All Episodes

August 11, 2025 18 mins
Mark as Played
Transcript

Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Hey everyone, and welcome back for another deep dive. Today
we'll be talking all about AI and job automation.

Speaker 2 (00:07):
Oh yeah, this is a big one.

Speaker 1 (00:09):
It really is, and it's something that I think is
on a lot of people's minds these days.

Speaker 2 (00:12):
Yeah, for sure. I mean it seems like every day
there's a new headline about how AI is going to
revolutionize this industry or that industry, or you know, how
it's going to take over all our.

Speaker 1 (00:21):
Jobs, right exactly. And it's easy to get caught up
and all the hype and the fear monitoring. But I
think it's important to take a step back and really
try to understand what's actually going on here.

Speaker 2 (00:31):
Absolutely. You know, I think one of the biggest misconceptions
about AI is that it's this sort of magical technology
that's going to solve all our problems or you know,
create some kind of dystopian future where robots.

Speaker 1 (00:42):
Rule the world, right, like in the movies.

Speaker 2 (00:44):
Yeah, exactly, like in the movies, But the reality is
much more nuanced and complex. You know, AI is a tool,
and like any tool, it can be used for good
or for bad.

Speaker 1 (00:54):
Okay, so let's maybe break this down a bit. Can
you give us a sort of working definition AI.

Speaker 2 (00:58):
Sure. So in a nutshell, well, AI or artificial intelligence,
is the ability of a computer or a machine to
perform tasks that would normally require human intelligence, such as learning,
problem solving, decision making, and even things like creativity.

Speaker 1 (01:13):
Okay, so it's not just about robots.

Speaker 2 (01:15):
No, not at all. You know, AI is already all
around us. You know, it's in our smartphones, it's in
our cars, it's in the algorithms that recommend products to
us online. And you know, it's even being used in
healthcare to diagnose diseases and develop new treatments.

Speaker 1 (01:29):
Wow. So it sounds like AI is already having a
pretty big impact on our lives.

Speaker 2 (01:34):
It is, and that impact is only going to grow
in the years to come. You know, some experts believe
that AI is going to be as transformative as the
Industrial revolution.

Speaker 1 (01:42):
So that's a pretty bold statement. What are some of
the ways that AI is expected to change the world
in the coming years.

Speaker 2 (01:48):
Well, one of the biggest areas of impact is going
to be on the job market. You know, as AI
systems become more sophisticated, they're going to be able to
automate more and more tasks that are currently done by humans.

Speaker 1 (01:59):
So that's where the whole fear of job displacement.

Speaker 2 (02:01):
Comes in, right exactly. You know a lot of people
are worried that AI is going to lead to mass unemployment,
but I think it's important to remember that technology has
always disrupted the job market. You know, the invention of
the automobile led to the decline of the horse drawn
carriage industry, but it also created new jobs in the
automotive industry.

Speaker 1 (02:18):
So are you saying that AI is going to create
new jobs as well as destroy old ones?

Speaker 2 (02:22):
Absolutely? You know, in fact, many experts believe that AI
is going to create more jobs than it destroys. But
those jobs are going to require different skills than the
jobs of today.

Speaker 1 (02:32):
So what kind of skills are we going to need
to thrive in an AI driven world.

Speaker 2 (02:37):
Well, for one thing, we're going to need to be
comfortable working with technology. You know, everyone is going to
need to have at least a basic understanding of how
AI works and how to use it. But more importantly,
we're going to need to develop those skills that are
uniquely human, the things that machines can't do, such as creativity,
critical thinking, problem solving, and emotional intelligence.

Speaker 1 (02:56):
Okay, so it's not just about learning how to code,
it's about developing those soft skills that make us human exactly.

Speaker 2 (03:03):
You know, the jobs of the future are going to
require a combination of technical skills and human skills.

Speaker 1 (03:08):
So how do we prepare for this future of work?
You know, what can we do to make sure that
we're not left behind?

Speaker 2 (03:14):
Well, the most important thing is to be adaptable and
to embrace lifelong learning. You know, the world is changing
faster than ever before, and we need to be willing
to constantly learn and grow and develop new skills.

Speaker 1 (03:25):
Okay, so be adaptable and embrace lifelong learning.

Speaker 2 (03:28):
Anything else, well, I think it's also important to focus
on those skills that are going to be in high
demand in the future, you know, things like data analysis,
machine learning, cybersecurity, and artificial intelligence itself.

Speaker 1 (03:40):
So those are the technical skills, yes.

Speaker 2 (03:42):
But it's also important to remember that not everyone needs
to be adiga scientist or a software engineer. You know,
there's going to be a growing need for people who
can bridge the gap between technology and humans. You know,
people who can communicate effectively about AI, who can explain
complex concepts in simple terms, and who can help us
understand the ethical implications of this technology.

Speaker 1 (04:02):
That makes sense. So it sounds like there's going to
be a role for everyone in the AI driven future,
whether you're a tech quiz or not.

Speaker 2 (04:09):
I think so, and I think it's an exciting time
to be alive. You know, we're on the cusp of
a new era of technological innovation and there's so much
potential for good. You know, AI has the potential to
solve some of the world's biggest problems, such as poverty, hunger,
and disease, but it's up to us to make sure
that we use it wisely.

Speaker 1 (04:29):
That's a great point, and it's something we're going to
be exploring in more detail and the next part of
our deep dive, Yes.

Speaker 2 (04:34):
We'll be taking a closer look at how AI is
being used in different industries, and we'll be discussing some
of the challenges and opportunities that lie ahead.

Speaker 1 (04:41):
So stay tuned. We'll be right back after the break.

Speaker 2 (04:43):
I'm really interested to get into the specifics of how
this is going to shake.

Speaker 1 (04:47):
Out me too. You know, we've talked a lot about
the big picture, but I think it's helpful to ground
this conversation and some real world examples.

Speaker 2 (04:54):
Yeah, absolutely, so let's dive into some of those examples
after the break.

Speaker 1 (04:58):
Sounds good seeing if you.

Speaker 2 (05:00):
So, where do you want to start?

Speaker 1 (05:01):
Well, I think a good place to start might be
with finance. You know, it's an industry that's already been
pretty heavily impacted by technology, and I think it's one
where we're likely to see even more disruption from AI
in the years to come.

Speaker 2 (05:12):
Yeah, for sure. I mean, finance is all about data, right,
and AI is really good at processing and analyzing large
amounts of data, so it's a natural fit.

Speaker 1 (05:22):
So what are some of the ways that AI is
being used in finance right now?

Speaker 2 (05:25):
Well, one of the most common applications is in fraud detection.
You know, AI algorithms can be trained to identify patterns
of behavior that are indicative of fraud, so they can
flag suspicious transactions for human review.

Speaker 1 (05:39):
That makes sense. So it's like having an extra set
of eyes watching over all.

Speaker 2 (05:42):
The transactions exactly, and it's much more efficient than having
humans try to do it all manually. You know, AI
can process millions of transactions in a matter of seconds,
so it can really help to improve security and reduce losses.

Speaker 1 (05:54):
So that's fraud detection. What else?

Speaker 2 (05:56):
Another big area is in algorithmic trading. You know, this
is where AI systems are actually making investment decisions on
their own based on their analysis of market data.

Speaker 1 (06:03):
Oh wow, So these algorithms are like robot stock traders.

Speaker 2 (06:07):
Yeah, kind of. You know, they're using complex mathematical models
to try to predict how the market is going to move,
and then they're buying and selling stocks accordingly.

Speaker 1 (06:15):
So it's like the ultimate form of quantitative.

Speaker 2 (06:17):
Investing exactly, and it can be very effective. You know,
some of the most successful hedge funds in the world
are using AI powered trading systems.

Speaker 1 (06:26):
But isn't there a risk that these algorithms could go rogue?
You know, like what if they start making bad decisions
and cause of market crash.

Speaker 2 (06:34):
That's definitely a concern. You know, it's important to have
safeguards in place to make sure that these systems are
operating as intended. But I think it's also important to
remember that humans make bad decisions too. You know, we've
seen plenty of market crashes that were caused by human error.

Speaker 1 (06:48):
That's true. Okay, So we've talked about fraud detection and
algorithmic trading. What are some of the other ways that
AI is being used in finance.

Speaker 2 (06:57):
Well, AI is also being used in things like risk assess,
customer service, and loan underwriting. You know, it can really
help to automate a lot of the tasks that are
currently done by humans, which can free up those humans
to focus on more strategic work.

Speaker 1 (07:11):
Okay, so it sounds like AI is already having a
pretty significant impact on the finance industry.

Speaker 2 (07:16):
It is, and that impact is only going to grow
in the years to come. You know, as AI systems
become more sophisticated, they're going to be able to take
on even more complex tasks, and they're going to become
even more integrated into the fabric of the financial system.

Speaker 1 (07:29):
Okay, so finance is definitely one to watch. Yeah, what
about some other industries. How is AI being used in retail?
For example?

Speaker 2 (07:36):
Oh, retail is another big one. You know, AI is
being used in everything from personalized recommendations, to inventory management
to customer service.

Speaker 1 (07:44):
So like when I'm shopping online and I see those
recommendations for products that I might like, that's AI at
work exactly.

Speaker 2 (07:51):
You know, those recommendations are based on your past browsing
and purchase history. So AI is being used to try
to predict what you're most likely to be interested in
and to show you those products, and.

Speaker 1 (08:00):
That can be helpful. Yea. Sometimes it's like those algorithms
know me better than I know.

Speaker 2 (08:04):
Myself, right, But it can also be a little creepy,
you know, it's like those algorithms are watching my every move.

Speaker 1 (08:11):
It is a little bit big brotherish, isn't it.

Speaker 2 (08:14):
Yeah, But it's also just the reality of the world
we live in now. You know, our data is being
collected and analyzed all the time, whether we like it
or not.

Speaker 1 (08:21):
Okay, so personalized recommendations. What else?

Speaker 2 (08:24):
Another big area is in inventory management. You know, AI
can be used to track inventory levels in real time
and to predict future demand, so retailers can make sure
that they have the right products in stock at the
right time.

Speaker 1 (08:37):
That makes sense. So it can help to reduce waste
and improve efficiency.

Speaker 2 (08:41):
Exactly, and it can also help to improve the customer experience.
You know, nobody wants to go to a store and
find out that the product they're looking for is out
of stock.

Speaker 1 (08:48):
Right, so AI can help to make sure that doesn't.

Speaker 2 (08:50):
Happen, exactly, And it can also be used to personalize
the shopping experience in other ways. You know. For example,
some retailers are using AI powered chatbots to provide customer service.

Speaker 1 (09:01):
Oh yeah, I've seen those. You know, those little pop
up windows that ask if you need help.

Speaker 2 (09:04):
Yeah, so those are often powered by AI. You know,
they can answer basic questions about products and services, and
they can even help you to place an order.

Speaker 1 (09:11):
That's pretty cool. So it's like having a virtual assistant.

Speaker 2 (09:14):
Exactly, and it can be a really convenient way to
get help, especially if you're shopping online late at night
or on the weekend.

Speaker 1 (09:20):
Okay, so AI is being used in a lot of
different ways in retail. What about healthcare? Is AI having
an impact there as well?

Speaker 2 (09:28):
Oh yeah, healthcare is another industry that's being transformed by AI.
You know, it's being used in everything from drug discovery
to medical diagnosis to patient care.

Speaker 1 (09:38):
Wow. That's pretty amazing. Can you give me some specific examples.

Speaker 2 (09:42):
Sure. So one example is in medical imaging. You know,
AI algorithms can be trained to analyze medical images such
as X rays and CT scans, and they can actually
identify patterns that human doctors might miss.

Speaker 1 (09:55):
Wow. So it's like having a second opinion from a.

Speaker 2 (09:57):
Computer exactly, and it can be really helpful in catch
things early on, you know, when treatment is most effective.

Speaker 1 (10:03):
So it can actually save lives.

Speaker 2 (10:04):
Yeah, it potentially could. You know, there's a lot of
excitement about the potential for AI and healthcare.

Speaker 1 (10:10):
That's incredible. What else?

Speaker 2 (10:11):
AI is also being used to develop new drugs. You know,
it can analyze huge amounts of data to identify potential
drug candidates and to predict how those drugs will interact
with the human body.

Speaker 1 (10:25):
So it can speed up the drug discovery process exactly.

Speaker 2 (10:28):
And it can also help to make the process more
efficient and cost effective.

Speaker 1 (10:32):
That's great because developing new drugs is really expensive in time.

Speaker 2 (10:35):
Consuming it is, so AI has the potential to really
revolutionize the way we develop new treatments.

Speaker 1 (10:42):
That's fantastic. Okay, So we've talked about finance, retail, and healthcare.
What about some other industries. How is AI being used
in manufacturing for example?

Speaker 2 (10:50):
Oh well, manufacturing is actually one of the industries that's
been using AI for the longest time. You know, robots
have been used on assembly lines for decades, but those
robots are becoming more and more sophisticated thanks.

Speaker 1 (10:59):
To So what can these new AI powered robots do
that the old robots couldn't do well.

Speaker 2 (11:06):
For one thing, they're more adaptable. You know, they can
be programmed to perform a wider range of tasks, and
they can adjust to changes in the environment more easily.

Speaker 1 (11:14):
So they're more like human workers.

Speaker 2 (11:16):
In some ways. Yes, you know, they're not going to
replace human workers entirely, but they can definitely augment their capabilities.

Speaker 1 (11:24):
Okay, so manufacturing is one area where AI is having
a big impact. Yeah, what about transportation.

Speaker 2 (11:30):
Transportation is another industry that's being disrupted by AI. You know,
we're already seeing self driving cars on the roads, and
AI is also being used to optimize traffic flow and
to improve the efficiency of logistics and delivery.

Speaker 1 (11:43):
So it's like AI is taking over the whole transportation system.

Speaker 2 (11:47):
Well, it's not quite there yet, but it's definitely moving
in that direction.

Speaker 1 (11:50):
It's amazing to think about how much our world is
going to change in the years to come thanks to AI.

Speaker 2 (11:55):
It really is. You know, it's an exciting time to
be alive and I can't wait to see what the
future holds me neither.

Speaker 1 (12:00):
Okay, so we've talked about a lot of different industries today,
but There's one more that I want to touch on,
and that's education.

Speaker 2 (12:06):
Oh yeah, Education is a really interesting one because it's
an area where AI has the potential to make a
huge positive impact.

Speaker 1 (12:13):
So how is AI being used in education?

Speaker 2 (12:15):
Well, one way is in personalized learning. You know, AI
can be used to create custom learning plans for each
student based on their individual strengths and weaknesses.

Speaker 1 (12:24):
So it's like having a personal tutor for every student exactly.

Speaker 2 (12:27):
And it can be really helpful in helping students to
learn at their own pace and to master the material.

Speaker 1 (12:33):
That sounds great because not all students learn at the
same pace.

Speaker 2 (12:37):
Right, So AI can help to level the playing field
and to make sure that every student has the opportunity
to succeed.

Speaker 1 (12:42):
That's a really important goal.

Speaker 2 (12:44):
What else, AI is also being used to automate some
of the more tedious tasks that teachers have to do,
such as grading papers and providing feedback, So that.

Speaker 1 (12:53):
Can free up teachers to spend more time actually teaching.

Speaker 2 (12:56):
Exactly, and it can also help to provide more consistent,
an objective feedback to students.

Speaker 1 (13:02):
That makes sense. Okay, So it sounds like AI has
the potential to really transform education.

Speaker 2 (13:06):
It does you know, it's still early days, but I
think we're going to see some really amazing things happening
in this space in the years to come.

Speaker 1 (13:12):
I'm excited to see what the future holds. Okay, so
we've covered a lot of ground today. We've talked about
how AI is being used in a wide range of industries,
and we've discussed some of the challenges and opportunities that
lie ahead.

Speaker 2 (13:25):
And in our next segment we'll be shifting gears a
bit and we'll be talking about some of the broader
societal implications of AI.

Speaker 1 (13:32):
So stay tuned. We'll be right back after the break.
All Right, So we're back, and you know, we spent
a good chunk of time now talking about how AI
is already being used in so many different industries.

Speaker 2 (13:43):
It's really mind blowing when you think about it, right,
I mean, who would have thought even just a few
years ago, that we'd be having conversations with chatbots, you know,
or that algorithms would be helping to diagnose diseases right exactly.

Speaker 1 (13:55):
And it's clear that AI is only going to become
more prevalent in our lives than the years to come.

Speaker 2 (14:00):
I mean, the pace of innovation in this field is
just incredible. And you know, we've talked a lot about
the potential benefits of AI, but I think it's also
important to talk about some of the potential risks and
challenges as well.

Speaker 1 (14:10):
Yeah. Absolutely. You know, it's easy to get caught up
in all the hype, but we need to be realistic
about the potential downsigns of AI.

Speaker 2 (14:17):
Too, exactly. So one of the biggest concerns is, of course,
job displacement. You know, as AI becomes more sophisticated, it's
going to be able to automate more and more tasks
that are currently done by humans.

Speaker 1 (14:29):
Right, And that's something that a lot of people are
worried about. Yeah, they're afraid that AI is going to
take their jobs.

Speaker 2 (14:35):
Yeah, and it's a valid concern. I mean, there's no
doubt that some jobs are going to be lost to automation.
But I think it's important to remember that technology has
always disrupted the job market. You know, the invention of
the printing press put a lot of scribes out of work,
but it also created new jobs in the printing industry.

Speaker 1 (14:51):
So you're saying that AI is going to create new
jobs as well.

Speaker 2 (14:54):
Yes, absolutely. I mean, in fact, many experts believe that
AI is going to create more jobs than it destroys.
But those jobs are going to require different skills than
the jobs of today.

Speaker 1 (15:06):
So what kind of skills are we talking about.

Speaker 2 (15:08):
Well, for one thing, we're going to need to be
comfortable working with technology. You know, everyone is going to
need to have at least a basic understanding of how
AI works and how to use.

Speaker 1 (15:17):
It, right, I mean, it's kind of like how everyone
needs to know how to use a computer.

Speaker 2 (15:20):
These days exactly. But beyond that, we're also going to
need to develop those skills that are uniquely human, the
things that machines can't do, such as creativity, critical thinking,
problem solving, and emotional intelligence.

Speaker 1 (15:33):
So those soft skills are going to become even more
important in the future, absolutely.

Speaker 2 (15:37):
I mean, those are the skills that are going to
set us apart for machines, and there are the skills
that are going to be in high demand in the
job market.

Speaker 1 (15:43):
Okay, so job displacement is one concern. What are some
of the other potential risks of AI?

Speaker 2 (15:49):
Well, another big one is bias. You know, AI algorithms
are trained on data, and if that data is biased,
then the algorithm is going to be biased too.

Speaker 1 (15:57):
Can you give me an example of that.

Speaker 2 (15:58):
Sure. So, let's say you're using an AI algorithm to
screen job applicants. You know, if the data that the
algorithm is trained on is mostly from white men, then
the algorithm is going to be more likely to recommend
white men for the job, even if there are equally
qualified candidates from other groups.

Speaker 1 (16:16):
Oh wow, So that's a real problem.

Speaker 2 (16:18):
It is, and it's something that we need to be
very careful about. You know, we need to make sure
that the data that we're using to train AI algorithms
is representative of the population as a whole, and we
need to be aware of the potential for bias in
these systems.

Speaker 1 (16:32):
Okay, so bias is another big concern.

Speaker 2 (16:34):
What else Well, another potential risk is the concentration of power.
You know, as AI becomes more powerful, it's going to
be increasingly controlled by a small number of large companies
and governments.

Speaker 1 (16:44):
And that could be a problem because because it could lead.

Speaker 2 (16:46):
To a situation where a few powerful entities have a
lot of control over our lives. You know, they could
use AI to manipulate us, to surveil us, to even
control us.

Speaker 1 (16:55):
That sounds pretty dystopient it does.

Speaker 2 (16:57):
And it's something that we need to be mindful of.
You know, we need to make sure that AI is
developed and used in a way that benefits all of humanity,
not just a select few.

Speaker 1 (17:07):
Okay, so we've talked about some of the potential risks
of AI, but I think it's also important to remember
that AI has the potential to do a lot of
good in the world too.

Speaker 2 (17:15):
Oh absolutely, I mean AI has the potential to solve
some of the world's biggest problems, such as poverty, hunger,
and disease.

Speaker 1 (17:23):
So how can we make sure that AI is use
for good?

Speaker 2 (17:26):
Well, one thing we can do is to focus on
developing AI systems that are aligned with our values, you know,
systems that are fair, transparent, and accountable.

Speaker 1 (17:35):
So we need to make sure that AI is used
in an ethical way exactly.

Speaker 2 (17:39):
And we also need to make sure that everyone has
access to the benefits of AI. You know, we need
to make sure that AI doesn't just benefit the wealthy
and powerful, but that it also benefits the poor and marginalize.

Speaker 1 (17:48):
So it's about using AI to create a more just,
an equitable world exactly.

Speaker 2 (17:54):
You know, I think AI has the potential to make
the world a better place. But it's up to us
to make sure that happens.

Speaker 1 (18:00):
Said, I think that's a great note to end on.
So to sum up AI is a powerful technology with
the potential to both help and harm us. It's up
to us to use it wisely and to make sure
that it's used for good.

Speaker 2 (18:13):
I agree. You know, we need to be thoughtful about
how we develop and deploy AI, and we need to
make sure that it's used in a way that benefits
all of humanity.

Speaker 1 (18:22):
Well that's all the time we have for today. Thanks
for joining us for another deep dive.

Speaker 2 (18:25):
Yes, thanks for having me. It's been a great conversation.

Speaker 1 (18:29):
And to our listeners, we hope you found this episode
informative and thought provoking. If you did, please be sure
to subscribe to our podcast and leave us a review.
And as always, keep exploring, keep learning, and keep diving deep.
Advertise With Us

Popular Podcasts

Stuff You Should Know
Dateline NBC

Dateline NBC

Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations. Follow now to get the latest episodes of Dateline NBC completely free, or subscribe to Dateline Premium for ad-free listening and exclusive bonus content: DatelinePremium.com

New Heights with Jason & Travis Kelce

New Heights with Jason & Travis Kelce

Football’s funniest family duo — Jason Kelce of the Philadelphia Eagles and Travis Kelce of the Kansas City Chiefs — team up to provide next-level access to life in the league as it unfolds. The two brothers and Super Bowl champions drop weekly insights about the weekly slate of games and share their INSIDE perspectives on trending NFL news and sports headlines. They also endlessly rag on each other as brothers do, chat the latest in pop culture and welcome some very popular and well-known friends to chat with them. Check out new episodes every Wednesday. Follow New Heights on the Wondery App, YouTube or wherever you get your podcasts. You can listen to new episodes early and ad-free, and get exclusive content on Wondery+. Join Wondery+ in the Wondery App, Apple Podcasts or Spotify. And join our new membership for a unique fan experience by going to the New Heights YouTube channel now!

Music, radio and podcasts, all free. Listen online or download the iHeart App.

Connect

© 2025 iHeartMedia, Inc.