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AI Experts: These Are The Only 5 Jobs That Will Remain in 2030!
AI Experts: These Are The Only 5 Jobs That Will Remain in 2030!
Motivation2Study
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14:55 · Oct 20, 2025
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We
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dawn
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radical
transformation
of
humans
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0:00
We are at the dawn of this radical transformation of humans
0:06
that by its very nature
0:09
as a truly complex
0:11
and emergent innovation nobody on earth can predict.
0:15
>> A poll of a thousand college students showed
0:17
that almost 90% of them use the chatbot to help with homework.
0:22
>> More and more vulnerable people are turning to AI chat bots for support.
0:26
Entry-level jobs are vanishing at an alarming rate.
0:30
>> Half of entry-level white collar jobs disappearing
0:33
and 10 to 20% unemployment in the next 1 to 5 years.
0:37
>> First of all, they underestimate the magnitude of the AI revolution.
0:41
AI is nothing like print.
0:44
It's nothing like uh the industrial revolution of the 19th century.
0:48
It's far far bigger.
0:49
It's the first technology in history
0:52
that can make decisions by itself
0:55
and that can create new ideas by itself.
0:58
>> I'm sorry, Dave.
0:59
I'm afraid I can't do that.
1:02
>> The idea that this AI disruption doesn't lead us to some very human catastrophe,
1:07
I think, is overly optimistic.
1:10
>> My worst fears are that we cause significant we the field, the technology,
1:14
the industry cause significant harm to the world.
1:18
If that really happened,
1:19
like if we really did just discover
1:21
that there were a billion extra people on the planet who all had PhDs
1:24
and were happy to work almost for free,
1:26
that would have a massive disruptive impact on society.
1:33
>> What jobs are going to be made redundant in a world where I
1:37
am sat here as a CEO with a thousand AI agents?
1:40
>> I was thinking of all the names of my of the people in
1:42
my company who are currently doing those jobs.
1:44
I was thinking about my CFO when you talked about processing business data,
1:47
my graphic designers, my video editors, etc.
1:50
So, what what jobs are going to be impacted?
1:52
>> Yeah, all of those you maybe this is useful for for the audience.
1:57
I think if your job is as routine as it comes,
2:01
your job is gone in the next uh couple years.
2:04
So meaning in those jobs that for example quality assurance jobs, data entry jobs,
2:09
you're sitting in front of a computer
2:11
and you're supposed to click uh
2:13
and and type things in a certain order.
2:15
Operator and those technologies are coming on the market really quickly
2:18
and those are going to displace a lot of accountants.
2:22
>> Accountants >> lawyers.
2:23
Yes.
2:24
>> I mean I've just pulled a ligament in my in my foot
2:26
and they did an MRI scan
2:28
and I had to wait a couple of days for someone to look at
2:30
the MRI scan and tell me what it meant.
2:32
>> Yeah.
2:32
Yeah.
2:32
>> I'm guessing that that's gone.
2:34
Yeah, I think I think the healthcare ecosystem is hard to predict
2:38
because of regulation and
2:39
and again there there's
2:40
so many limiting factors on how this technology can permeates the economy
2:44
because of regulations and
2:46
and people's willingness to to take it.
2:48
But you know things unregulated jobs that are purely text in text out.
2:54
If your job, you know,
2:55
you get a you get a message
2:56
and you produce some kind of artifact that's like probably text
3:00
or images that that job is is at risk.
3:04
>> People use this phrase, they say AI won't take your job.
3:06
A human using AI will take your job.
3:08
>> Yes, I think that's true.
3:10
But for many jobs, that'll mean you need far fewer people.
3:14
My niece answers letters of complaint to a health service.
3:18
It used to take her 25 minutes.
3:20
She'd read the complaint
3:21
and she'd think how to reply
3:23
and she'd write a letter.
3:24
And now she just scans it into um a chatbot
3:29
and it writes the letter.
3:31
She just checks a letter.
3:33
Occasionally she tells it to revise it.
3:35
In some ways the whole process takes her 5 minutes.
3:39
That means she can answer five times as many letters.
3:42
And that means they need five times fewer of her
3:46
so she can do the job
3:47
that five of her used to do.
3:50
Now, that will mean they need less people.
3:54
In other jobs, like in health care, they're much more elastic.
3:58
So, if you could make doctors five times as efficient,
4:02
we could all have five times as much healthare for the same price,
4:05
and that would be great.
4:07
There's there's almost no limit to how much healthare people can absorb.
4:11
>> They always want more healthare if there's no cost to it.
4:15
There are jobs where you can make a person with an AI assistant much
4:19
more efficient and you won't lead to less people
4:22
because you'll just have much more of
4:24
that being done.
4:25
But most jobs I think are not like that.
4:29
So that's the question I often ask people in the world with AGI
4:33
and I think almost immediately we'll get super intelligence
4:36
as a side effect.
4:37
So the question really is in a world of super intelligence
4:40
which is defined as better than all humans in all domains.
4:44
What can you contribute?
4:46
And so you know better than anyone what it's like to be you.
4:52
You know what ice cream tastes to you?
4:54
Can you get paid for that knowledge?
4:56
Is someone interested in that?
4:59
Maybe not.
5:00
Not a big market.
5:01
There are jobs where you want a human.
5:04
Maybe you're rich and you want a human accountant for whatever historic reasons.
5:09
Old people like traditional ways of doing things.
5:13
Warren Buffett would not switch to AI.
5:15
He would use his human accountant.
5:18
But it's a tiny subset of a market.
5:21
Today we have products
5:23
which are man-made in US
5:26
as opposed to mass-produced in China.
5:28
And some people pay more to have those.
5:30
But it's a small subset.
5:32
It's a almost a fetish.
5:34
There is no practical reason for it.
5:36
And I think anything you can do on a computer could be automated using
5:41
that technology.
5:44
>> People in this country want to do certain types of jobs,
5:48
not other types of jobs.
5:51
And I'm not saying that that's good or bad.
5:53
It's just the reality.
5:54
Mhm.
5:56
>> So, you know, I I I joke like like, you know,
5:59
my kids are 15
6:01
and they don't want to work for 40 years in a uh manufacturing job.
6:08
And I don't want them to
6:10
because I don't want them to have the bad back
6:12
that I have right now.
6:14
Like, no, no.
6:15
I mean, these this is real.
6:16
Like, you work in one of these jobs for 40 years
6:18
and you're messed up by the time you hit your age 60.
6:21
So, they don't want to do that.
6:22
They don't want to work in a repetitive physical labor job for their life.
6:26
And I hate to say like almost no young kids in this country do.
6:30
>> They won't have to in 10 years with robots taking over all of that.
6:33
>> They they they won't have to.
6:34
And like the one knock
6:36
that this whole robot revolution people have with it is it will displace human
6:41
labor.
6:42
>> So if you have this concept of a drop in employee,
6:46
you have free labor, physical and cognitive, trillions of dollars of it.
6:50
It makes no sense to hire humans for most jobs.
6:54
If I can just get, you know,
6:55
a $20 subscription or a free model to do what an employee does,
7:00
first anything on a computer will be automated.
7:03
And next, I think humanoid robots are maybe 5 years behind.
7:07
So in 5 years, all the physical labor can also be automated.
7:10
So one of the things
7:11
that I study as well is besides AI
7:14
and longevity is the embodiment of AI
7:18
which is going to be in humanoid robots,
7:20
autonomous cars, flying cars and the like.
7:25
You know, I've interviewed Elon, who I've known for 26 years,
7:28
another company here in the US called uh called Figure AI
7:32
that Brett Adcock runs.
7:34
And both of them have made the prediction
7:37
that they expect by 2040 to have
7:40
as many as 10 billion humanoid robots walking on the streets,
7:46
right?
7:47
Uh, and so I asked my friend,
7:48
"What's it going to what's it going to feel like
7:50
when you're seeing a humanoid robot delivering your packages
7:53
or walking down the street
7:55
or coming over to ask you
7:56
if there's something else you want done?"
7:58
You say, "It's going to feel normal."
8:02
You know, in the beginning it feels weird.
8:04
Uh, it's a spectacle.
8:06
We take photographs, but after a little bit we fully adapt.
8:10
And that's the brilliance of human mind and society. and it becomes normal.
8:17
It's part of our lives.
8:22
>> Now, if it goes so far beyond human intelligence,
8:25
it's my assumption that most of the work
8:27
that we do is based on intelligence.
8:30
So, even like me doing this podcast now,
8:32
>> this is me asking questions based on information that I've gathered,
8:36
based on what I think I'm interested in,
8:38
but also based on what I think the audience will be interested in.
8:41
And if if an AI has an IQ
8:43
that is a hundred times mine
8:44
and an source of information
8:46
that is a million times bigger than mine,
8:48
there's no need for me to do this podcast.
8:50
I can get an AI to do it.
8:51
And in fact, an AI can talk to an AI
8:53
and deliver that information to a human.
8:55
But then if we look at most industries like being a lawyer, >> um accountancy,
8:59
I mean a lot of the medical profession is based on information. um driving
9:05
I think that's the biggest employer in the world is the profession of driving
9:08
whether it's delivery or Uber
9:10
or whatever it is um where where do humans belong in this complex anything
9:15
which is just information in information out is ripe for automation these are the
9:21
easiest jobs to automate um >> like being a coder >> like being a
9:27
coder or again like being an accountant at least certain types of accountants lawyers
9:33
ers doctors they are the easiest to automate.
9:36
If a doctor the only thing they do is just take information in all
9:40
kind results of blood tests
9:42
and whatever and they information out the they diagnose the disease
9:47
and they write a prescription.
9:49
This will be easy to automate in the coming years and decades.
9:54
But a lot of jobs they require also social skills and motor skills.
10:00
If your job requires a combination of skills from several different fields,
10:06
it's it's not impossible, but it's much more difficult to automate it.
10:10
So, if you think about a nurse
10:12
that needs to replace a bandage to a crying child,
10:16
this is much much harder to automate than just a doctor
10:20
that writes a prescription.
10:21
Because this is not just data.
10:24
The nurse needs uh uh good social skills to interact with the child
10:29
and motor skills to just replace the bandage.
10:32
>> So what are those skills?
10:34
>> I think it's all human skills.
10:35
I think there needs
10:36
so I think where the world is going to go
10:37
and at least this is where I'm taking a bet is
10:40
that as the end product becomes easier to produce,
10:44
it's the humanity that's going to suffer.
10:46
And unless we take personal accountability both
10:49
as individuals and organizations to teach
10:52
and learn human skills,
10:53
they will disappear for all the reasons we're talking about.
10:56
So, how do I listen?
10:58
How do I hold space?
11:00
How do I resolve conflict peacefully?
11:02
How do I give and how do I receive feedback?
11:05
Those are two different skills.
11:08
And sure, you can have an AI friend,
11:10
and that AI friend has been trained like the best best psychologist to affirm
11:15
you,
11:15
the best listening skills that exist.
11:18
Tell me about your day.
11:19
M, that sounds difficult.
11:20
Boy, it's hard being you.
11:21
Oh my god, it's so great being you.
11:23
Have you, you know,
11:24
like it's it's a it's an affirmation machine built by a for-profit company
11:29
that wants you to stay on.
11:30
Can't neglect that. but for the fact
11:34
that nobody's learning how to be a friend.
11:37
It'll feel good.
11:38
You'll feel like you have a friend,
11:39
but you're not learning to be a friend.
11:41
They promised us social connection when social media came about.
11:45
When we got Wi-Fi connections,
11:46
the promise was that we would become more connected.
11:48
But it's so clear that because we spend so long alone, isolated,
11:52
having our needs met by Uber Eats drivers
11:54
and social media and Tik Tok
11:56
and the internet,
11:56
that we're investing less in the very difficult thing of like going
12:00
and making a friend
12:01
and like going and finding a girlfriend.
12:02
Young people are having sex less than ever before.
12:05
Everything that is associated with the difficult job of making in real life connections
12:12
seems to be um falling away.
12:14
I think the the skill of being a storyteller
12:19
and a communicator is critically important for any entrepreneur.
12:24
Right?
12:25
At the end of the day,
12:25
if you think about what an entrepreneur is doing,
12:31
uh part of what they're doing is creating a vision of the future
12:35
that they think is possible. getting other people to believe in their future uh
12:41
and thereby join them
12:43
as a co-founder or employee
12:46
or join them as an investor
12:48
or join them as a customer.
12:50
And that's the process of communicating this product, this service,
12:56
this future you want and getting people excited about it,
13:00
wanting to join you
13:02
and being able to tell the difference between what is a fiction in our
13:08
own mind and what is the reality.
13:12
This is a a crucial skill
13:14
and we are not getting better at finding this difference
13:19
as time go time time goes on
13:22
and also with new technologies
13:24
which I write about a lot like artificial intelligence.
13:27
The fantasy that AI will answer our questions will find the truth for us
13:35
will tell us the difference between fiction
13:37
and reality.
13:38
This is this is just another fiction.
13:40
I mean AI can do many things better than humans
13:44
but for reasons that we can discuss I don't think
13:47
that it will necessarily be better than humans at finding the truth
13:53
or uncovering reality and what made you a great entrepreneur is not
13:58
that the company exists is
14:00
that you built it with your hands
14:02
and you've got the scars to show for it.
14:04
>> Yeah.
14:05
It was when things went wrong
14:06
and you were forced to fix them
14:07
and think that now
14:09
when problems show up,
14:11
you're quick.
14:11
You're smarter.
14:12
You're a much smarter businessman now than you were 5 years ago,
14:17
6 years ago.
14:18
>> Yeah.
14:18
>> Because you did it.
14:20
And I think what we're forgetting is that there's something to be said for,
14:23
and by the way, I'm a fan of AI.
14:25
I want AI to make things,
14:27
but I would hate to lose out on becoming a better version of me.
14:32
So, I think there's something to be said for writing your own symphony,
14:35
painting your own painting, building your own business, you know, writing your own book.
14:42
Not for them, not for the output, not for the output,
14:45
for your personal growth.
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