Sam Altman Says AI Will Erase Entire Job Sectors

Sam Altman Says AI Will Erase Entire Job Sectors, Starting With Customer Service.>>PODCAST CONSULTANT : https://stan.store/wilwaldon

Episode Transcript

(00:01):
Hey everybody. Welcome back to the Elon Musk
Podcast. This is a show where we discuss
the critical crossroads that shape SpaceX, Tesla X, The
Boring Company, and Neurolink. I'm your host, Will Walden.
We're all kind of worried. At least at this point we should
start being worried about AI being a bigger part of the

(00:25):
workforce than it was before. White collar people will be
pushing back as hard as possible.
People in places of power, CE, OS, and the C-Suite in general
will be pushing back against AI as hard as possible.
But people like coders. There's been 100,250 thousand

(00:49):
coders let go from their jobs, fired, literally fired from
their jobs that they may have had 10 years experience at the
role. And bigger corporations,
Facebook, Meta, you know, every large company, Google, they all

(01:09):
have fired people. And when I say fired, I mean
like they got fired. It's, it's not a nice thing to
let somebody go if they've been there for a while.
It's not a nice thing to, to letpeople go to fire people and
have their family disrupted. Now you're making really good
money as a coder at a company. And then you see some of the

(01:33):
writing on the wall that there should be some changes coming,
but they what you don't know because you're on the lower
level of of the spectrum here asfar as employment goes.
The top level has been working on a solution to get rid of you
for months. And I'm not doom and gloom here.

(01:55):
I just know that's how it happens.
I have friends at Meta, I have friends at Google.
The whole thing has been, it's been a plan for a long time.
The entry level jobs, they're all being replaced by AI agents.
When I code something that I, you know what?

(02:17):
I I code it with a lot of AI help, mainly to save a lot of
time. I'm working with clients and if
they need some work done, I willgladly give them AAI generated
piece of code that works and it will work in the future.
I test everything by the way, I don't just like plop out slop I

(02:39):
I make something with AI and I change it as I as it goes and
you know I'll change the code and fix it up for the AI, but it
gives me a great structure to start a project.
So say if I had like a project, I'm doing this because I want
you to know how things work withwith the AI routine.

(03:00):
Now, So say if I have a client and they want a website, they
want a fully custom website. They don't want a like a
Squarespace site or like a Wix site.
They want like a fully custom website where they can take
appointments, where they can getpaid.
Basically they want a Squarespace site site but not on
Squarespace. They want all the things on

(03:21):
Squarespace but not a Squarespace site.
And they don't want to build it themselves.
They want somebody to build it for them.
They have an idea. So look I I could sit there and
code this for a month, you know,even 2 weeks to build this
thing. Who knows?
Depending on the requirements ofcourse.

(03:41):
But the fact that I can use something like huggable.
I could even use Claude to set up a project and make a 5 page
banger website with a scope of whatever the client wants.

(04:02):
I can just tell it what it wantsand I'll be like, these are the
things that it needs in order towork.
Maybe you have clerk, maybe you have Stripe, Maybe you make your
own booking system and hook it up to Firebase.
I don't know, you know, depending on the client, but
when a client needs that, I'm just like, you know what?
I'm going to use some AI. I'm going to save myself a bunch

(04:22):
of time. And it it really does, if you
pay attention to it, if you pay attention to what the code, what
code is being produced, it'll save you a ton of time.
And if I, I could literally handcode it if I wanted to, but it
would take an extra week or two to do that.
So what people are buying now isn't the time that you put into

(04:44):
a project. They buy your expertise.
And if you're an expert with AI,you're going to become valuable,
right? So Sam Altman, it was the
opening ICEO, he thinks that AI is about to eliminate complete
categories of jobs. And he's been saying this kind
of under his breath for a while.A lot of AI proponents,

(05:09):
including Elon Musk, have been saying this for a while, but Sam
just said it's going to happen really soon.
What happens when automation becomes like, not just an
enhancement of things that we do, like a coder like myself,
but it replaces you like I was talking about before the high

(05:30):
level coders made the language models able to replace the lower
level workers to do the menial tasks.
Bug fixes. I went through that when I was
working at corporate bug fixes. They put you on that first so
you can get used to the code base and they're like everyone

(05:52):
has to go through. It's kind of like a boot camp.
If you can't handle this, you'renot going to make it here.
So all the bug fixes, hey, I canhandle that within minutes
compared to a person that could take hours.
You know, some of the bugs that I was fixing took me two weeks
to fix, literally 2 weeks. And they were very difficult

(06:14):
solutions to these, to these bugs.
I had to go to hire like the highest level of engineering to
fix some of these bugs. And I went through the whole
chain. I did everything I could in
order to fix these bugs and I had all the questions.
I had all the right questions. I had some stupid questions too,
because I was just new there, but I had the right questions
and nobody could figure it out. That's why I was in the in the

(06:37):
bug bin. So I had to go all the way to
the top of engineering and the top of engineering had no idea
how to fix it. It was just like, what is this
thing? And he took a crack at it for
1015 minutes, sent me away with some hints of what it could
because he didn't really know. And then I spent another, I

(06:59):
don't even know how much time after that guy, but it took me
like, I don't know, I'm going tosay a month to figure it out
because that was one of the harder, harder bugs I had to
fix. And it was, I used to work at a
company that built all the high level automotive websites on the
Internet. And we would, they had a

(07:20):
templating system and it was a language that I don't use
anymore, but it was a language that I was familiar with at the
time. So I was good at it.
It's just now with AI, you couldbe replaced within minutes if
you've run that same bug throughClaude even, and I'm not saying

(07:41):
Claude even like as in Claude isbad because Claude's really
good. You're on that bug through
Claude. You tell it how it works and you
tell it what needs to happen. Oh my God, it's done in seconds.
And it might get it wrong the first two or three, two or three
times, but it will code it up within a minute.
And there goes a month of an employee, you know, you get that

(08:06):
done in a second. You have some high level.
Also, you can train other bots to do that work to find the
bugs. You know, you may have a bug
reporting system and somebody finds a bug, you put it into the
system, and then automation takes over.
The automation fixes the bug andalso deletes the human from that

(08:29):
job. Sam Altman has said this
recently. He went to Washington, DC, and
he had a talk with top US officials that AI will push some
sectors of the workforce into complete obsolescence.
He talked to Federal Reserve vice chair for supervision
Michelle Bowman. He said some of these jobs will

(08:53):
be totally like, just like, totally totally gone.
He said customer service is going to be gone.
I already see it. You probably see it too.
You probably might not even knowit.
You call a company for help and you're on the phone with an AI
agent, probably don't even know it sometimes you you know you

(09:16):
can text customer support some places and when you text
customer support, that bot will respond to you.
But he thinks future where people will call support lines
and get help from AI will perform better than a human
agent ever has handled those situations.
Mainly because it'll be trained on these situations and it'll

(09:39):
come to the most logical conclusion.
Now, will it be the most human conclusion?
No, it's a robot. It's going to come to the most
logical conclusion, but it'll mask it like it does now.
Like open AI with ChatGPT and masks the conversation as you're
having a talk with a bot that performs like a human.
Kind of. But Altman also described AI

(10:03):
systems that will just like justtotally skip the traditional
phone trees and transfers. And instead it's going to be a
top agent for the call for you and it'll improve speed and
precision of decision making. Also, he said AI doesn't make

(10:24):
errors and complete support requests in a single call.
As opposed to humans, which you've been there, you've been
passed around the customer support center so many times,
just like me, and you know that an AI agent would probably have
helped you because you have a specific concern that you have
to take care of. So this is going to help open AI

(10:48):
shift to the practical future ofautomation.
So he's not talking about a theoretical improvement or
support tool. He thinks it's going to
completely substitute people. So all those offshore customer
service agents that you talk to all the time, they're going to

(11:11):
be gone. And if you build it with one
language, you have a large LLM. You know, in in one language,
you could use that same LLM and then translate it into another
language. You have a great product.
Now, we don't know when this is going to happen.

(11:33):
AI deployments will still produce unpredictable outcomes
like the code that I was talkingabout earlier.
There's regular malfunctions that happen all the time, also
known as hallucinations, where models invent new rules and
responses. The of course the AI software

(11:53):
will tell you that it's right. I've had this happen so many
times, like ChatGPT or Claude will tell me this is your
solution and then I'll run the code and it does not do anything
it's supposed to do but actuallythrow more errors.
So it has hallucinations. So at this point it just needs

(12:15):
to be trained more because we'reall kind of AI, right?
Think about this for a second. When we're little babies, we
start training on a large language model.
We're crawling around doing babystuff, you know, suck on
pacifiers, playing with our biggies, drinking milk,
whatever. And while that's happening, the

(12:38):
language is, you know, it being spoken around us.
So we take it in. Then little by little we learn
the language and over time we become a large language model
because there's a lot of language that's being
interpreted by us, but instead of interpreted by us, it's
interpreted by Jet GPT or Opening Eye or, you know, one of

(13:00):
these perplexity or something. And by the time it has matured,
it will speak just like a human to do those tasks.
You know, it's going to be wild.Sometimes there's like a support
assistant or sometimes there will be a support assistant.

(13:25):
You know that they'll suddenly log you out as part of a new
policy. The policy may not have expired,
but they might log you out anyway.
They fabricated this, but then you have to log back in again,
contact an actual human, tell them about this, the system
problem. And then they put it into the

(13:46):
system and they fix it with other AI.
So there's, there's still will be a layer of humans, but that's
going to go away within the nextfive years.
Those customer support jobs, thepeople really like they were,
they were dependent on those customer support jobs to feed
their families. All those people will be out of

(14:08):
work. And some people say, hey, what,
we'll just get a new job. If you've been working the same
customer support job or like in a call Center for 10 years, you
probably haven't been training on new techniques or a new job
the whole time. You know, what are you going to?
You're not going to just learn how to code overnight.

(14:31):
You're not going to learn a new skill overnight.
You can, you know, if you see the writing on the wall, all
these customer service people should be looking for a new
path. Even me.
Think about this. I've been on YouTube for five
years. I've been a podcaster for five
years. I know the insurance and outs.
I've been hitting the ropes. I've been fighting for YouTube

(14:55):
channels and podcast views and listens for the last five years.
I know exactly what it takes to build this stuff.
This podcast listening to right now, wildly successful, millions
of downloads. I know how to do it.
YouTube, same thing, 3,000,000 downloads.

(15:16):
It's 2.5 to 3,000,000 downloads on my YouTube channel.
I think it's, I think we have millions of views on this
channel as well. I know we have millions of views
on this channel or downloads. So I know that.
So I'm pivoting away from codingand I'm going to, I have
started, actually, I have some clients, I've started helping

(15:36):
people with their podcasts, editing their podcasts, editing
their YouTube videos, helping them with the business side of
all of this. The business side is the hardest
part. Like you can make a podcast and
you can sit in front of a microphone and record it, but at
the end of the day, if nobody knows about it, you're not going
to get any traction. So I saw a market gap and it's a

(16:00):
niche market gap that I'm working with.
So I'm structuring my life from what I know, coders are going to
be gone. I mean, even high level coders
will be gone eventually because AI bots will be able to do it.
They'll be able to do everythingthat high end coders could do.
So I'm going to be helping people from now on.

(16:22):
I'm going to leave a note in theshow notes.
I'll link in the show notes. If you have a podcast or if you
have a YouTube channel, please check it out.
I'm here to help you. I'll do reviews of your channel
to get you started. And if you're just starting out,
I can help you too. But that's my path, you know,
these other people that are either, you know, low level

(16:43):
coders, mid level coders, I'm a high level coder, but I know
it's going like that's going away too.
So instead of sitting around waiting for my job, just like
blink, it's gone. I am working hard to change my
career and there's there's moneyto be made in what I do.
So I see the see the future in it.
So there you go. There's going to be a link in

(17:03):
the description below. And also, if you just want to
listen to it, Stan Stan dot store slash WILWALDON, you can
get more information there. And I'm just starting up so, but
I already have a bunch of client.
I have a bunch of clients that I've already worked with and I'm
still working with have some long term clients in the

(17:25):
pipeline. So that's already started.
So you know, Sam Altman is, you know, he thinks that it's going
to happen customers, but they dowant efficiency.
You know, customers want efficiency.
You want to get your problem solved as fast as possible.

(17:46):
But you want empathy, you want flexibility, assurance.
And AI doesn't do that. AI is not a person.
If you call up and you say, hey,man, I need some more time to
pay my car payment because I gotreally sick.
I had to go to the hospital. I had a $900 like check in fee
for the hospital, then I had to pay $20,000 because my leg was

(18:08):
broken. Your car loan will probably be
like, all right, we understand. We're going to push this month's
payment all the way to the back of your payments and then we're
going to give you some reprieve for that.
AI won't do that. They don't care.
They have no feelings. What's the flexibility with AI?
There's probably not any yet, but that can be programmed in,

(18:30):
which is weird. And eventually that there'll be
a program. Empathy will be a program.
You know, there's Klarna. Remember Klarna, you know
Klarna? They made headlines when its CEO
claimed that an AI assistant wasdoing the work of 700 human
employees. But then the CEO was like,

(18:52):
that's not working for us, so we're going to hire some people
back. They needed to add a clear path
to a human support representative because people
want to talk to people with money.
Don't mess with people's money and don't mess with people's
families. And this Klarna CEO was like,
hey, we're going to replace all these people with a bot.

(19:16):
And people that needed support didn't want to talk to an AI
bot. It's because even though the AI
bot seemed pretty capable, as far as I'm concerned, people
want to talk to a person when itcame to their money and that's
just how it is. Like that's that industry.
So there might be some customer support jobs still until they

(19:37):
really ramp up the the language of these support a is, you know,
Sam Altman also failed to address the risk the companies
face by removing removing human agents too quickly like the
Klarna one. AI is usually cheaper on paper,

(19:58):
a lot of mistakes, a lot of fails, doesn't resolve issues.
Sometimes the cost to reputationCtr. is immense.
People need to trust you. Multiple firms had to rehire
staff after public complaints. You know Klarna was one of them.

(20:19):
Now beyond the customer experience, though, because
Altman said people's jobs are going to go away really, really
fast. There's a serious question about
employment stability. If customer service jobs are
gone, that cuts a major entry level job market in many
countries. The roles are often served up as

(20:40):
early stepping stones into higher level employment.
So you can start as a customer service Rep, work your way up
through the company all the way to the top if you choose.
So now removing these lower level jobs doesn't just affect
current people though. It shrinks access to upward
mobility for future users. So if you want a job in the

(21:02):
future, you're going to have to get trained on at least a mid
level role. So I guess in one way that's
good because mid level roles will become the new low level
roles, the lower level roles, the entry level roles, and then
the high level roles will becomemid and so on and so forth.

(21:23):
So CE OS in the C-Suite, they'regoing to stick around for a
while until there's an all AI company.
Our AI overlords are here. My friends welcome AI overlords,
I welcome you. But eventually, you know, like
what does the CEO do? There's a lot of handshaking,

(21:45):
lot of deal making, lot of person to person interactions.
You might think that CE OS are worthless and they don't really
do much and they just want your money.
It comes down to relationships with CE OS.
It comes down to how to lead a company and if these people can
lead a company properly and continue with their AI

(22:06):
workforce. I mean, I've met a few people
that are actually CE OS of a company and they have AI
workforces. They don't hire people.
They basically run the company as if those AI bots are people.

(22:26):
It's wild. And they're making a lot of
money with their services. They don't tell people, they
don't tell their customers that it's AI.
They just say we can solve this specific problem with you or for
you with our company because nobody like you're not not going
to, you're going to sign up for a service, right?
And you're going to fix a problem for us.
You don't know who's working at the company when somebody fixes

(22:48):
your problem. You know, if something is wrong
with your with some, you know, atechnician doesn't need to come
out to your house to fix your TV.
Sometimes imagine that like cable TVI don't know if you guys
still have cable TV or just say your Internet.
Like most of the time they can just reset your equipment
remotely and eventually that'll all be AI.

(23:09):
You don't need to know that person.
You don't need to know their name.
They just do it remotely. So something like that,
something very basic like that. But if these are higher level,
you know, accounting or something like that, the the CEO
is definitely raking it in. I'll tell you what they make in
I, I know I've seen the numbers.This is all legit, makes at

(23:32):
least 20 million a year just from this AI company.
And this guy's so smart, just sits back and relaxes most days
and makes deals. And most of his clients stick
with him. And so he just knows people.
Like, that's why the CEO is important.
Got to know people in order to get those sales and get those,

(23:54):
get those AI bots rolling now. Altman also added some context
about like, political things, too.
He made strong claims in front of regulators and lawmakers, so
now he is shaping the narrative,brought a is readiness and its
benefits instead of somebody like Elon Musk.

(24:16):
He's framing AI as an effective labor substitute so it helps
push forward more favorable regulations and positions Open
AI and its sub companies as a core player in the future
economy. Now at the same time, this
creates a pressure to acceleratedevelopment in deployment,

(24:36):
though, even when results are not fully reliable like we
talked about before now. Altman also warned of an
approaching crisis of AI driven fraud.
And this is scary. He believes the technology is
evolving faster than institutions are prepared to
handle, especially in terms of how bad actors will use AI to

(24:59):
deceive people at skill. You know, the, the Prince
scandal or not scandal, the, the, the Prince fraud when they
call you up. And then, hey, we're the Saudi
Prince and we need, you know, weneed $10 and we'll send you
$1,000,000. You just want $1,000,000 from

(25:20):
the UAE or whatever it is. Those things will happen again.
Those things will continue to happen.
They will bombard your phone andit's already happening AI voices
to just robo dial every phone number ever and if somebody goes
like or they'll say something like there's a crisis in your

(25:42):
family. We need money for the hospital.
This is the hospital calling we in order to, you know, in order
to, you know, save your friend'slife or something, who knows?
Like everything's on social media now, right?
So their bots can scrape social media.
Find out who your friends are, find out who your family is and

(26:04):
then pretend to be a hospital and say, you know, your Aunt
Marge is in the hospital. She can't have the surgery, this
life saving surgery unless we get, you know, some money and we
can take the credit card right now and we'll save her life, you
know, and you can you just send us as much as we as much as you
can right now and then we'll start the procedure.

(26:26):
And then when it's done, you know, she'll we'll worry about
the bill when she's done. So what are you going to send
it? Like 500 bucks, 500 bucks is a
lot of money in other countries,500 USDA lot of money in other
countries. So, and plus it's free.
It's kind of free money for these AI agent groups, these

(26:47):
fraudsters. So who knows?
I mean, those are things that will happen in the future.
It's, you know, this coming very, very soon to a phone near
you and emails and you know, e-mail scams have been around
for a long time. Phone scams have been around for
a long time. Texting scams have been for a
long time, but it's going to happen even more chat rooms, you

(27:08):
know, Discord bots, things like that's going to happen and
everywhere on the Internet, you know, you got to get you're
going to get frauded here. The cost of a single fraud could
be very high, though. Now, how fast can AI automate
and personalize those attacks? Sam Altman said he's concerned

(27:32):
that once AI gets better at imitating humans in real time
with real voices now, the volumeof credibility of fraud attempts
could overwhelm current defenses.
So there's not enough, not enough defense in place right
now. And I think what Altman is doing
is he's positioning open AI in himself as a defense company.

(27:54):
So Elon sends rockets into spacewith Department of Defense, you
know, cargoes and Sam Altman down here on the ground is
lining up defense for maybe the Department of Defense for fraud
or for other things the Department of Defense could be
interested in. That's a lot of money.

(28:16):
You know, if open AI needs influx of cash, let's go to the
government, go to the Departmentof Defense.
They have all the money. On one hand, Altman is
presenting AI as super smart, error free labor that deserves
trust over time, and on the other hand, he warns it will be
used for dangerous scams that are very hard to detect.

(28:40):
That's a huge challenge for AI companies.
How do you how do you fight thisfraud and these scams while also
building a product that's absolutely killer and awesome?
So let me know what you think inthe in the comments if you have
it on your podcast platform. Also, if you need help with your
podcast or your YouTube channel,hit me up stand dot store slash

(29:04):
WILWALDON and I will absolutely give you my time and help you in
the right direction to find the right audience or to tune up
what you already have. Launch planning, podcast growth,
podcast branding, audit your channel, and also the same thing

(29:27):
with your YouTube. So thank you very much,
everybody. Take care.
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(29:49):
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