The Only 5 High Paying Jobs Safe From AI Through 2030

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Apr 16, 2026 #finance #financement
For the last 300 years, every new technology came after people who worked with their hands.
In the 1700s, the steam engine came for farmers.
In the 1800s, the assembly line came for the craftsmen.
In the 1900s, the assembly line and robots came for factory workers.
And in the 2000s, offshoring came for manufacturing workers.
But today, for the first time in history, that's changing.
Because AI is now coming for white-collar workers first.
Now, I get it. I'm just a random guy on YouTube.
But you don't have to take my word for it.
Listen to what the people who are building these AIs are saying.
It sounds crazy. But remember, four years ago, ChadCPT didn't even exist.
And this is where a lot of people say,
But if you listen to the CEO of the largest AI hardware company in the world,
NVIDIA, he'll tell you that's not a good idea either.
Take a listen.
And now you might say, well, I'm an attorney.
I'm an accountant. I'm an engineer. I'm a doctor.
And this is going to be years away.
It's not going to impact my job where I have to think to do my work.
Well, if you ask the AI chief at Microsoft, he'll tell you
that AI will be able to automate nearly all white-collar work by 2028,
just 18 months from now.
And we're already starting to see it happen in Silicon Valley,
with tech companies replacing human employees with AI agents.
Now, at this point, you have three options.
Option number one is you can ignore it and say,
That's never going to impact my job. AI can't impact me.
Option number two is you can get angry and get upset at AI and hate AI
and say that this is so stupid and protest it.
And option number three is you can learn how to use the skill.
That way, you can get ahead of the shift.
That way, you can use it to your advantage.
And by the way, one of these three people are going to become
incredibly wealthy because of this shift with AI and technology.
Want to guess who?
And that's why in this video, I want to do two things.
Number one, I want to talk about the five high-paying jobs
that AI is least likely to replace by 2030.
And number two, I want to talk about how you can use this shift with AI
to grow your wealth faster.
And high-paying job number one is a career that was forgotten
by a lot of millennials, and that is skilled trades.
That is the plumbers, the HVAC technicians, and especially the electricians.
Right now in the United States, we have a big shortage of these tradespeople
because a lot of millennials and even Gen Zers thought,
well, who wants to be an electrician or a plumber?
But there's two reasons why these skilled trades
have now become a lot more valuable.
Number one, an AI or robot cannot come in and fix your plumbing
or fix your electrical just yet.
Maybe it will be in the future, but today they cannot.
Number two is because of this investment into AI,
we need a lot more data centers.
We need a lot more energy because all of that AI needs a lot more electricity.
It needs a lot more different types of energy,
which means we need more electricians
to be able to build the electrical systems to power the AI.
And because of how aggressively and how fast these tech companies
want to build these energy systems,
these construction jobs and skilled workers are now six-figure workers
trying to build this AI energy system.
And if that wasn't convincing enough, Wall Street is now starting to get involved
because BlackRock, yes, the biggest investment asset manager in the world,
just invested $100 million to train plumbers, HVAC technicians, and electricians
because there's such a big shortage
and they see that as a big investment opportunity for the future.
So because you cannot tell ChadCPT to go rewire a circuit
and because ChadCPT needs so much electricity, which we don't have,
these skilled trades have now become a much more valuable skill.
By the way, we've been covering all the updates with AI
and the economy in my Market Briefs newsletter.
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High-paying job number two that's not likely to be replaced by AI by 2030
is sales and relationship experts.
Now, I'm not talking about the telemarketers or the call center salespeople or the retail salespeople.
Those are very likely to be replaced by AI.
I'm talking about the high-end, high-quality, B2B salespeople, the relationship people,
the people that are actually building relationships with companies to do business with one another,
because those are not going to be automated by 2030,
because these are people talking to people to come up with a solution
on how they can work together to build a business proposal.
And I've seen this one play out firsthand.
So you may know that I run a company called Briefs Finance,
and we are a financial technology company, and we are an AI-forward company.
This started in 2025, because in 2025, we used to be Briefs Media.
And back then, we were a media company focused on creating news,
like our Market Briefs newsletter and articles on our website.
But when I saw what AI was doing, I realized that if we didn't change what our company did,
we were going to be bankrupt within five years.
So we became Briefs Finance, and we started to use a lot of AI tools.
And one of the things that I saw that our company would not be able to automate
is our sales side of our business, because one of the things that we sell
is research to large institutions and financial advisors and registered investment managers.
So we sell them research, and these are businesses that we're trying to sell our research to,
and we were thinking about, are there ways that we can use AI to automate this process?
But when we're talking to these business owners, they have to understand what we're doing,
and they don't want to talk to a robot.
They want to talk to a human, because it is a relationship-based product, a relationship-based
sale, where people get to know one another and how we can craft a solution to provide
better research to your investment firm.
That way, you have the better research to provide better returns for your clients.
And so we figured out that that's one of the things that we don't want to automate,
because if we did, it would hurt sales.
Because not only would we not be able to do as many sales, but we wouldn't be able to
maintain that level of relationship, because these are the type of people that want to
talk to another person and also sometimes come into our office to do business, and that's
one of those things that we cannot automate.
And the key difference between these sales jobs that are not going to be replaced and
that are going to be paid even more than before versus all the other average salespeople that
have a much higher chance of being replaced is that these sales are built off of trust
and off of a relationship versus the average sale was done off of data.
You can automate the data, but you cannot automate the trust.
Number three are AI implementation experts or AI engineers, people that work inside of
a company to help them use AI better or to stay on top of AI or to help their employees
use AI even better.
And I'm telling you this one from personal experience as well, because as a company that
is AI forward, I see how many companies are not using AI.
They're going to want to start spending more money to see how they can use AI, which is
going to create a great job for many people who understand how to use AI and can work
inside of a company to get a company hip with AI.
Then you have the companies that are using AI that want to make sure their employees
are using AI, that want to make sure that they are at the cutting edge of AI.
Again, that creates great job security for the person that understands it, that can work
inside of a company to help the company use AI to the best way possible.
We as a company have spent an incredible amount of money on this role right here.
And it's not slowing down.
In fact, it is always increasing because we want to understand how we can use AI in the
best way, shape and form as possible, because we want to be as efficient as possible.
We want to be as productive as possible and get the best return on AI as possible.
And if you understand how to use AI and you can teach how to use AI, well, now all of
a sudden you've created a lot of job security because 50% of America right now don't use
AI.
The other 50%, well, only some of them are actually using it well, but a big chunk of
the 50% of people that are using AI are just using ChatGPT to try to draft their emails,
which creates a whole world of opportunity.
Because what we're going to see happen over the next 12 to 18 months is more and more
businesses are going to wake up and realize that, oh, our competitors are getting ahead
of us.
How are they doing it?
They're using AI to be more efficient, to get more work done.
We better start using this AI stuff.
That way we can get more efficient and be more productive and make more money.
And the person that can help the company use the AI, the AI implementation, the AI
engineers, not only are you going to have job security, but you're going to be able
to make a lot of money while doing it as well, because companies will need your expertise.
And there aren't universities that can teach it because by the time a course is done, all
the knowledge will have changed.
Number four, this was a little bit cheating, but number four is being an entrepreneur,
creating your own destiny here, creating your own job.
If you don't like your career, this is a great opportunity because AI allows you to do more
stuff as one person.
We've been seeing this race for seeing a one person unicorn company, meaning a one person
company that is a billion dollar company with zero employees.
That was an unheard of concept just a few years ago, but today we have so many companies
trying to do that.
Why?
Because of AI.
Now you can do so much more stuff.
What does this mean?
AI is going to take jobs, but if you own the company, well, now you are employing the AI.
I've heard stories about dentists getting worried about AI and robotics taking their
jobs.
Well, if you own the dental practice, you were employing the robot that's doing the
cleanings.
If you own the business, you don't have to worry about being replaced by AI.
If you were using AI, because now you are the one that is employing AI.
And notice what I said very carefully.
I said entrepreneur.
I did not say the CEO.
And I said that on purpose because we're starting to see more and more smaller companies also
use AI to replace or use as their C-suite.
So instead of hiring a CFO, a chief financial officer, how about we just hire Gemini or
Perplexity to do it, or ChadCPT?
Or instead of hiring a CTO, a chief technology officer, how about we just hire Claude?
And we're starting to see more and more of the smaller companies start to do that.
And number five is healthcare.
Now, if you remember in the beginning of this video, I shared you a clip from Elon Musk
where he said that doctors are going to be replaced by AI and surgeons are not going
to have a job because of robotics.
But there's a part to that that I want to touch on, which is healthcare goes beyond
just doing an operation.
There's a lot of physical touch involved with medicine.
There's a lot of actual relationships in medicine as well.
There's a lot of healing involved in medicine.
It's one of the biggest industries in the United States.
We have an aging population in the United States, and we're going to need more healthcare.
And a lot of the healthcare is not just a robot doing a thing, it is listening, empathy,
and helping somebody with something, with physical touch, with an actual relationship
that we can help heal somebody.
Now, I get it, medicine isn't always the most healing, but you get the idea that there's
going to be a need for healthcare beyond just robots doing a task.
And that empathy, that touch, that actual listening is something that a robot cannot
provide the same care or relationship that a human can.
Which is why healthcare, not only is it a growing field with the growing aging population
and with the changing in medicine, but it is going to be a more needed field because
some people will choose not to see a robot.
Some people would prefer to see a robot.
Like me personally, I love asking AI about health questions, but if I'm working with
a trainer or a physical therapist, I would rather work with a human who specializes in
what I want to get done rather than working with a robot.
Now, I want you to notice the pattern with these jobs because there's a few key things
that AI is going to have a very hard time replacing.
That includes things like physical touch, that includes things like relationships, that
includes things like trust.
And of course, it includes things like owning and building the AI tools, but you can start
to see the ideas.
That human touch, the human relationship, and the human trust, that is an element that
AI is going to have a very hard time replacing.
And those are the high paying jobs that are going to create opportunity for a lot of people,
especially when it comes to things like skilled trades, especially when it comes to things
like sales and relationships, especially when it comes to things like implementing the AI,
especially when it comes to things like owning the business, and especially when it comes
to healthcare, which creates opportunity on the job side of things.
Now, let's flip the script a little bit, because what if you want to use AI to grow
your wealth even faster?
Now, yes, if you can excel in these things and use AI, it is going to help you accelerate
your income and keep even higher job security.
But if you wanted to invest into the AI industry, there are ways for you to do that as well
without trying to find the next NVIDIA, trying to find the next Amazon, and trying to find
the next Tesla.
And so what I'd like to do now is talk about different ways that you can invest into the
AI industry without trying to find the perfect stock to invest in, because the reality is
AI is going to change the economy.
Now, sure, there are concerns about AI being a bubble, and it could 100% be a bubble.
The internet was in a bubble in the late 1990s, and then the internet bubble popped in the
year 2000, and then the internet stock market crashed between 2000 to 2002, but the internet
didn't go away.
In fact, the internet got stronger, and every single day today, people are using the internet
more than ever before.
But the internet companies that were high value, that had too much debt, that were based
off of speculation, they failed.
So there's a chance that we could see an AI bubble popping again, but that doesn't mean
that AI investment opportunities are not a futuristic opportunity.
It just means you have to understand how asset cycles work.
So if you were interested in investing in AI, I'm going to go over some specific examples,
but again, I cannot tell you what to invest in.
Investing has risks.
You are never guaranteed to make money when you invest, which is why you should never
invest more than you're willing to lose, and never blindly trust a random guy on YouTube.
My goal is not to tell you what to invest in.
It is just to show you how you can start thinking like an investor, because if you believe that
AI is going to be more profitable in the future, and you want to invest into these AI companies,
there are ways for you to do that, and let me go over some examples.
Number one and most broad is investing in QQQ.
This is going to give the exposure to the NASDAQ 100, which is the group of the 100
largest companies in the stock market that are not financial, which means this is primarily
tech companies, and so if you want the broadest exposure into tech, QQQ is one of the ways to
give you exposure to that.
Now, the thing you have to remember here is that in general, tech is more volatile,
and when you invest in something like QQQ, you're investing in the broad economy,
but because it's primarily tech, it is going to be more volatile than the general stock market,
which means when the stock market goes up, this generally goes up even higher than the
regular stock market, and when the stock market goes down, this generally falls even
faster than the general stock market, and that's the reason why a lot of people get
scared.
It's because they see these huge swings in the market, but if you're willing to invest
for the long term, what we have seen is that QQQ has actually outperformed the general
market.
The mistake is when it goes down, it crashes hard, and people panic, and they sell, but
if you believe that technology is going to be bigger, 5, 10, 15, 20 years in the future,
then this could be a good investment for you for the long term.
Number two, if you want to invest more directly into the AI space, one example of that is
AIQ.
This is an ETF that is created by Global X that's giving exposure to artificial intelligence
and technology companies.
This is giving exposure to the AI infrastructure, AI software, and AI-enabled companies.
If you wanted to invest more in the AI plus the robotic side of things, an example that
you can consider investing in is BOTZ, bots.
This is an ETF that's created by Global X as well that's giving exposure to the robotics
and artificial intelligence ETF.
This is going to give you exposure to AI and physical automation, which is the robots trying
to do the things that humans are doing.
But maybe you want to invest more into the backbone of AI.
This might be something like the semiconductors, because in order to power any of this technology,
we need semiconductors, and there are ETFs that can give you exposure to the semiconductors.
For example, SMH.
This is an ETF that is created by VanEck that is giving exposure to semiconductors companies
as things like NVIDIA, TSMC, Broadcom.
These are the chips that are powering all the AI.
Or another way for you to invest into the backbone of AI would be to invest into the
data centers.
Because now, anytime you enter anything into ChatGPT or Cloud or Gemini or Pulplexity,
all of that information has to be stored somewhere.
It's not stored in the cloud in the clouds, it's stored in the cloud in a physical data
center.
And now, as we're starting to invest more and more into AI, more people are using AI,
that's more data that has to be stored into a physical data center.
And you can invest into these physical data centers.
There are ETFs out there like DTCR.
This is created by GlobalX, which is going to give you more exposure to the data center
business and the digital infrastructure business, which is, again, a part of the backbone of
AI to exist.
But that's not all.
In order for AI to work, in order for these data centers to work, it needs a lot of energy,
specifically electricity.
Well, you can invest in the electrical grid.
You can invest into these electricity companies that are producing the power for AI, because
as AI uses more energy, because while ChatGPT requires a lot more power than a Google search
does, you can invest in the energy infrastructure.
For example, GRID, grid.
This is an ETF created by First Trust, which is giving exposure to the companies that are
building and modernizing the United States power grid, which is working to power all
these data centers.
But that's not all.
In 2026, we're seeing a big shift into nuclear energy beyond just electrical energy.
We're now seeing some of the biggest tech companies in the world.
Companies like Microsoft and Google and Amazon are now investing into their own nuclear power
plants to be able to power their AI systems, to be able to power their data centers.
And well, you can invest into the nuclear energy space as well through ETFs like NUKZ,
nukes.
This is going to give you exposure to the Range Nuclear Renaissance Index ETF, which
is going to give you exposure to that nuclear industry.
So what we talked about in this video is how AI is changing the white collar workforce
for the first time we've seen ever in history.
And there are going to be certain jobs that are going to be less at risk than others.
Which ones?
Well, we talked about things like investing in skilled trades, because not only can AI
not fix the electrical grid yet, but the AI needs more electricity and that creates more
demand for these types of skilled trades jobs.
And now we're starting to see more of these six-figure construction workers due to these
skilled trades.
We need more sales and relationship people, not the people that are doing the call centers,
but the people that are actually building relationships for the higher enterprise sales,
the B2B sales, because that's built off of trust and relationships, which is something
that AI can't do.
Then we need the AI implementation people.
These are the people that are working inside of a company to show them how they can use
And it is the entrepreneur, the people that are actually owning the business that are
employing the AI agents to do work.
And we're starting to see for the first time in the history of time, people talking about
building a one-person unicorn business, meaning a one-person billion-dollar company.
How?
Because instead of having employees, they have AI agents.
And then last, but definitely not least, is the healthcare space, because healthcare requires
a lot of physical touch, that requires a lot of empathy, and it requires a lot of that
relationship that robots just can't do yet.
And there's a lot of people that would still rather work with a human when it comes to
healthcare than they would a robot.
And as we start to see this aging population, there's going to be more need for that healthcare
as well.
By the way, we've been covering all of this in Market Briefs.
If you haven't subscribed to Market Briefs and watched my investing masterclass yet,
that link is for you down in the description.
And then we talked about different ways for you to invest into the AI space.
Again, I can't guarantee what's going to happen in the future.
I don't know if we're going to see the AI bubble collapse.
I don't know if we're going to see the economy go down.
I don't know if we're going to see the market boom.
There's a lot of things that can happen.
But my goal is to help you start thinking like an investor, because my goal is not to
tell you what to do.
My goal is to arm you with the knowledge.
That way, you can be a smarter investor yourself.
So we talked about seven different ways that you can invest your money.
We talked about investing broad into the tech space by investing into the NASDAQ 100 with
something like QQQ.
We talked about investing more into the AI space with an ETF like AIQ.
We talked about investing in AI plus robotics with an ETF like BOTZ.
We talked about investing into the semiconductor space with an ETF like SMH.
We talked about investing into the data centers which are powering the AI with something like
DTCR.
We then talked about investing into the electrical infrastructure grid of the United States
with something like GRID.
And we talked about investing into the nuclear energy space with something like NUKZ.
Now, if you got value out of this video, the best thank you is a referral.
So if you could, please share this video with a friend, family member, colleague, or fellow
investor.
That way, we can continue to spread this type of financial education.
Thank you.
Our economy is going through some of the biggest changes we have seen in our lifetime all in
2026.
This economic craziness has caused the stock market to go wild in 2026, and it's made
people scared to invest their money.
But do you want to know something else?
This economic craziness actually creates some of the best investment opportunities.
