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Motivation2Study
AI Will Replace 300 Million Jobs by 2030 (Do This to Survive)
AI Will Replace 300 Million Jobs by 2030 (Do This to Survive)
Motivation2Study
·
13:30 · 24 thg 11, 2025
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0:04
New Maridana motivational canvases at shop.modiversity.com.
0:10
What is different about this
0:12
that we haven't dealt with
0:13
as a challenge before >>
0:15
and in my estimation this fourth industrial revolution is the most dramatic thing that's
0:19
happened to our society.
0:20
AI might be the most radical breakthrough in human history.
0:24
Intelligence is going to be a new form of of capital.
0:27
Just as there was a grab for land or there's a grab for oil,
0:31
there's a grab for anything that enables you to do more with less, faster,
0:35
better, smarter.
0:38
>> Is there a such thing as an AI proof job?
0:41
>> It will affect every single job out there.
0:43
Don't put your head in the sand.
0:44
There a lot of companies who don't want to talk about openly
0:47
because we're scaring people about jobs.
0:49
It is going to replace jobs.
0:51
To see what's going to happen,
0:53
you really want to start thinking of this
0:54
as the evolution of a new species
0:57
that will continue to evolve.
0:59
It will partially be shaped by what we ask it to do,
1:02
and it will partially be shaped by things we don't understand.
1:06
What like I have little kids.
1:07
I have a 5-year-old and a 3-year-old.
1:10
What do they grow up aspiring to
1:13
if machines can do pretty much everything better?
1:19
I've been speaking to a few people about artificial intelligence to try
1:22
and understand it and I'm I think where I am right now is I
1:27
feel quite scared.
1:29
Um but when I get scared I don't get it's not the type of
1:32
scared that makes me anxious.
1:33
It's not like an emotional scared.
1:35
It's a very logical scared.
1:36
It's my very logical brain hasn't been able to figure out how the inevitable
1:40
outcome that I've arrived at,
1:43
which is that humans become the less dominant species on this planet,
1:48
how that is to be avoided in any way.
1:52
So, all of us, me included,
1:55
feel what you just described
1:57
when you first get to grips with the idea of this new coming wave.
2:01
It's scary.
2:02
It's petrifying.
2:03
It's threatening.
2:04
Is it going to take my job?
2:05
Is my daughter or son gonna fall in love with it?
2:09
You know, what does this mean?
2:10
What does it mean to be human in a world where there's these other
2:14
humanlike things that aren't human?
2:16
How do I make sense of that?
2:18
It's super scary.
2:20
And a lot of people over the last few years,
2:24
the default reaction has been to avoid the pessimism and the fear, right?
2:31
to just kind of recoil from it
2:33
and pretend that it's like either not happening
2:36
or that it's all going to work out to be rosy.
2:38
It's going to be fine.
2:39
We don't have to worry about it.
2:41
People often say, well, we've always created new jobs.
2:44
We've never permanently displaced jobs.
2:46
We've only ever seen new jobs be created.
2:49
Unemployment is at an all-time low, right?
2:51
So, there's this default optimism bias that we have.
2:55
And I think it's less about a need for optimism
2:57
and more about a fear of pessimism.
3:00
And so that trap, particularly in elite circles,
3:05
means that often we aren't having the tough conversations
3:09
that we need to have in order to respond to the coming wave.
3:14
>> Uh I think uh maybe Microsoft just released a huge 40page white paper
3:19
looking at the jobs
3:20
that are most likely to be displaced
3:21
and the ones that are least likely to be displaced.
3:25
When you look at it, a lot of very working class like lumbering, lumberjacks,
3:29
uh logging, boat captains, none of those,
3:34
they they were the lowest down on the list.
3:37
Middle management, sports broadcasters, historians, analysts, middle level, legal sort of bods,
3:45
all that sort of stuff, logistics, drivers.
3:48
Um, so it really does sort of cross the spectrum.
3:51
It doesn't seem like anybody's particularly safe.
3:53
It doesn't look like anyone at any any area is going to be protected
3:56
from this.
3:57
>> Aren't there going to be lots of new jobs created though?
3:59
Because when we think about the other revolutions over time,
4:03
whether it was the industrial revolution
4:05
or other sort of big technological revolutions >> in the moment we forecasted
4:10
that everyone was going to lose their jobs,
4:12
but we couldn't see all the new jobs
4:14
that were being created >>
4:15
because the the the machines replaced the human strength at a point in time.
4:21
And very few places in the west today will have a worker carry things
4:27
on their back and carry it upstairs.
4:29
The machine does that work.
4:31
Correct.
4:32
>> Yeah.
4:32
>> Uh similarly AI is going to replace the brain of a human.
4:37
There's absolutely nothing wrong with AI.
4:39
There's a lot wrong with the value set of humanity at the age of
4:42
the rise of the machines.
4:43
Right?
4:44
And the biggest value set of humanity is capitalism today.
4:47
And capitalism is all about what?
4:49
Labor arbitrage.
4:51
What's that mean?
4:52
>> I I I hire you to do something.
4:54
I pay you a dollar.
4:55
I pay it I sell it for two.
4:58
Okay.
4:58
And and most people confuse that because they say, "Oh,
5:01
but the cost of a product also includes raw materials
5:03
and factories and so on
5:04
and so forth."
5:05
All of that is built is built by labor, right?
5:07
So so basically labor goes
5:09
and mines for the material
5:11
and then the material is sold for a little bit of margin.
5:13
Then that material is turned into a machine.
5:15
It's sold for a little bit of margin then that machine and so on.
5:18
Okay?
5:18
There's always labor arbitrage in a world where humanity's minds are being replaced by
5:24
by AIs,
5:26
virtual AIs, okay?
5:27
And humanity's power strength within 3 to 5 years time can be replaced by
5:35
a robot.
5:39
You really have to question how this world looks like.
5:42
It could be the best world ever.
5:44
And that's what I believe the utopia will look like
5:46
because we were never made to wake up every morning
5:49
and just,
5:50
you know, occupy 20 hours of our day with work, right?
5:54
We're not made for that.
5:55
But we've fit into that uh uh, you know,
5:58
system so well so far that we started to believe it's our life's purpose.
6:08
You can never really predict what jobs are coming.
6:10
I mean, I think of this crazy situation where I tell my grandfather,
6:16
"What is a personal fitness trainer?"
6:19
And he would, his mind would be blown by this idea that, well, okay,
6:23
I don't really want to go to the gym,
6:25
so I have to make an appointment
6:26
and pay someone to go to the gym
6:28
and meet with me there.
6:29
And then he stands there
6:30
and tells me to lift heavy things
6:31
that I don't really want to lift.
6:33
And then he counts them and tells me that I've done a good job.
6:37
And then I put the heavy things down.
6:39
And then at the end of
6:40
that I feel really good
6:40
and I pay him a bunch of money.
6:42
My grandfather would be like what on earth have you been scammed is this?
6:46
So >> we can never predict what what this uh future of jobs would
6:50
look like.
6:50
Even just 20 30 40 years apart the jobs rapidly
6:55
and convincingly just morph into something else.
6:59
I think it's very dangerous the idea that we need to focus on skills.
7:03
I think the future is not in skills.
7:04
Skills are being replaced.
7:06
It's this idea that the education system has to stop being compartmentalized
7:10
and has to be a lifelong learning approach.
7:12
The department of education needs to be seeing people
7:16
as lifelong learners who are constantly disrupted
7:19
and need re-education.
7:21
>> Interesting.
7:21
>> That that's going to be a thing
7:22
that the department of education needs to start
7:25
as a kid and go right through to maybe 70.
7:28
>> Does the department of education have a role anymore at all?
7:30
>> Depends on your definition of education.
7:32
I think if you're trying to teach kids
7:34
or if you're trying to teach kids to,
7:36
you know, remember facts and figures from a history book, then no.
7:42
But if it's about coaching, mentoring, being displaced, finding the next thing,
7:47
and maybe if it's AIdriven and all of those kind of things,
7:49
then it's a different paradigm shift around what education is
7:53
and what its purpose is.
7:55
>> The it's worth backing up
7:57
and thinking about like why what is it
7:58
that makes humans valuable workers?
8:01
I don't think it's mainly their raw intellect.
8:04
I think it's their ability.
8:05
Um you when you work with people like why are they use basically useless
8:09
the first month or the first week
8:11
and you couldn't live without them 6 months later.
8:13
Um it's their ability to build up context.
8:16
Uh it's their ability to interrogate their own failures
8:18
and learn from them in this really organic way.
8:22
And this ability just doesn't exist in these models.
8:26
They exist session to session.
8:27
and that everything that they have learned about you evaporates after every hour.
8:32
>> Um, and so it's a frustrating experience where you can try to get
8:35
them to do a task.
8:36
Uh, they'll do a five out of 10 job at many language
8:38
and language out tasks,
8:40
but there's no way for them to get better.
8:42
And given that that's a fact,
8:43
you just kind of have to like rely on humans.
8:45
Uh, >> it's like 50 first dates over and over.
8:48
Every time that you do it,
8:49
you've got to you've got to reintroduce yourself and explain what's going on.
8:52
>> Yeah.
8:52
Groundhog Day.
8:53
Yeah.
8:53
Yeah, that's right.
8:55
So I'm con I think people have this idea
8:57
that even if all AI progress stopped right now these systems would still be
9:00
economically transformative and they say look JP Morgan
9:03
and McDonald's and whatever just haven't integrated these systems into their workflows
9:06
but if they had they would be like seeing all these benefits
9:09
and I don't really think that's the case.
9:10
I think like genu it's just like genuinely hard to get human like labor
9:12
out of these models.
9:16
And hopefully in your closing remarks,
9:17
you can capture something actionable for the individual that's listening to this now on
9:22
their commute to work
9:23
or the single mother,
9:24
the average person who maybe isn't
9:26
as technologically advanced as many of us at this table,
9:29
but is trying to navigate through this to figure out how to live a
9:32
good life over the next 10,
9:34
20, 30 years.
9:35
I think we live in the most uh interesting time in human history.
9:40
So for the single mother that's listening,
9:42
for someone who wouldn't be the stereotype of a tech bro,
9:46
don't assume that you can't do this stuff.
9:49
It's never been more accessible today within your work.
9:52
You can be an entrepreneur.
9:53
You don't have to take massive risk to go create a business um by
9:58
you quit your job
9:59
and go create a business.
10:03
So I really want people to break away from this concept of entrepreneurship being
10:10
this is your podcast a diary of a CEO.
10:12
You started this podcast by talking to CEOs I assume right
10:16
and over time uh it changed to everyone can be a CEO.
10:21
Everyone is some kind of CEO in their life.
10:25
I think that we have unprecedented access to tools for
10:30
that vision to actually come to reality.
10:36
I think the potential here does allow us to refactor just about everything.
10:41
Maybe we have finally arrived at the place where mundane work doesn't need to
10:46
exist anymore and the pursuit of meaning can replace it.
10:50
But that's not going to happen automatically
10:52
if we don't figure out how to make it happen.
10:54
And I hope that we can recognize
10:58
that the peril of this moment is best utilized
11:01
if it motivates us to confront
11:03
that question directly.
11:06
The International Monetary Fund has expressed profound concerns
11:09
that generative AI could cause massive labor disruptions
11:13
and rising inequality and has called for policies
11:15
that prevent this from happening.
11:17
I read that in the business insider.
11:20
>> Have they given any of what the policies should look like?
11:22
>> No.
11:23
Yeah, that's the problem.
11:24
I mean, if AI can make everything much more efficient
11:26
and get rid of people for most jobs
11:29
or have a person assisted by I doing many many people's work,
11:35
it's not obvious what to do about it.
11:37
>> Universal basic income give everybody money.
11:40
>> Yeah, I I I think that's a good start and it stops people starving,
11:47
but for a lot of people, their dignity is tied up with their job.
11:50
I mean, who you think you are is tied up with you doing this
11:53
job,
11:53
right?
11:55
>> Yeah.
11:55
>> And if we said, "We'll give you the same money just to sit around,
12:00
that would impact your dignity."
12:04
Everywhere you look in the next 50 years,
12:08
we have to do more with less.
12:10
And there are very, very few proposals,
12:15
let alone practical solutions for how we get there. training machines to help us
12:21
as aids,
12:23
scientific research partners, inventors, creators is absolutely essential.
12:29
And so the upside is phenomenal.
12:32
It's enormous.
12:34
But AI isn't just a thing.
12:36
It's not an inevitable hole.
12:39
Its form isn't inevitable, right?
12:43
its form, the exact way
12:45
that it manifests and appears in our everyday lives
12:48
and the way that it's governed
12:49
and who it's owned by
12:50
and how it's trained.
12:52
That is a question
12:54
that is up to us collectively
12:56
as a species to figure out over the next decade.
12:59
Because if we don't embrace that challenge, then it happens to us.
13:04
And that's really what I'm I have been wrestling with for 15 years of
13:09
my career is how to intervene in a way
13:13
that this really does benefit everybody.
13:16
And those benefits far far outweigh the potential risks.
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