All language subtitles for Power, Business and Wealth_ Stories that shape the global economy_CLIP_3
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delivers billions of bricks that must
all fit together flawlessly across
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00:00:04,960 --> 00:00:05,960
decades.
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00:00:06,540 --> 00:00:13,100
In a global toy market worth roughly
$120 billion a year, LEGO
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00:00:13,100 --> 00:00:16,760
commands nearly 9 % of all worldwide toy
chaos.
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00:00:17,220 --> 00:00:23,020
No other toy brand, not Barbie, not
Marvel figures, not Nintendo
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00:00:23,500 --> 00:00:28,320
maintains such consistency across
continents, genders, and generations.
7
00:00:29,610 --> 00:00:34,750
And unlike most toy companies with
outsourced manufacturing, LEGO controls
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00:00:34,750 --> 00:00:39,710
significant portion of its own
production, with major hubs in Denmark,
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00:00:39,950 --> 00:00:42,210
Mexico, China and the Czech Republic.
10
00:00:43,510 --> 00:00:49,350
This vertical integration reduces risk,
stabilizes quality and protects one of
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00:00:49,350 --> 00:00:53,070
the most important values in the
company's DNA, precision.
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00:00:54,190 --> 00:00:59,110
Every Lego brick must be manufactured
with tolerances thinner than a strand of
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00:00:59,110 --> 00:01:02,710
hair. If the clutch is too tight, the
model breaks.
14
00:01:03,190 --> 00:01:05,930
If it's too loose, towers collapse.
15
00:01:06,750 --> 00:01:10,710
Across billions of pieces, perfection is
not an ambition.
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00:01:11,110 --> 00:01:13,970
It is an engineering reality for Lego.
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00:01:15,270 --> 00:01:20,150
This level of detail gives the company
one of the highest brand trust ratings
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the world.
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Parents know the bricks will last.
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00:01:23,770 --> 00:01:25,430
Adults know the sets will impress.
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00:01:26,210 --> 00:01:28,890
Collectors know the investment will hold
value.
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00:01:29,830 --> 00:01:35,310
The modern toy market is a machine of
impulse, tradition, celebration, and
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00:01:35,310 --> 00:01:36,310
nostalgia.
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00:01:36,530 --> 00:01:42,750
In 2025, global spending on toys
approaches $120 billion,
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00:01:43,130 --> 00:01:46,190
nearly double what it was two decades
earlier.
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The United States remains the world's
largest consumer.
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accounting for roughly one -third of
global sales.
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00:01:53,990 --> 00:02:00,090
A typical American household with
children may spend $300 to $400 per
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year on toys.
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00:02:01,470 --> 00:02:04,350
This is more than five times the global
average.
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00:02:05,650 --> 00:02:10,449
Europe forms the second largest bloc,
with strong purchasing power in Germany,
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00:02:10,590 --> 00:02:12,290
the United Kingdom, and France.
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00:02:13,250 --> 00:02:18,690
Asia -Pacific is rapidly growing,
especially in China, South Korea, and
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00:02:19,420 --> 00:02:22,700
driven by rising middle classes and
urban lifestyles.
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00:02:23,540 --> 00:02:28,100
But the most important shift of the last
decade is not geographic.
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00:02:28,540 --> 00:02:30,140
It is demographic.
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00:02:36,520 --> 00:02:42,080
Adults, once considered irrelevant to
the toy industry, are now one of the
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00:02:42,080 --> 00:02:43,100
powerful forces.
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00:02:43,680 --> 00:02:48,560
This growing segment, commonly called
the kid -old market, now represents
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00:02:48,560 --> 00:02:52,580
between 25 and 30 % of all toy purchases
worldwide.
41
00:02:53,960 --> 00:03:00,020
Adults buy toys for nostalgia, for
stress relief, for display, for
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00:03:00,940 --> 00:03:03,860
LEGO is the undisputed champion of this
movement.
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00:03:04,340 --> 00:03:07,680
Unlike other hobbies, LEGO gives me a
sense of calm.
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00:03:11,240 --> 00:03:16,360
It lets me take ideas from my mind,
bring them to life, think them through,
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00:03:16,360 --> 00:03:17,740
simply enjoy the process.
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Right now, I'm trying to instill that in
my son, to enjoy himself, to learn, to
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see colors and shapes, and to understand
that with imagination anything is
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possible.
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Regularly exceed prices of $300, $500,
even $800.
50
00:03:42,880 --> 00:03:44,840
They sell within hours.
51
00:03:45,160 --> 00:03:48,560
They hold aftermarket values like fine
collectibles.
52
00:03:48,960 --> 00:03:53,720
This adult segment has reshaped the
entire financial landscape of the
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00:03:54,240 --> 00:03:57,680
It provides stability when children's
trends shift.
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00:03:57,960 --> 00:04:01,080
It creates recurring revenue from loyal
fans.
55
00:04:01,520 --> 00:04:05,860
And it strengthens LEGO's position as a
cross -generational brand.
56
00:04:06,810 --> 00:04:09,250
something few toy companies have ever
achieved.
57
00:04:10,470 --> 00:04:13,750
Seasonality still dictates much of the
global toy market.
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00:04:14,090 --> 00:04:19,170
Every year, nearly half of all toy sales
occur between October and December.
59
00:04:19,910 --> 00:04:25,650
Companies live or die by holiday
forecasting, inventory strategy, and
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00:04:25,650 --> 00:04:28,830
timing. But Lego has become the
exception.
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00:04:29,550 --> 00:04:31,850
Adult collectors buy year -round.
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00:04:32,510 --> 00:04:36,210
Digital experiences drive sales outside
the holiday season.
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00:04:36,850 --> 00:04:40,770
Licensed launches create anticipation
even in slow quarters.
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00:04:41,710 --> 00:04:46,570
LEGO has effectively freed itself, or at
least partially, from the seasonal
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00:04:46,570 --> 00:04:50,190
dependency that has defined the toy
industry for over a century.
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00:04:51,070 --> 00:04:54,630
The brick is physical, tangible,
mechanical.
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00:04:55,130 --> 00:05:00,330
But LEGO's success in the 21st century
extends into digital worlds.
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00:05:02,170 --> 00:05:03,530
Batman, Marvel.
69
00:05:03,970 --> 00:05:08,310
These games defined an entire generation
of family -friendly titles.
70
00:05:08,710 --> 00:05:11,270
They sold tens of millions of copies.
71
00:05:11,550 --> 00:05:17,450
They introduced humor, storytelling, and
simplicity to a medium often dominated
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00:05:17,450 --> 00:05:18,450
by complexity.
73
00:05:19,190 --> 00:05:24,650
For many children born after the year
2000, Lego was not discovered in a toy
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00:05:24,650 --> 00:05:26,330
box, but on a screen.
75
00:05:26,890 --> 00:05:29,670
The cinematic leap came in 2014.
76
00:05:30,540 --> 00:05:35,560
When the Lego movie premiered to global
acclaim, it earned nearly half a billion
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00:05:35,560 --> 00:05:41,700
dollars. Most importantly, it reframed
Lego as a cultural idea, not a product.
78
00:05:42,120 --> 00:05:47,560
The film taught a global audience that
creativity matters, that imperfection is
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00:05:47,560 --> 00:05:52,840
beautiful, that building and rebuilding
are not failures, they are the process
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00:05:52,840 --> 00:05:53,840
of play.
81
00:05:54,100 --> 00:05:56,460
Lego Batman expanded the concept.
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00:05:57,070 --> 00:06:02,990
Lego Ninjago created an entirely new
generation of fans, and Lego Masters on
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00:06:02,990 --> 00:06:06,190
television turned building into a
competitive art form.
84
00:06:06,830 --> 00:06:11,810
The brand had moved beyond toys, beyond
stories, beyond brick.
85
00:06:12,090 --> 00:06:16,430
It had become part of the cultural
grammar of the 21st century.
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00:06:22,110 --> 00:06:27,410
Long before STEM became a global
movement, Lego was already teaching
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00:06:27,410 --> 00:06:28,950
how to think like engineers.
88
00:06:29,530 --> 00:06:35,710
In the 1990s, Lego Mindstorms introduced
programmable robotics to students
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00:06:35,710 --> 00:06:36,730
around the world.
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00:06:37,390 --> 00:06:43,870
Later sets, WeDo, Fight Prime, Boost,
brought coding, sensors, and motors into
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00:06:43,870 --> 00:06:44,930
classrooms and homes.
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00:06:45,490 --> 00:06:51,530
Today, Lego Education works with
governments, schools, and universities
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00:06:51,530 --> 00:06:53,590
hands -on learning to millions of
students.
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00:06:54,600 --> 00:06:55,940
The philosophy is simple.
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Children learn best through play.
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00:06:58,600 --> 00:07:03,500
This approach saves future engineers,
designers, and problem solvers.
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00:07:03,960 --> 00:07:07,360
It helps children experiment in ways
that textbooks cannot.
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00:07:08,000 --> 00:07:13,000
And it continues Oleg Kirk's belief that
play is not a distraction from
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learning, but the foundation of it.
100
00:07:16,970 --> 00:07:21,150
In a world increasingly focused on
sustainability... From my experience,
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00:07:21,150 --> 00:07:25,450
makes LEGO different from other
construction toys is its growing
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00:07:25,450 --> 00:07:30,390
inclusion. In recent years, LEGO has
actively embraced people with different
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00:07:30,390 --> 00:07:34,830
abilities, for example, by including
figures in wheelchairs and releasing
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00:07:34,830 --> 00:07:35,830
in Braille.
105
00:07:35,990 --> 00:07:39,730
These are things most other brands
simply don't offer, but LEGO does.
106
00:07:40,950 --> 00:07:44,110
In addition, LEGO is strongly committed
to the environment.
107
00:07:45,320 --> 00:07:49,060
They're producing more and more pieces
using recycled plastic and replacing
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00:07:49,060 --> 00:07:51,380
plastic packaging with paper to reduce
waste.
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00:07:51,760 --> 00:07:54,500
Something other brands simply don't do.
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00:07:56,180 --> 00:07:58,400
LEGO faces a unique challenge.
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00:07:59,240 --> 00:08:01,140
Its bricks are made to last forever.
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00:08:01,380 --> 00:08:06,100
A blessing for creativity, but a concern
in an era of plastic waste.
113
00:08:06,700 --> 00:08:11,780
In response, LEGO has invested hundreds
of millions of dollars into developing
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00:08:11,780 --> 00:08:13,140
more sustainable materials.
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00:08:14,480 --> 00:08:18,100
Plant -based polyethylene is already
used for leaves and trees.
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00:08:18,940 --> 00:08:22,160
Recycled PET prototypes continue to
advance.
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00:08:23,160 --> 00:08:26,080
Recycled PET prototypes continue to
advance.
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00:08:26,720 --> 00:08:33,140
New polymer engineering aims to create
bricks as durable as ABS, without the
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00:08:33,140 --> 00:08:34,140
environmental cost.
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00:08:34,919 --> 00:08:37,440
This transition is not simple.
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00:08:37,980 --> 00:08:41,240
The Lego brick must interlock with
perfect precision.
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00:08:42,030 --> 00:08:45,870
A fraction of a millimeter can make the
difference between wonder and
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00:08:45,870 --> 00:08:46,870
frustration.
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00:08:47,190 --> 00:08:48,610
But the mission is clear.
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A toy that lasts forever should also
protect the world it is played in.
126
00:08:54,470 --> 00:08:56,150
Play is not a luxury.
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00:08:56,550 --> 00:08:57,750
Play is exploration.
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00:08:58,530 --> 00:08:59,850
Play is curiosity.
129
00:09:00,670 --> 00:09:03,790
Play is the earliest form of human
creativity.
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00:09:04,850 --> 00:09:10,050
From wooden ducks in a small Danish
workshop to interlocking bricks that
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00:09:10,050 --> 00:09:11,050
generations,
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00:09:11,850 --> 00:09:16,550
to movies, video games, robotics, and
global fan communities.
133
00:09:17,110 --> 00:09:19,810
LEGO has remained loyal to a simple
truth.
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00:09:20,230 --> 00:09:22,270
When we build, we grow.
135
00:09:22,510 --> 00:09:24,910
When we imagine, we expand.
136
00:09:25,330 --> 00:09:28,650
When we play, we become more human.
137
00:09:34,750 --> 00:09:39,950
More than a century ago, a carpenter
rebuilt his workshop after a fire.
138
00:09:40,590 --> 00:09:42,570
He rebuilt it again after another.
139
00:09:43,430 --> 00:09:48,310
Not because it was easy, but because he
believed in the power of making things.
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00:09:48,790 --> 00:09:50,290
And in the power of play.
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00:09:51,270 --> 00:09:55,050
Today, billions of creations have risen
from that belief.
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00:09:55,710 --> 00:09:58,770
Cities, castles, spaceships.
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00:09:59,810 --> 00:10:03,710
Dreams that exist nowhere else but in
the minds of the people who build them.
144
00:10:04,910 --> 00:10:06,750
Lego is not perfect.
145
00:10:07,170 --> 00:10:11,360
It has faced crises, challenges, and
impossible decisions.
146
00:10:11,800 --> 00:10:18,080
But it endures. Through war, through
technological revolutions, through
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00:10:18,080 --> 00:10:22,320
storms. Because imagination always
endures.
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00:10:22,800 --> 00:10:27,760
And as long as there are hands reaching
the bricks, as long as there are minds
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ready to create, the legacy of Oleg Kirk
-Christensen will continue.
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00:10:33,600 --> 00:10:37,020
Every dream starts with a single piece.
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00:12:05,800 --> 00:12:08,940
Jensen Huang, the software moat.
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00:12:09,780 --> 00:12:12,100
June 18th, 2024.
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00:12:13,100 --> 00:12:17,840
For a brief historic moment, the world
had a new king.
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00:12:19,060 --> 00:12:25,860
Jensen Huang, the co -founder and CEO of
NVIDIA, stood at the peak of a $3 .4
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00:12:25,860 --> 00:12:27,160
trillion mountain.
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00:12:29,220 --> 00:12:32,500
Analysts whispered that he wasn't just
leading a company.
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00:12:33,260 --> 00:12:38,500
He was leading the first entity destined
for a $4 trillion valuation.
158
00:12:40,720 --> 00:12:45,780
But to understand the man in the leather
jacket, you cannot look at the triumph.
159
00:12:46,040 --> 00:12:48,320
You must look at the fear.
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00:12:49,260 --> 00:12:55,520
Behind the 250 % revenue jump and the
sold -out H100 backlog
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00:12:55,520 --> 00:12:59,220
lies a leader obsessed with the cyclical
trap.
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00:13:00,560 --> 00:13:06,400
In a 60 -year history of semiconductors,
giants like Texas Instruments, Intel,
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00:13:06,680 --> 00:13:12,000
and Samsung have all held the crown only
to see it slip away.
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00:13:13,680 --> 00:13:15,480
Jensen's mission is simple.
165
00:13:15,980 --> 00:13:19,260
Break the cycle before it breaks him.
166
00:13:21,560 --> 00:13:23,680
Flashback to September 1996.
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00:13:24,220 --> 00:13:28,920
The golden era of the Internet is
dawning for everyone else.
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00:13:29,290 --> 00:13:31,930
But for NVIDIA, it is a death knell.
169
00:13:33,290 --> 00:13:39,830
Their first chip, the NV1, is a
technical ghost, rejected by Microsoft's
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00:13:39,830 --> 00:13:40,830
DirectX.
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00:13:41,890 --> 00:13:47,630
Jensen stands before a dwindling team
and delivers the most famous mantra in
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Silicon Valley history.
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We have exactly 30 days of oxygen left.
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00:13:53,650 --> 00:13:56,210
We are 30 days from bankruptcy.
175
00:13:57,610 --> 00:14:02,530
How does a man go from cleaning toilets
in a Kentucky reform school to
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00:14:02,530 --> 00:14:06,090
controlling the foundational layer of
the global AI economy?
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00:14:07,230 --> 00:14:12,730
From a red leather booth at a Denny's to
a legal showdown in the U .S. Supreme
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Court over the very intellectual honesty
of his empire.
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00:14:17,390 --> 00:14:20,750
This is not just a story of silicon and
software.
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00:14:21,800 --> 00:14:26,760
This is the chronicle of the man who
decided to manufacture intelligence
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This is Jensen Huang, the architect of
the digital brain.
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Invidia was not born from abundance.
183
00:14:43,160 --> 00:14:46,760
Its DNA was forged in the raw fires of
survival.
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00:14:48,180 --> 00:14:54,040
Jensen Huang arrived in the United
States as a young migrant, but his
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destination wasn't an elite prep school.
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00:14:57,180 --> 00:15:02,740
Due to a clerical misunderstanding by
his parents, he was sent to Oneida
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Institute in rural Kentucky, a place
that, at the time, functioned more as a
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00:15:09,080 --> 00:15:12,460
reform school for troubled youth than a
traditional academy.
189
00:15:13,400 --> 00:15:18,680
At nine years old, the future CEO of one
of the world's most valuable companies,
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00:15:19,040 --> 00:15:20,040
wasn't coding.
191
00:15:20,200 --> 00:15:25,300
He was cleaning the toilets of 150
teenagers every single afternoon.
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00:15:26,600 --> 00:15:31,680
In his personal transcript, Jensen
reflects on this with a chilling
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I didn't complain.
194
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I just learned to want a cart.
195
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That boy learned the first law of
accelerated computing decades before it
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00:15:41,640 --> 00:15:47,140
existed. For a system to be efficient,
it must be able to process chaos.
197
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under extreme pressure.
198
00:15:50,600 --> 00:15:56,420
By 15, Jensen was the most efficient
dishwasher and waiter at a Denny's in
199
00:15:56,420 --> 00:16:02,400
Portland. I was incredibly shy, he
admits, but the chaos of the kitchen
200
00:16:02,400 --> 00:16:03,400
me out of my shell.
201
00:16:04,620 --> 00:16:11,480
It is no coincidence that NVIDIA was
founded in 1993 inside a booth at that
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00:16:11,480 --> 00:16:12,740
same restaurant chain.
203
00:16:13,640 --> 00:16:18,260
While the world saw the dawn of the PC
as an office tool for spreadsheets,
204
00:16:18,560 --> 00:16:23,880
Jensen, Chris Malachowski, and Curtis
Prim saw a fatal weakness.
205
00:16:25,920 --> 00:16:32,040
In 1993, Intel's general -purpose CPU
was hitting a physical wall.
206
00:16:32,800 --> 00:16:37,940
If the future of computing was visual
and immersive, the traditional serial
207
00:16:37,940 --> 00:16:41,220
architecture would become the bottleneck
of human progress.
208
00:16:42,480 --> 00:16:48,680
With only $40 ,000 in startup capital,
they founded NVIDIA to chase a ghost,
209
00:16:48,900 --> 00:16:50,240
accelerated computing.
210
00:16:51,280 --> 00:16:55,960
They bet on a market the rest of the
industry dismissed as a niche for toys,
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00:16:56,420 --> 00:16:57,420
video games.
212
00:16:57,980 --> 00:17:02,760
Before Jensen, video games were the
ultimate technological flywheel.
213
00:17:03,320 --> 00:17:08,119
He knew that if you could master the
massive, real -time rendering of pixels,
214
00:17:08,420 --> 00:17:11,240
you could eventually simulate reality
itself.
215
00:17:12,880 --> 00:17:17,720
But before they could reach that glory,
they had to survive their first massive
216
00:17:17,720 --> 00:17:20,079
technical abyss, the NV1.
217
00:17:29,220 --> 00:17:36,180
By 1995, NVIDIA's first massive bet, the
NV1 chip, was ready
218
00:17:36,180 --> 00:17:37,180
to conquer the market.
219
00:17:37,600 --> 00:17:41,180
But Jensen Huang had made a catastrophic
technical gamble.
220
00:17:42,480 --> 00:17:47,680
At a time when the industry was
undecided, he bet on quadratic texture
221
00:17:48,000 --> 00:17:51,680
a method that used curved surfaces to
create 3D images.
222
00:17:52,640 --> 00:17:57,140
It was mathematically intelligent, but
it was a lonely path.
223
00:17:57,960 --> 00:18:02,720
The industry hammer dropped when
Microsoft released its first DirectX
224
00:18:03,080 --> 00:18:08,840
Microsoft chose triangles, not quads, as
the universal language for PC gaming.
225
00:18:10,060 --> 00:18:14,220
This decision rendered NVIDIA's
technology instantly obsolete.
226
00:18:15,080 --> 00:18:19,220
The NV1 wasn't just a failure, it was a
dead end.
227
00:18:19,680 --> 00:18:25,580
The company was bleeding cash, and as
Jensen famously put it, they were
228
00:18:25,580 --> 00:18:28,060
at exactly 30 days of oxygen.
229
00:18:31,060 --> 00:18:36,200
NVIDIA's only lifeline was a strategic
contract with the Japanese giant Sega to
230
00:18:36,200 --> 00:18:38,420
build the graphics engine for the Sega
Saturn.
231
00:18:39,370 --> 00:18:42,510
but Jensen was trapped in a moral and
business dilemma.
232
00:18:43,530 --> 00:18:48,430
He knew that if they continued building
the chip for Sega using NVIDIA's flawed
233
00:18:48,430 --> 00:18:54,510
quad technology, Sega would lose the
console war to Sony's PlayStation, and
234
00:18:54,510 --> 00:18:56,670
NVIDIA would eventually perish anyway.
235
00:18:57,410 --> 00:19:02,330
In an act of intellectual honesty, or as
many at the time called corporate
236
00:19:02,330 --> 00:19:03,330
suicide,
237
00:19:03,550 --> 00:19:04,930
Jensen flew to Japan.
238
00:19:05,630 --> 00:19:12,240
He sat across from Shoichiro Irimajiri,
the CEO of Sega, and told him the brutal
239
00:19:12,240 --> 00:19:15,740
truth. Our technology is on the wrong
path.
240
00:19:16,060 --> 00:19:20,100
If we finish this project, you will
produce an inferior product.
241
00:19:21,680 --> 00:19:23,660
Jensen asked for the impossible.
242
00:19:24,220 --> 00:19:29,220
He asked Sega to terminate the contract,
but to pay the remaining $5 million
243
00:19:29,220 --> 00:19:35,140
anyway. If you don't pay us, Jensen
pleaded, NVIDIA will cease to exist
244
00:19:35,140 --> 00:19:36,140
tomorrow.
245
00:19:37,100 --> 00:19:41,060
Through the astonishment of the tech
world, Irimajiri -san agreed.
246
00:19:41,680 --> 00:19:43,700
He didn't pay for a working chip.
247
00:19:43,940 --> 00:19:46,000
He paid for Jensen's integrity.
248
00:19:47,700 --> 00:19:52,180
That $5 million was the most expensive
oxygen in history.
249
00:19:53,100 --> 00:19:56,980
To make it last, Jensen had to fire half
of his workforce.
250
00:19:57,640 --> 00:20:01,360
These weren't just employees. They were
friends who had shared the Denny's
251
00:20:01,360 --> 00:20:02,360
dream.
252
00:20:02,510 --> 00:20:06,750
This trauma institutionalized a
permanent state of emergency at NVIDIA.
253
00:20:08,210 --> 00:20:13,610
With the remaining team, Jensen funneled
every cent into the Revo 128.
254
00:20:14,730 --> 00:20:19,390
They abandoned quads and embraced
Microsoft's triangles with a vengeance.
255
00:20:19,930 --> 00:20:26,930
When it launched in 1997, the Revo 128
was 400 % faster than
256
00:20:26,930 --> 00:20:28,290
anything else on the market.
257
00:20:29,350 --> 00:20:31,730
It was a dive catch of epic proportions.
258
00:20:32,610 --> 00:20:34,710
NVIDIA was no longer just a survivor.
259
00:20:35,010 --> 00:20:37,090
It had become a hunter.
260
00:20:38,230 --> 00:20:43,950
But as Jensen looked out the horizon, he
saw 70 rivals waiting to kill him.
261
00:20:44,210 --> 00:20:46,450
The war was only beginning.
262
00:20:53,910 --> 00:20:57,790
The success of the Reaver 128 was a dive
catch.
263
00:20:58,430 --> 00:21:01,430
but it placed NVIDIA in the middle of a
slaughterhouse.
264
00:21:02,230 --> 00:21:08,170
By 1997, there were over 70 companies
fighting for the soul of the 3D graphics
265
00:21:08,170 --> 00:21:09,170
market.
266
00:21:09,550 --> 00:21:13,750
It was a commodity war where price
-cutting was the only weapon for most.
267
00:21:14,890 --> 00:21:19,810
Jensen Huang realized that if NVIDIA
played by the industry's rules, they
268
00:21:19,810 --> 00:21:21,210
eventually be ground in dust.
269
00:21:22,850 --> 00:21:25,310
He decided to break the laws of time.
270
00:21:26,410 --> 00:21:31,870
The industry standard for developing a
new chip was 18 to 24 months, following
271
00:21:31,870 --> 00:21:33,430
the steady beat of Moore's Law.
272
00:21:34,290 --> 00:21:38,350
Jensen gathered his engineers and
imposed a suicidal mandate.
273
00:21:39,090 --> 00:21:44,470
NVIDIA would release a brand new,
groundbreaking architecture every six
274
00:21:46,370 --> 00:21:49,130
It was a strategy of relentless
execution.
275
00:21:49,850 --> 00:21:56,810
By the time a competitor like 3DFX or S3
could react to one NVIDIA chip, Jensen
276
00:21:56,810 --> 00:21:58,510
had already launched two more.
277
00:21:59,430 --> 00:22:03,310
This forced the competition into a
permanent state of obsolescence.
278
00:22:03,910 --> 00:22:09,730
To achieve this, NVIDIA had to reinvent
its internal engineering, running
279
00:22:09,730 --> 00:22:14,350
multiple design teams in parallel, a
massive financial risk that pushed the
280
00:22:14,350 --> 00:22:16,590
company to the edge of its operational
capacity.
281
00:22:17,250 --> 00:22:21,230
In 1999, the war reached its climax.
282
00:22:21,910 --> 00:22:24,750
NVIDIA released the GeForce 256.
283
00:22:26,830 --> 00:22:29,870
Jensen didn't just market it as a faster
card.
284
00:22:30,150 --> 00:22:33,270
He coined a term that would redefine
computing history.
285
00:22:33,790 --> 00:22:34,850
The GPU.
286
00:22:35,670 --> 00:22:37,130
Graphics Processing Unit.
287
00:22:37,770 --> 00:22:39,410
This wasn't just branding.
288
00:22:40,170 --> 00:22:47,170
Technically, the G4 -256 moved the
transformer writing calculation, the
289
00:22:47,170 --> 00:22:52,030
heavy mathematical lifting of 3D, off
the CPU and onto the chip itself.
290
00:22:52,630 --> 00:22:54,870
It was the birth of a new era.
291
00:22:56,010 --> 00:23:00,430
This performance leap was so massive
that NVIDIA secured the prestigious
292
00:23:00,430 --> 00:23:06,050
contract to the original Microsoft Xbox,
receiving a crucial $200 million
293
00:23:06,050 --> 00:23:07,050
advance.
294
00:23:08,570 --> 00:23:10,530
The six -month cycle worked.
295
00:23:10,930 --> 00:23:17,310
By the early 2000s, the 70 competitors
had been reduced to just two, NVIDIA and
296
00:23:17,310 --> 00:23:18,310
KPI.
297
00:23:18,650 --> 00:23:24,450
In a final act of dominance, NVIDIA
acquired the assets of its former idol
298
00:23:24,450 --> 00:23:27,210
arch -rival, 3DFX in 2000.
299
00:23:28,510 --> 00:23:30,490
Jensen had cleared the board.
300
00:23:30,710 --> 00:23:33,770
He was the undisputed king of gaming.
301
00:23:34,310 --> 00:23:39,350
But at the very moment of his greatest
triumph, he began to look at the high
302
00:23:39,350 --> 00:23:40,750
-performance computing market.
303
00:23:41,310 --> 00:23:46,130
He realized that the GPU's massive
parallel math could do more than just
304
00:23:46,130 --> 00:23:50,030
pixels. It could solve the world's most
complex problems.
305
00:23:50,650 --> 00:23:54,830
The seeds of CUDA and the $10 billion
gamble.
306
00:23:55,370 --> 00:23:56,370
were being planted.
307
00:24:03,710 --> 00:24:08,970
By 2006, NVIDIA was the undisputed king
of the gaming world.
308
00:24:09,470 --> 00:24:11,610
But Jensen Huang was restless.
309
00:24:11,910 --> 00:24:16,410
He realized that the same parallel
processing power that rendered pixels
310
00:24:16,410 --> 00:24:20,630
World of Warcraft could be used to solve
the world's most complex mathematical
311
00:24:20,630 --> 00:24:21,630
problems.
312
00:24:22,390 --> 00:24:24,070
He launched CUDA.
313
00:24:24,700 --> 00:24:26,840
Compute Unified Device Architecture.
314
00:24:27,340 --> 00:24:31,220
It was a declaration of war against the
CPU -centric world.
315
00:24:32,060 --> 00:24:34,460
The goal was simple, yet insane.
316
00:24:35,040 --> 00:24:39,440
Transform every NVIDIA GPU into a
general -purpose supercomputer.
317
00:24:40,620 --> 00:24:43,520
But this decision came with a staggering
cost.
318
00:24:44,240 --> 00:24:50,020
Jensen mandated that every single GPU
NVIDIA manufactured, from the high -end
319
00:24:50,020 --> 00:24:54,620
workstation cards to the cheapest laptop
chips, must include the extra
320
00:24:54,620 --> 00:24:57,580
transistors and hardware logic to
support CUDA.
321
00:24:58,720 --> 00:25:00,940
Wall Street was horrified.
322
00:25:02,340 --> 00:25:09,120
For nearly a decade, NVIDIA spent
billions, estimated at over $10 billion
323
00:25:09,120 --> 00:25:13,760
cumulative R &D, on a software platform
that almost no one was using.
324
00:25:14,760 --> 00:25:20,060
Profit margins, which once sat
comfortably high, were sacrificed at the
325
00:25:20,060 --> 00:25:21,060
this vision.
326
00:25:21,850 --> 00:25:25,970
Analysts mocked the strategy, calling it
the bridge to nowhere.
327
00:25:26,730 --> 00:25:32,670
During the 2008 financial crisis,
NVIDIA's market cap plummeted and the
328
00:25:32,670 --> 00:25:35,150
was once again staring into the abyss.
329
00:25:36,550 --> 00:25:38,930
But Jensen wasn't just building
hardware.
330
00:25:39,170 --> 00:25:41,830
He was building a software moat.
331
00:25:42,230 --> 00:25:47,510
He sent NVIDIA engineers to universities
around the world, helping professors
332
00:25:47,510 --> 00:25:50,070
teach parallel programming using CUDA.
333
00:25:51,210 --> 00:25:52,630
He was ceding the ground.
334
00:25:53,210 --> 00:25:59,470
While competitors like Intel and AMD
focused on making faster chips, Jensen
335
00:25:59,470 --> 00:26:00,910
building an entire language.
336
00:26:01,750 --> 00:26:05,350
By the time a developer learned CUDA,
they were locked in.
337
00:26:06,010 --> 00:26:09,470
Switching to a competitor wouldn't just
mean buying a new chip.
338
00:26:09,750 --> 00:26:12,970
It would mean rewriting millions of
lines of code.
339
00:26:14,430 --> 00:26:19,430
Year after year, Jensen defended CUDA in
boardrooms and earning calls.
340
00:26:20,240 --> 00:26:25,120
He practiced what he called long -term
commitment to a vision, even when the
341
00:26:25,120 --> 00:26:26,480
data didn't yet support it.
342
00:26:27,200 --> 00:26:30,520
He was waiting for a killer app for
accelerated computing.
343
00:26:31,480 --> 00:26:35,880
He didn't know what it would be, but he
knew that if data grew exponentially,
344
00:26:36,380 --> 00:26:39,800
the serial processing of the CPU would
eventually fail.
345
00:26:40,840 --> 00:26:44,160
The silence of the cuda winter was about
to be broken.
346
00:26:45,100 --> 00:26:51,320
In a lab at the University of Toronto, A
PhD student named Alex Krzyzewski was
347
00:26:51,320 --> 00:26:55,820
about to feed a neural network called
AlexNet into those NVIDIA GPUs.
348
00:26:56,620 --> 00:27:02,480
The big bang of artificial intelligence
was seconds away, and Jensen Huang was
349
00:27:02,480 --> 00:27:06,660
the only person on Earth who had already
built the engine to power it.
350
00:27:14,440 --> 00:27:16,120
The year was 2012.
351
00:27:17,070 --> 00:27:21,930
While the world saw just another
academic competition, Jensen Huang saw
352
00:27:21,930 --> 00:27:24,350
spark that would ignite a global
revolution.
353
00:27:25,210 --> 00:27:32,030
A neural network called AlexNet, powered
by NVIDIA GPUs, crushed the competition
354
00:27:32,030 --> 00:27:33,270
in image recognition.
355
00:27:33,770 --> 00:27:36,750
It was the big bang of deep learning.
356
00:27:37,650 --> 00:27:41,890
Jensen didn't just celebrate, he pivoted
the entire company.
357
00:27:42,370 --> 00:27:47,830
He realized that the $10 billion gamble
on CUDA had finally found its soul,
358
00:27:48,090 --> 00:27:49,610
artificial intelligence.
359
00:27:50,850 --> 00:27:56,150
This pivot transformed NVIDIA from a
graphics card company into the
360
00:27:56,150 --> 00:27:59,250
engine of the world's most powerful data
centers.
361
00:28:00,830 --> 00:28:03,550
Jensen's vision was no longer about
drawing pixels.
362
00:28:03,750 --> 00:28:06,230
It was about generative AI.
363
00:28:06,970 --> 00:28:13,710
By the time ChatGPT launched in late
2022, NVIDIA didn't just have a head
364
00:28:14,440 --> 00:28:16,540
They were the only ones at the starting
line.
365
00:28:19,000 --> 00:28:22,180
Jensen acted with a speed that terrified
his competitors.
366
00:28:22,560 --> 00:28:27,560
He didn't just wait for orders. He re
-engineered NVIDIA's entire roadmap.
367
00:28:28,400 --> 00:28:35,160
In 2016, he personally delivered the
first NVIDIA DGX -1, the world's
368
00:28:35,160 --> 00:28:40,660
first AI supercomputer in a box, to a
then -small non -profit called OpenAI.
369
00:28:41,160 --> 00:28:42,540
He was very clear.
370
00:28:43,200 --> 00:28:44,920
This will change the world.
371
00:28:48,140 --> 00:28:50,840
Technically, this period was about
specialization.
372
00:28:51,620 --> 00:28:54,500
NVIDIA began adding tensor cores to its
chip.
373
00:28:54,840 --> 00:28:58,620
These weren't for graphics. They were
designed specifically for the deep
374
00:28:58,620 --> 00:29:01,000
learning math that powers neural
networks.
375
00:29:02,160 --> 00:29:06,760
NVIDIA was no longer just making a
faster graphics card. It was building a
376
00:29:06,760 --> 00:29:07,760
specialized brain.
377
00:29:08,600 --> 00:29:11,820
By 2017, the momentum was unstoppable.
378
00:29:12,720 --> 00:29:17,420
Every major tech giant was building AI
labs, and they all had one thing in
379
00:29:17,420 --> 00:29:20,020
common. They were built on NVIDIA's
stack.
380
00:29:21,040 --> 00:29:24,560
This was the era when the software moat
became a fortress.
381
00:29:25,460 --> 00:29:29,440
Thousands of researchers were now
writing their doctoral thesis on CUDA.
382
00:29:30,700 --> 00:29:35,260
If a competitor wanted to challenge
NVIDIA, they wouldn't just need a better
383
00:29:35,260 --> 00:29:40,120
chip. They would have to convince the
world's brightest minds to forget
384
00:29:40,120 --> 00:29:41,600
everything they had learned.
385
00:29:43,080 --> 00:29:47,340
But as the AI revolution took hold, an
unexpected shadow emerged.
386
00:29:47,860 --> 00:29:52,980
A new craze called Bitcoin and Ethereum
began to consume NVIDIA's supply.
387
00:29:53,760 --> 00:29:59,540
To the world, NVIDIA looked invincible,
but internally, Jensen was wary.
388
00:30:00,160 --> 00:30:03,000
Jensen knew that every bubble eventually
burst.
389
00:30:03,860 --> 00:30:08,980
This period of explosive, accidental
growth from crypto miners was creating a
390
00:30:08,980 --> 00:30:10,940
shadow over the company's true mission.
391
00:30:11,950 --> 00:30:16,170
setting the stage for a high -stakes
legal battle over corporate transparency
392
00:30:16,170 --> 00:30:20,470
and a financial storm that would test
the very foundations of its leadership.
393
00:30:26,490 --> 00:30:32,850
In 2018, NVIDIA was riding a wave that
looked like a miracle, but felt like a
394
00:30:32,850 --> 00:30:38,010
mirage. The explosion of cryptocurrency
mining had created an insatiable hunger
395
00:30:38,010 --> 00:30:39,110
for G -Force cars.
396
00:30:40,590 --> 00:30:44,770
To the outside world, NVIDIA's revenue
was reaching historic heights.
397
00:30:45,170 --> 00:30:49,570
However, beneath the surface, a
dangerous ambiguity was growing.
398
00:30:50,570 --> 00:30:55,210
Jensen Huang insisted that the growth
was driven by a gaming renaissance, but
399
00:30:55,210 --> 00:30:56,730
the reality was more volatile.
400
00:30:57,310 --> 00:31:00,730
The mirage evaporated in May 2018.
401
00:31:01,630 --> 00:31:06,870
The crypto winter arrived, and the
demand for mining chips vanished
402
00:31:08,260 --> 00:31:12,480
NVIDIA was left with a massive surplus
of inventory, and the market's reaction
403
00:31:12,480 --> 00:31:13,480
was brutal.
404
00:31:13,580 --> 00:31:18,040
The company's stock price plummeted by
28 % in a single day.
405
00:31:19,160 --> 00:31:23,980
The invincible architect of AI was
suddenly facing a crisis of credibility.
406
00:31:25,720 --> 00:31:29,560
This financial collapse ignited a high
-stakes legal battle that would
407
00:31:29,560 --> 00:31:32,240
eventually reach the steps of the US
Supreme Court.
408
00:31:33,140 --> 00:31:36,860
A group of institutional investors filed
a class -action lawsuit.
409
00:31:37,550 --> 00:31:40,990
alleging that Jensen Huang had
deliberately misled the market.
410
00:31:41,470 --> 00:31:45,190
The core of the case rested on a single,
devastating word.
411
00:31:46,330 --> 00:31:48,910
Cienta. The intent to deceive.
412
00:31:49,970 --> 00:31:51,750
The accusation was sharp.
413
00:31:52,170 --> 00:31:56,410
Investors claimed that internal NVIDIA
reports clearly showed over a billion
414
00:31:56,410 --> 00:32:01,110
dollars in revenue attributed to gamers
was actually coming from crypto miners.
415
00:32:02,010 --> 00:32:05,550
Jensen fought back, defending his
intellectual honesty.
416
00:32:06,140 --> 00:32:09,880
and arguing that the expert opinions
used against him were nothing more than
417
00:32:09,880 --> 00:32:10,880
speculation.
418
00:32:11,620 --> 00:32:13,960
This battle, known as Petition No.
419
00:32:14,200 --> 00:32:21,100
23 -970, became a landmark moment for
Silicon Valley, questioning how much a
420
00:32:21,100 --> 00:32:25,240
must disclose when their technology
accidentally conquered the market they
421
00:32:25,240 --> 00:32:26,460
didn't intend to lead.
422
00:32:28,180 --> 00:32:32,840
While lawyers argued in Washington,
Jensen was already looking past the
423
00:32:32,840 --> 00:32:37,720
wreckage. He didn't let the legal storm
or the inventory crisis blow down his
424
00:32:37,720 --> 00:32:38,720
ultimate plan.
425
00:32:39,120 --> 00:32:44,340
He doubled down on the data center,
acquiring Mellanox for $7 billion to
426
00:32:44,340 --> 00:32:46,300
the highways between his chips.
427
00:32:47,140 --> 00:32:52,040
He was preparing for a world where AI
wouldn't just be a research project, but
428
00:32:52,040 --> 00:32:54,280
the operating system of the entire
planet.
429
00:32:55,340 --> 00:33:00,880
The storm of 2018 had been a warning.
The era of generative AI was about to
430
00:33:00,880 --> 00:33:01,880
provide the answer.
431
00:33:08,300 --> 00:33:11,500
By 2022, the world had changed.
432
00:33:12,180 --> 00:33:17,880
The launch of ChatGPT signaled the
arrival of the generative AI era, and
433
00:33:17,880 --> 00:33:20,260
was the only company prepared to power
it.
434
00:33:21,240 --> 00:33:26,840
But as Jensen Huang stood on the brink
of total market dominance, a new wall
435
00:33:26,840 --> 00:33:30,660
built, not by a competitor, but by the
US government.
436
00:33:31,620 --> 00:33:35,400
Washington imposed strict export
controls on high -end AI chips.
437
00:33:35,800 --> 00:33:38,650
For NVIDIA, The stakes were
astronomical.
438
00:33:40,110 --> 00:33:45,550
According to the geographical revenue
data, China accounted for approximately
439
00:33:45,550 --> 00:33:48,890
% to 25 % of the company's total
business.
440
00:33:50,370 --> 00:33:55,730
Overnight, Jensen had to navigate a
geopolitical minefield, redesigning
441
00:33:55,730 --> 00:34:00,010
specifically to comply with regulations
while trying to keep his most important
442
00:34:00,010 --> 00:34:01,410
market from slipping away.
443
00:34:03,270 --> 00:34:07,590
Jensen's answer to the geopolitical and
technical pressure was the Blackwell
444
00:34:07,590 --> 00:34:08,590
architecture.
445
00:34:08,830 --> 00:34:13,010
If the H100 was a spark, Blackwell was
the sun.
446
00:34:13,870 --> 00:34:19,770
Packing an incredible 208 billion
transistors, it delivered up to 30 times
447
00:34:19,770 --> 00:34:22,429
performance of its predecessor for
certain AI tasks.
448
00:34:23,489 --> 00:34:26,650
But Blackwell represented a deeper
strategic shift.
449
00:34:27,090 --> 00:34:29,510
NVIDIA was no longer just a chipmaker.
450
00:34:31,170 --> 00:34:34,810
Jensen was now building entire AI
factories.
451
00:34:35,850 --> 00:34:40,790
By integrating Mellanox networking
technology, he controlled the highways
452
00:34:40,790 --> 00:34:44,810
allowed thousands of chips to talk to
each other as if they were a single
453
00:34:44,810 --> 00:34:45,810
brain.
454
00:34:46,750 --> 00:34:51,330
This system -on -a -cluster approach
meant that even if a competitor produced
455
00:34:51,330 --> 00:34:55,510
faster individual chip, they couldn't
compete with the sheer efficiency of the
456
00:34:55,510 --> 00:34:56,510
NVIDIA ecosystem.
457
00:34:58,070 --> 00:35:00,430
The financial results were staggering.
458
00:35:00,750 --> 00:35:02,290
By early 2024,
459
00:35:03,150 --> 00:35:09,790
NVIDIA's data center revenue had surged
to over $47 billion, a 217 %
460
00:35:09,790 --> 00:35:11,590
increase in a single year.
461
00:35:12,250 --> 00:35:18,330
The company was operating with 78 .4 %
growth margins, profit levels usually
462
00:35:18,330 --> 00:35:21,770
reserved for software giants, not
hardware manufacturers.
463
00:35:22,930 --> 00:35:28,970
On June 18, 2024, NVIDIA became the most
valuable company on the planet.
464
00:35:29,930 --> 00:35:34,770
Yet, even as it stood at the summit,
Jensen refused to relax.
465
00:35:35,370 --> 00:35:40,650
He looked at the 60 -year history of
semiconductors, the rise and fall of
466
00:35:40,910 --> 00:35:45,890
the cycles of Samsung and TI, and he
knew that being on top was the most
467
00:35:45,890 --> 00:35:46,990
dangerous place to be.
468
00:35:47,430 --> 00:35:50,890
His next challenge wouldn't just be
about chips.
469
00:35:51,230 --> 00:35:54,450
It would be about giving AI a physical
body.
470
00:36:00,570 --> 00:36:01,810
In 2024,
471
00:36:02,650 --> 00:36:07,070
Jensen Huang had already conquered the
digital world, but his eyes were fixed
472
00:36:07,070 --> 00:36:09,130
a new frontier, the physical one.
473
00:36:09,710 --> 00:36:14,870
He declared that the next wave of AI
would be physical AI, intelligence that
474
00:36:14,870 --> 00:36:19,430
doesn't just process text or images, but
understands the laws of physics.
475
00:36:20,490 --> 00:36:25,990
Everything that moves, from autonomous
cars to humanoid robots, would
476
00:36:25,990 --> 00:36:27,790
be powered by an NVIDIA brain.
477
00:36:29,000 --> 00:36:32,680
This identifies it as the third pillar
of NVIDIA's future.
478
00:36:33,360 --> 00:36:39,360
To win this race, Jensen isn't just
building chips, he's building the
479
00:36:40,040 --> 00:36:44,600
This is a digital world where robots are
trained millions of times in a virtual
480
00:36:44,600 --> 00:36:48,180
simulation before they ever step into a
real factory.
481
00:36:49,300 --> 00:36:54,700
By the time a robot starts its job, it
has already lived a thousand lifetimes
482
00:36:54,700 --> 00:36:55,700
experience.
483
00:36:55,840 --> 00:36:58,980
Jensen's strategy is a total vertical
integration.
484
00:36:59,520 --> 00:37:03,440
He is transforming NVIDIA into a
provider of AI factories.
485
00:37:04,440 --> 00:37:09,520
He believes that in the future, every
company will have two factories, one
486
00:37:09,520 --> 00:37:13,340
produces physical goods and a digital
one that produces intelligence.
487
00:37:14,240 --> 00:37:19,100
With the Monox networking high -speed
highways and the CUDA software fortress,
488
00:37:19,540 --> 00:37:23,580
Jensen has ensured that the entire
infrastructure of this new industrial
489
00:37:23,580 --> 00:37:24,880
revolution runs.
490
00:37:25,320 --> 00:37:26,158
On NVIDIA.
491
00:37:26,160 --> 00:37:31,760
When asked about his legacy, Jensen
doesn't talk about stock prices or
492
00:37:31,760 --> 00:37:32,658
of dollars.
493
00:37:32,660 --> 00:37:36,840
He talks about material sciences and
scientific discovery.
494
00:37:37,740 --> 00:37:43,160
He believes AI will give humans
superpowers, helping us solve climate
495
00:37:43,320 --> 00:37:48,380
cure diseases, and handle the dangerous
and mundane tasks so we can focus on
496
00:37:48,380 --> 00:37:50,140
what truly makes us human.
497
00:37:50,460 --> 00:37:51,460
Curiosity.
498
00:37:56,270 --> 00:37:57,270
By 2025,
499
00:37:58,010 --> 00:38:01,670
the world had entered a state of compute
geopolitics.
500
00:38:02,310 --> 00:38:08,230
NVIDIA was no longer just a company. It
had become a strategic resource, similar
501
00:38:08,230 --> 00:38:09,590
to oil or grain.
502
00:38:10,350 --> 00:38:16,210
The launch of the Bacwell B200 hadn't
just met demand, it had ignited a global
503
00:38:16,210 --> 00:38:17,210
scramble.
504
00:38:17,530 --> 00:38:23,370
Nations like Japan, France, and the UAE
began building sovereign AI clouds.
505
00:38:23,960 --> 00:38:28,540
realizing that depending on a few
Silicon Valley giants for intelligence
506
00:38:28,540 --> 00:38:29,880
national security risk.
507
00:38:30,720 --> 00:38:35,900
But as 2025 progressed, a new whisper
began to haunt the industry.
508
00:38:36,600 --> 00:38:37,600
The wall.
509
00:38:37,760 --> 00:38:43,980
For years, AI progress relied on scaling
laws, the idea that more data and more
510
00:38:43,980 --> 00:38:46,800
GPUs would inevitably lead to more
intelligence.
511
00:38:47,320 --> 00:38:51,660
However, in 2026, the returns are
starting to diminish.
512
00:38:52,440 --> 00:38:57,320
Data centers are becoming so massive,
they require their own dedicated nuclear
513
00:38:57,320 --> 00:39:01,900
power plants, and the low -hanging fruit
of Internet data has been exhausted.
514
00:39:03,400 --> 00:39:06,720
Jensen's response to the wall is
typically defiant.
515
00:39:07,120 --> 00:39:11,220
He pivoted the industry towards
synthetic data and reasoning models.
516
00:39:11,700 --> 00:39:18,600
In 2026, NVIDIA's focus has shifted from
simply training AI to inference
517
00:39:18,600 --> 00:39:19,600
at scale.
518
00:39:20,270 --> 00:39:25,230
The goal is no longer just to build a
model that knows everything, but to
519
00:39:25,230 --> 00:39:29,830
a system that thinks through a problem
for days if necessary, using massive
520
00:39:29,830 --> 00:39:32,270
clusters of GPUs to reach a
breakthrough.
521
00:39:33,910 --> 00:39:37,950
The competition in 2026 has never been
fiercer.
522
00:39:38,690 --> 00:39:43,830
NVIDIA's biggest customers, Amazon,
Google, and Microsoft, have become its
523
00:39:43,830 --> 00:39:47,950
dangerous rivals, pouring billions into
their own custom AI chip.
524
00:39:48,480 --> 00:39:49,980
to escape the NVIDIA attack.
525
00:39:50,840 --> 00:39:54,000
Yet, the software mode remains
unbreached.
526
00:39:54,280 --> 00:39:59,340
While others build chips, Jensen is
building the entire ecosystem, the
527
00:39:59,340 --> 00:40:03,380
networking, the libraries, and the pre
-trained models that make the
528
00:40:03,380 --> 00:40:08,160
competitor's hardware feel like a relic
before it even leaves the factory.
529
00:40:09,180 --> 00:40:13,700
In this era, Jensen Huang has become one
of the world's most influential
530
00:40:13,700 --> 00:40:19,220
diplomat. He navigates a world where the
power grid is the new bottleneck, and
531
00:40:19,220 --> 00:40:23,080
where a single shipment of chips can
determine the economic future of a
532
00:40:24,280 --> 00:40:29,980
The trillion -dollar question of 2026 is
no longer if AI will change the world,
533
00:40:30,220 --> 00:40:33,200
but who will own the infrastructure of
that change.
534
00:40:38,920 --> 00:40:43,440
The story of NVIDIA is often told as a
series of lucky breaks or inevitable
535
00:40:43,440 --> 00:40:49,660
triumphs. But as we look at the empire
Jensen Huang has built, the reality is
536
00:40:49,660 --> 00:40:52,760
far more deliberate and far more
precarious.
537
00:40:53,580 --> 00:40:59,020
In 2026, the company stands at the
center of the greatest industrial shift
538
00:40:59,020 --> 00:41:00,020
human history.
539
00:41:00,640 --> 00:41:06,820
Yet for Jensen, the valuation of $3, $4
or $5 trillion is a lagging indicator.
540
00:41:07,300 --> 00:41:09,740
The true metric is the oxygen.
541
00:41:10,720 --> 00:41:15,090
Throughout his journey, From the
dishpits of Denny's to the halls of the
542
00:41:15,090 --> 00:41:19,530
Court, Jensen has maintained a
philosophy of intellectual honesty.
543
00:41:20,610 --> 00:41:26,290
He admits when the technology is wrong,
he pivots when the market shifts, and he
544
00:41:26,290 --> 00:41:28,750
invests billions when the world calls
him a fool.
545
00:41:29,650 --> 00:41:35,030
He has turned a semiconductor company
into a geopolitical superpower, a
546
00:41:35,030 --> 00:41:39,330
fortress, and the primary architect of a
new form of life.
547
00:41:40,460 --> 00:41:45,580
Critics ask if NVIDIA is a bubble
waiting to burst, or if the scaling laws
548
00:41:45,580 --> 00:41:47,180
will eventually hit a dead end.
549
00:41:47,720 --> 00:41:51,500
But Jensen doesn't operate on the
timeline of its stock market cycle.
550
00:41:51,800 --> 00:41:55,160
He operates on the timeline of human
evolution.
551
00:41:56,020 --> 00:41:58,080
He isn't just selling chips.
552
00:41:58,360 --> 00:42:03,180
He is selling the marginal cost of
intelligence, making the most valuable
553
00:42:03,180 --> 00:42:09,200
resource in the universe so abundant
that it changes the very definition of
554
00:42:09,200 --> 00:42:10,200
is possible.
555
00:42:11,370 --> 00:42:15,510
Jensen often says that he wakes up every
morning with the same feeling he had in
556
00:42:15,510 --> 00:42:19,610
1993, the feeling that the company is
going out of business.
557
00:42:20,450 --> 00:42:25,610
It is this productive paranoia that
prevents the cyclical trap that claimed
558
00:42:25,610 --> 00:42:26,610
giants of the past.
559
00:42:27,470 --> 00:42:29,770
He doesn't want to be the king of a
legacy.
560
00:42:30,310 --> 00:42:35,610
He wants to be the architect of a future
that hasn't even been imagined yet.
561
00:42:38,110 --> 00:42:39,930
Run, don't walk.
562
00:42:40,600 --> 00:42:44,460
Either you are running for food, or you
are running from being food.
563
00:42:45,080 --> 00:42:50,360
In the era of the digital brain, the
race has only just begun.
564
00:44:19,440 --> 00:44:24,220
At the edge of the world, in a country
with more sheep than people, one of the
565
00:44:24,220 --> 00:44:28,060
most powerful men in Silicon Valley
built an escape hatch.
566
00:44:28,460 --> 00:44:34,280
Not a vacation home, not a tax shelter,
a contingency plan.
567
00:44:36,280 --> 00:44:42,920
In 2011, a billionaire quietly secured
citizenship in New Zealand after
568
00:44:42,920 --> 00:44:44,440
just days in the country.
569
00:44:44,780 --> 00:44:48,740
A legal backdoor, a geopolitical
lifeboat,
570
00:44:49,640 --> 00:44:54,940
Deep in the rugged terrain of New
Zealand's South Island, Peter Thiel owns
571
00:44:54,940 --> 00:45:00,640
vast private estate, remote, secluded,
and far from the centres of power.
572
00:45:01,760 --> 00:45:07,260
While most billionaires buy yachts or
private islands, Thiel secures something
573
00:45:07,260 --> 00:45:14,180
more strategic, New Zealand citizenship,
and a vast estate in one of the most
574
00:45:14,180 --> 00:45:16,040
remote democracies on Earth.
575
00:45:17,100 --> 00:45:20,660
The purchase price for this geopolitical
insurance policy?
576
00:45:21,360 --> 00:45:28,300
In 2011, Thiel obtained New Zealand
citizenship after spending just 12 days
577
00:45:28,300 --> 00:45:33,620
the country over the previous two years,
a process that normally requires years
578
00:45:33,620 --> 00:45:34,620
of residency.
579
00:45:36,640 --> 00:45:40,260
The investment that secured this
exceptional pathway?
580
00:45:40,840 --> 00:45:45,560
Approximately $7 million in local assets
and business investments.
581
00:45:47,280 --> 00:45:54,220
The centrepiece, a 477 -acre estate near
Lake Wanaka, purchased
582
00:45:54,220 --> 00:45:59,860
for 13 .5 million New Zealand dollars,
about 10 million US dollars.
583
00:46:00,740 --> 00:46:07,480
When New Zealand media exposed the deal
in 2017, it sparked a national scandal.
584
00:46:08,090 --> 00:46:09,049
Hi, Benedict.
585
00:46:09,050 --> 00:46:12,250
Nice to talk to you again. So when we
last spoke, you told us that Peter Thiel
586
00:46:12,250 --> 00:46:17,770
was granted citizenship after having
only visited New Zealand four times for
587
00:46:17,770 --> 00:46:22,930
unknown number of days because the
documents had that information redacted,
588
00:46:22,930 --> 00:46:26,130
right? Politicians called it citizenship
for sale.
589
00:46:26,770 --> 00:46:29,130
Opposition leaders demanded
investigations.
590
00:46:30,190 --> 00:46:33,130
But Thiel had already achieved his
objective.
591
00:46:34,010 --> 00:46:39,770
a legal escape hatch in the world's most
politically stable democracy, a
592
00:46:39,770 --> 00:46:43,530
geopolitical insurance policy that money
can buy.
593
00:46:45,610 --> 00:46:50,970
Why would a man who helped build the
digital future prepare for the collapse
594
00:46:50,970 --> 00:46:51,970
the physical one?
595
00:46:52,390 --> 00:46:55,630
What does he see that others don't?
596
00:47:00,600 --> 00:47:06,940
The slogan of the Antichrist is peace
and safety, which is nothing wrong with
597
00:47:06,940 --> 00:47:10,840
peace and safety, but you have to sort
of imagine that it resonates very
598
00:47:10,840 --> 00:47:15,000
differently in a world where the stakes
are so absolute, where the stakes are so
599
00:47:15,000 --> 00:47:21,960
extreme, where the alternative to peace
and safety is Armageddon
600
00:47:21,960 --> 00:47:23,480
and the destruction of all things.
601
00:47:24,400 --> 00:47:28,140
He is one of the most polarizing figures
in Silicon Valley.
602
00:47:28,880 --> 00:47:34,620
To some, a visionary genius who saw the
future early. To others, the shadow
603
00:47:34,620 --> 00:47:39,940
financier of movements and candidates
who challenge liberal democratic norms.
604
00:47:40,880 --> 00:47:43,940
This is not fear. This is strategy.
605
00:47:44,640 --> 00:47:49,860
For decades, Peter Thiel has made the
same bet over and over again.
606
00:47:50,300 --> 00:47:52,520
Bets against consensus.
607
00:47:53,120 --> 00:47:54,640
Bets against the crowd.
608
00:47:54,920 --> 00:47:56,780
Bets against the system itself.
609
00:47:58,890 --> 00:48:03,370
To understand why he built a fortress at
the end of the earth, we have to go
610
00:48:03,370 --> 00:48:09,090
back to a childhood of constant
displacement, to a chessboard where
611
00:48:09,090 --> 00:48:14,550
meant nothing, to a company that tried
to replace money, and another that
612
00:48:14,550 --> 00:48:15,850
learned to see everything.
613
00:48:18,330 --> 00:48:21,550
But the estate is more than a luxury
retreat.
614
00:48:21,830 --> 00:48:25,590
It is a fortress designed for
civilizational uncertainty.
615
00:48:27,180 --> 00:48:33,060
Off -grid power systems, advanced
security infrastructure, multiple
616
00:48:33,060 --> 00:48:34,720
routes through the mountains.
617
00:48:35,040 --> 00:48:38,420
Not built for comfort, built for
continuity.
618
00:48:39,300 --> 00:48:44,400
While the world debates progress, Peter
Thiel is preparing for a different
619
00:48:44,400 --> 00:48:49,700
possibility. Not how to build the
future, how to survive it.
620
00:48:53,000 --> 00:48:55,500
The Architect of Dissidence
621
00:48:57,040 --> 00:49:03,320
Total estimated value of SEAL's
contingency infrastructure, $20 to $30
622
00:49:04,400 --> 00:49:10,320
Not for lifestyle, not for prestige, but
for the day the system he helped build
623
00:49:10,320 --> 00:49:11,460
no longer holds.
624
00:49:12,280 --> 00:49:15,140
He didn't build this because he panics
easily.
625
00:49:15,440 --> 00:49:20,660
He built it because he has always
believed that the crowd is wrong, and
626
00:49:20,660 --> 00:49:24,260
future belongs to those willing to stand
apart from it.
627
00:49:25,000 --> 00:49:30,700
Every fortress begins as an idea, and
Peter Thiel has been building
628
00:49:30,700 --> 00:49:33,060
fortresses since he was a child.
629
00:49:39,320 --> 00:49:44,980
Before he was a billionaire, before he
funded political outsiders, before he
630
00:49:44,980 --> 00:49:50,320
built machines that could see
everything, he was a boy who never
631
00:49:50,320 --> 00:49:52,940
place long enough to believe the world
made sense.
632
00:49:54,060 --> 00:49:57,220
So he searched for a world where the
rules didn't change.
633
00:49:57,840 --> 00:50:00,180
He found it on a chessboard.
634
00:50:01,060 --> 00:50:06,280
To understand Peter Thiel, you must
understand what it means to be a
635
00:50:06,280 --> 00:50:07,280
outsider.
636
00:50:08,100 --> 00:50:13,580
Born in Frankfurt, West Germany, Peter
Thiel spent part of his early childhood
637
00:50:13,580 --> 00:50:19,320
in Southwest Africa, now Namibia, before
growing up mainly in the United States
638
00:50:19,320 --> 00:50:21,320
between Ohio and California.
639
00:50:22,860 --> 00:50:27,100
Before he was a teenager, he had already
experienced life on multiple
640
00:50:27,100 --> 00:50:31,460
continents, never staying long enough to
feel fully at home.
641
00:50:32,440 --> 00:50:34,280
He didn't have a hometown.
642
00:50:34,620 --> 00:50:41,480
He didn't have a tribe. He only had his
own mind, and in that isolation, he
643
00:50:41,480 --> 00:50:44,100
found a language that didn't require a
passport.
644
00:50:48,620 --> 00:50:53,040
For a child who changed continents
before he could even make friends, the
645
00:50:53,040 --> 00:50:55,400
outside world was unpredictable noise.
646
00:50:55,900 --> 00:50:57,140
But the board?
647
00:50:57,360 --> 00:51:02,140
The board was the only place where the
rules didn't change depending on the
648
00:51:02,140 --> 00:51:03,140
country.
649
00:51:06,660 --> 00:51:11,680
His father, an engineer trained in a
culture of precision and system
650
00:51:12,120 --> 00:51:16,160
passed on a belief that reality could be
understood and optimized.
651
00:51:17,960 --> 00:51:22,140
While other children sought to fit in,
Peter sought the edge.
652
00:51:22,580 --> 00:51:26,840
He learned that the consensus of the
crowd is usually a distraction.
653
00:51:27,880 --> 00:51:33,320
If everyone is running toward the ball,
you run toward where the ball is going
654
00:51:33,320 --> 00:51:34,320
to be.
655
00:51:34,820 --> 00:51:37,580
Chess is the ultimate antidote to
consensus.
656
00:51:38,720 --> 00:51:41,740
In a crowd, you can hide behind a
popular opinion.
657
00:51:42,100 --> 00:51:45,740
In chess, you are either right or you
are dead.
658
00:51:46,460 --> 00:51:50,300
There is no middle ground, there is no
social construction of the board.
659
00:51:51,320 --> 00:51:56,360
He became a serious tournament chess
player, drawn to a world where rules
660
00:51:56,360 --> 00:52:00,500
fixed, outcomes were earned, and
consensus meant nothing.
661
00:52:02,520 --> 00:52:05,480
Mid -1980s, Stanford University.
662
00:52:06,740 --> 00:52:10,820
To the world, this was the peak of
American meritocracy.
663
00:52:11,420 --> 00:52:15,140
To Thiel, it was a factory of
conformity.
664
00:52:15,980 --> 00:52:19,960
While his classmates were debating how
to change the world through activism,
665
00:52:20,580 --> 00:52:23,820
Thiel was wondering why they all sounded
exactly the same.
666
00:52:24,480 --> 00:52:29,720
He saw the multiculturalism movement not
as progress, but as a new form of
667
00:52:29,720 --> 00:52:30,720
fundamentalism.
668
00:52:31,560 --> 00:52:37,440
Stanford in the late 1980s was ground
zero for America's culture wars, battles
669
00:52:37,440 --> 00:52:41,860
over multiculturalism, speech, and the
purpose of higher education.
670
00:52:43,020 --> 00:52:44,820
Thiel believed the university
671
00:52:45,530 --> 00:52:50,610
was drifting toward ideological
conformity, that certain views were
672
00:52:50,610 --> 00:52:53,430
socially, if not formally, off -limits.
673
00:52:53,830 --> 00:52:57,210
Here his investment methodology was
born.
674
00:52:57,850 --> 00:53:02,050
Identify what the crowd considered
sacred and question it.
675
00:53:03,590 --> 00:53:10,530
If everyone says identity diversity is
the most important thing, you argue that
676
00:53:10,530 --> 00:53:14,270
intellectual diversity is the only thing
that matters.
677
00:53:15,470 --> 00:53:20,630
He wasn't looking for friends. He was
looking to recruit others who, like him,
678
00:53:20,770 --> 00:53:22,710
did not fear being hated.
679
00:53:23,390 --> 00:53:25,850
He founded the Stanford Review.
680
00:53:26,510 --> 00:53:32,010
The paper quickly became one of the most
controversial publications on campus,
681
00:53:32,330 --> 00:53:38,410
attacking what Fields saw as
intellectual monoculture and political
682
00:53:39,050 --> 00:53:44,040
He saw that the smartest people in the
country were all competing for the same
683
00:53:44,040 --> 00:53:47,660
narrow prizes, thinking the same narrow
thoughts.
684
00:53:48,580 --> 00:53:51,440
He did what every top student does.
685
00:53:51,740 --> 00:53:53,240
He followed the track.
686
00:53:53,980 --> 00:54:00,080
After Stanford Law, he secured a
prestigious federal appellate clerkship,
687
00:54:00,080 --> 00:54:03,440
kind of credential that opens every
elite door in America.
688
00:54:04,280 --> 00:54:09,300
After his clerkship, he joined Sullivan
and Cromwell in New York, one of the
689
00:54:09,300 --> 00:54:11,500
most elite law firms in the world.
690
00:54:12,300 --> 00:54:14,360
On paper, he had reached the summit.
691
00:54:14,720 --> 00:54:18,060
Wall Street was his great negative
epiphany.
692
00:54:19,620 --> 00:54:24,380
But from his perspective, the brightest
graduates in America were locked in
693
00:54:24,380 --> 00:54:27,920
brutal competition for careers they
didn't even seem to want.
694
00:54:29,060 --> 00:54:34,840
It looked like Rene Girard's theory made
flesh, a system where everyone desired
695
00:54:34,840 --> 00:54:37,960
the same prize simply because everyone
else did.
696
00:54:38,720 --> 00:54:43,140
Wall Street looked to Theo like a
laboratory of mimetic rivalry.
697
00:54:43,820 --> 00:54:49,000
He realized that if he won that race,
his prize would be becoming the man in
698
00:54:49,000 --> 00:54:52,020
office next door, a copy of a copy.
699
00:54:52,620 --> 00:54:57,760
The day he lost the opportunity to clerk
for the U .S. Supreme Court wasn't a
700
00:54:57,760 --> 00:54:59,960
defeat. It was his liberation.
701
00:55:00,880 --> 00:55:02,920
He lasted less than a year.
702
00:55:03,800 --> 00:55:09,680
But Thiel's first venture after leaving
law was a humbling lesson in failure, a
703
00:55:09,680 --> 00:55:12,380
lesson that would save everything that
came after.
704
00:55:14,280 --> 00:55:21,120
In 1996, he launched Thiel Capital
Management, a
705
00:55:21,120 --> 00:55:25,740
hedge fund focused on currency trading
and macroeconomic derivatives.
706
00:55:26,420 --> 00:55:32,220
The strategy was to make big directional
bets on interest rates, inflation
707
00:55:32,220 --> 00:55:33,220
expectations,
708
00:55:33,800 --> 00:55:35,320
and foreign exchange movements.
709
00:55:36,140 --> 00:55:42,460
Initial capital raised $1 million,
mostly from Stanford Connections, who
710
00:55:42,460 --> 00:55:45,980
believed in the chess prodigy turned
lawyer turned financier.
711
00:55:48,460 --> 00:55:51,120
The result was spectacular failure.
712
00:55:51,700 --> 00:55:55,520
Within the first year, the fund had lost
significant capital.
713
00:55:56,040 --> 00:56:01,520
Industry estimates suggest losses
between 30 % and 40 % of the initial
714
00:56:01,520 --> 00:56:02,520
investment pool.
715
00:56:03,100 --> 00:56:04,320
Investors fled.
716
00:56:04,660 --> 00:56:08,000
Some demanded their remaining money back
immediately.
717
00:56:09,320 --> 00:56:14,300
Steele's reputation among finance
professionals, the people he had walked
718
00:56:14,300 --> 00:56:17,500
from at Sullivan and Cromwell, took a
serious hit.
719
00:56:18,560 --> 00:56:21,100
He was no longer the Stanford genius.
720
00:56:21,580 --> 00:56:24,220
He was just another failed trader.
721
00:56:25,060 --> 00:56:29,760
But this failure taught him the most
important lesson of his career.
722
00:56:30,520 --> 00:56:36,970
Competition. is for losers do not
compete in crowded markets where
723
00:56:36,970 --> 00:56:42,930
making the same trades with the same
information and the same tools wall
724
00:56:42,930 --> 00:56:48,830
was full of extremely smart people doing
the same macro trades reading the same
725
00:56:48,830 --> 00:56:55,070
economic reports betting on the same
currency movements it was a zero -sum
726
00:56:55,070 --> 00:56:58,110
played by thousands of nearly identical
players
727
00:57:00,490 --> 00:57:06,110
He needed to find a space where the
rules were still being written, where
728
00:57:06,110 --> 00:57:11,830
first mattered more than being best,
where a monopoly position was still
729
00:57:11,830 --> 00:57:14,610
available. He needed technology.
730
00:57:15,370 --> 00:57:20,910
And from the ashes of field capital
management, a new philosophy was born.
731
00:57:21,490 --> 00:57:25,630
If you want to create lasting value, you
have to build a monopoly.
732
00:57:26,310 --> 00:57:29,090
This became his investing mantra.
733
00:57:29,740 --> 00:57:31,660
and it would make him billions.
734
00:57:35,580 --> 00:57:40,740
Thiel walked away from the firm and went
back to California, not to start a tech
735
00:57:40,740 --> 00:57:44,400
empire, but to try trading, then to
launch a hedge fund.
736
00:57:44,640 --> 00:57:45,640
It failed.
737
00:57:46,000 --> 00:57:51,560
The system he had rejected did not
welcome him back as a prodigy. It
738
00:57:51,560 --> 00:57:52,560
like a nobody.
739
00:57:53,200 --> 00:57:57,880
That failure would become the last
lesson before his real beginning.
740
00:57:58,860 --> 00:58:00,160
But he'd learned something.
741
00:58:00,740 --> 00:58:05,220
If you play the system game as everyone
else, you've already lost.
742
00:58:06,260 --> 00:58:08,720
The chess master was done with the
board.
743
00:58:08,980 --> 00:58:11,440
He was ready to build his own.
744
00:58:18,820 --> 00:58:20,180
So this is an ATM.
745
00:58:20,500 --> 00:58:23,360
All we're going to do is transform the
traditional banking industry.
746
00:58:24,540 --> 00:58:26,580
I do not fit the picture of a banker.
747
00:58:28,410 --> 00:58:29,570
X .com, this is Julie.
748
00:58:29,910 --> 00:58:34,950
Raising $50 million is a matter of
making a series of phone calls, and the
749
00:58:34,950 --> 00:58:35,950
is there.
750
00:58:36,690 --> 00:58:41,350
I've sunk the great majority of my net
worth into X .com, which is the new
751
00:58:41,350 --> 00:58:44,410
banking and mutual funds company on the
Internet that I've started.
752
00:58:45,510 --> 00:58:46,690
December 1998.
753
00:58:47,910 --> 00:58:54,090
Peter Thiel co -founds a company called
Confinity with Max Levchin, a brilliant
754
00:58:54,090 --> 00:58:57,010
Ukrainian -born programmer, and Luke
Nosek.
755
00:58:57,400 --> 00:58:59,520
a fellow Stanford reviewer luminous.
756
00:59:00,660 --> 00:59:06,300
Initial funding, $300 ,000, scraped
together from friends, family, and
757
00:59:06,300 --> 00:59:09,100
libertarian true believers from the
Stanford days.
758
00:59:09,860 --> 00:59:15,440
The original product idea, digital
wallet on Palm Pilot handheld devices.
759
00:59:16,160 --> 00:59:18,020
The vision was that people...
67402
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