Video summary
The podcast argues that artificial intelligence adoption is accelerating at an unprecedented rate, with Open AI's usage doubling every six months and chatbots already handling 80% of frontline customer support queries. This rapid evolution poses a severe threat to careers reliant on predictable patterns, repetitive tasks, or standard workflows, as evidenced by Goldman Sachs' projection that automation could eliminate up to 300 million jobs globally by 2030. Industries such as manufacturing, finance, and oil are already experiencing significant workforce reductions, with major corporations like Chevron and BP planning substantial cuts by 2026. The core danger lies in the fact that AI functions as a hyper-sophisticated pattern recognition machine; if a job's duties can be reduced to data patterns—such as filing claims or reviewing contracts—it is highly vulnerable to replacement regardless of how hard an employee works or how long they have held their position. To survive this transition, the speaker outlines four resilience factors that protect jobs from immediate automation: trust and creativity in physical environments requiring dexterity, deep empathy involving true human connection, government roles where efficiency metrics are secondary, and positions that directly utilize AI to build proprietary solutions. The narrative contrasts Kodak's failure to embrace digital technology despite inventing it with Adobe's success in integrating generative AI into its creative suite, illustrating the choice between clinging to obsolete skills or disrupting oneself for growth. While certain sectors like retail and hospitality face high risks due to self-checkout systems and automated concierges, other fields are poised for expansion, including cybersecurity where spending is projected to hit $200 billion annually by 2030, clean energy infrastructure requiring wind turbine technicians, and healthcare innovation driven by AI-accelerated drug discovery. The speaker emphasizes that the future of work will increasingly favor "solopreneurs" who leverage AI tools to outperform traditional agencies, creating a hybrid gig economy where individuals customize solutions for bespoke outcomes rather than relying solely on employment stability. High-paying roles in skilled trades requiring physical dexterity and mental health services offering proof of humanity are expected to remain viable longer because they address human obsessions like longevity or the desire for genuine connection that AI cannot fully replicate. However, a significant gap remains between current AI output capabilities and completed projects, particularly in complex fields like game development, which creates opportunities for humans who can master these tools and fill specific gaps where automation currently fails to deliver perfect results. Ultimately, the podcast concludes with an urgent call to action framed as "audit, adapt, build, own," urging listeners not to wait until 2030 or a layoff notice before reacting to AI disruption. The strategy involves immediately auditing one's current role against the "AI test" to determine if tasks are pattern-based and vulnerable, then pivoting toward industries that embrace these technologies while mastering relevant skills. Beyond career adaptation, financial security is tied to building wealth through entrepreneurship—leveraging AI for first-mover advantages—and owning assets like index funds to protect purchasing power from inflation caused by government deficit spending. The speaker warns that those who stand still or quit out of fear will be devoured by the change, whereas the most adaptive individuals and companies will thrive in this new era defined by rapid technological progress.
Read the full video transcript
It took electricity 46
years to reach 1/4 of American homes.
The internet, 7 years. Chat GPT did it
in just 5 days. In 2023, more people
talked to an AI than their doctor,
lawyer, or therapist, and AI adoption is
not slowing down. It is compounding at a
staggering rate. Open AI alone has a
usage doubling rate of approximately 6
months. That's insane for a company of
any size, but at their scale, that is
practically unprecedented. This is
once-in-history
type stuff. This moment is for careers
what a certain meteor was for the
dinosaurs. Entire Fortune 500 companies
are already running divisions made of
just AI agents, replacing thousands of
employees with a handful of algorithms.
Jobs are dying off everywhere.
Manufacturing has lost 78,000
more jobs this year alone. In August,
pharma cut 19,000 jobs, finance cut
18,000, and that was just in 1 month.
Big oil, the backbone of the 20th
century prosperity, is planning 25%
workforce cuts by 2026.
It's not like AI is just nibbling at the
edges. Many companies report chatbots
can already handle roughly 80% of
frontline customer support queries. That
will inevitably carry over into law,
accounting, trucking, and even things
like journalism. Goldman Sachs projects
300
million jobs worldwide will vanish to
automation by 2030. That's more than the
entire US population. This is a turning
point in human history that will be a
crisis for many, but an opportunity for
some. And I've laid out all of it in
four parts, including a playbook for
exactly what to do. And do not skip part
three, as that is your detailed list for
future-proofing your career. All right,
let's get right into what's going on and
how to position yourself to win. Welcome
to part one. What exactly makes a job
safe or doomed? In 2023,
PricewaterhouseCoopers
found that nearly 40% of all US jobs
involve tasks that can already be
automated by AI. And that was just 2
years ago. Imagine what that number is
today.
Harvey AI, a legal AI tool, is already
being used by 50 of the world's largest
firms to handle contract review and
legal research. QuickBooks essentially
put junior accountants out of work by
delivering an AI bookkeeper that
automatically categorizes expenses. And
Salesforce's Einstein GPT is automating
project management dashboards across
most of the Fortune 500, cutting layers
of middle management. Here is the brutal
truth. No matter how much time you spent
studying, training, or outright doing
the job, whether your current career
will exist on the other side of the AI
revolution or not, has nothing to do
with how hard you work to gain your
skills. It comes down to one simple
test. Can AI or a robot do your job
faster, cheaper, and better than you? If
the answer is yes, just as electricity
put lamplighters out of work, your job
is going to go away. Before we get into
the specifics of which jobs will last
and which will fail, let's look at the
underlying facts of what makes certain
jobs vulnerable and others resilient.
There is an underlying pattern, and once
you understand it, you'll be better
positioned to react quickly to the
inevitable surprises that are going to
happen.
A four-part pattern begins to emerge
when you look at the jobs that are
already being disrupted, one,
predictable and repetitive work is the
first to go. That's why data entry jobs
are already evaporating and why Goldman
Sachs estimates up to 44%
of legal work can be automated right
now. Two, work that requires trust,
creativity, or dexterity in the physical
world are going to be much harder to
replace. Robot plumbers will eventually
happen, but that's going to be a long
way down the road. Between the need for
trust and the requisite dexterity for
the job, that one is going to be much
harder to produce at scale. You're
looking at similar timelines for jobs
that require deep empathy and true human
connection. So, things like therapists
and daycare workers have a much longer
timeline than something like an
accountant. It is inevitable that AI and
robotics will augment their education
and safety capabilities, but outright
replacement is unlikely to happen
quickly. Three, government sector jobs
where efficiency isn't a key metric. I
hate actually including this one as it
is a catastrophic waste of taxpayer
dollars, but the truth is, much of
government is centered around offering
employment rather than focusing on
innovation and efficiency. It's somewhat
inevitable that as AI puts more and more
people out of work, the public sector is
going to step in and try to hoover up
some of that talent. And there will
almost certainly be increased political
division, but that presents its own set
of risks. So, that is a tomorrow
problem. Four, the jobs that use AI
directly and even more importantly, the
entrepreneurial opportunities that move
higher up the stack to deliver
proprietary solutions via AI. From
biotech to advertising, this is the
category of the future that offers the
biggest moat for those looking to
future-proof themselves. And we're going
to get into more detail on this shortly,
but think of it this way. There is a
huge difference between being a 9-5
mid-level designer who can be replaced
by Midjourney and a passionate
solopreneur who builds an entire
creative agency that deploys AI to
service clients' creative needs. Well,
this isn't exactly entrepreneurship in
the classic sense of scaling a big
company, it is what I think the future
of most entrepreneurship is going to
look like. This is a big part of the
reason that I now teach lifelong
employees how to launch their first
business. It is self-evident to me that
AI is going to force tens of millions,
if not hundreds of millions, of people
to do a gig entrepreneurship hybrid
where they customize a set of AI tools
for bespoke outcomes. The best at this
will make an absolute fortune and
everyone else will be stuck with their
hand out for some UBI, which I think
will be soul-crushing and ultimately
destabilizing at the societal level.
But, we'll talk more about that in
another video. I want to plant one last
flag. To all the content creators out
there, I'll give an honorable mention to
anyone who can build a true community
based on personality and what's known as
proof of humanity, the fact that you are
a real person. But, this is a super
niche solution and probably warrants its
own video, so right now I'm just going
to give it a nod. The real dividing line
between what lives and what dies will
change over time and rapidly. Honestly,
those who win in the future are going to
be those that have the ability to adapt
quickly. As the famous adage goes, it's
not the strongest that survive, nor the
most intelligent, but rather the most
adaptive to change. The stark reality is
that it's the rate of change with AI
that people are going to find the most
dizzying. The key will be to avoid the
obvious things that will be automated
early and pick a career that both
embraces AI and is likely to need a
human for a very long time. In a world
where everything is changing quickly,
there is no sense in making your life
even harder than it needs to be by being
short-sighted. And no story shows how
devastating being short-sighted can be
than the tale of two famous photography
companies, Kodak and Adobe. Kodak wasn't
just a photography company, it was
photography itself. At their peak, they
controlled 90% of the US film market and
employed over 140,000
people worldwide. And here's the kicker,
one of their own engineers built the
first digital camera prototype back in
1975.
He showed it to management and they
literally laughed. They told him not to
talk about it again because it
threatened their film business. Instead
of embracing the future
that they literally helped invent, they
buried it. They doubled down on what
they knew, film. And for a while, it
looked like the right move. The film
business was still massively profitable
and by 1996, Kodak was valued at a
staggering $28 billion. But then, the
digital wave hit full force and
eventually camera phones exploded and
Kodak's core business evaporated almost
overnight. By 2012, Kodak filed for
bankruptcy. What they failed to
recognize is the relentless
inevitability of technological progress.
Do not make that mistake. It stops for
nothing. Adobe understood that and went
the opposite direction. Instead of
protecting their past, they did
everything that they could to disrupt
themselves. When generative AI landed,
they didn't fight it. They launched
Firefly baking AI directly into
Photoshop, Illustrator, and Creative
Cloud. Instead of watching their
customers flee to AI startups, Adobe is
fighting to establish itself as the home
for AI-powered creativity. So far it's
worked. Since 2020, their stock has
grown nearly fivefold.
This is two stories from the same
industry,
but two very different approaches to
change. And that's exactly the choice
that all of us are facing right now in
our careers. You can cling to the skills
that worked yesterday, or you can adapt
and try to disrupt yourself. One path
ends in extinction, the other in growth.
Now, whatever you do, do not just stand
around waiting until 2030 to see which
jobs make it through the revolution,
because by then it's going to be too
late. The first wave of AI is already
hitting the shore. If you haven't
already reacted, you've missed that
wave. Retail, hospitality,
manufacturing, oil, finance, even some
government jobs are already being
replaced. You need to act now while you
still have an early adopter advantage.
So, welcome to part two, jobs that are
already dead or in decline. Since 2020,
the number of cashiers in the US has
fallen by over 350,000
as self-checkout and AI-powered point of
sale systems take over. Even in fast
food, AI is already gutting employment.
Wendy's new AI ordering system handles
86% of all orders without the need for
human intervention. McKinsey projects
that by 2030, nearly 1/3 of US workers
will need to switch occupations because
their current role no longer exists. The
dominoes are already falling. Retail and
hospitality are at high risk. More and
more hotels are experimenting with
replacing concierges with AI assistants
and automated check-in. Manufacturing,
we've already talked about that, falling
off a cliff. Offshoring was once the
biggest problem, but now the new problem
is automation. Dock workers in the like
are actively trying to stop it with
strikes and moronic demands, but the
reality is that what can be automated
will be automated. High-paying
white-collar jobs, once thought
untouchable, are proving to be on the
chopping block with everything else. Oil
and resource extraction is already
seeing a decline. Chevron and BP are
planning 25% workforce cuts by 2026.
While energy as a sector has a massive
future that we're going to talk about,
it will look different than the past.
The common denominator across all of
these industries that are at risk is
very simple. They run on patterns. And
AI, at its core, is a
hyper-sophisticated
pattern recognition machine. Given
enough data, AI can spot a pattern
virtually anywhere a pattern exists, and
it can do it much faster and more
accurately than any human could ever
dream of. That's why the first wave of
jobs to disappear are going to be the
ones that follow predictable workflows.
Cashiers, customer support reps, data
entry clerks, paralegals reviewing
contracts, accountants categorizing
expenses. These are the types of jobs
that are extremely vulnerable, and in
fact are already being hollowed out.
Nobody understands that better than Elon
Musk, who is at the frontier of AI. At
Tesla, Elon made the very controversial
call to reject lidar, the expensive
laser-based 3D mapping system other
companies have invested so heavily in.
Instead, Tesla cars use cameras and
neural networks to recognize, you
guessed it, patterns in the world and
driver behavior, the same way that
humans do. Lane markings, stop signs,
merging cars, they all follow repeatable
rules. And Tesla is a data collection
juggernaut.
They have now logged billions of miles
of real-world driving data to train
those models. The more miles Teslas
drive, the better the system gets at
predicting what comes next.
The same logic drove Elon's purchase of
X, formerly Twitter. It wasn't just
about owning a social network. It was
about owning the world's largest stream
of raw human behavior. Hundreds of
millions of people posting short bursts
of text, images, and reactions every
day. It's one of the richest data sets
for training AI to recognize patterns in
language, sentiment, and social
interaction. Tesla teaches machines to
read the road. X teaches machines to
read the crowd. Both strategies are
built on the same bet.
Pattern recognition is enough.
And here's the terrifying implication.
Your job is just another data set of
human patterns. Filing insurance claims,
a pattern. Processing invoices, a
pattern. Resolving customer complaints,
a pattern. Even diagnosing patients from
symptoms and scans, it's all just
pattern recognition.
If Elon is willing to bet Tesla's future
on cameras and pattern recognition
instead of lasers and 3D mapping, you
should take heed. If patterns can
replace a human driver hurtling down the
freeway at 70 mph, then patterns can
absolutely replace you sitting at a
desk. And that's exactly what's
happening. The next wave is inevitable.
Truck drivers as autonomous fleet scale,
journalists and content mills drowned
out by AI-generated
articles and slop, large swaths of law
and finance automated, and entire layers
of middle management wiped out by AI
dashboards. It's not science fiction,
it's the physics of AI. Machines don't
need to think like us to replace us.
They just need enough data to see the
patterns that we can't. And the more
data they get from your job, your car,
your tweets, and everything else we kick
off simply by living our lives and doing
our jobs, the faster they learn. That's
why pattern-based jobs are dying. And by
2030, entire categories of work we once
thought essential will simply no longer
exist. So, start planning now for part
three, the jobs of the future.
AI is causing a lot of panic right now,
but consider this. In the 1800s, entire
towns relied on knocker-uppers. I cannot
believe that's what they were called,
but it is. People paid to walk the
streets and tap on windows with long
sticks to wake workers up for their
shifts. Alarm clocks came along and
poof, they were out of work. Before
refrigeration, cities employed thousands
of ice cutters, men who saw giant blocks
of ice from frozen lakes and hauled them
into warehouses. Fridges killed that
job, but also spawned the modern cold
chain logistics industry that employs
millions today. The Industrial
Revolution, it wiped out handloom
weavers who couldn't compete with
textile machines and a whole lot more,
but it also created hundreds of
thousands of jobs in factories,
shipping, and global trade that simply
didn't exist before. This is known as
creative destruction. While I expect
that will be very cold comfort for
anyone who dedicated years of their life
to mastering a skill that's just going
to go away, here's the point. For every
job that disappears, entire new
categories will emerge. Electricity may
have killed lamplighters, but it created
electricians, radio operators, computer
engineers, and the entire modern tech
sector.
There are inevitably going to be many
incredible things on the horizon for
those willing to adapt. For instance,
cybersecurity spending is projected to
hit 2 hundred billion dollars annually
by 2030. Demand for AI and machine
learning specialist has surged by 75%
just since 2020 and LinkedIn says it's
now the fastest growing job category
worldwide. And even if you're not that
tech-savvy, the US Bureau of Labor
Statistics projects the jobs for wind
turbine technicians will grow by 45%
this decade making it one of the fastest
growing jobs in America. In healthcare,
AI-driven drug discovery has cut
development timelines from 6 years to 18
months opening the door to millions of
new biotech jobs. And here's the kicker.
Upwork reports freelancers with AI
skills earn 40% more on average than
their peers. Proof that the winners
aren't just giant companies, they're
individuals who learn to wield these
tools. Now, here's a sector-specific
breakdown of where the data points that
human jobs are going to thrive the
longest. One, AI builders and
architects. As mentioned, demand for AI
and machine learning specialist is going
to continue to climb. It's already
surging and LinkedIn ranks it as the
fastest growing job category worldwide.
Just like during the Industrial
Revolution, the most future-proof jobs
were in factories and ancillary jobs
tied to industrial manufacturing like
shipping, today, as AI bears down on our
familiar economy, the best place to seek
refuge is in AI itself. And it's not all
just PhD-level engineers. We're already
seeing the rise of novel jobs like
prompt architects, people who understand
how to coax the best outputs from AI
models, which can be shockingly fickle,
going from absolute trash to
unbelievable
simply by modifying the prompt. It's a
strange new skill set to be sure, but
it's quickly becoming a career in its
own right. We'll get back to the show in
just a second, but first I want you to
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and use code impact. And now, let's get
back to the show. Also, at least for
now, there is a huge gap between the
baseline output of AI and a completed
project. As a game developer, I can tell
you right now this gap is massive. So,
while AI has sped us up dramatically and
lowered our cost dramatically, we still
need humans to move game assets through
the pipeline as right now there's no one
solution to rule them all. This creates
huge opportunities for employees and
vendors to make themselves indispensable
by mastering the tools and filling in
the gaps where AI currently fails. The
specifics of where the gaps are are
going to change rapidly, but an
adaptable person will remain useful for
years to come. Two, cybersecurity and AI
safety. As AI grows more powerful, so do
the risks. Cybersecurity spending is
projected to hit $200 billion annually
by 2030. Companies, governments, even
hospitals are scrambling to defend
against AI-driven hacks and deepfake
scams. Then, there's AI safety itself.
AI will not accidentally be benevolent.
It will need human intervention to
ensure that it remains a tool and not a
slave master. There will be huge demand
for people who can figure out how to
align, regulate, and safeguard these
systems now and into the future as the
landscape evolves. Three,
energy, clean energy, and climate tech.
Not every future-proof job is digital.
As mentioned earlier, jobs like wind
turbine technician are already growing
rapidly. Also, if China is any
indication, solar energy is going to be
a ginormous sector that will account for
a massive amount of our energy
production in future years. From design,
installation, distribution, and
maintenance, this will likely become a
huge sector in its own right. And while
I don't expect nuclear to grow
as much as solar, that too will almost
certainly be a part of not only meeting
the energy demands of AI itself, but
meeting green standards without blowing
out the cost of living. AI is already
being used to optimize energy grids,
predict equipment failures, and even
design better batteries. The energy
sector is going to continue to boom, and
given the global obsession with climate
and the central role that energy in
general is going to play in building the
world of abundance that everyone is
counting on AI for, this is an industry
that one would do well to consider.
Four, healthcare and biotech innovators.
Most people want to live forever or at
least live a long and healthy life. And
as they say, a healthy man has many
dreams, but a sick man has but one.
Healthcare has been absolutely gagging
for the kind of massive data set pattern
recognition that is only now possible
with AI. And as such, AI will, for sure,
lead the way on healthcare advancements.
There will be copious amounts of money
flowing into the sector in the hopes of
mapping how the human body actually
works and discovering new drugs and
breakthrough cures. And so far, AI isn't
so much replacing doctors and
researchers as it is arming them with
superpowers. For instance, AI and
robotics is allowing doctors to perform
surgeries remotely over the internet.
Now, it is obviously early days, but
this is an area ripe for the creation of
a slew of currently unimaginable new
jobs. Five, entrepreneurs and
solopreneurs who leverage AI. Here's
where the biggest hidden opportunity
lies. You don't need to be a Fortune 500
CEO to win. Individuals who learn to
wield AI as leverage are already
outpacing entire teams. Some one-person
businesses are now able to deliver what
used to take agencies of 10 or 20
people. The future isn't just about
working for AI-powered companies. It's
about using AI yourself to build on your
own. Whether that's a design studio, a
niche SaaS
app, an e-commerce store, or even a
YouTube channel, the barrier to entry
has collapsed.
The leverage that AI gives is
unprecedented. To round this all out and
be a little more exhaustive, here are
some additional categories that are
likely to thrive in a fully AI-enabled
world where humans oversee, augment, or
provide irreplaceable elements like
empathy, judgment, and physicality.
According to the World Economic Forum's
Future of Jobs Report in 2025, PwC's
2025 Global AI Jobs Barometer,
Microsoft's Occupational AI Impact
Study, McKinsey's analysis, and US
Career Institute's list of AI-proof
jobs. In addition to the things I've
already mentioned, the categories that
are likely to remain viable in the face
of AI are: skilled trades and
maintenance, so think electricians,
mechanics, construction workers, things
that require physical dexterity and
on-site problem-solving, things where
humans are likely to desire connection
with another human, so think mental
health and social services, counselors,
social workers, roles like that are
already showing signs of 27% growth. AI
can handle the admin for sure, but so
far the human connection leaves people
wanting. This may change over time as
people grow more accustomed to dealing
with and trusting AI, but odds are that
proof of humanity is going to remain
desirable for a long time here,
especially for jobs that interface with
people that grew up before AI. Robotics
and engineering will also be resilient,
as will agricultural equipment
operators, designing and maintaining AI
hardware, and you can expect a boom in
farming and green tech. And while not
exactly a high-powered career, the
creative and performing arts are likely
to do well given the odds that proof of
humanity will likely be valued.
Choreographers, artists, performers,
storytellers are all likely to hold on
to at least niche appeal. Despite a high
probability that mid and low-tier
creativity is going to get crowded out
by AI creations and outright slop,
top-tier creators will continue to
thrive given that some subset of people
are going to reject AI creations
outright and prefer instead proof of
humanity. So, while millions of jobs are
going away, millions more are going to
be born. And the key commonality, these
categories are sectors like energy where
the mere use of AI will require massive
expansion of the sector itself, or where
a human obsession is met like longevity
or green energy, or where there is human
AI symbiosis. For instance, where AI
handles the patterns, but humans remain
to provide the oversight and creativity.
A combination that according to
PricewaterhouseCoopers
has led to an average of 3x revenue
growth in AI exposed sectors and a 56%
wage premium for skilled workers.
All right. Now that we've got a detailed
map of where the job landscape is headed
as AI takes over the world, let's put it
all together into a playbook of how to
move forward well. So, welcome to part
four, the playbook for winning in the
age of AI. 200 years ago, over 70% of
Americans worked in agriculture. Today,
it's less than 2% Entirely new
industries absorbed everybody else. In
the 1990s, there were zero web
developers. Today, there are over 23
million worldwide. Since 2000,
smartphone adoptions has created an app
economy worth over $6 trillion.
15 years earlier, no one even knew what
an app was. Every wave of disruption
wipes out jobs, no doubt, but it also
creates entirely new categories and new
opportunities for not just employment,
but for wealth creation for the people
willing to learn and adapt. It
absolutely breaks my heart that we have
taught multiple generations to be mad
about their lot in life instead of doing
something about it. That is so
disempowering. So, consider this section
my attempt to jolt you back into the
driver's seat. I'm not saying that you
shouldn't be mad as hell about the state
of the economy. You should. Our current
economic deck is stacked against the
young, but the only thing that will make
it worse
is resigning to it. There are steps that
you can take even during this AI fuel
time of massive disruption and win while
others panic.
Here are the steps. Step one, audit your
job and adapt. We've gone into great
detail here about the future of the jobs
market because having a stable,
future-proof job is the safest bet. I
get that, especially if you have family
or even just debt. So, start there. Get
brutally honest about your current
position. Apply the AI test. Is your
work predictable, repetitive, or
reducible to patterns? If the answer is
yes, don't panic, but put together an
immediate action plan to get somewhere
safer. Jobs that lean heavily on trust,
dexterity, empathy, and or proof of
humanity have much longer timelines.
Anything tied to AI itself, a growing
industry, or a future-facing human
obsession like biotech and clean energy
are also great places to consider.
Regardless of what avenue you head down
though, start mastering AI in any and
all relevant ways to your chosen
profession. The key is to move early
because waiting until the layoff notice
hits is like waiting to buy flood
insurance after the hurricane has
already hit. Step two, build a path to
wealth. Build a path to wealth. Once
your basic needs are met with a J O B,
it is time to focus on building wealth.
Jobs are always going to be volatile.
Learn to control your destiny through
the following three pillars. Pillar one,
become a builder. Modern
entrepreneurship with AI leverage. A
Fidelity study found that 88% of
millionaires are self-made. But, there's
a catch. Almost all of them got there by
building businesses or investing in
assets, not by climbing the corporate
ladder. Futurist Peter Diamandis
constantly reminds people that the
surest way to predict the future is to
invent it.
The same is true with jobs. The surest
way to ensure you always have a job is
to create it through entrepreneurship.
Now look, I know not everybody is made
for this route, but I believe AI will
make the rate of change so extreme that
many will be forced to create their own
jobs just to stay gainfully employed.
Remember, no one's coming to save you.
And wealth has historically been built
by creating businesses. Rockefeller,
Carnegie, Musk, Jobs, Bezos. All of them
got rich by building. If you have the
stomach for it, prepare now. The
leverage that AI gives you is insane.
Just look at AI-native startups like
Jasper or Synthesia, scaling to over
$100 million in annual recurring revenue
in just 2 to 3 years. Or
the 20-something-year-old who raised $25
million for his AI startup. If you just
can't bear to build something on your
own, then try pillar two, a side hustle
for cash flow resilience.
Being an entrepreneur can be
overwhelming. Trust me, I know that fact
intimately. But in the AI age, a side
hustle takes less time and can pay off
more than ever. At least right now in
this window where most people still
aren't taking AI seriously enough, you
have an opportunity to get first mover
advantage. Freelancers today have the
opportunity to use AI to outproduce
entire teams working without it. YouTube
creators are also scaling their content
output with AI workflows, hitting
audiences at a speed the old guard just
cannot match, and whether you do pillars
one and two or have a reaction to them
that's so severe you sit them both out,
there is absolutely no excuse for not
doing pillar three. Pillar three is
where I get tyrannical because it is
lunacy to not do it. It is literal
financial suicide to not do pillar
three.
Here it is.
Pillar three, own assets. Over the last
200 years, US stocks have returned, on
average, of 6.5% per year above
inflation. No job can match that kind of
compounding. Einstein is often quoted as
saying, "Compound interest is the eighth
wonder of the world. He who understands
it earns it. He who doesn't pays it."
Whether we actually said it or not is
moot. It's a true statement, and if you
don't own assets, the government will
steal your purchasing power through
inflation. I've covered this topic
extensively, so click here if you want a
full video just on this principle. Now,
as a quick primer, you don't have to get
fancy. Simply consistently investing in
the S&P 500 for a couple of decades has
allowed millions of people to turn
relatively small amounts of money into
life-changing wealth. You don't have to
invest a lot, but you do have to invest
consistently and for the long term.
Otherwise, every single day your money
is becoming worth less and less.
In the AI age, this doesn't change. If
anything, it becomes more critical
because in times of great uncertainty,
ownership remains the surest thing.
Governments will continue to deficit
spend and print money, and as long as
that's the case, you absolutely must own
assets to escape the damage of
inflation. All right, in conclusion,
it's time to pick a side, extinction or
evolution. AI is not a fad. It is
already changing our world faster than
anything that's come before by orders of
magnitude, and it's only going to get
faster. Change will truly be the only
constant. It will do you no good to
lament over the death of the old world.
Technological progress is unstoppable,
and it doesn't care how long you've
worked, how much you've studied, or how
nostalgic you are for what used to be.
It cares only about one thing. Can you
produce outcomes that AI can't? You have
to find a path to answering that
question, yes. Even if in the final
analysis that becomes impossible, it's
not impossible today. Therefore, anyone
who quits out of fear will get devoured
by those more resilient and adaptable
than the people who stand still.
Long before AI puts you out of work,
standing still will see you gobbled up.
You've seen the map now.
You know the rules. Easy to identify
patterns equals peril. Trust, dexterity,
empathy, human obsessions, and areas
where people will care about proof of
humanity
equal a longer timeline.
Don't worry about perfectly mapping the
future. It's changing way too rapidly
for that. Just focus on being
directionally correct. Audit your job,
adapt your skills, execute on both
stabilizing your immediate economic
needs while building a long-term path to
wealth via assets and ownership. This
isn't about hype. It's about physics.
The physics of AI, the physics of money,
the physics of progress, the physics of
compounding, the physics of progress and
change themselves. Consider this the
starting gun for a race that goes
something like this. Week one, run the
AI test in your career. If it fails,
pick a pivot lane. Month one, enroll in
one course, master one AI tool, and buy
your first share of an index fund. Month
three, ship one offer, start
freelancing, deliver a product or
service using AI as much as possible, no
matter what you do. Month six, raise
your prices, automate what you can, and
increase your rate of investment into
assets. By the end of year one, look
back and realize you didn't just stand
still or panic like the vast majority of
humanity is going to do. You read the
room and adjusted while everyone else
drown in a tsunami of AI driven change.
Now, that's obviously a gross
oversimplification, but it's
directionally correct and for now that's
enough.
Every disruption in history crowned a
new class of winners. The difference now
is speed. What used to take decades will
happen in months.
Which means the distance between where
you are and where you want to be has
never been shorter.
You just have to move and move now.
The meteor is screaming towards Earth.
Find cover now. Extinction or evolution
is a choice. Remember, the event that
killed the dinosaurs gave rise to the
age of mammals because we were the most
adaptive to change. Audit, adapt, build,
own, start today. All right, if you guys
want to see me explore ideas like this
live, be sure to join me on YouTube live
at 6:00 a.m. Pacific time Wednesdays and
Fridays. Until then, my friends, be
legendary. Take care. Peace. If you're
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learn more.
In the first 5 months of 2025 alone, US
employers announced nearly 700,000
job cuts, an 80% spike from last year.
That's over 4,000