:03

moratoriums, Bernie and AOC at the national level talking about data center moratoriums. And I was

6:08

just really shocked, I think, and surprised at some of the intensity of the opposition and the

6:15

polling, for example, like in Michigan and Wisconsin, which are purple states, states where both

6:22

Republicans and Democrats are very competitive and also rarely agree on anything. You'll see something

6:26

like a 70-30 opposition to data centers, which is much more bipartisan and much more sort of

6:32

one-sided than solar farms or nuclear or almost any other issue related to development that you

6:38

can find. And so I was really curious about what is driving the data center backlash and what is

6:43

sort of building this and motivating this new political coalition that's forming against AI

6:48

data centers. And I felt that the only way I could actually learn what was going on was to go on

6:54

the ground to a bunch of places where data centers were being proposed where they were being fought,

6:59

where they were being built. So I ended up visiting four sites and talking to people, workers,

7:03

officials, activists in Michigan and Wisconsin. It was also a good time to be there because they both

7:09

have or had these like very interesting primaries going, democratic primaries going on, the Michigan

7:15

Senate race, which I've told you all. So I just won the Wisconsin governor's race where a DSA candidate

7:20

from Jessica Hong is pulling ahead. And AI and data centers have become an important part of both

7:26

races and the story of them. So I was also sort of hoping to understand whether these two states

7:32

and these local stories might end up being a bit of a bell weather for the politics of AI at a

7:39

national level. You live in San Francisco. You know the people who work on artificial intelligence.

7:44

You write about the people who work on artificial intelligence. What do people in the Bay Area think

7:50

that data center opposition is all about? And to what extent did you're on the ground reporting

7:56

validate or invalidate some of those assumptions?

8:01

In San Francisco, I would say that the default assumption or caricature of somebody who hates a

8:06

data center is that they're kind of a TikTok-brained idiot. They've watched too many short-form videos

8:13

and they've eaten up too many myths about these things, sucking up the oceans, about maybe they're

8:23

emitting radioactive waves or something like that. I think the fact that the water meme and the

8:29

sense that oh, AI data centers just use way too much water and the primary risk in harmed communities

8:34

is how much water they use, which I don't think the research proves out is the primary risk that

8:39

data centers pose. The fact that that however has become so mimetic and so prevalent on social media

8:44

has I think given a lot of Silicon Valley folks the impression that data center opponents are

8:49

just highly misinformed and they are just worried about the wrong things.

8:56

And maybe there's some sense that people's opposition to data centers is also about their

9:02

fear of AI, whether that's AI job loss or other ways of not wanting AI in their communities,

9:09

which I think has something to it. But honestly what I found when I was on the ground was that

9:15

the anti data center opposition was so much more about the way that residents lost trust in their

9:24

local officials, their local governments and the way that big corporations were coming in

9:29

and interacting with them. I actually almost never heard people talk about say open AI, the

9:34

customer that the data center was serving. I almost never heard a resident or an activist talk

9:38

about specific AI harms like job loss or deep fakes or whatever. What I much more often heard was

9:45

how could my mayor sign this NDA and keep this project secret from us? How could my city council

9:52

sell out to this gigantic corporation and bring in this huge development with unclear impacts

9:58

without any public input? I think Fury at both the lack of transparency, the sense that backroom

10:03

deals were being made and that these big sums of money were involved in that and sort of corrupting

10:09

people's small d democracy at home was much more the sense that I got when I was on the ground.

10:14

I want to recycle something that you said because I think it's so important when I'm on social

10:17

media on Twitter following the arguments among people who are building AI. I'll often see them

10:24

make this fact check. Well they'll say there's this popular claim about data centers using all of

10:28

this water but in fact data centers use much less water than is commonly assumed. But that fact

10:34

check is often assumed to do the job of proving that anti data center politics is based on a myth.

10:42

And what you're reporting I think does so well is it shows that the actual on the ground opposition to

10:47

data centers is so much more complicated than just a single factoid about water use. And we're

10:53

going to spend most of this interview I think unpacking the many many layers of local data center

10:58

opposition. Before we get to those layers you go to the Midwest you see these data centers up close.

11:05

Tell me what's inside a data center for those who don't know and what's outside a data center for

11:10

those who haven't seen it. Like what does its function and what does it look like?

11:14

Data centers are the most visible physical manifestations of the AI boom. They've existed for a while

11:20

like during the original internet boom you started to see smaller data centers used for

11:24

literally processing or housing data. But data centers today the primary thing that they do is they

11:29

train new AI models or they serve inference i.e. when you send a query or a question to chat

11:35

to be to your another chatbot that query has to go somewhere the model has to process it do a million

11:40

complex mathematical calculations and then send it back. So inside these gigantic buildings which

11:44

often span hundreds of acres live all of these chips and servers that process these queries and train

11:51

these models and they have all these interconnects between them that require incredible amounts of

11:56

compute and electricity to make sure that the speeds are fast that all of these chips are talking to

12:01

each other. There's a big gigantic fans inside. So the AC that requires the water and the cooling

12:07

systems comes from the fact that the chips run super hot and that tons of AC is required to keep

12:12

these things cool. And so when you drive past a data center it often takes even like a minute and a

12:17

half going at 70 miles per hour at freeway speed. These things are gigantic they're kind of like these

12:22

gigantic flat warehouses they're window lists they're often grayer beige they're very ugly

12:28

frankly they're often surrounded in a web of transmission lines that have been built to hook up

12:33

the data center to the grid. And I do think that there is a role that the aesthetic aesthetic

12:39

and pleasantness of a data center plays and the reason that people don't like it.

12:44

You're right that data center opposition is not just about any one thing it is you know I thought

12:48

of reading your piece is like I imagined a delta into which many rivers are flowing and that's

12:53

what data center opposition is like. And so I want to talk about at least four of those thematic

12:59

rivers. The first is anti AI sentiment. I mean before I read your article I would have thought

13:07

that anti data center politics is all about the fact that Americans writ large do not like AI. How

13:15

much of the opposition to data centers that you heard about was just exclusively rooted in negative

13:22

feelings toward artificial intelligence in the AI companies. Almost none of it. I think that some

13:29

people mentioned AI at some point in the conversation is sort of like the cherry on top of this is

13:36

and we're building all this for technology that I don't even like that much that I'm not even sure

13:40

is good for the world good for my kids good for my community. But for the most part the activists

13:45

who are showing up at city council meetings the other folks who are residents in the community who

13:51

were like why is the gigantic building here why is it being built they weren't focused on the

13:56

risks that AI posed. In fact we almost just never heard people even say the words chatchy-b-t

14:03

or open AI or inthropic in these hours long conversations. To be clear I don't want to make

14:08

it seem like people were excited about AI. I think the fact that they didn't like AI very much

14:14

made the trade off not seem worth it. People are more open to new development when they are at least

14:19

seeing some of the societal benefits that maybe a solar farm or a car plant might bring

14:24

and AI seems less useful than say either of those things to a lot of people. But with the exception

14:29

of some more maybe like ideologically motivated a state or national level activists who had gotten

14:35

involved. I would say that more most people are much more concerned with material impacts with

14:41

government process and transparency or with this sort of general distrust of corporations coming

14:46

into their communities rather than the specific technicals of AI and what was being built inside

14:51

these things. So if narrow antipathy toward AI played a surprisingly small role in anti-datacenter

14:58

politics. Some of them played a surprisingly large role is just broad distrust of companies

15:05

and of government. Let's start with distrust of corporations. Tell me a little bit about

15:11

mount pleasant experience with Foxconn and how this serves a little bit like a microcosm to help

15:18

us understand how these small towns relationship with corporations in the last few years

15:25

shapes their relationship with data centers going forward.

15:29

Yeah. So honestly this was one of the most fascinating things to me was that so much of the

15:34

antipathy towards data centers had been primed by very bad experiences that these folks had

15:40

getting screwed over by corporations often working hand in hand with their local officials

15:44

over the last couple decades. And so it's even hard for me to separate out like people don't

15:50

like corporations and people don't like government. The story I heard was much closer to an

15:54

oligarchy or a dark money in politics or a sort of people were getting bribed and sold out

15:59

type story where the idea was that my local officials are colluding with or having the

16:05

wool pulled over their eyes by big corporations to screw us over. So to go to mount pleasant,

16:10

this was one of the sites that I visited. Microsoft has built two hyper scale data centers,

16:14

the fair water sites in this town of mount pleasant. I think that was 26,000, 28,000 people in it.

16:19

So it's not super big. It's a little bit outside of Milwaukee. And mount pleasant is interesting

16:25

because the site that the data center now exists on used to be land that was industrially

16:33

zone for big fox complex in 2017. Right after Trump's first election, he was making these big

16:40

plans about bringing back high tech manufacturing to the American heartland. Yeah, all those jobs,

16:45

all those factories went to China, but I don't know Trump and gonna bring it back. And one of his

16:49

flagship plans was to bring in fox con the Taiwanese tech manufacturing giant into places like mount

16:56

pleasant was constant to build factories. Foxconn started a huge bidding process. Kind of a lot of

17:02

folks might remember Amazon HQ two where they started shopping around to a bunch of local communities

17:07

including mount pleasant. Hey, like we're thinking of building this factory here. We're going to

17:11

bring in 13,000 jobs, good paying jobs, making flat screen TVs. What kind of tax breaks are you

17:17

going to give us? What kind of subsidies are you going to give us? Also, make sure you sign all

17:20

these NDAs so you don't know what anyone else is giving. And so all these towns which are trying to

17:25

figure out how to rebuild industry after the decline of American manufacturing start getting

17:31

very anxious about like, oh shoot, like we need these jobs really bad. We need this tax investment

17:36

really bad. How like let's promise the world to these companies. The mount pleasant did promise

17:42

the world. They ended up taking out over a hundred million dollars in loans to build out infrastructure.

17:47

They set up a TIFF which is a sort of tax subsidy district that is for fox con to exist in. They

17:54

eminent domained a bunch of land that was very controversial. And after all of this that the small

18:01

town did in order to invite fox con in, they finally win the bid. And not only are local residents

18:07

furious at the fact that this was NDA and their city council was keeping mum for so many months and

18:12

being very shady about what was going to happen. They knew something big was going to happen but not

18:16

what. But then it turns out that the contract was in the deal was never as firm as it had originally

18:22

seen over the next couple of years. Fox con keeps pulling back their plans saying 13,000 jobs actually

18:28

maybe just let's start with 1000 jobs. Foss screen TVs let's start with like some smaller screens.

18:34

And basically the size of the investment that fox con ends up making is much much much smaller,

18:38

a tiny tiny fraction of what was originally promised. And so all this land had been cleared. All

18:43

these loans had been taken out to build out roads and grids and whatever for a economic project.

18:48

The literally never showed up. And a large lesson that people learned was not only

18:53

um Foxconn screwed us over by telling us they were going to do this and not but how come my local

18:59

officials, how come my mayor, my city council was so naive and so uneducated as to offer this

19:06

company, all of this from our community without a reassurance that they were actually going to show up.

19:11

And so so much of the frustration in Mount Pleasanton in Wisconsin, we heard this story from so

19:16

many people was not just about the corporations but also about the asymmetry and sort of the

19:22

lack of negotiating power that small towns had against corporations, which means that when

19:27

a data center developer shows up and they too are like, hey, we're going to make a $2 billion

19:31

investment in your small town. Why don't you set up a tax district for us? Please send this

19:35

NDA. Let's not talk about it. It sounds just like the Foxconn story all over again.

19:40

I'm sure many listeners hearing along just like I reading along sort of bumped at the idea

19:47

of NDAs, non disclosure agreements between corporations and local governments.

19:52

How does that work? Why are NDAs being used at all and how is that spooking people?

19:58

It's really strange. I mean, so these non disclosure agreements are, we're very common. I would

20:04

say that data center developers would have local government signed during the negotiations phase.

20:09

And you know, I think part of this is that AI companies are used to doing a lot of stuff under

20:13

NDA with their own employees with any partners they work with. They're pretty paranoid and it's

20:17

kind of a normal thing in Silicon Valley. But further, I think that there's also a reason

20:21

where NDAs allow, allow you to, for example, play communities against each other because no one

20:29

knows the terms of the deal. And like one thing that I heard from multiple local officials I talked

20:33

to was, you know, if we didn't offer them this tax break, maybe they were going to go to Shaboyak

20:38

and up the road. Maybe they were going to go to Caledonia over there. And so it creates this sort of

20:43

again, information asymmetry where because no one's able to talk, no one knows what the

20:46

terms of the deal are and this allows data center developers to extract more from local communities.

20:52

It also sort of keeps land prices stable, right? Because like as soon as people know that data

20:56

center developers have a lot of money, as soon as you know that it's a data center that's coming to

21:01

town, when they start buying out, say, farmland in the area, the prices are going to go way up.

21:07

And so the NDAs also a way for them to protect their side of the deal there. But again, NDAs

21:12

in government are really unusual like solar farms don't show up within an NDA in hand. And

21:19

one thing that I heard repeatedly from even the most pro-built pro-datacenter people who I talk to

21:24

was they all regret the NDAs. Every single person I talked to thought the NDAs were a terrible idea,

21:29

no government ever should have signed them. Because as soon as you do that, the whole thing looks

21:33

much shadier, much scarier than it is. One story that I heard from local officials like Caledonia

21:38

trustee, Holly MacMannis was signing the NDA and the existence of these NDAs meant that local

21:45

governments couldn't get ahead of social media. This was something I heard of a lot was that

21:50

because you can't actually really keep a secret in these places. As soon as a contractor knows,

21:54

as soon as some worker knows, as soon as one city counselor knows, rumors are going to spread.

21:58

People start to get the sense that, hey, who's that showing up at my farm and asking me to buy

22:01

the property for millions of dollars? And if your government has signed an NDA, people start asking

22:07

questions and you can't answer them. Not only do you look very shady as a local official,

22:12

but also rumors are going to start spreading and it's going to get distorted. The NDAs have been

22:18

a big mistake that a lot of folks regret. You even see now that same Microsoft has promised to stop

22:24

doing NDAs writ large with local governments. I've heard from other data center developers

22:30

that they are also considering pulling back on NDAs because it's really just made the backlash

22:34

situation much worse. You described very beautifully the way that the relationship between

22:39

citizens and government and big corporations plays into this narrative of power asymmetries.

22:45

There are powers that be that are trying to shove some deal down our throats and we don't want it

22:51

partially or in some cases because we just had this experience with a GM plant or a Fox

22:56

concland a few years ago and that didn't work out very well for the town. There's one other

23:00

element here that I want to make sure that we touch on which is that if local citizens are

23:06

absolutely sure that artificial intelligence is the next big thing is the next automobile.

23:11

And they might say, okay, yeah, put a data center here. This thing could live here for the next

23:15

century. But if there's any doubt that AI might be above all, then you're going to have more fears

23:21

that this data center construction project is going to be a stranded asset that not only doesn't

23:26

create jobs, but also blights the landscape for many years. Did you talk to people who were worried

23:32

about this stranded asset risk? Oh, absolutely. And this was also, I would say, a surprise from

23:37

for me coming from more of a San Francisco and Silicon Valley atmosphere is in San Francisco.

23:42

No one thinks that AI is a bubble. People are like, there's not enough compute. If there's any

23:47

problem, it's that like we have way too much demand for AI relative to how much compute

23:52

capacity we have to serve as requests. And so the idea of AI being a bubble is not even really

23:57

considered here. Whereas, you know, I go out and I talk to people whether again, like whether it's

24:04

activists, whether it's even workers working on the data centers, people don't really understand

24:11

the technology. They are not really seeing these tremendous transformative benefits in their own

24:15

lives. For a lot of folks, chat GBT is like an email writing widget or like it helps you make memes.

24:21

It's better Google. And so it's not exactly that it's useless, but that their experience

24:26

of the technology does not really fit these trillion dollar evaluations, right? And so people kind

24:32

of have this sense that something about the story economically is maybe not adding up. Maybe they're

24:36

not sure it's a bubble, but they don't know if it's a bubble. They're seeing news headlines that

24:40

it's a bubble. They're feeling like this thing is kind of useful, but it's not going to replace

24:44

the entire economy as these people say, if that's the case, if there's even a 20% risk that the AI

24:51

bubble pops, what's going to happen to us? Are we going to get left holding the bag? Was sort of

24:55

one of the phrases that I heard over and over, like in Wisconsin with these tax incentive districts,

24:59

sometimes yeah, these data centers are paying, you know, tens of millions of property taxes a year,

25:04

that's great, but oftentimes they don't hit the city general fund until 10 years in when sort of

25:08

all of the local improvements around the data center have already been completed. If you think that

25:14

you're not even going to get the property taxes until 10 years, 20 years in, and what if the

25:20

project ends up being smaller than expected? What if the AI company that is serving that data center

25:26

goes out of business because this is a really fierce race and who even knows who's going to win the race?

25:30

Then is that going to become a stranded asset? So many people wondered about this and again, we're

25:35

sort of in a, the deindustrialized Midwest where people are intimately familiar with what it looks like

25:40

for a factory to die and leave town when I was in Jane's Hill, Wisconsin. The exact site of the

25:45

data center is this brown field where there's a 100 year old GM factory that was sort of a corner

25:49

zone of the community for the entire time when they went bankrupt during the financial crisis.

25:54

They never finished the cleanup. There's 30 million dollars of hazardous waste and contamination

25:59

and forever chemicals in the land. It means there's just this 250 acre law in the middle of town

26:04

that is so contaminated that they have not been able to sell the land to any new commercial

26:08

development because nobody wants to clean it up. And so when you have these blighted areas,

26:13

when people see what happens when a company shows up and then leaves without cleaning it up and they see

26:18

this high risk, high tech industry coming in and making these promises again. It's going to take

26:24

four years to build the data center 10 years before the taxes hit. People really start to wonder,

26:28

are we even going to see any of that? So the first theme is anti-AI sediment, which you said probably

26:33

plays a smaller role than most people think. And the second theme is the fear of distrust of

26:40

big business and government working together in a way that's going to screw over local populations

26:45

in the long term. The third factor that I want to introduce here, the third theme, is media.

26:53

Data center opposition occurs on the ground. People are gathering in the physical world at

26:59

a political rally or an anti-data center rally. But a lot of it happens on local Facebook groups.

27:04

Yes. And those local Facebook groups are talking to each other and they're on Facebook,

27:10

which means that in the middle of chatting with someone from your local anti-data center Facebook

27:15

group, you're also seeing memes that tend to be national memes. And when we think about like what

27:21

are the national political memes of the moment, they are anti-Ola Garkey memes. They are memes about

27:29

asymmetries of power, politicians enriching themselves, billionaires becoming trillionaires while

27:35

the working class struggles with affordability. Can you talk a little bit about the way you think

27:42

media, even social media, might play a role in fomenting or thickening data center opposition?

27:51

Yeah. I've been working through and I'm still kind of working through what role I think media

27:56

plays, right? Because on one hand, because of the conversation we had at the beginning about these

28:00

AI water use things, like sort of causing Silicon Valley to not take the opposition seriously,

28:06

I worry about thinking, oh yeah, everybody's just reading fake news and that's why they

28:10

oppose this thing. It seems clear to me that it is not all fake news concerns. There are real

28:14

reasons to be worried about things like electricity rates going up in your area. At the same time,

28:19

it is so clear, as you said, that the internet is a huge part of this. So in Wisconsin, the

28:25

comedian Charlie Barons, who has I think like 1.6 million Instagram followers, he's like a very

28:32

successful Midwestern comedian. He started getting really into data center activism. He started

28:36

hosting events with organizers in communities across Wisconsin, speaking to the local news,

28:42

becoming one of the most vocal advocates. And so one thing that say the Mayor of Port Washington

28:47

was really frustrated by was he was like, you know, we would hold these council meetings and they're

28:52

flooded by outsiders, people who don't live in Port who have seen a viral Instagram video

28:58

from Charlie Barons talking about this. And that's why they're here, but this isn't even their

29:02

community. Another thing that was really interesting was hearing from the village about Pleasant,

29:07

where they mentioned that in part because of the Foxconn Fiasco, they did not send an NDA with

29:12

Microsoft for the data center. And they held, they said upwards of 60 public meetings, discussing

29:18

this project until it from when it was starting 2023 to date in 2026. And the vast majority of

29:26

these meetings went empty. Everyone was fine with the project. Again, all of the land and the

29:29

tax subsidies had already been cleared. It was only when, according to them, the data center backlash

29:34

went national when it became kind of a big political issue in the last six to 12 months. That was when

29:41

local started seeing that stuff on Facebook, on social media and saying, wait, should I actually be

29:47

worried about this thing? I wasn't worried about it before, but now that I'm connecting the

29:52

status center in my community to whether it's these big issues about AI, about the oligarchy, or

29:57

whether it's just reading stuff about the environmental impacts, that was when people really started

30:02

to get upset. And so what I saw in these communities was both in certain ways the data center

30:07

fights were hyper local. And yet they were being amplified by national narratives that were sort of

30:13

giving folks a way to connect their local grievances, like this thing is noisy and construction is

30:17

annoying, to a big narrative about, and in addition, maybe AI's a bubble, maybe AI's going to take

30:23

all of our jobs, maybe these companies are bad, why are they doing it in my backyard? And so you

30:27

have this like extremely interesting interplay going on. The fourth category I want to talk about

30:33

is environmental concerns. Like in national media, you have this raging debate between folks who claim,

30:38

like I said, that data centers are drinking the ocean versus those that say no data centers are

30:43

actually considerably more water efficient than say a golf course. To what extent do you see

30:51

the environmental concerns that seem quite loud at the national level actually moving people

30:59

at the local level? I think the environmental concerns are very powerful. I think that there

31:05

is something about the impacts of a data center being extremely tangible and material,

31:11

which is that you have this beautiful verdant landscape, you have these lakes and trails and

31:17

forests that you love so much. And now somebody is going to replace all that with this giant ugly

31:23

box, right? And so I think the environmental concerns is not even about like, oh yeah, it's global

31:28

warming or something, it's heating the planet, which it's much more like I have a vision of my

31:33

community as this like gorgeous rural place, we live by the Great Lakes, and is this thing going

31:38

to threaten some of that? And so I actually did hear environmental concerns as being almost more of

31:44

a local concern about quality of life and the landscape rather than this sort of like meta-narrative,

31:49

macro-narrative about global warming a lot of the time or sort of climate change at a very

31:54

big level. It's interesting because it's hard to make, know what to make of it because data centers

32:00

environmental impacts really vary project by project, right? So for a long time, there was a ton of

32:06

water that was required to build data centers because the water would evaporate for cooling and then

32:10

they would have to like keep piping in new water, whereas now most of the new data centers are closed

32:14

looped like AC, they recirculate the water so that it isn't actually using more than say like the

32:19

Gulf Course next door. There are environmental concerns that I think are pretty legitimate

32:23

concerned with the power that's required for these things. I mean, the Stargate Center in

32:29

Selene, Michigan will require 1.4 gigawatts of energy. This is I think like an additional 25%

32:35

on top of DT's normal load. That's going to require new power plants to be built out, right?

32:40

And there's a question of how much of that's going to be renewable, how much of that is going to

32:44

be natural gas. Some data centers are building out their own gas turbines like Colossus and Memphis.

32:51

And that is, that has very serious impacts air pollution-wise, emissions-wise on the community.

32:57

It really depends sort of project by project. And one area that I do think that say good policy

33:01

or regulation can play a role is in setting sort of the environmental standards for what kinds of

33:06

data centers are acceptable to build, to keep these two a minimum. Because I do think that something

33:10

that people are really concerned about. So we talked about AI, distrust of corporations and

33:16

government, the ability of media and social media to nationalize local crises so that maybe a

33:26

data center opponent in Texas can say, well, I heard what Foxconn did in Wisconsin. And this is

33:31

just what corporations do to local communities. And then you have this environmental piece.

33:36

Before I move on, is there is there something that I missed? Is there a major ingredient to

33:40

anti-data center politics that I missed before we talk about some of the ways that the AI

33:48

community can potentially react to this? Maybe I would add one small one, which is linked to some

33:53

of these other ones. But I would say affordability is a really big one, particularly in the context

33:57

of electricity costs. And so both I this was really clear in Michigan where the monopoly utility

34:04

providers like DT and consumers energy are both very expensive, very unreliable and spend a lot of

34:10

money on state legislative and governor's races. And so folks had been primed there by just DT

34:16

as raised my rates for out of the past five years. Sure, open AI saying they're going to cover any

34:21

rate hikes caused by the data center. But why would I believe them when I'm working with this

34:24

electricity provider that's literally made electricity more expensive and less reliable every year?

34:29

And then similarly, I was talking to Kathy Hockel, governor of New York about her own data center

34:34

listening tour she was doing in the state. And her team sent over some of the YouTube videos of

34:40

the listening sessions that they did with local officials with residents across New York.

34:44

And more than anything, people were worried about electricity prices because these things are

34:48

putting such immense strain on the grid and when affordability is sort of the name of the word of

34:54

the day in democratic circles, I do think that people's worries about electricity rates in particular

35:01

may be deserve almost like their own sort of category.

35:06

So let's say someone from the AI community jumps into this interview and says,

35:10

hello, can we talk about how data centers are actually good in some ways? Data centers create jobs

35:15

for electricians, for crane operators, for earth movers. They bring in tax revenue. Their

35:20

environmental impact is often overstated by an order of magnitude. You spoke to Terry McGowan

35:28

an operating engineer who offered this quote that I love your reaction to. When I was a young man,

35:35

noise was money Terry told us. Milwaukee just revered these huge, massive industrial factories

35:42

because this engine is paying our bills sending our kids to school feeding us, housing us.

35:46

A lot of those foundries had furnaces, the emissions that would come out, the slag that would come out,

35:51

the oil in the machine shops, it was all pollution. But now data centers are like public

35:56

enemy number one to many of these people and it's clean technology. So he's essentially saying,

36:01

look, I remember an age, you know, 30, 40 years ago, potentially, when big thing comes into town,

36:07

equals tax revenue, let's get the big thing into town because big thing in town equals we get

36:13

nicer schools. To what extent do you think the politics of data centers is so negative? In part

36:23

because like there is no positive coalition organized at the local level. It's like where are the

36:31

Facebook groups for earth movers? Yeah, internally. What do you make of this lacuna, this gap in a local

36:40

argument or in a local case for these data centers, despite the fact that certainly in the short

36:46

run, they clearly are job creators. Yeah, I mean, Terry was one of my favorite characters,

36:51

one of my favorite people I met because his perspective was it was surprising to me. It was unusual.

36:57

I knew that people working in the building trades would be relatively pro data center, but he was

37:02

thinking about data centers within the context of this broader economic history, right? And so

37:08

I also love that noise as money quote. I think that a lot of the stories that he told us

37:14

he were about the way that people's attitudes towards the economy and economic

37:18

growth and industry had really changed throughout his lifetime. Of course, there's the fact that

37:23

again, these are areas whose economies were built on heavy manufacturing. This stuff is very

37:28

polluting. Like that GM plant, the contamination that left in the ground from like all the fuel run

37:33

off and whatever, like a data center would not produce that level of contamination, right? And

37:37

people were not nearly a skeptical of it. Another thing that Terry was telling us was, you know,

37:41

these days people were really worried about buying out farmland for data centers. And he said,

37:46

when I was a kid, people hailed those farmers as brilliant businessmen for managing to sell their

37:51

family farms from multi millions of dollars. People would say, oh my god, you're so smart. And now,

37:57

people are saying, oh no, but the farmers, but those farmers are laughing all the way to the bank

38:01

is what he told me. And so he seemed kind of perplexed in general by the way that what had been

38:06

seen as a boon for communities, which is economic growth, i.e. jobs, i.e. tax revenue, i.e. everything

38:10

else was now perceived with suspicion in a way that when he was growing up, it was not. And so

38:16

I found that incredibly interesting. He also told me to your point about where's the, you know,

38:20

local pro data center faction that he had been trying to get some of his workers to speak up in

38:26

the city council meetings, right? Because the current thing that happens in most of the city council

38:30

meetings is the local officials say, yes, let's do this tax revenue. It's good. They're trying to

38:35

saying like this will prevent us from having to say raise property taxes on residents. That's a big

38:39

promise that's often made. The companies will give these sort of marketing slideshow that people

38:44

really hate about like, look, we're like so good for the environment and like, look at these like

38:48

beautiful like AI mockups of like what this thing is going to look like. And then you have like 100

38:52

community members who are worried about all of the things that we've talked about. And so Terry was

38:57

telling his workers, hey, you guys are like, you know, more sympathetic members of the community.

39:02

Why don't you guys like go to these city council meetings and talk about what this is doing for you

39:07

and your ability to provide for your kids or whatever. They're making like six figure salaries.

39:11

You're getting a hundred dollar cash per day. And it's an amazing job. And apparently people

39:16

are just too scared. They're like, I'm going to get death threats from my neighbors. Like, I don't

39:20

want to do that. I mean, I talked to this guy Adam Schultz also who's a commercial real estate

39:24

broker in Jamesville. I mean, his family's from Rock County. He's been there for a long time in

39:28

the community. And he was willing to speak up at city council in favor of the data center project,

39:33

mainly for tax revenue reasons. And the fact that he was like, I've tried to sell this lot. Like,

39:37

no one else is going to buy if it's not the data center. And he said he got flak with his from his

39:42

next door neighbor about this project. Right. Like these towns are small. And when 70% of people

39:49

are against the thing, you don't really want to be the one speaking up. And so because it has become

39:54

such a polarized issue, I've heard repeatedly from people in different communities that folks who are,

40:00

you know, relatively pro data center, whether because of jobs or taxes, have actually been scared

40:05

to speak up in public about these concerns. And I think it's because it's very hard to make a case

40:12

for something as abstract and in some way speculative as taxes that will arrive in 10 years or

40:20

jobs that are amazing now, but only for 500 people and the jobs also won't be here in 10 years.

40:26

I also think that and tell me if you disagree. There's something about what a data center is.

40:33

It's just different than a factory or a home. Yeah.

40:37

You know, sometimes the opposition to data centers is lumped under this concept of nimbism.

40:44

And you know, it's the co-author abundance. I'm certainly a nimb, rather than a nimb when it comes

40:49

to houses, but houses are houses for people. And data centers are basically houses for computer

40:56

chips. Yeah. For which people serve as assistance in helping the computer chips do their job,

41:03

which is help me answer a question that I've given to Claude. And so I do think that

41:11

while there is an economic history to tell here, that is very interesting. Of the growth machine

41:16

of America between let's say 1920 to 1950 and 1960, being replaced by an anti-growth machine

41:24

of more zoning laws and longer permitting and more aversion to building that has characterized

41:29

America in the last 50 years. I mean, this is what the beginning of our book was about.

41:33

There is also this material distinction between building a house, building a factory with people

41:41

operating the machines and building that which a community understands to be a buzzing house

41:49

for silicon that will not create the same kind of long-term employment benefits as, say,

41:56

a car factory. Is that a fair summary? Or do you think people that you spoke to might disagree

42:03

with aspects of that? I think you're right. I don't think it was something that folks talked about

42:09

explicitly, but I spent a lot of time trying to puzzle through this question of, is it just

42:13

nimbism? Is this different from opposition to say solar farms, which use very similar tactics,

42:18

you have, say, farmers and rural communities organizing on Facebook, packing city council, whatever.

42:24

When I thought about it, I do think that's the reason that data centers are so much more

42:28

unpopular than solar farms or car factories or even chip factories or things like that.

42:34

Is that it doesn't feel the outputs of a data center don't feel real, intangible, and useful to people.

42:40

It's not even that they're evil. It's just that they're useless, right? Everyone knows we need

42:44

housing and everyone knows we need energy and everyone knows we need cars. Maybe they don't

42:48

want it in their backyard. That's normal an bism. But there's a sense that somewhere in your state,

42:52

somewhere in your region, there should be a wind farm or there should be a power plant somewhere.

43:00

As for AI, people are like, I don't want to say why we need it at all. That was a sentiment that

43:04

we sometimes heard. No, that's a huge difference between, I'm a huge fan of housing. It just

43:10

doesn't belong there because of the care to the neighborhood. No, I'm against that data center,

43:15

but I'm also against all the data centers. Yes, which is why you have these like, they want more

43:18

work. That's a different argument. If you look at the polling, I was talking to say Charles

43:21

Franklin, who to Brunsmer, Ketlop holes, and he said that one of the most interesting results is

43:26

that a couple things. One is whether there's a data center proposal or site in your zip code has

43:33

nothing to do with your opposition to data centers. People are just as anti data center when it is

43:37

totally far away versus when it is in their community. That feels like not nimbism. It's not about

43:41

their backyard, right? And then the other thing that he mentioned was a poll of Wisconsinites where

43:46

it's like, okay, of the negative impacts of data centers, which ones are the most important to you?

43:50

Or like, what are you the most worried about? Number one was water use. Number two was, I don't

43:54

think we should build AI, right? Which is really interesting. It was just like, why are we even doing

43:59

this thing at all? And again, I'm not saying that people think that chat GPT is fake or evil.

44:05

They're just like, it's a widget. It's not that useful. The folks I know in San Francisco, maybe they

44:09

feel like they can do five times as much work as they as they used to because of cloud code. People

44:14

think that this is going to transform military advantage and cyber security. I don't think that

44:20

story is very clear to people in a lot of communities and a lot of jobs in America that the stuff

44:25

actually does something. And so when you don't think that these giant boxes are producing something

44:30

that is tangibly useful to your community or yourself, it is very hard to make the positive case.

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I want to talk a little bit about the national scene here. You spoke to Kathy Hocal,

46:12

Governor of New York, who is very interesting on this. Yeah. Is for AI,

46:19

uses AI, has bragged about using AI, has bragged about welcoming chip makers to the state.

46:29

But is also announced to more Torium on data center construction.

46:33

I think it's an interesting combination of policies. Texas, which many people think of as

46:39

synonymous with just build the damn thing, just to now and stay different kind of data center pause.

46:45

Opposition to data centers is rising in Virginia, which is the mecca of data center construction.

46:50

Builds more data centers than any state by far.

46:55

What happens if America just stops building data centers?

47:02

Yeah, I found some of these news pretty surprising. I do not think of Greg Abbott or Kathy Hocal as

47:08

anti-business, anti-growth politicians. Sure, like a DSA from Cheska Hange, she might be running

47:14

on a moratorium, but it's very surprising to me to see that policy pass in New York.

47:19

And so I think that there is something serious and something shifting about the backlash.

47:25

I'll first say, when I asked folks in the AI industry, are you worried that the public

47:31

backlash is going to halt or pause the AI build out? In general, I actually don't hear a lot of

47:36

concern. It's somewhat surprising to me, but people tend to say, yeah, I think that there is a lot

47:41

of local backlash and it's very annoying, but some states are going to welcome it just like fracking.

47:47

So it's just going to go somewhere else. Maybe the decodas will be really happy to have data centers.

47:51

Maybe, again, Texas has temporarily now paused things, but until very recently, we'll just put

47:56

all the data centers in Texas. We'll put in Louisiana. They love the data centers. They're throwing

48:00

out subsidies, right? And so there's the sense that eventually the data centers would just go to the

48:04

places that people want to put them. But I think that if we continue to see these pauses or

48:10

moratoriums in some of the biggest states, like in Texas or Virginia, introduce to something similar,

48:16

we're going to have to shift more of the build out overseas. That's already happening to be clear.

48:22

I think Australia is one place that folks are looking at to build data centers in some countries

48:27

in Europe are thinking, oh, maybe actually if we offered to build some data centers for the US,

48:32

we can manage a compute deal where we get access to frontier cybersecurity models in return for

48:37

building out AI infrastructure. Some of the things that people are more worried about is whether

48:42

the build out goes to places like the UAE because again, if these things are so critical to the supply

48:47

chain for American AI, you don't necessarily want to give that infrastructure supply chain chokepoint

48:53

to an authoritarian state, right? That's pretty worrying. And so some of the concerns with the data

48:57

center build out are if they're not going to, if we don't have enough land or we don't have enough states

49:01

or communities in the US that are okay with these things, we are going to go overseas, sure, Canada,

49:06

Australia, wherever at first, France, Germany, we'll see. Each of those countries is going to have

49:12

their own negotiations with their residents about whether they want data centers in their neighborhoods

49:16

and a lot of people are going to be pretty skeptical of that. But you don't want to keep going down

49:21

stack because the data center builder of last resort in the UAE is not something that is

49:27

advantageous to the US geopolitically from a national security perspective, right? And so

49:33

the other case that happens is maybe we just don't have enough compute, I would say.

49:37

The other thing that is already happening is that we have this macro trend of the closing of the AI

49:43

frontier. I think this is really underrated because for the most hurt people are using free

49:47

Chatchee BT, AI seems abundant. But actually right now we're already seeing that the very best

49:52

models, whether it's like Claude Mythos, for example, or even just like the more expensive Chatchee

49:57

BT plans that can do more work at higher complexity levels, they're being a pay world, like you got

50:03

to pay 200 bucks a month or whatever and we know how much money tech companies are spending on this,

50:08

or restricted for national security reasons and doled out to a handpick set of say 50 companies

50:13

and the US government that have been specially approved, right? And part of this is a safety decision,

50:19

it's people saying we don't want to give a model that can produce bio weapons to a bad actor or

50:24

to a terrorist, and that's fair. But part of the reason the frontier is closing is also costs.

50:30

It's that we don't have enough compute right now to serve all of the AI queries that everybody wants.

50:36

This is actually really scarce and in that world let's ration it out so that's really expensive

50:41

and only goes to a few people. So if the compute buildout doesn't continue, maybe that'll actually make

50:46

AI access much more unequal. It's going to be reserved to only those with the existing capital

50:50

and ability to pay or the relationship with AI companies to say, hey, like I'm like a big US company,

50:56

you can give it to me, but like screw up a screw, the start up, screw all the people around the world

51:01

who are not going to get access. So that's that you talked to someone from Anthropic, OpenAI,

51:06

Trump say, I team, and you say, look, these are the ingredients to the opposition data centers on

51:11

the ground. They think corporations lie, they think their governments are crooked, they look at

51:16

their recent history of companies coming in and promising 10,000 jobs and only creating 50.

51:24

And these folks say, what should we do? Like, what can we offer or what can we say that will change

51:31

material material reality on the ground in Mount Pleasant, Wisconsin? Is there anything they can do?

51:39

What do you say? I've had some of these conversations because after I published the piece,

51:45

of course, people working on the buildout average show and they're like, I'm dealing with this

51:49

right now, like everyone hates us. Like, what do we do? Like, should we just make the bribes bigger?

51:53

Like, you know, like, do you just need to give people more money? One of the other ways they

51:56

call it the bribes. I know. I think that's exactly how they communicated to the theirs too.

52:02

Should we make the bribes bigger? And by the way, let's record this and send it to the local newspaper.

52:07

I'm sure it works super well. But yeah, I mean, honestly, the fact that people's attitude is even

52:11

can we make the bribes bigger tells you a lot about some of the misperceptions of what's really going

52:15

wrong, what's really going wrong with the data center backlash. But yeah, I mean, I think that

52:22

one thing is that there's just kind of this misunderstanding again of like why people don't like

52:27

these things and telling them actually it's like a few thousand gallons of water and not 100,000

52:32

gallons of water. It doesn't really persuade people to say trust their government or again,

52:37

saying like DTE is going to cover the rate hikes with OpenAI. It doesn't work if people have not

52:42

trusted DTE for the last 10 years or something like that. And so one is, I think that there is just

52:48

more understanding of what's actually going on. I'm not exactly sure what to do, but

52:53

some things that are interesting are I do think that I've become more sympathetic to the state level

52:57

moratoriums over this reporting. I think that if you ask me a month ago, what do I think about

53:05

data center moratoriums? I would say that doesn't seem like a very effective way to regulate the AI

53:11

industry. I think that there are more direct ways to do that. I think that we need to continue

53:15

the build out in some form. It seems like a very blunt, undirected tool. But when I talked to say

53:20

Cathy Hogan, one thing that I became convinced of was actually because so much of the problems with

53:26

these deals is about the asymmetry between these small towns, often like 3,000 people like part-time

53:32

mayors negotiating with these gigantic corporate actors. And there are armies of lawyers. One thing

53:37

that states can do is set sort of a floor for deals or streamline the standards and the terms

53:45

by which a data center developer can show up in a community. You can set at the state level

53:52

regulations like it's got to be closed loop cooling. You need to use x percentage union jobs. You

53:57

need to use x percent renewable energy. We're going to do rate payer protection at the state level.

54:02

And making sure that there is not this gigantic asymmetry between a small town

54:07

alderman and these big corporations who are trying to play communities against each other and

54:12

extract as much as possible. I think that actually moving up to the state or even potentially the

54:19

federal level, what does it look like to do a fair data center deal is going to be necessary.

54:23

So at the level of what are the terms for these things, I would say go to the state level and figure

54:31

out what the fairest mistransparent way to do this is that maximizes community benefits, etc.

54:37

But I do think that a lot of this is also just it's now bigger than just like an individual town

54:45

because of the sort of nationalization of the backlash because of the way that data centers have

54:50

become woven into much bigger stories about AI billionaires coming into your town, paying your

54:57

mayor off to shut up and not tell you what's going on, arranging a backdoor deal and then transforming

55:02

the little physical landscape of your community to serve some tech billionaires ego race or whatever.

55:07

Like that meme is big enough now that I don't know if it's ever going to be easy again.

55:14

I think there's a lot that data center developers can do to do more public engagement to do

55:19

better town halls to figure out what community benefits people actually want to explain sort of the

55:25

job story, the tax story, whatever to stop with NDAs and all of this. But fundamentally, I think

55:30

that the data center backlash now that has become an avatar for people's broader frustrations with

55:35

the economy, with tech billionaires, with oligarchy, it's going to be a lot harder to stop.

55:40

So Jasmine, last few questions I want to turn the table a little bit. I think if your work is

55:47

fitting into this genre of cultural translation, you translate America for people who live in the

55:53

Bay Area and build AI, but you also translate or interpret the culture of the people who are building

55:59

AI for readers in the rest of America. And I wonder what are the one or two ways that you think Americans

56:09

would be most surprised by the philosophy of or the personality of the people who are building

56:18

this technology? I'll say two things. The first one is that I think that many people building AI

56:27

from the researchers, the executives, the CEOs of these labs are in fact deeply unsure about whether

56:36

the thing they are building is going to be good for the world. I think that their concerns about

56:41

cyber attack risks, about job loss, about even concentration of power and capital and their

56:46

own companies. I don't think that these are a marketing hype. I think that these folks genuinely

56:51

believe them. They're worried about them and they feel caught in a race, a capitalistic race,

56:57

geopolitical race with China that feels bigger than themselves and that they have no idea how to

57:01

stop. They're all racing forward because there's this sense that somebody is going to build super

57:05

intelligence. Maybe I can build it the least bad way and also get rich, but I can't stop it. And so

57:10

when they say things like we wish the government would regulate us more, I actually think that's true.

57:15

I think that a lot of folks are scared by the lack of agency they feel and being able to stop

57:23

their own creation. And so things like this slowdown letter that has been signed by all these

57:28

executives and at these big companies saying we need to figure out a way that if we wanted we could

57:33

pause the development of AI, I think we should take those desires pretty seriously. And then of

57:37

course it's the government and policymakers jobs to actually figure out the regulation. And that's

57:44

going to be its own battle. But the extent to which people in the AI industry often feel very

57:49

conflicted about their own project, I think is worth taking seriously. The second thing that is

57:55

important to understand about AI that follows from that is the number one question I get from

58:00

folks outside SF outside AI is if they feel that way, why are they building that? If I was worried

58:05

that the thing I was building had a 10% risk of blowing up the world or taking everybody's job,

58:10

I just wouldn't do it. That feels like way too high risk for me. And there I think there's

58:15

something more important to understand about Silicon Valley's attitude towards risk, which is

58:19

really unusual. It's a community that prides itself on being risk takers, on I'm going to invest

58:27

in 10 startups and it's okay if nine of them fail. It's okay if I bankrupt myself on the way to

58:32

trying to achieve glory and immortality and whatever else. It's okay if I inject these Chinese

58:38

peptides that might be full of substances I don't understand but might also make me Tanner and

58:43

Hatter and healthier. And this is a community where people are willing to take these high expected

58:48

value bets where there's a famous quote from Sam Bankman-Freeze on a Tyler Cullen podcast where he

58:55

says, if there's a 51-49 coin flip, 51% odds I could double the amount of human welfare in the

59:02

universe, 49% odds everyone dies. Sam Bankman-Freeze says he would flip the coin. I think that's

59:08

insane. I think that's ridiculous. And at the same time, while that example is very unsympathetic,

59:14

I think that for a lot of folks building super intelligence, maybe it's not a 51-49 set of odds,

59:18

but it's something like 90-10 and they are still willing to flip the coin in that world, right?

59:23

And so the way that folks attitude towards risk and towards I am willing to take the gamble at

59:30

immortality and superabundance and AI that loves us and benefits us all is something that I think

59:36

is very different from the type of gamble that a lot of folks elsewhere in communities being

59:41

materially impacted by AI are willing to make. I'm so glad that we ended there because you sparked

59:47

something that I had never really thought about before. We've used this term power asymmetry again

59:53

and again in this show. I think appropriately because of the power asymmetry that people in Wisconsin

59:58

and Michigan feel about these large companies, trillion dollar valuations, billion dollar CEOs,

1:00:06

making deals with cutting bribes with their democratically elected leaders in order to put this

1:00:11

enormous disgusting, ugly building situated in what is otherwise an Eden. There's a power asymmetry

1:00:18

there, but what you're describing is suddenly different, but also really important. It's not a

1:00:22

power asymmetry. It's a risk asymmetry, right? You're talking about a Silicon Valley culture that

1:00:28

prides itself on risk that says, you know what? Quadruple leverage yourself on Korean stocks and

1:00:33

wipe out your entire fund. It's okay. You'll raise money again next week. Invest in 10 companies,

1:00:38

fail in all of them. That's fine. Spend your entire life building a technology that has a double

1:00:43

digit percent chance of wiping out the human race. Well, there's a 90 percent chance we get to

1:00:47

super abundant. So go ahead and do it. You have this extraordinary appetite for risk, which is

1:00:52

attached to money in Silicon Valley. And you juxtapose that with what I'm thinking back across our

1:00:59

conversation as a very different attitude toward risk among these people who live where data centers

1:01:04

are being situated, they're thinking, if there's a 30 percent chance that this is another Foxconn

1:01:10

situation, then hell no. If there's a 20 percent chance that this data center or AI breaks down the

1:01:16

same way that the GM factory and America's auto industry broke down, then hell no. If there's even

1:01:22

a small chance that they might be lying about some of these numbers, then hell no. That if there's

1:01:26

any risk, then the answer is no. And that's a real interesting juxtapose. It speaks to,

1:01:33

I want you to have the less word here, but I'm just thinking it's just, it's just really

1:01:36

interesting because it speaks to not only this economic imbalance between American Silicon Valley,

1:01:42

but also this like characterological or psychological gap between the people building this technology and

1:01:49

the people living around the data centers, they're plotting across the country. Jasmine, last word here,

1:01:55

please. Yeah, I just want to emphasize that I both think that there is this deep values and

1:02:00

dispositional difference that comes with building your career in a high risk industry like startups and

1:02:05

VC and AI. And I think that a lot of Americans correctly understand that when you are playing these

1:02:11

high risk games, who gets left holding the bag is not an equal endeavor. The distribution of risk

1:02:16

is not an equal endeavor. Leopold Oshenbrunner can blow up his fund and he will be able to raise

1:02:21

billions of dollars again. Whether when that GM plant goes away and 70,000 workers are laid off

1:02:29

overnight and they can't retrain and they can't move, that is a very different distribution of risk.

1:02:34

And I think that a lot of folks kind of correctly suspect that if this is a bubble, if the AI

1:02:38

thing does blow up, these AI people are going to be fine. They've got enough money over there.

1:02:43

They've got the next tech project to work on. But the people in these small towns with a giant

1:02:48

data center in the community that the tax base has become dependent on now, they are not going

1:02:53

to be able to recover as easily from that. Fantastic point. Jasmine Sun, thank you so much.

1:02:58

Thanks so much for having me.

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