The A.I. Revolt Is Here | The Ezra Klein Show
2270 segments
What is big, ugly, and has united
Republicans and Democrats at a time when
it has felt like nothing else could? AI
data centers. Last August, a heat map
news poll found that about 4 in 10
voters would oppose a data center being
built where they live. By May of this
year, opposition grew to 7 in 10.
Florida Governor Ronda Santis, a
Republican of course, has proposed a new
citizens bill of rights for AI. The
incentives [music] of big tech are not
the same as what's in the interest of
the people and the public.
>> Senator Bernie Sanders called for a
national data center moratorum.
>> This moratorum will give democracy a
[music] chance to catch up with the
transformative changes that we are
witnessing and make sure that the
benefits of [music] these technologies
work for all of us, not just the
wealthiest [music] people on earth.
There are over a hundred local or
statewide moratorium proposals across
the country. And here in New York,
Governor Kathy Hokll, not usually
thought of as a hardcore populist, just
imposed a one-year moratorum on [music]
data center construction.
>> These hypers scale AI data centers
consume enormous amounts of power. Truly
threatening to outpace our grid's
capacity
and they drive up costs for local
rateayers.
and I refuse to let those costs be
passed on to New Yorkers who already pay
too much for their utility bills.
>> So, I wanted to get into the fight over
data centers. How much of this is really
about water or electricity or aesthetics
and how much is about AI itself and the
companies that are behind it? My guest
today is Jasmine [music] Sun. Jasmine
has been doing excellent coverage of
both the culture inside the AI
companies, [music] unusual culture, and
the anger that is building against them
in the rest of the country. I highly
recommend following her Substack, but
right now she just finished a reporting
trip in the Midwest talking to the
people organizing against these data
centers and I wanted to hear what she'd
learned.
>> Jasmine Sun, welcome to the show.
>> I'm so excited to be here. So, you just
got back from a reporting trip in
Wisconsin and Michigan covering the
fight over data centers. Let's just
start with what you see when you're near
a data center. What does it look like?
>> I think one of the most important things
about rural Wisconsin and rural Michigan
is how beautiful it is. Um, I felt like
I was in Eden. I felt like I was in
paradise. It's incredibly lush,
incredibly green. And as you get closer
to a data center, you start to see more
power lines. You start to see more
towers. And eventually you just see what
looks like an extremely
large flat warehouse, but you just see
this sort of like verdant landscape give
way to what is a windowless industrial
park. Data centers are very ugly. Um, I
think I didn't appreciate this until I
started standing in front of them,
getting near them, listening to them.
People will time how long it takes to
drive past a data center on the highway
going 70 miles per hour in Port
Washington. I think it's like a minute
and 42 seconds. The size of these
things,
>> that's a long on a highway.
>> It is a long, long ride. Like these
hypers scale data centers are huge. They
are massive. And so I think that the
aesthetic questions right around is this
what I want my state, my community to
look like, these are really salient to
people. You mentioned hearing them. Yes.
What do they sound like?
>> Oh my gosh. I mean, they sound like
humming, buzzing, warring. Every once in
a while, you'll hear a rattling.
>> Residents who live next door to some of
them say they're producing noise that's
not only annoying, but debilitating,
like this right here.
>> But again, they're windowless. There are
not that many workers inside. Um, so
they're very mechanical sounds. They are
inhuman as a lot of folks would say.
>> So you spent a lot of time with people
organizing against data centers. Uh who
were they?
>> Um you had stay-at-home moms, you had
retired executives, you had um farmers
who didn't like the impacts on their
land. Uh you had activists, professional
activists with environmental groups in
the state. Um, it was an interesting mix
of people, but a lot of women relatively
more left-leaning, though definitely
some right-leaning folks as well.
>> So, one question I've heard people ask
is, how much is this different than
other kinds of industrial installations?
I mean, there are a lot of things that
are built all over the country that you
wouldn't necessarily want to be right
next to. Are data centers unusual in
this or are they, you know, from
fracking to industrial agriculture just
like the latest version of it?
>> It's a good question. It's one I had and
thought a lot about before I went. Um,
and I've talked to city officials who
are confused by this question of we had
a chip fab here, we had an auto plant
here, we had a fulfillment center here,
and nobody cared as much. Why are data
centers so much more unpopular than say
solar farms which also faced local
opposition in places like Michigan? And
so I think while the quality of life
concerns around this thing is loud and
annoying and ugly and consumes resources
are very similar to other industrial
projects um there must be some reason
that opposition is so much more severe
and widespread even beyond the
communities where the data centers are
literally being built. And I think that
question has a lot to do with the AI
with the AI industry and sort of the way
that people feel about these companies
and these projects.
>> When I read your reporting on this, when
I've talked to people involved in this,
it always feels to me there are sort of
three layers of concerns that are
converging
>> into what we call the data center
backlash. There's process,
>> then there's direct impacts,
you know, the environment, water,
electricity,
>> and then there's AI itself. And maybe
let's go through them sort of one by
one. One thing that I have been hearing
a lot of and and I've seen in your
reporting as well
>> is the anger over how these processes
are going and in particular the use of
NDAs which is not that common. Right.
I've covered a lot of
>> what does it take to build a housing
development and you don't tend to hear a
lot of the city councilmen got put under
an NDA,
>> right?
>> So what is happening with these NDAs?
Yeah, I mean this is also something that
really surprised me and um I think the
NDAs that I
>> should say non-disclosure agreements,
>> right? The non-disclosure agreements,
this has really inflamed the amount of
local opposition that you see. And so
basically what would happen oftentimes
is there would be some sense starting in
city council that maybe a big
development project was going to show up
but because of the NDAs the council
members would not be able to disclose um
that necessarily it was a data center
necessarily who the customers were going
to be a company like OpenAI or a company
like Anthropic or whoever um or even the
size of the project like how much
electricity is this actually going to
consume but whispers would start to get
around. I was talking to um a VP of a
construction union and he was saying,
you know, there's an old Irish saying
that the only way to keep a secret
between three people is to kill two of
them, which I thought was hilarious. And
so he's saying when these developers
show up, they talk to the general
contractor. The general contractor talks
to all their subcontractors, the
subcontractors talk to all their
workers. Yes, maybe everyone is signing
NDAs at every part of that process, but
whispers get around. And as soon as
whisperers get around, you start to get
social media posts. You start to get
rumors and the city council because they
are beholden to these NDAs, they lose
the ability to get ahead of the social
media narrative. That was something I
repeatedly heard from these local
government officials was we could not
get ahead of social media because we had
signed an NDA and rumors started getting
around.
>> But why do the companies want these NDAs
signed?
>> I mean, I think they didn't think about
it. They didn't realize there would be a
backlash. They just thought it would be
easier in case they change their mind.
These companies sign lots of NDAs with
their own workers, with anyone who works
with them. I don't think there's a good
reason. Microsoft has actually decided
to stop using NDAs because of the level
of backlash. I've heard from uh people
managing compute at some of the other AI
labs that they are thinking of making
the same decision. One thing that
surprised me is all of the pro data
center, probuild people who I spoke to,
whether workers or AI developers, they
all regret the NDAs. They all think that
they made the situation much worse.
>> What is the impact of a new data center
on water usage, water availability in a
town?
>> They do require some of it obviously
primarily for cooling the data centers
because these chips and servers run
really hot and they need AC. Um the
thing that's gone a bit wrong in the
water debate I think is that today's new
data centers are almost all closed loop
systems. closed loop in the same way
that air conditioning is closed loop
which means they're recycling the water
within the system and they use a
fraction of the water that you know golf
courses use and in fact in places like
Jainsville Wisconsin we would often see
a literal golf course right next to the
data center site but they do use some
and it has sort of become uh a very
sticky icon of like these things
resource consumption a lot of folks I
talked to in Wisconsin and Michigan they
would say things like you know they're
building right by the great lakes why
would they do that if they weren't
trying to drain the lakes Why would they
do that if they didn't need all this
fresh water?
>> And so your your view is at this point
the technology has changed such that
water is not as big of a deal as maybe
it actually was a couple of years ago.
>> I think the next thing people have heard
a lot about is energy usage.
>> So walk me through that.
>> Uh the electricity consumption issue is
real. So um data centers do in fact use
an incredible amount of electricity. Um
these uh these chips and these servers
that are processing gigantic
mathematical calculations to make AI
work require tons of energy. All these
chips and clusters are talking to each
other. You need the interconnections to
be really fast in order to get like a
chatbt answer really quickly with low
latency. You need these super fast
connections. All of that's powered by
electricity. So we are talking about a
really really significant amount of new
electricity that is going to require new
generators, new power plants. It's
probably going to be natural gas in the
near future. Once the data center is
fully operational, there is not a ton of
air and water pollution, assuming that
everything's working correctly. They are
relatively clean facilities, but you
know, like a lot of folks are concerned
about the electricity use. They're
saying, "Yeah, maybe the data center
doesn't use that much water. Maybe the
data center doesn't pollute that much,
but what about all of these, you know,
new power plants that they're going to
build in order to power it?" When the
tech companies come into these towns and
begin talking to the city council
members, when they begin talking to the
community, what are they sort of
promising on the one hand, right? This
this is why this will be good for you.
And what are they asking for on the
other?
>> Yeah. I mean, so these things do provide
an incredible amount of tax revenue,
right? And so, um, in Mount Pleasant,
the on the old Foxcon site, which ended
up being bought out by Microsoft, they
saw, oh, there's all this infrastructure
already here. Why don't we build a
hypers scale data center on this unused
industrially zoned land? Uh Microsoft is
on track to pay $19.6 million in
property taxes in 2026. This is expected
to continue for many years. Again, this
is a small village of 28,000 people. Um,
and so there are really meaningful
property tax benefits. And I do think it
I find it frustrating personally when
anti-data center organizers say that the
job creation is a myth because I think
that 500, you know, maybe six figure
jobs for folks who go through
apprenticeships, but maybe don't need
college degrees that last two to six
years. That's enough time to build a
family. That's enough time to buy a
home. I think it's super meaningful. And
when I talk to technicians, when I talk
to workers, clearly it was extremely
meaningful work. Um, I think what one of
the things that was the most surprising
to me when I talked to data center
activists was that they they responded
to so many of the proarguments with I
don't believe them. So like this company
says that they are going to treat the
water with chemicals in it so that it
doesn't flow into the lakes. People
would say I don't believe them. I don't
think they can do it. people would say
uh the companies would say we are going
to cover uh the cost of our own
electricity grid buildout. We are going
to ensure that rates do not go up for
all Michiganders. Um a lot of folks
would say I don't believe them. DTE has
raised our electricity rates basically
every year since 2022. Why would this be
the year that they decide not to do it?
I do not believe them. They are going
the we are going to create 500 jobs and
some of these will stick around after
the data center is built. people just
said I don't believe them. It was really
clear to me that data centers are
showing up in an environment of
extremely low trust in both governments
and in corporations to the extent where
the proarguments almost do not land
because people just aren't interested in
anything an outside tech company is
going to tell them. They say they have
big PR teams. They can say whatever they
want. One thing that became really
obvious to me when I talked to both
people at the AI companies and local
officials is that two years ago, no one
thought that data center backlash was
going to be like this. And so these
companies were in fact looking for
things like um does this state have a
sales tax exemption as Wisconsin does to
ensure that they don't have to pay sales
taxes on their very expensive chips on
their very expensive GPUs. Um they were
often looking to build in places that
might even offer local subsidies to the
companies for building in that area. I
think that a lot of the balance of power
has shifted as local opposition has
ramped up. Um, now it's the case that
I'm hearing from some local officials if
we did this again today, we wouldn't
have to offer any subsidies because in
fact now there is so much local
opposition that the developers are
really looking where is there going to
be a comm a local community and a
government that is friendly to our
project. How can we, you know, have a
Christmas tree ornaments worth of
community benefits agreements? And so
just the nature of these deals and how
much they are skewed towards communities
versus the AI developers has really
changed. One of the things that came up
a lot in your reporting and that I
thought was interesting was the fear
that this is a bubble
>> for sure.
>> And what's going to happen is your
community will agree to something and
then in the middle the bubble is going
to pop and you're going to end up with a
halffinish data center or one that is
not being kept up correctly or something
where the
>> you know promised benefits don't emerge.
I mean you were in Wisconsin which had a
very very bad experience with Foxcon
which seems to be structuring the way
people are thinking about at least some
of this.
>> So talk to me a bit about that uh set of
concerns.
>> Absolutely. Yeah. I think in terms of
what people in these communities with
these data centers feel when they see
the projects come in with their gigantic
like $2 billion of investment like these
gigantic numbers that are being dangled.
It feels like a bubble to them. One,
they're seeing news articles saying
maybe a AI is a bubble. We don't know
it's a bubble, but it could be. Two, you
do have exper experiences like Fox Con
where you have an big tech company show
up in a very small community, in this
case, Mount Pleasant, Wisconsin, a city
of like 28,000 people. It's not very
big. Get, you know, hundreds of millions
of dollars in infrastructure investment
and tax subsidy from the from the town.
Promise 13,000 highpaying manufacturing
jobs and then pull out because the
contract wasn't set up correctly. they
decided they didn't actually want to
build a bunch of flat screen TVs in
Wisconsin and the you know the town is
left on the hook having invested all of
this money in the grid and in roads they
got I think a thousand jobs in the end
Foxcon is still paying back all of this
debt that has been accumulated and so
experiences like that have really really
soured people on the question of when an
outside big tech company comes in and
you know promises these gigantic numbers
and all of these jobs and all this tax
revenue and it's for this technology
that like you can't a lot of people they
don't see, they don't feel, they don't
find personally extremely extremely
useful, not at the levels of these
valuations. They have a lot of questions
about if the bubble pops, are we going
to be the ones left with a stranded
asset in our community? I mean, in
Jainsville, Wisconsin, um it was
famously the site of this 100-year-old
GM plant um that was the centerpiece of
the community that employed a ton of
people. when they left during the
financial crash in 2008 and the plant
closed down. Not only did it sort of
devastate the community from a work
perspective, um but they also left $30
million of contamination and hazardous
waste in the middle of the city that has
never been cleaned up. There's forever
chemicals in there. This is why
developers have not been able to sell
this brownfield is because there's so
much waste that GM never cleaned up. And
so I think that people worry about what
happens if the AI bubble pops. If maybe
it doesn't pop and the data center
developers just decide, never mind, we
want to build elsewhere. Never mind,
this data center isn't good enough. We
have newer, better technology. And who's
going to be left holding the bag? That
was the question I heard over and over
again.
>> But this is something that I do think is
in people's minds, right? You you bring
this in and right now you're at this
time of very very high valuations,
>> right? And if AI demand isn't quite what
you think or even just the company that
was behind this particular data center
is not part of the winner's circle
>> that in a couple years what you got is
this like giant
>> box.
>> Yeah.
>> That's not going to continue being
valuable. And so whatever the promised
benefits are from it, you know, tax
revenue, etc. Yeah. Maybe they show up
for a while.
>> Yeah.
>> But then what if in 5 years they're
gone, but you are left with this
infrastructure. It's like they can leave
Jainsville, right,
>> with no real concern. They're not there.
Their people don't live there, right?
But if you're in Jainsville, you do live
there.
>> Yes.
>> Yeah. A real concern.
>> You see the You see things like this
with Elon's giant Colossus data centers,
right, that he built out in Memphis?
>> And what makes people feel better about
a new construction project in their town
than calling it Colossus?
>> Oh, yeah. [laughter]
Yeah. I mean, these things
>> unairring touch for the people.
[laughter]
I mean, so usually the thing that
happens is they give them very cutesy
names like Project Canoli and the barn
and they try to make them sound as
friendly as possible. But yeah, I mean
with Colossus, XAI never really took
off. People were not in fact using Grock
as much as Elon thought he they were
going to be using it. And in that case,
he was able to get a really good deal
selling the compute capacity to
Anthropic, which was growing like crazy
and had not built enough data centers on
their side. But you could totally
imagine a world as you say where in fact
you know XAI decides we are going to
focus on space. We don't care about AI
anymore. Maybe there's non-anthropic to
pick up the bill because anthropic has
maybe built enough of their own compute
capacity. There is an open question
about what happens in that world. So uh
I wrote abundance uh last year with
Derek Thompson who published it
>> and one thing I've heard been asked by a
lot of people is like what is the
abundance take on a data center
>> and the like the beginning of that book
has this line that uh you know the
question is what do we need more of and
how do we get it
>> and I think the question here that has
been so [snorts] hard for the AI
companies for the people trying to build
data centers is
actually getting people to believe they
need more of them. Right? When you're
talking about building affordable
housing, when you're talking about, you
know, building an array of solar panels
or wind turbines,
>> there's a pretty legible argument.
>> Yes.
>> For why you need that, right? People
still may not like it, but we need homes
because we need places for people to
live.
>> We need solar panels because we need
clean, renewable energy.
How much is this like a normal kind of I
don't even exactly want to call it
nimism but uh but a normal kind of I
don't want the industrial infrastructure
built in my backyard because like you
know what am I going to get out of that
>> and how much of it is actually something
that is more related to people's
feelings about AI which is I don't want
this built here because why would I want
to pay the cost for a thing that I don't
want there to even be more of in the
first device.
>> This I think was one of my big
motivating questions going into this
trip is is it quote unquote normal
nimiism? Is it about AI? Is it about
something else? And so I spent time both
looking at polls and trying to talk to
people about would you be excited if
this was a chip factory which would use
a lot more water and pollute a lot more.
Would you be excited if it was a solar
farm? Also maybe acquiring agricultural
land and turning it into industrial use.
Would you be excited if it was a million
other things? And um I talked to Nick
Bagley who you've had on your show about
is this just proceduralism and we talked
about the solar farms example where
solar farms uh the opposition use very
similar tactics to the data center
opposition. They were organizing in
Facebook groups. They were packing town
halls. They were talking about the local
impacts and the importance of farmland
and the visions for their communities.
Um there were zoning fights of course.
Um, but like you say with the solar
farms, you do have a very clear procase.
You have a faction. You have a group of
people, a constituency, people who care
about the environment, who want
renewable energy, who understand that
that's a thing that, yeah, maybe it
sucks to have in your backyard, but you
can take one for the team because this
is important for our planet. Um, you
don't really have a pro- faction with
AI. Same with like the auto plant,
right? You have one, you have maybe
7,000 workers in the old GM plant in
Jainsville who all have families who
really care about them, who see that as
a constituency. Everyone drives a car.
They see their car as essential. I think
the fact that it's creating these
tangible outputs really, really matter.
Um, I don't think that data centers have
a compelling
proconstituency besides the utility
companies and the AI companies which are
already incredibly incredibly unpopular.
And I went in and asked these
organizers, do you guys use AI? I do
find it useful. This was one of the top
questions that my friends in San
Francisco wanted me to ask is, "Are
these people like using Chat GBT?" And
they don't even realize that the data
centers are how they can use it. And
what I found there was a lot of these
folks did say, "Yeah, I've used it to
draft an email or make a meme." They're
not denying that AI might have any
possible utility at all. Um, but they
clearly didn't see it as essential in
the way that cars, energy, and housing
are essential. They clearly saw it as
kind of like a widget, a toy. Um, and
maybe there are these risks, maybe
there's the job stuff, but fundamentally
they were like, "This thing is not that
useful. I don't really see in my
personal life how this could justify
these gigantic valuations." And so I was
talking to for example um Charles
Franklin who runs Marquette Law Polls in
Wisconsin and he was explaining that
usually you see 50/50 polling on issues
where you have a strong anti-case and a
strong proase and the only reason you're
kind of seeing this 7030 bipartisan
opposition to data centers no matter
whether you live near a data center or
you don't which means it's not just
nimism it's you don't want a data center
in anyone's backyard um is because he
was like there is no strong proargument
for it. There is not even a fight that's
really going on. Nobody wants it was a
phrase I heard over and over.
>> You have a very influential definition
of AI populism where you call it a
worldview in which AI is viewed not only
as a normal technology but as an elite
political project to be resisted.
Unpack that for me.
>> The phrase that you hear a lot from AI
critics is why is this being shoved down
our throats? um or with you know chatbt
it's not that people are saying there is
literally no use for chatbt it's people
are saying why are you forcing me at my
job to use AI to do something worse when
I could do it better and so I think that
a lot of the public backlash to AI that
has risen over the past six months is
not explained by people thinking that
the technology has no use at all um it's
not explained by them being worried
about specific technical property
properties of LLMs that might lead to
rogue AI or misalignment or whatever,
which are the sort of safetiest
arguments. It's AI as sort of an avatar
for a small group of Silicon Valley
billionaires ability to impose their
vision of the world onto everybody else
without their consent. And I think
that's also what I hear echoed in these
data center debates. It's not just uh
it's going to use this much water or
that much water. I frankly think that
even if there was no misinformation
about water use, people would be just as
angry about the data centers.
>> Yeah. I consider the water I don't want
to say the water issue is fake. Um what
I will say is like there was a debate
>> Yeah.
>> uh online a while back about how much um
water like a chachbd query
>> Yeah.
>> consumed. And somebody was like if you
really care about water are you are you
eating beef?
>> Yes. As someone who doesn't eat meat, I
thought this was a quite good like you
could really save a lot of water by
going vegetarian.
>> Yes.
>> Um and relatively much much more than
not using cha and relatively few people
in that conversation were giving up meat
>> or giving up YouTube videos
like use more water than a chachi query.
>> Which is to say that I think sometimes
people don't like a thing and they're
looking for reasons to justify that
dislike.
>> Yeah.
>> But what's actually happening at the
base is they don't like the thing.
>> Right. and the data centers like as
you're saying I think speak to this AI
populism question like even more
precisely because the issue with AI
itself is that I think people's
relationship to it is very complicated
right I have myself a very complicated
relationship to AI like I use it a fair
amount
>> I'm not sure I think it's a good thing
for society the way it is going I don't
want my kids using it I know they'll be
using it like maybe it'll make things
better but I really don't know like I
think that the costs are going to be
very very high for us relationally and
economically and you know and so I just
I'm very conflicted
>> but do I want to live next to a data
center? Yeah. No.
>> Yeah. [laughter] It's totally different.
>> Like that's easier.
>> I mean one of the most
>> somebody is just making you do that.
>> Yes. of like going to this um I back
toback I went to this Abdul Bernie AOC
rally in Lancing, Michigan and then I
went and saw the Seline activist the
next day and I was researching how the
Seline Stargate project happened and it
was really interesting to see these
echoes of the populist message sort of
manifest in this specific project. Like
when I'm at this rally, people are
talking about the oligarchy. talking
about uh corporate billionaires, whether
it's big tech or big pharma or DT, the
utility companies, um paying off
politicians in order to, you know, screw
the people over. And that's why you need
the people to come together and to get
money out of politics to prevent DT from
donating to these super PACs and paying
off Gretchen Whitmer or whatever. And um
then when I learned how the Selen data
center saga played out, what happened
was the Selen Township City Council,
unlike a lot of city councils actually
voted 41 against reszoning their land
for the data center. So this was a case
where local government said, "This is
not our vision for our community. It's
not worth it to us." And what happened?
The data center developers sued Selene
Township, a town of like again a few
thousand people, um into saying, "Wait,
no, this is exclusionary zoning. you
can't have no industrial use in your
entire township. And when a town of that
size is getting sued by a giant AI data
center developer, they just settled.
They were just like, fine, give us a few
million for the fire department and for
some schools. And this fight is not
worth it to us. But that to people felt
like a profound a profound violation of
little democracy. It felt like the dark
money and politics story, which is, you
know, you have some very rich companies
show up with the bag of money to your
politicians. They don't tell anybody
else what's happening. the politicians
aren't allowed to tell their citizens
and involve them in the decision-making
process and they themselves work out a
deal, a deal that is fundamentally
asymmetric because of the amount of
money on one side that will then
transform the image of your community,
your lived reality into the world that
these tech companies have decided for
you. And so I think that the data
centers in that sense are a very
visceral uh microcosm of the way that a
lot of people feel that AI is showing up
in their lives. I
>> I would also maybe even take that a
little bit further. I think that the way
that not all of the egg companies and I
think Anthropic has largely been a a
good actor here, but many of them have
acted has opened up such a chasm between
what they say and then how they act
under pressure that one should be
incredibly incredibly skeptical of them.
And what I mean by this is that,
you know, Sam Alolman and all these
different people, you know, in front of
congressional testimony and in
interviews will say, you know, it should
not just be us making these decisions.
There should be a real deep small D
democratic role here in how AI rolls out
in um, you know, what effects it has on
communities and how it is governed.
And then when a community or a
politician
you know who is representing a community
tries to say well we don't want the
status here or we want to impose these
regulations.
>> We have watched repeatedly these
companies
>> turn tremendous amounts of financial
artillery.
>> Yes.
>> Against whoever is standing in their
way. Right. and to to use this the
expertise and the money and the power
they are amassing to kind of
shortcircuit that democratic voice.
>> Yeah. I mean a couple things. One is
like I think one big gap I noticed
between Silicon Valley and the folks in
these communities I was talking to is
Silicon Valley does tend to think that
money solves all problems. That if you
just make the check bigger everything's
going to be okay. And I think people
have a sense for I'm being bribed. This
corporation is not offering me a free
lunch or whatever. there's going to be
something that I'm losing here. And in
fact, sometimes the fact that the data
center deals were bigger or the amount
of political spending was bigger.
Actually, it just makes people more
suspicious. Like in the Abdul race, like
his number one like hit on Haley Stevens
is how much money she is getting from
Apac, from DTE, from Pharma, whatever.
And so, one is just that I think we're
in a political environment where making
the numbers bigger and the amounts of
money bigger makes people more
suspicious, not less. Another one I'll
just quickly mention is I don't even
think anthropic should be left off the
hook for things like labor market
impacts, right? They are the ones
simultaneously warning that we might see
a you know 50% of white collar jobs lost
by 2030. This is really important to us.
We're freaking out about it. Uh Daario
has written in his essays um we might
see an underclass of people of lower
intellectual ability and they are
building the agents. They are building
the coding agents, the banking agents,
the design agents that they know are
going to displace jobs or they believe
at least are going to displace jobs. And
I think that people feel that hypocrisy
as well, which is if you are so worried
about the inequality, why are you
building the agents to do it? And when I
ask executives and researchers and
whoever at anthropic this question, they
don't really have a good answer because
it is true that their business model is
fundamentally premised on the disruption
that they say they are causing. You did
a big piece for the Times on the very
widespread belief in Silicon Valley that
they will create this underclass.
>> Yeah.
>> What does the underclass mean to them?
>> The idea of a permanent underclass
caused by AI is basically a world where
any job a person can do either AI or a
robot can do for them. which means that
workers lose all the economic leverage
they have and capital owners, people
with money, can simply pay machine labor
to do all the work instead of paying
workers. What that means is anyone who
earned their living by working is no
longer able to do that. You end up with
a world of runaway inequality where the
rich get richer and the working class
gets poor. Maybe they get some welfare
checks, but fundamentally it's a loss of
economic mobility in a society. And when
I ask folks in Silicon Valley, do you
think by default AI is going to increase
or decrease inequality? I have not yet
heard anyone say it will decrease
inequality or keep it the same. They
might say the floor will get really
high. They might say AI will bring the
cost of consumer goods down and so
people's lives are going to get cheaper
and you know everyone will be super
healthy so it's okay. But I have not
heard a single person in the tech
industry tell me that they believe that
AI is going to decrease inequality. And
in fact, many people are very worried
that instead most workers will lose
their leverage and be on a kind of
permanent welfare in the faroff future.
>> I I'm pretty skeptical of this vision,
although I don't rule it out, right? It
might happen. Although, I just don't
think AI is going to be quite as
revolutionary as a lot of these people
think and will not diffuse into the real
world as easily. But, you know, the
thing you're going to need to adjust to
any major technological change is time.
And then also it's like the AI industry
is in like an allout war to make sure we
have as little time for adjustment as
possible. [laughter]
>> I mean look at I just find it hard to
like unnot that
>> how many enterprise salespeople are open
AI and anthropic hiring in order to
convince companies that they can replace
their workforce or not maybe not replace
but expand their workforce with agents
instead of humans. Right? They are
having these sales conversations trying
to persuade people of these questions. I
don't think that a permanent underclass
is the likeliest outcome economically
that we're going to get. I think that AI
is actually just really jagged and human
jobs are super complex and super hard to
automate. And most of the folks who are
predicting economic apocalypse haven't
actually worked enough real jobs to know
how complicated and how multiaceted most
jobs really are. But I definitely agree
on the speed point. I think that like
Alex economist has made this point very
well. Um, one thing I think a lot about
are people say, well, humans can adjust,
humans can reskill, they can retrain,
they can just do the new jobs that we're
going to develop instead. But you look
at things like software engineering
where people will often say now, um,
senior software engineers are doing
great. They love cloud code. Um, junior
software engineers have been mostly
replaced and you see hiring and job
postings are down in that sector. Well,
do we think that a human software
engineer is going to rescale or upskill
themselves faster than the next model is
going to get better at software
engineering? That's the question that I
really wonder about is if AI progress
outpaces humans ability to reskill,
retrain, upskill, adapt, then I'm not
really sure what there is going to be
left there. There will be some jobs
left, but it's going to be a really
really painful adjustment. I have had so
many people at the top of these
companies, right, the very tippy top,
tell me they wish all this would slow
down.
>> Yeah,
>> I'm sure you have had them say this to
you, right? But in this world where
in their unguarded moments, they will
say they wish all this was going slower.
Well, one way to slow AI down is to
constrict the number of data centers you
can build.
>> Yeah.
just like you've done, you know, as good
a reporting as anybody on just how
conflicted people even working for these
companies seem to be about what they are
building and yet that yet they're in
this competitive race to build it as
quickly as possible.
>> And so it makes them a pretty
unconvincing
>> pro faction.
>> Oh, absolutely.
>> We're building the thing we're telling
you to be afraid of and we need to build
it as fast as possible even though we
sort of admit that it would be better if
the whole thing was slowed down.
It's very confusing.
>> It's a weird argument.
>> Yeah, it's so confusing.
>> I remember when I sat down with Abdul
Aliad, the Michigan Senate candidate, he
cited Dario's 50% white collar job lost
stat probably like five times in the
30-minute conversation. It's like he was
like, they're saying that there's going
to be recursive self-improvement and it
might kill us all. Like, yeah, I get why
you would not want to make this thing go
faster. This is true for data centers,
but it's true for any other reason way
that you might slow AI down, which is
that everyone only wants to be slowed
down if they can guarantee that the
other companies that the Chinese labs
are going to slow down with them. So
long as that's not true, they're going
to keep racing. And I think for that
reason, yeah, I mean, the thing that I
hear when I talk to people at the
companies, data center executives about
the buildout is how much money do we
need to give these cities to let us
build a data center? tell us how to
bribe them better. Tell us what we can
do. And so when I talk to them about the
buildup, I'm not hearing any sort of
personal moral reckoning with slowing AI
down. I'm hearing how do I make the
bribes bigger? How big do they need to
be?
>> So then how do you reconcile what
many of these executives, many of these
AI company workers are telling you about
their fears of creating an underclass,
about their fears of losing control. I
mean we just saw the situation where uh
open AI's model was breaking out of a
sandbox in order to sort of cheat on its
evaluation right so the AI safety people
are very worried right the safety teams
in here clearly don't have full control
or even understanding of what they're
building
>> how do you reconcile if you reconcile
the way the AI companies talk when they
are giving voice to their fears or the
people at them talk when they're giving
voice to their fears
and their like pretty profound hostility
to anything that would slow down how
fast we are building this thing whose
consequences they freely admit they
cannot predict.
>> Yeah, it's fascinating because just on a
very personal level when I talk to
people at these companies I just think
like man if I thought this thing might
have a 10% chance of killing us all or
taking taking everybody's job I wouldn't
work on it. I would not build that. I
personally [laughter] could not morally
justify taking that chance. And and when
I talk to people who are not in the San
Francisco AI world, they feel like I do.
They're just like, why would you do it?
And I think there are basically three
rough buckets of rationale that I hear
from people um or that I hear between
the lines from people. One is um this
sort of sense of technetism.
It's super intelligence is going to be
built inevitably. there is no way it's
not going to happen. If it happens, I
want to be part of it. I want to make my
money from it. I want to maybe make it
happen in the least bad way. I think
that's a super common answer. Another is
um
this technology might kill us all, but
it also might be really amazing. It
might produce super abundance for
everybody. We might be immortal.
um it might double everyone's lifespans,
cure all diseases, bring the cost of
every consumer good, housing, energy,
whatever to near zero. And that would be
utopia. And so I think all the time to
that anecdote that I think SPF said on a
podcast where it's
>> Sam Bankman Freed.
>> Yeah, Sam Bankman Freed sent out a
podcast where it was like if you could
flip a coin and it was 51% odds you
would double the total amount of like
human welfare and 49% chance everyone
dies, would you flip the coin? He says
yes. And again, I feel compelled to say
like caveats here of like, you know, how
do you really know that's what's
happening? Blah blah blah, whatever. Put
that aside. Take the hypothetical, the
pure hypothetical. Um, uh, yeah. Yeah.
>> I think this is a hyperbolic example,
but I think it's not actually that far
off from what a lot of the people
building super intelligence believe too,
that they are basically willing to flip
the coin. Maybe we all die, but maybe
we're all immortal, and that expected
valuewise cancels things out. Um, and
then the final category is just I think
folks who are so fascinated by the
technical endeavor of whether we can
build this thing and how to do it that
they just aren't super worried about the
consequences or what else might happen.
Um, so people have all sorts of
self-justifying narratives as to why
it's worth it. Some I think are better
than others. Um, but it makes sense to
me why the public is not particularly
sympathetic to any of these.
>> I mean that middle narrative I I heard
Sam Bankman Freed say that. I think it
was on Tyler Cowan's podcast and
>> I was like, "Oh, that's psych that's a
psychopath,
>> right?" To actually believe that, you
would have to be a a psychopath, you
would have to have a very very very low
value
>> on I think human life. Yes.
>> Right. [snorts] Imagine being the person
who flips that coin and it comes up
wrong.
>> Oh Jesus. Yeah.
>> Like I'm a parent.
>> Mhm.
>> That like the idea that you would do
something that's like 5149 on like your
kid is, you know, doubly happy or your
kid is gone. like you would never you
you like you don't even want to say that
out loud.
>> Of course, I think that's how almost
everybody thinks about it. And again, I
think 5149 is obviously the most
egregious example you could think of.
And so SBF is very unsympathetic. But
when I think about the super
intelligence bet, a lot of people will
characterize it as a 9010 bet, as an
8020 bet. And this question of how much
is an acceptable amount of either
extinction risk or total disempowerment
risk. Um, you know, I think people have
very different risk appetites and
Silicon Valley is a place that has
always prized their high risk appetite.
I think that makes a lot more sense when
you're talking about maybe yourself or
your company full of people who have
opted into taking a very high-risisk
endeavor. I think that's extremely
different obviously when you're talking
about the rest of the world. And one
thing with the data center debates that
I'd always hear is like, you know, I get
that these people are making this crazy
bet on this technology. They think it's
going to change the world, but why do
they have to do it in our backyard? Why
is Mark Zuckerberg not building a data
center in his backyard? And so this
question of yeah, you guys are going to
create like these very tangible impacts
and to their view harms on specific
communities that are not the communities
benefiting from this technology. At
least they don't see the benefits yet.
They don't see the cancer cures. They
don't see themselves getting these
million dollar million dollar salaries
that the AI researchers are getting. It
feels like I think it feels to a lot of
these folks like they are pawns in some
tech billionaires' game and they do not
like to feel that way.
>> Why aren't they building it in their own
backyards? Why don't you see a bunch of
data centers in, you know,
>> I mean, I don't
>> Northern California. [laughter]
>> I don't think I need to tell you why
it's so hard to build in Northern
California.
>> But I I both I both think that's true
that it's hard to build in Northern
California. But I also think there's
like a truth to the other thing being
said they don't want them there. No,
>> I mean the land is expensive. It would
be very hard like and expensive to build
a data center like the places we're
we're talking about.
>> But it also gets at a core truth which
is people don't actually want data
centers around them. It is a cost. It is
a concentrated cost for a diffuse
benefit.
>> Like if you believe in the benefit.
>> Yeah.
>> So I think that's part of it.
>> I want to go back to the first bucket
you were talking about which is like the
race dynamics.
>> Yes.
So, at the most generous, the thing that
I've heard repeatedly is sort of what
you're describing, which is it would be
better if this were going slower,
but I can't control that because I
whether I'm at, you know, Anthropic or
Open AI or Google or Meta,
>> you know, if we slow down, it just is
our less ethical competitors over there
who speed up. And even if you put down
legislation slowing down all of America,
then it's China,
>> right?
>> You know, the CCP
which is going to to win the race.
>> I guess one question is, do you buy this
central metaphor of a race that has a
like a ticker tape line where at some
point somebody passes it and then they
have the recursive super intelligence
and like the race is over? Or do you see
this more as like most technologies like
a kind of like a linear
set of gains? I mean can be fast, can be
slow, but that doesn't have that
somebody is going to win dynamic.
>> Yeah, I find this really confusing. One
of the first things that I um did when I
started reporting more deeply on AI was
try to figure out what AGI meant because
a lot of the way that this race has been
characterized is who will build AGI
first? who build artificial artificial
general intelligence first. Um thing
first thing I found no one agrees on
what that means. Uh AGI means everything
from techn AI that can build itself to
AI that can do all human jobs to AI that
produces whatever number of economic
value. Um and so everyone has these
different milestones for what
constitutes AGI to them. What that also
means is that the race has different
finish lines and moving finish lines.
And I think that like you see the way
that these uh models perform differently
on benchmarks. They are extremely
jagged. They can be super good at math
and they can be super bad at poker at
the same time. Um they can be yeah
amazing at cracking cyber security
problems but not able to build anything
in the physical world. And because of
that I don't think that technology is a
as general as people suggest it is. I
also think that means that it is much
harder to define a finish line to the
race and my sense is that the race
because you cannot adjudicate it,
everyone will always feel that they are
falling behind on some dimension. I mean
to then make the case for that these AI
companies are making is they do believe
in this recursive self-improvement. They
think that you know OpenAI, Google, deep
mind and anthropic are all extremely
focused specifically on the question of
can we build AI that builds itself? Can
we build an AI that can train the next
generation model completely from scratch
on its own? And in that sense, you get
an exponential pace of improvement for
whoever can hit that recursive
self-improvement curve first. And they
think that this might lead to that
company pulling ahead. Right now, folks
think that it's anthropic, which has the
best coding models, meaning they can
code faster, meaning that their next
models are even better.
I can see where that argument is, but
I'm not sure when we look at, you know,
the latest anthropic models versus the
latest open AAI models versus the
latest, you know, Chinese open weights
models that we see a company pulling
ahead that decisively in that way,
especially when every single company in
lab is using the same recursive
self-improvement strategy. And so,
basically, I don't know that the race
has a finish line. And that's what
worries me about it continuing.
>> The reason I want to focus in on this
race metaphor for a minute is I've come
to think it is really one of the central
dividing lines in how you think about
different kinds of AI policy.
>> Whether you think that we are in a race
with China to get to the point where one
side or the other is going to pull like
endlessly and decisively ahead because
they hit that, you know, recursive
self-improving level.
Well, then that means what you do in the
next 1 to 3 years is incredibly
incredibly definitionally important.
[sighs]
>> But if you don't believe that, if you
believe something more like yes, this is
a powerful technology. It's a powerful
technology that might have a lot of
downsides, might come with a lot of
social instability.
Um, its effect on a society may not be
good. then
let's run faster to the bad place is not
nearly as compelling an argument. And
all of a sudden the idea that we should
have policy in place that slows things
down for more voice for more
consideration.
It's not crazy. And I guess one place
this goes is that I have begun to notice
like a really interesting convergence
between the SFAI safety people
>> in a way and like the AI populace like a
Bernie Sanders or in a different way
Abdul Alad
>> who are getting to not that different
places but through very very different
mechanisms right they're like the AI
safety people who actually believe we
are in a race
>> but they believe that winning that race
might bring the end of humanity Right.
>> And so like they don't they don't want
to move that fast, right? If we began to
slow down, we would have more
credibility for negotiating with China
and like trying to come up with like
international treaties and all the rest
of it, you know? And then you have like
the kind of more AI populous side who
just like doesn't want to give all these
tech billionaires all this power, who
doesn't believe this technology will be
good for people, and they're starting to
come up with like maybe not the policies
AI safety people would, but you know,
data center moratoriums and things like
that.
And so you have this sort of slightly
strange
like you would not have considered this
coalition.
>> It's super interesting. I mean you
literally have Ronda Santis doing AI
roundts with Max Tegmark who's been one
of the leading advocates of pausing and
slowing down AI, an MIT professor, and
you have Bernie Sanders doing viral
videos with Eleazar Yudkowski. Um the
guy who's telling us that AI is probably
going to kill us all if we build it. Um,
I was talking
>> just both in lines and doesn't and does
kind of makes it, you know what I mean?
[laughter]
>> Yeah, totally. I've been spending some
time in DC this year to talk to some of
these AI populists, some from the social
conservative right, others from say the
labor left. And um, this Bannon guy I
was talking to told me he's like, you
know, like I wouldn't send my kids over
to a playday at the polycule, but I can
do coalitions. And so I think it's been
one of the most interesting uh,
political stories going on right now is
the sort of strange bedfellows that have
emerged. I mean, even with the data
center stuff, I was talking to an
activist and they were saying these were
liberal women who had gotten into
politics after the 2016 election of
Donald Trump. They said that data
centers were the first thing that got
them to talk productively with their
Trump voting neighbors about politics,
the first thing in like 10 years almost,
which is fascinating to me. And in this
sense, they felt a really strong sense
almost of uh political agency that
almost came out of this fight. Um, so I,
yeah, I think one of the big questions
that folks in AI safety, for example,
are thinking about is, do we want to
build these alliances with the rising
left and right populist waves in
American culture in order to slow AI
down? Maybe it's okay that we have
different reasons and different theories
for why AI is so dangerous. For one
person, is big model bad. For another
person, it's big billionaires bad, big
tech bad. Um and those folks are sort of
linking arms in a lot of ways against uh
the AI accelerationists and sort of the
folks pushing the race faster. So I
think it listening to this we've been
sort of living in the data center
moratorum side of the politics.
But what's the other side of it? What
are the problems with just saying okay
fine like let's not build any more data
centers?
one like this is not actually the way
that you would successfully slow down AI
if that's what you really wanted. Um one
if you if one locality or one state
imposes a moratorum AI companies are
very very happy to go to other states or
other countries. They are already
flooding into Texas for example because
it's had such a pro data center
environment. People are looking at
Louisiana, the Dakotas, Australia. Um,
space of course is a current big
interest of Elon Musk's because people
think that maybe not now but in five
years we can just put all the data
centers in space and solve the political
problems that way. So one is I'm not
really sure that this would stop AI
progress that much. It would just shift
the data centers to other places that do
welcome them. Um the second thing is I
actually do think that there are ways
for these deals to be good. Not every
community should want to data center. I
think that many of them may discuss it
and say this isn't what we want. We
don't need the tax revenue that bad. But
in a lot of the cases with these sites
that I visited like you know in the old
GM site in Jainsville, the Vidian
Partners, the data center developer was
going to clean that brownfield up. They
were the only ones willing to do so. I
talked to a real estate broker who had
tried to sell the site for 5 years and
he couldn't do it because not a single
other commercial buyer wanted to clean
up all of this hazardous waste. Only the
data centers were willing to do that. Or
with Mount Pleasanton, the Foxcon site,
right? They had already cleared all this
land. They had built all this
infrastructure. Putting a data center
there was a net improvement for the
community most in my opinion personally
from an economic perspective, from the
perspective of there was nothing going
on there anyway. Um, so I think that
there are ways to do these deals, right?
There is enough money in this industry
that a lot of communities will decide it
is economically beneficial for them to
bring in these jobs and bring in this
investment. But I think that the way
that the data center deals have been
done nearly guarantee the amount of
public backlash that there's been. And
the thing that will probably fix it, I
suspect, is probably um either like a
state level streamlining where someone
does the research probably at the state
level, maybe at the federal level to
figure out what is the fair way to do
these deals. How do we ensure the
communities get the most transparency,
the most benefit out of data center
deals when they happen? So it's not case
by case and it's not so asymmetric with
a town of 12,000 negotiating with an
open AI or whatever.
>> I would add two other things to that
that I'd be curious to hear your take
on. So one you mentioned data centers
moving towards other localities and
those localities are not randomly
selected. They're localities that are
going to impose fewer conditions. So
maybe that is fewer environmental
conditions but you know in the case of
maybe a UAE or some of the Gulf states
that are interested here you know you're
looking at more authoritarian countries
right so I've heard a lot of people
worry about that or you know Elon Musk
in space. Uh so in a sense if you make
it so the data centers cannot go into
places where there is more democratic
control they might you might end up with
less overall democratic control. The
other thing and and I do think this is
significant is that there is right now
more demand
>> for compute than there is compute.
>> Yes.
>> You know people talk a lot about a
bubble but we do not look to have excess
AI supply at the moment. Mhm.
>> And if demand keeps rising because you
know the coding agents get better and
all the rest of the things we know that
are happening but you are constricting
the supply of compute
then you end up with more inequality and
who can afford it. So you know a Goldman
Sachs a JP Morgan right so you know a
company with a lot of money to buy
compute is going to have a lot of it and
then you know ordinary users small
businesses etc. If you believe AI is
important and powerful and I believe it
is important and powerful then you have
a problem where you have created much
more stratification and who can afford
it. How do you think about those
dimensions of it?
I think with where you build the data
centers, a lot of folks are starting to
look at building AI infrastructure as a
form of geopolitical leverage, right?
And so some countries like places like
Australia, Canada, um countries in
Europe are thinking actually maybe the
way for us to get a slice of Frontier
AI, for us to negotiate with uh the
countries where the best AI is being
developed like the US for in cases like
cyber security access um is to say, you
know, we'll build your data centers
here. will actually welcome you in and
in return uh maybe you guarantee us
access to the frontier models. Um so I
think that one is that we should look at
a AI infrastructure as a point of
leverage um that both states and
countries have and as you mentioned if
local moratoriums in the US if domestic
moratoriums or something like that lead
to giving that leverage and negotiating
power to authoritarian states that's
probably something the US should be
really worried about. On the other hand,
there are folks like um Anton light at
Carnegie has done work on this where
it's can we give our allies, can we give
our democratic allies um negotiating
leverage through them building out
compute. The second thing that you
mentioned about pricing is interesting
because I do think one of the big macro
trends in AI right now is the closing of
the frontier. It's the fact that the
very best models like mythos from
anthropic are not being open to
everybody. That is both a safety
decision as in we don't want to give
really powerful cyber weapons and
bioweapons to a bunch of bad actors or
just unknown actors. It is also a
pricing question of the best models are
really really expensive to run. They
don't have enough compute to run them.
And so we're going to have to charge a
lot of money or only give it to the
biggest corporations. And I think that's
a reason that startups are worried uh
that countries outside of the US are
worried that normal people are worried
maybe we get super intelligence and I
can achieve all these amazing things but
I'm not going to get it. Maybe my boss
is going to get the super intelligence
and they're going to automate my job but
as a worker as a consumer I'm not going
to be able to do the same thing. So I
think it's also a really good point that
if we don't continue the compute
buildout, we do see a world where it is
the folks with existing capital and
access probably big corporations in the
US and the US government that are going
to have access to Frontier AI and all
the benefits that it confers.
>> You were in China for a trip reporting
on AI. Was there much political AI
backlash and ferment there from what you
could see? I was super interested in
this question on this trip because I was
finishing my times piece on the
permanent underclass while in China. And
so I was basically asking everyone I met
there, whether it was engineers at the
labs or just my family members or sort
of normal middle- class people in
Shanghai. Um, are people worried about
AI and jobs? Um, are people worried
about AI and social instability? Um, I
think the answer is not as much. I
caveat this of course with the fact that
the information environment in China is
obviously suppressed. you can't uh
dissent um in public on social media
nearly as much as you can in the US. You
don't have good polling. So, it's kind
of hard to understand the actual level
of social discontent there is in China.
But I would say that for the most part,
people were not as terrified of AI as
they are in the US. Um there's a few
explanations for this. Some people say
that China is more technoptimistic than
the US is. I don't love this explanation
mostly because the thing that I heard
was not exactly optimism. It was not
exactly, yeah, we're going to get the
cancer cures and the super abundance. It
was something a lot closer to
technology is a force that cannot be
stopped. It actually in some ways
reminded me more of some of these
Silicon Valley beliefs that the future
is predetermined that when the state
decides that something like AI is a
national priority that is going to march
forward and as an individual there's not
much you can do to resist especially in
a one party state in a authoritarian
society there is no culture of
resistance really and so rather than
thinking about how do I prevent AI in my
workplace or in the world that's not
really a thing that a lot of people in
China think about it's how can I use AI
to make sure I don't fall behind. in an
environment that already has crazy
levels of white collar competition and
white collar unemployment. If you're if
you're not upskilling yourself with, you
know, open claw or whatever, there's a
million people in line behind you who
are going to get on the bus. At the same
time, I think that the Chinese state
takes a pretty different approach to the
US. Um, when it comes to AI regulation
and also to technology regulation in
general. And so, uh, China has passed
laws sort of banning a lot of kinds of
companion chat bots because they're
worried about relationships. They're
worried about fertility rates. um
they're worried about addiction. Uh
China has passed uh made court rulings
that say that AI replaced this worker's
job. AI can do this worker's job is not
a good enough reason to lay off a
worker. Um you have regulations that
require all AI generated images to be
labeled and you'll see the made with AI
sort of language on all of the AI made
ads in China. And so there's also a
sense that some people, some Chinese
have that their government is more
likely to look out for sort of the
social downsides and the labor downsides
relative to the US government which has
thus far been pretty less a fair
especially at the national level. Right.
And that gives some people a bit of
soulless as well.
>> There's been some reporting that China
and Russia are pushing sort of anti-data
center oh yeah
>> memes and you know social media bots. Uh
it's hard for me to tell what scale that
is, but it has been very much picked up
on by like people like Kevin Olri the
for the Shark Tank guy who's you know
big data center project has faced a lot
of backlash.
>> Do you buy the the sort of growing view
among like at least some tech elite that
the data center backlash is like a
Chinese scop?
>> I think this is ridiculous to be honest.
I mean, so I read the OpenAI report that
was saying like this is all a CCP plot
and like it pastes in the accounts and
the tweets that are doing the SCOP.
These tweets have like no likes on them.
They have two views per tweet. So I'm
not doubting that. Like I'm sure some
clever CCP propaganda person has
attempted to inflame the anti-data
center sentiment. I have not seen
evidence that any of this is working. I
think it feels very organic. I think I
also tend to be personally a little
suspicious when you just castle your
political opponents as being
misinformed. I think there's a way in
which people use foreign influence to
avoid thinking about the fact that there
are people that they live with in
society who do not agree with their
vision of the world. And when I talk to
these uh data center activists for
example, they are actually much less Tik
Tok adult and misinformed than I think
people like to caricature. A lot of them
understand sort of the basic facts of
what's the difference between an AI data
center and the old kind of data center.
how much what's the difference between a
closed loop system and an openloop
system? Most of these people are not
just misinformed. They have just
personally decided I'm not that
interested in having a data center in my
community even if it pays some property
taxes.
>> So when you talk to people in the AI
companies and and sort of talk to them
about this backlash, I know they're very
worried about this, right? I've talked
to them about this.
>> What are they learning from it? I do
think that this year in 2026,
I've AI executives, AI researchers have
started to take the public backlash a
lot more seriously than they have in the
past. Um, I've heard executives ask,
"Can we do better marketing? I don't
understand why it is that Whimos are so
unpopular." Um, I've heard executives
ask, "What do you think are the deals
that we should be making? Do you think
we should just be mailing checks to
every house that lives near a data
center project? Will that fix things?
Um, like tell us how to make a better
deal. Do we need to cut people's
electricity prices in half? Would that
work? Unfortunately, the word bribe gets
used a lot more than I am personally
comfortable with. I think that when you
are framing the thing you're doing, even
jokingly, as bribing communities into
putting a data center there, I don't
think you're starting off on the right
foot. Um, I think that people can feel
when they are being bribed. I've heard
these people say these companies are
biting us. Um, so there's a little bit
of examination. The thing that I don't
think is being examined as much as I
want it to be though is are we building
a technology? Are we building a product
that is helping people?
>> Yeah. The version of this I have heard
is we have a marketing problem. Maybe we
should stop saying aloud so often.
>> Yes. that our technology might take
everybody's job and has a 10% chance of
upending or destroying humanity
altogether.
What has not been clear to me even as
they begin to like maybe move away from
that messaging a little bit is whether
or not they no longer believe that.
Again, I am my personal view is like I
don't think it's going to take
everybody's job. But to the extent they
do or at least they take that very very
seriously, it's like I keep hearing them
say that we have a marketing problem.
And I keep saying when I talk to them
about this
>> that if you believe the things you have
been saying and in fact the things you
have told me personally,
>> you don't have a marketing problem.
>> Yeah.
>> You have a problematic technology like
you have a product problem.
>> Yes.
>> Because people are not going to want
that future.
>> Yeah. I mean, I think I would make some
distinctions between, of course,
different companies, different
executives, right? Like one thing that's
like very interesting to me thinking
about the comms in Silicon Valley is
that for a very long time, these
companies were only marketing to
potential recruits and potential
investors. Basically, they were trying
to win the vibes on AI Twitter in San
Francisco. And I kind of feel like they
never realized everyone else could hear
them, right? And so now they're trying
to take it back. But like my sense is
that Sam Alman for a long time part of
the reason he was talking about like oh
shifting the balance of power from labor
to capital and like rogue AI and
whatever was also because he was winning
points among people who he wanted to
work at open AI and he had to
communicate that he was as agi pill as
them. He was as worried about the same
safety things as them and now that his
interest is more in political goodwill
and IPOing and things like that he's
sort of changed his tune. Um, I think
that, yeah, I I'm I'm not sure to what
extent every AI industry actor has
always believed the things that they've
warned about.
>> I think people can believe things they
don't feel, if that makes sense.
>> And I think a lot of people in the eye
industry are in a culture and inside
arguments where
this set of outcomes feels very real,
right? Uh or or looks very real. And so
I think they believe it. I think when
they make these arguments, I don't think
they're just doing it for, you know,
publicity points. In fact, I think it's
the opposite. I think when they're now
trying to move away from some of these
arguments, I think it's actually much
more of like a cynical marketing ploy.
>> Yeah.
>> But I think they often believe these
things without actually like in their
bones,
>> feeling it.
>> Um, which is sort of why they act
>> relatively heedlessly.
>> Yeah. or at least like on the set of
things they believe like this
speculative notional set of beliefs
about what might happen is way less
close to their core. Yeah.
>> Than their belief that if they don't
build this data center or get this next
model out like their competitors or
China or somebody Yeah.
>> is like going to get in front of them
and they're much more motivated by by by
the push forward.
>> Yeah. I mean I think the technological
determinism is just such a big part of
it. I think that if I'm trying to think
about how my friends in the AI industry
would react to this conversation, that's
the thing that they would say that we
are not focusing on enough is they are
so sure that there is no way that AGI or
super intelligence or whatever it is
does not get built and it is only a
question of who builds it. I think that
fundamental sort of underlying belief is
what justifies everything else is we
have to be the ones to do it. Us pulling
back, us stopping is not going to
prevent any of the bad stuff. Right. I I
agree with that and I think that's why
the China card in this has been such
like a destructive part of the argument.
I'm not even sure it's totally untrue.
Like I I am completely willing to
believe that China and America are in a
race for a economically and
geopolitically important technology even
if you don't buy like recursive super
intelligence. Mhm.
>> Um
but the way that has then been used to
not say well we should enter into
international negotiations or something
but instead just like we cannot slow
down whatsoever no matter what else we
worry about or or believe I think has
been it is it is acted as a kind of of
blackmail and the thing is that it's not
bought by enough people no
>> outside of the industry but I think the
phase of the politics we're now in is
out of their control And it is just not
going to be the case that they have
control over the AI narrative like next
year that they had two years ago. And
yeah, I don't really think they know
what to what to do in that space. And so
now it's like either going to have to
start benefiting
>> Yeah.
>> people, right? You some of these like if
people began seeing like drug cures come
out, right? All these things we've
actually been promised, right?
>> And you could say like we're beginning
to see the beginning of like
mathematical conjectures. Like that's
been pretty cool, but we're not really
seeing the gains. And if you start
getting the losses before the gains,
right? You start getting the job loss,
for instance, before the promised, you
know, super abundance,
>> politically, that's not going to be an
equilibrium you can protect.
>> That's one of the things I'm worried
about is I do think that we are pretty
likely to see we are seeing a lot of the
social instability before we get the
cancer cures, right? And so or even with
the math stuff, it's like I think that
one thing I notice more and more now is
this deep cultural and values gap
between Silicon Valley and the rest of
America, the rest of the world. I'm not
saying that Silicon Valley is wrong,
that it's cool to like disprove the
Jacobian conjecture, right? Like um it
is cool, but like when you ask a lot of
people in the tech industry what their
utopia looks like, they'll say things
like, "We have UBI, so no one has to
work anymore. or we're all immortal and
we've discovered all of math and
physics. And if you do the polling on
UBI and immortality, neither are
especially popular with the American
public. I think that
>> we pulled immortality is a [laughter]
funny
>> I mean it's been pulled. You can look it
up. Um if you ask people what like they
want AI to do for them, it's not
necessarily having you know parents tow
in your pocket. It's not disproving
math, right? Like they want things to be
cheaper. They want to be healthier. They
want to not do crappy work so they have
more time for the stuff they like. But I
think it is genuinely true that the
stuff that is really cool and also that
it's oftentimes technically easier to
solve like math um is not what most
people want from this technology. Um and
I think it's also true that it's just
literally technically harder to cure
cancer than it is it turns out to prove
math theorems. And the other thing that
I hear from the public when I talk about
the cancer cures is, yeah, but are they
going to just use it for themselves? Is
Peter Teal or whoever just gonna buy
himself immortality? Am I going to be
able to afford immortality?
>> My view for a very long time has been
that a lot of people in these companies
overrate how much of the bottleneck in
scientific and human progress is raw
intelligence.
>> Yes. Yeah.
>> And just I mean this is a point of
abundance. just but the point of
covering anything anywhere
>> the world is full of friction.
>> Yeah.
>> And you know you want to do drug
discovery and I think we should actually
do a lot to make drug discovery easier,
make drug testing easier, right? Like I
have said this many times before, I
would like to see us prepare like drug
development for a world where AI is
spitting out way more promising
molecular candidates.
>> But that's still a world where you need
enough monkeys to test things on,
>> right? humans to test things on, rats to
test things on, right? And you still
need to do all the safety data and just
the amount of the world that is slowed
down by we don't have any good ideas
like we are out of ideas versus
it is hard to organize things uh amidst
humans you know amidst you know with raw
materials like in bureaucracies in
organizations you get like intelligence
is important um but it is not everything
and I think anybody who's like been in
organizations like knows It's actually
less than you think it is.
>> Yeah. Again, I think of a, you know, a
lot of these people have been AI
researchers for their entire careers.
Maybe before that they were physics PhDs
or they were uh doing quant trading
which are all these kinds of jobs that
are fairly they're IC jobs or individual
contributors where you're not
necessarily working in big teams. So
there's not a lot of politicking and
relational work where all of the
relevant context lives inside a single
codebase. And so for AI to sort of
understand what's going on, it can kind
of explore all this context that's
already been written down. I'm not
saying there's no tacet knowledge, but a
lot more of the context is made
explicit. And these are also places
where simply applying more thinking and
more intelligence just as an individual
like as a person, a remote worker in a
closet or whatever might actually find
the more efficient algorithm, right?
Like you don't actually need to politic
your way to a better algorithm. You
don't need to do stuff in the physical
world to get that. And so I think a lot
of people at these companies don't
really realize how hard that is. cuz I
mean it's funny cuz people will say
things like um yeah there's like
electricity cost and energy cost to AI
but like AI will maybe solve the climate
and I ask how and to be clear I think
there are a lot of ways that AI can
improve you know climate science
research help
>> yeah building efficiency
but like at the same time you ask people
and it's just like oh I don't know it's
just going to do it right or it's like
oh how how is AI going to improve
robotics like I don't know AI will
figure it out you kind of do have this I
I find it lazy actually like I one of
the things that annoys me about this
particular approach is it's not that I
don't think that AI can contribute to
all of these problems. I think it
definitely can but what I often hear is
a kind of laziness about how it's going
to do that and it feels like a DSX mocka
of it's super smart it'll just figure it
out.
>> I used to say that this was back when
you know Silicon Valley was a more
optimistic place than it has been in
recent years. uh but that the difference
between the culture of DC where I live
for a long time and of Silicon Valley
was that in Silicon Valley people's
worldview is formed by seeing impossible
problems prove possible to solve and in
DC people's worldview is formed by
seeing possible problems prove
impossible to solve and I think that is
now going to collapse for the AI
industry into one worldview because you
know these are people who like give them
their due
They've invented artificial
intelligence. Like they actually did it.
>> You know, this is amazing. Like I cannot
believe how good some of these systems
are. I'm like shocked to be living
through this.
>> They were able to do that. That seemed
impossible proved possible. And now
they're going to now they're finding
it's like impossible to build a data
center.
>> Yeah. [laughter]
>> And like that's what doing other kinds
of things in the world teaches you.
>> Yes.
>> That there are a lot of problems that
are not possible to solve. Not because
like you cannot come up with the idea
for them
>> but because you are dealing with like
the messy realities of societies of
politics of values of you know um
logistics
>> and um it'll demand a kind of it'll
impose a kind of realism I think on the
industries that it has not always had.
>> Yeah. I was trying to think about what
the difference was between how I would
describe Silicon Valley and San
Francisco culture a year ago. um let's
say early 2025 versus now. And I think
the number one thing is that Silicon
Valley has really woken up to politics.
Um you know, in January 2025, Silicon
Valley was feeling very triumphant about
about Doge, about Elon Musk, about David
Sax and Trurom and the White House. It
kind of felt like they were all in
control. And actually, if you just build
the these genius technologies and you
get super rich and you have good ideas,
you'll just, you know, get the political
power to enact your vision. And a year
and a half later, a lot of those folks
are out of the White House. They failed
at reducing the national debt and
achieving all these other goals that
they thought they could just AI their
way into solving. Um, Anthropic, for
example, um, is has had a lot of
problems in its dealings with the Trump
administration, fundamentally very
political and very relational problems.
>> Daario's problem in dealing with the
White House was not, I think, that he
didn't have good arguments or that he's
not very smart or not saying logical
things. Um, I think that anyone from
anthropic will admit that these are
largely relational problems. And so
there's a way where I think democracy
and politics is a lot more powerful than
these very rich and very smart tech
people realize. Um, and there's some
optimism to that, I think, and in in
looking at it and saying it's actually
really hard to buy an election. It's
actually really hard to buy out the
whole White House at once. Um, but it's
an interesting moment I think for uh the
tech industry to be realizing how
important politics really is and how
difficult it is.
>> I think that's a good place to end.
Always a final question. What are three
books you'd recommend to the audience?
>> Oo. Um, so I think the first one is
really relevant to this conversation
which is uh Benjamin Lobitudes the
Maniac um which includes a sort of
lightly fictionalized biography of John
vonman the story of AlphaGo. I think
it's very much a sort of halfway novel,
halfway non-fiction book about how
intelligence is incredibly all inspiring
and something worth respecting and at
the same time can lead people to some
very dark realities. Um, my second book
is The Technology Trap from Carl
Benedict Trey, which I think is very
much about how people's attitudes
towards technology and automation depend
on to what extent the benefits, the
economic growth is shared, to what
extent they feel like they're getting a
piece of the pie. It goes through a lot
of history, much more than just the
industrial revolution. And so that's
shaped a lot of my thinking on some of
the economic questions and the populist
questions. Um, and then finally, uh,
Pria Parker's The Art of Gathering
because I do think that the relational
stuff is going to become a lot more
important. It always was, and I do think
that book has helped me become a better
host.
>> She would be so happy to hear that.
People should go check out our
conversation with Pria Parker. Jasmine
Sun, thank you so much.
>> Thank you so much for having me. This is
fun.
[music]
Ask follow-up questions or revisit key timestamps.
The video discusses the growing public and bipartisan backlash against the construction of massive AI data centers across the United States. Journalist Jasmine Sun explains that this opposition is fueled by the unsightly, industrial nature of these facilities, concerns over energy and water consumption, the use of non-disclosure agreements that alienate local communities, and a broader 'AI populism.' This sentiment reflects a deeper distrust in both government and big tech companies, as local communities feel like they are bearing the costs of a project for which they see no direct benefit, or that is being forced upon them by powerful, unaccountable actors. The discussion also touches upon the existential risks and economic anxieties associated with AI, the competitive 'arms race' mentality that drives these companies to act heedlessly, and the political limitations of Silicon Valley's attempt to use wealth to override democratic processes.
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