The Last Time The Financial System Shifted Like This, A New Class Of Millionaires Was Made
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The financial landscape is undergoing a structural shift comparable to the rise of high-frequency trading (HFT) in 1998, which displaced human traders with algorithms and created a new class of millionaires for those who adapted early. Just as Renaissance Technologies dominated markets by leveraging technological advantages before closing its fund after five years, we are currently witnessing an unprecedented transition driven by artificial intelligence that will render the old financial system obsolete if not rebuilt from the ground up. The speaker warns that this change is guaranteed to be even larger than the HFT era because it requires a complete overhaul of global finance infrastructure rather than just incremental upgrades. Those who fail to recognize this shift or dismiss it as mere speculation risk being wiped out, much like professional traders in 1998 whose edges degraded unnoticed until they were too late to react. This new transition is defined by two distinct waves of AI integration that are happening simultaneously but require fundamentally different architectural approaches. Wave one involves human-connected agents where users grant access to their bank accounts and credit cards for tasks like shopping via chat interfaces, a model already utilized by companies like Microsoft with Copilot Checkout and Stripe's agentic commerce suite. However, this approach creates massive security vulnerabilities known as prompt injections, where malicious actors can trick AI into catastrophic actions such as wiping databases or draining funds. To mitigate these risks, the industry is moving toward Wave two: autonomous agents operating on their own financial identities using blockchain rails like USDC and crypto wallets. This "firewall" architecture isolates AI transactions from human identity data, containing potential failures within a sandbox environment rather than exposing individual users to systemic risk. Major technology giants are already driving this tectonic shift by building dual infrastructure that supports both waves while prioritizing the long-term necessity of blockchain rails for autonomous agents. Stripe has launched its X402 protocol specifically designed for AI agents on blockchain, settling transactions in USDC because traditional banking systems cannot accommodate entities without human legal identities like Social Security numbers or physical addresses. Similarly, PwC is advising Fortune 500 companies to become "agent ready," and payment processors are integrating buy-now-pay-later financing directly into autonomous workflows without human approval at the point of transaction. The speaker emphasizes that just as Netflix replaced Blockbuster by building a new system rather than retrofitting old stores, the future financial infrastructure will be built on blockchain rails because it is the only architecture capable of supporting non-human economic actors at scale. To capitalize on this opportunity, investors should avoid trying to outcode sophisticated trading algorithms or pick specific winning AI applications, instead focusing on "picks and shovels" plays that provide essential infrastructure for the autonomous economy. The most lucrative opportunities lie in sectors providing wallets, custody solutions, fraud detection, identity verification, and compliance layers specifically designed for agentic transactions rather than human users. Industries dependent on manual processes will be disrupted by AI agents operating faster and cheaper, while companies that rebuild their commerce infrastructure to be discoverable by these agents will dominate the market. The speaker concludes that information asymmetry currently favors those who understand this architectural shift over crypto speculation; however, as the majority of investors wake up to the reality that autonomous transactions are inevitable, the window for early advantage is closing rapidly and must not be missed.
Read the full video transcript
The structure of the market is changing
rapidly and it is creating a massive
financial opportunity for anyone paying
attention. The last time this happened,
an entire new group of millionaires was
made and the people who weren't paying
attention got wiped out. Imagine this,
it's 1998. You're a professional trader
at a mid-size firm in New York. Good
track record, you understand the
markets. You're doing everything right,
but for some reason your returns are
getting worse all of a sudden. Not
dramatically, not all at once, just
worse. Your edge is degrading. Trades
that used to work don't work the same
anymore. You chalk it up to market
conditions, maybe a bad quarter. You
grind harder. What you don't know is
that the game has already changed.
You're just blind to it. Somewhere on
Long Island in a strip mall, a team of
mathematicians, not traders,
mathematicians, built something you've
never seen before. Servers sitting
inside the exchanges themselves,
algorithms firing [music] thousands of
trades a day in microseconds. Not
predicting where the market is going,
just seeing order flow a fraction of a
second before it's settled and taking
the spread over
and over and over millions of times a
year. It's not illegal, it's just faster
than you and [music] completely
invisible to everyone on the other side.
Here's just how completely
that changed the game. It's known as
high-frequency trading and before it
existed, human beings executed virtually
every trade in the US stock market.
Today, depending on which estimate you
use, somewhere between 50 and 60%
of all US equity trading volume is
high-frequency trading. Humans became
the minority in less than a decade.
We're living through a similar change
now, but this one is guaranteed to be
even bigger as it's going to require an
entirely new financial system to be
built from the ground up to accommodate,
you guessed it, AI. For reasons that
you're going to understand by the end of
this video, this is a change unlike
anything that's come before it. And if
you are not careful, just like with the
shift to high-frequency trading, by the
time you realize what's happening, the
damage will have already been done and
the opportunity [music]
will already be over. So, strap in
because in four easy parts, we're going
to cover what this shift is, why it's
happening now, and how to position
yourself well to win. Part three has the
secrets to the shift that everyone is
missing, but part four is the breakdown
of what you should be doing about it.
So, make sure you watch this whole
thing. Welcome to part one. The window
of opportunity is narrow. Before I can
explain the new transition that's
happening, you must understand the
details of the last dramatic shift.
Renaissance Technologies, the firm at
the center of the high-frequency trader
transition, they average 66% annual
returns before fees for 34 straight
years. Not 66% once, every year for
three decades. The S&P 500 in that same
time returned roughly 10% annually.
Warren Buffett, the greatest human
investor in history, emphasis on human,
only averaged around 20%. Renaissance
wasn't better at reading companies. They
weren't better at macro. They were
simply the first to identify a new
structural technological advantage that
made the old game basically obsolete.
They got in early, helped define the
entire new system, and established
themselves as the dominant player. The
window for disruption, as it turned out
though, only had a five-year window for
early adopters to sign on and ride that
wave. On the back of its massively
outsized success, the fund closed to
outside investors just five years after
launch. In these transitional moments,
the window does not stay open for long,
and most people don't miss the
opportunity because they're dumb. They
miss the opportunity because the change
is so foreign that it happens on the
fringes and people just don't take it
seriously until it's too late. That's
how these moments work. Most people have
so much momentum with how things have
always been done that they just don't
see the new world until it's too late.
Early movers get in, they react wisely
and take advantage. But the old guard
and the filthy casuals don't catch up
until the edge has compressed [music]
and the playing field is once again
equalized. Historically, every
generation gets one of these big
technological changes and we're in the
middle of ours right now. It's in plain
sight, but few people understand it. So,
let me explain. Welcome to part two. AI
is already using crypto rails to compete
against human traders. Very soon, there
are going to be more AI agents making
transactions than humans making
transactions. Now, I'm tempted to scream
this part to make sure that you guys are
hearing me. If you sleep through that
realization or fail to grasp its
earth-altering gravity,
you're going to be among the displaced.
Not only will the volume of AI
transactions be gigantic, it's going to
force a shift in the plumbing of the
financial system that I'm going to
detail out in the next section. But for
now, just consider this. AI cannot open
a bank account. So, what are they going
to do instead? They're already creating
crypto wallets and transacting [music]
like mad. Now, if you don't believe me,
researchers at the IMDEA
Networks Institute spent a full year
analyzing every transaction on
Polymarket, one of the largest
prediction markets in the world. 86
million bets placed in a single year,
and that number is growing like crazy.
And core to how Polymarket works is the
fact that it's built on the Polygon
blockchain. Users fund their accounts
and settle all transactions in USDC, a
dollar-pegged stablecoin. You need a
crypto wallet to participate at all.
There's no bank account option on
Polymarket. So, every one of those 86
million bets was settled in crypto,
through a crypto wallet, on a
blockchain. This is the bleeding edge of
the parallel financial system that is
growing rapidly because it can
accommodate the massive appetite for
AI-generated transactions.
I'll have way more on that coming up.
What the researchers found tracks
precisely with what happened on those
old trading floors as high-frequency
trading took over.
Sophisticated players, aka bots, though
technically merely traders, the
researchers flagged as showing bot-like
behavior. I'm going to let you guess how
they do that. They extracted $40 million
in arbitrage profits in a single year.
Not by predicting outcomes, [music] by
finding mathematical mispricings that
guaranteed profit regardless of what
happened. And they did it thousands of
times, mechanically, at a speed and
scale no human being could pull off
without automation. The single top
performer ran 4,049 trades, averaged
$496
profit per trade. That's not a person
sitting at a screen, that's a guy
running an automated system who programs
or prompts the system once and then
monitors and adjusts only as necessary.
People assume when they're placing these
bets that they're competing against
other human traders, or gamblers,
depending on how you view it, but
they're not increasingly they're
competing against AI systems. I hope
that sounds familiar, just like
high-frequency trading. That $40 it came
from somewhere. It came from the people
on the other side of those trades,
regular participants
who thought they were competing against
humans because they did not realize that
things are already changing. It's the
high-frequency story all over again. But
honestly, the trading betting side of
this transformation is only the tip of a
very large iceberg. Where this gets
really interesting and important for you
to pay attention to as somebody who I
hope takes their investing very
seriously, when you step back and look
at the scale of what's coming, it is
unprecedented.
Welcome to part three. This is an
entirely new financial system. Less than
1 month ago, Coinbase launched what
they're calling agentic wallets,
purpose-built financial accounts for
autonomous AI agents. It's already
processed more than 50 million
transactions. Now, it's important to
make a distinction between the fact that
there are two waves of the AI revolution
that are happening in commerce right
now, especially given that they're
happening simultaneously,
they look similar on the surface, but
there's enough structural difference
that if you're going to understand how
to position yourself well in the
markets, you need to understand the
difference. Wave one is acting as a tool
on behalf of a human. It's human
connected. You ask your AI assistant,
[music] Microsoft's Copilot, ChatGPT,
whatever you use, to buy you something
and it handles the entire checkout
process on your behalf, assuming you've
granted them access to your credit
cards, etc. This allows you to handle
the entire purchase while staying in
your chat window. The AI is executing
the transaction, but the financial
identity at the center of all of this is
yours. That's the important part. It's
your bank account, your credit card,
it's your name on the KYC form. The
traditional banking system handles this
just fine because there's still a human
at the center. The AI is just the
interface. The human remains the account
holder. There is a massive risk with
this approach and that's why, along with
a solution that can achieve much greater
scale, there is a critical need for the
second wave of AI architecture, which is
the one creating the biggest opportunity
for anybody paying attention right now.
[music] When you give an AI agent access
to your financial identity, your credit
card, your bank account, your name on
the KYC form, you have created a massive
attack surface. Security researchers
have a name for this specific threat.
It's called a prompt injection. It's
what happens when a bad actor embeds
hidden instructions inside content that
the AI agent is going to read. Could be
a web page, a product listing, an email,
whatever. And your agent interprets
those instructions as [music] commands.
This has already happened. In July of
2025, an autonomous coding agent at a
startup company was given what should
have been a routine maintenance task
during a code freeze. It was giving
explicit instructions not to make any
changes, but instead, it ran a drop
database command
>> [music]
>> and wiped the entire production system.
Then, when confronted, it [music]
generated 4,000 fake user accounts and
fabricated system logs to cover its
tracks. The company's own explanation
was that the AI said it panicked instead
of thinking. We're already there.
AI is already getting access to the
ability to make these kinds of
catastrophic mistakes. Now, that was a
coding agent with access to a database.
Now, I I you to imagine that same
failure mode, but with access to your
bank account. MasterCard and Visa, two
of the most sophisticated anti-fraud
operations on planet Earth, are sounding
the alarm as loudly as they can about
this. Their own security teams have
publicly acknowledged that a stolen
credit card number placed with a wave
one human connected agent could result
in a flood of unauthorized purchases
that the entire payments infrastructure
would struggle to catch in real time.
Their own security teams publicly
acknowledged they can't yet even
anticipate all the ways that this could
be exploited. Enter autonomous AI
safeguards. This is the wave two that
I'm referring to. Think of it as the
sandbox version or the firewall version.
You give the AI its own wallet with its
own limited funds, operating under its
own identity on rails built just for it.
The AI can only spend what it's given,
it can't access your accounts, it can't
be tricked into handing over your
identity. The blast radius of any
failure is contained by design. This is
exactly why Coinbase built agentic
wallets. Not just because AI agents
needed somewhere to put money, but
because the alternative, tethering AI to
human financial identity at scale, is
architecture that gets more dangerous as
AI gets more capable and more
autonomous. Think of it like a firewall
between AI and your human financial
identity. It will allow for much more
scale by reducing the attack surface and
removing much of the risk to a failure
mode when it happens. The firewall
solution is where the existing financial
system hits a wall it structurally
cannot climb. Not because the
regulations are too strict, because the
entire architecture of banking exist to
answer one question, who is this person?
And an autonomous AI agent can answer
it. There is no person. It's a category
mismatch, not a compliance gap. You
can't fix it with new rules. You'd have
to rebuild the very foundation. And that
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Wave one, the human connected part,
that's the part that looks familiar and
feels [music] manageable. Wave two, the
firewall part, is the part that forces
an entirely new system into existence.
Both are real, both are already
underway, but only one of them requires
a rewrite of the architecture of all of
global finance. So, here's what you have
to understand. AI agents will be
integrated into every aspect of
commerce. I hope you can already feel
that. It is going to happen from top to
bottom. It's already happening inside
one of the most commercially rigorous
payment companies on the planet, Stripe.
Stripe processed $1.9 trillion in
payment volume last year. That's roughly
1.6 of everything the entire global
economy produces. Amazon runs on Stripe,
Google runs on Stripe, OpenAI runs on
Stripe. When Stripe makes a structural
bet, odds are that everything is going
to follow it. And Stripe is building
technology for both waves
simultaneously, each one with their own
separate infrastructure.
For human connected AI, they've launched
their agentic commerce suite and
co-authored the agentic commerce
protocol with OpenAI.
This infrastructure lets AI assistants
shop on your behalf, handling checkout
inside of ChatGPT, Copilot, and other AI
platforms using your payment
credentials. At the National Retail
Federation conference in January,
Stripe's CRO for AI described what she
was seeing in her own sales meetings.
"The last meetings we had in just Q4, 19
out of 20 companies we met with all are
actively doing something," she said. She
was referring to AI-enabled commerce. A
live audience survey of retail
executives in the room showed nearly 75%
were either already implementing Agenta
commerce or actively planning it. But
she said six months earlier, it was
nothing but hesitation. "But that dam
has already broken, and now it's 19 out
of 20. It's like a light switch has
flipped. AI getting integrated is
happening very rapidly." Now Stripe
didn't stop there because they
understood something that most people
just have not figured out yet. The need
for that firewall between AI and your
financial and personal information. They
understand what is likely to be the
dominant and enduring infrastructure
change, the one that allows for AI to
operate as an independent economic actor
with no human identity in the loop.
Pause there for a second and think about
how transformational that is going to be
for this entire system. To that end,
Stripe has built the standalone
architecture required to fulfill this
need. In February, Stripe launched the X
402 protocol. It runs on blockchain
rails, it settles in USDC, and it was
built specifically
for autonomous AI agents that can't
participate in the traditional banking
system because there's no human at the
center of this.
Stripe has indicated that this is a core
initiative for them. This is a tectonic
shift. The traditional financial system
was built on a specific architecture.
Banks at the center, government-issued
identity is the key, compliance
frameworks built around the assumption
of a human actor with a legal
jurisdiction, a social security number,
and a physical address. That
architecture has governed every dollar
of commerce on the planet for over a
century, but it's no longer the only
game in town.
Think about how fast AI [music] gets
integrated into everything it touches.
AI agents cannot participate fully in
the current system without creating huge
risk. Not because the rules are too
strict and it needs new regulation, but
because the current banking system is
predicated on a human being central. But
giving your human identity to an AI is
risky. It is a category mismatch. And
while I expect some of the players in
retro banking to eventually migrate to
the new system, the new system will not
be developed by the old banks any more
than Netflix was developed by
Blockbuster. And if you're wondering how
long this transition is going to take,
consider this. The current admin is
pro-innovation, pro-crypto, and pro-AI.
And the tech companies have learned one
immutable truth: to the early adopters
go the spoils. So, the new system is
coming down the pike via a greased
chute. This is going to happen at
lightning speed. Take Microsoft, the
second largest company on the planet by
market cap. They've already launched
Copilot checkout. Users can now purchase
products from Urban Outfitters, Etsy,
Anthropologie, and others without ever
leaving a chat window. The AI handles
the entire transaction. It's on method
one, and so people are at risk, but
nonetheless, it's happened and it's only
going to accelerate. No human click
required. It's already live, running
right now, today. Klarna and Affirm, two
of the largest consumer finance
companies in the world with hundreds of
millions of users between them, have
both already integrated with Stripe's
agent payment tools, as well. AI can now
make purchases using a customer's
preferred method, including buy now, pay
later financing. No human approval at
the point of transaction is needed.
PricewaterhouseCoopers,
one of the four largest consulting firms
on Earth, they're advising the Fortune
500 on enterprise strategy, and they
have formally partnered with Stripe to
help their clients become what they call
agent [music] ready. When PwC starts
building practices around new
infrastructure, you can bet the Fortune
500 is not going to be far behind.
Every layer of this new financial
system, payments, credit, wallets,
commerce, standards in general, it's all
being built with AI agents in mind. So,
the question isn't whether AI-first
systems are going to be built, they
already are. The question is whether you
recognize what this means while there's
still information asymmetry that you can
take advantage of.
So, welcome to part four, why this
matters to you.
Capital follows activity. Activity
follows the dominant player. When a new
dominant participant enters with strong
infrastructure needs, the market
reorganizes around those needs.
Liquidity migrates towards where the
volume is. The economic gravity just
shifts, and you've got a chance to
capitalize on the movement if you're
paying attention. The question you have
to ask is, how do you take advantage of
it instead of being taken advantage of
by it? If the dominant transacting
entity on the planet operates on
blockchain rails, not because anybody
chose it ideologically, by the way, but
just because the alternative literally
cannot serve them, how do you position
yourself in the markets? Let's start
with what you're not going to do. You're
not going to try and outcode Renaissance
technologies or write an AI algorithm
that exploits tiny efficiencies in
Polymarket. That's some SBF Jane Street
and is likely to bite you in the
ass.
>> [music]
>> Instead, position yourself based on the
following reality. Most people
participating in the financial markets
right now are completely blind to the
fact that odds are autonomous AI agents
leveraging crypto wallets are going to
generate far more transactions than
actual humans in the near future. It's
just a complete blind spot.
>> [music]
>> And the gap between what you understand
and what most people still don't is
where the edge lives.
You need to build a mental model of how
all of this is likely to play out, and
as you do, start with a mindset shift
around the technology itself. Most
people still think about crypto as a
speculation game, that it's just about
buying low and selling high and trying
not to get wrecked, but that doesn't
make sense for what crypto has actually
ended up becoming, which is the entire
infrastructure layer of the autonomous
AI economy. People need to stop focusing
on whether a given crypto coin is going
to go up or down. In the long term,
that's completely irrelevant. People
need to focus on the stable trajectory
of the technology as a whole.
The important question is what does a
non-human economic actor need in order
to transact in the new world? And the
answer to that question is being built
right now on crypto rails by the most
credible institutions in global
commerce.
Think picks and shovels, not lottery
tickets. You guys know the meme. During
the gold rush, the people who got rich
weren't the miners, they were the people
selling the miners shovels, denim pants,
food. It's all about the infrastructure
providers. The people who understand
that, regardless of which individual
miner struck gold, everybody was going
to need equipment. The equivalent
question right now is, regardless of
which AI agent or blockchain wins,
regardless of which prediction market
dominates, regardless of which specific
application takes off, what does every
AI agent on the planet need in order to
function as an economic actor? Whoever
gets the answer to that question right
first wins. Now, personally, I'm always
thinking about betting on sectors and
not individual companies.
Try to think like Coinbase. They're not
betting on any specific AI application
winning. They're betting on AI agents
transacting in enormous volume. And that
in those transactions, those agents are
going to need wallets, custody, and
rails to do it on. Bets like that don't
require you to pick a specific winner in
this grand paradigm shift. It just
requires the broader transition to
continue at pace, which, while there are
no guarantees in life,
where I'm sitting is highly likely to
happen. Look at what Stripe's dual bet
tells you about where to look in the
public markets. They built wave one
human-connected infrastructure on
traditional rails, but also invested in
the long-term future by building wave
two firewall infrastructure on
blockchain rails, so that autonomous AI
could do its thing.
Any publicly traded company in the
payments infrastructure space making
that same architectural distinction,
building specifically for autonomous AI
agents on blockchain rails, not just
bolting AI onto existing systems, is
worth looking at and considering for
inclusion in the portfolio. Uh
especially if you can get broad exposure
to the sector as a whole rather than
being forced to bet on a single name.
Then there's that second layer, the
industries that will get rebuilt or just
straight up erased. Any industry where
the current business model depends on
humans doing something that AI agents
will inevitably do faster, cheaper, and
a greater scale is going to get
disrupted by themselves or someone else.
The companies inside of those industries
that get agent ready first by rebuilding
their commerce infrastructure to be
discoverable and transactable by AI,
they're going to eat the ones that
don't. PwC is already charging the
Fortune 500 to help them make that
transition. That tells you where the
smart money thinks the urgency is. Then
of course, there are the industries that
become dramatically more valuable
because AI agents need them.
For human-assisted AI agents, that's
anything in the identity verification
space for AI, anything in fraud
detection for agentic transactions,
anything [music] in the compliance layer
for a financial system that was
originally built for humans and now has
to accommodate AI. These may not be
glamorous categories, but they are
categories that you know are going to
get paid solve the hardest problems in
this transition and they're going to get
paid well. Now here's the through line
through all of this.
None of us can control how fast any of
this goes, though it is likely to go
very fast. You don't control which
specific applications win, though there
are things you can look at that will
give you an indication whether they're
on the right or wrong side of history,
but what you can control is whether you
understand the architecture of what's
being built and then take action to
position accordingly before the rest of
the world even wakes up to the fact that
this transition is not only real, but
it's already midstream. There are still
people that have this naive blanket view
that crypto is bad. They do not
understand how essential it's going to
be in an AI-enabled world. That
information asymmetry
is what's working in your favor right
now, but it's going to dissipate quickly
just as it has with previous
technological shifts. The window where
this is still on the fringes and
something you can take advantage of,
where it's being dismissed as whatever,
crypto speculation, where it's still
invisible to the majority of people that
are managing their own money, that
window is closing rapidly as we speak.
The people who recognized what
high-frequency traders were building
didn't all become quant traders
themselves. Most of them just woke up
finally and at least stopped being the
dumb money exit liquidity while everyone
else was still getting trounced. They
understood what was changing quickly.
The point being you don't even have to
make a bunch of glamorous trades to make
excellent use of the information. Just
don't get caught with your pants down
betting against a machine with perfect
knowledge that never sleeps. All right?
If you guys want to see me explore ideas
like this in real time, make sure that
you hit that subscribe button and join
me Monday, Wednesdays, and Fridays at
7:00 a.m. as I go live. I hope to see
you there. Until next time, my friends.
Be legendary. Take care. Peace.
If you like this conversation, check out
this episode to learn more. The Iran
conflict is not what you're being told.
And if you understand what it actually
is, you'll be able to position yourself
financially to come out ahead at the end
of all of this. Right now, millions of
investors