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that he began to see the world through
the lens of assets and yields.
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This public education gave him a
different edge.
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00:00:08,180 --> 00:00:12,600
While his peers at private East Coast
schools were being groomed for
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00:00:12,600 --> 00:00:17,680
corporate roles, Larry was developing
the outsider's eye, a perspective that
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00:00:17,680 --> 00:00:21,840
allowed him to see opportunities in the
messy, unpolished corners of the bond
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00:00:21,840 --> 00:00:22,840
market.
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He graduated in 1976, not with a silver
spoon, but with a California -bred
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ambition to take on the giants of
Manhattan.
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00:00:34,550 --> 00:00:39,970
He was a Bruin headed for Wall Street,
and the financial world had no idea what
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was coming.
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00:00:45,030 --> 00:00:46,850
The year is 1976.
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00:00:47,590 --> 00:00:52,250
New York City is a grit -covered
battlefield, and Larry Fink has just
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00:00:52,250 --> 00:00:53,710
handed the keys to the kingdom.
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Goldman Sachs, the most prestigious name
in finance back then, had practically
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hired him.
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He had passed the technical test.
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He had charmed the partners.
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All that remained was a rubber stamp
interview with Human Resources.
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But Larry?
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Larry wasn't just confident, he was
impatient.
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When the recruiter asked for his
thoughts on the firm, Larry didn't give
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you, he gave a consultation.
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He pointed out the flaws in their
system.
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At Goldman, they wanted a soldier.
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Larry was already acting like a general.
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In that room, the rigid Goldman way
clashed with the unfiltered Fink way.
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Before he could even hail a cab back to
his hotel, the offer was dead.
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The most coveted job in Wall Street
history had vanished. All because Larry
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couldn't stop himself from trying to fix
a system he hadn't even joined yet.
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It was a crushing blow.
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But in the shadow of that rejection, the
door opened at a scrappy second -tier
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firm called First Boston.
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It was a place with less prestige, but
more white space.
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At Goldman, he would have been a cog in
a perfect machine.
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At First Boston, he was the architect.
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He was given a desk, a telephone, and
the freedom to build something entirely
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new. The mortgage -backed security.
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He didn't know it yet, but that
recruiters know was the foundation upon
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00:02:26,990 --> 00:02:30,890
the $14 trillion empire of Black Rock
would be built.
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It's 1976 when Larry Fink arrives at
First Boston.
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At the time, the firm was the scrappy
underdog of investment banking.
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It wasn't as stiff as Morgan Stanley.
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or as elitist as Goldman.
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It was the perfect laboratory for a man
who didn't fit the mold.
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Larry was assigned to the bond
department.
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Back then, bonds were considered the
boring corner of finance.
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It was where you went to retire.
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Stocks were sexy.
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Bonds were for grandmothers.
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00:03:10,270 --> 00:03:13,850
But Larry saw something everyone else
missed.
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He looked at the American dream, the
suburban house, the white picket fence,
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30 -year mortgage and he saw a math
problem he realized that if you took
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thousands of individual home mortgages
bundled them together like a deck of
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cards and sold slices of that deck to
investors you created a money machine
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was the birth of the securitization
market what larry fink helped create was
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more than a financial product it was a
structural shift
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Securitization didn't just bundle
mortgages.
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It separated risk from reality.
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For the first time, financial value
could travel faster than the underlying
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economy that supported it.
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A house in California became a line in a
spreadsheet in New York, which became a
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yield sold to an investor in Tokyo.
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Risk no longer lived where decisions
were made.
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It was abstracted, sliced, repackaged,
and distributed across the system.
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This was the moment when finance stopped
reflecting the real economy, and began
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building a parallel one.
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A system that could grow without limits,
as long as everyone believed the models
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were right.
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And for a while, they were.
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00:04:35,490 --> 00:04:38,570
By the early 80s, Larry was the golden
ball.
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00:04:38,790 --> 00:04:41,890
He wasn't just hitting targets, he was
shattering them.
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In one year, his department was
responsible for nearly one -third of
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Boston's total profits.
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00:04:48,500 --> 00:04:54,260
At age 31, he became the youngest
managing director the firm had ever
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00:04:54,260 --> 00:04:55,260
was earning millions.
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00:04:55,400 --> 00:04:59,600
He was the successor, the prodigy, the
man who could do no wrong.
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He had moved his family to a sprawling
estate.
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00:05:03,180 --> 00:05:04,740
He was flying private.
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00:05:05,080 --> 00:05:08,300
He had conquered the grit -covered
battlefields of Manhattan.
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00:05:11,270 --> 00:05:15,870
But in the world of high finance, the
higher you fly, the thinner the air
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00:05:15,870 --> 00:05:16,870
becomes.
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Larry was making hundreds of millions
for the bank, but there was a ghost in
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machine, a variable he hadn't accounted
for.
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The year was 1986.
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Larry had made a massive bet on interest
rates.
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He believed they would stay stable.
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He was so sure of his math, so confident
in his track record, that he didn't
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realize the ground was shifting beneath
his feet.
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In just three months, the Golden Boys
department went from profit to a
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catastrophic $100 million loss.
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00:05:53,700 --> 00:05:58,640
In the 80s, $100 million wasn't just a
loss, it was a national scandal.
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Overnight, the man who was supposed to
run the bank was a pariah. The phones
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00:06:04,300 --> 00:06:05,300
stopped ringing.
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00:06:05,440 --> 00:06:08,560
The friends on the trading floor looked
away when he walked by.
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00:06:08,900 --> 00:06:12,780
He had been the smartest man in the room
until he wasn't.
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00:06:13,320 --> 00:06:17,820
He would later describe this moment as
the most painful experience of my life.
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But as he sat in the ruins of his
reputation, Larry Fink wasn't just
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his career, he was obsessed with one
question.
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How did I not see the risk?
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00:06:30,340 --> 00:06:35,350
That obsession, the fear of the unknown
variable, would become the cornerstone
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of BlackRock.
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By 1983, Larry wasn't just selling
bonds, he was a pioneer of the CMO,
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Collateralized Mortgage Obligation.
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Think of it like a water pool.
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Larry took thousands of mortgages and
sliced them into tranches.
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Some investors took the top slice, low
risk, low reward.
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00:07:03,720 --> 00:07:06,680
Others at the bottom, high risk, high
yield.
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00:07:06,980 --> 00:07:09,520
It was a masterpiece of financial
engineering.
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It made the illiquid liquid.
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00:07:12,500 --> 00:07:16,040
It made First Boston the center of the
universe.
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00:07:17,560 --> 00:07:22,100
But there was a flaw, a tiny
mathematical ghost in his models.
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Larry's team had predicted that interest
rates would rise, and they hedged their
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bets accordingly.
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But in the second quarter of 1986,
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Wraiths did something the models said
was impossible.
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They plummeted.
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Because they didn't have a system to
track their real -time exposure, Larry
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climbed blind.
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He was the pilot of a Boeing 747, trying
to land in a storm using nothing but a
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compass and a prayer.
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By the time he realized the engines were
on fire, the plane had already hit the
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mountain. $100 million.
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All gone.
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00:08:02,960 --> 00:08:05,140
He wasn't just fired, he was erased.
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00:08:05,920 --> 00:08:10,540
After the dust settled, Larry found
himself in a peculiar kind of exile.
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00:08:10,920 --> 00:08:13,740
He wasn't just unemployed, he was
haunted.
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00:08:14,220 --> 00:08:19,440
He realized that the $100 million loss
wasn't a failure of talent, it was a
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00:08:19,440 --> 00:08:20,500
failure of vision.
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00:08:20,880 --> 00:08:26,840
What happened in 1986 wasn't a personal
miscalculation, it was a systemic
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00:08:26,840 --> 00:08:27,840
blindness.
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00:08:28,340 --> 00:08:33,570
At the time, every major financial
institution operated the same way.
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Positions were fragmented.
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00:08:36,150 --> 00:08:38,490
Exposure was estimated, not measured.
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Risk was inferred after the fact.
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00:08:41,830 --> 00:08:46,170
Banks knew what they bought yesterday,
but not what it was worth right now.
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00:08:46,630 --> 00:08:51,310
The system rewarded speed, volume and
confidence, not understanding.
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00:08:51,830 --> 00:08:55,170
And as long as markets moved slowly, the
illusion held.
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00:08:55,710 --> 00:09:00,250
But once volatility entered the market,
no one truly knew where the danger was.
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00:09:00,730 --> 00:09:02,680
Or... how large it had become.
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00:09:03,680 --> 00:09:08,560
Larry didn't just lose money. He
realized the entire financial system was
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00:09:08,560 --> 00:09:09,560
without instruments.
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00:09:10,340 --> 00:09:13,880
Wall Street was essentially a collection
of blind giants.
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00:09:14,360 --> 00:09:20,580
Every major firm, Goldman, Lehman,
Merrill Lynch, was standing just one
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00:09:20,580 --> 00:09:23,600
away from total collapse at any given
second.
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00:09:24,200 --> 00:09:28,060
Why? Because they didn't actually know
what they owned.
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00:09:29,480 --> 00:09:30,800
with information blindness.
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00:09:32,780 --> 00:09:37,980
In the 1980s, you knew what you bought
yesterday, but you had no idea what it
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00:09:37,980 --> 00:09:39,120
was worth right now.
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00:09:39,600 --> 00:09:45,120
A sudden shift in interest rates or a
political coup across the ocean could
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00:09:45,120 --> 00:09:48,860
vaporize a billion dollars before the
morning coffee was poured.
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Larry understood a terrifying truth.
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The entire global financial system was
built on a foundation.
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of guesswork.
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00:09:59,800 --> 00:10:02,580
It hit him with the force of an
epiphany.
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00:10:03,120 --> 00:10:07,820
If he could build a brain, a machine
that could see the risk that humans were
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00:10:07,820 --> 00:10:10,920
too slow to calculate, he wouldn't just
be a banker.
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00:10:11,360 --> 00:10:15,940
He would be the only man in the world
with a flashlight in a dark room.
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This realization changed his entire
philosophy of investing.
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00:10:21,140 --> 00:10:25,520
He stopped looking for the big score and
started looking for the safe passage.
160
00:10:26,140 --> 00:10:28,180
He didn't want to beat the market
anymore.
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00:10:28,380 --> 00:10:30,440
He wanted to measure it.
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00:10:32,280 --> 00:10:36,780
He would later tell his partners, we are
never going to be blind again.
163
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That vow, born from the humiliation of
1986, became the blueprint for a new
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of firm, a firm that didn't rely on the
ego of a star trader, but on the cold,
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unblinking eye of technology.
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00:10:58,730 --> 00:11:04,010
Larry Fink was a man with a vision, but
he was also a man with a tainted resume.
167
00:11:04,550 --> 00:11:08,250
To the rest of Wall Street, he was the
guy who lost $100 million.
168
00:11:08,750 --> 00:11:14,090
But to a small circle of insiders at
First Boston, he was the only one who
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00:11:14,090 --> 00:11:16,030
understood why it happened.
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He began making calls.
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He wasn't offering high salaries or
flashy offices.
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He was offering a chance to build a holy
grail.
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00:11:25,880 --> 00:11:30,580
a financial firm where technology
governed the ego, not the other way
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00:11:30,980 --> 00:11:35,820
And he eventually found the right people
to help him build that holy grail.
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00:11:38,740 --> 00:11:41,640
Rob Capito, the enforcer.
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A powerhouse trader who knew the
plumbing of the bond market better than
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else. He provided the muscle Larry
needed to execute the vision.
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00:11:51,740 --> 00:11:54,040
Ben Golub, the oracle.
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00:11:54,600 --> 00:11:57,180
a PhD with a mind like a supercomputer.
180
00:11:57,700 --> 00:12:02,720
While other bankers were focused on
lunch reservations, Golub was thinking
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00:12:02,720 --> 00:12:05,360
value at risk and Monte Carlo
simulations.
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00:12:07,020 --> 00:12:09,960
Susan Wagner, the mastermind.
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00:12:10,640 --> 00:12:15,200
Brilliant, calculating, and capable of
seeing structural flaws in a multi
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-billion dollar merger before a single
paper was signed.
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Along with Barbara Novick, Ralph
Schlossstein, Hugh Freighter, and Keith
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Anderson, They became the original
eight.
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Fink wasn't looking for bankers who
would run after the money. He wanted
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00:12:30,740 --> 00:12:34,240
architects, people who were tired of
being blind.
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When he found them, they met in living
rooms and coffee shops.
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They had the blueprints for a system
they called Aladdin, an acronym for
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00:12:44,980 --> 00:12:48,820
Liability, Debt and Derivative
Investment Network.
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It was designed to be the unblinking eye
Larry had dreamed of in his exile.
193
00:12:55,280 --> 00:12:57,900
But a brain without a body is just a
dream.
194
00:12:58,440 --> 00:13:00,920
To build Aladdin, they needed hardware.
195
00:13:01,140 --> 00:13:02,500
They needed offices.
196
00:13:03,060 --> 00:13:07,640
And most importantly, they needed the
one thing Larry's reputation has cost
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Capital. Aladdin was not designed to
beat the market. It was designed to
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00:13:13,000 --> 00:13:14,000
understand it.
199
00:13:14,100 --> 00:13:17,700
But its real power emerged when others
started using it.
200
00:13:18,200 --> 00:13:23,750
Banks. insurance companies, pension
funds, sovereign institutions.
201
00:13:24,230 --> 00:13:27,130
As Aladdin spread, something subtle
happened.
202
00:13:27,770 --> 00:13:29,590
Risk stopped being subjective.
203
00:13:30,110 --> 00:13:31,550
It became standardized.
204
00:13:32,170 --> 00:13:37,590
When Aladdin flagged an asset as
dangerous, entire markets adjusted
205
00:13:39,690 --> 00:13:44,570
Not because Larry Fink said so, but
because the system trusted the models.
206
00:13:44,930 --> 00:13:48,510
At that point, BlackRock was no longer
just managing money.
207
00:13:49,080 --> 00:13:52,040
it was helping define how risk itself
was understood.
208
00:13:52,540 --> 00:13:56,800
And whoever defines risk defines the
boundaries of decision -making.
209
00:14:07,180 --> 00:14:09,100
Enter Stephen Schwarzman.
210
00:14:09,320 --> 00:14:13,680
In 1988, Schwarzman was the rising king
of private equity.
211
00:14:14,240 --> 00:14:17,880
His firm, Blackstone, was aggressive,
wealthy, and hungry.
212
00:14:19,720 --> 00:14:20,820
The meeting was tense.
213
00:14:21,480 --> 00:14:25,860
Schwarzman knew Larry's history. He knew
about the 1986 disaster.
214
00:14:26,720 --> 00:14:31,580
But Larry didn't hide from it. He used
it as his primary selling point.
215
00:14:32,520 --> 00:14:37,160
Because Larry had seen the end of the
world already, he knew exactly how the
216
00:14:37,160 --> 00:14:41,440
lights went out. And because of that, he
was the only one who knew how to keep
217
00:14:41,440 --> 00:14:42,440
them on.
218
00:14:43,560 --> 00:14:45,300
Larry's pitch was revolutionary.
219
00:14:45,780 --> 00:14:47,880
He didn't want to start a hedge fund.
220
00:14:48,190 --> 00:14:53,010
he wanted to create a fiduciary company,
a firm that managed other people's
221
00:14:53,010 --> 00:14:56,850
money with the same technological rigor
usually reserved for NASA.
222
00:14:57,710 --> 00:15:01,590
He asked for a $5 million credit line
and a partnership.
223
00:15:01,950 --> 00:15:06,030
In exchange, Schwarzman would own 50 %
of the new venture.
224
00:15:06,410 --> 00:15:10,590
He knew he was buying cheap because he
was buying on a distressed asset.
225
00:15:10,970 --> 00:15:12,550
Fink's damaged reputation.
226
00:15:13,670 --> 00:15:17,910
But he did so betting on the idea that
the experience had turned Larry Fink,
227
00:15:18,110 --> 00:15:19,950
into some sort of financial genius.
228
00:15:22,290 --> 00:15:23,630
The deal was done.
229
00:15:24,090 --> 00:15:29,590
On a Friday in March 1988, the team
moved into a single cramped room within
230
00:15:29,590 --> 00:15:30,630
Blackstone's offices.
231
00:15:31,630 --> 00:15:36,590
They were five computers, a few folding
chairs, and a mountain of cables on the
232
00:15:36,590 --> 00:15:41,690
floor. They were under the Blackstone
umbrella, but Larry knew that this was
233
00:15:41,690 --> 00:15:42,890
just a temporary shelter.
234
00:15:43,230 --> 00:15:44,990
He didn't just want a department.
235
00:15:45,230 --> 00:15:46,890
He wanted an empire.
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00:15:47,560 --> 00:15:52,720
he had the money he had the team and in
the corner of that small room the first
237
00:15:52,720 --> 00:15:59,480
lines of code for aladdin were being
written the information blindness was
238
00:15:59,480 --> 00:16:04,120
the era of black rock though it didn't
have that name yet had begun
239
00:16:04,120 --> 00:16:11,160
the
240
00:16:11,160 --> 00:16:16,240
first office of blackstone financial
management wasn't a glass tower It was a
241
00:16:16,240 --> 00:16:17,260
glorified closet.
242
00:16:17,680 --> 00:16:23,000
Because of the heat generated by the
early Sun Microsystems workstations, the
243
00:16:23,000 --> 00:16:28,040
temperature in the room rarely dropped
below 80 degrees, 27 degrees Celsius.
244
00:16:28,860 --> 00:16:33,400
While the rest of the Blackstone group
went out to expensive lunches, closing
245
00:16:33,400 --> 00:16:38,560
leveraged buyouts, Larry's original
eight were building a digital fortress.
246
00:16:39,940 --> 00:16:42,240
They were the weirdos in the basement.
247
00:16:42,700 --> 00:16:45,900
It was here that the name Aladdin became
a living thing.
248
00:16:46,460 --> 00:16:49,940
Every day, Ben Golub and his team fed it
data.
249
00:16:50,280 --> 00:16:53,580
Interest rates, housing prices,
historical crashes.
250
00:16:53,960 --> 00:16:58,560
They were teaching the machine to be
afraid of everything Larry hadn't seen
251
00:16:58,560 --> 00:16:59,560
1986.
252
00:17:04,839 --> 00:17:10,740
By 1992, the department in Ty Blackstone
was no longer a start -up. It was a
253
00:17:10,740 --> 00:17:14,730
powerhouse. Larry's team was managing
$17 billion.
254
00:17:16,130 --> 00:17:18,470
They weren't just a side project
anymore.
255
00:17:18,710 --> 00:17:21,670
They were a significant engine of
Blackstone's growth.
256
00:17:21,950 --> 00:17:24,930
But with success came a toxic byproduct.
257
00:17:25,730 --> 00:17:26,829
Identity confusion.
258
00:17:27,890 --> 00:17:29,550
Clients were getting confused.
259
00:17:30,130 --> 00:17:34,730
They would call Blackstone looking for
Larry's bond expertise or call Larry
260
00:17:34,730 --> 00:17:36,490
looking for Schwarzman's buyout.
261
00:17:36,770 --> 00:17:41,330
But the friction went deeper than a
name. It was a war of philosophies.
262
00:17:41,850 --> 00:17:43,290
Schwartzman was a dealmaker.
263
00:17:43,590 --> 00:17:45,450
He wanted to own companies.
264
00:17:45,910 --> 00:17:50,070
Fink was a producer. He wanted to manage
risk for others.
265
00:17:51,270 --> 00:17:56,530
The tension was similar to having two
predators in a cage too small to fit
266
00:17:56,790 --> 00:17:58,910
The breaking point came over equity.
267
00:17:59,730 --> 00:18:04,190
Larry wanted to use stocks to attract
and keep the original eight and new
268
00:18:04,190 --> 00:18:05,190
talent.
269
00:18:05,310 --> 00:18:09,590
Schwartzman, holding 50 % of the firm,
didn't want to dilute his stake.
270
00:18:10,440 --> 00:18:14,360
The partnership that saved Larry's
career was now suffocating his vision.
271
00:18:14,780 --> 00:18:17,380
In 1994, they reached a deal.
272
00:18:20,020 --> 00:18:23,780
Schwarzman agreed to sell Blackstone
Stokes for $240 million.
273
00:18:24,560 --> 00:18:29,420
At the time, it seemed like a win for
Schwarzman, a massive return on his $5
274
00:18:29,420 --> 00:18:30,540
million investment.
275
00:18:31,320 --> 00:18:34,180
It wasn't just about money, it was about
the spotlight.
276
00:18:34,840 --> 00:18:36,860
Schwarzman was the king of wall street.
277
00:18:37,420 --> 00:18:41,560
But his sub -tenant, Larry Fink, was the
one the New York Times wanted to
278
00:18:41,560 --> 00:18:45,260
interview. But for Larry, it was a price
for freedom.
279
00:18:46,380 --> 00:18:51,000
Schwarzman would later call selling
Black Rock the worst mistake of my
280
00:18:51,600 --> 00:18:55,220
For Larry, the divorce was the moment
the training wheels came off.
281
00:18:55,560 --> 00:18:57,960
He was no longer under anyone's
umbrella.
282
00:18:58,200 --> 00:19:00,860
He was the CEO of an independent firm.
283
00:19:01,260 --> 00:19:05,740
Now, he just had to prove he could
survive the coming storm of the late
284
00:19:15,820 --> 00:19:16,860
It is 2008.
285
00:19:17,420 --> 00:19:20,560
The financial world was experiencing a
heart attack.
286
00:19:21,040 --> 00:19:25,760
The financial smoothies that mortgage
-backed securities Larry had helped
287
00:19:25,760 --> 00:19:28,920
30 years earlier had turned into a
global poison.
288
00:19:29,580 --> 00:19:34,140
Banks didn't know what they owned. And
more importantly, they didn't know what
289
00:19:34,140 --> 00:19:35,140
their neighbors owned.
290
00:19:35,300 --> 00:19:37,180
Trust had evaporated.
291
00:19:37,980 --> 00:19:41,940
When the U .S. government realized the
economy was on the brink of a total
292
00:19:41,940 --> 00:19:44,420
blackout, they didn't call Goldman
first.
293
00:19:45,020 --> 00:19:46,760
They didn't call JP Morgan.
294
00:19:47,420 --> 00:19:52,340
While the CEOs of Lehman and Merrill
were begging for government checks,
295
00:19:52,340 --> 00:19:55,380
Fink was the one the government called
to write the checks.
296
00:19:56,380 --> 00:20:00,160
He was the only titan left standing with
a clean balance sheet.
297
00:20:01,040 --> 00:20:05,580
The United States government didn't just
seek advice, it delegated
298
00:20:05,580 --> 00:20:06,580
responsibility.
299
00:20:07,370 --> 00:20:12,590
BlackRock was tasked with valuing assets
no one understood, managing risks no
300
00:20:12,590 --> 00:20:16,730
one could measure, and stabilizing
markets that were collapsing in real
301
00:20:18,550 --> 00:20:20,350
This wasn't a bailout.
302
00:20:20,590 --> 00:20:23,630
It was an outsourcing of core sovereign
functions.
303
00:20:24,030 --> 00:20:28,610
For the first time, a private firm
played a central role in maintaining
304
00:20:28,610 --> 00:20:33,710
financial stability, not through
political authority, but through
305
00:20:33,710 --> 00:20:34,710
capability.
306
00:20:35,170 --> 00:20:39,860
From that moment on, Power was no longer
just about laws and institutions.
307
00:20:40,440 --> 00:20:43,840
It was about who had the tools to see
the system clearly.
308
00:20:45,360 --> 00:20:48,800
BlackRock was hired to manage the toxic
waste of the crisis.
309
00:20:49,440 --> 00:20:54,680
They became the official cleaner for the
U .S. government, managing $130 billion
310
00:20:54,680 --> 00:20:56,200
of troubled assets.
311
00:20:58,800 --> 00:21:04,040
Suddenly, Larry Fink was the most
powerful man in the room, acting as an
312
00:21:04,040 --> 00:21:05,740
to the President and the Treasury.
313
00:21:06,800 --> 00:21:11,340
But while he was saving the system, he
saw a once -in -a -lifetime opportunity
314
00:21:11,340 --> 00:21:12,720
to dominate it.
315
00:21:13,220 --> 00:21:17,920
In the middle of the carnage, Barclays
Bank in the UK was desperate for cash.
316
00:21:18,440 --> 00:21:20,520
They needed to sell their crowns off.
317
00:21:20,720 --> 00:21:25,120
A division called Barclays Global
Investors, which included a
318
00:21:25,120 --> 00:21:27,100
product called iShares.
319
00:21:28,120 --> 00:21:33,540
iShares represented passive investing,
ETFs that tracked the whole market
320
00:21:33,540 --> 00:21:34,680
than trying to beat it.
321
00:21:35,530 --> 00:21:38,230
It was the ultimate expression of
Larry's philosophy.
322
00:21:38,570 --> 00:21:41,670
Stop betting on stars and start owning
the system.
323
00:21:42,250 --> 00:21:46,230
It was a massive $13 .5 billion gamble.
324
00:21:47,070 --> 00:21:50,890
If the markets continued to fall, the
deal could sink BlackRock.
325
00:21:51,310 --> 00:21:56,010
But Larry knew something the others
didn't. He had looked into the eye of
326
00:21:56,010 --> 00:21:59,350
Aladdin, and Aladdin told him that the
bottom was near.
327
00:22:00,190 --> 00:22:05,250
With the acquisition of iShares in 2009,
BlackRock doubled its size overnight.
328
00:22:06,010 --> 00:22:07,850
They weren't just a bond shop anymore.
329
00:22:08,170 --> 00:22:11,650
They were now the largest money manager
on the planet.
330
00:22:12,130 --> 00:22:15,430
They had gone into the crisis as a
respective firm.
331
00:22:15,650 --> 00:22:19,170
They came out of it as the shadow
government of finance.
332
00:22:26,090 --> 00:22:29,350
By 2012, Larry Fink had built the
machine.
333
00:22:30,010 --> 00:22:32,650
He had the assets, the data, and the
influence.
334
00:22:33,090 --> 00:22:36,730
But he realized that being king of Wall
Street wasn't enough.
335
00:22:37,410 --> 00:22:40,250
He wanted to change the way the world
did business.
336
00:22:40,890 --> 00:22:45,590
Every January, a ritual began that would
send tremors through boardrooms from
337
00:22:45,590 --> 00:22:46,850
Detroit to Frankfurt.
338
00:22:47,610 --> 00:22:49,330
Larry started writing letters.
339
00:22:49,610 --> 00:22:51,450
They weren't just annual reports.
340
00:22:51,850 --> 00:22:54,210
They were the Black Rock Manifesto.
341
00:22:57,120 --> 00:22:59,800
In 2018, he dropped a bomb.
342
00:23:00,080 --> 00:23:04,640
He told the world's CEOs that if they
wanted BlackRock's money, they had to
343
00:23:04,640 --> 00:23:06,660
prove they served a social purpose.
344
00:23:07,320 --> 00:23:11,520
He wasn't just asking for profits, he
was asking for a soul.
345
00:23:12,020 --> 00:23:18,920
He was mainstreaming ESG, Environmental,
Social and Governance, and he was doing
346
00:23:18,920 --> 00:23:21,500
it with a $10 trillion hammer.
347
00:23:22,060 --> 00:23:25,500
But Larry's new gospel didn't sit well
with everyone.
348
00:23:26,200 --> 00:23:31,140
By 2021, the golden boy was finding
himself in the middle of a two -front
349
00:23:32,880 --> 00:23:35,660
The ESG debate was never cultural.
350
00:23:35,900 --> 00:23:37,100
It was economic.
351
00:23:37,720 --> 00:23:43,740
At its core, ESG was about risk
management anticipating regulation,
352
00:23:43,740 --> 00:23:45,720
disruption, and social instability.
353
00:23:46,720 --> 00:23:51,320
For BlackRock, ignoring those factors
wasn't neutral. It was dangerous.
354
00:23:51,640 --> 00:23:56,390
But when capital begins to price the
future, it also begins to shape it.
355
00:23:56,610 --> 00:23:59,010
That's why the backlash was so intense.
356
00:23:59,890 --> 00:24:04,710
To the left, Larry was a hypocrite. They
called him a greenwasher because
357
00:24:04,710 --> 00:24:07,770
BlackRock still held billions in oil and
gas stocks.
358
00:24:08,210 --> 00:24:12,790
To the right, he was a globalist villain
who was using other people's money to
359
00:24:12,790 --> 00:24:14,890
push a radical environmental agenda.
360
00:24:15,450 --> 00:24:19,050
The backlash turned into a full -scale
political assault.
361
00:24:21,640 --> 00:24:26,580
State treasurers in Florida, Texas, and
Mississippi began pulling billions out
362
00:24:26,580 --> 00:24:27,519
of BlackRock.
363
00:24:27,520 --> 00:24:32,600
They accused Larry of boycotting energy
and violating his duty to investors.
364
00:24:33,600 --> 00:24:38,620
For the first time, the man who had
mastered risk found himself in a risk he
365
00:24:38,620 --> 00:24:41,100
couldn't calculate, the culture war.
366
00:24:44,980 --> 00:24:49,460
He told a crowd in Aspen that he was
ashamed to be a part of the debate.
367
00:24:50,060 --> 00:24:54,720
He even stopped using the term ESG
altogether, calling it weaponized.
368
00:24:55,180 --> 00:24:57,760
He had tried to become the conscience of
capitalism.
369
00:24:58,220 --> 00:25:01,300
Instead, it became its most
controversial target.
370
00:25:01,700 --> 00:25:06,800
But even as the politicians shouted and
the protesters marched, the assets kept
371
00:25:06,800 --> 00:25:07,800
growing.
372
00:25:09,620 --> 00:25:13,960
Because in the end, whether you loved
him or hated him, you couldn't escape
373
00:25:13,960 --> 00:25:14,960
machine he built.
374
00:25:25,720 --> 00:25:27,160
January 2026.
375
00:25:27,520 --> 00:25:32,180
The number flashes on a terminal in
BlackRock's Hudson Yards headquarters.
376
00:25:33,280 --> 00:25:34,400
$14 trillion.
377
00:25:35,400 --> 00:25:39,520
It is a number so vast it defies human
comprehension.
378
00:25:40,240 --> 00:25:45,560
If Larry Fink's assets under management
were a country's GDP, it would be the
379
00:25:45,560 --> 00:25:50,480
third largest economy on Earth,
surpassed only by the United States and
380
00:25:51,240 --> 00:25:55,710
But as Larry looks out from his office,
He isn't looking at stock tickets.
381
00:25:55,970 --> 00:25:58,990
He is looking at the very bones of
civilization.
382
00:26:02,710 --> 00:26:07,590
In 2024, Larry made his final, most
aggressive pivot.
383
00:26:08,050 --> 00:26:13,050
He realized that the next decade won't
be one with bits on a screen, but with
384
00:26:13,050 --> 00:26:14,110
atoms in the ground.
385
00:26:14,510 --> 00:26:20,450
With the $12 .5 billion acquisition of
global infrastructure partners, Larry
386
00:26:20,450 --> 00:26:22,970
signaled the end of the old Wall Street
era.
387
00:26:23,550 --> 00:26:27,870
Larry saw the AI revolution coming, but
he didn't buy the chip makers.
388
00:26:28,190 --> 00:26:31,290
He bought the power plants that feed the
chips.
389
00:26:36,390 --> 00:26:39,990
But every empire faces the same
inevitable question.
390
00:26:40,930 --> 00:26:41,930
Succession.
391
00:26:44,770 --> 00:26:49,450
For years, Wall Street has whispered
about who could possibly replace the man
392
00:26:49,450 --> 00:26:50,930
who is Blackrock.
393
00:26:51,610 --> 00:26:56,550
Names like Rob Capito, Mark Weirman, and
Jennifer Johnson swirl in the press.
394
00:26:56,810 --> 00:26:58,850
But the truth is more complex.
395
00:26:59,470 --> 00:27:02,650
Larry hasn't just built a company, he's
built an organism.
396
00:27:02,970 --> 00:27:08,690
A system where Aladdin, now a very
sophisticated AI entity, handles the
397
00:27:08,690 --> 00:27:12,510
while a legion of 20 ,000 employees
executes the vision.
398
00:27:13,030 --> 00:27:15,410
Aladdin is no longer just a calculator.
399
00:27:15,810 --> 00:27:20,110
It is a predictive engine that runs
millions of simulations every second.
400
00:27:20,560 --> 00:27:24,740
anticipating everything from a war in
the Middle East to a crop failure in
401
00:27:24,740 --> 00:27:25,740
Brazil.
402
00:27:26,780 --> 00:27:28,980
Some call him the king of the world.
403
00:27:29,300 --> 00:27:31,680
Others call him the shadow architect.
404
00:27:32,380 --> 00:27:37,240
But if you ask Larry, he'll tell you
he's still that kid from the Van Nuys
405
00:27:37,240 --> 00:27:40,560
store, just trying to make sure that the
math sat up.
406
00:27:43,380 --> 00:27:47,940
He took the greatest humiliation of his
life and turned it into a shield to the
407
00:27:47,940 --> 00:27:48,940
global economy.
408
00:27:49,870 --> 00:27:54,710
He taught the world that profit without
a plan is just a gamble, and that in the
409
00:27:54,710 --> 00:27:57,250
dark, the man with the flashlight is
king.
410
00:27:59,390 --> 00:28:03,010
There is one financial question the
system cannot answer.
411
00:28:03,370 --> 00:28:08,550
What happens when everyone measures risk
the same way? When models converge?
412
00:28:08,890 --> 00:28:10,110
When assumptions align?
413
00:28:10,490 --> 00:28:12,530
When diversity of judgment disappears?
414
00:28:13,490 --> 00:28:16,890
A system optimized for stability can
become fragile.
415
00:28:17,370 --> 00:28:21,620
Not because it is wrong, but because it
leaves no room for the unexpected.
416
00:28:22,400 --> 00:28:26,860
When the supervisor becomes invisible
and the rules are embedded in code,
417
00:28:27,100 --> 00:28:29,480
accountability becomes harder to locate.
418
00:28:30,120 --> 00:28:33,060
The system works until it doesn't.
419
00:28:33,280 --> 00:28:37,160
And that's why BlackRock isn't just a
shareholder in your company.
420
00:28:37,440 --> 00:28:42,840
They are the landlord of your power
plant, the owner of your airport, the
421
00:28:42,840 --> 00:28:44,400
architect of your retirement.
422
00:28:45,050 --> 00:28:49,370
It is a level of centralized influence
the world has never seen in a private
423
00:28:49,370 --> 00:28:50,370
individual.
424
00:28:50,750 --> 00:28:56,210
Lawrence D. Fink didn't just build a
bank, he built the unblinking eye of
425
00:28:56,210 --> 00:28:57,210
capitalism.
426
00:28:57,550 --> 00:29:02,190
And as the world moves into the era of
AI, climate shift, and global
427
00:29:02,190 --> 00:29:07,670
restructuring, one thing is certain,
BlackRock will be there, watching,
428
00:29:07,950 --> 00:29:10,370
calculating, and growing.
429
00:30:33,160 --> 00:30:35,400
It's just a small plastic brick.
430
00:30:36,540 --> 00:30:38,480
Lightweight. Simple.
431
00:30:39,680 --> 00:30:41,420
Unchanged since 1958.
432
00:30:42,860 --> 00:30:46,980
And yet, it has built entire universes.
433
00:30:47,620 --> 00:30:50,100
Lego constructions truly take us back to
childhood.
434
00:30:51,640 --> 00:30:54,660
But they stay with us throughout our
entire lives.
435
00:30:54,920 --> 00:30:57,020
From bedrooms to boardrooms.
436
00:30:57,280 --> 00:30:59,220
From playgrounds to Hollywood.
437
00:30:59,960 --> 00:31:01,840
Lego has shaped generations.
438
00:31:02,990 --> 00:31:07,350
When I design something from scratch, I
start with an idea that occurs to me at
439
00:31:07,350 --> 00:31:08,350
any time of day.
440
00:31:09,450 --> 00:31:12,250
I try to build it with Lego and see what
I come up with.
441
00:31:12,730 --> 00:31:19,250
In a global toy market worth more than
$120 billion, Lego stands alone.
442
00:31:19,670 --> 00:31:25,810
A single company controlling nearly one
in every $10 spent on toys worldwide.
443
00:31:26,510 --> 00:31:30,490
Lego holds a leading position worldwide,
recognized above all for its
444
00:31:30,490 --> 00:31:31,490
playability.
445
00:31:31,950 --> 00:31:36,150
What if the most beloved toy in the
world almost didn't exist?
446
00:31:38,010 --> 00:31:43,810
Discover the incredible journey of a
small, struggling carpentry shop that
447
00:31:43,810 --> 00:31:46,250
to dream bigger than anyone thought
possible.
448
00:31:46,750 --> 00:31:53,450
This is the untold story of the
visionary who built Lego, transforming
449
00:31:53,450 --> 00:31:59,530
simple wooden bricks into a multi
-billion dollar empire and forever
450
00:31:59,530 --> 00:32:00,530
how we play.
451
00:32:02,030 --> 00:32:06,350
But none of this began with billion
-dollar charts or cinematic universes.
452
00:32:07,350 --> 00:32:10,250
It began with a carpenter with a vision.
453
00:32:11,170 --> 00:32:17,930
In a tiny Danish village, one man had a
dream, building toys out of scraps of
454
00:32:17,930 --> 00:32:18,930
wood.
455
00:32:27,370 --> 00:32:33,910
Olleke Christensen was born in 1891 in
Western Denmark, a place defined by
456
00:32:33,910 --> 00:32:36,650
silence, soil, and hard work.
457
00:32:37,570 --> 00:32:41,610
He grew up poor, like most children in
the Jutland countryside.
458
00:32:42,450 --> 00:32:45,270
But he learned the value of
craftsmanship early.
459
00:32:45,790 --> 00:32:48,770
When you made something, it had to last.
460
00:32:50,070 --> 00:32:51,970
He apprenticed as a carpenter.
461
00:32:52,370 --> 00:32:55,950
It was not a really glamorous work, but
meticulous.
462
00:32:56,410 --> 00:33:00,590
Honest. A craft that matched Arla's
character and manners.
463
00:33:01,910 --> 00:33:05,270
Arla travelled through Denmark, Germany
and Norway.
464
00:33:05,930 --> 00:33:08,830
Everywhere he went, he left a
reputation.
465
00:33:09,630 --> 00:33:11,050
Precise. Patient.
466
00:33:11,470 --> 00:33:12,470
Relentless.
467
00:33:13,170 --> 00:33:19,150
In 1916, Arla returned home and bought a
workshop in a place that barely existed
468
00:33:19,150 --> 00:33:20,150
on the map.
469
00:33:20,370 --> 00:33:23,850
Billund. No shop. No train station.
470
00:33:24,600 --> 00:33:27,840
Just a handful of families trying to
survive the Danish winds.
471
00:33:28,140 --> 00:33:32,500
Don't worry, I'm fine. I'm fine. But
eight years later, disaster struck.
472
00:33:32,900 --> 00:33:34,660
Oh, oh, oh no.
473
00:33:34,980 --> 00:33:38,600
In 1924, a fire tore through his
workshop.
474
00:33:38,920 --> 00:33:40,320
Oh God, no, please no.
475
00:33:40,540 --> 00:33:42,580
Oh my God. Everything burned.
476
00:33:43,100 --> 00:33:45,680
Tools, wood, orders.
477
00:33:46,320 --> 00:33:48,040
And a lifetime of savings.
478
00:33:48,660 --> 00:33:49,660
All gone.
479
00:33:50,740 --> 00:33:52,280
But Oller didn't quit.
480
00:33:53,050 --> 00:33:54,050
He rebuilt.
481
00:33:54,610 --> 00:33:56,450
And rebuilt bigger than before.
482
00:33:56,950 --> 00:34:02,070
Not because it was safe, but because he
refused to let villains disappear into
483
00:34:02,070 --> 00:34:03,070
the wind.
484
00:34:03,950 --> 00:34:05,590
Then came the Great Depression.
485
00:34:06,490 --> 00:34:08,090
Houses weren't being built.
486
00:34:08,610 --> 00:34:10,070
Doors weren't being ordered.
487
00:34:10,550 --> 00:34:12,310
Bills weren't being paid.
488
00:34:13,469 --> 00:34:15,850
Oller had workers depending on him.
489
00:34:16,230 --> 00:34:17,929
Families depending on him.
490
00:34:18,449 --> 00:34:20,070
So he did something unexpected.
491
00:34:20,969 --> 00:34:23,449
He began crafting more wooden toys.
492
00:34:24,290 --> 00:34:28,070
They were simple, durable, and
beautiful.
493
00:34:29,710 --> 00:34:33,730
Locals mocked him. A grown man making
toys for children?
494
00:34:33,949 --> 00:34:35,150
You'll never survive.
495
00:34:36,090 --> 00:34:40,489
But Zoller believed that play, and fun,
was a serious business.
496
00:34:41,409 --> 00:34:45,710
In 1934, he held a contest to name the
new toy company.
497
00:34:46,290 --> 00:34:47,850
He chose a short word,
498
00:34:48,570 --> 00:34:49,570
Lego.
499
00:34:49,900 --> 00:34:54,719
It was not only a simple idea, but a
philosophy and a promise.
500
00:34:55,580 --> 00:34:57,480
He hung a sign in the workshop.
501
00:34:57,860 --> 00:34:59,800
Only the best is good enough.
502
00:35:00,400 --> 00:35:01,820
It wasn't marketing.
503
00:35:02,080 --> 00:35:03,780
It was his identity.
504
00:35:07,860 --> 00:35:13,120
Oh, God, not again. In 1942, Oller faced
another fire.
505
00:35:13,820 --> 00:35:16,420
This time it was bigger, more
devastating.
506
00:35:16,940 --> 00:35:18,000
Every blueprint.
507
00:35:18,570 --> 00:35:22,130
Every toy, every dream he had turned
into smoke.
508
00:35:23,390 --> 00:35:25,510
But he had built himself the hardship.
509
00:35:26,250 --> 00:35:32,130
And once more, he rebuilt the factory,
stronger than the two previous ones.
510
00:35:32,950 --> 00:35:36,610
In 1947, at the worst economic moment,
511
00:35:37,410 --> 00:35:39,610
Oller made the riskiest choice of his
life.
512
00:35:40,350 --> 00:35:45,110
He spent more than twice the company's
annual profits on a strange new machine,
513
00:35:45,470 --> 00:35:48,810
one that worked not with wood, but with
plastic.
514
00:35:50,350 --> 00:35:51,710
Retailers hated plastic.
515
00:35:52,330 --> 00:35:56,210
Parents distrusted it. But Ola saw
something they didn't.
516
00:35:56,750 --> 00:35:59,930
Precision, repeatability, and
possibilities.
517
00:36:00,710 --> 00:36:02,030
Endless possibilities.
518
00:36:03,550 --> 00:36:09,690
Only two years later, in 1949, Lego
released the first plastic bricks of its
519
00:36:09,690 --> 00:36:11,710
history. They didn't click.
520
00:36:12,010 --> 00:36:13,310
They weren't perfect.
521
00:36:13,810 --> 00:36:15,650
But they were the beginning.
522
00:36:22,640 --> 00:36:27,360
The idea was good, but Olen had seen
faith setbacks while designing the brick
523
00:36:27,360 --> 00:36:30,140
that had cemented Lego's identity
through the years.
524
00:36:30,660 --> 00:36:33,220
The plastic brick didn't grip.
525
00:36:33,960 --> 00:36:38,140
This was a major problem for a building
set because buildings collapsed.
526
00:36:38,860 --> 00:36:40,900
Towers fell in front of their eyes.
527
00:36:41,460 --> 00:36:44,340
Apparently Lego wasn't created to build.
528
00:36:44,880 --> 00:36:49,360
And then, in 1958, everything changed.
529
00:36:50,570 --> 00:36:55,350
Unlike 20 years ago, LEGO today allows
us to build many more things because
530
00:36:55,350 --> 00:36:58,030
have released more realistic colors and
shapes.
531
00:37:00,670 --> 00:37:03,450
In the past, the pieces were mostly
square.
532
00:37:03,750 --> 00:37:08,730
Today, there is a much wider variety of
shapes, including more rounded elements,
533
00:37:08,930 --> 00:37:13,970
which allow us to create more ergonomic
forms, ones that more closely resemble
534
00:37:13,970 --> 00:37:17,630
the kinds of buildings and structures we
see in everyday life.
535
00:37:18,900 --> 00:37:22,960
Engineers at LEGO perfected a simple but
ingenious solution.
536
00:37:23,620 --> 00:37:25,780
Hollow tubes inside the brick.
537
00:37:27,120 --> 00:37:32,380
Paired with the studs on top, the
geometry created what LEGO calls clutch
538
00:37:32,800 --> 00:37:36,800
Not too tight, not too loose, just
perfect.
539
00:37:37,980 --> 00:37:40,560
This was not just an adjustment or
improvement.
540
00:37:41,020 --> 00:37:44,660
It was the birth of what we know today
as a LEGO brick.
541
00:37:45,340 --> 00:37:49,140
The brick that, today, can still be used
with the modern ones.
542
00:37:50,280 --> 00:37:54,700
The brick that was the foundation of a
company that still makes history today.
543
00:37:55,860 --> 00:37:58,660
That same year, Lego filed the patent.
544
00:37:59,320 --> 00:38:03,940
They had something worth protecting, and
Ollie knew that sooner or later, it
545
00:38:03,940 --> 00:38:04,940
would be replicated.
546
00:38:06,720 --> 00:38:11,580
It was January the 28th, 1958, when the
patent was filed.
547
00:38:12,260 --> 00:38:15,750
Later that year, Oliver Christensen
passed away.
548
00:38:16,730 --> 00:38:21,430
And sadly, he never lived to see how far
his brick would travel.
549
00:38:31,270 --> 00:38:35,390
After his father died, Gottfried Kirk
Christensen stepped in.
550
00:38:36,150 --> 00:38:38,310
He wasn't inheriting the company.
551
00:38:38,630 --> 00:38:40,570
He was inheriting a philosophy.
552
00:38:41,250 --> 00:38:42,970
One he had been raised with.
553
00:38:43,550 --> 00:38:48,490
His father wasn't around anymore, but
the original spirit of Lego lived on in
554
00:38:48,490 --> 00:38:49,950
the second Christensen generation.
555
00:38:51,190 --> 00:38:53,170
But he also had something to add.
556
00:38:53,830 --> 00:38:58,370
Godfrey believed Lego should be more
than toys. It should be a system.
557
00:38:58,770 --> 00:39:04,430
A system where every piece connected
with every other piece, across every
558
00:39:05,270 --> 00:39:08,550
This created a language of creativity
and possibilities.
559
00:39:09,190 --> 00:39:11,590
And a single idea changed everything.
560
00:39:12,680 --> 00:39:17,600
Suddenly, LEGO wasn't a collection of
toys, but an entire universe.
561
00:39:18,800 --> 00:39:22,760
The company began to grow far beyond its
original frontiers.
562
00:39:23,360 --> 00:39:30,020
During the 1960s and 70s, LEGO expanded
across Europe, Germany, Sweden,
563
00:39:30,240 --> 00:39:31,240
the UK.
564
00:39:31,980 --> 00:39:36,160
Finland, once a small village, became a
global hub of play.
565
00:39:36,780 --> 00:39:41,480
LEGO then built its own airports,
factories, and distribution centers.
566
00:39:41,960 --> 00:39:46,280
In the world of construction toys, we
know that LEGO isn't the only brand
567
00:39:46,280 --> 00:39:47,280
around.
568
00:39:48,400 --> 00:39:50,780
What LEGO provides is a quality product.
569
00:39:52,980 --> 00:39:58,440
Maybe one part is wrong for every 10
,000 or 100 ,000 items, and if you are
570
00:39:58,440 --> 00:40:02,920
missing an item from a box, or if it is
faulty, the company's after -sales
571
00:40:02,920 --> 00:40:05,820
service will not question the fact that
you are missing a part.
572
00:40:09,080 --> 00:40:10,080
And then?
573
00:40:10,570 --> 00:40:11,690
The magic happened.
574
00:40:12,590 --> 00:40:16,470
Lego introduced something no toy company
had done at scale.
575
00:40:17,030 --> 00:40:18,830
Fully themed worlds.
576
00:40:19,430 --> 00:40:22,410
Base, town, castles.
577
00:40:23,270 --> 00:40:25,750
Children weren't just building
structures anymore.
578
00:40:26,010 --> 00:40:27,710
They were building stories.
579
00:40:28,830 --> 00:40:34,850
In 1978, Lego released its most iconic
invention since the brick. The
580
00:40:34,850 --> 00:40:37,530
minifigure. It had a simple face.
581
00:40:38,030 --> 00:40:39,770
Hands shaped like a C.
582
00:40:40,410 --> 00:40:42,330
and feet made to stand on studs.
583
00:40:42,610 --> 00:40:47,830
A tiny character that let kids project
themselves into entire universes.
584
00:40:48,770 --> 00:40:52,290
Dory's now had heroes, and Lego had a
heartbeat.
585
00:40:52,990 --> 00:40:58,270
In the late 1970s, Lego was already run
by the third Christensen generation.
586
00:40:59,090 --> 00:41:05,070
Ole's grandson, Kjeld, began shaping the
company into the global powerhouse we
587
00:41:05,070 --> 00:41:06,070
know today.
588
00:41:06,310 --> 00:41:09,510
He did so by creating more sophisticated
lines.
589
00:41:10,140 --> 00:41:11,540
bringing in new universes.
590
00:41:12,240 --> 00:41:17,500
Technic brought mechanics, pirates
brought adventure, and trains brought
591
00:41:18,140 --> 00:41:22,920
By the late 20th century, the global toy
market was becoming massive.
592
00:41:23,560 --> 00:41:26,180
Tens of billions of dollars a year
worth.
593
00:41:26,780 --> 00:41:32,340
The United States spent more on toys
than any country on Earth, and China
594
00:41:32,340 --> 00:41:35,880
produced most of them, nearly three
quarters of the world total.
595
00:41:36,900 --> 00:41:38,640
In this booming landscape,
596
00:41:39,370 --> 00:41:41,290
Lego wasn't just another toy.
597
00:41:41,670 --> 00:41:43,450
It was the toy.
598
00:41:50,370 --> 00:41:53,990
By the late 1990s, Lego was flying high.
599
00:41:54,270 --> 00:41:59,410
It had become one of the most admired
companies in Europe. A creative
600
00:41:59,410 --> 00:42:02,270
built on the philosophy of imagination
and creation.
601
00:42:02,890 --> 00:42:06,830
We're not focused only on childhood, but
on something that has quite literally
602
00:42:06,830 --> 00:42:11,650
built us, pun intended, shaping our
personalities through Lego from an early
603
00:42:11,650 --> 00:42:16,150
age. Those memories became a foundation
we've kept building on over time.
604
00:42:18,470 --> 00:42:21,810
That's why exhibitions like this bring
us straight back to childhood.
605
00:42:22,010 --> 00:42:27,430
The audience here is very diverse, but
once people walk in, they all become the
606
00:42:27,430 --> 00:42:28,950
boy or girl they once were.
607
00:42:29,470 --> 00:42:31,870
But it's not all gold that glitters.
608
00:42:32,590 --> 00:42:35,890
Under the surface, something dangerous
was creeping in.
609
00:42:36,330 --> 00:42:38,710
The toy market was changing fast.
610
00:42:39,090 --> 00:42:43,010
Children were spending more and more
time with video games and early computer
611
00:42:43,010 --> 00:42:44,010
entertainment.
612
00:42:44,390 --> 00:42:49,030
Sony's PlayStation, Nintendo and
Hasbro's electronic toys were capturing
613
00:42:49,030 --> 00:42:55,570
attention. And Lego, determined not to
fall behind, expanded too far, too fast.
614
00:42:56,470 --> 00:43:01,870
Throughout the 1990s, Lego began
introducing thousands of completely new
615
00:43:02,520 --> 00:43:05,360
specialized parts that not only worked
in one set.
616
00:43:05,860 --> 00:43:12,280
A single year could bring more than 350
new designs, each of them costing tens
617
00:43:12,280 --> 00:43:16,020
of thousands of dollars in steel,
machining, and precision engineering.
618
00:43:17,480 --> 00:43:22,420
In 2002, LEGO had more than 12 ,000
active elements.
619
00:43:22,900 --> 00:43:28,420
The system of play, once simple and
universal, was becoming chaotic and
620
00:43:28,420 --> 00:43:29,420
difficult to follow.
621
00:43:30,060 --> 00:43:32,860
Lego also tried becoming a lifestyle
brand.
622
00:43:33,340 --> 00:43:35,220
New ventures appeared everywhere.
623
00:43:35,460 --> 00:43:41,260
Clothing lines, theme parks, home goods,
cartoon series, even watches and
624
00:43:41,260 --> 00:43:42,260
sneakers.
625
00:43:42,380 --> 00:43:47,820
But these projects drained resources
without reinforcing the core product,
626
00:43:47,820 --> 00:43:54,180
brick. And between 1999 and 2003, Lego
sales collapsed.
627
00:43:54,900 --> 00:43:59,640
During these years, The company went
from double -digit growth to struggling,
628
00:43:59,860 --> 00:44:05,460
and by 2003, the company was losing the
equivalent of $1 million a day.
629
00:44:06,160 --> 00:44:12,940
In a global toy market, still worth more
than $70 billion at the time, Lego,
630
00:44:13,200 --> 00:44:17,080
once the king of the toy box, was only a
few steps away from bankruptcy.
631
00:44:18,140 --> 00:44:21,760
Times were dark, but the spark of genius
appeared.
632
00:44:22,440 --> 00:44:23,640
In 1999,
633
00:44:24,490 --> 00:44:28,770
Lego signed its first ever licensing
deal with no other than Lucasfilm.
634
00:44:29,590 --> 00:44:31,210
The timing was perfect.
635
00:44:32,030 --> 00:44:35,410
Star Wars Episode I was about to hit
theaters.
636
00:44:36,050 --> 00:44:40,650
Hype was global, and the first Lego Star
Wars sets were instant hits.
637
00:44:41,330 --> 00:44:43,850
Not just with children, with adults.
638
00:44:44,630 --> 00:44:49,490
Collectors lined up to buy the X -Wing,
the Snowspeeder, or the first Millennium
639
00:44:49,490 --> 00:44:53,110
Falcon. For the first time in Lego's
history,
640
00:44:54,050 --> 00:44:58,650
Adults, including those in their 30s and
40s, were buying sets for themselves.
641
00:44:59,190 --> 00:45:01,830
The adult fan of LEGO community is
getting bigger.
642
00:45:02,110 --> 00:45:06,450
This is because LEGO is not the same as
it was 20 or 30 years ago.
643
00:45:08,350 --> 00:45:12,730
Before, LEGO was only seen as a toy to
play with when it was cold and you were
644
00:45:12,730 --> 00:45:13,730
indoors.
645
00:45:15,900 --> 00:45:20,800
Today, LEGO is much more than a toy.
It's used to create logos, to design
646
00:45:20,800 --> 00:45:25,240
dynamic group activities, and it also
represents a shift in how we see it.
647
00:45:26,020 --> 00:45:30,860
Years ago, if you said you played with
LEGO or built LEGO, you almost had to
648
00:45:30,860 --> 00:45:35,080
explain yourself that you were at home,
playing with little figures, making up
649
00:45:35,080 --> 00:45:39,780
battles. What we do today is different.
We come together as a community of
650
00:45:39,780 --> 00:45:42,060
adults, and LEGO has recognized that.
651
00:45:43,040 --> 00:45:47,840
That's why more and more products are
now designed specifically for adults,
652
00:45:47,840 --> 00:45:50,760
complex to build, and also more
expensive.
653
00:45:53,920 --> 00:45:58,620
This kid -old demographic would later
become one of LEGO's most profitable
654
00:45:58,620 --> 00:46:01,400
segments. More licenses followed.
655
00:46:01,640 --> 00:46:07,540
Harry Potter, Spider -Man, Batman,
Indiana Jones, and later the newest
656
00:46:07,540 --> 00:46:08,580
Cinematic Universe.
657
00:46:09,680 --> 00:46:15,300
Even though Lego learned that
storytelling sells, in 2004 losses were
658
00:46:15,300 --> 00:46:17,060
and survival was uncertain.
659
00:46:17,760 --> 00:46:20,960
And then the company made a radical
decision.
660
00:46:21,780 --> 00:46:27,080
For the first time in its history, the
company appointed a CEO from outside the
661
00:46:27,080 --> 00:46:28,080
Christensen family,
662
00:46:28,640 --> 00:46:33,460
JĂ¼rgen B. Knudstorp, a 35 -year -old
former McKinsey consultant.
663
00:46:34,100 --> 00:46:38,920
He was calm, precise, analytical, and...
664
00:46:39,130 --> 00:46:40,130
brutally honest.
665
00:46:40,510 --> 00:46:42,410
His diagnosis was simple.
666
00:46:42,930 --> 00:46:46,230
Lego had forgotten what made it Lego.
667
00:46:47,450 --> 00:46:53,130
Knut Storp cut the number of unique
elements by nearly 50%. He sold off the
668
00:46:53,130 --> 00:46:56,930
theme parks. He shut down unprofitable
production facilities.
669
00:46:57,450 --> 00:47:02,610
He centralized supply chains,
standardized materials, and brought back
670
00:47:02,610 --> 00:47:03,750
discipline to the system.
671
00:47:04,090 --> 00:47:07,190
But more important, he put the brakes
back.
672
00:47:07,520 --> 00:47:08,620
at the center of the company.
673
00:47:12,560 --> 00:47:15,240
This turnaround didn't happen in
isolation.
674
00:47:15,700 --> 00:47:19,500
The global toy industry was undergoing a
seismic change.
675
00:47:20,280 --> 00:47:25,560
China was producing nearly 75 % of the
world's toys, being the largest
676
00:47:25,560 --> 00:47:28,080
manufacturing consolidation in toy
history.
677
00:47:29,140 --> 00:47:33,960
Meanwhile, the United States had become
the single largest consumer, responsible
678
00:47:33,960 --> 00:47:36,680
for nearly one -third of the global toy
spending.
679
00:47:39,470 --> 00:47:44,810
By 2005, the toy market was worth close
to 80 billion US dollars.
680
00:47:45,250 --> 00:47:47,910
But it was brutally competitive as well.
681
00:47:49,130 --> 00:47:50,470
Seasonality was extreme.
682
00:47:50,750 --> 00:47:55,890
Nearly half of the annual toy sales
occurred in just three months, from
683
00:47:55,890 --> 00:47:56,890
to December.
684
00:47:57,850 --> 00:48:00,330
Companies lived or died by Christmas.
685
00:48:01,130 --> 00:48:03,510
Mattel was battling declining Barbie
sales.
686
00:48:03,990 --> 00:48:08,130
Hasbro was betting its future on
Transformers and board game
687
00:48:08,990 --> 00:48:12,410
electronics were eating market share
across every age group.
688
00:48:12,890 --> 00:48:19,590
In this scenario, LEGO rebuilt and
refocused, and then began
689
00:48:19,590 --> 00:48:21,470
rising above all of them.
690
00:48:26,870 --> 00:48:33,830
Between 2008 and 2015, LEGO entered a
new era, a renaissance driven
691
00:48:33,830 --> 00:48:40,760
by design, storytelling, digital
engagement, and adult passion the
692
00:48:40,760 --> 00:48:45,680
launched the ultimate collective series
producing the largest most detailed
693
00:48:45,680 --> 00:48:51,280
models in toy history lego architecture
brought landmarks to coffee tables
694
00:48:51,280 --> 00:48:57,240
modular buildings turned living rooms
into miniature cities and adults were no
695
00:48:57,240 --> 00:49:02,720
longer hiding their lego hobby but
embracing it my story with lego began in
696
00:49:02,720 --> 00:49:04,740
early 90s when i was a small child
697
00:49:06,400 --> 00:49:09,100
I started playing, but then I stopped
for a while.
698
00:49:10,140 --> 00:49:14,220
This is what most of us want to do when
we are teenagers, to do other hobbies
699
00:49:14,220 --> 00:49:16,020
and spend less time playing with LEGO.
700
00:49:18,860 --> 00:49:22,860
After that, when I was in my early 20s,
I started collecting LEGO.
701
00:49:23,780 --> 00:49:27,340
I met people from the Valencian
community and founded Valbrek.
702
00:49:29,080 --> 00:49:32,880
That eventually led me to a television
show where I took part and won.
703
00:49:33,470 --> 00:49:36,850
From there, companies began approaching
me to develop projects.
704
00:49:39,950 --> 00:49:42,890
At first, this hadn't even occurred to
me.
705
00:49:44,090 --> 00:49:48,690
But I started to see a growing demand,
whether it was building a corporate kit
706
00:49:48,690 --> 00:49:53,090
like a transport company's truck or even
a company's logistics headquarters.
707
00:49:54,010 --> 00:49:57,030
This market opened up a professional
path for me.
708
00:49:57,950 --> 00:50:02,350
It supports me financially, but more
importantly, it's deeply rewarding.
709
00:50:03,490 --> 00:50:07,370
Many of these projects challenge me to
build things I would never choose on my
710
00:50:07,370 --> 00:50:08,370
own.
711
00:50:08,690 --> 00:50:13,330
But once the challenge is set, build
this, my mind immediately starts
712
00:50:13,330 --> 00:50:18,510
ideas, figuring out how to shape them
and bring the project to life in the
713
00:50:18,510 --> 00:50:19,510
possible way.
714
00:50:23,350 --> 00:50:26,230
Seattle fans of LEGO skyrocketed.
715
00:50:26,650 --> 00:50:30,590
Forums, conventions, fan events,
engineering cups.
716
00:50:31,040 --> 00:50:32,640
a global movement emerged.
717
00:50:33,400 --> 00:50:38,440
By 2014, Adolf accounted for nearly one
-third of Lego sales.
718
00:50:39,220 --> 00:50:44,160
To anyone who thinks Lego is only for
children, I'd say, come and see the
719
00:50:44,160 --> 00:50:48,940
exhibition. See what we're capable of
creating with Lego pieces and how
720
00:50:48,940 --> 00:50:51,840
imagination develops in both children
and adults.
721
00:50:54,000 --> 00:50:58,900
Children work within certain limits and
see things differently, but adults...
722
00:50:59,360 --> 00:51:04,340
with a wider range of colors, shapes,
and ways to use the pieces, can explore
723
00:51:04,340 --> 00:51:05,700
just how much is possible.
724
00:51:07,500 --> 00:51:12,620
It was a radical shift in the economics
of play, and then came the cultural
725
00:51:12,620 --> 00:51:13,620
explosion.
726
00:51:14,160 --> 00:51:21,060
In 2014, the Lego movie shattered
expectations, earning nearly 500 million
727
00:51:21,060 --> 00:51:22,820
US dollars at the box office.
728
00:51:23,680 --> 00:51:27,380
What started as a toy was now pop
culture.
729
00:51:28,040 --> 00:51:33,900
By the mid -2010s, Lego was the world's
most valuable toy company, even
730
00:51:33,900 --> 00:51:37,040
surpassing Mattel, Hasbro, and every
other competitor.
731
00:51:38,040 --> 00:51:42,020
The brick that started it all was no
longer just a product.
732
00:51:42,320 --> 00:51:44,620
It was a global icon.
733
00:51:48,920 --> 00:51:53,580
The Lego Group stands today as one of
the most efficient, profitable, and
734
00:51:53,580 --> 00:51:55,860
culturally influential toy companies on
Earth.
735
00:51:56,380 --> 00:51:58,880
Its factories run with near -perfect
precision.
736
00:51:59,940 --> 00:52:03,900
Its design teams develop thousands of
prototypes each year.
737
00:52:04,320 --> 00:52:08,740
Its supply chain delivers billions of
bricks that must all fit together
738
00:52:08,740 --> 00:52:10,900
flawlessly across decades.
739
00:52:11,980 --> 00:52:18,960
In a global toy market worth roughly
$120 billion a year, LEGO commands
740
00:52:18,960 --> 00:52:22,060
nearly 9 % of all worldwide toy sales.
741
00:52:22,920 --> 00:52:28,420
No other toy brand, not Barbie, not
Marvel figures, not Nintendo
742
00:52:28,860 --> 00:52:33,700
maintains such consistency across
continents, genders, and generations.
743
00:52:34,560 --> 00:52:40,120
And unlike most toy companies that
outsource manufacturing, LEGO controls a
744
00:52:40,120 --> 00:52:45,040
significant portion of its own
production, with major hubs in Denmark,
745
00:52:45,260 --> 00:52:47,520
Mexico, China, and Czech Republic.
746
00:52:48,760 --> 00:52:54,670
This vertical integration reduces risk,
stabilizes quality, and protects one of
747
00:52:54,670 --> 00:52:58,450
the most important values in the
company's DNA, precision.
748
00:52:59,470 --> 00:53:04,470
Every LEGO brick must be manufactured
with tolerances thinner than a strand of
749
00:53:04,470 --> 00:53:08,110
hair. If the clutch is too tight, the
model breaks.
750
00:53:08,530 --> 00:53:11,310
If it's too loose, towers collapse.
751
00:53:12,090 --> 00:53:16,050
Across billions of pieces, perfection is
not an ambition.
752
00:53:16,410 --> 00:53:19,310
It is an engineering reality for LEGO.
753
00:53:20,840 --> 00:53:25,500
This level of detail gives the company
one of the highest brand trust ratings
754
00:53:25,500 --> 00:53:26,500
the world.
755
00:53:26,540 --> 00:53:28,460
Parents know the bricks will last.
756
00:53:29,000 --> 00:53:30,780
Adults know the sets will impress.
757
00:53:31,640 --> 00:53:34,240
Collectors know the investment will hold
value.
758
00:53:35,260 --> 00:53:40,640
The modern toy market is a machine of
impulse, tradition, celebration and
759
00:53:40,640 --> 00:53:41,640
nostalgia.
760
00:53:41,940 --> 00:53:48,080
In 2025, global spending on toys
approaches $120 billion.
761
00:53:49,020 --> 00:53:51,540
nearly double what it was two decades
earlier.
762
00:53:52,140 --> 00:53:57,000
The United States remains the world's
largest consumer, accounting for roughly
763
00:53:57,000 --> 00:53:58,520
one -third of global sales.
764
00:53:59,240 --> 00:54:05,440
A typical American household with
children may spend $300 to $400 per
765
00:54:05,440 --> 00:54:06,440
year on toys.
766
00:54:06,820 --> 00:54:09,700
This is more than five times the global
average.
767
00:54:11,040 --> 00:54:15,820
Europe forms the second largest bloc,
with strong purchasing power in Germany,
768
00:54:15,940 --> 00:54:17,660
the United Kingdom and France.
769
00:54:18,730 --> 00:54:24,050
Asia -Pacific is rapidly growing,
especially in China, South Korea, and
770
00:54:24,370 --> 00:54:28,050
driven by rising middle classes and
urban lifestyles.
771
00:54:28,870 --> 00:54:33,510
But the most important shift of the last
decade is not geographic.
772
00:54:33,770 --> 00:54:35,490
It is demographic.
773
00:54:41,910 --> 00:54:47,230
Adults, once considered irrelevant to
the toy industry, are now one of the
774
00:54:47,230 --> 00:54:48,440
most... powerful forces.
775
00:54:49,020 --> 00:54:53,880
This growing segment, commonly called
the kid -old market, now represents
776
00:54:53,880 --> 00:54:57,920
between 25 and 30 % of all toy purchases
worldwide.
777
00:54:59,300 --> 00:55:05,340
Adults buy toys for nostalgia, for
stress relief, for display, for
778
00:55:06,300 --> 00:55:09,220
Lego is the undisputed champion of this
movement.
779
00:55:09,700 --> 00:55:13,020
Unlike other hobbies, Lego gives me a
sense of calm.
780
00:55:16,610 --> 00:55:21,730
It lets me take ideas from my mind,
bring them to life, think them through,
781
00:55:21,730 --> 00:55:23,090
simply enjoy the process.
782
00:55:23,870 --> 00:55:29,450
Right now, I'm trying to instill that in
my son, to enjoy himself, to learn, to
783
00:55:29,450 --> 00:55:33,530
see colors and shapes, and to understand
that with imagination anything is
784
00:55:33,530 --> 00:55:34,530
possible.
785
00:55:42,880 --> 00:55:47,460
Regularly exceed prices of $300, $500,
even $800.
786
00:55:48,220 --> 00:55:50,240
They sell within hours.
787
00:55:50,500 --> 00:55:53,920
They hold aftermarket values like fine
collectibles.
788
00:55:54,280 --> 00:55:59,080
This adult segment has reshaped the
entire financial landscape of the
789
00:55:59,640 --> 00:56:03,060
It provides stability when children's
trends shift.
790
00:56:03,340 --> 00:56:06,440
It creates recurring revenue from loyal
fans.
791
00:56:06,840 --> 00:56:11,220
And it strengthens LEGO's position as a
cross -generational brand.
792
00:56:12,110 --> 00:56:14,590
something few toy companies have ever
achieved.
793
00:56:15,850 --> 00:56:19,110
Seasonality still dictates much of the
global toy market.
794
00:56:19,470 --> 00:56:24,530
Every year, nearly half of all toy sales
occur between October and December.
795
00:56:25,270 --> 00:56:31,010
Companies live or die by holiday
forecasting, inventory strategy, and
796
00:56:31,010 --> 00:56:34,170
timing. But LEGO has become the
exception.
797
00:56:34,930 --> 00:56:37,150
Adult collectors buy year -round.
798
00:56:37,840 --> 00:56:41,600
Digital experiences drive sales outside
the holiday season.
799
00:56:42,240 --> 00:56:46,120
Licensed launches create anticipation
even in slow quarters.
800
00:56:47,080 --> 00:56:51,920
Lego has effectively freed itself, or at
least partially, from the seasonal
801
00:56:51,920 --> 00:56:55,560
dependency that has defined the toy
industry for over a century.
802
00:56:56,260 --> 00:56:59,960
The brick is physical, tangible,
mechanical.
803
00:57:00,520 --> 00:57:05,600
But Lego's success in the 21st century
extends into the digital world.
804
00:57:06,000 --> 00:57:07,040
Star Wars.
805
00:57:07,530 --> 00:57:08,870
Batman, Marvel.
806
00:57:09,310 --> 00:57:13,630
These games defined an entire generation
of family -friendly titles.
807
00:57:14,050 --> 00:57:16,630
They sold tens of millions of copies.
808
00:57:16,910 --> 00:57:22,790
They introduced humor, storytelling, and
simplicity to a medium often dominated
809
00:57:22,790 --> 00:57:23,790
by complexity.
810
00:57:24,550 --> 00:57:30,010
For many children born after the year
2000, Lego was not discovered in a toy
811
00:57:30,010 --> 00:57:31,670
box, but on a screen.
812
00:57:32,230 --> 00:57:35,070
The cinematic leap came in 2014.
813
00:57:35,920 --> 00:57:40,920
when the Lego movie premiered to global
acclaim. It earned nearly half a billion
814
00:57:40,920 --> 00:57:47,060
dollars. Most importantly, it reframed
Lego as a cultural idea, not a product.
815
00:57:47,560 --> 00:57:52,920
The film taught a global audience that
creativity matters, that imperfection is
816
00:57:52,920 --> 00:57:58,200
beautiful, that building and rebuilding
are not failures, they are the process
817
00:57:58,200 --> 00:57:59,200
of play.
818
00:57:59,460 --> 00:58:01,820
Lego Batman expanded the concept.
819
00:58:02,410 --> 00:58:08,350
Lego Ninjago created an entirely new
generation of fans, and Lego Masters on
820
00:58:08,350 --> 00:58:11,550
television turned building into a
competitive art form.
821
00:58:12,170 --> 00:58:17,170
The brand had moved beyond toys, beyond
stories, beyond bricks.
822
00:58:17,490 --> 00:58:21,770
It had become part of the cultural
grammar of the 21st century.
823
00:58:27,450 --> 00:58:32,760
Long before STEM became a global
movement, Lego was already teaching
824
00:58:32,760 --> 00:58:34,300
how to think like engineers.
825
00:58:34,880 --> 00:58:41,080
In the 1990s, Lego Mindstorms introduced
programmable robotics to students
826
00:58:41,080 --> 00:58:42,080
around the world.
827
00:58:42,740 --> 00:58:49,220
Later sets, WeDo, Spike Prime, Boost,
brought coding, sensors, and motors into
828
00:58:49,220 --> 00:58:50,260
classrooms and homes.
829
00:58:50,840 --> 00:58:56,880
Today, Lego Education works with
governments, schools, and universities
830
00:58:56,880 --> 00:58:58,940
hands -on learning to millions of
students.
831
00:58:59,950 --> 00:59:01,270
The philosophy is simple.
832
00:59:01,670 --> 00:59:03,490
Children learn best through play.
833
00:59:03,990 --> 00:59:08,850
This approach shapes future engineers,
designers, and problem solvers.
834
00:59:09,330 --> 00:59:12,750
It helps children experiment in ways
that textbooks cannot.
835
00:59:13,350 --> 00:59:18,350
And it continues Oleg Kirk's belief that
play is not a distraction from
836
00:59:18,350 --> 00:59:20,610
learning, but the foundation of it.
837
00:59:22,320 --> 00:59:26,520
In a world increasingly focused on
sustainability... From my experience,
838
00:59:26,520 --> 00:59:30,820
makes LEGO different from other
construction toys is its growing
839
00:59:30,820 --> 00:59:35,760
inclusion. In recent years, LEGO has
actively embraced people with different
840
00:59:35,760 --> 00:59:40,220
abilities, for example, by including
figures in wheelchairs and releasing
841
00:59:40,220 --> 00:59:41,220
in Braille.
842
00:59:41,520 --> 00:59:45,080
These are things most other brands
simply don't offer, but LEGO does.
843
00:59:46,320 --> 00:59:49,520
In addition, LEGO is strongly committed
to the environment.
844
00:59:50,420 --> 00:59:54,420
They're producing more and more pieces
using recycled plastic and replacing
845
00:59:54,420 --> 00:59:58,800
plastic packaging with paper to reduce
weight, something other brands simply
846
00:59:58,800 --> 00:59:59,880
don't do.
847
01:00:01,640 --> 01:00:03,800
LEGO faces a unique challenge.
848
01:00:04,440 --> 01:00:06,500
Its bricks are made to last forever.
849
01:00:07,200 --> 01:00:11,460
A blessing for creativity, but a concern
in an era of plastic waste.
850
01:00:11,980 --> 01:00:17,140
In response, Lego has invested hundreds
of millions of dollars into developing
851
01:00:17,140 --> 01:00:18,520
more sustainable materials.
852
01:00:19,420 --> 01:00:23,460
Plant -based polyethylene is already
used for leaves and trees.
853
01:00:24,440 --> 01:00:27,460
Recycled PET prototypes continue to
advance.
854
01:00:28,660 --> 01:00:31,440
Recycled PET prototypes continue to
advance.
855
01:00:32,330 --> 01:00:38,490
New polymer engineering aims to create
bricks as durable as ABS, without the
856
01:00:38,490 --> 01:00:39,490
environmental cost.
857
01:00:40,330 --> 01:00:42,810
This transition is not simple.
858
01:00:43,370 --> 01:00:46,630
The Lego brick must interlock with
perfect precision.
859
01:00:47,050 --> 01:00:51,290
A fraction of a millimeter can make the
difference between wonder and
860
01:00:51,290 --> 01:00:53,950
frustration. But the mission is clear.
861
01:00:54,550 --> 01:00:59,170
A toy that lasts forever should also
protect the world it is played in.
862
01:00:59,890 --> 01:01:01,470
Play is not a luxury.
863
01:01:02,160 --> 01:01:03,160
Play is exploration.
864
01:01:03,660 --> 01:01:05,160
Play is curiosity.
865
01:01:06,020 --> 01:01:09,140
Play is the earliest form of human
creativity.
866
01:01:10,120 --> 01:01:15,420
From wooden ducks in a small Danish
workshop, to interlocking bricks that
867
01:01:15,420 --> 01:01:21,800
generation, to movies, video games,
robotics, and global fan community,
868
01:01:22,480 --> 01:01:25,160
LEGO has remained loyal to a simple
truth.
869
01:01:25,440 --> 01:01:27,620
When we build, we grow.
870
01:01:27,860 --> 01:01:30,300
When we imagine, we expand.
871
01:01:31,080 --> 01:01:34,000
When we play, we become more human.
872
01:01:40,160 --> 01:01:45,300
More than a century ago, a carpenter
rebuilt his workshop after a fire.
873
01:01:45,680 --> 01:01:47,880
He rebuilt it again after another.
874
01:01:48,700 --> 01:01:53,660
Not because it was easy, but because he
believed in the power of making things.
875
01:01:54,080 --> 01:01:55,660
And in the power of play.
876
01:01:56,560 --> 01:02:00,360
Today, billions of creations have risen
from that belief.
877
01:02:00,990 --> 01:02:02,850
Cities. Castles.
878
01:02:03,310 --> 01:02:04,310
Bayships.
879
01:02:04,950 --> 01:02:09,050
Dreams that exist nowhere else but in
the minds of the people who build them.
880
01:02:10,110 --> 01:02:12,110
Lego is not perfect.
881
01:02:12,450 --> 01:02:16,730
It has faced crises, challenges, and
impossible decisions.
882
01:02:17,250 --> 01:02:23,390
But it endures. Through war, through
technological revolutions, through
883
01:02:23,390 --> 01:02:27,690
storms. The car's imagination always
endures.
884
01:02:28,490 --> 01:02:33,130
And as long as there are hands reaching
the brick, as long as there are minds
885
01:02:33,130 --> 01:02:37,890
ready to create, the legacy of Ola Kirk
-Christensen will continue.
886
01:02:39,070 --> 01:02:42,370
Every dream starts with a single piece.
887
01:04:11,180 --> 01:04:14,320
Jensen Huang, the software moat.
888
01:04:15,140 --> 01:04:17,460
June 18th, 2024.
889
01:04:18,460 --> 01:04:23,220
For a brief historic moment, the world
had a new king.
890
01:04:24,440 --> 01:04:31,240
Jensen Huang, the co -founder and CEO of
NVIDIA, stood at the peak of a $3 .4
891
01:04:31,240 --> 01:04:32,500
trillion mountain.
892
01:04:34,600 --> 01:04:37,860
Analysts whispered that he wasn't just
leading a company.
893
01:04:38,640 --> 01:04:43,860
He was leading the first entity destined
for a $4 trillion valuation.
894
01:04:46,140 --> 01:04:51,180
But to understand the man in the leather
jacket, you cannot look at the triumph.
895
01:04:51,460 --> 01:04:53,700
You must look at the fear.
896
01:04:54,600 --> 01:05:01,300
Behind the 250 % revenue jumps and the
sold -out H100 backlogs
897
01:05:01,300 --> 01:05:04,620
lies a leader obsessed with the cyclical
trap.
898
01:05:05,930 --> 01:05:11,770
In a 60 -year history of semiconductors,
giants like Texas Instruments, Intel,
899
01:05:12,050 --> 01:05:17,370
and Samsung have all held the crown only
to see it slip away.
900
01:05:19,030 --> 01:05:20,850
Jensen's mission is simple.
901
01:05:21,350 --> 01:05:24,610
Break the cycle before it breaks him.
902
01:05:26,910 --> 01:05:29,050
Flashback to September 1996.
903
01:05:29,550 --> 01:05:34,290
The golden era of the Internet is
dawning for everyone else.
904
01:05:34,640 --> 01:05:37,300
But for NVIDIA, it is a death knell.
905
01:05:38,660 --> 01:05:45,200
Their first chip, the NV1, is a
technical ghost, rejected by Microsoft's
906
01:05:45,200 --> 01:05:46,200
DirectX.
907
01:05:47,240 --> 01:05:53,020
Jensen stands before a dwindling team
and delivers the most famous mantra in
908
01:05:53,020 --> 01:05:54,160
Silicon Valley history.
909
01:05:55,100 --> 01:05:58,680
We have exactly 30 days of oxygen left.
910
01:05:59,020 --> 01:06:01,580
We are 30 days from bankruptcy.
911
01:06:02,990 --> 01:06:07,910
How does a man go from cleaning toilets
in a Kentucky reform school to
912
01:06:07,910 --> 01:06:11,450
controlling the foundational layer of
the global AI economy?
913
01:06:12,730 --> 01:06:18,110
From a red leather booth at a Denny's to
a legal showdown in the U .S. Supreme
914
01:06:18,110 --> 01:06:21,970
Court over the very intellectual honesty
of his empire.
915
01:06:22,750 --> 01:06:26,130
This is not just a story of silicon and
software.
916
01:06:27,180 --> 01:06:32,140
This is the chronicle of the man who
decided to manufacture intelligence
917
01:06:32,880 --> 01:06:37,920
This is Jensen Huang, the architect of
the digital brain.
918
01:06:39,840 --> 01:06:46,800
Chapter 1 Forged in the Chaos Nvidia was
not
919
01:06:46,800 --> 01:06:48,060
born from abundance.
920
01:06:48,520 --> 01:06:52,140
Its DNA was forged in the raw fires of
survival.
921
01:06:53,540 --> 01:06:59,420
Jensen Huang arrived in the United
States as a young migrant, but his
922
01:06:59,420 --> 01:07:01,920
destination wasn't an elite prep school.
923
01:07:02,540 --> 01:07:08,120
Due to a clerical misunderstanding by
his parents, he was sent to Oneida
924
01:07:08,120 --> 01:07:14,460
Institute in rural Kentucky, a place
that, at the time, functioned more as a
925
01:07:14,460 --> 01:07:17,840
reformed school for troubled youth than
a traditional academy.
926
01:07:18,740 --> 01:07:24,060
At nine years old, The future CEO of one
of the world's most valuable companies
927
01:07:24,060 --> 01:07:25,100
wasn't coding.
928
01:07:25,520 --> 01:07:30,680
He was cleaning the toilets of 150
teenagers every single afternoon.
929
01:07:31,920 --> 01:07:37,040
In his personal transcript, Jensen
reflects on this with a chilling
930
01:07:37,480 --> 01:07:38,800
I didn't complain.
931
01:07:39,060 --> 01:07:41,160
I just learned to work hard.
932
01:07:41,940 --> 01:07:47,020
That boy learned the first law of
accelerated computing decades before it
933
01:07:47,020 --> 01:07:53,060
existed. For a system to be efficient,
it must be able to process chaos under
934
01:07:53,060 --> 01:07:54,120
extreme pressure.
935
01:07:56,020 --> 01:08:01,820
By 15, Jensen was the most efficient
dishwasher and waiter at a Denny's in
936
01:08:01,820 --> 01:08:02,819
Portland.
937
01:08:02,820 --> 01:08:08,380
I was incredibly shy, he admits, but the
chaos of the kitchen forced me out of
938
01:08:08,380 --> 01:08:09,380
my shell.
939
01:08:10,020 --> 01:08:16,880
It is no coincidence that NVIDIA was
founded in 1993 inside a booth at that
940
01:08:16,880 --> 01:08:18,120
same restaurant chain.
941
01:08:19,020 --> 01:08:23,600
While the world saw the dawn of the PC
as an office tool for spreadsheets,
942
01:08:23,840 --> 01:08:29,260
Jensen, Chris Malachowski, and Curtis
Priam saw a fatal weakness.
943
01:08:31,319 --> 01:08:37,399
In 1993, Intel's general -purpose CPU
was hitting a physical wall.
944
01:08:38,020 --> 01:08:43,300
If the future of computing was visual
and immersive, the traditional serial
945
01:08:43,300 --> 01:08:46,600
architecture would become the bottleneck
of human progress.
946
01:08:47,819 --> 01:08:54,000
With only $40 ,000 in startup capital,
they founded NVIDIA to chase a ghost,
947
01:08:54,260 --> 01:08:55,620
accelerated computing.
948
01:08:56,680 --> 01:09:01,340
They bet on a market the rest of the
industry dismissed as a niche for toys,
949
01:09:01,660 --> 01:09:02,700
video games.
950
01:09:03,300 --> 01:09:08,120
But Thor Jensen, video games were the
ultimate technological flywheel.
951
01:09:08,740 --> 01:09:13,500
He knew that if you could master the
massive, real -time rendering of pixels,
952
01:09:13,779 --> 01:09:16,600
you could eventually simulate reality
itself.
953
01:09:18,250 --> 01:09:23,090
But before they could reach that glory,
they had to survive their first massive
954
01:09:23,090 --> 01:09:25,430
technical abyss, the NV1.
955
01:09:34,550 --> 01:09:41,529
By 1995, NVIDIA's first massive bet, the
NV1 chip, was ready
956
01:09:41,529 --> 01:09:42,550
to conquer the market.
957
01:09:42,950 --> 01:09:46,529
But Jensen Huang had made a catastrophic
technical gamble.
958
01:09:47,850 --> 01:09:52,710
At the time when the industry was
undecided, he bet on quadratic texture
959
01:09:52,710 --> 01:09:57,030
mapping, a method that used curved
surfaces to create 3D images.
960
01:09:58,070 --> 01:10:02,490
It was mathematically intelligent, but
it was a lonely path.
961
01:10:03,370 --> 01:10:08,090
The industry hammer dropped when
Microsoft released its first DirectX
962
01:10:08,450 --> 01:10:14,210
Microsoft chose triangles, not quads, as
the universal language for PC gaming.
963
01:10:15,400 --> 01:10:19,580
This decision rendered NVIDIA's
technology instantly obsolete.
964
01:10:20,440 --> 01:10:24,620
The NV1 wasn't just a failure, it was a
dead end.
965
01:10:25,040 --> 01:10:30,940
The company was bleeding cash, and as
Jensen famously put it, they were
966
01:10:30,940 --> 01:10:33,420
at exactly 30 days of oxygen.
967
01:10:36,420 --> 01:10:41,480
NVIDIA's only lifeline was a strategic
contract with the Japanese giant Sega to
968
01:10:41,480 --> 01:10:43,800
build the graphics engine for the Sega
Saturn.
969
01:10:44,750 --> 01:10:47,890
but Jensen was trapped in a moral and
business dilemma.
970
01:10:48,890 --> 01:10:53,830
He knew that if they continued building
the chip for Sega using NVIDIA's flawed
971
01:10:53,830 --> 01:10:59,890
quad technology, Sega would lose the
console war to Sony's PlayStation, and
972
01:10:59,890 --> 01:11:02,050
NVIDIA would eventually perish anyway.
973
01:11:02,750 --> 01:11:07,690
In an act of intellectual honesty, or as
many at the time called corporate
974
01:11:07,690 --> 01:11:08,690
suicide,
975
01:11:09,130 --> 01:11:10,290
Jensen flew to Japan.
976
01:11:10,970 --> 01:11:17,600
He sat across from Shoichiro Irimajiri,
the CEO of Sega, and told him the brutal
977
01:11:17,600 --> 01:11:21,120
truth. Our technology is on the wrong
path.
978
01:11:21,420 --> 01:11:25,480
If we finish this project, you will
produce an inferior product.
979
01:11:27,100 --> 01:11:29,080
Jensen asked for the impossible.
980
01:11:29,620 --> 01:11:34,600
He asked Sega to terminate the contract,
but to pay the remaining $5 million
981
01:11:34,600 --> 01:11:40,520
anyway. If you don't pay us, Jensen
pleaded, NVIDIA will cease to exist
982
01:11:40,520 --> 01:11:41,520
tomorrow.
983
01:11:42,470 --> 01:11:46,490
To the astonishment of the tech world,
Irimajiri -san agreed.
984
01:11:47,070 --> 01:11:49,070
He didn't pay for a working chip.
985
01:11:49,330 --> 01:11:51,310
He paid for Jensen's integrity.
986
01:11:53,090 --> 01:11:57,530
That $5 million was the most expensive
oxygen in history.
987
01:11:58,490 --> 01:12:02,370
To make it last, Jensen had to fire half
of his workforce.
988
01:12:03,030 --> 01:12:06,730
These weren't just employees. They were
friends who had shared the Denny's
989
01:12:06,730 --> 01:12:07,730
dream.
990
01:12:07,920 --> 01:12:12,120
This trauma institutionalized a
permanent state of emergency at NVIDIA.
991
01:12:13,520 --> 01:12:18,980
With the remaining team, Jensen funneled
every cent into the Revo 128.
992
01:12:20,040 --> 01:12:24,740
They abandoned quarks and embraced
Microsoft's triangles with a vengeance.
993
01:12:25,240 --> 01:12:31,920
When it launched in 1997, the Revo 128
was 400 % faster
994
01:12:31,920 --> 01:12:33,660
than anything else on the market.
995
01:12:34,730 --> 01:12:37,130
It was a dive catch of epic proportions.
996
01:12:37,990 --> 01:12:40,090
NVIDIA was no longer just a survivor.
997
01:12:40,410 --> 01:12:42,470
It had become a hunter.
998
01:12:43,650 --> 01:12:49,290
But as Jensen looked at the horizon, he
saw 70 rivals waiting to kill him.
999
01:12:49,590 --> 01:12:51,810
The war was only beginning.
1000
01:12:59,310 --> 01:13:03,190
The success of the Reaver 128 was a dive
catch.
1001
01:13:03,800 --> 01:13:06,780
but it placed NVIDIA in the middle of a
slaughterhouse.
1002
01:13:07,600 --> 01:13:13,480
By 1997, there were over 70 companies
fighting for the soul of the 3D graphics
1003
01:13:13,480 --> 01:13:14,480
market.
1004
01:13:14,920 --> 01:13:19,080
It was a commodity war where price
-cutting was the only weapon for most.
1005
01:13:20,240 --> 01:13:25,180
Jensen Huang realized that if NVIDIA
played by the industry's rules, they
1006
01:13:25,180 --> 01:13:26,600
eventually be ground in dust.
1007
01:13:28,220 --> 01:13:30,700
He decided to break the laws of time.
1008
01:13:31,790 --> 01:13:37,250
The industry standard for developing a
new chip was 18 to 24 months, following
1009
01:13:37,250 --> 01:13:38,790
the steady beat of Moore's Law.
1010
01:13:39,790 --> 01:13:43,710
Jensen gathered his engineers and
imposed a suicidal mandate.
1011
01:13:44,350 --> 01:13:49,850
NVIDIA would release a brand new,
groundbreaking architecture every six
1012
01:13:51,730 --> 01:13:54,510
It was a strategy of relentless
execution.
1013
01:13:55,230 --> 01:14:02,170
By the time a competitor like 3DFX or S3
could react to one NVIDIA chip, Jensen
1014
01:14:02,170 --> 01:14:03,870
had already launched two more.
1015
01:14:04,910 --> 01:14:08,650
This forced the competition into a
permanent state of obsolescence.
1016
01:14:09,330 --> 01:14:15,070
To achieve this, NVIDIA had to reinvent
its internal engineering, running
1017
01:14:15,070 --> 01:14:19,730
multiple design teams in parallel, a
massive financial risk that pushed the
1018
01:14:19,730 --> 01:14:21,970
company to the edge of its operational
capacity.
1019
01:14:22,530 --> 01:14:26,590
In 1999, the war reached its climax.
1020
01:14:27,330 --> 01:14:30,110
NVIDIA released the GeForce 256.
1021
01:14:32,200 --> 01:14:35,240
Jensen didn't just market it as a faster
card.
1022
01:14:35,500 --> 01:14:38,640
He coined a term that would redefine
computing history.
1023
01:14:39,140 --> 01:14:40,240
The GPU.
1024
01:14:41,080 --> 01:14:42,500
Graphics Processing Unit.
1025
01:14:43,140 --> 01:14:44,760
This wasn't just branding.
1026
01:14:45,520 --> 01:14:52,520
Technically, the G4 -256 moved the
transform and writing calculations, the
1027
01:14:52,520 --> 01:14:57,400
heavy mathematical lifting of 3D, off
the CPU and onto the chip itself.
1028
01:14:57,960 --> 01:15:00,240
It was the birth of a new era.
1029
01:15:01,390 --> 01:15:06,390
This performance leap was so massive
that NVIDIA secured the prestigious
1030
01:15:06,390 --> 01:15:12,090
to the original Microsoft Xbox,
receiving a crucial $200 million
1031
01:15:13,910 --> 01:15:15,910
The six -month cycle worked.
1032
01:15:16,270 --> 01:15:22,670
By the early 2000s, the 70 competitors
had been reduced to just two, NVIDIA and
1033
01:15:22,670 --> 01:15:23,670
ATI.
1034
01:15:24,010 --> 01:15:29,830
In a final act of dominance, NVIDIA
acquired the assets of its former idol
1035
01:15:29,830 --> 01:15:32,600
arch -rival, 3DFX in 2000.
1036
01:15:33,860 --> 01:15:35,860
Jensen had cleared the board.
1037
01:15:36,080 --> 01:15:39,140
He was the undisputed king of gaming.
1038
01:15:39,680 --> 01:15:44,720
But at the very moment of his greatest
triumph, he began to look at the high
1039
01:15:44,720 --> 01:15:46,100
-performance computing market.
1040
01:15:46,640 --> 01:15:51,540
He realized that the GPU's massive
parallel map could do more than just
1041
01:15:51,540 --> 01:15:55,400
pixels. It could solve the world's most
complex problems.
1042
01:15:56,000 --> 01:16:00,200
The Thieves of Cuda and the $10 billion
gamble.
1043
01:16:00,730 --> 01:16:01,730
were being planted.
1044
01:16:09,070 --> 01:16:14,330
By 2006, NVIDIA was the undisputed king
of the gaming world.
1045
01:16:14,810 --> 01:16:16,950
But Jensen Huang was restless.
1046
01:16:17,270 --> 01:16:21,770
He realized that the same parallel
processing power that rendered pixels
1047
01:16:21,770 --> 01:16:25,990
World of Warcraft could be used to solve
the world's most complex mathematical
1048
01:16:25,990 --> 01:16:26,990
problems.
1049
01:16:27,730 --> 01:16:29,450
He launched CUDA.
1050
01:16:30,080 --> 01:16:32,180
Compute Unified Device Architecture.
1051
01:16:32,720 --> 01:16:36,580
It was a declaration of war against the
CPU -centric world.
1052
01:16:37,440 --> 01:16:39,840
The goal was simple, yet insane.
1053
01:16:40,420 --> 01:16:44,840
Transform every NVIDIA GPU into a
general -purpose supercomputer.
1054
01:16:46,000 --> 01:16:48,880
But this decision came with a staggering
cost.
1055
01:16:49,680 --> 01:16:55,400
Jensen mandated that every single GPU
NVIDIA manufactured, from the high -end
1056
01:16:55,400 --> 01:17:00,010
workstation cards to the cheapest laptop
chips, must include the extra
1057
01:17:00,010 --> 01:17:02,950
transistors and hardware logic to
support CUDA.
1058
01:17:04,130 --> 01:17:06,310
Wall Street was horrified.
1059
01:17:07,710 --> 01:17:14,470
For nearly a decade, NVIDIA spent
billions, estimated at over $10 billion
1060
01:17:14,470 --> 01:17:19,150
cumulative R &D, on a software platform
that almost no one was using.
1061
01:17:20,130 --> 01:17:25,450
Profit margins, which once sat
comfortably high, were sacrificed at the
1062
01:17:25,450 --> 01:17:26,450
this vision.
1063
01:17:27,080 --> 01:17:31,320
analysts mocked the strategy, calling it
the bridge to nowhere.
1064
01:17:32,040 --> 01:17:38,060
During the 2008 financial crisis,
NVIDIA's market cap plummeted, and the
1065
01:17:38,060 --> 01:17:40,520
was once again staring into the abyss.
1066
01:17:41,880 --> 01:17:44,340
But Jensen wasn't just building
hardware.
1067
01:17:44,580 --> 01:17:47,200
He was building a software moat.
1068
01:17:47,540 --> 01:17:52,840
He sent NVIDIA engineers to universities
around the world, helping professors
1069
01:17:52,840 --> 01:17:55,440
teach parallel programming using CUDA.
1070
01:17:56,560 --> 01:17:57,980
He was ceding the ground.
1071
01:17:58,580 --> 01:18:04,860
While competitors like Intel and AMD
focused on making faster chips, Jensen
1072
01:18:04,860 --> 01:18:06,280
building an entire language.
1073
01:18:07,120 --> 01:18:10,720
By the time a developer learned CUDA,
they were locked in.
1074
01:18:11,400 --> 01:18:14,860
Switching to a competitor wouldn't just
mean buying a new chip.
1075
01:18:15,120 --> 01:18:18,340
It would mean rewriting millions of
lines of code.
1076
01:18:19,820 --> 01:18:24,820
Year after year, Jensen defended CUDA in
boardrooms and earning calls.
1077
01:18:25,610 --> 01:18:30,730
He practiced what he calls long -term
commitment to a vision, even when the
1078
01:18:30,730 --> 01:18:31,830
didn't yet support it.
1079
01:18:32,590 --> 01:18:35,870
He was waiting for a killer app for
accelerated computing.
1080
01:18:36,830 --> 01:18:41,230
He didn't know what it would be, but he
knew that if data grew exponentially,
1081
01:18:41,770 --> 01:18:45,170
the serial processing of the CPU would
eventually fail.
1082
01:18:46,190 --> 01:18:49,510
The silence of the cuda winter was about
to be broken.
1083
01:18:50,470 --> 01:18:56,700
In a lab at the University of Toronto, A
PhD student named Alex Krusevsky was
1084
01:18:56,700 --> 01:19:01,200
about to feed a neural network called
AlexNet into those NVIDIA GPUs.
1085
01:19:02,020 --> 01:19:07,800
The big bang of artificial intelligence
was seconds away, and Jensen Huang was
1086
01:19:07,800 --> 01:19:12,020
the only person on Earth who had already
built the engine to power it.
1087
01:19:19,840 --> 01:19:21,520
The year was 2012.
1088
01:19:22,440 --> 01:19:27,300
While the world saw just another
academic competition, Jensen Huang saw
1089
01:19:27,300 --> 01:19:29,720
spark that would ignite a global
revolution.
1090
01:19:30,420 --> 01:19:37,400
A neural network called AlexNet, powered
by NVIDIA GPUs, crushed the competition
1091
01:19:37,400 --> 01:19:38,640
in image recognition.
1092
01:19:39,120 --> 01:19:42,100
It was the big bang of deep learning.
1093
01:19:43,000 --> 01:19:47,260
Jensen didn't just celebrate, he pivoted
the entire company.
1094
01:19:47,720 --> 01:19:53,180
He realized that the $10 billion gamble
on CUDA but finally found its soul,
1095
01:19:53,440 --> 01:19:54,960
artificial intelligence.
1096
01:19:56,180 --> 01:20:01,520
This pivot transformed NVIDIA from a
graphics card company into the
1097
01:20:01,520 --> 01:20:04,540
engine of the world's most powerful data
center.
1098
01:20:06,160 --> 01:20:08,880
Jensen's vision was no longer about
drawing pixels.
1099
01:20:09,120 --> 01:20:11,580
It was about generative AI.
1100
01:20:12,340 --> 01:20:19,080
By the time ChatGPT launched in late
2022, NVIDIA didn't just have a head
1101
01:20:19,740 --> 01:20:21,900
They were the only ones at the starting
line.
1102
01:20:24,380 --> 01:20:27,560
Jensen acted with a speed that terrified
his competitors.
1103
01:20:27,960 --> 01:20:32,940
He didn't just wait for orders. He re
-engineered NVIDIA's entire roadmap.
1104
01:20:33,780 --> 01:20:40,540
In 2016, he personally delivered the
first NVIDIA DGX -1, the world's
1105
01:20:40,540 --> 01:20:46,040
first AI supercomputer in a box, to a
then -small non -profit called OpenAI.
1106
01:20:46,520 --> 01:20:47,900
He was very clear.
1107
01:20:48,570 --> 01:20:50,270
This will change the world.
1108
01:20:53,510 --> 01:20:56,210
Technically, this period was about
specialization.
1109
01:20:56,970 --> 01:20:59,910
NVIDIA began adding tensor cores to its
chips.
1110
01:21:00,410 --> 01:21:03,990
These weren't for graphics. They were
designed specifically for the deep
1111
01:21:03,990 --> 01:21:06,330
learning math that powers neural
networks.
1112
01:21:07,510 --> 01:21:12,130
NVIDIA was no longer just making a
faster graphics card. It was building a
1113
01:21:12,130 --> 01:21:13,130
specialized brain.
1114
01:21:13,970 --> 01:21:17,170
By 2017, the momentum was unstoppable.
1115
01:21:18,090 --> 01:21:22,810
Every major tech giant was building AI
labs, and they all had one thing in
1116
01:21:22,810 --> 01:21:25,370
common. They were built on NVIDIA's
stack.
1117
01:21:26,390 --> 01:21:29,930
This was the era when the software moat
became a fortress.
1118
01:21:30,810 --> 01:21:34,810
Thousands of researchers were now
writing their doctoral thesis on CUDA.
1119
01:21:36,070 --> 01:21:40,630
If a competitor wanted to challenge
NVIDIA, they wouldn't just need a better
1120
01:21:40,630 --> 01:21:45,470
chip. They would have to convince the
world's brightest minds to forget
1121
01:21:45,470 --> 01:21:46,970
everything they had learned.
1122
01:21:48,430 --> 01:21:52,730
But as the AI revolution took hold, an
unexpected shadow emerged.
1123
01:21:53,210 --> 01:21:58,370
A new craze called Bitcoin and Ethereum
began to consume NVIDIA's supply.
1124
01:21:59,330 --> 01:22:04,910
To the world, NVIDIA looked invincible,
but internally, Jensen was wary.
1125
01:22:05,530 --> 01:22:08,390
Jensen knew that every bubble eventually
burst.
1126
01:22:09,190 --> 01:22:14,350
This period of explosive, accidental
growth from crypto miners was creating a
1127
01:22:14,350 --> 01:22:16,270
shadow over the company's true mission.
1128
01:22:17,320 --> 01:22:21,560
setting the stage for a high -stakes
legal battle over corporate transparency
1129
01:22:21,560 --> 01:22:25,820
and a financial storm that would test
the very foundations of its leadership.
1130
01:22:31,820 --> 01:22:38,220
In 2018, NVIDIA was riding a wave that
looked like a miracle, but felt like a
1131
01:22:38,220 --> 01:22:43,380
mirage. The explosion of cryptocurrency
mining had created an insatiable hunger
1132
01:22:43,380 --> 01:22:44,560
for G4 cards.
1133
01:22:45,960 --> 01:22:50,140
To the outside world, NVIDIA's revenue
was reaching historic heights.
1134
01:22:50,540 --> 01:22:54,920
However, beneath the surface, a
dangerous ambiguity was growing.
1135
01:22:55,920 --> 01:23:00,580
Jensen Huang insisted that the growth
was driven by a gaining renaissance, but
1136
01:23:00,580 --> 01:23:02,100
the reality was more volatile.
1137
01:23:02,680 --> 01:23:06,260
The mirage evaporated in late 2018.
1138
01:23:07,000 --> 01:23:12,240
The crypto winter arrived, and the
demand for mining chips vanished
1139
01:23:13,660 --> 01:23:17,860
NVIDIA was left with a massive surplus
of inventory, and the market's reaction
1140
01:23:17,860 --> 01:23:18,860
was brutal.
1141
01:23:18,980 --> 01:23:23,420
The company's stock price plummeted by
28 % in a single day.
1142
01:23:24,560 --> 01:23:29,340
The invincible architect of AI was
suddenly facing a crisis of credibility.
1143
01:23:31,140 --> 01:23:34,940
This financial collapse ignited a high
-stakes legal battle that would
1144
01:23:34,940 --> 01:23:37,560
eventually reach the steps of the US
Supreme Court.
1145
01:23:38,560 --> 01:23:42,240
A group of institutional investors filed
a class -action lawsuit.
1146
01:23:42,920 --> 01:23:46,340
alleging that Jensen Huang had
deliberately misled the market.
1147
01:23:46,840 --> 01:23:50,560
The core of the case rested on a single,
devastating word.
1148
01:23:51,700 --> 01:23:54,300
Cienta. The intent to deceive.
1149
01:23:55,340 --> 01:23:57,140
The accusation was sharp.
1150
01:23:57,520 --> 01:24:01,780
Investors claimed that internal Nvidia
reports clearly showed over a billion
1151
01:24:01,780 --> 01:24:06,480
dollars in revenue attributed to gamers
was actually coming from crypto miners.
1152
01:24:07,380 --> 01:24:10,900
Jensen fought back, defending his
intellectual honesty.
1153
01:24:11,520 --> 01:24:15,260
and arguing that the expert opinions
used against him were nothing more than
1154
01:24:15,260 --> 01:24:16,260
speculation.
1155
01:24:17,000 --> 01:24:19,360
This battle, known as Petition No.
1156
01:24:19,580 --> 01:24:26,480
23 -970, became a landmark moment for
Silicon Valley, questioning how much a
1157
01:24:26,480 --> 01:24:30,600
must disclose when their technology
accidentally conquered the market they
1158
01:24:30,600 --> 01:24:31,840
didn't intend to lead.
1159
01:24:33,560 --> 01:24:38,220
While lawyers argued in Washington,
Jensen was already looking past the
1160
01:24:38,220 --> 01:24:43,100
wreckage. He didn't let the legal storm
or the inventory crisis slow down his
1161
01:24:43,100 --> 01:24:44,100
ultimate plan.
1162
01:24:44,500 --> 01:24:49,720
He doubled down on the data center,
acquiring Mellanox for $7 billion to
1163
01:24:49,720 --> 01:24:51,660
the highways between his chips.
1164
01:24:52,520 --> 01:24:57,420
He was preparing for a world where AI
wouldn't just be a research project, but
1165
01:24:57,420 --> 01:24:59,700
the operating system of the entire
planet.
1166
01:25:00,720 --> 01:25:06,260
The storm of 2018 had been a warning.
The era of generative AI was about to
1167
01:25:06,260 --> 01:25:07,260
provide the answer.
1168
01:25:13,680 --> 01:25:16,900
By 2022, the world had changed.
1169
01:25:17,560 --> 01:25:23,260
The launch of ChatGPT signaled the
arrival of the generative AI era, and
1170
01:25:23,260 --> 01:25:25,640
was the only company prepared to power
it.
1171
01:25:26,640 --> 01:25:32,240
But as Jensen Huang stood on the brink
of total market dominance, a new wall
1172
01:25:32,240 --> 01:25:36,000
built, not by a competitor, but by the U
.S. government.
1173
01:25:36,980 --> 01:25:40,760
Washington imposed strict export
controls on high -end AI chips.
1174
01:25:41,200 --> 01:25:43,990
For NVIDIA, the stakes were
astronomical.
1175
01:25:45,470 --> 01:25:50,930
According to the geographical revenue
data, China accounted for approximately
1176
01:25:50,930 --> 01:25:54,270
% to 25 % of the company's total
business.
1177
01:25:55,690 --> 01:26:01,110
Overnight, Jensen had to navigate a
geopolitical minefield, redesigning
1178
01:26:01,110 --> 01:26:05,410
specifically to comply with regulations
while trying to keep his most important
1179
01:26:05,410 --> 01:26:06,790
market from slipping away.
1180
01:26:08,650 --> 01:26:12,950
Jensen's answer to the geopolitical and
technical pressure was the Blackwell
1181
01:26:12,950 --> 01:26:13,950
architecture.
1182
01:26:14,110 --> 01:26:18,370
If the H100 was a spark, Blackwell was a
sun.
1183
01:26:19,230 --> 01:26:25,150
Packing an incredible 208 billion
transistors, it delivered up to 30 times
1184
01:26:25,150 --> 01:26:27,790
performance of its predecessor for
certain AI tasks.
1185
01:26:28,850 --> 01:26:32,030
But Blackwell represented a deeper
strategic shift.
1186
01:26:32,470 --> 01:26:34,870
NVIDIA was no longer just a chipmaker.
1187
01:26:36,550 --> 01:26:40,170
Jensen was now building entire AI
factories.
1188
01:26:41,230 --> 01:26:46,170
By integrating Mellanox networking
technology, he controlled the highways
1189
01:26:46,170 --> 01:26:50,210
allowed thousands of chips to talk to
each other as if they were a single
1190
01:26:50,210 --> 01:26:51,210
brain.
1191
01:26:52,090 --> 01:26:56,710
This system -on -a -cluster approach
meant that even if a competitor produced
1192
01:26:56,710 --> 01:27:00,890
faster individual chip, they couldn't
compete with the sheer efficiency of the
1193
01:27:00,890 --> 01:27:01,890
NVIDIA ecosystem.
1194
01:27:03,390 --> 01:27:05,810
The financial results were staggering.
1195
01:27:06,090 --> 01:27:07,670
By early 2024,
1196
01:27:08,520 --> 01:27:15,140
NVIDIA's data center revenue had surged
to over $47 billion, a 217 %
1197
01:27:15,140 --> 01:27:16,920
increase in a single year.
1198
01:27:17,600 --> 01:27:23,680
The company was operating with 78 .4 %
gross margins, profit levels usually
1199
01:27:23,680 --> 01:27:27,120
reserved for software giants, not
hardware manufacturers.
1200
01:27:28,300 --> 01:27:34,340
On June 18, 2024, NVIDIA became the most
valuable company on the planet.
1201
01:27:35,440 --> 01:27:40,120
Yet... Even as he stood at the summit,
Jensen refused to relax.
1202
01:27:40,820 --> 01:27:46,020
He looked at the 60 -year history of
semiconductors, the rise and fall of
1203
01:27:46,260 --> 01:27:51,260
the cycles of Samsung and TI, and he
knew that being on top was the most
1204
01:27:51,260 --> 01:27:52,340
dangerous place to be.
1205
01:27:52,880 --> 01:27:56,260
His next challenge wouldn't just be
about chips.
1206
01:27:56,700 --> 01:27:59,880
It would be about giving AI a physical
body.
1207
01:28:06,220 --> 01:28:11,980
In 2024, Jensen Huang had already
conquered the digital world, but his
1208
01:28:11,980 --> 01:28:14,500
fixed on a new frontier, the physical
one.
1209
01:28:15,080 --> 01:28:20,240
He declared that the next wave of AI
would be physical AI, intelligence that
1210
01:28:20,240 --> 01:28:24,800
doesn't just process text or images, but
understands the laws of physics.
1211
01:28:25,840 --> 01:28:31,360
Everything that moved, from autonomous
cars to humanoid robots, would
1212
01:28:31,360 --> 01:28:33,160
be powered by an NVIDIA brain.
1213
01:28:34,350 --> 01:28:38,050
This identifies it as the third pillar
of NVIDIA's future.
1214
01:28:38,690 --> 01:28:44,770
To win this race, Jensen isn't just
building chips, he's building the
1215
01:28:45,370 --> 01:28:49,990
This is a digital world where robots are
trained millions of times in a virtual
1216
01:28:49,990 --> 01:28:53,510
simulation before they ever step into a
real factory.
1217
01:28:54,670 --> 01:29:00,070
By the time a robot starts its job, it
has already lived a thousand lifetimes
1218
01:29:00,070 --> 01:29:01,070
experience.
1219
01:29:01,200 --> 01:29:04,400
Jensen's strategy is a total vertical
integration.
1220
01:29:04,840 --> 01:29:08,820
He is transforming NVIDIA into a
provider of AI factories.
1221
01:29:09,540 --> 01:29:14,900
He believes that in the future, every
company will have two factories, one
1222
01:29:14,900 --> 01:29:18,700
produces physical goods and a digital
one that produces intelligence.
1223
01:29:19,560 --> 01:29:23,980
With the Mellanox networking high -speed
highways and the CUDA software
1224
01:29:23,980 --> 01:29:28,440
fortress, Jensen has ensured that the
entire infrastructure of this new
1225
01:29:28,440 --> 01:29:31,260
industrial revolution runs on NVIDIA.
1226
01:29:31,520 --> 01:29:37,140
When asked about his legacy, Jensen
doesn't talk about stock prices or
1227
01:29:37,140 --> 01:29:37,999
of dollars.
1228
01:29:38,000 --> 01:29:42,220
He talks about material sciences and
scientific discovery.
1229
01:29:43,040 --> 01:29:48,480
He believes AI will give humans
superpowers, helping us solve climate
1230
01:29:48,700 --> 01:29:53,740
cure diseases, and handle the dangerous
and mundane tasks so we can focus on
1231
01:29:53,740 --> 01:29:56,500
what truly makes us human, curiosity.
1232
01:30:01,610 --> 01:30:02,630
By 2025,
1233
01:30:03,390 --> 01:30:07,050
the world had entered a state of compute
geopolitics.
1234
01:30:07,690 --> 01:30:13,550
NVIDIA was no longer just a company. It
had become a strategic resource, similar
1235
01:30:13,550 --> 01:30:14,950
to oil or grain.
1236
01:30:15,710 --> 01:30:21,570
The launch of the Bacwell B200 hadn't
just met demand. It had ignited a global
1237
01:30:21,570 --> 01:30:22,570
scramble.
1238
01:30:22,890 --> 01:30:28,670
Nations like Japan, France, and the UAE
began building sovereign AI clouds.
1239
01:30:29,400 --> 01:30:33,900
Realizing that depending on a few
Silicon Valley giants for intelligence
1240
01:30:33,900 --> 01:30:35,240
national security risk.
1241
01:30:36,100 --> 01:30:41,280
But as 2025 progressed, a new whisper
began to haunt the industry.
1242
01:30:42,020 --> 01:30:43,020
The wall.
1243
01:30:43,140 --> 01:30:46,740
For years, AI progress relied on scaling
laws.
1244
01:30:47,080 --> 01:30:51,640
The idea that more data and more GPUs
would inevitably lead to more
1245
01:30:51,640 --> 01:30:57,040
intelligence. However, in 2026, the
returns are starting to diminish.
1246
01:30:57,840 --> 01:31:02,700
Data centers are becoming so massive,
they require their own dedicated nuclear
1247
01:31:02,700 --> 01:31:07,300
power plants, and the low -hanging fruit
of Internet data has been exhausted.
1248
01:31:08,780 --> 01:31:12,100
Jensen's response to the wall is
typically defiant.
1249
01:31:12,500 --> 01:31:16,600
He pivoted the industry towards
synthetic data and reasoning models.
1250
01:31:17,100 --> 01:31:24,020
In 2026, NVIDIA's focus has shifted from
simply training AI to inference
1251
01:31:24,020 --> 01:31:25,020
of scale.
1252
01:31:25,640 --> 01:31:30,620
The goal is no longer just to build a
model that knows everything, but to
1253
01:31:30,620 --> 01:31:35,180
a system that thinks through a problem
for days if necessary, using massive
1254
01:31:35,180 --> 01:31:37,640
clusters of GPUs to reach a
breakthrough.
1255
01:31:39,260 --> 01:31:43,320
The competition in 2026 has never been
fiercer.
1256
01:31:44,060 --> 01:31:49,200
NVIDIA's biggest customers, Amazon,
Google, and Microsoft, have become its
1257
01:31:49,200 --> 01:31:53,360
dangerous rivals, pouring billions into
their own custom AI chips.
1258
01:31:53,870 --> 01:31:55,370
to escape the NVIDIA tax.
1259
01:31:56,210 --> 01:31:59,370
Yet, the software moat remains
unbreached.
1260
01:31:59,670 --> 01:32:04,730
While others build chips, Jensen is
building the entire ecosystem, the
1261
01:32:04,730 --> 01:32:09,330
networking, the libraries, and the pre
-trained models that make a competitor's
1262
01:32:09,330 --> 01:32:13,530
hardware feel like a relic before it
even leaves the factory.
1263
01:32:14,550 --> 01:32:19,050
In this era, Jensen Huang has become one
of the world's most influential
1264
01:32:19,050 --> 01:32:24,280
diplomats. He navigates a world where
the power grid is the new bottleneck and
1265
01:32:24,280 --> 01:32:28,460
where a single shipment of chips can
determine the economic future of a
1266
01:32:29,620 --> 01:32:35,380
The trillion -dollar question of 2026 is
no longer if AI will change the world,
1267
01:32:35,580 --> 01:32:38,580
but who will own the infrastructure of
that change.
1268
01:32:44,260 --> 01:32:48,800
The story of NVIDIA is often told as a
series of lucky breaks or inevitable
1269
01:32:48,800 --> 01:32:55,010
triumphs. But as we look at the empire
Jensen Huang has built, the reality is
1270
01:32:55,010 --> 01:32:58,090
far more deliberate and far more
precarious.
1271
01:32:58,930 --> 01:33:04,390
In 2026, the company stands at the
center of the greatest industrial shift
1272
01:33:04,390 --> 01:33:05,390
human history.
1273
01:33:05,950 --> 01:33:12,150
Yet for Jensen, the valuation of $3, $4
or $5 trillion is a lagging indicator.
1274
01:33:12,650 --> 01:33:15,110
The true metric is the oxygen.
1275
01:33:16,070 --> 01:33:20,470
Throughout his journey, From the
dishpits of Denny's to the halls of the
1276
01:33:20,470 --> 01:33:24,910
Court, Jensen has maintained a
philosophy of intellectual honesty.
1277
01:33:25,930 --> 01:33:31,670
He admits when the technology is wrong,
he pivots when the market shifts, and he
1278
01:33:31,670 --> 01:33:34,110
invests billions when the world calls
him a fool.
1279
01:33:34,970 --> 01:33:40,410
He has turned a semiconductor company
into a geopolitical superpower, a
1280
01:33:40,410 --> 01:33:44,710
fortress, and the primary architect of a
new form of life.
1281
01:33:45,820 --> 01:33:50,940
Critics ask if NVIDIA is a bubble
waiting to burst, or if the scaling laws
1282
01:33:50,940 --> 01:33:52,520
will eventually hit a dead end.
1283
01:33:53,180 --> 01:33:56,800
But Jensen doesn't operate on the
timeline of a stock market cycle.
1284
01:33:57,180 --> 01:34:00,540
He operates on the timeline of human
evolution.
1285
01:34:01,380 --> 01:34:03,460
He isn't just selling chips.
1286
01:34:03,740 --> 01:34:08,520
He is selling the marginal cost of
intelligence, making the most valuable
1287
01:34:08,520 --> 01:34:14,580
resource in the universe so abundant
that it changes the very definition of
1288
01:34:14,580 --> 01:34:15,580
is possible.
1289
01:34:16,720 --> 01:34:20,880
Jensen often says that he wakes up every
morning with the same feeling he had in
1290
01:34:20,880 --> 01:34:25,000
1993, the feeling that the company is
going out of business.
1291
01:34:25,840 --> 01:34:30,980
It is this productive paranoia that
prevents the cyclical trap that claimed
1292
01:34:30,980 --> 01:34:31,980
giants of the past.
1293
01:34:32,880 --> 01:34:35,140
He doesn't want to be the king of a
legacy.
1294
01:34:35,680 --> 01:34:40,980
He wants to be the architect of a future
that hasn't even been imagined yet.
1295
01:34:43,500 --> 01:34:45,300
Run, don't walk.
1296
01:34:45,980 --> 01:34:49,820
Either you are running for food, or you
are running from being food.
1297
01:34:50,400 --> 01:34:55,740
In the era of the digital brain, the
race has only just begun.
1298
01:36:20,840 --> 01:36:24,500
The financial world is in constant
transformation. But in this decade,
1299
01:36:24,680 --> 01:36:28,040
digitalization has accelerated that
change faster than anyone imagined.
1300
01:36:29,840 --> 01:36:33,300
Today, money, investments, and assets
flow through code.
1301
01:36:34,240 --> 01:36:36,660
Silent, transparent, and borderless.
1302
01:36:37,620 --> 01:36:42,300
Cryptocurrencies, led by Bitcoin, mark
the beginning of a new era. They shook
1303
01:36:42,300 --> 01:36:46,100
the foundations of the global financial
system, sparking both excitement and
1304
01:36:46,100 --> 01:36:50,100
skepticism. Yet behind that phenomenon
emerged something even deeper.
1305
01:36:51,389 --> 01:36:55,110
Tokenization. A technology redefining
ownership, exchange, and value.
1306
01:36:55,710 --> 01:36:59,350
Decentralized, programmable, and capable
of operating 24 hours a day without
1307
01:36:59,350 --> 01:37:02,430
intermediaries. What once seemed like a
promise has become a reality.
1308
01:37:02,810 --> 01:37:07,350
A token is basically a database entry,
and it says which address, which is
1309
01:37:07,350 --> 01:37:11,690
basically the digital place where a
token is stored, how many pieces, how
1310
01:37:11,690 --> 01:37:15,250
tokens it has, and is implemented by its
local program code.
1311
01:37:15,590 --> 01:37:18,370
The idea is simple. The impact,
enormous.
1312
01:37:18,910 --> 01:37:23,350
Each token represents a fraction of an
asset, a share, a bond, a property, or
1313
01:37:23,350 --> 01:37:27,590
even a work of art, all recorded on a
blockchain, a global tamper -proof
1314
01:37:27,790 --> 01:37:30,150
You know, you can look at the Genesis
block as a picket sign.
1315
01:37:30,630 --> 01:37:36,590
It was a protest, really, against what
many people viewed as financial
1316
01:37:36,590 --> 01:37:40,650
injustices. What began as an alternative
to financial power has become the
1317
01:37:40,650 --> 01:37:42,710
infrastructure of a new economic system.
1318
01:37:43,030 --> 01:37:46,870
We believe the next step going forward
will be the tokenization of financial
1319
01:37:46,870 --> 01:37:47,870
assets.
1320
01:37:48,060 --> 01:37:54,220
And that means every stock, every bond
will have its own basically USIF. It'll
1321
01:37:54,220 --> 01:37:58,820
be on one general ledger. By 2025, that
step is already underway.
1322
01:37:59,120 --> 01:38:04,420
The tokenized assets market has
surpassed $1 trillion in regulation.
1323
01:38:04,420 --> 01:38:08,540
Europe's MISI framework to the ESSI's
latest guidelines, it's shaping a global
1324
01:38:08,540 --> 01:38:14,460
ecosystem. Basically aim to target some
specific assets in the crypto industry
1325
01:38:14,460 --> 01:38:17,860
and certain services linked to those
crypto assets.
1326
01:38:18,160 --> 01:38:21,800
Meanwhile, in the United States,
companies like Securitize are bridging
1327
01:38:21,800 --> 01:38:23,980
traditional finance with the digital
world.
1328
01:38:24,560 --> 01:38:28,020
Blockchain technology and tokenization
brings the most suitable, most modern
1329
01:38:28,020 --> 01:38:31,120
ledger technology, ideal for modernizing
the market.
1330
01:38:31,820 --> 01:38:36,000
Tokenization promises more than
efficiency. It points toward a financial
1331
01:38:36,000 --> 01:38:38,840
that is faster, more transparent, and
more inclusive.
1332
01:38:39,290 --> 01:38:41,070
where value moves at the speed of
information.
1333
01:38:42,370 --> 01:38:44,490
The future of money has already begun.
1334
01:38:46,570 --> 01:38:49,690
This is the journey toward the economic
system of the future.
1335
01:38:52,610 --> 01:38:57,110
As early as about 5 ,000 years ago,
people traded by exchanging goods or
1336
01:38:57,110 --> 01:38:58,110
services.
1337
01:39:00,170 --> 01:39:05,170
Over time, opportunities developed to
also trade shares in goods or services
1338
01:39:05,170 --> 01:39:07,830
even sell them to the public in order to
raise capital.
1339
01:39:10,920 --> 01:39:15,040
This is how the stock markets came into
being, where companies offer individual
1340
01:39:15,040 --> 01:39:19,380
small company shares to a variety of
investors to invest in the future of the
1341
01:39:19,380 --> 01:39:20,380
company.
1342
01:39:22,840 --> 01:39:26,980
This need for shareholding has increased
more and more and ultimately developed
1343
01:39:26,980 --> 01:39:28,640
into the global financial market.
1344
01:39:32,460 --> 01:39:35,840
Tokenization meets this need in an even
more extreme way.
1345
01:39:36,300 --> 01:39:40,920
This is because tokenization is a
further segmentation of a unit or
1346
01:39:40,920 --> 01:39:42,940
into other individual components.
1347
01:39:44,560 --> 01:39:46,440
A kind of fractionalization.
1348
01:39:46,800 --> 01:39:51,680
For example, pairs can also be further
fractioned and the resulting units can
1349
01:39:51,680 --> 01:39:52,680
turn be traded.
1350
01:39:53,900 --> 01:39:59,340
However, the special and new thing about
tokenization is not the segmentation,
1351
01:39:59,420 --> 01:40:04,080
but it's linking with another process
that makes tokenization interesting in
1352
01:40:04,080 --> 01:40:05,080
first place.
1353
01:40:05,550 --> 01:40:09,450
the digital and decentralized storage of
the fractions in the blockchain.
1354
01:40:11,770 --> 01:40:16,070
Individual sectors of the market for
tokenized assets are currently still in
1355
01:40:16,070 --> 01:40:18,410
kind of discovery or experimentation
phase.
1356
01:40:20,310 --> 01:40:23,850
Its value is estimated at less than $20
billion.
1357
01:40:24,570 --> 01:40:29,450
The value of the total market for
digital assets is about $350 billion.
1358
01:40:32,140 --> 01:40:35,260
This is where the enormous growth
potential becomes clear.
1359
01:40:36,320 --> 01:40:41,320
Tokenization and blockchain technology
could fundamentally change the financial
1360
01:40:41,320 --> 01:40:42,320
and banking sector.
1361
01:40:42,840 --> 01:40:49,700
By 2027, this growth will increase
dramatically to an estimated $6 .89
1362
01:40:52,010 --> 01:40:57,270
Major institutions such as BlackRock, JP
Morgan, and HSBC are already using
1363
01:40:57,270 --> 01:41:01,490
tokenized platforms to issue real -world
assets on networks like Ethereum and
1364
01:41:01,490 --> 01:41:06,110
Polygon. Digital funds and tokenized
bonds are no longer a promise. They are
1365
01:41:06,110 --> 01:41:07,850
part of the global financial system.
1366
01:41:08,090 --> 01:41:12,030
We believe the next step going forward
will be the tokenization of financial
1367
01:41:12,030 --> 01:41:13,030
assets.
1368
01:41:13,440 --> 01:41:19,380
And that means every stock, every bond
will have its own basically QSIP. It'll
1369
01:41:19,380 --> 01:41:24,320
be on one general ledger. Every
investor, you and I, will have our own
1370
01:41:24,460 --> 01:41:25,580
our own identification.
1371
01:41:26,380 --> 01:41:30,980
We could rid ourselves of all issues
around illicit activities about bonds
1372
01:41:30,980 --> 01:41:35,840
stocks and digital by having a
tokenization.
1373
01:41:36,140 --> 01:41:40,660
But the most important thing, we can
customize strategies through
1374
01:41:40,660 --> 01:41:42,460
that fits every individual.
1375
01:41:43,230 --> 01:41:47,110
We would have instantaneous settlement.
Think about all the costs of settling
1376
01:41:47,110 --> 01:41:48,110
bonds and stocks.
1377
01:41:48,290 --> 01:41:52,790
But if you had a tokenization,
everything would be immediate because
1378
01:41:52,790 --> 01:41:53,790
line item.
1379
01:41:53,930 --> 01:41:58,350
And so we believe this is a
technological transformation for
1380
01:41:58,730 --> 01:42:03,470
Think's words capture a turning point.
The very institutions that define 20th
1381
01:42:03,470 --> 01:42:08,770
century finance are now building the
digital infrastructure of the 21st.
1382
01:42:08,770 --> 01:42:12,050
is one of the biggest players that will
shake up the digital token game.
1383
01:42:13,200 --> 01:42:16,960
In 2022, the United States held the
largest market share.
1384
01:42:18,120 --> 01:42:19,620
But what is tokenization?
1385
01:42:20,020 --> 01:42:24,040
How do all these new token -based
players operate in the fintech market?
1386
01:42:24,300 --> 01:42:27,100
What is their agenda and what are their
products?
1387
01:42:30,420 --> 01:42:35,300
In Europe, Luxembourg -based Tokeny
Solutions is one of the market leaders
1388
01:42:35,300 --> 01:42:38,640
providing an institutional and modular
end -to -end platform.
1389
01:42:39,340 --> 01:42:43,760
That enables the issuance, transfer, and
management of tradable digital assets
1390
01:42:43,760 --> 01:42:44,860
and security tokens.
1391
01:42:46,780 --> 01:42:51,080
Such as tokenized loans, structured debt
securities, stock and funds.
1392
01:42:53,720 --> 01:42:58,140
This private B2B company provides an end
-to -end platform for the unified
1393
01:42:58,140 --> 01:43:01,760
issuance, management, and trading of
service and security tokens.
1394
01:43:05,560 --> 01:43:07,820
The company valuation for token
solutions.
1395
01:43:08,590 --> 01:43:14,330
range from $22 million to $33 million,
with a revenue estimate of $6 .5 million
1396
01:43:14,330 --> 01:43:17,110
for the year and a fund of $11 million.
1397
01:43:20,650 --> 01:43:25,730
The company uses Ethereum and Polygon's
blockchain technology and works with the
1398
01:43:25,730 --> 01:43:28,230
ERC3643 token standard.
1399
01:43:32,470 --> 01:43:36,770
Another interesting player in the
European market is the Berlin -based
1400
01:43:36,770 --> 01:43:41,200
Bitbon. They have launched the first
security token offering in Europe.
1401
01:43:42,200 --> 01:43:46,840
This was approved by the German
financial regular BaFin in 2019.
1402
01:43:48,620 --> 01:43:52,940
Bitbon is a technology provider for the
tokenization infrastructure of digital
1403
01:43:52,940 --> 01:43:53,940
assets.
1404
01:43:54,180 --> 01:43:59,320
Their Web3 product, TokenTool, allows
their customers to create, manage, and
1405
01:43:59,320 --> 01:44:02,180
distribute tokens and NFTs through EVM
chains.
1406
01:44:03,980 --> 01:44:09,560
The Bitbon token, or BB1, is a security
bond token that can be purchased with
1407
01:44:09,560 --> 01:44:12,980
BTC, ETH, XLM, or Euros.
1408
01:44:13,460 --> 01:44:16,160
The value per token is equal to 1 Euro.
1409
01:44:18,560 --> 01:44:23,820
Their global market share is currently
less than 0 .1%, but with a team size of
1410
01:44:23,820 --> 01:44:29,220
less than 50 people, it is valued at
around 7 to 11 million US dollars as a
1411
01:44:29,220 --> 01:44:30,220
company.
1412
01:44:31,980 --> 01:44:35,980
Fitbon is a private company with a
capital of $13 .2 million.
1413
01:44:36,780 --> 01:44:40,540
Its turnover will be around $1 million
in 2023.
1414
01:44:42,560 --> 01:44:44,240
But how does it work exactly?
1415
01:44:45,340 --> 01:44:48,100
Fitbon uses the ERC -20 token standard.
1416
01:44:48,620 --> 01:44:52,400
This is the most commonly used security
token in the fintech industry.
1417
01:44:53,980 --> 01:44:58,800
The token stands for tokenized assets
that company with current regulations
1418
01:44:58,800 --> 01:44:59,800
securities.
1419
01:44:59,850 --> 01:45:04,030
There are securities in the form of a
token, and through a company such as
1420
01:45:04,030 --> 01:45:09,030
Bitbon or Tokeny Solutions, the buyer
can buy and trade such a security as a
1421
01:45:09,030 --> 01:45:10,030
token.
1422
01:45:11,010 --> 01:45:13,790
The acquired token is implemented on a
blockchain.
1423
01:45:14,050 --> 01:45:16,770
The blockchains are called Ethereum or
Polygon.
1424
01:45:19,560 --> 01:45:24,920
I'm Radoslav Albrecht, a founder and CEO
of Bitbon. A token is a term that has
1425
01:45:24,920 --> 01:45:28,840
been around for a long time, and it
basically stands for the fact that an
1426
01:45:28,840 --> 01:45:30,960
or digital good stands for something
else.
1427
01:45:31,280 --> 01:45:36,020
For example, if you go to a fun fair and
pay admission, you often get a token, a
1428
01:45:36,020 --> 01:45:39,200
plastic chip, which you then hand in in
a carousel, for example.
1429
01:45:39,560 --> 01:45:43,260
And that's where the term originally
comes from. My name is Markus Kluge.
1430
01:45:46,240 --> 01:45:48,440
I'm one of the co -founders of
Tokenforge.
1431
01:45:48,800 --> 01:45:53,480
The best known is the standard, is this
ERC -20 standard, which is basically
1432
01:45:53,480 --> 01:45:58,040
just a small register in which anyone
who has received a token there is
1433
01:45:58,040 --> 01:46:01,420
access as the only one who can move it
into a private key.
1434
01:46:01,660 --> 01:46:04,540
This is what is meant by tokenization in
blockchain.
1435
01:46:04,920 --> 01:46:09,240
And that's what happens without
regulations and without access from any
1436
01:46:09,240 --> 01:46:11,640
administrator or from any regulated
party.
1437
01:46:12,000 --> 01:46:16,040
with a high risk that if you lose your
private key, you won't be able to access
1438
01:46:16,040 --> 01:46:20,020
that token, and you won't be able to
move it, you won't be able to sell it.
1439
01:46:22,760 --> 01:46:28,760
From a technical point of view, a token
is basically a database entry, and it
1440
01:46:28,760 --> 01:46:32,580
says which address, which is basically
the digital place where a token is
1441
01:46:32,580 --> 01:46:37,240
stored, how many pieces, how many tokens
it has, and is implemented by so
1442
01:46:37,240 --> 01:46:38,240
-called program code.
1443
01:46:40,250 --> 01:46:44,050
which in a context of blockchains is
also called smart contracts.
1444
01:46:46,510 --> 01:46:50,510
But basically, this is a program code
that describes what are the technical
1445
01:46:50,510 --> 01:46:54,550
properties of the token and who owns the
token and who holds these tokens.
1446
01:47:00,070 --> 01:47:04,470
It is therefore important in
tokenization, i .e. in the creation of
1447
01:47:04,470 --> 01:47:07,690
entries, with which certain rights of
the token owners are linked.
1448
01:47:08,120 --> 01:47:12,380
that there is a register, a database
where the entries are readable and
1449
01:47:12,380 --> 01:47:17,460
securely. This register is granted by
the ERC -20 standard just mentioned.
1450
01:47:17,720 --> 01:47:20,040
It sits on a blockchain, so it's secure.
1451
01:47:20,340 --> 01:47:25,220
In other words, a token isn't just an
asset. It's a digital entry in a new
1452
01:47:25,220 --> 01:47:28,100
of ledger that is rewriting how capital
markets keep their books.
1453
01:47:28,600 --> 01:47:31,620
Financial services industry, for the
most part, a lot of the capital market
1454
01:47:31,620 --> 01:47:36,320
infrastructure and products are still
running in technology from the 70s. So I
1455
01:47:36,320 --> 01:47:41,020
don't think anybody questions that you
need to modernize that infrastructure to
1456
01:47:41,020 --> 01:47:46,280
be able to move products and settle
trades and access investors, et cetera,
1457
01:47:46,280 --> 01:47:47,280
much more efficient way.
1458
01:47:48,090 --> 01:47:51,050
At the end of the day, capital markets
boil down to like updating ledgers and
1459
01:47:51,050 --> 01:47:55,090
how people, you know, move the ownership
of assets in a ledger. And that's what
1460
01:47:55,090 --> 01:47:58,190
a blockchain technology and tokenization
brings. So it's the most suitable, most
1461
01:47:58,190 --> 01:48:01,890
modern ledger technology ideal for
modernizing capital markets.
1462
01:48:05,050 --> 01:48:08,390
The token stands for a value, for a
service.
1463
01:48:08,920 --> 01:48:12,500
Tokens, as we understand them today in
the field, have been around since around
1464
01:48:12,500 --> 01:48:13,740
2014, 2015.
1465
01:48:14,640 --> 01:48:18,340
That's when the so -called Ethereum
blockchain came into being, and the
1466
01:48:18,340 --> 01:48:21,900
blockchain was the first blockchain on
which tokens, namely digital values,
1467
01:48:22,060 --> 01:48:23,060
could be created.
1468
01:48:23,720 --> 01:48:28,180
And that's how the whole development
began, that there were digital tokens,
1469
01:48:28,180 --> 01:48:31,240
since then this term has existed in the
context of fintech.
1470
01:48:36,299 --> 01:48:40,280
And now we have the blockchain
technology with the one with the
1471
01:48:40,280 --> 01:48:44,360
the signature, which just makes a lot
more personal responsibility possible,
1472
01:48:44,720 --> 01:48:49,340
because everyone in the game can just
see, hey, that's really the one who owns
1473
01:48:49,340 --> 01:48:54,000
the asset, who transfers it, and that's
what this private key takes care of,
1474
01:48:54,040 --> 01:48:55,040
public pair.
1475
01:48:55,060 --> 01:48:57,140
That then just makes this thing safe.
1476
01:48:59,140 --> 01:49:00,740
Cryptocurrencies are also tokens.
1477
01:49:00,980 --> 01:49:04,100
They are produced and managed by
companies instead of institutions.
1478
01:49:05,100 --> 01:49:08,060
Strictly speaking, cryptocurrencies are
not currencies.
1479
01:49:08,380 --> 01:49:11,880
They are digital assets that can be
exchanged and traded.
1480
01:49:12,240 --> 01:49:17,600
Their creation is carried out by so
-called ICOs, the abbreviation for
1481
01:49:17,600 --> 01:49:18,600
Coin Offering.
1482
01:49:22,640 --> 01:49:27,860
So the first so -called initial coin
offering was that of Ethereum itself.
1483
01:49:28,430 --> 01:49:32,190
And they basically invented the
technical concept of the token and
1484
01:49:32,190 --> 01:49:33,270
commercializing it.
1485
01:49:33,630 --> 01:49:37,230
And then many, many more companies came
along that took advantage of these
1486
01:49:37,230 --> 01:49:39,710
technical possibilities and issued more
tokens.
1487
01:49:41,510 --> 01:49:45,530
My name is Erwin Vollader. I am the head
of policy for the European Blockchain
1488
01:49:45,530 --> 01:49:46,530
Association.
1489
01:49:47,720 --> 01:49:50,840
If you want to buy the argument that
crypto is political, I think it is.
1490
01:49:51,340 --> 01:49:53,640
And I think it's been political since
the Genesis block.
1491
01:49:53,980 --> 01:49:57,580
So if you look at actually what's
inscribed in the Genesis block, the
1492
01:49:57,580 --> 01:49:58,580
block is the Bitcoin blockchain.
1493
01:49:58,680 --> 01:50:02,040
It's Chancellor on the brink, second
bailout to banks, right? And this is
1494
01:50:02,040 --> 01:50:04,060
the height of the 2008 financial crisis.
1495
01:50:04,700 --> 01:50:09,140
And specifically, you know, you can look
at the Genesis block as a picket sign.
1496
01:50:09,700 --> 01:50:12,440
It was a protest, really, against.
1497
01:50:13,269 --> 01:50:19,010
what many people viewed as financial
injustices that were incurred at the
1498
01:50:19,010 --> 01:50:22,450
of the people for the benefit, at the
cost of the majority for the benefit of
1499
01:50:22,450 --> 01:50:23,450
minority.
1500
01:50:24,330 --> 01:50:28,690
With tokenization and cryptocurrencies,
a new chapter in the history of capital
1501
01:50:28,690 --> 01:50:30,010
investment is being written.
1502
01:50:30,590 --> 01:50:35,110
The new way of investing is influencing
society, politics, and markets.
1503
01:50:35,370 --> 01:50:40,030
The revolutionary concept makes it
possible to divide assets into
1504
01:50:40,030 --> 01:50:41,030
small parts.
1505
01:50:43,120 --> 01:50:44,340
The idea is not new.
1506
01:50:44,720 --> 01:50:48,960
Fractional ownership is a consistent
trend among financial instruments.
1507
01:50:49,340 --> 01:50:53,980
For centuries, companies have been
broken down into small parties by shares
1508
01:50:53,980 --> 01:50:58,660
funds. What is completely new, however,
is to register these fractions as
1509
01:50:58,660 --> 01:51:00,240
digital tokens on a blockchain.
1510
01:51:03,280 --> 01:51:07,540
From a technical point of view, there
are about three dominant technological
1511
01:51:07,540 --> 01:51:08,540
standards.
1512
01:51:09,120 --> 01:51:13,540
There are many more, but these three
technical standards that can be used to
1513
01:51:13,540 --> 01:51:14,540
all use cases.
1514
01:51:14,940 --> 01:51:18,820
The tokens that are then issued by
companies that take advantage of the
1515
01:51:18,820 --> 01:51:20,560
technology, there are thousands.
1516
01:51:20,820 --> 01:51:24,680
There are probably around 5 million
different tokens at the moment, but they
1517
01:51:24,680 --> 01:51:26,800
all based on the same technical
standards.
1518
01:51:27,790 --> 01:51:30,490
but where other values are represented
with it.
1519
01:51:30,970 --> 01:51:35,650
For example, there are so -called
stablecoins, which represent fiat
1520
01:51:35,670 --> 01:51:37,350
such as the euro, the dollar.
1521
01:51:37,670 --> 01:51:41,910
Then there are tokens that represent,
for example, securities, such as bonds
1522
01:51:41,910 --> 01:51:42,910
stocks.
1523
01:51:44,230 --> 01:51:50,790
Tokenization allows you to transfer
value with a technical substrate
1524
01:51:50,790 --> 01:51:55,290
that enables the removal of a lot of
different frictions.
1525
01:51:56,240 --> 01:51:58,720
And these frictions also lead to cost
reductions.
1526
01:51:58,980 --> 01:52:03,660
So instantaneous settlement,
fractionalization, it opens up the door
1527
01:52:03,660 --> 01:52:09,800
cases like paper use models, streaming
money, and generally the ability to take
1528
01:52:09,800 --> 01:52:15,480
real world assets and represent them in
a digitalized form and then offer them
1529
01:52:15,480 --> 01:52:16,480
to investors.
1530
01:52:16,990 --> 01:52:22,130
new ways to package financial products,
the ability to ease frictions and cross
1531
01:52:22,130 --> 01:52:24,910
-border payments as well from an
institutional perspective.
1532
01:52:25,310 --> 01:52:31,310
And I think also what's very important
is tokenization, and tokenization within
1533
01:52:31,310 --> 01:52:38,250
blockchain has the ability to produce a
higher level of financial agency and
1534
01:52:38,250 --> 01:52:42,390
financial inclusion, which I think is
ultimately really important. Otherwise,
1535
01:52:42,510 --> 01:52:44,210
why are we doing all of this?
1536
01:52:46,090 --> 01:52:48,970
All assets can thus be digitalized and
standardized.
1537
01:52:49,290 --> 01:52:51,810
This increases liquidity and
transparency.
1538
01:52:52,450 --> 01:52:54,710
Process can be automated like never
before.
1539
01:52:57,370 --> 01:53:00,970
Software developers have been thinking
about how to standardize tokens.
1540
01:53:01,670 --> 01:53:03,830
This has a very, very important
background.
1541
01:53:04,070 --> 01:53:08,430
Namely, the tokens are held in so
-called wallets. These are basically
1542
01:53:08,430 --> 01:53:11,730
wallets, and not every wallet can hold
every type of token.
1543
01:53:13,259 --> 01:53:17,300
Software developers have been
considering ways to standardize tokens,
1544
01:53:17,300 --> 01:53:21,340
importance of doing so lies in the fact
that tokens are held in digital wallets,
1545
01:53:21,340 --> 01:53:23,860
and not every wallet can store every
type of token.
1546
01:53:24,490 --> 01:53:28,650
Therefore, it has been suggested that a
standard should be established to enable
1547
01:53:28,650 --> 01:53:31,630
wallets to support as many types of
tokens as possible.
1548
01:53:32,410 --> 01:53:36,190
Developers propose open -source
software, and the market adapted
1549
01:53:36,190 --> 01:53:38,610
technical standards based on their
effectiveness.
1550
01:53:39,370 --> 01:53:43,790
These standards have become prevalent
with two dominant token variations, ERC
1551
01:53:43,790 --> 01:53:49,190
-20 standard for the fungible tokens and
the ERC -721 standard for non -fungible
1552
01:53:49,190 --> 01:53:53,620
tokens. These ideas, initially suggested
by developers, have since become
1553
01:53:53,620 --> 01:53:56,540
indispensable and are widely used
throughout the world.
1554
01:53:58,080 --> 01:54:02,220
But the true highlight of tokenization
lies in affordable entry prices for
1555
01:54:02,220 --> 01:54:04,840
investors that are associated with
smaller stakes.
1556
01:54:05,620 --> 01:54:12,460
The one challenge that blockchain,
crypto, or I should say that crypto
1557
01:54:12,740 --> 01:54:17,520
and you see this in decentralized
finance, is the end user or the user
1558
01:54:17,520 --> 01:54:18,520
experience, right?
1559
01:54:18,990 --> 01:54:22,610
Using these financial products and
services is oftentimes tricky and
1560
01:54:22,610 --> 01:54:26,150
or requires a certain level of technical
literacy that not everyone has.
1561
01:54:26,430 --> 01:54:29,530
And also at the end of the day, it's
generally driven by interest.
1562
01:54:29,810 --> 01:54:33,790
I don't think, you know, you can make
the argument and say that everyone will
1563
01:54:33,790 --> 01:54:37,550
use this all the time, everywhere,
because that isn't the case with
1564
01:54:37,550 --> 01:54:41,150
now. So why would it be any different?
You know, human nature is a fickle
1565
01:54:41,250 --> 01:54:46,150
So I think that the point should be to
make it as easy to use as possible, as
1566
01:54:46,150 --> 01:54:47,150
frictionless, as seamless.
1567
01:54:47,630 --> 01:54:51,150
The real challenge today isn't the idea
of tokenization itself, but the
1568
01:54:51,150 --> 01:54:54,530
integration between new blockchain
networks and decades -old finance.
1569
01:54:55,250 --> 01:54:58,850
Most of the adoption for tokenization
today is still within the crypto
1570
01:54:58,850 --> 01:55:00,330
ecosystem.
1571
01:55:01,190 --> 01:55:04,150
That's where the majority of the people
that are kind of using the technology
1572
01:55:04,150 --> 01:55:07,730
and adopting tokenized assets are. It is
to some extent true that it hasn't
1573
01:55:07,730 --> 01:55:09,990
trickled down into like mainstream Wall
Street.
1574
01:55:10,710 --> 01:55:14,470
That doesn't necessarily mean it's not
going to happen. I think it's a much
1575
01:55:14,470 --> 01:55:16,570
complicated problem because you need to
get...
1576
01:55:17,389 --> 01:55:21,750
wallet infrastructure and blockchains,
etc., integrated with existing legacy
1577
01:55:21,750 --> 01:55:25,090
infrastructure, and that usually takes
longer than creating new markets, which
1578
01:55:25,090 --> 01:55:26,090
is what's happening today.
1579
01:55:26,170 --> 01:55:27,330
But it will definitely happen.
1580
01:55:27,690 --> 01:55:32,330
As I mentioned at the beginning,
digitization is an unavoidable fact for
1581
01:55:32,330 --> 01:55:33,330
industries.
1582
01:55:34,690 --> 01:55:38,610
Issuers can save money through
tokenization, which enables them to
1583
01:55:38,610 --> 01:55:41,450
directly without the need for an
intermediary.
1584
01:55:41,840 --> 01:55:45,800
thus eliminating the high fees
associated with working with investment
1585
01:55:45,800 --> 01:55:46,800
other institutions.
1586
01:55:50,840 --> 01:55:51,560
The
1587
01:55:51,560 --> 01:56:02,420
MICA
1588
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is an EU legal framework for
cryptocurrencies and tokens that
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are traded on digital platforms.
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It replaces the individual regulations
on the individual countries.
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Mika basically aims to target some
specific assets in the crypto industry
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certain services linked to those crypto
assets.
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So if we take the parallelism to the
traditional financial sector, we have
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Mifid, which covers financial
instruments. Now we have Mika that
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type of crypto assets, which are in
three big categories, which are the
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coins and the other crypto assets,
including...
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With the implementation of the markets
and crypto assets regulation called
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a consistent EU -wide framework has been
established.
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So it will change a lot of things in the
regulatory landscape and also in the
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crypto industry itself because as we
know...
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All the continents have their own
approach, but sometimes they don't have
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approach at all. So I think it will
change a lot of things, and also within
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financial sector as well.
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Why? Because the traditional financial
sector so far, if you go to a bank and
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you want to buy some Bitcoin, your
banker will most likely refuse this
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Some of them, they jump on board with
it, but 99 % will say, no, we don't do
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While Europe advances under the MyCA
framework, the United States is also
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forward. providing new clarity for
issuers, custodians, and stablecoins.
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I think it's going to get accelerated
because now we have stablecoins that
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become legal with the Genius Act. We've
had the recent administration and the
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recent SEC.
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basically clarifying a lot of the
perhaps more gray areas with respect to
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tokenization about how transfer agents
use a blockchain technology for their
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ledger or how the broker dealers can do
custody of tokenized assets.
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And I think this is going to
significantly accelerate. So I see that
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within the next three to five years for
sure.
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After Mika comes into force right now,
what they can do is actually they can
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offer those services without even having
the Mika license, which can be quite a
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bit of polemic because it's not because
you're a bank or financial institution
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that you can actually understand and you
have the experience and the knowledge
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to provide those services.
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Cryptocurrencies are traded through
crypto exchanges.
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Utility tokens represent a specific
utility or functionality on a platform.
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There are different types of tokens that
can serve as financial instruments.
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Security tokens act as digital
securities.
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They can have the characteristics of
stocks or bonds.
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A security token usually certifies as a
security.
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It is technically referred to as the ERC
-20 token and is similar to a fungible
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token with some additional features.
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It is crucial to identify the token
holders for securities and specific
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technical settings can be implemented to
restrict the transaction of these
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tokens to a particular whitelist of
recipients.
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By approving which recipients can hold
the token, you're indicating their
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authorization.
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Security tokens are commonly designed
this way as issuers usually need to know
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and sometimes may be legally mandated to
know.
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