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sl6bq1iC56Y • AI Will Erase 300 Million Jobs By 2030 (Do This NOW To Survive)
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It took electricity 46 years to reach
one quarter of American homes. The
internet seven years. Chat GPT did it in
just 5 days. In 2023, more people talk
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 one 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 chat bots 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 3000
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, Price
Waterhouse Coopers 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 lamp lighters 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 will 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
futureproof 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
nine-to-five mid-level designer who can
be replaced by midjourney and a
passionate soloreneur who builds an
entire creative agency that deploys AI
to service clients creative needs. While
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 survived, 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 selfch checkckout 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.
McKenzie projects that by 2030 nearly
onethird 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
concieres with AI assistance 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. Doc workers and 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 hypers 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, parallegals 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 LAR, 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 realworld 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 a 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 m an
hour, 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 swast
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 hand loom
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 lamp lighters, 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, cyber security spending is
projected to hit $200
billion annually by 2030. Demand for AI
and machine learning specialists 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
techsavvy, the US Bureau of Labor
Statistics projects that jobs for wind
turbine technicians will grow by 45%
this decade, making it one of the
fastest growing jobs in America. In
healthcare, AIdriven 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 specialists 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 futureproof 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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Get the Bill box plus free bacon for
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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, cyber security and
AI safety. As AI grows more powerful, so
do the risks. Cyber security spending is
projected to hit $200 billion dollars
annually by 2030. Companies,
governments, even hospitals are
scrambling to defend against AIdriven
hacks and deep fake 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 slavemaster.
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. Healthc care 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 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 SAS 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, McKenzie's analysis, and US
career institutees 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 Price
Waterhouse Coopers has led to an average
of 3x revenue growth in AI exposed those
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 fueled 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, 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 D.
Amandis constantly reminds people that
the shest way to predict the future is
to invent it. The same is true with
jobs. The shest 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 Sesthesia
scaling to over $100 million in annual
recurring revenue in just two to three
years. Or the 20some 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 an 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 he
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 shest 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 drowned in a tsunami
of AIdriven 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 a.m. Pacific time, Wednesdays and
Fridays. Until then, my friends, be
legendary. Take care. Peace. If you're
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