Episode Transcript
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Speaker 1 (00:01):
A long story short.
There is a owner of a techcompany, right, and let me see,
because, with all these troublesthat you guys have not seen
behind the scenes, that articleis completely gone.
But we're going to find it realquick.
Ok, Sunita Shah.
(00:22):
He is the CEO of an Indian.
It's an Indian e-commerceplatform called I believe it's
pronounced Dukan D-U-K-A-A-N.
He replaced most of hiscustomer service team with a
altered version of chat GPT.
Right Now, this is kind ofsomething you and I have talked
(00:45):
about, because you know it isopen platform, hence open AI
being the company name.
If fed directly into what wetalked about last week, with
those 11 integrating much moreAI and conversational AI, of
course, but that is allowed himto integrate this into his
business.
Now, this will lead into a fearthat we know many of you have,
(01:09):
you know, when it comes tointegration of AI, and that's
why we're going to talk about it.
But this guy literally went onto roast his former employees
saying that the bots superior inperformance, it's cheaper.
He said it was a no brainer andsays quote the bot is like a
(01:32):
hundred times smarter andconstantly a fraction way paid
to his human team.
So this, you know, can reflecta growing trend or, as I said, a
growing concern among people toleverage AI technology for cost
cutting and, potentially, jobcutting improvements.
Right, Exactly, Air quote onimprovements, Not here to
(01:56):
promote that, but that is thecrux of what we're going to talk
about, man, and before we rollthe intro, I mean what we're
going to talk about is thatwe're going to talk about the
intro.
I mean, what are your initialthoughts on that?
Speaker 2 (02:08):
I mean, my initial
thoughts really are just that,
you know, it's kind of it'sinteresting to see that we've
gotten to this point so quickly.
After you know, generative AIis kind of like, really, I would
say, become mainstream.
I think that's the biggest,that's the biggest phrase there.
So it's interesting to see thatthis is happening and it and
(02:34):
I'm not I wouldn't be surprisedto see this happen more often or
start to become more and moreof a you know newer headline in
the news and we'll seeessentially the effects of.
In some ways, we're kind oflike a living.
It's becoming more and morelike a living study.
Speaker 1 (02:57):
Yeah, no, for that
doubt, and there definitely is.
Oh, you know, work in progress.
Anytime that you have somethinglike take smartphones, for
example, right, let's take thesebad boys, right here.
You could not have your phonesout at work, right, but also,
(03:21):
okay, well, so let's, let's backup.
Let's say it's 07, right, yeah,you can have your blackberry
out, because blackberry was veryintegrated into work culture
and if you're taking a call,you're taking a call, it's
probably a work call, right,yeah.
But then iPhone comes out andsocial media blows up, and then
(03:43):
all these things.
You know, so many times youtold, hey, you can't have your
phone out at work, but now youhave, you know, smartphones
integrated so deeply into whatwe do Technically.
I mean, for my job, which Iknow is unique, you know, being
marketing social media, but Ihave to have this, I have to
(04:05):
have it on me, you know, but youhave to have yours on you and
people in different workecosystems have to have it.
So I bring that up as ananalogy because we've seen this
change over over 15 years AI, tome, consumer, available, ai is
(04:29):
even more going to be, even moretransformative than smartphones
are.
Speaker 2 (04:33):
Yeah, no, you're
right yeah, so I think this will
be a good discussion.
Speaker 1 (04:40):
We're going to talk
about the future, what is the
future of work, of our economy,and what we believe the right
answer would be moving forward.
So, with that said, oh man,let's go ahead and get into it.
What's going on?
Everybody, I'm John and I'mDenison, and this is the catch
(05:07):
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Speaker 2 (06:35):
Oh, that works.
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With that said, let's jump backinto our topic, man.
So let's see where should we gowith this.
I mean, I think the big thingis let's address how this plays
(08:09):
into the concerns of people whenit comes to a more AI
integrated society.
Speaker 2 (08:14):
What do you think?
Yeah, I mean, of course there'sthese wonderful headlines right
Of where people AI is comingfor your jobs, or whatever like
that but I think the morerationale thing and of course,
in this particular case, ittechnically came for someone's
job, for better or for worse.
(08:35):
Yeah, again, like I said before, I don't know if how long this
will work.
You know, because, as we haveexperienced plenty of times on
the show and all sorts of otherstuff, the generative AI, even
(08:55):
if it's using the chat, gptmodel or any of the other ones,
have their flaws and it doesrequire some sort of human
intervention or human coachingto be good.
And I don't know what theseother companies are providing,
especially if you're going touse this on more of a customer
(09:16):
service side or customer salesside.
But I feel like there are someshortcomings there.
But, overall, though, I thinkthat I think we'll.
I think that and it's somethingthat I have felt and I've said
(09:38):
too on the podcast is that theAI that we are seeing has been
more integrated into our livesover a period, long period of
time.
It's just we're just now.
It's just now becomingmainstream or just now becoming
part of something that we allknow and love, right, or I guess
(09:59):
it's something that we all likenotice more now, right, I mean,
for the longest time, if youreally think about it, your
phones, right, your wonderfulyour iPhone or your or your
Android or whatever like thathas been using with the small
camera sensors that it has hasbeen using AI to upscale and
(10:20):
make those photos better.
I think that's probably one ofthe biggest things that a lot of
people don't even think about.
But I mean, your phone camerasare essentially using
computational photography tomake better pictures, right?
Of course, it's taking thepicture just with the little
sensor that it has, but there'sa ton of algorithms and AI
(10:43):
processes.
I guess, in some ways, it'smore algorithms for the most
part, but there's a lot ofintegration there that makes
your photos the way that theyare, and it's only become more
and more pronounced as time hasgone on.
I think it's just the thesurgeon, the, the the surgeon.
(11:05):
Popularity of chatbot AI hasbecome a big forefront, but it's
been there for a while.
Speaker 1 (11:15):
Yeah, I agree, man.
I think that's a great take onit too.
And you know, I was actuallywondering, after having read off
this situation with thisparticular company, right, it
almost seems like perhaps a moredramatic or a dramatized
situation.
I mean, first of all, how manyplaces do we go to nowadays that
(11:39):
just have chatbots for customerservice?
It's not like it's new.
Yeah, you know, yeah.
Speaker 2 (11:45):
And all of old AT&T
whenever I have some issues with
my service, and I'm talking toAT&T bot.
Right, yeah, exactly, give meone moment, sorry.
Oh yeah, I actually have totake this.
Speaker 1 (12:01):
Oh, no worries, I'll
cover for you, bro.
So one thing I was going to sayin response to that too.
I work with a company calledDistroKid.
That is when I started workingwith them.
I actually researched them andthey were up and coming and now,
but now they're the mostprolific independent artist
(12:23):
aggregate service.
So what this does is, you know,if you're putting out original
music but you don't have arecord label, you know it will
connect you to this and theplace is that the music needs to
go Apple Music, Spotify, allthat kind of stuff, right, and
so with that, your chatbot stilleven in a situation like that,
(12:47):
which again has not been new, isyour main form of customer
service, right, and you know youfind that interesting when it's
like technically a smallbusiness.
And you know, yeah, they'reworking with independent artists
, but also they're working withthousands, you know, not just me
(13:07):
.
So I think it comes down toneed.
I think the customer serviceindustry I will say, which, of
course, you know we want to getdenizens' takes on this too, but
I do think that the customerservice industry is probably
more at risk to being killed offdue to AI.
(13:31):
You know things like that,especially with you know we see
the prolific nature through Bardand whatever.
I always forget what Bing callsthe AI, but it is chat GPT,
it's just in web searchingformat.
We see these, how prolificthese are and how anyone can
(13:51):
have a conversation with them.
I mean, hell, they can writeyour term papers right.
But it does raise a red flagwhen it comes to the you know
industry side of it, employingpeople, and I think one thing is
you know people hate to see howbrash this guy is when it comes
(14:16):
to, again, this is Sunit Shah,ceo of Indian e-commerce
platform, dukan.
Okay, so let me look up.
Let me look up Dukan real quickfor our own knowledge and see
how big this is.
So it's found in 2020,relatively new as far as that
(14:37):
goes.
See, it says it's valued at$300 million, which is pretty
insane.
Let's say, staff Mount Well.
(14:58):
This outlook India, which isreferencing the same story that
we're referencing here tonight,says that the company laid off
90% of its staff for AI.
So this is a red flag, right?
This is obviously not whenDenison and I talk about the
benefits of AI and theprolificness of it and potential
(15:20):
for it too.
This is not what we're talkingabout, and I think a really good
third party perspective issomething that I am a light
night talk show fan.
I'm actually a huge StephenColbert fan.
I've been watching StephenColbert for a long time and yeah
, so we Um, he has first show onafter the writer strike the
(15:47):
other day, and Neil deGrasseTyson came on and, and Dennis
and I was just telling thepeople, too that the Paper in
India reported that this layoffwas 90% of the staff of this
company.
Man, wow, yes, I know, and thiscompany is 300 million, valued
(16:09):
at 300 million dollars, sothat's a pretty big deal, but
yeah, so what Neil deGrasseTyson said is that On this
interview with Stephen Colbertis that he has seen AI be
integrated in our society forway longer, but it wasn't until
(16:35):
it started to be able to writeour kids term papers or young
people's term papers.
Speaker 2 (16:40):
That we don't.
Speaker 1 (16:41):
Doesn't that?
Don't have kids spoiler-like,yeah, but but young kids term
papers right that people startfreaking out, which is
relatively true.
You know, sweepinggeneralization, but it really
was.
I mean, that was always thebiggest concern, which was so
weird.
(17:01):
I had to tune out of the mediafor a while because Denison got
me on chat GPT Right when itlaunched and we dove in and we
had a breath of knowledge thatwhen I would turn on the news,
all I would see is, well, peopleare concerned about how kids
are learning in school.
Now, blah, blah, blah.
You know and it's a Niels pointto.
(17:23):
He was like well, you know, onething we could do is make the
exams oral.
So you have to repeat it andshow that you did learn it.
You know, it doesn't matter ifyou learned it through AI or
what have you, but just showthat it's retained in your brain
.
Mm-hmm pay teachers more andhave more of them.
You know which I completelyagreed with, and so these are
(17:47):
really the two differingViewpoints.
You know that we're we'redebating.
I understand people don't wanttheir jobs to be taken from AI,
mm-hmm, but this is somethingthat I've preached Really ever
since we started doing this.
Man is just if you Makeyourself better by working with
(18:10):
it, which really, again, the keythere is work with it.
If you work with it, you'regonna be Right where you need to
be.
You're gonna maintain relevancy.
You're gonna have increasedproductivity.
Speaker 2 (18:28):
Mm-hmm.
Speaker 1 (18:29):
What that, where that
takes you, whether it's a
four-day work week or you'rejust Having to do more during
your regular work hours.
I don't know that's a TBD, butWithout a doubt I think the
answer is Maintaining relevancy.
Yeah, with AI, which I have nothad again in my job, my career,
(18:53):
I have not had a situationwhere I'm like, oh, I regret
doing that, you know yeah,exactly no, I think.
Speaker 2 (19:01):
I think that's Very,
very true.
It's similar to like whencomputers came bursting on the
scene, right, the individualswho were able to adapt quickly
and be able to, like, reallytake on computers and use it in
their day-to-day lives and beable to Use it in their work
(19:23):
lives, you know, thrived.
Where people who had a littlebit more of a difficult time,
they were more affected by thechange than the others.
So I think you know, justkeeping up on it and it and I
should really have to say too,just like you were saying, like
(19:44):
it doesn't even have to be likea full immersion, right, it's,
it's doing small things, right,just integrating it slowly into
your day.
One, you're gonna find a lot ofIncredible help that it can
provide.
But two, it also helps you Beable to be in the know.
Speaker 1 (20:06):
Right gives you a
better opportunity and you're
getting a chance to use thesetools you know, much more
competitive way right, I agree,and again, you know not to Keep
harping on this, but I justthink it's a great tactile
reference for this situation,which is Windows 11, having a
(20:31):
part of the AI be able to gothrough your emails for you and
say this is what you need tofocus on today.
That's dude.
Oh my gosh, you know you willgo into the office, you have
busy week.
It's Friday, you're white, yougo in, you like Password boom,
(20:54):
here's what you need to thinkabout today.
Perfect, just start doing it.
You know, I mean.
Mm-hmm.
Those small things add up Tosuch a different mentality and
approach to life when you don'thave to worry about all this
other stuff.
Speaker 2 (21:08):
You know, I mean yeah
, no, you're right, exactly it.
Really it gets you to a pointwhere you can really just Kind
of jump in the autopilot.
Yeah and so he's right.
It leaves out all thedistractions.
In some ways, it's like yourblinders, your AI blinders, to
(21:30):
help you stay focused in yourone, in the Spot where you need
to be, because it's so easy,especially nowadays, to just get
caught up in everything andlike go everywhere.
Speaker 1 (21:42):
Well, yeah, and I'm a
big compartmentalization guy
this is seemingly come up a lotlately, but to be able to, I
mean you, compartmentalize.
So what?
What do I have to do today?
Oh well, oh my no, you don'teven have to think about that,
you're like, I'm just doing myjob today.
Yeah, I don't have to worryabout what that is.
(22:03):
I don't will have it laid outfor me.
You know, mm-hmm.
So I think it's a great tool.
I know that you and I are ofthe same mindset on this, so
let's, let's take a step backfor a second right.
This is obviously I was sayingI mean just a minute ago as well
that the customer serviceindustry is probably more at
(22:27):
risk with these types ofinnovations than Perhaps any
other.
You know and again, that's notnew, like we were saying earlier
but what would you say likewhat, what concerns, or what
jobs and career paths would yoube concerned for as AI becomes
(22:47):
more prevalent?
Speaker 2 (22:50):
You know it's kind of
hard to predict because I would
say that AI, the AI, ai that wehave currently has a lot of of
really, um, it's very broad,right, it's very general.
So I would say, well, I shouldsay it makes it to where there
(23:16):
are certain jobs that justdoesn't really make much sense
for it to take over as much aswe thought it would right,
because most people are like, oh, it'll be the quick, simple
jobs or whatever like that thatare going to be taken over.
But you know, chat GPT is notgoing to take over, like I don't
know, lawn work or or or orlike your cashier type deal.
(23:41):
But it can to an extent, yes,but it could take over some of
the more customer service roles,such as like, like just normal
support roles, stuff that's kindof already automated in a
certain avenue, like with someof the automated systems, like I
(24:03):
said, not to harp on AT&T, butthey just happen to be my
internet provider.
But you know you can call AT&T,right, and you're going to get
a bot, right, you're, most ofyour stuff is going to be a bot
and then if the bot can't fixyour issue, it's going to go to
a person.
So I think you know I caneasily see it to being where
(24:24):
maybe it you get that first lineof bot right, that that not
super smart bot and then ittransfers over to like a chat
GBT bot or something similar tothat, a little bit more advanced
, that's able to ingest thatinformation and be able to spit
out answers that hopefully, forthe most part, should be correct
(24:45):
and be able to help thecustomer get to the correct
avenue.
Or even if you know someone'son the website they need a quick
chat chatting directly throughthere.
I can see those jobs going awaya lot faster than some of the
others.
I can also see one that I thinka lot of people don't think
(25:06):
about are some of the maybe insome ways project management
jobs or maybe even scrum masterjobs, because a lot of that is
just compiling, compiling thedata right and then just
(25:28):
summarizing that data and saying, hey, these are some things
that we can work on.
I could see something similarto like an AI or a more, more
advanced version of chat GBTthat can auto prompt itself that
says, hey, my team is or thisteam is having issues with this,
(25:51):
this and this.
We're seeing this trend.
What is the best course ofaction, go right.
And then it figures out what isthe best course of action off
of the information that it hasprovided, and then going back
and talking to the team andsaying, hey, guys, this is what
we need to focus on, these areour goals.
Boom, boom, boom, right.
(26:12):
Or you give it a big project,right?
You just say, hey, we need to,we need to create a, I don't
know.
We need to build out this onebuilding and it needs to have
this, this and this, right, boom, you give that to the AI and it
(26:33):
goes through and says, okay, sowhat do we need to get this,
this and this done with theorganizations, resources, all
sorts of stuff like that.
Here's our roadmap.
Boom, do this, this, this, yeah.
And then.
And then you can have it towhere it's like.
It creates reminders for itself, right, where, oh we're, we're
(26:54):
six months away.
Sure, let's check in, in witheverybody, let's grab the next
amount of data to see how farwe've gotten, and then let's you
know what do we need to do fromthis point on.
Boom, new roadmap.
And then just kind of keeppushing yourself slowly through
until you get all the way intothe spot.
So, certain managerial jobs, Ithink have a possibility of
(27:18):
getting integrated or or maybepossibly pulled, because those
are chat GBT I'm just going touse that as the example but a
lot of the AI chat but it seemedto be really, really good when
it comes to conversation, likeif you're just do a conversation
(27:41):
with a person and just havingthat human connection.
It's really good at mimickingthat feel of like actually
talking to a human on the otherside and I think that is half of
the amazingness of of chat GBTin general right Of just how
(28:08):
well it can mimic that and howwell it can probably it can
connect to people and if you putthat in a managerial role, that
becomes pretty darn powerful.
Speaker 1 (28:22):
Yeah, yeah, without a
doubt, man and that was
actually something I wasmentioning earlier too is just
how you know, I don't know, itwould obviously depend on the
job.
If you're doing routineprojects, you know, perhaps that
would work just fine, you know?
Oh, you know this is.
You know, say that you weld forgeneral motors, right, I mean,
(28:48):
that is okay.
Yeah, simple AI management foryou know, for that kind of a
thing.
Oh, we have a new car.
These are the points you haveto hit when it comes by on this
part.
You know that kind of a thing.
That's a good outsideperspective.
I'm not gonna lie to you.
(29:08):
My thought was a little moreretail, but specific retail.
For example, you know, if yougo to a Marshalls or a TJ Maxx,
you're gonna have people there.
You know what I'm saying.
It's not gonna be like, oh,hello, person, what clothes
would you like to wear today?
Yeah, but things like Carvana,you know, you could have that
(29:33):
totally run by AI.
Yeah, that's true.
Other than that, you probablywould need human customer
service for you know that kindof stuff, but still, yeah, you
could have that run totally byAI.
One other that I could seechanging, and again, why caveat
(29:53):
this, dennis, and I don't wantthis to happen.
There are ways, I think, youcould integrate AI into these
workflows.
You know, we don't want peopleto lose their jobs.
I feel like the fast foodindustry man.
Hear me out.
Everyone uses McDonald's as theexample, but for simplicity
(30:15):
sake, we'll do that.
You know they haven't changedtheir menu for over a decade.
I mean, I think it's beenlonger than that, yeah.
Yet you don't really fully knowwhat you're getting when you
order it, because it's alwaysmade by different hands, and you
(30:35):
know and not that that's a badthing.
I mean, you know, I have afavorable, bold Chick-fil-A up
here, versus the one I wouldotherwise go to.
You know, I mean, it's not thatthing by any means, but one
thing I could see them doing ismaking sure the quality is high
while the financial loss ofingredients is low, which is
(30:57):
annoying that they do that, butthey do and then keeping it
consistent all the way throughwith AI production, you know.
Speaker 2 (31:05):
Yeah, I can see that.
I can see that, and funnyenough that you talked about
that as, because I believe insomewhere I believe it's in
North Texas McDonald's opened up, actually a fully automated
McDonald's restaurant.
That's right, it doesn't, butit makes the food automated too,
(31:27):
I believe so I believe there's,like it's supposed to be, like
almost zero humans know where itmakes the food and then it, you
know, gets it out to thecustomer and boom.
Speaker 1 (31:42):
Yeah, I'm only about
a year behind on that,
apparently.
Yep, sure enough.
Yeah, just shows this conveyorbelt delivering the food out the
window.
Yeah, it's pretty much exactlywhat I'm talking about.
And again, you know we're notin favor of this by any means.
(32:03):
I am a fan of AI, and Denson istoo, obviously, but I'm a fan
of how it can elevate us, youknow, not replace us.
Speaker 2 (32:15):
That's not what we're
here for.
Speaker 1 (32:16):
Exactly.
And so you know you could stillhave a customer service
interaction from the standpointof working at the McDonald's,
right, and maybe make the food,but you oversaw that was made
well, and hey, you guys needanything else.
Is there anything I can grabfor you?
(32:37):
That kind of stuff, right?
I think there's tons ofpotential, tons of opportunity
here, and it is sad that thenyou have people like this, sumit
Shah that we're talking aboutthat, just laid off 90% of his
company in favor of AI.
You know what I mean, but it'sonly a three year old company,
(32:59):
so maybe he doesn't know whathe's doing yet.
Yeah, but anyway, yeah, man, Imean this is.
I think we covered a lot.
This is really all I had to sayabout it, unless did you have
anything you wanted to add?
Speaker 2 (33:13):
No, I mean I just to
kind of piggyback off of off of
what you said.
You know I think we can getsorry, I'm having the multi task
a little bit here, but I thinkthat a I think we can really do
a really amazing job.
Um of Gosh darn, I'm sorry.
(33:40):
I think we can do a reallyamazing job of integrating AI
into our day to day lives,whether it be work lives or
anything like that, to be ableto enhance our productivity,
enhance what we do, how we do itand also how we interact with
(34:05):
each other.
I think it has the ability toget it to where we as a society
are able to come together betterthan we were before, because we
can use AI to take away some ofthe distractions that were
actually causing us more harmthan good that has developed
(34:26):
from our modern society.
I think that we can use some ofthese headlines and these
articles as a good example ofwhere not to push too far into
and to really get us in theright direction.
Speaker 1 (34:48):
Yeah, absolutely.
I think you said it very well.
It's just about keeping an openmind, but also not a selfish
one.
I think that's what we'reseeing here.
In this situation, is this dudethinking, bottom line only not
what's best for my customers, orthings like that?
(35:10):
I think that's a short-sightedand potentially damaging way to
approach this.
Like I said, I completely agreewith everything that you said.
I think we had a gooddiscussion on this and I'm
thankful for every one of youthat jumped on this live stream,
especially so late in theevening.
(35:31):
We always have a good time.
Remember, please follow,subscribe wherever you're
listening, wherever you'rewatching, jump on the live
streams with us each Thursdaynight.
We want to hear your thoughts.
We would love to have yourinput on this topic, even if
you're on the rewatch.
Let us know what you thinkabout it.
Number two, let us know whatyou think.
(35:53):
Leave us a rating review.
Wherever you're listening,wherever you're watching, helps
us out a lot.
Then, number three, you want tosupport the show.
Go check out the link whereveryou're listening, wherever
you're watching, and check outour shop.
We got bunches of cool merch inthere that we think you're
going to love.
With that said, you got thispodcast.
(36:16):
You got Loki Season 2.
You got a new Drake albumcoming out.
You don't need more content.
Speaker 2 (36:23):
Exactly, Exactly, For
my gamers.
You also have Cyberpunk 2077Phantom Liberty out.
You know, Spider-Man's aroundthe corner.
Speaker 1 (36:34):
How dare you not
mention Assassin's Creed, Mirage
man?
Speaker 2 (36:38):
Anybody care about?
No Assassin's Creed bro.
Speaker 1 (36:41):
Jeez, I'm about to go
right up on you, bro.
Now I have to say a quick sidenote.
I watched the trailer forAssassin's Creed.
The whole time I was watchingit I was like this looks like
what they put out 10 years ago.
Yeah, I'm sure I'm not alonewith that thought.
(37:02):
Anyway, so I digress on that.
Thank you, guys, so much forlistening, thank you for
watching, and we'll catch upwith you next week.