Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Making the coffee and then like the presser thing that
she uses to like put it in there is a
bit confusing.
Speaker 3 (00:06):
Is it a French press?
Speaker 1 (00:07):
I have no, Maybe I don't know, but yeah, I
would just need maybe a little bit of practice. Or
I could just go and spend eight dollars on four
little bottles of frappuccino and call it good for the weekend,
you know, But you ask my second one, so I'm
I'm all starting to feel it. You know, what are
you drinking today? I'm drinking water.
Speaker 2 (00:25):
It is in my coffee thermos, but I refill it
with water. It's it's really it's just a I do
that too. I got a hint of coffee. I got
coffee water.
Speaker 1 (00:33):
It's coffee flavored water at this point, right, yeah, not
everybody's cup of tea, but or coffee.
Speaker 3 (00:38):
It is my hint of coffee water.
Speaker 1 (00:41):
This is I have a big Omaha Supernova's Stanley cup thing.
I like drinking water out of these, like I have
like a sporty water bottle I'll carry around too. But
there's just something about drinking water out of these. I
can see why the people went crazy for these, because
they're sizable and you don't have to keep going and
refilling it.
Speaker 3 (00:57):
What do you think forty four ounces or so?
Speaker 2 (00:59):
Oh yeah, thirty two to forty somewhere. And it's got
the handle. It's I can see the appeal. Sure it's
got and if it's a handle.
Speaker 1 (01:07):
And it fits in the in the cup holders in
your car, because it's got the skinny bottom and that
matters right right, you stick it in there.
Speaker 2 (01:14):
So they were using a lot of angles there to
make it just what the person might want.
Speaker 1 (01:18):
This is this is this is engineering at its finance.
This is why we pay people a lot of money.
Did you go to school? Did you go did you
get your college education? Did you uh? Were you in
a college class or two in your day?
Speaker 3 (01:29):
You know? Funny enough, I did go to college.
Speaker 1 (01:32):
It it helped you get a job.
Speaker 3 (01:33):
I think it's it's helped out. It's helped out.
Speaker 1 (01:35):
Do you think it was worth the investment? No, those
are personal questions. I'll answer. I'll give you my answers. Tom,
I'm going somewhere with this, dunt.
Speaker 2 (01:42):
I think that there's an interesting discussion to be had
about the bang for your buck you used to get
versus what you get now. Colleges seem to raise their
tuition rates every single year they do, and especially public ones, right,
the ones that are you know, generally more affordable in
the first place, university, right, And so you're definitely not
getting the same. But there's a lot of reasons for that.
(02:04):
Complicated factors is that so many people have them these days.
There's a lot easier to obtain and a lot of jobs.
It's very common for a job that used to not
have a degree requirement now does. And these days you'll
see master's degrees for entry level positions that you used
to not see. That's how they weed out, you know, candidates,
(02:24):
and that's pretty common. So yeah, it's an interesting market
for that sort of stuff. But yeah, So so here's
my vibe on all this, and again.
Speaker 3 (02:33):
Throwing this out there.
Speaker 1 (02:36):
You need I mean, if you're going into like a
white collar job, you're gonna need the education and you're
gonna need the opportunity. But what is another factor that
you think could be slowing down kids having the opportunity
to get banged for their buck from their college degree.
And I'll help it's something that you are afraid of.
Speaker 2 (02:52):
I am, I'm afraid of. Yeah, what would that be
artificial intelligence. Oh eh, fear of artificial intelligence. I suppose
I do play that up.
Speaker 1 (03:02):
Sometimes artificial intelligence is being programmed at an entry level
like intelligence isn't it couldn't artificial intelligence resolve a lot
of issues that a twenty three year old entry level
person and a lot of jobs could do. Yes, they
don't have maybe the ability. Artificial intelligence can't talk to
a person and make you feel, you know, like you're
getting good customer service, but it can resolve a lot
(03:23):
of issues and can help kind of formulate things right. Well, now,
there is a study that has come out, and there
is a lot being made of this, that the amount
of unemployment for young college graduates is now higher than
the average unemployment rate as a whole for the greater
part of America, meaning that it's actually harder by the
(03:46):
numbers for somebody coming straight out of college to get
their first professional job or an early job while they're
in their twenties early mid twenties. It is actually harder
for them to get a job than somebody who is,
you know, doing work as a forty or fifty year
And you might be saying, well, yeah, that makes sense,
but it isn't always that way. A lot of companies
are always looking for that next generation because first of all,
(04:06):
they're usually cheaper. Right, entry level positions require entry level
job prices, right like entry level salaries. Entry level salary.
You're not going to give somebody entry level salary when
they're forty five years old. What forty five year old's
going to take entry level money unless they just are
coming out of not having a job. They're like desperate
right now. It's a multitude of things. I would imagine.
(04:29):
The first thing is exactly what I mentioned, is that
there is a I think a conversation to be had
for artificial intelligence kind of making things a little bit
more difficult. But I think there's also a bit of
this that maybe we're getting majors in all the wrong things.
That's not to say you shouldn't chase your dreams. Did
(04:50):
you major in something media related, radio related? I did, so,
you did, I did not. My major was in Sports
Business administration, So like I took a lot of fun classes,
I took a lot of coaching classes. I took a
lot of like accounting and things like that. You don'
want to know how much of my college classes for
four years at my small private.
Speaker 3 (05:10):
School, which I'm repping today. By the way, I don't
know if you saw, did you do.
Speaker 1 (05:14):
You know how much of that I actually use on
a day to day basis, Matt, Probably not a whole lot,
like less than ten percent for sure, Maybe less than that.
It might be closer to like two or three percent
of the actual knowledge. Now, I wouldn't change trade the
experience for anything in the world. I didn't go to
a big school, but I had I have memories and
lifelong friends from that time, so I'm not going to
say that I regret doing it. But I was able
(05:35):
to pivot and kind of get into I was doing
radio during the summers and kind of as a part
time job, and I pivoted while finishing that degree that
I ended up not using, and pivoted into a you know,
professional radio guy, first as a sportscaster and eventually moving
into the studio and eventually into news talk. This is
a I mean, it's one of those things that we
(05:55):
can talk about all the time about our kids getting
the best advice when they're going to school. But how
much do the rising tuition costs for public universities, private
universities across the board, for the most part. If you're
finding a college and it would be a private college,
because the public colleges aren't going to be cheaper at
any point. They're just constantly raising tuition prices. But if
(06:17):
you're going to a private school and you see one
that is actually like cutting its tuition prices, look into that.
I think it's totally worth looking into if they have
what you're studying, because you're just not going to see
that and you want more bang for your buck and
more value for your dollars. That's the best way to
go about it now. At the same time, you have
to understand that, like you said, Matt, you have to
in a lot of ways get a master's degree to
(06:38):
stand out from the crowd these days, that's six years
of school unless you really pile it on for four years,
and even then, I can't guarantee you in a lot
of ways that we're going to be able to get
you a job right out of school. You know, a
nightmare scenario is I'm doing four to six years of school.
I'm on the hook for all the student loans to
be able to go to school and get the education
that society tells me that I need to be able
(07:00):
to do the jobs that I'm hoping to do in
the real world, and I'm still somehow less employable than
people who have been in this industry for a long
time or because of artificial intelligence. That is a terrible
place to be. So what are the answers? What can
we do? Is there a do we just kind of
funnel people more towards the trades. I mean, I understand
(07:21):
that previous generations probably feel like that's the smart thing
to do. But if you're doing work that you're not
passionate about or you can't find a way to be
happy doing, that's a tough life to live. And that's
not one that I think millennials and gen z especially,
and it's just gonna get worse with Jen Alfaz. They
start to grow up, they want to do stuff that
they like to do. They don't want to be miserable
(07:41):
at work. They don't want to, you know, dread going
to work. I mean, I can attest that. I don't
know about you, Matt, but like I've had jobs where
it's like, oh, I can't believe them on the schedule.
I don't really want to go to that job. Of course,
this was part time work before I got into radio.
But people want to do stuff that they actually feel
excited and enthusiastic about going and doing. Whether that's because
they like the job itself, or they like the people
(08:01):
they work with, or they like the money, like anything
like that that can get them up and running. But
if we have a societal problem where now all of
a sudden, the twenty four and twenty five year olds
are less employable than regular people in general, even at
the cheaper rate of pay that you would figure that
they would command. I think that's a problem that we
need to address, and we need to stop blaming the
(08:23):
twenty year olds. We need to start blaming the fact
that we have a bit of an imbalance here with
the college system, the investment that the college system requires,
the artificial intelligence that's taking entry level jobs or entry
level roles, and the fact that the world's becoming just
generally more expensive for companies and individuals alike. This is
all a cocktail of misery for somebody who is unemployed
(08:48):
and is desperately looking for work. That's not to say
that every twenty five year old is adamantly looking for work,
and maybe they shouldn't be as picky as they're trying
to be. But what I am saying is this is
something we need to look at because this could sign
not to say that it is happening, but this could
be a sign of an economic issue, an economic crisis,
maybe even the R word session that could end up
(09:10):
popping up down the line. As this is something that
actually occurred in the two thousand and eight two thousand
and nine range as well. There was a kind of
a blip like this of the unemployment rate actually kind
of going up, and then all of a sudden you
started to see some of the other issues in the economy.
Not that it's always a harbinger of things to come,
but it is something worth keeping an eye on. Three
(09:32):
eighteen is the time. If you got thoughts on this,
you'd like to be a part of the show, call
us at four h two five five eight eleven ten.
Four h two five to five, eight to eleven ten.
You're listening to news Radio eleven ten kfab Emery Songer
study that was done and published and it's from the
US Census Bureau and their labor statistics, and it's showing
as of the end of March of twenty twenty five
(09:53):
and beyond it's about five point eight percent unemployment rate
for the recent college graduates aged twenty two to twenty seven.
All college graduates, the unemployment rate is dipping down. The
two point seven all workers is four percent, So all
workers in general four percent. Young workers unemployment rate six
point nine percent, recent college grads five point eight percent.
(10:16):
So those numbers are much higher than the average unemployment rate.
And I don't think we can just blame the fact
that these people don't want to get into the workforce,
they're trying to take advantage of some sort of welfare
system or anything like that. I don't think that's what's
happening at all. I think it has a lot to
do with the changing landscape with artificial intelligence, and just
to how difficult it is to stand out when everybody's
(10:38):
getting a degree for jobs that require that sort of thing.
Dave is on the phone line four h two five five,
eight eleven ten. Dave, thanks for being on the show today.
What's on your mind? Okay?
Speaker 3 (10:50):
Whoop?
Speaker 1 (10:50):
What do you think he was going to say? I mean,
you got to talk to him for a couple of
seconds before he hung up.
Speaker 3 (10:54):
It was something on topic. I can tell you that much.
Speaker 2 (10:57):
Yeah, well, he was saying something about university and AI,
so it's gonna be like that, you know, something like that,
maybe a little bit about college tuition. You know what
we could do, We could put all those words into
a chat GPT simulator and just kind of simulate what
we think Dave was gonna say. You know what, with
that in mind, do we even need callers? I could
(11:18):
just do that. You could give me some keywords, I
could spit out some chat GPT. I could throw my
voice all right, shut the phones off for now. Sorry,
if you're about to call in, but I'm not taking calls.
I want Matt to lock in with me here for
a second.
Speaker 1 (11:30):
Have you messed around with chat GPT at all lately,
or I know you messed around with grock more than
chat GPT.
Speaker 2 (11:35):
I have clicked on GROC a few times, just because
I found it in my little list of things there. Yeah,
it's really easy on Twitter to you know, you've never
actually been on chat GPT.
Speaker 1 (11:46):
Okay, so you know what I'm doing on chat GPT
right now. It's gonna sound really stupid and nerdy. We
nerd out. You're about Sargalactica guy. I can talk to
you about this. Sure just happens. You know, thousands of
people are listening, but it's fine. I have I have
an MLB the show, video game MLB the show, you know,
and you play baseball, and it has a bunch of
legends in the game, right, like guys who you know
used to play, and they go all the way back
(12:08):
to the early nineteen hundreds, like some of the great
players like Cyjung and Christy Matthewson and so on, Ty Cobb,
you know, guys Hannus Wagner, players who played like turn
of the century and just beyond nineteen hundred. But baseball
history is so fascinating. There's a lot of guys who
played baseball and were legends in their own way in
the eighteen hundreds. Now, the rules weren't all the same
(12:30):
and the game, you know, it would resemble baseball, but
it doesn't. It didn't have the same kind of rules
in the same kind of dominance. It was very as
a speed oriented game, not a like power oriented game.
Speaker 2 (12:41):
Uh.
Speaker 1 (12:42):
Pitchers pitched from a box and not a mound like
it was a little box late. They weren't onto an
elevated surface. The pitching distance was very different, you know,
for a lot of years, it was like forty five
to fifty feet before they moved it back to the
sixty feet six inches. All that stuff, right, But I
really wish that those guys were in the game. So
you know what I did with Chad GPT. I told
chat GPT, I wanted to make a twenty six man
(13:02):
roster of eighteen hundreds baseball players, and I needed information.
I had a conversation, a full conversation, going back and forth,
deciding on sixteen hitters and ten pitchers because the pitchers
back in the day they'd pitched the whole game usually,
and came up with a twenty six man roster of
players that I wanted to be on this team from
the eighteen hundreds, and then talked about what their attributes
(13:25):
would be in the game, and then I can just
punch it in and then what they would look like,
how their batting stance would be, all that stuff.
Speaker 3 (13:31):
And I did that for hours.
Speaker 1 (13:32):
With chat GPT while I was making these players in
the game, and it remembers all this so I can
go back into this conversation and immediately just be like, hey,
chat GPT, can you pull some other information from this guy?
And it's like, oh, yeah, sure, here's what you already know.
Here's the new information. I can go back there. I
can have a conversation with it at any point. Now
that's just for fun. I use it for work too,
(13:52):
if I need like some stuff, you know, information on
a story, just kind of like explained to me in
a way that I can understand. If something's a bit
more confusing, and there's plenty of stuff, trust me, ladies
and gentlemen that we talk about that on the surface,
I'm like, what, I don't really understand what this even means.
I punch it through to chat GPT or any artificial
intelligence machine and guess what it will give me, like
(14:12):
bullet points that I can kind of understand have a
better grasp of what we're talking about here, right. It
is an incredible tool. An incredible tool, Matt. If you
wanted to have a discussion about your favorite nineteen ninety
small forwards in the NBA, you would have a blast
talking to chat GPT because it will be able to
hold a great conversation with you and even argue with
(14:33):
you about different things and why certain things might be
different than you're seeing them. A twenty three year old
person that would command a bunch of money, and a
bunch not necessarily as much as a forty five year old,
but a twenty three year old entry level person who's
trying to get into the workforce, and they have the
same level of capacity as a chat GPT operation or
machine that costs me, I don't know, somewhere from zero
(14:54):
dollars to if you buy the chat GBT engine so
you have unlimited access to it, it's going to cost
you a lot less on a month to month basis
than an actual human worker would. So can you blame
businesses for exploring the idea of artificial intelligence helping resolve
some of their issues or helping kind of automate some
of what their workforce is in capitalism, that's what happens, right,
(15:18):
And that's the argument some artificial intelligence people are saying is, well,
the artificial intelligence might be taking some people's jobs, right,
but the people's jobs who are losing like they're losing jobs.
But we're going to need people to be able to
operate in program the artificial intelligence. So that's the future.
The same amount of people will be employed, their jobs
are just moving into a different sector. I don't know
if I believe that, but again, we're kind of in
(15:40):
the frontier phase of this. It's kind of the wild West,
and we'll have to see if these kids that are
fourteen years old now, who don't even know what they
want to do with their lives, when they start, you know,
thinking about college in a couple of years, they go
get their college degree, whether it's a bachelor's and masters
or even a doctorate, and if they start to move
into other sectors that really didn't even exist until you know,
(16:00):
the last few years, especially with AI and the kind
of technology that we're sitting in right now. It is
a fascinating study, and I think it is interesting to
see that big of a number of recent college grads
that would be commanding less money you would think than
the average worker with that level of unemployment rate. It
tells you AI and the changing landscape of the workforce
(16:23):
is really really making it difficult for young people to
figure out what they are going to be able to
do when work for a living. Something to keep in mind.
We got more on the way coming up stick Around
on news Radio eleven to ten kfab
Making the coffee and then like the presser thing that
she uses to like put it in there is a
bit confusing.
Speaker 3 (00:06):
Is it a French press?
Speaker 1 (00:07):
I have no, Maybe I don't know, but yeah, I
would just need maybe a little bit of practice. Or
I could just go and spend eight dollars on four
little bottles of frappuccino and call it good for the weekend,
you know, But you ask my second one, so I'm
I'm all starting to feel it. You know, what are
you drinking today? I'm drinking water.
Speaker 2 (00:25):
It is in my coffee thermos, but I refill it
with water. It's it's really it's just a I do
that too. I got a hint of coffee. I got
coffee water.
Speaker 1 (00:33):
It's coffee flavored water at this point, right, yeah, not
everybody's cup of tea, but or coffee.
Speaker 3 (00:38):
It is my hint of coffee water.
Speaker 1 (00:41):
This is I have a big Omaha Supernova's Stanley cup thing.
I like drinking water out of these, like I have
like a sporty water bottle I'll carry around too. But
there's just something about drinking water out of these. I
can see why the people went crazy for these, because
they're sizable and you don't have to keep going and
refilling it.
Speaker 3 (00:57):
What do you think forty four ounces or so?
Speaker 2 (00:59):
Oh yeah, thirty two to forty somewhere. And it's got
the handle. It's I can see the appeal. Sure it's
got and if it's a handle.
Speaker 1 (01:07):
And it fits in the in the cup holders in
your car, because it's got the skinny bottom and that
matters right right, you stick it in there.
Speaker 2 (01:14):
So they were using a lot of angles there to
make it just what the person might want.
Speaker 1 (01:18):
This is this is this is engineering at its finance.
This is why we pay people a lot of money.
Did you go to school? Did you go did you
get your college education? Did you uh? Were you in
a college class or two in your day?
Speaker 3 (01:29):
You know? Funny enough, I did go to college.
Speaker 1 (01:32):
It it helped you get a job.
Speaker 3 (01:33):
I think it's it's helped out. It's helped out.
Speaker 1 (01:35):
Do you think it was worth the investment? No, those
are personal questions. I'll answer. I'll give you my answers. Tom,
I'm going somewhere with this, dunt.
Speaker 2 (01:42):
I think that there's an interesting discussion to be had
about the bang for your buck you used to get
versus what you get now. Colleges seem to raise their
tuition rates every single year they do, and especially public ones, right,
the ones that are you know, generally more affordable in
the first place, university, right, And so you're definitely not
getting the same. But there's a lot of reasons for that.
(02:04):
Complicated factors is that so many people have them these days.
There's a lot easier to obtain and a lot of jobs.
It's very common for a job that used to not
have a degree requirement now does. And these days you'll
see master's degrees for entry level positions that you used
to not see. That's how they weed out, you know, candidates,
(02:24):
and that's pretty common. So yeah, it's an interesting market
for that sort of stuff. But yeah, So so here's
my vibe on all this, and again.
Speaker 3 (02:33):
Throwing this out there.
Speaker 1 (02:36):
You need I mean, if you're going into like a
white collar job, you're gonna need the education and you're
gonna need the opportunity. But what is another factor that
you think could be slowing down kids having the opportunity
to get banged for their buck from their college degree.
And I'll help it's something that you are afraid of.
Speaker 2 (02:52):
I am, I'm afraid of. Yeah, what would that be
artificial intelligence. Oh eh, fear of artificial intelligence. I suppose
I do play that up.
Speaker 1 (03:02):
Sometimes artificial intelligence is being programmed at an entry level
like intelligence isn't it couldn't artificial intelligence resolve a lot
of issues that a twenty three year old entry level
person and a lot of jobs could do. Yes, they
don't have maybe the ability. Artificial intelligence can't talk to
a person and make you feel, you know, like you're
getting good customer service, but it can resolve a lot
(03:23):
of issues and can help kind of formulate things right. Well, now,
there is a study that has come out, and there
is a lot being made of this, that the amount
of unemployment for young college graduates is now higher than
the average unemployment rate as a whole for the greater
part of America, meaning that it's actually harder by the
(03:46):
numbers for somebody coming straight out of college to get
their first professional job or an early job while they're
in their twenties early mid twenties. It is actually harder
for them to get a job than somebody who is,
you know, doing work as a forty or fifty year
And you might be saying, well, yeah, that makes sense,
but it isn't always that way. A lot of companies
are always looking for that next generation because first of all,
(04:06):
they're usually cheaper. Right, entry level positions require entry level
job prices, right like entry level salaries. Entry level salary.
You're not going to give somebody entry level salary when
they're forty five years old. What forty five year old's
going to take entry level money unless they just are
coming out of not having a job. They're like desperate
right now. It's a multitude of things. I would imagine.
(04:29):
The first thing is exactly what I mentioned, is that
there is a I think a conversation to be had
for artificial intelligence kind of making things a little bit
more difficult. But I think there's also a bit of
this that maybe we're getting majors in all the wrong things.
That's not to say you shouldn't chase your dreams. Did
(04:50):
you major in something media related, radio related? I did, so,
you did, I did not. My major was in Sports
Business administration, So like I took a lot of fun classes,
I took a lot of coaching classes. I took a
lot of like accounting and things like that. You don'
want to know how much of my college classes for
four years at my small private.
Speaker 3 (05:10):
School, which I'm repping today. By the way, I don't
know if you saw, did you do.
Speaker 1 (05:14):
You know how much of that I actually use on
a day to day basis, Matt, Probably not a whole lot,
like less than ten percent for sure, Maybe less than that.
It might be closer to like two or three percent
of the actual knowledge. Now, I wouldn't change trade the
experience for anything in the world. I didn't go to
a big school, but I had I have memories and
lifelong friends from that time, so I'm not going to
say that I regret doing it. But I was able
(05:35):
to pivot and kind of get into I was doing
radio during the summers and kind of as a part
time job, and I pivoted while finishing that degree that
I ended up not using, and pivoted into a you know,
professional radio guy, first as a sportscaster and eventually moving
into the studio and eventually into news talk. This is
a I mean, it's one of those things that we
(05:55):
can talk about all the time about our kids getting
the best advice when they're going to school. But how
much do the rising tuition costs for public universities, private
universities across the board, for the most part. If you're
finding a college and it would be a private college,
because the public colleges aren't going to be cheaper at
any point. They're just constantly raising tuition prices. But if
(06:17):
you're going to a private school and you see one
that is actually like cutting its tuition prices, look into that.
I think it's totally worth looking into if they have
what you're studying, because you're just not going to see
that and you want more bang for your buck and
more value for your dollars. That's the best way to
go about it now. At the same time, you have
to understand that, like you said, Matt, you have to
in a lot of ways get a master's degree to
(06:38):
stand out from the crowd these days, that's six years
of school unless you really pile it on for four years,
and even then, I can't guarantee you in a lot
of ways that we're going to be able to get
you a job right out of school. You know, a
nightmare scenario is I'm doing four to six years of school.
I'm on the hook for all the student loans to
be able to go to school and get the education
that society tells me that I need to be able
(07:00):
to do the jobs that I'm hoping to do in
the real world, and I'm still somehow less employable than
people who have been in this industry for a long
time or because of artificial intelligence. That is a terrible
place to be. So what are the answers? What can
we do? Is there a do we just kind of
funnel people more towards the trades. I mean, I understand
(07:21):
that previous generations probably feel like that's the smart thing
to do. But if you're doing work that you're not
passionate about or you can't find a way to be
happy doing, that's a tough life to live. And that's
not one that I think millennials and gen z especially,
and it's just gonna get worse with Jen Alfaz. They
start to grow up, they want to do stuff that
they like to do. They don't want to be miserable
(07:41):
at work. They don't want to, you know, dread going
to work. I mean, I can attest that. I don't
know about you, Matt, but like I've had jobs where
it's like, oh, I can't believe them on the schedule.
I don't really want to go to that job. Of course,
this was part time work before I got into radio.
But people want to do stuff that they actually feel
excited and enthusiastic about going and doing. Whether that's because
they like the job itself, or they like the people
(08:01):
they work with, or they like the money, like anything
like that that can get them up and running. But
if we have a societal problem where now all of
a sudden, the twenty four and twenty five year olds
are less employable than regular people in general, even at
the cheaper rate of pay that you would figure that
they would command. I think that's a problem that we
need to address, and we need to stop blaming the
(08:23):
twenty year olds. We need to start blaming the fact
that we have a bit of an imbalance here with
the college system, the investment that the college system requires,
the artificial intelligence that's taking entry level jobs or entry
level roles, and the fact that the world's becoming just
generally more expensive for companies and individuals alike. This is
all a cocktail of misery for somebody who is unemployed
(08:48):
and is desperately looking for work. That's not to say
that every twenty five year old is adamantly looking for work,
and maybe they shouldn't be as picky as they're trying
to be. But what I am saying is this is
something we need to look at because this could sign
not to say that it is happening, but this could
be a sign of an economic issue, an economic crisis,
maybe even the R word session that could end up
(09:10):
popping up down the line. As this is something that
actually occurred in the two thousand and eight two thousand
and nine range as well. There was a kind of
a blip like this of the unemployment rate actually kind
of going up, and then all of a sudden you
started to see some of the other issues in the economy.
Not that it's always a harbinger of things to come,
but it is something worth keeping an eye on. Three
(09:32):
eighteen is the time. If you got thoughts on this,
you'd like to be a part of the show, call
us at four h two five five eight eleven ten.
Four h two five to five, eight to eleven ten.
You're listening to news Radio eleven ten kfab Emery Songer
study that was done and published and it's from the
US Census Bureau and their labor statistics, and it's showing
as of the end of March of twenty twenty five
(09:53):
and beyond it's about five point eight percent unemployment rate
for the recent college graduates aged twenty two to twenty seven.
All college graduates, the unemployment rate is dipping down. The
two point seven all workers is four percent, So all
workers in general four percent. Young workers unemployment rate six
point nine percent, recent college grads five point eight percent.
(10:16):
So those numbers are much higher than the average unemployment rate.
And I don't think we can just blame the fact
that these people don't want to get into the workforce,
they're trying to take advantage of some sort of welfare
system or anything like that. I don't think that's what's
happening at all. I think it has a lot to
do with the changing landscape with artificial intelligence, and just
to how difficult it is to stand out when everybody's
(10:38):
getting a degree for jobs that require that sort of thing.
Dave is on the phone line four h two five five,
eight eleven ten. Dave, thanks for being on the show today.
What's on your mind? Okay?
Speaker 3 (10:50):
Whoop?
Speaker 1 (10:50):
What do you think he was going to say? I mean,
you got to talk to him for a couple of
seconds before he hung up.
Speaker 3 (10:54):
It was something on topic. I can tell you that much.
Speaker 2 (10:57):
Yeah, well, he was saying something about university and AI,
so it's gonna be like that, you know, something like that,
maybe a little bit about college tuition. You know what
we could do, We could put all those words into
a chat GPT simulator and just kind of simulate what
we think Dave was gonna say. You know what, with
that in mind, do we even need callers? I could
(11:18):
just do that. You could give me some keywords, I
could spit out some chat GPT. I could throw my
voice all right, shut the phones off for now. Sorry,
if you're about to call in, but I'm not taking calls.
I want Matt to lock in with me here for
a second.
Speaker 1 (11:30):
Have you messed around with chat GPT at all lately,
or I know you messed around with grock more than
chat GPT.
Speaker 2 (11:35):
I have clicked on GROC a few times, just because
I found it in my little list of things there. Yeah,
it's really easy on Twitter to you know, you've never
actually been on chat GPT.
Speaker 1 (11:46):
Okay, so you know what I'm doing on chat GPT
right now. It's gonna sound really stupid and nerdy. We
nerd out. You're about Sargalactica guy. I can talk to
you about this. Sure just happens. You know, thousands of
people are listening, but it's fine. I have I have
an MLB the show, video game MLB the show, you know,
and you play baseball, and it has a bunch of
legends in the game, right, like guys who you know
used to play, and they go all the way back
(12:08):
to the early nineteen hundreds, like some of the great
players like Cyjung and Christy Matthewson and so on, Ty Cobb,
you know, guys Hannus Wagner, players who played like turn
of the century and just beyond nineteen hundred. But baseball
history is so fascinating. There's a lot of guys who
played baseball and were legends in their own way in
the eighteen hundreds. Now, the rules weren't all the same
(12:30):
and the game, you know, it would resemble baseball, but
it doesn't. It didn't have the same kind of rules
in the same kind of dominance. It was very as
a speed oriented game, not a like power oriented game.
Speaker 2 (12:41):
Uh.
Speaker 1 (12:42):
Pitchers pitched from a box and not a mound like
it was a little box late. They weren't onto an
elevated surface. The pitching distance was very different, you know,
for a lot of years, it was like forty five
to fifty feet before they moved it back to the
sixty feet six inches. All that stuff, right, But I
really wish that those guys were in the game. So
you know what I did with Chad GPT. I told
chat GPT, I wanted to make a twenty six man
(13:02):
roster of eighteen hundreds baseball players, and I needed information.
I had a conversation, a full conversation, going back and forth,
deciding on sixteen hitters and ten pitchers because the pitchers
back in the day they'd pitched the whole game usually,
and came up with a twenty six man roster of
players that I wanted to be on this team from
the eighteen hundreds, and then talked about what their attributes
(13:25):
would be in the game, and then I can just
punch it in and then what they would look like,
how their batting stance would be, all that stuff.
Speaker 3 (13:31):
And I did that for hours.
Speaker 1 (13:32):
With chat GPT while I was making these players in
the game, and it remembers all this so I can
go back into this conversation and immediately just be like, hey,
chat GPT, can you pull some other information from this guy?
And it's like, oh, yeah, sure, here's what you already know.
Here's the new information. I can go back there. I
can have a conversation with it at any point. Now
that's just for fun. I use it for work too,
(13:52):
if I need like some stuff, you know, information on
a story, just kind of like explained to me in
a way that I can understand. If something's a bit
more confusing, and there's plenty of stuff, trust me, ladies
and gentlemen that we talk about that on the surface,
I'm like, what, I don't really understand what this even means.
I punch it through to chat GPT or any artificial
intelligence machine and guess what it will give me, like
(14:12):
bullet points that I can kind of understand have a
better grasp of what we're talking about here, right. It
is an incredible tool. An incredible tool, Matt. If you
wanted to have a discussion about your favorite nineteen ninety
small forwards in the NBA, you would have a blast
talking to chat GPT because it will be able to
hold a great conversation with you and even argue with
(14:33):
you about different things and why certain things might be
different than you're seeing them. A twenty three year old
person that would command a bunch of money, and a
bunch not necessarily as much as a forty five year old,
but a twenty three year old entry level person who's
trying to get into the workforce, and they have the
same level of capacity as a chat GPT operation or
machine that costs me, I don't know, somewhere from zero
(14:54):
dollars to if you buy the chat GBT engine so
you have unlimited access to it, it's going to cost
you a lot less on a month to month basis
than an actual human worker would. So can you blame
businesses for exploring the idea of artificial intelligence helping resolve
some of their issues or helping kind of automate some
of what their workforce is in capitalism, that's what happens, right,
(15:18):
And that's the argument some artificial intelligence people are saying is, well,
the artificial intelligence might be taking some people's jobs, right,
but the people's jobs who are losing like they're losing jobs.
But we're going to need people to be able to
operate in program the artificial intelligence. So that's the future.
The same amount of people will be employed, their jobs
are just moving into a different sector. I don't know
if I believe that, but again, we're kind of in
(15:40):
the frontier phase of this. It's kind of the wild West,
and we'll have to see if these kids that are
fourteen years old now, who don't even know what they
want to do with their lives, when they start, you know,
thinking about college in a couple of years, they go
get their college degree, whether it's a bachelor's and masters
or even a doctorate, and if they start to move
into other sectors that really didn't even exist until you know,
(16:00):
the last few years, especially with AI and the kind
of technology that we're sitting in right now. It is
a fascinating study, and I think it is interesting to
see that big of a number of recent college grads
that would be commanding less money you would think than
the average worker with that level of unemployment rate. It
tells you AI and the changing landscape of the workforce
(16:23):
is really really making it difficult for young people to
figure out what they are going to be able to
do when work for a living. Something to keep in mind.
We got more on the way coming up stick Around
on news Radio eleven to ten kfab
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