AI Job Disruption: Barbell Economy and Solo Billion‑Dollar Firms

Name: The Fed Chair Just Confirmed NO Private Sector Job Growth — Here's What That Actually Means For You
Uploaded: 2026-04-14T13:00:14+00:00
Duration: 30 min 41 s
Channel: Tom Bilyeu
Description: Summary and key takeaways on AI Job Disruption: Barbell Economy and Solo Billion‑Dollar Firms, covering The Reality of Labor Displacement Federal Reserve data

Tom Bilyeu

Apr 14, 2026

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30 min video

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2 min read

YouTube video ID: 7hHxCcUzThA

Source: YouTube video by Tom Bilyeu — Watch original video

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Federal Reserve data shows zero net job creation in the private sector, indicating a stagnating labor market. Layoffs are frequently labeled as AI‑driven for public relations, yet many result from “rightsizing” after the over‑hiring surge of the COVID‑19 era. Stanford research reveals a 16 % relative decline in employment for 22‑ to 25‑year‑olds in roles exposed to AI. In the current cycle, AI functions as an “amplifier,” boosting the output of high‑performing senior workers while eliminating entry‑level and mid‑level grunt tasks.

The Rise of the One‑Person Billion‑Dollar Company

AI enables entrepreneurs to build massive, high‑margin businesses with minimal staff. Medvy, a telehealth startup founded by a single founder, generated $41 million in revenue and a 16.2 % net profit margin in its first full year by leveraging AI tools. Unlike past revolutions such as the loom or steam engine, which created new job categories, AI replaces the “intelligence above the task,” allowing a lone operator to deliver outcomes that previously required a team.

The Barbell Economy and the Disappearing Middle

Productivity transparency driven by AI creates a K‑shaped economy: a wealthy elite that augments its work with AI and an “unproductive class” that cannot keep pace. The traditional middle class—workers who contribute just enough to justify a seat—faces extinction as companies demand measurable results. Independent contractors and consultants increasingly replace conventional employees, widening the gap between elite, AI‑augmented workers and those left behind.

Actionable Strategies for Survival and Growth

Reframe a career as a collection of discrete tasks rather than a fixed job. Identify automatable tasks and actively build personal leverage by automating them. Strive to become a “department of one,” delivering outcomes that once required multiple people. Humans who combine AI assistance currently outperform both unaided humans and AI operating without human direction.

Takeaways

Federal Reserve data confirms zero net private‑sector job creation, signaling a labor market shift toward AI‑driven displacement.
AI acts as an amplifier, enhancing senior workers while eroding entry‑level and mid‑level positions, leading to a 16 % employment decline for young adults in AI‑exposed roles.
One‑person companies like Medvy can generate tens of millions in revenue with a single founder, demonstrating AI's power to create high‑margin, lean enterprises.
The emerging barbell economy separates elite AI‑augmented workers from an expanding unproductive class, causing the traditional middle class to disappear.
Adopting a task‑oriented mindset, automating repeatable work, and becoming a “department of one” are essential strategies for thriving in an AI‑dominated labor market.

Frequently Asked Questions

What is the 'Barbell Effect' in the context of AI and employment?

The Barbell Effect describes a widening productivity gap where AI‑augmented elite workers capture increasing value while workers who cannot adapt fall into an unproductive class, effectively splitting the economy into two distinct poles.

How can an individual become a 'department of one' using AI tools?

By breaking a career into discrete tasks, identifying which tasks AI can automate, and building personal leverage through automation, a person can deliver outcomes that previously required a full team, positioning themselves as a self‑sufficient, high‑impact unit.

Who is Tom Bilyeu on YouTube?

Tom Bilyeu is a YouTube channel that publishes videos on a range of topics. Browse more summaries from this channel below.

Does this page include the full transcript of the video?

Yes, the full transcript for this video is available on this page. Click 'Show transcript' in the sidebar to read it.

Helpful resources related to this video

If you want to practice or explore the concepts discussed in the video, these commonly used tools may help.

Deep Work By Cal Newport Recommended

This book provides a framework for mastering complex tasks and increasing productivity, which is essential for becoming a high-value 'department of one' in an AI-driven economy.

Amazon →

The Almanack Of Naval Ravikant

This book focuses on building leverage and wealth through specific knowledge and independent business models, aligning with the 'one-person company' strategy discussed.

Amazon →

Ergonomic Mechanical Keyboard For Productivity

High-performing individuals using AI to manage complex workflows benefit from hardware that reduces fatigue and increases input speed during long hours of deep work.

Amazon →

Noise Cancelling Headphones For Deep Work

Essential for maintaining the intense focus required to master AI tools and solve the difficult problems that command higher pay.

Amazon →

Links may be affiliate links. We only include resources that are genuinely relevant to the topic.

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Full Transcript YouTube

AI has already changed the world in a
way that most people simply do not
understand yet. Last month, the chair of
the Federal Reserve walked up to a
podium and admitted what most people
could already feel.
>> Effectively, there's zero net job
creation in the private sector.
>> That's a direct quote. He didn't say
growth slowed. He didn't say we had a
soft patch. He said we had zero growth.
December jobs have been revised to a
loss. The gains the public were told we
had in January were actually off by
69,000.
In February, the economy shed 92,000
jobs. And when you add it all up, 2025
was the weakest year for job growth
outside of a recession since 2003. Now,
there are two possible explanations for
what's happening. The first is this is
just a natural cycle. There's a ton of
uncertainty right now in the global
economy and the street rewards companies
that are fiscally disciplined so
companies cut. Now, if that's true, the
jobs will come back as they always do.
But the second explanation is that
something structural has changed. People
are being replaced by AI that is getting
cheaper, faster, and better by the
minute. By the end of this video, you're
going to know exactly which one of those
is based on the actual data. I'm going
to show you what it means for your job,
your income, and your options, and
exactly what you can do about it. I'm
going to prove all of that in four
parts. Part three is my most dire
warning, so do not skip that. Welcome to
part one. You're being force-fed
narratives. Plan based on the data. Mark
Andre co-invented the web browser. He
manages today over $90 billion in assets
at one of the most influential venture
firms on Earth. And recently he went on
record saying that all of the supposed
AIdriven layoffs are, and I quote,
>> "This entire labor displacement thing is
100% incorrect. It's completely wrong."
>> Now, he's got a point, but he also has
an incentive or at least a blind spot.
Here's his argument. Between 2020 and
2022, companies went on a hiring binge.
It's very true. Co forced everyone to
work remotely, but remote work kills
discipline and productivity. But money
was essentially free given that interest
rates were near zero. So companies just
threw headcount at the problem. It
actually became a kind of vanity metric.
How many employees you could rack up.
Tech companies in particular ballooned
their workforces in ways that made no
fundamental business sense. Then
interest rates went from zero to 5% in
just 3 years. It was the fastest rate
increase in modern history. Suddenly,
every large company had to completely
replan their finances and the cost of
carrying all those extra bodies became
impossible to justify. But laying people
off because you overhired is terrible
optics. And if you're a public company,
it could be bad for the share price. But
if you can cut the staff and say it's
because you're using AI, the street
loves it. They assume you're just being
disciplined while also planning for
future growth. And thus, many companies
using this playbook saw their shares go
up in value. And Dreon's argument is
that the layoffs you're seeing that are
being blamed on AI are actually just
companies finally addressing some
previous bad decisions from COVID,
finally rightsizing their company, and
then using the AI excuse as good PR. He
estimates that the majority of large
companies are still overstaffed by 25%.
Some are overstaffed by 50% and a
handful are overstaffed by 75%.
And he believes that AI is just the
silver bullet excuse as he calls it. The
clean narrative that lets executives
avoid admitting they hired recklessly
during co. It's a compelling argument if
you just glance at the data, but not if
you look at it deeply. New York became
the first state to require companies to
disclose whether AI contributed to their
layoffs. They added it to the warn
filings that they require companies to
file when they're about to lay people
off. Of the 162 companies that filed
notices, the overwhelming majority of
them gave no indication that AI was the
reason, but many did cite the general
economy. And that's why I think Andre is
right about many companies right now
making noise to the public saying that
it's about AI, but when they go talk to
regulators, they actually leave AI out
of the discussion altogether. They want
investors to believe that they're being
disciplined. But when they're talking
about legal documents and regulators,
all of a sudden it's the economy and
market conditions. But pointing out that
companies would do that is far different
than saying AI simply isn't impacting
the job market now and into the future,
which it most certainly is. Because when
you dig into the question of whether or
not AI is impacting the job market, the
data starts telling a very clear story.
It is completely transforming the job
market already. And AI is just getting
warmed up. Here's what we know already.
A team at Stanford tracked employment in
AI exposed occupations from the moment
Chat GPT launched in November of 2022
through early 2026. What they found was
a 16% relative decline in employment for
workers between 22 and 25 years old in
the most AI exposed roles. Entry-level
software developers are down roughly
20%. Call center workers are down 15%.
mid-career workers, they were flat. Now,
this kind of loss in the entry level,
flat at the middle, job restructuring is
the kind of thing that nobody holds a
press conference about. It doesn't move
a stock price. These are just positions
that get identified as low productivity
jobs and they stop getting filled. No
big deal for the company, but for people
trying to get into the workforce or
trying to work their way up, it's
devastating. And that is exactly the
pattern that you'd expect to see if AI
is being used as a tool by the most
intelligent, most productive workers in
an organization. If AI were truly
autonomous, you'd actually see a
different pattern. But it's not
autonomous yet. As of today, AI is best
thought of as an amplifier, but you only
give an amplifier to people who are
already performing well. And if that's
true, then we'd expect the data to show
that senior level workers have more
employment opportunities now than before
AI. And lo and behold, that's exactly
what the data shows. Just at the very
moment that entrylevel jobs are
beginning to disappear and mid-level
jobs are growing stagnant, senior level
positions are growing. Give an amplifier
to a senior level employee and the
productivity increases that you're
likely to get mean you need fewer people
to get more done. AI is just absolutely
gobbling up those entry level and
mid-level jobs like a parallegal. The
bottom rung of the cognitive labor
market, the people whose job consists
mostly of grunt execution of a task that
was figured out and systematized by
somebody else but still needs to be
executed on. That's just started
disappearing wholesale from the
workforce. But that's exactly how people
get started and they start moving and
it's just going away. This stark reality
is starting to give us a glimpse into
what's going to happen to the labor
market. So whether Andre is right or not
about some of the more high-profile
layoffs, the structural change that AI
is already bringing to the workforce is
visible right there in the data for
anyone to see. Even if AI ends up
creating more jobs than it destroys,
which I don't actually believe, but
that's a question of time scale for now.
Even if we assume that it's true and AI
is going to create more jobs, the jobs
that it creates will be on a totally
different kind of career ladder, the
world in the near future simply isn't
going to look anything like it does now.
Welcome to part two. The first
billiondoll oneperson company is already
being built. In 2024, the CEOs of the
world's most powerful AI companies
created a betting pool. This is a real
story. Their wager that AI was becoming
so powerful that it was only a matter of
time before it allowed a single person
to build a billion-dollar company. The
bet wasn't a question of if it would
happen, but only when. They may have
just gotten their answer. In September
of 2024, a guy named Matthew Gallagher
launched a teleaalth company called
Medvy out of his living room with no
employees and only $20,000 in startup
capital, far less than most young people
have just in student loans. There was no
venture capital involved. He had a
laptop and roughly a dozen AI tools. In
2025, his first full year in business,
Gallagher and his AI team generated $41
million in revenue at a $16.2% net
profit margin. That would be extremely
rare for any company. So, the fact that
it was achieved by one guy and his AI
crew is absolutely insane. And given how
quickly he amassed that revenue and how
profitable the company is, odds are even
in year one when Gallagher was all by
himself, the company would have been
valued at over a billion dollars,
closing the betting pool just one year
after it began. His closest competitor
in the space, Hims and Hers, does
similar work, but with 24,442
employees and runs on a 5.5% margin.
Gallagher is running nearly three times
that margin even after hiring his first
employee in year two, his brother. You
see, prior to AI, for all of human
history, every major technological
revolution followed the same pattern. It
killed the old jobs, but it created new
ones. The loom wiped out handw weavers,
but employed a new generation of factory
workers doing way more. The steam engine
killed entire trades, but gave birth to
entirely new industries. electricity,
the assembly line, the internet, every
single one of them destroyed a massive
amount of jobs in one category only to
create more in another. And every time
economists warned about mass
unemployment. Every time though, they
were wrong. New categories of work
emerged that nobody could have predicted
and more ultimately ended up employed
than before. That track record is so
consistent that economists gave the fear
of a new technology a name. They call it
the lump of labor fallacy. The mistaken
belief that there's a fixed amount of
work in the economy and that if a
machine takes some of it, there's less
left for humans. It's been wrong every
time it's been applied without a single
exception. So here's the uncomfortable
question. What if this time is actually
different? Not because the technology is
bigger, but because it's categorically
different from everything that came
before it. Every previous technology
replaced physical or mental labor. The
loom replaced hands. The tractor
replaced backs. Even computers were dumb
machines that merely gave new tools to
human minds. But they certainly didn't
replace actual intelligence. That is
until AI. AI is the first tool we've
ever created that can think and execute.
So, if you think of AI as just another
laborsaving device, I get why you would
think that it's going to be like every
technological revolution that came
before it. But that would be what's
known as a categorical error. AI is a
0ero to one moment. Non-human strength
in computation has existed for a long
time, but until now, human-made
intelligence was strictly the domain of
well, humans. But not anymore. AI
doesn't just do a task. It replaces the
intelligence above the task, the pattern
recognition layer, the reasoning that
figures out what needs to be done in the
first place. And that changes the game.
Now, I know better than to say that this
time is different. So, to the lump labor
fallacy, I'll say this. I'll take it on
faith that in the long run, it will
create more jobs than it destroys. But
when you factor in that this is an
entirely new category of tool, just as
the world was fundamentally altered by
the industrial revolution, the internet,
and modern finance, the world will be
unrecognizable
on the other side of AI.
We'll get right back to the show, but
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And now, let's get back to the show. We
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theory. And now, let's get back to the
show.
For the first time in history, companies
have two different options for what to
do when they have an open role that
requires intelligence. That doesn't mean
humans are done for. But what it does
mean is that the bar for what a human
needs to bring to the table to get
selected when intelligence is what's
needed has just gone up. And that means
even if there are more jobs created,
they will go to the most capable and
costefficient option, human or
otherwise. Even if there's an infinite
appetite for intelligence, AI raises the
floor of expected productivity and
ability. And anyone who falls below that
floor becomes part of what I'm calling
the unproductive class or the charity
class. That sounds horrible, but it's
just the physics of the situation. AI
learns slowly and narrowly, but it is
hyper good at the tasks that it's been
trained on. Full self-driving in cars is
already proving to be far safer than
human drivers. AI can beat us at chess
and go and the most complicated games in
the world. Now that AI is never going to
be a chef as well, but eventually there
will be a separate AI for that too. And
that's why this isn't just about
companies downsizing, whether for PR or
otherwise. It's about what happens to
the structure of companies and society
as a whole when not everyone will be
needed in the workforce. What happens
when one person can do the work of 20 or
200? The entire fabric of society is
going to change. In an AI enabled world,
companies don't just get smaller, they
atomize and become ephemeral, existing
briefly and then completely
disappearing, being replaced by
something else. Because the barrier to
entry is so small, you get more
companies but with fewer people in them.
They become lean, high output, high
margin operations that previously would
have required entire departments just a
few years ago. So now the question
becomes if one person can build a $41
million operation, bring on his brother
and achieve a run rate of nearly $2
billion in their second year of
business. That's the pace they're on.
and do it with better margins than their
competitor that has nearly 2500
employees. How long do you suppose those
2400 employees actually last? It's not a
rhetorical question. It's the question
every upstart entrepreneur and company
in America is asking themselves right
now. And the inevitable answer that they
will come to is that every company can
now do more with less. That includes
you. And that fact is going to change
our economy for ever. Welcome to part
three, the barbell. How the middle will
disappear. America's already in the
grips of a horrific K-shaped economy
where there is a stark divide between
the halves at the top of the K and the
have knots at the bottom. 10% of
Americans own 93% of all assets. 47% of
Americans already make so little money
that they pay zero federal income tax.
And despite what many will tell you,
we're already a massive welfare state.
As of 2022, a full 1 in three Americans
were enrolled in at least one government
assistance program. And now that the
private sector job growth has stalled,
you can expect those numbers to go up
even without AI. And with AI, expect
those numbers to go up every time AI
raises the bar on the acceptable level
of productivity. Elon once said, "You're
paid in direct proportion to the
difficulty of the problems you solve."
He's right about that. As AI becomes
capable of solving increasingly complex
problems, more and more humans will find
themselves unable to obtain work. Unless
they're willing to constantly push their
abilities higher and higher, they will
eventually find their career stalled out
or not existing at all. Now, some people
love that kind of challenge, but others
do not. And this divide between those
two groups will further exaggerate the
K-shaped economy as more people slide
down into the unproductive class. AI
will create almost perfect transparency
with someone's level of productivity.
There will be nowhere to hide. AI can
parse through so much data so quickly
and identify patterns that there will be
absolutely no way for people to get away
without delivering real productivity to
the company. Even in a big company,
everyone is going to be exposed. And
this is going to cause workers to fight
for regulatory protections. That will
cause more entrepreneurs to avoid hiring
humans in the first place. And from
that, we will see companies begin to
atomize dramatically. Corporations will
develop a huge appetite for consultants
and independent contractors. And more
and more traditional employees will
launch their own companies as a
soloreneur to sell their skills back to
companies that have a growing incentive
to use AI or outside contractors
whenever possible. And the people that
master AI and are able to amplify their
abilities, they're going to capture more
of the upside of their own talents.
something that up till now they've been
unable to do but that will radically
increase this atomization. You will only
get paid for your results in the new
world. But odds are there will be less
and less competition as you elevate your
skills more and more and that becomes
the goal to put yourself in that
rarified air. Eventually your primary
competition will be other elite
performers using AI and then the AI
itself. Everyone else is just going to
fade away into the unproductive class.
It is absolutely heartbreaking. But that
is just the reality. When intelligence
has a distribution, drive, will, all of
those things are distributed, not
everybody has the same level. Not
everybody is going to be able to keep up
with AI. That is the stark and biting
reality. It creates huge opportunities
for people that can and will. But ooh
buddy, society is going to look very
different on the other side. Now, I know
exactly what some of you are thinking
right now because I read my comments.
You're tired of hearing a bunch of rich
guys like me who've made it stand up and
tell you that the solution to declining
jobs is to learn AI. You're watching
real jobs disappear in real time. And
the response from people like me is
essentially, "Hey, it's great news. Just
go get better." Now, I understand why
that sounds so horrible, especially if
you're of a certain age. But as Morpheus
says, all I'm offering is the truth. And
the truth is, for the foreseeable
future, AI alone is not going to beat
humans. That will happen one day, but
that day is not today. For now, what the
data actually shows is that humans who
use AI are absolutely demolishing both
the humans who don't and the AI systems
operating without human direction. And
that gap between humans with AI and
everyone else is the window of
opportunity. It's open right now, but it
will not be open forever. The barbell is
going to form no matter what for the
reasons that I've just explained. But if
you've made it this far in this video,
you meet what I call minimum
requirements.
Now you need to start stacking relevant
skills. If you do, you'll end up on the
good side of the barbell. And if you
don't, over the next 5 years or so, you
will slide into the unproductive class
as AI outpaces you. Remember, AI
improves at roughly 300%
per year. Even if that rate slows
dramatically, in 5 years, AI will be
like a computer is today, you won't be
able to get a job if you don't know how
to use one. To be clear, I don't believe
the middle class will disappear. The
middle will fall out of the talent
distribution. And that will create the
barbell in productivity. the stable,
salaried, not exceptional but competent
enough middle, the people who always
found a way to contribute just enough to
justify their seat. That class is going
to disappear because AI makes it
optional for a company to carry them.
And companies that figure that out will
outperform those that don't, which means
the companies that don't figure it out
will eventually cease to exist. You're
either productive enough to hire on
merit, you have the skill and the
gumption enough to run your own
business, or you're going to fall back
on charity. That'll be the divide.
That's what the data is already showing
us. So, welcome to part four. Now that
you know, what do you do? The US economy
is already producing zero net private
sector jobs. AI is already absorbing the
bottom of the cognitive labor market.
Medv success already proves that the
atomization I'm predicting is certainly
possible and probably likely. And on top
of all of that, the Federal Reserve is
caught in a trap it has never faced
before. It can't cut rates right now to
protect jobs without risking inflation.
It can't raise rates to fight inflation
without crushing an economy that is
already producing zero net new jobs.
Every lever that the Fed normally has
was built for a different world than the
one that we're in right now. Goldman
Sachs, JP Morgan, and Bank of America
are all currently signaling elevated
recession risk. They might be right or
they might be wrong. The future is very
hard to see. But here's what's true
regardless. The economy doesn't have to
enter a recession. For everything I've
described, not only to happen, but to
accelerate. Slow growth will accelerate
it. Margin pressure will accelerate it.
A competitor who figures out the Medv
model before you do will accelerate it.
The forcing function isn't a single
economic event. It's the competitive
pressure that now exists in every
industry, in every job, in every
economic environment permanently. In
every economic scenario that could
unfold, strong growth, stagnation, or
full-on recession, the pressure on every
company will be identical. Do more with
less. And to do that, you're going to
use AI. In a strong economy, you compete
on margins. In a stagflationary
environment, you cut costs without
cutting output. In a recession, your
survival depends on eliminating
inefficiency before the cycle turns. AI
is the only tool that answers all of
those demands. Simultaneously, the
economic environment doesn't change the
prescription. It just changes how
urgently you must act on it. Which
brings me to what you actually need to
do. First thing, if you've got the guts
for entrepreneurship, now is your shot.
I cannot stress this enough. Take
control of your destiny. This moment is
incredible for people that are willing
to move, to push themselves, and to get
better. It has quite literally never
been easier to start a company than
right now, today. But if not, then at
least stop thinking about your job as a
job. Start thinking about it as a
collection of tasks. Most people when
they ask, "Can AI replace me?" They're
asking the wrong question at the wrong
level of analysis. The right question is
what are the six to 10 discrete things I
actually do and which of those can
specifically be done better, faster or
cheaper by AI than I can do them right
now. Write that list down. Don't say it
in your head. Write it down on paper in
a document. Break your role down to its
actual components. Identify exactly
where you're genuinely irreplaceable,
where your judgment, your relationships,
your creativity, where one of those
things is the thing that makes you
valuable. And also identify the tasks
that are already automatable. If
something is already automatable, it
means someone above you is already
thinking about automating that. I
promise you, if they're not already,
they will be soon. So, do not lie to
yourself. Be very honest. And by the
way, you can work with AI to think
through all that stuff. The second
thing, take the first automatable task
on that list and spend a weekend
actually trying to automate it, not
watching a YouTube video about it, not
reading about it, actually attempting
it. One tool, open the tool, vibe code
it, build an agent, whatever is needed,
then run it, see what happens. It will
probably fall in its face at first. Try
again, improve it. The feedback loop
from one real attempt to automate a task
will teach you more than 20 hours, 40
hours of content consumption. And it
will tell you exactly where the gaps
are, which is where your human judgment
still matters. The third thing, start
thinking like an owner of a workflow,
not an occupant of a role. Your job is
to deliver outcomes. It's not to check a
box like you're on a fetch quest. The
workers who end up on the right side of
the barbell are not going to be the ones
who used AI to do their job a little bit
faster. They're going to be the ones who
used AI to become a department of one,
to be the person who shows up and
delivers what used to require a team.
That's the person who gains leverage.
Whether that means charging more as an
independent operator or being genuinely
irreplaceable inside of an organization
because no single hire can replicate
what you can deliver. Whatever it takes,
get to that point. Prove that you can
deliver a level of productivity that
other people cannot, that AI by itself
cannot, that truly you armed with AI
have no peers other than people like you
that have also mastered AI. None of this
is complicated, but it does require you
to actually start. So, here's the bottom
line. This isn't a tech story. It's an
economic structure story. Fed Chair
Powell confirmed we have zero net
private sector job creation. The job
market's already stalled. Stanford has
confirmed that entry-level cognitive
work is already being absorbed by AI.
Medv success confirms that the
atomization model isn't just
theoretical. It's already happening and
it's incredibly profitable, but only for
the people that can take advantage of
it. And guys, anything that's
profitable, especially on the scale of
Medvy, is going to be replicated over
and over across every industry. And on
top of all of that, the economy is
struggling right now, at least for
anyone on the bottom of the K. So do not
allow yourself to be on the bottom of
the K and the wrong side of the barbell.
That is far too brutal on the human
psyche, and it's entirely avoidable. I'm
not saying this moment is fun. I get it.
We all wish that things were more
static, that we had longer time
horizons, but we don't. But we have this
incredible opportunity. It is a window
of opportunity that is open right now.
Humans plus AI still beats both humans
and AI alone. The people who move now
will be ahead of the curve in terms of
building up your AI mastery. And that
will give you leverage and optionality
that will compound for the rest of your
career. But if you wait, you will wake
up one day and find that that window of
opportunity has become a wall. So don't
wait. Go master AI. All right. If you
want to see me explore ideas like this
in real time, be sure to hit that
subscribe button right now. Join me
Monday, Wednesday, and Friday at 7 a.m.
Pacific time where we go live and talk
about all of this stuff. You can join in
the community and debate or just hang
out and listen. Till then, my friends,
be legendary. Take care. Peace. If you
like this conversation, check out this
episode to learn more. Oil prices have a
much bigger impact on your retirement
savings than you might think. And a lot
of people are learning the hard way that
volatility in the Middle East means
volatility in your portfolio. The last

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Sweden's Finance Minister Said Socialism Was Impossible — Their Economy Collapsed Proving Him Right

Tom Bilyeu

May 19, 2026

The Rise of the One‑Person Billion‑Dollar Company

The Barbell Economy and the Disappearing Middle

Actionable Strategies for Survival and Growth

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