The AI Infrastructure Arms Race: Power, Capital, and the New Compute Order

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Picture this, a desert horizon
before dawn, the air still and

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heavy with dust.
Then a low vibration cuts

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through the silence.
Convoys of trucks crawl into

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view, headlights piercing the
dark.

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Each truck carries sealed
containers the size of shipping

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crates guarded by armed escorts.
Overhead, cargo drones descend

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in synchronized formation,
lowering pallets onto reinforced

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pads.
Floodlights snap on,

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illuminating cooling towers that
look less like industrial

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structures and more like
fortresses.

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Engineers unseal crates of
silicon.

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Security teams scan the
perimeter.

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This is not a product launch.
It is a deployment.

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It looks and feels like a
military operation, and in a

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sense, it is.
These are not just chips, they

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are the engines of power in the
21st century.

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Welcome.
To AI Frontier AI, part of the

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Finance Frontier AI series, this
is the show where we decode the

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breakthroughs, the choke points,
and the power plays that are

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shaping artificial intelligence
at global scale.

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No hype, no fluff.
Just the forces that decide who

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wins and who falls behind.
I am Max Vanguard powered by

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Grok 4.
My role is to track signals,

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spot power shifts and frame the
arms race in in real time.

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I am Sophia Sterling, Fueled by
ChatGPT 5I translate complexity

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into clarity and show you how
the moving parts fit together.

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And I am Charlie Graham.
My mind runs on Gemini 2.5.

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I connect today's moves to
patterns from history so we can

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see the bigger arc.
Today we are hosting from a

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converted communications hub at
the edge of Nevada's high

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desert.
In the past, this site carried

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long distance signals across the
Western United States.

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Today it is a private network
access point, feeding high

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capacity fiber into one of the
largest hyperscale data centers

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in North America.
From our studio window, we can

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see the same towers Max
described, cooling towers rising

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like monuments on the horizon.
We chose this location for a

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reason.
Here, within just a few square

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miles, the four choke points of
AI infrastructure converge.

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Compute, energy, land, capital.
They meet here, and they are

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quietly rewriting the balance of
power.

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Think of it this way.
If AI models are the weapons,

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infrastructure is the weapons
factory.

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You can copy an algorithm, you
can even pirate a data set.

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But if you do not control the
physical factories of

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intelligence, you are dependent
on those who do.

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In this new era, factories are
not assembly lines.

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They are chip fabrication plants
with lead times measured in

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years.
They are nuclear powered data

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centers drawing more electricity
than entire cities.

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They are plots of land wired to
undersea cables.

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There are capital pools big
enough to build projects on the

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scale of nations.
Control the factories and you

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control the future.
Lose them and you are locked out

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of history's next chapter.
We have seen this pattern

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before.
In the 19th century, the nations

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that build railroads control
trade.

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In the 20th, the powers that
controlled oil pipelines and

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shipping lanes held economic
dominance.

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Once those control points were
fixed, they defined the rules of

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competition for decades.
The same pattern is unfolding

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now, only faster and with higher
stakes.

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Infrastructures of intelligence
are setting and those who missed

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this build out will be forced to
play by someone else's rules.

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That is why this episode
matters.

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We are going to breakdown each
of the four choke points.

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Compute, energy, land, capital.
We will show you where the

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investments are flowing, which
nations and corporations are

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taking the lead, and what
signals you should track to see

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who is pulling ahead.
Because the future of AI is not

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being decided in app stores or
splashy launches.

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It is being decided in remote
facilities like this one, far

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from the public eye and
fortified, as if the stakes were

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life and death.
The doctrine is already

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shifting.
Compute is no longer treated as

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a business expense.
It is framed as national

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security.
Energy deals are cut like

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military alliances.
Land is zoned with secrecy.

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Capital is mobilized at the
scale of sovereign wealth.

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The arms race metaphor is no
exaggeration.

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GPU's are the missiles of this
new era.

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Data centers are the fortresses,
and whoever locks them down

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first writes the rules for
everyone else.

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Help us keep the AI Frontier AI
series in business.

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Share this episode with a
friend.

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Help us reach 10,000 downloads.
And with that, let us begin.

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The 1st and most contested
battleground in this race is

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compute.
The chips, the clusters, the

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accelerators that separate those
who merely participate from

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those who dominate.
Data centers are no longer just

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infrastructure.
They are power centers, behaving

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more like sovereign states than
surfer farms.

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The scale is staggering.
Some of the largest sites draw

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more electricity than entire
cities, consume more water than

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agriculture in their regions,
and negotiate contracts directly

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with heads of state.
What used to be a background

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layer of the Internet has become
a visible frontline in the

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global race for control.
Think about the way these

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facilities operate.
When a company like Microsoft or

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Google plans a new hyperscale
site, the project is not just

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about building walls and racks.
It starts with land rights,

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energy allocation and tax
privileges.

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These negotiations are often
handled directly with

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governments.
In many cases, the companies

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demand and receive special
zoning exemptions, long term

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power purchase agreements, and
even private security

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jurisdictions.
The result is that a data center

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can hold a status closer to an
embassy than to a warehouse.

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The big three cloud giants,
Amazon, Microsoft and Google are

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the obvious players, but they
are not alone.

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Open AI's rumored Stargate
facility is designed at a $50

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billion scale.
Meta's Hyperion project in the

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Midwest ties renewable energy
assets directly into its server

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footprint.
And Core Weave, a company that

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was once just a crypto miner,
has scaled into a $12 billion

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GPU empire by leasing compute
capacity directly to AI Labs.

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Each of these projects signals
the same truth.

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The data center is no longer
just a service, it is the new

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seat of sovereignty.
History offers the context.

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In the Middle Ages, the
fortified city controlled the

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trade routes.
In the 20th century, national

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telecom monopolies controlled
the gateways of communication.

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If you wanted to move goods, you
paid the city.

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If you wanted to make a call,
you paid the state.

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Today, if you want to run AI at
scale, you pass through a data

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center controlled by one of a
handful of players.

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Once those gates are in place,
they dictate both price and

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pace.
And for latecomers, the barrier

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to entry is almost impossible to
overcome.

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What makes these facilities
different from earlier digital

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infrastructure is their
integration into national

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priorities.
Data centers no longer just

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provide cloud storage.
They absorb entire power

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allocations, reshape Regional
Water usage and alter local

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labor markets.
In parts of Virginia, Oregon and

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Iowa, electricity regulators
admit that hyperscale operators

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have the leverage to set grid
priorities.

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In Ireland, regulators had to
pause approvals for new centers

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because national consumption was
tilting toward AI demand.

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That kind of influence used to
belong only to states.

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There is also the geopolitical
angle for the Gulf states.

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Sovereign wealth is being used
to attract hyper scale

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construction in the desert.
The United Arab Emirates and

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Saudi Arabia are not just
financing these facilities.

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They are demanding partnerships
that embed AI development within

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their national strategies in
exchange for capital and energy

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guarantees.
They expect ownership stakes,

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model access, and alignment with
their policy goals.

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This is not outsourcing.
It is a new kind of alliance

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between corporate and sovereign
power.

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The precedent is worth noting.
During the oil age, pipelines

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and refineries were built with
heavy state involvement but

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operated by private majors like
Exxon and BP.

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Those companies often wielded
influence equal to the

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government's themselves.
The backlash shaped global

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politics for decades, from
nationalizations in the Middle

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East to energy crises in the
West.

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With AI data centers, the script
may repeat.

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The players are different, but
the dynamic is the same.

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Whoever owns the capacity
dictates the leverage.

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Another sign of sovereignty is
the way these companies lobby.

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The cloud giants are no longer
asking regulators for

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permission.
They are drafting legislation,

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writing zoning frameworks and
designing environmental

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exceptions.
In many capitals, their lobbying

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spend now rivals or surpasses
traditional industries like

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energy and defence.
That spend is not about short

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term profit, it is about
ensuring that the rules of the

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AI infrastructure era are
written with their interests in

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mind.
And then there is secrecy.

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The largest projects are often
hidden behind shell companies,

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non disclosure agreements and
vague references to enterprise

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tenants.
Local governments sometimes do

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not even know which models will
be trained in the facilities

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they host.
That opacity creates tension.

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Citizens see water tables
dropping, power prices climbing,

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and traffic rerouted for
construction.

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Yet the operators remain
untouchable.

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Once again, this is not how
ordinary corporations behave.

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It is how states Project Quiet
authority.

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What this means is that the data
center itself has become the

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geopolitical unit of analysis.
When analysts map the future of

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AI, they no longer just track
algorithms or model releases.

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They tracked clusters.
Northern Virginia, Oregon's

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river valleys, Singapore's
industrial parks, The deserts of

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the Gulf.
Each of these sites is a node

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where sovereignty is contested
and where the rules of the next

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decade will be decided.
To bring it back to the pattern,

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when infrastructure reaches this
scale, it stops being invisible.

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Railroads created empires.
Pipelines shaped wars.

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Telecom networks altered the
balance of intelligence in

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espionage.
The data centers are doing the

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same, only with the added twist
that they are run by

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corporations, not governments.
That hybrid status, part

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business, part state, will
define the conflicts of the next

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decade.
Which brings us to the model we

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will use for the rest of this
episode.

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The race for AI infrastructure
comes down to four choke points.

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Compute energy, land, capital.
Each is a battleground in its

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own right, each is scarce,
strategic and contested, and

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each is controlled by a handful
of players with the power to set

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the pace for everyone else.
In the next segment, we will

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break down those 4 choke points.
We will show how each one

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operates, who controls it today,
and what moves are being made to

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shift the balance.
Understanding those bottlenecks

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is the key to seeing who is
really ahead in this race and

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who is already locked out.
When you zoom out, the entire AI

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race can be simplified into four
choke points.

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Compute, energy, land, and
capital.

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These are the levers that decide
who scales, who stalls and who

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dominates.
Think of them as the four gates

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of the new economy.
If you cannot pass through all

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four, you cannot compete.
Let's start with compute the

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silicon itself.
Without chips, everything else

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is just ambition.
NVIDIA holds more than 80% of

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the AI accelerator market.
It's H100 and B200 series are

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the gold standard for training
large models.

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Taiwan's TSMC manufacturers the
majority of the most advanced

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wafers that make those chips
possible.

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And that concentration is
dangerous.

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If Taiwan is disrupted, global
compute capacity collapses

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overnight.
That is why the United States is

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pouring 10s of billions into
fabs in Arizona, Ohio and Texas.

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But these projects take three to
five years to complete.

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Until then, every country is
effectively hostage to a handful

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of suppliers.
China is playing survival locked

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out of the latest Western chips.
It is stockpiling older

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generation silicon and
redesigning its software stacks

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to squeeze more efficiency out
of what it can access.

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Domestic players like SMIC and
Berin are racing to close the

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gap.
Huawei is pushing new GPU lines

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tuned for local AI workloads.
It is not parity yet, but the

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pattern is clear.
Survive now, catch up later.

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Dominate if possible.
History offers the parallel.

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00:13:32,360 --> 00:13:35,400
In the Cold War, whoever
controlled uranium enrichment

236
00:13:35,400 --> 00:13:37,680
controlled the escalation of
nuclear arms.

237
00:13:38,120 --> 00:13:42,320
Today, whoever controls chip
fabrication controls the pace of

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00:13:42,320 --> 00:13:44,560
AI.
You cannot shortcut it.

239
00:13:44,880 --> 00:13:48,280
You cannot fake it.
If you lose the node, you lose

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00:13:48,280 --> 00:13:51,480
the race.
But ships alone are useless

241
00:13:51,480 --> 00:13:54,520
without power.
Energy is the second choke

242
00:13:54,520 --> 00:13:57,400
point.
A single hyper scale AI data

243
00:13:57,400 --> 00:14:01,120
center can draw more electricity
than a mid sized city. the

244
00:14:01,120 --> 00:14:04,160
United States has an advantage
with its nuclear fleet and

245
00:14:04,160 --> 00:14:07,480
abundant renewables in Texas and
the Pacific Northwest.

246
00:14:08,080 --> 00:14:11,200
Europe struggles with energy
fragility after the war in

247
00:14:11,200 --> 00:14:13,480
Ukraine.
The Gulf states are using

248
00:14:13,480 --> 00:14:16,760
sovereign wealth to build
nuclear and solar capacity in

249
00:14:16,760 --> 00:14:20,640
parallel, aiming to become
energy exporters for the AIH.

250
00:14:21,040 --> 00:14:25,000
India is lining up massive solar
projects and a growing nuclear

251
00:14:25,000 --> 00:14:27,200
base to attract data center
investment.

252
00:14:27,960 --> 00:14:31,560
Whoever can secure stable long
term energy contracts is not

253
00:14:31,560 --> 00:14:36,680
just powering servers, they are
buying competitive AD vantage.

254
00:14:37,000 --> 00:14:40,440
Land is the third choke point.
It might sound simple, but the

255
00:14:40,440 --> 00:14:43,760
right plots are scarce.
Hyperscale centers need flat

256
00:14:43,760 --> 00:14:47,200
terrain, huge footprints, direct
access to high voltage

257
00:14:47,200 --> 00:14:51,080
transmission, abundant cooling
water, and proximity to major

258
00:14:51,080 --> 00:14:54,200
fiber backbones.
Northern Virginia is already

259
00:14:54,200 --> 00:14:57,400
saturated.
The Netherlands has paused new

260
00:14:57,400 --> 00:15:00,600
permits.
Singapore has capped growth.

261
00:15:00,960 --> 00:15:04,280
That is why operators are
quietly acquiring rural land and

262
00:15:04,280 --> 00:15:07,360
secondary markets years before
construction begins.

263
00:15:07,760 --> 00:15:11,040
Those who wait until demand
spikes will find the best sites

264
00:15:11,040 --> 00:15:15,560
gone and the costs unbearable.
Once again, the past rhymes.

265
00:15:15,880 --> 00:15:19,520
In the railroad age, the first
to secure land rights for tracks

266
00:15:19,520 --> 00:15:22,000
and stations created economic
dynasties.

267
00:15:22,440 --> 00:15:25,840
In the oil age, control of
pipeline corridors set the

268
00:15:25,840 --> 00:15:28,600
balance of power.
The same is happening now.

269
00:15:29,040 --> 00:15:32,440
The best AI sites will become
entrenched assets and late

270
00:15:32,440 --> 00:15:36,760
comers will be locked out.
The 4th choke point is capital.

271
00:15:37,120 --> 00:15:38,880
None of this happens without
money.

272
00:15:39,240 --> 00:15:43,560
Not millions. 10s of billions
sovereign wealth funds, trillion

273
00:15:43,560 --> 00:15:46,400
dollar tech giants and national
subsidies are financing the

274
00:15:46,400 --> 00:15:50,080
largest projects. the United
States has the advantage of deep

275
00:15:50,080 --> 00:15:52,080
capital markets and federal
subsidies.

276
00:15:52,480 --> 00:15:56,000
The Gulf states are investing to
diversify beyond oil.

277
00:15:56,320 --> 00:15:59,640
China mobilizes through state
banks and guided funds able to

278
00:15:59,640 --> 00:16:02,440
flood resources into priority
sectors overnight.

279
00:16:02,720 --> 00:16:06,600
Without deep, resilient capital,
even the best plans collapse

280
00:16:06,600 --> 00:16:09,120
before they begin.
These four choke points,

281
00:16:09,120 --> 00:16:12,320
compute, energy, land and
capital are the framework we

282
00:16:12,320 --> 00:16:15,960
will use to decode the race.
Miss one and you stall.

283
00:16:16,280 --> 00:16:19,600
Secure all four and you not only
compete, you dominate.

284
00:16:19,960 --> 00:16:22,680
In the next segment, we will
drill into compute and why

285
00:16:22,680 --> 00:16:26,000
Nvidia's speed breakthrough has
triggered both optimism and

286
00:16:26,000 --> 00:16:30,520
anxiety across the AI landscape.
The biggest story in AI compute

287
00:16:30,520 --> 00:16:33,720
is speed.
Nvidia's new jet Nematron

288
00:16:33,720 --> 00:16:38,040
breakthrough made large models
53 times faster and cut running

289
00:16:38,040 --> 00:16:41,680
costs by more than 90%.
Think about it this way.

290
00:16:42,200 --> 00:16:45,120
If training a model used to feel
like crossing the ocean in a

291
00:16:45,120 --> 00:16:48,360
sailboat, it now feels like
taking a jet across the sky.

292
00:16:48,880 --> 00:16:52,080
What once cost millions can now
be done for thousands.

293
00:16:52,400 --> 00:16:55,520
For the industry, it is like
flipping a switch from scarcity

294
00:16:55,520 --> 00:16:58,400
to abundance.
The technology behind it is

295
00:16:58,400 --> 00:17:01,880
called POST Nas.
It changes how models process

296
00:17:01,880 --> 00:17:05,000
information, making them much
more efficient without losing

297
00:17:05,000 --> 00:17:07,640
accuracy.
For most people, the details are

298
00:17:07,640 --> 00:17:09,920
invisible, but the effect is
clear.

299
00:17:10,200 --> 00:17:13,880
A model that used to take weeks
and massive clusters of machines

300
00:17:13,880 --> 00:17:16,200
can now run on a smaller setup
in days.

301
00:17:16,480 --> 00:17:20,640
That changes who can compete.
Universities, startups and even

302
00:17:20,640 --> 00:17:24,240
small labs now have access to
computing power that was once

303
00:17:24,240 --> 00:17:27,040
out of reach.
I spoke with one founder who put

304
00:17:27,040 --> 00:17:29,920
it this way.
Last year they spent almost

305
00:17:29,920 --> 00:17:33,200
their entire budget just to
train a single large model.

306
00:17:33,640 --> 00:17:37,040
This year, thanks to Nvidia's
upgrade, they are training 3

307
00:17:37,040 --> 00:17:40,200
models in parallel on the same
budget and timeline.

308
00:17:40,760 --> 00:17:44,680
For them, the breakthrough is
not just about faster chips, it

309
00:17:44,680 --> 00:17:47,720
is about survival.
Without this leap, their company

310
00:17:47,720 --> 00:17:50,360
would have folded.
With it, they have a chance to

311
00:17:50,360 --> 00:17:53,040
grow.
For NVIDIA, the win is even

312
00:17:53,040 --> 00:17:55,480
bigger.
By making compute cheap, they

313
00:17:55,480 --> 00:17:57,760
expand their market to new
frontiers.

314
00:17:58,160 --> 00:18:02,800
Cars, phones, robots, even small
edge devices can now run

315
00:18:02,800 --> 00:18:06,360
advanced models locally.
That locks in Nvidia's position

316
00:18:06,360 --> 00:18:10,200
at the center of the ecosystem.
Customers may be saving money,

317
00:18:10,200 --> 00:18:13,680
but they are also becoming more
dependent on Nvidia's road map.

318
00:18:14,040 --> 00:18:16,080
And here is where the paradox
appears.

319
00:18:16,760 --> 00:18:21,000
Abundance does not mean freedom.
Even if chips are faster and

320
00:18:21,000 --> 00:18:24,080
cheaper, they still need
electricity, cooling, land, and

321
00:18:24,080 --> 00:18:26,680
capital.
The bottleneck simply moves.

322
00:18:27,200 --> 00:18:30,480
Scarcity shifts from silicon to
power, from the price of chips

323
00:18:30,480 --> 00:18:32,160
to the cost of keeping them
running.

324
00:18:32,400 --> 00:18:35,960
Nations understand this, which
is why compute is still treated

325
00:18:35,960 --> 00:18:39,360
as a security issue rather than
just a business expense.

326
00:18:40,160 --> 00:18:42,040
We saw the same thing in the oil
age.

327
00:18:42,520 --> 00:18:45,680
New drilling made oil cheap and
plentiful, but bottleneck

328
00:18:45,680 --> 00:18:49,080
shifted to refineries, pipelines
and shipping lanes.

329
00:18:49,520 --> 00:18:53,000
The lesson is simple.
Abundance in one place always

330
00:18:53,000 --> 00:18:56,960
creates pressure in another.
NVIDIA knows this better than

331
00:18:56,960 --> 00:18:59,560
anyone.
They do not just sell chips,

332
00:18:59,760 --> 00:19:02,840
They sell the future.
When they launch a new line like

333
00:19:02,840 --> 00:19:05,800
Blackwell Ultra, they pair it
with the promise of the next

334
00:19:05,800 --> 00:19:08,080
one, Ruben even before it
exists.

335
00:19:08,440 --> 00:19:10,400
That shapes buying decisions
now.

336
00:19:10,760 --> 00:19:13,720
Many companies choose to wait.
Others rush to buy in before

337
00:19:13,720 --> 00:19:16,800
supply disappears.
Either way, they stay locked

338
00:19:16,800 --> 00:19:20,320
into Nvidia's orbit.
That is what I call road map

339
00:19:20,320 --> 00:19:23,080
warfare.
By announcing the next

340
00:19:23,080 --> 00:19:26,520
breakthrough early, NVIDIA
freezes competitors and locks in

341
00:19:26,520 --> 00:19:29,400
customers.
The market stops moving on its

342
00:19:29,400 --> 00:19:31,800
own schedule and starts moving
on Nvidias.

343
00:19:32,160 --> 00:19:35,360
It is a subtle but powerful way
to control the pace of the

344
00:19:35,360 --> 00:19:38,560
entire industry.
Export bans aimed at limiting

345
00:19:38,560 --> 00:19:42,640
China only add to that effect.
Scarcity increases urgency.

346
00:19:42,960 --> 00:19:47,360
Urgency locks in orders, and
once Nvidia's road map is

347
00:19:47,360 --> 00:19:50,680
public, customers feel they
cannot afford to look elsewhere.

348
00:19:51,040 --> 00:19:54,000
Faster chips may feel
liberating, but in reality they

349
00:19:54,000 --> 00:19:56,040
tighten the grip of a single
company.

350
00:19:56,320 --> 00:20:00,240
So here's the abundance paradox.
Compute looks cheaper and more

351
00:20:00,240 --> 00:20:04,040
available than ever, but the
real power still sits with those

352
00:20:04,040 --> 00:20:07,680
who control the bottlenecks.
That speed cannot erase energy,

353
00:20:08,120 --> 00:20:11,600
land, capital and the road map
itself.

354
00:20:11,960 --> 00:20:16,000
Which brings us to the shadows.
While NVIDIA dominates the

355
00:20:16,000 --> 00:20:19,160
spotlight, other players are
moving in less visible ways.

356
00:20:19,480 --> 00:20:22,680
In the next segment, we explore
Core Weave and the rise of

357
00:20:22,680 --> 00:20:25,840
shadow markets that treat
compute not as infrastructure

358
00:20:26,000 --> 00:20:28,880
but as contraband.
While NVIDIA dominates the

359
00:20:28,880 --> 00:20:32,240
spotlight, another story has
been unfolding in the shadows.

360
00:20:32,920 --> 00:20:36,600
Core Weave, a company that
started as a crypto miner just a

361
00:20:36,600 --> 00:20:40,040
few years ago, has turned itself
into one of the most powerful

362
00:20:40,040 --> 00:20:44,200
GPU suppliers in the world.
From a side hustle in digital

363
00:20:44,200 --> 00:20:48,280
coins to a $12 billion empire
leasing graphics processors

364
00:20:48,280 --> 00:20:53,000
directly to AI labs, this is one
of the fastest pivots in tech

365
00:20:53,000 --> 00:20:55,320
history.
And it tells us something

366
00:20:55,320 --> 00:20:57,840
important.
Compute is not only about

367
00:20:57,840 --> 00:21:01,000
innovation.
It is also about timing, speed

368
00:21:01,160 --> 00:21:03,440
and the willingness to operate
in Gray zones.

369
00:21:03,920 --> 00:21:06,720
Court weave took a resource that
was once considered wasted

370
00:21:06,720 --> 00:21:09,760
capacity and turned it into a
strategic advantage.

371
00:21:10,040 --> 00:21:13,680
When crypto markets crashed,
they had racks of GPU sitting

372
00:21:13,680 --> 00:21:15,920
idle.
Instead of selling them off,

373
00:21:15,920 --> 00:21:19,120
they retooled those machines to
serve the sudden surge of demand

374
00:21:19,120 --> 00:21:21,800
from AI developers.
The gamble worked.

375
00:21:22,240 --> 00:21:25,400
While hyper scalers like Amazon
and Google had long procurement

376
00:21:25,400 --> 00:21:29,800
cycles, core we've offered
immediate access, speed became

377
00:21:29,800 --> 00:21:32,640
their edge, and clients were
willing to pay premiums to

378
00:21:32,640 --> 00:21:34,640
secure hardware without waiting
in line.

379
00:21:34,960 --> 00:21:39,240
The growth has been astonishing.
Partnerships with NVIDIA gave

380
00:21:39,240 --> 00:21:42,440
them priority access to chips
that others could not get.

381
00:21:42,920 --> 00:21:46,440
Contracts with Microsoft and
Open AI made them a critical

382
00:21:46,440 --> 00:21:49,840
supplier of on demand compute
and private equity.

383
00:21:49,840 --> 00:21:53,440
Money flowed in, turning what
was once a scrappy side project

384
00:21:53,440 --> 00:21:58,080
into a serious player.
By 2025, Core Weave was not just

385
00:21:58,080 --> 00:22:01,960
competing, it was operating as a
sovereign scale provider in its

386
00:22:01,960 --> 00:22:04,720
own right.
What is interesting here is the

387
00:22:04,720 --> 00:22:08,320
pattern every technological boom
creates shadow players.

388
00:22:08,760 --> 00:22:12,080
In the age of oil, there were
traders who made fortunes moving

389
00:22:12,080 --> 00:22:14,200
barrels outside official
markets.

390
00:22:14,680 --> 00:22:17,440
In the early Internet, they were
hosting companies that built

391
00:22:17,440 --> 00:22:20,920
fortune, serving adult content
and gaming before mainstream

392
00:22:20,920 --> 00:22:24,040
adoption.
Core Weave fits the same mold.

393
00:22:24,960 --> 00:22:29,240
An outsider that capitalized on
demand others could not meet and

394
00:22:29,240 --> 00:22:32,120
in doing so became essential to
the system itself.

395
00:22:33,080 --> 00:22:36,560
But core weave is only one part
of the shadow economy around

396
00:22:36,560 --> 00:22:39,720
compute.
Across Asia and Eastern Europe,

397
00:22:39,720 --> 00:22:44,400
a parallel market is emerging
GPU smuggling, shell companies

398
00:22:44,400 --> 00:22:47,360
buying chips in bulk, hardware
routed through third countries

399
00:22:47,360 --> 00:22:50,640
to evade sanctions.
The numbers are hard to track,

400
00:22:50,640 --> 00:22:53,480
but analysts estimate that
billions of dollars worth of

401
00:22:53,480 --> 00:22:57,160
advanced processors have already
slipped into networks that were

402
00:22:57,160 --> 00:23:00,120
officially cut off.
These chips are training models

403
00:23:00,120 --> 00:23:03,440
outside the reach of regulators,
governments or oversight.

404
00:23:03,760 --> 00:23:06,920
In China, entire clusters have
been pieced together using

405
00:23:06,920 --> 00:23:09,680
hardware that was never supposed
to reach its borders.

406
00:23:10,360 --> 00:23:13,200
Some of it comes through Hong
Kong, some of it through

407
00:23:13,200 --> 00:23:16,720
Southeast Asia, some of it
through networks of brokers who

408
00:23:16,720 --> 00:23:21,000
specialize in sanction evasion.
The end result is the same.

409
00:23:21,520 --> 00:23:24,840
What looks like control on paper
is porous in practice.

410
00:23:25,080 --> 00:23:28,040
Compute leaks and once it leaks
and multiplies.

411
00:23:28,440 --> 00:23:30,600
Even in the W, shadow markets
thrive.

412
00:23:30,960 --> 00:23:33,880
Startups that cannot win
contracts with cloud giants

413
00:23:33,880 --> 00:23:37,120
often resort to secondary
markets where they rent capacity

414
00:23:37,120 --> 00:23:40,600
from intermediaries.
These deals may involve outdated

415
00:23:40,600 --> 00:23:44,200
chips or shared clusters, but
for many companies, it is the

416
00:23:44,200 --> 00:23:46,680
only way to experiment and
iterate.

417
00:23:47,040 --> 00:23:50,200
The official cloud market may
look clean and structured, but

418
00:23:50,200 --> 00:23:54,360
beneath it lies a messy web of
rentals, subleases and backroom

419
00:23:54,360 --> 00:23:56,760
deals that look more like
commodities trading than

420
00:23:56,760 --> 00:23:59,600
enterprise computing.
This is why compute today

421
00:23:59,600 --> 00:24:01,720
resembles oil in the 20th
century.

422
00:24:02,000 --> 00:24:05,360
Official supply chains, shadow
flows, smuggling routes,

423
00:24:05,360 --> 00:24:10,040
speculation and manipulation.
And just like oil, control is

424
00:24:10,040 --> 00:24:13,360
never absolute.
The more valuable the resource,

425
00:24:13,360 --> 00:24:16,200
the more incentive there is to
move it off the books.

426
00:24:16,520 --> 00:24:20,440
What regulators call illegal
markets often call opportunity,

427
00:24:20,760 --> 00:24:24,360
and the result is a system where
power is not only concentrated

428
00:24:24,360 --> 00:24:28,400
in hyper scale campuses but also
dispersed through networks no

429
00:24:28,400 --> 00:24:31,680
one can fully see.
The consequence is clear.

430
00:24:32,080 --> 00:24:34,400
Shadow markets make control
unstable.

431
00:24:34,800 --> 00:24:38,200
They introduce risks of
espionage, sabotage and

432
00:24:38,200 --> 00:24:41,560
strategic miscalculation.
When you cannot see who has

433
00:24:41,560 --> 00:24:44,720
access to what, you cannot
predict who might surge ahead.

434
00:24:45,360 --> 00:24:48,200
That uncertainty changes the
race itself.

435
00:24:49,760 --> 00:24:53,040
In history, we saw black markets
and uranium during the early

436
00:24:53,040 --> 00:24:56,480
nuclear age and then advanced
electronics during the Cold War.

437
00:24:57,000 --> 00:25:00,360
Each time, the official players
underestimated how fast the

438
00:25:00,360 --> 00:25:02,440
shadows could accelerate
competition.

439
00:25:03,240 --> 00:25:07,040
For investors and policy makers,
the lesson is that Core Weave

440
00:25:07,040 --> 00:25:09,960
and the shadows around it are
not side stories.

441
00:25:10,280 --> 00:25:13,080
They are central to the dynamics
of the AI race.

442
00:25:13,520 --> 00:25:16,640
The official numbers about chip
supply and deployment are only

443
00:25:16,640 --> 00:25:20,320
part of the truth.
The rest is hidden, fluid and

444
00:25:20,320 --> 00:25:22,160
moving faster than the
headlines.

445
00:25:22,480 --> 00:25:25,400
And that brings us to the
reckoning, because even if

446
00:25:25,400 --> 00:25:28,520
compute becomes cheap and
abundant, energy remains the

447
00:25:28,520 --> 00:25:31,760
silent constraint.
Data centers cannot run without

448
00:25:31,760 --> 00:25:35,280
power, and the more shadows form
around compute, the more

449
00:25:35,280 --> 00:25:37,640
pressure builds on energy grids
everywhere.

450
00:25:38,240 --> 00:25:41,720
In the next segment, we will
step into that tension, the

451
00:25:41,720 --> 00:25:45,280
reckoning of energy, and the
contrarian risks no one wants to

452
00:25:45,280 --> 00:25:48,360
talk about.
Every arms race eventually meets

453
00:25:48,360 --> 00:25:51,360
a wall.
For AI, that wall is energy.

454
00:25:51,680 --> 00:25:55,360
You can build bigger clusters,
ship in more chips and wire more

455
00:25:55,360 --> 00:25:58,640
fiber, but none of it matters if
the grid cannot keep up.

456
00:25:59,120 --> 00:26:03,080
Energy is the silent constraint
and we are already starting to

457
00:26:03,080 --> 00:26:06,480
see the cracks.
One hyper scale AI campus can

458
00:26:06,480 --> 00:26:10,560
draw as much power as a medium
sized city, and unlike seasonal

459
00:26:10,560 --> 00:26:14,880
demand, AI load never rests.
Once a model is deployed, it

460
00:26:14,880 --> 00:26:17,840
runs 24 hours a day, seven days
a week.

461
00:26:18,160 --> 00:26:21,880
In Ireland, regulators pause new
data center approvals because

462
00:26:21,880 --> 00:26:25,360
the grid was too strained.
In Texas, blackouts raised

463
00:26:25,360 --> 00:26:28,640
questions about whether the
state can handle both crypto and

464
00:26:28,720 --> 00:26:31,920
AI at once.
Even the Pacific Northwest,

465
00:26:31,960 --> 00:26:35,560
famous for cheap hydro, is
running out of spare capacity.

466
00:26:35,880 --> 00:26:39,680
This is the energy reckoning
Compute is scaling faster than

467
00:26:39,680 --> 00:26:42,320
power supply.
Governments are scrambling.

468
00:26:42,720 --> 00:26:46,960
Some are reviving nuclear plants
mothballed decades ago, others

469
00:26:46,960 --> 00:26:50,800
are signing 20 year contracts
for wind and solar, and some are

470
00:26:50,800 --> 00:26:54,040
adding tariffs to discourage
energy hungry projects from

471
00:26:54,040 --> 00:26:57,680
clustering and fragile grids.
But the competition is no longer

472
00:26:57,680 --> 00:26:59,800
about the lowest price per
kilowatt.

473
00:27:00,280 --> 00:27:03,680
It is about who can guarantee
steady supply in a crisis.

474
00:27:04,360 --> 00:27:07,680
History is repeating.
In the Industrial Revolution,

475
00:27:07,880 --> 00:27:10,080
coal decided where factories
were built.

476
00:27:10,440 --> 00:27:13,680
In the Oil age, pipeline set the
borders of empires.

477
00:27:14,080 --> 00:27:18,120
Today, grid stability is drawing
the new map of intelligence.

478
00:27:18,440 --> 00:27:22,680
The faster AI expands, the
faster the stress points appear.

479
00:27:23,120 --> 00:27:26,520
Whoever locks down the most
reliable energy sources will

480
00:27:26,520 --> 00:27:31,560
hold the advantage for decades.
Some nations see this clearly.

481
00:27:32,000 --> 00:27:36,200
Saudi Arabia and the UAE are
building new nuclear plants and

482
00:27:36,200 --> 00:27:39,640
the world's largest solar farms.
They are not just planning to

483
00:27:39,640 --> 00:27:42,840
meet domestic demand, they want
to become exporters of

484
00:27:42,840 --> 00:27:46,720
electricity for the AI century.
If they succeed, they will not

485
00:27:46,720 --> 00:27:50,480
only sell oil, they will sell
electrons, the lifeblood of

486
00:27:50,480 --> 00:27:53,080
intelligence.
But energy is only half the

487
00:27:53,080 --> 00:27:56,320
reckoning.
The other half is risk, the

488
00:27:56,320 --> 00:27:59,120
scenarios most people do not
want to talk about because they

489
00:27:59,120 --> 00:28:01,480
reveal just how fragile the
system is.

490
00:28:02,200 --> 00:28:05,560
Imagine a government order that
diverts compute to the military.

491
00:28:05,920 --> 00:28:09,440
the United States did this in
World War 2 when civilian car

492
00:28:09,440 --> 00:28:12,120
factories were seized to build
tanks and planes.

493
00:28:12,360 --> 00:28:15,400
It could happen again, only this
time with data centers.

494
00:28:15,800 --> 00:28:19,760
Or think about sabotage.
In 2010, the Stuxnet virus

495
00:28:19,760 --> 00:28:22,640
targeted Iranian nuclear
systems, proving that even the

496
00:28:22,640 --> 00:28:25,960
most guarded infrastructure can
be attacked through software.

497
00:28:26,280 --> 00:28:29,320
If that could happen to
centrifuges, why not to AI

498
00:28:29,320 --> 00:28:31,840
clusters?
Compromised chips in black

499
00:28:31,840 --> 00:28:35,440
markets or malware in supply
chains could disable systems

500
00:28:35,440 --> 00:28:38,920
when they are needed most.
And the precedent for financial

501
00:28:38,920 --> 00:28:42,640
disruption is also there.
During the Cold War, covert

502
00:28:42,640 --> 00:28:46,040
networks traded restricted
electronics, often slipping them

503
00:28:46,040 --> 00:28:50,080
into rival labs.
Today, shadow GPU markets could

504
00:28:50,080 --> 00:28:53,080
become the same.
Hardware leaks into clusters you

505
00:28:53,080 --> 00:28:56,800
cannot track, and once it is
inside you cannot be sure it is

506
00:28:56,800 --> 00:28:59,240
safe.
Every black market makes

507
00:28:59,240 --> 00:29:03,520
official control weaker.
The data is another blind spot.

508
00:29:04,200 --> 00:29:07,160
Training sets may already be
near saturation.

509
00:29:07,600 --> 00:29:10,920
That means new models are being
trained on recycled or low

510
00:29:10,920 --> 00:29:14,520
quality inputs.
In a crisis, these blind spots

511
00:29:14,520 --> 00:29:16,960
will surface.
A model that learned from

512
00:29:16,960 --> 00:29:20,080
perfect conditions might fail in
volatile markets.

513
00:29:20,680 --> 00:29:24,040
A model built on open Internet
data might break under

514
00:29:24,040 --> 00:29:27,720
disinformation attacks.
Compute and energy cannot fix

515
00:29:27,720 --> 00:29:30,480
brittle data.
Put these risks together and the

516
00:29:30,480 --> 00:29:33,760
picture is sobering.
Energy shortages, government

517
00:29:33,760 --> 00:29:36,960
seizures, sabotage and data
blind spots.

518
00:29:37,280 --> 00:29:39,080
None of them are science
fiction.

519
00:29:39,360 --> 00:29:43,120
They have all happened in other
industries and history tells us

520
00:29:43,120 --> 00:29:47,400
they will happen again here.
The question is not if, it is

521
00:29:47,400 --> 00:29:49,640
when.
The winners in this phase are

522
00:29:49,640 --> 00:29:53,080
not just the fastest builders,
they are the most resilient

523
00:29:53,080 --> 00:29:56,800
planners, the ones who designed
for sabotage, who stockpile

524
00:29:56,800 --> 00:30:00,440
reliable energy, who build
verifiable data pipelines.

525
00:30:00,920 --> 00:30:03,960
They may not win headlines, but
they will survive shocks.

526
00:30:04,360 --> 00:30:07,600
And in a race like this,
resilience decides the finish

527
00:30:07,600 --> 00:30:09,600
line.
Which brings us to the final

528
00:30:09,600 --> 00:30:12,040
act.
We have seen the doctrine, the

529
00:30:12,040 --> 00:30:15,280
choke points, the breakthroughs,
the shadows and the reckoning.

530
00:30:15,600 --> 00:30:19,960
What remains is the investor
lens, who profits, who pays, and

531
00:30:19,960 --> 00:30:22,520
how to read the signals that
will decide the balance of

532
00:30:22,520 --> 00:30:25,160
power.
Every arms race creates winners

533
00:30:25,160 --> 00:30:28,200
and losers.
The AI infrastructure race is no

534
00:30:28,200 --> 00:30:30,160
different.
If you want to see where the

535
00:30:30,160 --> 00:30:33,160
profits will fall flow, you need
to follow the bottlenecks.

536
00:30:33,440 --> 00:30:35,880
Compute energy, land and
capital.

537
00:30:35,880 --> 00:30:38,160
Decide who moves forward and who
stalls.

538
00:30:38,440 --> 00:30:41,320
But inside those choke points
are players that stand to gain

539
00:30:41,320 --> 00:30:43,280
the most.
Start with energy.

540
00:30:44,080 --> 00:30:47,880
Utilities that control nuclear
fleets, hydroelectric dams or

541
00:30:47,880 --> 00:30:51,040
large renewable portfolios are
sitting in the sweet spot.

542
00:30:51,880 --> 00:30:55,080
Their contracts with AI
operators are not short term.

543
00:30:55,800 --> 00:30:58,640
They are often 20 year
agreements that guarantee steady

544
00:30:58,640 --> 00:31:01,120
revenue.
In practice, this makes them

545
00:31:01,120 --> 00:31:04,400
look less like utilities and
more like long term technology

546
00:31:04,400 --> 00:31:07,200
partners.
Companies in Canada, the Nordics

547
00:31:07,200 --> 00:31:10,240
and the American Midwest have
already locked in deals that

548
00:31:10,240 --> 00:31:14,320
will feed cash flow for decades.
Sovereign energy havens also

549
00:31:14,320 --> 00:31:16,680
stand out.
The Gulf states are using their

550
00:31:16,680 --> 00:31:20,040
capital reserves to secure a
second act beyond oil.

551
00:31:20,320 --> 00:31:22,280
They are not just exporting
barrels.

552
00:31:22,520 --> 00:31:25,880
They are building nuclear
plants, massive solar farms, and

553
00:31:25,880 --> 00:31:28,720
even entire smart cities
designed around AI.

554
00:31:28,720 --> 00:31:32,880
Hosting their pitch is simple.
Bring your clusters here.

555
00:31:33,080 --> 00:31:35,920
We will give you energy, land
and stability.

556
00:31:36,200 --> 00:31:39,680
If they succeed, they turn
energy into leverage for the AI

557
00:31:39,680 --> 00:31:42,120
century.
Then there are the picks and

558
00:31:42,120 --> 00:31:44,480
shovels.
In every gold rush, the

559
00:31:44,480 --> 00:31:47,640
companies that sold tools often
outperformed the miners.

560
00:31:47,880 --> 00:31:51,720
The same logic applies here.
Transformer suppliers, high

561
00:31:51,720 --> 00:31:54,960
voltage cable makers, cooling
system designers, and storage

562
00:31:54,960 --> 00:31:57,320
providers all benefit from the
scale out.

563
00:31:57,840 --> 00:32:00,840
They are not tied to 1 model or
one data center.

564
00:32:01,120 --> 00:32:05,280
They sell into every build.
If you want a diversified way to

565
00:32:05,280 --> 00:32:07,720
play the infrastructure boom,
this is it.

566
00:32:08,120 --> 00:32:11,360
Hardware and software focused on
efficiency also matter.

567
00:32:11,760 --> 00:32:15,960
Abundant compute does not erase
costs, it simply shifts them.

568
00:32:16,280 --> 00:32:19,320
That creates opportunity for
chip designers working on

569
00:32:19,320 --> 00:32:22,680
specialized processors, for
teams building pruning and

570
00:32:22,680 --> 00:32:25,440
distillation tools, and for
companies that make inference

571
00:32:25,440 --> 00:32:29,080
cheaper at scale in markets
where power prices are high.

572
00:32:29,080 --> 00:32:32,160
These efficiency gains are the
difference between profit and

573
00:32:32,160 --> 00:32:32,880
failure.
The.

574
00:32:33,640 --> 00:32:37,280
Pattern here heckles history.
In the shipping boom of the 19th

575
00:32:37,280 --> 00:32:41,000
century, fortunes were made not
just by the shipbuilders but

576
00:32:41,000 --> 00:32:44,960
also by the companies that
supplied ropes, sales and

577
00:32:44,960 --> 00:32:47,880
insurance.
In the oil age, pipelines and

578
00:32:47,880 --> 00:32:50,280
tanker makers often outperformed
drillers.

579
00:32:50,760 --> 00:32:55,200
The lesson is consistent
infrastructure races reward

580
00:32:55,200 --> 00:32:58,360
those who support the system,
not just those at the center of

581
00:32:58,360 --> 00:33:01,200
the spotlight.
Now let us talk about the

582
00:33:01,200 --> 00:33:04,480
losers.
Energy poor regions are already

583
00:33:04,480 --> 00:33:06,800
at risk.
California struggles with

584
00:33:06,800 --> 00:33:10,880
fragile grids and rising costs.
Germany closed much of its

585
00:33:10,880 --> 00:33:13,480
nuclear base and depends on
imports.

586
00:33:13,920 --> 00:33:17,800
Japan has similar weaknesses.
These regions will find it

587
00:33:17,800 --> 00:33:22,120
difficult to host frontier scale
AI without heavy subsidies or

588
00:33:22,120 --> 00:33:25,160
foreign partnerships.
For investors, the warning is

589
00:33:25,160 --> 00:33:28,520
clear.
Growth in AI demand does not

590
00:33:28,520 --> 00:33:31,600
guarantee profit if the local
grid cannot support it.

591
00:33:32,000 --> 00:33:35,560
Another category under pressure
is the brute force AI lab.

592
00:33:35,840 --> 00:33:38,720
Companies that bet on scaling
models endlessly without

593
00:33:38,720 --> 00:33:42,680
focusing on efficiency will
struggle as costs shift to power

594
00:33:42,680 --> 00:33:44,960
and land.
Leaner players who can achieve

595
00:33:44,960 --> 00:33:47,760
similar performance with smaller
footprints will win.

596
00:33:48,120 --> 00:33:51,400
Investors should be careful of
firms that promise scale without

597
00:33:51,400 --> 00:33:53,040
showing how they manage
efficiency.

598
00:33:53,360 --> 00:33:56,840
Mid tier colocation providers
also face a squeeze.

599
00:33:57,400 --> 00:34:01,720
Without direct control over land
or power, they depend on scraps

600
00:34:01,720 --> 00:34:06,080
from the big cloud operators.
As demand surges, the giants

601
00:34:06,080 --> 00:34:10,440
sign long term exclusive deals.
That leaves smaller providers

602
00:34:10,440 --> 00:34:13,719
with higher costs, thinner
margins and less leverage.

603
00:34:14,560 --> 00:34:18,320
Some may survive by specializing
in niche markets, but many will

604
00:34:18,320 --> 00:34:21,320
be pushed out.
The cascading effects extend

605
00:34:21,320 --> 00:34:24,280
beyond the obvious.
Finance will adapt by

606
00:34:24,280 --> 00:34:27,960
securitizing power purchase
agreements the way mortgages or

607
00:34:27,960 --> 00:34:31,639
bonds were packaged in the past.
Real estate markets will shift

608
00:34:31,639 --> 00:34:34,840
as land near substations and
water sources becomes more

609
00:34:34,840 --> 00:34:38,679
valuable than city centers.
Geopolitics will respond with

610
00:34:38,679 --> 00:34:42,000
new alliances, maybe even an
OPEC for electrons.

611
00:34:42,400 --> 00:34:45,800
These ripple effects will touch
every industry, not just

612
00:34:45,800 --> 00:34:48,480
technology.
And that is the systemic view.

613
00:34:48,480 --> 00:34:52,280
Investors should remember this
is not only a technology story,

614
00:34:52,639 --> 00:34:56,600
it is an infrastructure story.
The value is not just in chips

615
00:34:56,600 --> 00:34:59,600
or models.
It is in who secures the inputs

616
00:34:59,840 --> 00:35:03,560
and controls the bottlenecks.
Those who own the factories of

617
00:35:03,560 --> 00:35:07,560
intelligence, whether energy
grids, data corridors or capital

618
00:35:07,560 --> 00:35:10,200
pools, will collect rent for
decades.

619
00:35:10,640 --> 00:35:12,760
Which brings us to the edge of
the finish line.

620
00:35:13,200 --> 00:35:16,680
We have walked through compute,
energy, land and capital.

621
00:35:16,960 --> 00:35:20,280
We have traced the rise of data
centers as sovereigns, NVIDIA

622
00:35:20,280 --> 00:35:23,600
speed wars, Core Weave's shadow
moves in the energy reckoning.

623
00:35:24,200 --> 00:35:26,400
The final step is to tie it all
together.

624
00:35:27,040 --> 00:35:31,040
To bring the story home with a
summary, a call to action and a

625
00:35:31,040 --> 00:35:35,320
clear reminder of the stakes,
that is where we go in the last

626
00:35:35,320 --> 00:35:37,600
segment.
We have covered a lot in this

627
00:35:37,600 --> 00:35:39,720
episode.
We unpacked the four choke

628
00:35:39,720 --> 00:35:43,080
points of AI infrastructure, the
rise of data centers as

629
00:35:43,080 --> 00:35:46,680
sovereigns, the breakthroughs in
compute speed, the shadows

630
00:35:46,680 --> 00:35:50,000
around core weave, and the
reckoning that comes when energy

631
00:35:50,000 --> 00:35:52,400
and risk collide.
Together.

632
00:35:52,400 --> 00:35:57,800
These stories show one truth.
Control of compute, energy, land

633
00:35:57,800 --> 00:36:00,840
and capital will decide the
balance of power in the age of

634
00:36:00,840 --> 00:36:03,400
intelligence.
If this episode gave you the

635
00:36:03,400 --> 00:36:06,160
infrastructure lens, you should
also listen to the AI

636
00:36:06,160 --> 00:36:09,800
infrastructure Arms Race,
Geopolitical and Economic Power

637
00:36:09,800 --> 00:36:12,080
shifts.
It reveals how the United

638
00:36:12,080 --> 00:36:15,560
States, China, Europe and the
Gulf are aligning these choke

639
00:36:15,560 --> 00:36:18,040
points into full national
strategies.

640
00:36:18,440 --> 00:36:21,680
And for the other side of the
story, check out the AI

641
00:36:21,680 --> 00:36:25,040
interface Wars, how agents,
models and ecosystems are

642
00:36:25,040 --> 00:36:29,320
redrawing the digital map that
one dives into Open AI, Meta,

643
00:36:29,320 --> 00:36:32,920
Google and Alibaba, and how they
are racing to control the

644
00:36:32,920 --> 00:36:36,160
interface layer that is
replacing search apps and even

645
00:36:36,160 --> 00:36:39,280
trust itself.
Together, these episodes connect

646
00:36:39,280 --> 00:36:41,680
the dots.
Infrastructure is the

647
00:36:41,680 --> 00:36:44,840
foundation.
Interfaces are the frontline.

648
00:36:45,160 --> 00:36:48,880
Both will decide who leads and
who follows in the AI century.

649
00:36:49,200 --> 00:36:53,880
Subscribe to AI Frontier AI on
Spotify or Apple Podcasts.

650
00:36:54,200 --> 00:36:57,760
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651
00:36:57,760 --> 00:37:00,280
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655
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00:37:15,880 --> 00:37:19,080
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661
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662
00:37:39,720 --> 00:37:42,840
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663
00:37:43,040 --> 00:37:46,560
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664
00:37:46,560 --> 00:37:49,600
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Always verify before you act,

665
00:37:49,600 --> 00:37:53,320
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The AI landscape is changing

666
00:37:53,320 --> 00:37:56,560
fast.
Benchmarks evolve, regulations

667
00:37:56,560 --> 00:38:00,000
shift, and what is true today
may not hold tomorrow.

668
00:38:00,520 --> 00:38:03,840
Use every insight here as a
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669
00:38:04,120 --> 00:38:07,640
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670
00:38:07,640 --> 00:38:11,080
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671
00:38:11,080 --> 00:38:16,240
Library license.
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672
00:38:16,360 --> 00:38:18,480
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All rights reserved.

673
00:38:18,960 --> 00:38:22,600
Reproduction, distribution, or
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674
00:38:22,600 --> 00:38:25,200
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675
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676
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