Video summary
The United States power grid is currently facing a critical bottleneck caused by the surging demand from AI data centers, an issue that threatens to disrupt both energy supply and the broader chip industry. With approximately 1,200 operating AI facilities in the US—680 of which are massive hyperscale sites comparable to small cities—the electrical infrastructure is already straining under a load equivalent to adding 34 million people annually. This unprecedented demand has pushed the grid beyond its designed failure rate, forcing operators to request that data centers disconnect from the main utility during peak hours and rely on their own internal power sources instead of drawing from the shared network.
To maintain operations without relying solely on the failing public grid, many facilities are turning to behind-the-fence solutions such as natural gas generators, Bloom Energy boxes, or even repurposed jet engines; however, these alternatives face severe supply constraints and long backlogs that could last until 2030. A particularly dangerous phenomenon known as "sympathetic surging" is emerging, where the synchronized power spikes from thousands of chips and cooling systems create a sine wave effect that stresses the grid to its breaking point. When this happens, data centers automatically switch off-grid, causing cascading failures and blackouts across vast regions, effectively killing roughly 50% of planned construction projects due to an inability to secure reliable energy sources.
The most viable solution identified is not new generation capacity but rather a massive upgrade in grid efficiency through the strategic deployment of battery storage systems that act as capacitors to smooth out demand spikes. While traditional lithium-ion batteries pose safety risks near populated areas, emerging technologies like water-based zinc batteries from companies such as EOS Energy Storage offer safer alternatives for public grids. Furthermore, major players are investing heavily in industrial solar farms and home battery adoption to reduce peak load on the utility network, with some hyperscalers already spending billions on proprietary storage solutions to ensure 24/7 uptime independent of external power fluctuations.
Ultimately, this energy crisis will act as a significant filter for the AI industry, where only those entities that have secured long-term natural gas contracts or possess their own self-sustaining generation capabilities—such as Tesla's orbital data center plans and SpaceX initiatives—will survive to dominate terrestrial compute. The current landscape suggests that without immediate advancements in battery technology and grid modernization, token supply growth will stall while costs rise exponentially, leaving smaller players unable to compete with the entrenched "moat" of established hyperscalers who control their own power infrastructure.
Read the full video transcript
This is MXUX. You know, there's a big
issue with power and data centers that
everyone's missing. It's going to affect
the chip trade and everything else. I'm
just going to go through this real quick
slideshow here. The US power grid is
creaking under the weight of AI data
center power demand. I mean, it's crazy.
Um, the grid is already having trouble.
I have a video I'm going to show a clip
from later demonstrating this how uh
surge uh power surges from data centers
are causing
um brownouts or uh grid trips that are
shutting down parts of the grid. Uh this
is happening right now.
Uh all right, here's some stats back of
the napkin. There there are 1,200
operating AI data centers in the US
right now.
about half of them, 680 are hypers scale
sites, these giant, Google,
uh, Amazon sites. They they have the
same power use as a small city. Okay?
And they're always on 24/7, 365 days a
year, running full tilt. Okay? So, this
is what's being let into the grid. All
right? Now, if you If you deduce this
into something that you can
conceptualize,
that's 680 new small cities added to the
grid. Okay? If you go with 50,000 people
per city, that's 34 million people added
to the power demand.
That's about in in a in a period of a
year or two uh an increase uh of uh 10%
in US population making demands on the
power grid. That's crazy.
So these 680
hyperscaler sites [snorts] are equal in
power demand uh to uh 34 million people
and you know that's 10% increase in US
population.
It's in my opinion got the the grid to
the max. The grid has a a failure rate.
It's designed to have one failure every
10 years
and it's already starting to break that
rule.
Um, grid operators are right now asking
data centers to disconnect and use their
on-site power uh at peak demand. And
again, there's a video on this. There's
more than one video on this. You can you
can take a look at this. See, here's the
thing. Our power grid
is a
supply demand function. Okay? It's a
spiderweb of transmission lines and
substations and so forth. There's no
storage of any kind. So what happens is
the electricity is generated and then it
is shifted from region to region and
place to place to meet demand.
But if the overall use exceeds the
overall supply,
there are peaker plants that come on and
stuff, but I'm talking about even having
those fail.
This is this is a problem. Um,
so they're asking these data centers
under peak supply to to go to their own
power supply
and and that's called behind the fence
uh data center. And there's there's two
two types of behind us fence power.
There's uh just emergency power that
that uh powers the data center until the
backup power comes on which is
shortterm. But the long-term
internal data power is
basically based on natural gas. Okay.
The short term can be hydrogen, it can
be diesel generators but the long term
is based on natural gas. Okay. Uh and
and and they're they're talking about
using bloom boxes. Some experts say the
bloom boxes cannot supply the 24/7
uh nature of demand. However, let's just
say they can. So, these are running on
natural gas. Bloom boxes, the turbines,
everyone G Venova, everybody's talking
about they're talking about even
bringing in jet engines, okay? Which run
on jet fuel. That would be a different
thing. uh but also generators. Uh so
uh Colossus uh one has a natural gas
generation plant that was moved from
Europe and reassembled onsite for
example. So they're telling them to get
off the grid. They're telling them to go
to their own power.
They switch to their own power. There's
a little emergency power that takes
place there. Probably some cat diesel
generators. And then their backup supply
kicks in, which I would say right now is
uh G Vernova gas turbines. Okay? And
some of these gas turbines are actually
running this uh business all the way.
Now, here's the thing. In six months,
according to this analysis I I read,
a supply issue with Dometric N domestic
natural gas will begin in in the US and
it will grow continually to 2030.
So the source that they're using
for backup power and internal power at
these sites
is slated
to go up. There's going to be a
shortage. It's going to be like chip
supply. So,
we're looking at hitting a hitting a
wall here with power, okay? And supply.
It's it's more than prices. It's it's
supply. You know, electricity and
natural gas are going to have limited
supplies. Okay? It's going to constrict
the overall growth of the se sector. Um,
I watched an interview with an old
school e grid guy, construction manager
for the grid. He says, "Lack of grid
power will kill 50% of pending
AI SATA centers. I have SA data centers
next year."
50% of planned data centers
are not going to be built next year.
Now, there's still going to be
conversions of bit mining sites and so
forth, and perhaps sites that already
have power allocations
will get made or maybe not. We'll we'll
have to see on that. But he recommends
50% of pending data AI project
construction projects. Okay, let's talk
new new construction
will be killed next year.
So there's 1,600 uh projects are
planned. New construction projects of
data centers are planned next year. Half
of that amount would be 800 data center.
So 800 data centers. So 800 data centers
uh will not
be constructed next year. It will be
cancelled. they will be cancelled due to
a lack of power and that's either uh
natural gas
or grid power. And uh in a minute we're
going to go through what what possibly
um could be done uh about this.
Okay, this is clean view.co
and just to give you some background on
these data centers in the United States,
here's some total numbers and so forth,
here is a map showing the distribution
of the data centers across the country.
As you can see, uh many of the uh
they're moving they're starting the
trend is to move towards these
unpopulated areas. But you can see this
is this is the data center alley largest
operating data centers in the United
States, Colossus 2, which I believe is
self-powered. I do not believe they have
a a utility connection. Byron Childreth,
which is I believe on grid. Riot on
grid. Edgecore Mesa on grid. Colossus
one not on grid. Uh the rest of these
I'm not familiar with. Uh Microsoft
probably certainly is on grid. Uh so the
point is
uh only really Elon Musk has managed to
keep his large data centers off the
grid. This is the plan construction. You
can see
there 900 a gigawatt
is the output of a nuclear power station
nuclear power plant. So,
I am curious about Fermy because Fermy
has a lot going for it except it's so
mired in debt.
Um, anyway, just to give you an idea of
what's going on here.
And then, uh, rules for connecting to
the grid only go so far
if there isn't enough grid. And this is
this is what the old school guy I saw
said.
You know, the grid is is temperamental.
It's tightly balanced. That's why Elon
Musk did an interview was complaining.
You you put an application into connect
to the grid, it takes a year. This he
said, "Yeah, we have to look at every
possible overload situation, how that
power would be granted and so forth."
So, this is not a very robust grid. And
people are talking, well, we need uh,
you know, 10,000 mi or 1,000 miles of
new high transmission lines, high
tension transmission lines. We have the
capability to build about 10 miles a
year. So, there's some real B
bottlenecks.
Uh, this is a cool map. It shows the
real time demands on the grid. It
doesn't necessarily break out uh data
centers, but we got two green spots
here. We got SPA, which looks like it's
in Georgia, and we've got LA is running
well. So,
uh that'll give you an idea of what's
going on.
This is this is a uh this is a tough
problem. Now I have prepared an I'm
going to I'm considering either making
this available on the web or uh adding
it to the description here but power is
the is the is the uh bottleneck. Uh it's
not
chips.
Um
AI demand on the grid since about 2022
has risen fivefold and continues to
rise. Okay.
Um, so alternate sources of power being
sused out to meet demand. Now, Bitcoin
miners are converting to data centers.
This is why Bitcoin is falling everybody
because all these data center uh Bitcoin
miners are selling their stock of
they're getting rid of their Bitcoin to
convert their operations to data
centers. And that is what's keeping the
price of Bitcoin down in my opinion. But
we just go through all this. The the
point here is
all of these alternative sources are
backordered several years. Bloom Energy
has a four-year back backlog.
Um
Elon Musk, he just acquired a mobile gas
and turbine generator company to try to
get around these backlogs. Um so uh AI
data center developers have already
developed prime areas Virginia and so
forth and moving to new corridors that
trace major highways. So they're they
want to be near usage and near 100%
power because they have to be up all the
time. Okay. And they're moving to rust
belt and other places. um
the more remote locations are going to
are are going to make inference demands,
you know, latency demands. You know,
stock might be Wi-Fi, white fiber is one
that comes to mind. So, they're going to
have transmission problems. But when you
look at
uh the most relevant practical AI power
solution
uh and this is this is I just want to
mention this sympathetic surging
modulation.
I was watching an interview with a guy
who was a
program manager for these and he for
data centers and he said they have
something happening that no one
suspected. [snorts] I don't know if
you've ever seen these videos where they
have the metronomes and they all
eventually sync up. You start one and
then the other one and the other one and
and after about you know 20 seconds they
all are going the same way. This is
happening in the data centers.
All the power is surging at at peak use.
All the power is surging through the
chips in a syncopated way. All the
cooling pumps are going in a syncopated
way and it's causing this sine wave.
Okay.
Uh
and it's and it's creating a sine wave
of of power demand. Peak trough. Peak
trough. Peak trough. When if this gets
high enough,
it will uh stress the grid. It'll
disconnect from the grid, the data
center. It'll automatically go on its
power, internal power to maintain power.
When it does that vic disconnect from
the grid, it throws the balance of the
grid off and then the grid has short
circuits all the way through it. So,
this
sympathetic surging is something that
they did not realize was going to
happen.
and it modulates.
And these peaks and valleys are what's
creating these power surges into the
grid and uh causing their backup power
to turn on and and then turn off and
then turn on and then turn off and then
switching on and off the grid. This is
this is the start of this uh this is
completely new discovered issue that was
not recognized during AI data center
construction.
I feel it would become a bigger issue
with the agentic adoption rate
skyrocketing. you know, as the the guy
was saying, this this comes with, you
know, steady peak use. This that's how
this it's like a heartbeat. The system
all synchronizes.
Anyway, I imagine there's a physical
also a physical uh part of this. Okay,
there are this is the these are the
solutions that self-contained behind the
behind the fence uh power boom boom
boxes there's a four-year backlog
hydrogen fuel cells like plug and so
forth it's not mature enough for main
power right now but it's okay for backup
power gas turbines jet engines relocated
power plants
have been used they're all backlisted 3
years, four years, modular nuclear 10
years.
The only practical solution uh is to
increase grid efficiency. Now, here's
the thing. [snorts]
There's there's no capacity to store
energy on the grid. It's completely
supply and demand. Okay? And because in
the past, there were never any good ways
to do this. So the it's created the
energy is created and it's it's
distributed and [snorts] if there's a
excess demand peaker plants uh which are
natural gas plants and other plants come
online to provide more power. [snorts]
What they have to do is introduce
batteries into the grid. Okay, to act as
capacitors. If you know how a stereo
works, when you have a big bass boom,
uh it takes a lot of power and it'll
drain the power out of the amp and the
and the stereo stop working. You have a
capacitor in there which is a fast
discharge battery and when that demand
hits, it drains that capacitor and it
meets the demand and it doesn't crash
the amp. This is what our grid needs.
the grid needs is this is the first
solution
batteries
uh strategically placed batteries. Uh
and I would add
uh that if you look at must uh Colossus
1 and two mega packs mega I think he
spent a billion dollars on mega packs.
This is how he is running that. He is
keeping a steady energy supply. He's
using natural gas and mega and mega pack
battery packs to supply the you know
99999 up uptime 24/7 uptime off-rid.
Okay. So
they have to do this.
There are presently three USA
manufactured batteries for this
application.
Tesla energy.
This This is a sleeper. Elon Musk said,
"Well, I think he just made a comment in
a sight. I think our battery business
could become very significant very soon.
That's where these batteries are going
to come into play." Okay. Inside defense
and outside defense.
Uh EOSE, which uh Nvidia uh Jensen Wang
mentioned. Okay, here's the thing about
EOSE.
Tesla, of course, uses uh lithium
batteries, which are, you know, once
they catch fire, they burn like a
volcano.
EO and they don't want them in near
neighborhoods. They don't want them in
public places, okay? Uh, you know,
industrial centers, so forth, but not at
the substation down the street. EOSE has
water zincbased batteries. Okay, these
are totally safe. They're
environmentally sound. They have no uh
toxics in them, toxic substances in
them. EOSE is I believe going to be a
major player in [snorts] these
neighborhood or
uh other uh public grids these batteries
because uh I don't know they are
water-based I don't know if they'll how
handle subreezing temperatures however
uh in other applications there's no nimi
there's not not there's nothing to
oppose with these things they don't
catch fire if they leak They're they're
harmless.
EOS. And then you have T1 uh energy
which uh Leopold invested in.
They're making they're basically a
startup however, but they're making um
uh industrial
battery supplies. Uh there's other
publicly traded battery companies, but
you know, there's a lot of trouble in
this sector. I'm not going to mention
any of those companies. I would, you
know, I think these three are the main.
So now here's the rub. Manufacturing is
onshoring by Trump policies and it is
and they are building factories. It's
going to double the demands on the grid
over and above the AI. So
uh you know this is just going to stress
the domestic residential power supply as
well as the commercial power supply. So
we we could possibly see mass induction
of uh adoption of home and local
business solar battery imple
implementation to provide peak power to
the grid
and lessen peak demand on the grid. And
this would ensure homeowners and others
of of having a power supply handy. Of
course, you know, the Trump
administration has has changed the
outlook on solar, but this is a reality.
Okay. So,
um this is introducing a capacitor, a
system capacitor in your own home. And
they these also can feed energy back
into the grid as well. And uh I'll just
talk about uh T1 energy again here. Here
now this is interesting.
Corporate filings show that X AI spent
over $1 billion
on Tesla storage megapac battery units
between 24 and mid 26
to support massive AI training. As I
said, Elon has basically got
self-contained
uh gigantic uh data centers, and this
this could be the model
going forward for terrestrial data
centers. But again, massive deployment,
$1 billion $1 billion
worth of batteries involved. So
I mean we have to this this is the
quickest most viable solution
all this nuclear and all this stuff this
is going to take years and u and this is
talking about the old school grid
manager here it's talking about how 50%
of the projects are going to be
cancelled. Uh, look this up. Lowden
County data centers. This
uh is
the uh flickering of the grid caused by
data center demand. Uh
this is a
um
other they're already planning for this.
I'm not going to click on this link
right now. you guys can [snorts] get a I
I'll put this in the description
hopefully and then you can click on the
link there. But [snorts] people are
looking at this and again
according to these heavy duty analysts
natural gas is not going to be any way
out.
Uh all these prices are going to go up
within the next year. They have serious
doubts that natural gas powered balloon
boxes can meet 24-hour 24/7 power
demands of AI. People don't don't think
they can. These experts are saying,
"Yeah, they can handle it, but not the
20 not the demands they're making."
So, what's the result of all this? It's
going to be a slow grid upgrade.
Uh natural gas prices are going to go
up. Power prices are going to go up. Um,
consumers will face rising electric and
gas prices.
Experts recommend homeowners install
solar and battery systems now to cut
future utility bills. I would see that,
too. Uh, this is a great interview. The
natural gas crisis no one sees coming.
Okay. Um, this is about, [laughter]
excuse me, [snorts]
[cough]
[clears throat]
this is about Musk buying the port
turbine company for a billion dollars.
So
anyway, here's the conclusion.
Now, what's all this mean?
Here's what's bullish. Green light.
SpaceX orbital data center. Tesla
obviously get the units out in space and
use solar. Tesla mega packs and home
solar. Absolutely. Okay. Absolutely. Um
EOSE Tesla and T1 battery grid uh grid
battery optimization. Absolutely.
Now
uh there's cubit and a couple other uh
there's d is it dsquare
uh more efficient hybrid uh quantum
processing and processors there they're
putting u quantum uh is playing a you
can now use quantum for part of your
processing the thing is quantum is so
much quicker and it uses less energy in
that extent. uh but you know the um uh
Nvidia chips are going to a 800vt
architecture which is even going to be
more heat more power and it's already
the most one of the most super effic I
mean the main users have super
efficiency in the uh power I mean
cooling maybe is the thing um
industrial grid scale solar power supply
now this is something that is new and
this is something that MA is doing and
Elon Musk is big on it. Uh these guys
are buying
industrial
you know square mileile
large industrial solar panel farms.
Okay. And the and this is one of the
reasons I'm I'm bullish on Tesla
and also uh everybody's discounting
Meta. Meta Meta is building capacity and
now they're buying this solar up. Um
they're doing what uh Amazon did to
create AWS.
It's not readily apparent. I think Meta
is going to come out a winner in the
end. Uh but you can look at these links.
I I'll put this in the in the u uh thing
in theuh description, but
um solar is a big part of this.
Batteries are a big part of this. Okay.
Um and then I have down here AGI, which
I am AGI pill. I think it's going to
emerge or if it hasn't emerged behind
doors already,
you know, can AGI come up with a better
solution? Is there a
fusion or a fision or fusion reactor or
some other solution that we can't think
of that AGI could think of? But anyway,
so here are some companies uh that are
uh interesting. I I mentioned WiFi,
White Fiber. Um, they have a lot of
experience working with Sarabus
and Sarabus has a 40 billion contract,
$40 billion contract with OpenAI
and I think they may end up playing a
big role in this inference
data transmission. That's another
company I mentioned, but certainly
Tesla, certainly SpaceX,
uh, you know, the red light. Okay, now
I'm not giving it financial advice in
any of this. You do your own DD.
Uh, Bitcoin stalls as more miners sell
their Bitcoin to raise cash and convert
to AI data centers. Okay.
I I don't know if I don't know if
Bitcoin is going to recover soon.
Picks and shovels are going to lose 50%
of new domestic construction.
Now, there is international
construction. whether there will be
international constraints on the Nvidia
chips or whatever. But you can see these
data centers are getting bombed in Saudi
Arabia. So there's still an
international market, but I don't think
it's nearly the size of the US market as
well. I think the international market
is China where we are not going to go.
And by the way, China has a modern DC
power grid which
is something we don't have.
So AI compute expansion will be limited
uh without an existing so some of these
places have arranged for grid
connections you know 2 three years ago
if they if they have a an existing grid
connection then they're okay I uh did
has one ke is another one um
But if you don't have a grid and a grid
connection is no guarantee now either.
Uh if you don't have a grid connection
then till new so industrial solar and
grid battery oper optimizations are
engaged you're
out in the cold private private power uh
uh generation [clears throat]
gas diesel turbines are backlog three
plus years bloom boxes are backlogged
four years.
So that means as we have this
constriction increase in demand token
supply growth to terrestrial token
supply growth is going to stall I think
and token cost is going to increase.
Okay. Now they can very you know use
different models and so there could be
breakthroughs in software but in general
supply and demand as you know they're
already at m near max production with
these existing systems
hypers scale data centers that have
long-term power natural gas supply
contracts
and this is Amazon Google
uh Meta
um so forth. Uh
hyperscalers that have
uh long-term power are going to have a
power mode.
Okay. And they are going to dominate
terrestrial compute. So the winners
Microsoft who who just had earnings. Now
they're discounting MA. I I have a
different feeling about MA, but
they got a moat now. This is their moat.
This is why everyone is, you know,
they're playing musical chairs and
somebody's going to get not going to
have a chair and they're not going to
have any power and these guys that have
the chairs that have the power are going
to dominate everything. Okay.
Uh this is this is why I'm so bullish on
Starlink and and Tesla and SpaceX and
the merger and so forth.
Uh orbital AI makes
is going to be the game changer. Okay.
and
Musk is determined to get the project
started in 2028.
Uh, which is going to be perfect timing
with all of this. But it really is,
it doesn't, it sounds so out of control
and crazy, but it is a viable
alternative there. This is this is a big
problem. Power and then I'm just going
to close with this. power power grid
problems are already evident and will
increase exponentially
with mass AI integration.
You can look at the Oracle Oracle is
another one with the building a mode but
you can look at or Oracle's demand. I
mean these these guys that are saying
well AI isn't going to make AI is
already making money.
It is going to be, you know, it's just
like getting the internet. Everybody,
every workplace is going to have,
everybody's going to use it. And the
token demand, the the nature is
old software would scale. You'd make it
once and sell it a thousand times. Okay?
And that's why these companies like
Microsoft made so much money. they got
fixed co, you know, the cost is fixed
that no matter how many units they sell.
With AI,
you have to create the tokens every time
you use it.
So, in other words,
um
there's it's like the power grid. It's
supply and demand. It's a constant flow,
you know. I don't know. Uh I I I
[clears throat] think I heard there was
a firms there's firms starting now that
are going to arbitrage tokens and stuff.
This this may come and so forth. But
anyway, the point is there's a very big
elephant in the room that nobody's
looking at and it's this natural gas and
uh electricity
issue in the United domestically in the
United States and you know with export
restrictions and everything and with the
key demand and key development in the
United States this is something that uh
is critical and you know there's going
to be winners as I mentioned
the hyperscalers that are in place now
I think Tesla XAI
uh the OSC
you can do your own research on this
I'll try to put the text from this
either on my substack
or uh in the description all right this
is MXUX good luck in the market Um
there there's not a lot of news on this
right now, but it's coming.
Okay, this is the uh video.
Uh this is a this is just happened. Uh a
data center tripped a grid. And I'm just
going to play a little bit of this and
then I'm going to mute it and talk over
it. But
okay, this is a guy. He's talking about
monitoring the grid. Uh but the point is
this data center tripped
uh a break not a breaker but it tripped
an alarm with the grid and it sent shock
waves through the entire grid
uh in u the United States actually. It
spiked then dropped before leveling off.
And this is NBC4 News Washington. From
Chicago to Boston, the source, he said,
data center alley. This one event
serving either one building or whatever
the data center was complex is
in Ashurn
impacted the entire region here. This is
the point. This is what's happening with
the data centers. they are
again I mentioned earlier or later with
the modulation that's taking place
uh the the thing is this is going to
start happening more and more all the
time uh will there be a technology to
break through I don't know right now the
grid is the the improvements to the grid
are glacial now this is the failure that
took place it spread. You can see this
is a map that's the dark is the outages
that's that's spread across the entire
country. Okay. And that's from one data
center. Okay. So, uh as I said the
changes in the grid are glacial.
This is going to be a bigger and bigger
problem going forward. It's going to
take time uh to solve the grid problems.
And I don't know, as I said, right now
they're voluntarily asking data centers
during peak use to go onto their own
private p power,
you know, can they do that? Will they do
that? Will they be forced to do that?
You know, anyway, there's a lot of
headwinds with data data centers.
There's nimi,
a lot of uh bands and uh but this is a
real problem. This is an engineering
problem. This is a physics problem. So
anyway, that's a great uh great story.
I'll put a link in the description.