August 13, 2025 • 42 mins
The rise of artificial intelligence presents the greatest entrepreneurial opportunity of our lifetime, if you approach it with the right mindset. Drawing a powerful parallel between AI and calculators, our guests explore how both tools faced initial resistance before becoming indispensable. The key difference? While calculators primarily impacted mathematics, AI is simultaneously transforming every industry on the planet.
Many business owners feel overwhelmed by AI, unsure where to begin or how to implement it effectively. Our conversation clarifies that you don't need to become an AI expert; you need to become skilled at finding and managing AI specialists for your specific needs. The distinction between Large Language Models (LLMs) like ChatGPT and AI agents proves crucial; while LLMs answer questions, agents perform tasks by connecting to tools and taking actions on your behalf.
The discussion reveals how AI consulting is rapidly specializing, with experts developing deep knowledge in specific industries and functions. This creates unprecedented opportunities for entrepreneurs who can identify these specialists and deploy them strategically. Perhaps most exciting is AI's ability to mine existing business data, extracting value from decades of unstructured emails, contacts, and documents that contain hidden insights about your customers and operations.
Throughout the conversation, our guests emphasize that your mindset determines your success with AI. Those who view it as a threat will seek information that reinforces that perspective and likely fall behind. Those who see unlimited opportunity will take action, experiment, learn, and ultimately thrive. The choice is yours; will you treat AI as the calculator of the 21st century and leverage it to solve previously impossible problems?
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Episode Transcript
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Speaker 1 (00:00):
But if you took a math teacher that absolutely
would not allow calculators orthey're still students that use
calculators, they would be doinga disservice to the students.
Speaker 3 (00:09):
Yeah 100% because everyone else in society is
using calculators.
Speaker 1 (00:13):
Yeah, but if you have a teacher that, like you said,
teaches the core fundamentals,then teaches how to use the
calculator, the right ways touse a calculator, when to use it
now they're learning plus usingtools.
I think that that is theresponsibility and burden of the
new teacher is to look at AI asa new calculator.
The difference is, though, isthat the calculator really only
(00:35):
impacted math or engineering anda lot of the math related
subjects, Whereas AI isimpacting every single subject
that's ever existed on planetearth right now.
Speaker 4 (00:53):
I did have a student this last semester and I'm sure
AI was used.
I had him write a paper aboutan entrepreneur who had done a
turnaround.
Okay, that was the assignmentand I get this thing back.
And you got to have at leastthree sources of information.
I get this thing back.
I'm reading about it Now.
I don't normally go to thesources, but it's something
about it seemed odd to me.
I go to the sources First, IGoogle the guy Can't find him
(01:14):
associated with this company.
Then I look at the sources.
None of the sources existed.
Now how do you?
I mean, I would bet you anyamount of money that that came
out of AI.
Speaker 2 (01:26):
Oh yeah, 100%.
You know that just happened inour government.
Speaker 4 (01:31):
Yeah Well, they've seen it with like law cases and
stuff where they cite stuff thatdoesn't even exist.
How can I trust this thing?
How does a business owner buildup trust?
Let's say we just had to do theproduct comparison and it gives
me all this data back aboutpricing and quality and
(01:51):
components that go into this orwhatever, and it's all bs.
How do I know?
Speaker 2 (01:57):
I could talk about this for another hour, but, yeah
, I get, I get excited aboutjust.
You know, in a perfect world,you know it's a tool Like it
might be oversimplified, butit's like a math teacher and a
calculator, like you teach thestudents first the underlying
principles and then you teachthem how to use a calculator,
(02:18):
and then, with a calculator,they're capable of math problems
way beyond what they could doon pencil and paper.
And I see the same thing withAI tools in writing.
But it has to be done the rightway.
Speaker 4 (02:33):
So it has to be done by somebody who knows how to
write.
Yeah.
Speaker 2 (02:35):
I guess that's what you're saying.
It needs to be done the rightway and follow the right flow,
because it's just like in anyresearch paper if you start with
what I want to write about andthen I'm only going to look for
articles that support me.
If you do that, ai is going todo that and if it can't find an
article to cite, it makes it up,because it was told you must
(02:58):
have 15 citations.
I only find seven.
Here's eight more that soundright Could be, but if you flip
it and actually follow the kindof a good research plan is, I'm
going to start with the researchRight.
Speaker 4 (03:14):
Yeah, what do you have on this topic, right?
So let's go to.
Speaker 2 (03:17):
AI and do a deep research query.
Speaker 4 (03:19):
Very good point yeah.
Speaker 2 (03:21):
And then, okay, I've found all of these articles, Now
I might use AI to summarizeeach one, and then I might use
AI to help me workshop anoutline.
And I'm still following thewhole writing process.
I'm just using AI to make itfaster and more efficient.
And then I actually startwriting, and then maybe I use AI
(03:41):
to act as a professor,professor proofreading and
scoring me and grading me, andso I've already had a first line
of defense before I go to theprofessor.
Speaker 3 (03:51):
Yes.
Speaker 2 (03:52):
So they're like but that's in a perfect world and
that's if.
I had utmost control overeverything my students would do,
which obviously doesn't exist,and people are lazy.
Speaker 1 (04:04):
I love this calculator example.
All this stuff that's happening.
It's not anything we haven'tbeen through before in humanity.
But if you took a math teacherthat absolutely would not allow
calculators, or there's stillstudents that use calculators,
they would be doing a disserviceto the students.
Speaker 3 (04:22):
Yeah 100%, because everyone else in society is
using calculators?
Speaker 2 (04:25):
Sure, yeah.
Speaker 1 (04:28):
But if you have a teacher that, like you said,
teaches the core fundamentals,then teaches how to use the
calculator, the right ways touse a calculator, when to use it
now they're learning plus usingtools.
I think that that is theresponsibility and burden of the
new teacher is to look at AI asa new calculator, yeah.
The difference is, though, isthat the calculator really only
(04:51):
impacted math or engineering anda lot of the math-related
subjects, whereas AI isimpacting every single subject
that's ever existed on planetEarth right now.
Speaker 2 (04:56):
Right, right, yes.
Speaker 1 (04:59):
Now every teacher has to learn how to use a type of
calculator within their teachingcredential.
Speaker 4 (05:04):
Yeah, and I think, or every business owner has to
understand the process thatunderlies all this.
That's right thing.
Whatever they're trying to do,that's right.
Right they have to.
Speaker 1 (05:15):
They absolutely have to, and so, like I think the
challenge to you, mark, right,as a professor, is how do you
start like?
And there's going to betrendsetters, right, like there
were when the calculator cameout.
There's a lot of people thatresisted that probably the
majority of them but there'sones that started using the
thing and helping their studentsgraduate.
That's proper, right.
It's like my daughter, 17, myyoungest daughter.
(05:38):
They don't let her use AI inschool, but I'm thinking that's
not good.
She's going to yeah, that'swhat, exactly where I was going.
Speaker 4 (05:46):
It's not good yeah, you're not teaching her to use a
tool that's available to her.
That could.
Speaker 1 (05:50):
Right, yeah, that's making all the difference in the
world.
But I got her on perplexity.
You know I love perplexity.
I'm a big perplexity fan.
Speaker 2 (05:58):
I don't know anything about it.
Speaker 1 (06:00):
It's an awesome tool, right AI search.
Ai search, it's basicallybringing together the internet
search with AI, whereas theother ones don't do that.
I think you would be… Google onsteroids.
Well, yeah, I think the bigdifference would be back to the
sourcing example.
Perplexity would not give youfake resources because it cannot
(06:21):
, because it has to getresources from the web but
anyway, it was amazing to seeher starting to use that and
prompting that, but I feel likethat just empowered her now to
be even more—.
Dr Darrell Bock, do a betterjob, dr Darrell Bock.
To do even a better job, drDarrell.
Speaker 4 (06:39):
Bock, yeah, I got it.
We don't all have a Josiah,though, dr Darrell.
Speaker 3 (06:45):
Bock no, we don't.
We don't.
You know what I mean.
Speaker 4 (06:46):
I don't think we need to, or a Connor that
understands this stuff and themisinformation scares the heck
out of me.
Speaker 2 (06:56):
The times I've talked with teachers.
I did a few workshops inSpringdale, at Haas Hall in
Fayetteville.
You know teachers are rightlyso very concerned about cheating
and stuff like that and so oneplan is just like okay, not, not
use it at all, you're notallowed that.
Yeah, I just think that's sucha disservice.
Speaker 1 (07:17):
I have to really rethink that teachers have to
learn to teach using AI tools.
That's a but.
Back to the point of themarketing thing.
I was a marketer for 20something years, but it's
forcing me to become a differenttype of marketer.
It's the same thing that'shappened with educators.
It's not unfortunate.
Actually, it is the naturalgrowth of society and everything
(07:40):
that's happening.
Change is the only thing that'sconstant.
The hard part is that I reallybelieve that over the last few
decades we've been living in avery we don't have to change
much.
And so we became prettycomplacent with that.
I'm talking about myself.
I knew the internet.
I grew up with the internet,learning e-com, but that's kind
(08:02):
of actually a traditional thingnow.
Now it is ai driven productright discoverability, which is
a whole new thing.
I don't necessarily personally.
I'm excited to learn that mynegative side of myself, but my
enthusiastic entrepreneurialside of myself, like I'm gonna
go learn this and win sure.
So it's really about mentality.
(08:23):
Same thing about teaching.
It's the same thing aboutengineering same, it's the same
thing about engineering.
It's the same thing aboutarchitecture right, who's
embracing the new tools?
That's the opportunity.
That's where you can have agroup of 10 people all doing the
same trade, same businesses,but one of the 10 says I'm going
to embrace this and I'm goingto start using it.
That's where the change happens.
(08:44):
Now you've got the one that's,all of a sudden, is winning,
right, is winning, and that'sthe unfortunate part is the
other nine decide not to do it.
Now I do see that there's thosefast followers, right, y'all
know that paradigm.
I think y'all actually showedme that you have people that are
early adopters, fast followers,that thing.
(09:05):
They don't always win, theearly adopters, no, they don't.
The fast followers win a lot oftimes.
I mean, mass Fast followers iswhere the action is usually.
So it'll be interesting, Ithink, to see over the next
couple of years the mass fastfollowers that come in.
Speaker 4 (09:17):
I'll tell you what I've come my way with this
discussion.
I mean, I think it's reallypivotal, though, the whole idea
of how you break down thecomponents or the pieces of the
problem you're trying to solve,as opposed to just saying solve
the problem, that's right.
That's a very useful constructto me.
Okay, well, that completelychanges, yeah.
It really does.
But the second conclusion I'vecome to is I need to start an AI
(09:41):
consulting firm.
Speaker 3 (09:43):
I need a couple of these dudes that are smart.
Speaker 4 (09:45):
I'll go out there and hawk their time at ridiculous
billing rates and go baby, thatis the opportunity that is, it
really is legitimately is andyeah, because there's so many
problems you can solve.
I mean, it's just like you'llnever run out of stuff that work
on here's what I love.
Speaker 1 (10:03):
This mark is known, yeah, internationally as a aep
consultant expert.
You could start, you could, youcould invest in ai people that
are that are prompt and takethat business, that consultancy,
(10:23):
to another level.
Speaker 4 (10:24):
Zwei Group already does it.
They've got people that arefocused on this industry.
Speaker 1 (10:30):
That's a good thing, and they're building that
capability.
Speaker 4 (10:32):
Yeah, I mean, they do need it.
Speaker 1 (10:34):
I mean it's clear and you can keep getting deeper and
deeper with it and all thesedifferent find those niches.
I mean it's beautiful.
Speaker 4 (10:40):
It really is.
I mean, it just seems like theland of opportunity we live in
today.
Speaker 1 (10:44):
It really is.
Doesn't it, it really is.
Speaker 4 (10:47):
It's so fertile.
Speaker 1 (10:48):
It's like denying an assembly line because that's
just not the right way to do it,but that changes the entire
world.
Speaker 2 (10:54):
And if you want a quick glance of just how fertile
it is, look at the totalpackages Meta is paying to get
their ai engineers from open aiand google the amount that
zuckerberg is willing to pay tohave the best talent shows you
(11:16):
right there 100 million dollarbonuses, yeah, to get an ai
engineer absolutely absurd.
Speaker 1 (11:19):
Excellent, ai engineer, right, like I mean,
it's like pro sports it is.
It's when you, it's when yousee a lot of these entrepreneurs
.
I think we all respect fortheir entrepreneurial efforts,
doesn't?
You know all kinds of differentother things, not to maybe
personal opinions, but theamount of money that they are
investing as entrepreneurs intothis space is absolutely has not
(11:42):
ever been seen before in theeconomy period.
Speaker 2 (11:46):
It's so much money it's like you're betting that
money won't really be importantin the future.
Speaker 1 (11:52):
They are betting that it is true.
Speaker 4 (11:56):
But as a business owner over the years who's hired
, let's say, people to developsoftware, for me it's a black
hole, like we never know as muchas they know.
Okay, my brother you know, johnwas the WPP.
There was $17 billion, likethese freaking, you know
consultants.
They tell you it's going to besix months and then it's going
(12:18):
to be another six months andit's just a black hole.
I guess I feel like it could bethe same way with AI except the
difference is that AI is goingto give you a product real fast.
Speaker 3 (12:28):
It just may not be a good one, right?
You know what I mean.
Speaker 4 (12:32):
So it's a little bit, I guess.
It seems like it's also anopportunity to just spend a
tremendous amount of money andget nothing for it.
I don't know, maybe theseinvestments, you know, as you
say, these guys.
Speaker 1 (12:46):
But I think, if it comes, pouring their money into
it.
Speaker 4 (12:49):
The real entrepreneurs know what they're
doing so.
Speaker 1 (12:52):
I'm going to talk about something real quick.
I'd like to make sure folks arereally clear there is a
difference between largelanguage model companies versus
practicalities in small business.
There's an ocean gap between it.
It took me a while to kind ofsee this right.
(13:12):
You might use chat GPT as an LLMto ask questions, but that
doesn't mean that's how youapply it to your business.
There's much more granularthings that go on with that, and
there's also, I've heard fearsof like the LLMs take care of
everything and it's all thisagentic business and you can't
(13:33):
even compete anymore.
I don't believe in that at all,because these LLMs are at such
a high level.
Speaker 3 (13:40):
It's kind of like saying the President of the.
Speaker 1 (13:42):
United States is going to come in and run every
municipality across the countryand there's no need for
municipality, you know citygovernment.
Yeah, there's no need formunicipal government anymore.
It's just not reality, it can'tnecessarily be done.
So I mean, can you explain alittle bit about, like, a small
business owner that canunderstand that difference a
(14:03):
little bit In 90 seconds?
Because we're running out oftime, yeah, I think we're just
going to have to make this atwo-episode.
I mean, I think it's got enoughcontent.
Yeah, let's keep going, we'regoing to run.
Speaker 2 (14:13):
Yeah, this is a lot.
Speaker 1 (14:15):
It is.
Speaker 2 (14:15):
Yeah, go ahead, though.
I mean, I'm trying tounderstand the question.
So, like the difference betweenLLM and like individual, like
agents within a small businessthat are performing tasks, there
you go, yeah, so could youplease say at what llm is again
for our listeners?
yeah, so llm is a large languagemodel.
Okay, so these are chat, gpt,gemini, clod got it and these
(14:41):
are those they call themfoundational models that are
trained to use natural languageand it's question and response
right, and that's what an LLM is, and I think the easiest way to
describe like the differencebetween an LLM and when you
throw around an AI agent is justlike a travel agent versus a
(15:02):
Google search.
So an LLM I could ask where,could ask what's a good travel
destination this summer?
It's a question and it gives mea list of it gives me a
response, a list of destinations.
An agent has access to toolswhich are actually able to
perform actions like a travelagent.
Speaker 4 (15:24):
So it would actually book my travel or whatever.
Speaker 2 (15:26):
maybe it would determine it would receive my
query, it would determine whatit needs to do in order to
perform what I want, and then itwould go out and do it.
So it's like okay, they want totravel this summer, they want
to.
It might respond and be like,well, do you want somewhere warm
or cold?
Yeah, sure.
Speaker 4 (15:44):
It might prompt more, because it needs more
information.
Speaker 2 (15:45):
You want it in the US , or do you want somewhere warm
or cold?
Yeah, sure it might prompt morebecause it needs more
information.
And then you want it in the us,or do you want to go out?
Speaker 4 (15:49):
right.
Are you willing to go gathers?
Speaker 2 (15:51):
information and then it goes.
It's connected to a tool thatcan book your airbnb.
It can book your flight, it canbook your rental car.
It can then do some deepresearch onto restaurants and
then give you a list of um, youknow good Yelp review places,
and so it's like actually ableto perform and output a task for
(16:14):
you, and so that's where the AIagents gain so much value.
Speaker 4 (16:20):
Okay.
Well, look again.
I'm the small business owner.
I know about chat, gpt orwhatever.
I've experimented with it.
I've learned that I've got toask the right questions to get
anything out of it.
That means anything.
Where the heck do I find theseagents?
I don't know what these are.
I don't know what theseprograms are or where they are.
Speaker 1 (16:43):
That's where I think you enter in the same thing as
the development, websitedevelopment.
Speaker 3 (16:48):
You enter into the programming side.
Speaker 1 (16:51):
It's like anybody can go to a website and look at the
content and see the experienceand whatever.
They click around and getinformation.
That's your LLM.
But to build your actualwebsite you have to have
somebody that programs it.
That's where I think you'regoing to enter in these that's
the consultant.
That's it, yeah.
Speaker 4 (17:10):
And so I don't.
Speaker 1 (17:12):
that's the thing.
That's a big mystery block,because I think that that's
where a big sticking point is,the reason that there's you
don't know how to apply it orget engaged in it is because the
market of consultants orcompanies that can create these
agents is not very widely knownor does not have much existence
(17:33):
even locally, but that's what'sgoing to be happening is in
every nook and cranny, acrossevery little town in the world,
you're going to have thesepeople that are able to build
these flows and these agents.
Speaker 2 (17:46):
I mean it's already popping up on like Fiverr and
websites like that Right, whereyou could go like you would if
you needed a quick design builtup.
You don't need to hire someone,you can go to Fiverr, spend
some money.
They send you back something.
It's the same thing for aworkflow.
Speaker 3 (18:04):
Yeah.
Speaker 2 (18:04):
For AI.
Speaker 1 (18:06):
It's the same thing for a workflow for AI.
Which, to me, I think is areally big message for the small
business person is that you'renot necessarily responsible to
personally build this and youdon't have to learn every prompt
, every tool, because that's awhole other thing.
We're not going to jump on thatin a second, but all the
(18:27):
information, all the news that'scoming out with AI.
You don't necessarily need tobe the person that has to know
that, but you do need to startlooking for resources to help
you.
Speaker 2 (18:37):
Yeah, absolutely.
Speaker 1 (18:38):
To engineer parts of your business that are taking up
time or that you're hittingbottlenecks on, like, basically,
what are the problems in yourbusiness that you need to
overcome, just as a businessowner, and you should start
thinking is this something I canautomate?
And, if so, go to Fiverr, go toPlace and start researching and
(18:59):
finding people to help you withthat deal, because it's just
like a web.
I love the web programmingthing because it's the same
scenario.
When websites first came out,it was a certain level of code,
but over the years we became andit was expensive.
Speaker 4 (19:17):
It was expensive, for sure.
Speaker 1 (19:19):
But the acceleration and the evolution of web and
experiences.
It was crazy as far as thespeed at which it happened.
And so it would just stack andstack and stack, and so to be
somebody that learns that andstays with those times like
that's a trade, you know that issomething you have to be really
(19:40):
ingrained in and learn andinvolved with it.
But me, as a business owner,like I'm either going to be a
web programmer or a businessowner- no, I can't be both Right
.
So that means I need to hire aweb programmer that is staying
with those times I'm here to sayis living through that and then
living through this.
Ai is.
Ai is a hundred X on theevolution that web was, and it
(20:01):
is virtually impossible to run abusiness and understand all the
new things that are happeningwith AI because literally every
single day there's hundreds ofnew stories, new innovations
coming out.
Speaker 4 (20:16):
Well, it can improve itself is the reason why I guess
its potential is virtuallyunlimited.
It doesn't take a human torefine it, it can refine itself.
Speaker 1 (20:27):
Well, it can.
But even like the new ideas,the new inventions of using AI
is just insane.
It's like, I mean, it's likeyou think that you're on to
something and then you turnaround the next day and
somebody's beating it out.
Even the LLMs are in that.
Yeah, sure, right, I mean it'sjust new tools popping up
everywhere.
Llms are in that.
Yeah, sure, right, I mean, it'sjust new tools popping up
everywhere.
So I think it just drives backmore emphasis that you rely on
(20:50):
the tradespeople that areengaged with the workflows,
building out agents, and thenyou're going to have these
niches of.
I need an agent built for mymarketing company in the space
of video, in the space of videoediting in the space of video in
the space of video editing.
(21:11):
In the space of video editingfor social media, in the space
of video editing for socialmedia for, specifically, tiktok.
Speaker 4 (21:17):
So they're going to get super, super specialized.
There you go.
Speaker 1 (21:20):
That's what you're saying, that's what has to
happen.
And you, as a business owner,need to know how to go find and
recruit and contractappropriately.
And then same principles comeback to the web programming.
How do you manage that person?
So just because I contractConnor to build a website for me
(21:40):
doesn't mean it's going to turnaround on time within scope.
Not deliverable, no, that'sright, he's going to have.
Well, I mean, maybe you, connor.
Thank you, yeah, you're welcome, but I need to hire you and
then I need to understand yourproject plan.
What are all the capabilities?
We write a scope, we write acontract and then I need to make
sure you're hitting thosetimelines on that budget and
(22:00):
that we're still pointing in theright direction.
I need to spend time with youin meetings to see where you're
at, make sure you're going theright direction, because it's
the same thing.
It's like the grains of sandthat it's impacting.
It's not just the beach anymore, it's every little particle of
sand on that that have apotential to be automated.
(22:22):
That's the challenge, do you?
Speaker 2 (22:25):
agree, yeah, I concur .
Speaker 4 (22:29):
Look, it's like any kind of consulting, though.
I mean, it's just, you know, ifyou started out like when there
were the first environmentalconsultants, that's what they
were.
But then over time it's likewe've got air problems, we've
got water quality problems,we've got lead gain problems,
we've got asbestos problems.
Now we've got a certain type ofasbestos problem in a certain
type of facility.
It's the same thing, right?
You start out with generalistsand then it narrows down.
Speaker 1 (22:54):
But what would you do as the business owner when
those things sort of I mean likeyou had a decision at some
point, right?
Speaker 4 (23:01):
You either have to narrow what you do as the are
you saying as the buyer of the?
Speaker 1 (23:07):
services.
Yeah, as the buyer of it, Ihave to seek out the experts.
Speaker 4 (23:11):
There you go, but even that it's never easy, right
?
It's like, let's say, you had abusiness.
You've got a business thatmakes bottles and you want to go
and you've been doing it for along time.
It does $40 million a year.
It makes glass bottles and youwant to go, and you've been
doing it for a long time.
It does $40 million a year.
It makes glass bottles.
I want to sell that company andI got to find a investment
(23:33):
banking firm that specializes inmanufacturing companies that do
glass products.
It's hard, I can't always findthose.
Or I want to find a PE firmthat buys manufacturing
companies that make glassproducts or products used in
beverage industry.
It's hard to find.
(23:57):
Hard to find and it's muchharder than you think.
So it's like again, I keepcoming back as the business
owner, I want to automate myfreaking call center prospecting
.
Where do I go?
I can Google it, I guess.
I don't know if these guys areany good or whether they really
know that or not.
At this stage I'm saying yeah.
Speaker 1 (24:16):
Development Over time .
Sure, I'll find them, andthat's the thing is.
Once you find them, then youhave another problem.
You hire them Right, are theyhire them?
Speaker 4 (24:28):
right.
Are they good or bad?
It's always devastating to butyou we've been through that as
business.
Speaker 1 (24:30):
We have been through a million times, a million
million problems and it'scounting system implementation.
Oh my god oh my god painfulyeah, I mean painful.
Speaker 4 (24:38):
It's like 80%, yeah, yeah oh, and then?
Speaker 1 (24:41):
you got chain?
Oh, I don't.
You know shouldn't useSalesforce, you should use
HubSpot, it's like oh my God,here we go.
Speaker 2 (24:48):
And it's so painful, but you've got to do it.
Soho, soho, soho.
Speaker 1 (24:54):
Pivot or pivotal?
Yeah, pivotal solutions,pivotal solutions.
But I mean it's the same thingover and again.
Right, it is, but as anentrepreneur, the damage, the
real mistake is saying Notjumping in.
It's not jumping in and it'snot understanding that this
(25:16):
industry is rising up.
That is a whole new thing, butyou can do things through AI
that you weren't able to dobefore.
It's just like it's not areplacement.
I don't think that people aregoing to be so off put like what
we're talking about, right it'san enhancement, it is an
addition.
Speaker 4 (25:36):
Is what you're saying ?
Speaker 1 (25:37):
yeah, yeah, it's an addition and things will fall
and fit in place, and andthere'll be, but, you know,
that's why, like a lot of times,I see some of the big LLM
leaders talk about this.
They go back and forth.
There will be job changes,significant changes, and that's
the reason why, though, is thatif you don't adopt, you will be
(25:59):
surpassed right by theAI-infused enabled processes.
Yeah, sure Right.
Speaker 4 (26:06):
But you still have aused enabled processes.
Speaker 1 (26:07):
Yeah, sure, right, but you still have a place in
all this, right?
Speaker 4 (26:11):
Yet this has really come in clear to me now, and I
hope so for our listeners.
Well, here's what you're sayingthough yeah, okay, we can go to
AI and we can give it a queryand have it solve our problem.
Right, May do a crap job of it.
We're probably going to dobetter if we map out the process
we want it to follow when we gothrough the steps as Josiah
(26:31):
laid out, right, okay, so thattakes some thinking right here,
and that even asking it how wewant it to complete those steps
takes some thinking in thequerying.
So we're not going to.
We are still needed.
I guess this is my point.
Speaker 3 (26:53):
Yes, we are still needed.
Speaker 4 (26:54):
We still need the intelligent human to go through
that part of the process becausewe can't trust it to make good
decisions.
No, right At all for us, rightas we were talking about.
Speaker 2 (27:08):
As we were talking about.
Speaker 4 (27:09):
Yeah, but if we break it down in these steps, it
builds up our confidence becausewe can do a quality check
basically at any step along theway and we understand what went
into it, just like the mathproblem.
Instead of I'm going to do aregression analysis, I punch the
numbers in on my computer andit spits out the correlation
(27:29):
coefficient or whatever.
It helps to understand whatgoes into that, because then we
know whether it makes any senseor not.
Speaker 1 (27:43):
And then, I think, the second part.
Just like in normalcircumstances, you got to manage
this thing.
Speaker 4 (27:47):
Yeah.
Speaker 1 (27:49):
Once you've built it, is it outputting?
By the way, is there somethingbetter?
Is there a better tool nowthat's even more refined and
more detailed and more-?
Speaker 4 (27:57):
Should we use it for another problem?
Is this not the right problemto solve with it?
That's right, yeah, I mean,there's all those.
It makes total sense, dr.
Speaker 1 (28:05):
And then you got to be able to fire one and hire a
different one, talking abouttools or consultants or whatever
.
Speaker 4 (28:12):
You got to move it right.
Speaker 3 (28:13):
Yeah.
Speaker 1 (28:14):
Dr.
And then, or is there somebodythat is an asbestos very
specific black mold person?
That's the best in the world,because you got to fix that
problem once and for all.
Yeah, dr Got to fix thatproblem once and for all, and
it's building teams of peoplethat can do these specialized
things.
And then you've got to make themothership all talk together
and come together.
Speaker 4 (28:32):
I'm overwhelmed.
No, I'm really gettingoverwhelmed.
Speaker 1 (28:36):
Like QuickBooks has been the accounting software,
but imagine a land where there'sa new, potentially better
QuickBooks.
It is business entrepreneurshipat its greatest core of
competitiveness.
Speaker 4 (28:49):
Oh, I can see this, it is absolute.
Speaker 1 (28:52):
The competitive arena on AI is at a proportion that's
never been experienced before,because they just continuously
compete and it's not just thesmall like we used to have,
where you had really smallbusinesses competing really hard
.
You had your mid-layerscompeting pretty well, but your
big guys would just own a marketright Like your Microsoft.
Speaker 4 (29:14):
Not the case now.
Well, there's no capitalrequirements to get into it
theoretically.
Speaker 1 (29:20):
Well, theoretically.
Speaker 4 (29:22):
Yeah, if you're an individual, I guess.
Speaker 1 (29:25):
Well, but then you do have the VC firms that are just
like punching money at you.
Speaker 4 (29:28):
Sure, because it's just they want to hire the best
talent and all that takes money.
And to market it to get theword out that you're there.
Speaker 1 (29:36):
And then there's new ideas like is really an LLM, a
chat GPT, really great?
For me, if I'm a photographer,probably not.
But this one that so-and-socame out with that built
together some money and theybuilt a product that specialized
for photography.
Speaker 4 (29:51):
Yeah, it seems sort of like what I'm hearing.
You guys say You've got thevertical industry market.
That's one thing, but then youhave sort of the discipline
within it.
Like you said, photography,document search, yada, yada,
yada.
They're like that's a matrixDocument search for a law firm
Connection the best in the world, yeah, that's my opportunity
(30:15):
spot.
It's fascinating, and then youcan go even deeper, like let's
take it a little.
Speaker 1 (30:22):
Maybe I found the best document AI tool that's on
the market.
But to Josiah's point, then Itake that I find a document,
that same document toolspecialist consulting agent
builder on Fiverr, I bring themin.
I'm like, hey, I want you touse this tool, I want you to
(30:44):
build me a flow, but using mydata that I have in my firm for
my clientele.
Cause nobody else has that I'mgoing to keep it in my black box
.
Speaker 4 (30:54):
Oh yeah, okay.
Well, now you're really at thepeak of opportunity.
Speaker 3 (30:59):
Ready to level up your show?
At podcastvideoscom, we offerindustry leading recording and
expert marketing to help yourshow reach more listeners, from
creation to distribution.
We've got you.
That's what's happening, morrisSure.
Speaker 1 (31:15):
That's what's going on, yeah, and I think that the
best here's the thing is like.
The reality in my perspectiveis that there's been no greater
opportunity in the world for anentrepreneur than is going on
right now Ever yeah.
Speaker 4 (31:27):
I hear you.
I mean, I can see it'svirtually unlimited.
It's unlimited, yeah, I think.
The problem, though, if you goback to small firms and
entrepreneurial ventures and allis their data is not that well
organized.
Speaker 2 (31:41):
It is yeah.
Speaker 4 (31:42):
And maybe AI can harvest it and organize it.
But you know, there's like allthis data.
I mean, you know like ZweiGroup.
I mean, it's a 37-year-oldcompany on July 13th.
They've got so much informationit would blow your freaking
mind, but there have beenchanges in ownership, there have
(32:02):
been changes in applications.
There have been all thesethings over the years where the
data is not as Some of it'suseful.
Yeah, some of the stuff ishighly organized and very useful
, like they do research on theindustry.
Speaker 1 (32:18):
But it's like opening up a treasure chest and you've
got a bunch of crap in there,but there are some really good
diamonds in there, yeah likebuying storage units out of a
treasure chest.
Speaker 5 (32:25):
Yeah that's exactly it Like rummaging through
plastic toys.
Speaker 4 (32:29):
I'm like, oh my gosh, you know, rare coin collection.
Speaker 1 (32:33):
Is there a tool that out there that can help mine
that relevant?
I mean like do you see toolslike that For?
Speaker 2 (32:38):
like data cleanup and organization and structure.
Yeah, I mean that's huge,because what you know typical
programming like is what I wouldteach my GT students when we
were coding and doing roboticsis computers are stupid, right,
they can only read the code.
They can't make inferences,they can't, you know, make
(33:02):
judgments, but all of a suddenAI can.
And AI is looking at semantics.
They're not just looking atthis.
That's why we need him Right.
It's not just looking at astring and so you could have a
bundle of data that isstructured and organized
differently, that has differentlabels and the metadata doesn't
(33:22):
match up.
But if you have a structuredresponse that you or a
structured response that you ora structured output that you
want to all of your data to looklike this, then AI can start to
funnel and begin.
Speaker 4 (33:35):
Yeah, now I'm back to your approach.
Find the company associatedwith each one of these names in
my database, yeah, okay, okay,now I got that out of the way.
Now find the location of thepeople in that company for each
of the names in my database, andI'm building this funnel.
You know what I'm sayingCompany location, person.
(33:56):
Remember how Pivotal Solutionswas?
Speaker 3 (33:58):
organized.
Speaker 4 (33:58):
Yeah, dude, now I can look at the relationship I have
with the entire company insteadof just with Joe Blow.
Speaker 1 (34:05):
And with the company with 37 years, all those emails
like, get into the emails of theold inboxes that were blah,
blah, blah and start tyingtogether.
Speaker 4 (34:13):
This is just fascinating.
Speaker 1 (34:15):
Are there consultants and companies out there that
could probably specialize ininternal data?
Speaker 2 (34:21):
mining.
Speaker 1 (34:22):
That's a whole industry right there Well.
Speaker 4 (34:24):
I've always said like Outlook, let's just go mine
everybody's Outlook contacts.
I don't know how to do that,but I do know that there's a lot
of valuable information inthose where they weren't put in
a CRM, because it's a hell of alot easier.
Here.
Somebody calls me Bob Johnson,boom, I'm done.
I don't need to go back and loginto Zoho and freaking figure
(34:45):
out any of that.
I'm not even on my desktop ever, or on my phone application at
Zoho.
Yeah so that's such a great.
Speaker 2 (34:55):
Yeah, ai could do that for me?
Speaker 4 (34:58):
I would assume yes, yeah, would you guys do that?
Speaker 2 (35:02):
Yes, right now.
Right now.
Speaker 1 (35:04):
They can do it in five minutes.
Speaker 4 (35:05):
Now listen this is a really great use of AI that
anybody could use.
Go build yourself a really goodcustomer and prospect list
harvesting your names out ofyour email.
Yeah, Okay.
Speaker 1 (35:21):
That could be a really great first step it is,
and go find that person that canhelp you do that.
Like I wouldn't try to here's.
I think this is where therubber meets the road.
If you're listening to this, Iwould not recommend you as a
business owner trying to go findthe right tool, the right
product, and then you startdoing it and now you're in tech
(35:42):
land trying to figure out thebest way and then how to output
it correctly and all this stuff.
But you can go and research andfind the job, the description,
the responsibilities you want.
Find that consultant that cando this for you.
Talk to that person, interviewmultiple of them.
Who's the best one?
Who's got the rightcybersecurity protocol, all the
(36:04):
legalities and the things thatyou've got to be cautious of.
Speaker 4 (36:07):
Yeah, our data is very valuable.
We don't want to be stealing.
Speaker 1 (36:09):
that I certainly don't want to be put in chat.
Gpd yeah.
Speaker 4 (36:13):
I'm going to think about sending it to some dude in
freaking Pakistan.
That's right, I found out onwhatever too.
Speaker 1 (36:21):
Yeah, like you don't want to.
Particularly, those arebusiness thinking strategies.
It's just like every otherbusiness decision.
You make All these differentparameters, the legalities, the
ethical standards, the brandthat you're trying to promote,
your target audience, all thesethings and then you find that
person, you interview them, thenyou hire them to do the
(36:44):
specific task.
Speaker 2 (36:45):
Yeah, yeah.
Speaker 4 (36:47):
Wow, my head's exploded, although I do feel
like I have a much, much betterunderstanding of this Good yeah
Today.
Thank you, because I think I'mtypical of a lot of people that
are listening.
In that regard, I agree,meaning we're largely ignorant.
Maybe we've had our chat GPTexperiments for the fun of it,
(37:08):
but you know we're not.
Speaker 1 (37:10):
But it's hard to apply that chat GPT experience
to.
Okay, I'm a business owner.
I keep hearing if I don't adoptAI I'm going to be screwed.
What the hell does it mean?
So I turn a cheat because I'mtoo damn busy to be researching
AI.
And the good news out of thispodcast and this discussion is I
don't think you necessarilyhave to be researching AI.
And the good news out of thispodcast and this discussion is.
(37:32):
I don't think you necessarilyhave to be good at that.
You just need to understandthat there are people that are
really good at it and it's justlike any other job, position or
contract that you need to go.
You need to go find thosepeople that are doing that and
understand how this applies toyour business.
Speaker 4 (37:44):
My God, I want an AI consulting business.
Yeah, it's so unlimited whatyou could do.
Speaker 1 (37:54):
But there's so much that you could do a lot of great
businesses by your experiencein life, Mark.
Speaker 4 (38:00):
This is fantastic.
Speaker 1 (38:01):
Like a marriage AI.
Speaker 4 (38:03):
Yeah, thanks, okay.
Speaker 2 (38:07):
You have a lot of experience in that.
Speaker 4 (38:09):
I do yeah.
Speaker 1 (38:10):
In the short time Connor's gotten to know you, he
knows that your experience inmarriage is.
Speaker 4 (38:16):
Yeah, I know it's like what I think.
I've been married 37 years.
Speaker 1 (38:20):
Yeah, three times.
Speaker 4 (38:23):
Yeah, but anyway, that's experience.
Speaker 1 (38:27):
Yeah, that's something that Connor would love
to subscribe to youre-newsletter about that, like
what not to do?
Yeah, red flags, we bothlearned a lot, yeah.
Oh, wait a minute, I'm not partof this, okay, anyway no.
Speaker 4 (38:41):
So this has been a really great conversation and I
think it's very useful to ourlisteners.
I appreciate you guys allowingus to bring you in the lobby
today and be our victim, subjectyourself to this.
Yeah, eric, I come in.
You got two smart guys and AIfury, so it's great.
Speaker 1 (39:02):
Eric Leach.
Yeah, it's exciting it's reallycool.
It's a cool environment.
I mean, it's really it.
It's definitely energizing on adaily basis.
Speaker 4 (39:10):
Yeah, if you want to keep yourself feeling like
there's unlimited opportunitiesin your business, start looking
at some of this stuff.
Yeah, that's all I can say.
Yeah.
Speaker 1 (39:19):
You know I'll end it with this.
As a business owner and anentrepreneur as a human being
period Period, it with this, asa business owner and
entrepreneur as a human beingperiod period, you have the full
power, control and ability tohave your perspective and your
thoughts.
You have control over yourthoughts and your time, two of
the things you can control.
Sure, you can look at thiswhole thing.
(39:42):
You can still make the time,you can pause it, you can
postpone it or you can jump inimmediately.
That's taking actions and youhave control over that.
And then you have the abilityto see this as decimating or
absolutely opportunistic andinvigorating.
It's your choice.
Speaker 4 (39:59):
Yeah well, you and I are never gonna see it as
decimating Right?
No, we won't.
That's our I mean if our trueentrepreneurs never, gonna this,
it's like oh, it's a threat.
Yeah, okay.
Speaker 1 (40:10):
I mean that never even occurs to me, True?
But I think that you know you.
Speaker 4 (40:16):
But you're right, an individual does make that choice
.
Speaker 1 (40:20):
And you have to make that choice.
And I think that you have tomake that choice on a regular
basis because, like, you canread the news, you can read the
negativity, you can watch thesocial, you can feel this
intimidation, this fear factor.
Let that overwhelm you, or youchoose to see the good out of it
, the cups overflowing, you know, and I'm taking action today
(40:40):
and not wait, notprocrastinating, wait until
tomorrow.
Speaker 4 (40:42):
I don't know when he became so philosophical.
Speaker 3 (40:46):
You know, I never should have let you out of my
clutches.
Speaker 4 (40:51):
I'm sorry, I really am.
I am sorry.
Speaker 1 (40:56):
I wish you would have never let me out of your
clutches either.
Speaker 4 (40:59):
You are so philosophical, yeah, but you're
absolutely right.
I think that's a good point forour listeners.
Speaker 1 (41:06):
Yeah, go big, yeah, but you're absolutely right.
Speaker 4 (41:09):
I think that's a good point for our listeners.
Yeah, yeah, go big.
Yeah, you see the opportunity.
Is it glass half full or is theglass half empty?
Again, when it relates to AI,is this a big threat to you or
is this like your gateway tovirtually unlimited success and
possibility?
It is.
Speaker 1 (41:23):
And when you're in the negative realm, it sucks you
down.
You'll reinforce it.
As you said Exactly, it justsucks you into it.
Speaker 4 (41:29):
Yeah, you will seek out all information that
reinforces your position.
Speaker 1 (41:31):
Light versus dark, good versus evil.
It's the same principle Suck inor blow out.
I'm going toward the light.
Speaker 5 (41:40):
That's it.
Speaker 1 (41:41):
Go into the light.
It's your choice and you havepower over it.
All right, good show, thank you, hey you guys got to end it
with this.
Okay, this has been another.
What was it?
Were you going to say something?
Speaker 2 (41:55):
No, I said yeah, help us.
Speaker 1 (41:57):
Okay, this has been another episode of Big.
Speaker 5 (42:01):
Talk about Small.
Speaker 2 (42:04):
Business.
Speaker 5 (42:12):
Thanks for tuning into this episode of Big Talk
About Small Business.
If you have any questions orideas for upcoming shows, be
sure to head over to our website,
wwwbigtalkaboutsmallbusinesscomand click on the Ask the Host
button for the chance to haveyour questions answered on the
show.
Stay connected with us onLinkedIn at Big Talk About Small
(42:33):
Business and be sure to headover to our website to read
articles, browse episodes andask questions about upcoming
shows.
But if you took a math teacher that absolutely
would not allow calculators orthey're still students that use
calculators, they would be doinga disservice to the students.
Speaker 3 (00:09):
Yeah 100% because everyone else in society is
using calculators.
Speaker 1 (00:13):
Yeah, but if you have a teacher that, like you said,
teaches the core fundamentals,then teaches how to use the
calculator, the right ways touse a calculator, when to use it
now they're learning plus usingtools.
I think that that is theresponsibility and burden of the
new teacher is to look at AI asa new calculator.
The difference is, though, isthat the calculator really only
(00:35):
impacted math or engineering anda lot of the math related
subjects, Whereas AI isimpacting every single subject
that's ever existed on planetearth right now.
Speaker 4 (00:53):
I did have a student this last semester and I'm sure
AI was used.
I had him write a paper aboutan entrepreneur who had done a
turnaround.
Okay, that was the assignmentand I get this thing back.
And you got to have at leastthree sources of information.
I get this thing back.
I'm reading about it Now.
I don't normally go to thesources, but it's something
about it seemed odd to me.
I go to the sources First, IGoogle the guy Can't find him
(01:14):
associated with this company.
Then I look at the sources.
None of the sources existed.
Now how do you?
I mean, I would bet you anyamount of money that that came
out of AI.
Speaker 2 (01:26):
Oh yeah, 100%.
You know that just happened inour government.
Speaker 4 (01:31):
Yeah Well, they've seen it with like law cases and
stuff where they cite stuff thatdoesn't even exist.
How can I trust this thing?
How does a business owner buildup trust?
Let's say we just had to do theproduct comparison and it gives
me all this data back aboutpricing and quality and
(01:51):
components that go into this orwhatever, and it's all bs.
How do I know?
Speaker 2 (01:57):
I could talk about this for another hour, but, yeah
, I get, I get excited aboutjust.
You know, in a perfect world,you know it's a tool Like it
might be oversimplified, butit's like a math teacher and a
calculator, like you teach thestudents first the underlying
principles and then you teachthem how to use a calculator,
(02:18):
and then, with a calculator,they're capable of math problems
way beyond what they could doon pencil and paper.
And I see the same thing withAI tools in writing.
But it has to be done the rightway.
Speaker 4 (02:33):
So it has to be done by somebody who knows how to
write.
Yeah.
Speaker 2 (02:35):
I guess that's what you're saying.
It needs to be done the rightway and follow the right flow,
because it's just like in anyresearch paper if you start with
what I want to write about andthen I'm only going to look for
articles that support me.
If you do that, ai is going todo that and if it can't find an
article to cite, it makes it up,because it was told you must
(02:58):
have 15 citations.
I only find seven.
Here's eight more that soundright Could be, but if you flip
it and actually follow the kindof a good research plan is, I'm
going to start with the researchRight.
Speaker 4 (03:14):
Yeah, what do you have on this topic, right?
So let's go to.
Speaker 2 (03:17):
AI and do a deep research query.
Speaker 4 (03:19):
Very good point yeah.
Speaker 2 (03:21):
And then, okay, I've found all of these articles, Now
I might use AI to summarizeeach one, and then I might use
AI to help me workshop anoutline.
And I'm still following thewhole writing process.
I'm just using AI to make itfaster and more efficient.
And then I actually startwriting, and then maybe I use AI
(03:41):
to act as a professor,professor proofreading and
scoring me and grading me, andso I've already had a first line
of defense before I go to theprofessor.
Speaker 3 (03:51):
Yes.
Speaker 2 (03:52):
So they're like but that's in a perfect world and
that's if.
I had utmost control overeverything my students would do,
which obviously doesn't exist,and people are lazy.
Speaker 1 (04:04):
I love this calculator example.
All this stuff that's happening.
It's not anything we haven'tbeen through before in humanity.
But if you took a math teacherthat absolutely would not allow
calculators, or there's stillstudents that use calculators,
they would be doing a disserviceto the students.
Speaker 3 (04:22):
Yeah 100%, because everyone else in society is
using calculators?
Speaker 2 (04:25):
Sure, yeah.
Speaker 1 (04:28):
But if you have a teacher that, like you said,
teaches the core fundamentals,then teaches how to use the
calculator, the right ways touse a calculator, when to use it
now they're learning plus usingtools.
I think that that is theresponsibility and burden of the
new teacher is to look at AI asa new calculator, yeah.
The difference is, though, isthat the calculator really only
(04:51):
impacted math or engineering anda lot of the math-related
subjects, whereas AI isimpacting every single subject
that's ever existed on planetEarth right now.
Speaker 2 (04:56):
Right, right, yes.
Speaker 1 (04:59):
Now every teacher has to learn how to use a type of
calculator within their teachingcredential.
Speaker 4 (05:04):
Yeah, and I think, or every business owner has to
understand the process thatunderlies all this.
That's right thing.
Whatever they're trying to do,that's right.
Right they have to.
Speaker 1 (05:15):
They absolutely have to, and so, like I think the
challenge to you, mark, right,as a professor, is how do you
start like?
And there's going to betrendsetters, right, like there
were when the calculator cameout.
There's a lot of people thatresisted that probably the
majority of them but there'sones that started using the
thing and helping their studentsgraduate.
That's proper, right.
It's like my daughter, 17, myyoungest daughter.
(05:38):
They don't let her use AI inschool, but I'm thinking that's
not good.
She's going to yeah, that'swhat, exactly where I was going.
Speaker 4 (05:46):
It's not good yeah, you're not teaching her to use a
tool that's available to her.
That could.
Speaker 1 (05:50):
Right, yeah, that's making all the difference in the
world.
But I got her on perplexity.
You know I love perplexity.
I'm a big perplexity fan.
Speaker 2 (05:58):
I don't know anything about it.
Speaker 1 (06:00):
It's an awesome tool, right AI search.
Ai search, it's basicallybringing together the internet
search with AI, whereas theother ones don't do that.
I think you would be… Google onsteroids.
Well, yeah, I think the bigdifference would be back to the
sourcing example.
Perplexity would not give youfake resources because it cannot
(06:21):
, because it has to getresources from the web but
anyway, it was amazing to seeher starting to use that and
prompting that, but I feel likethat just empowered her now to
be even more—.
Dr Darrell Bock, do a betterjob, dr Darrell Bock.
To do even a better job, drDarrell.
Speaker 4 (06:39):
Bock, yeah, I got it.
We don't all have a Josiah,though, dr Darrell.
Speaker 3 (06:45):
Bock no, we don't.
We don't.
You know what I mean.
Speaker 4 (06:46):
I don't think we need to, or a Connor that
understands this stuff and themisinformation scares the heck
out of me.
Speaker 2 (06:56):
The times I've talked with teachers.
I did a few workshops inSpringdale, at Haas Hall in
Fayetteville.
You know teachers are rightlyso very concerned about cheating
and stuff like that and so oneplan is just like okay, not, not
use it at all, you're notallowed that.
Yeah, I just think that's sucha disservice.
Speaker 1 (07:17):
I have to really rethink that teachers have to
learn to teach using AI tools.
That's a but.
Back to the point of themarketing thing.
I was a marketer for 20something years, but it's
forcing me to become a differenttype of marketer.
It's the same thing that'shappened with educators.
It's not unfortunate.
Actually, it is the naturalgrowth of society and everything
(07:40):
that's happening.
Change is the only thing that'sconstant.
The hard part is that I reallybelieve that over the last few
decades we've been living in avery we don't have to change
much.
And so we became prettycomplacent with that.
I'm talking about myself.
I knew the internet.
I grew up with the internet,learning e-com, but that's kind
(08:02):
of actually a traditional thingnow.
Now it is ai driven productright discoverability, which is
a whole new thing.
I don't necessarily personally.
I'm excited to learn that mynegative side of myself, but my
enthusiastic entrepreneurialside of myself, like I'm gonna
go learn this and win sure.
So it's really about mentality.
(08:23):
Same thing about teaching.
It's the same thing aboutengineering same, it's the same
thing about engineering.
It's the same thing aboutarchitecture right, who's
embracing the new tools?
That's the opportunity.
That's where you can have agroup of 10 people all doing the
same trade, same businesses,but one of the 10 says I'm going
to embrace this and I'm goingto start using it.
That's where the change happens.
(08:44):
Now you've got the one that's,all of a sudden, is winning,
right, is winning, and that'sthe unfortunate part is the
other nine decide not to do it.
Now I do see that there's thosefast followers, right, y'all
know that paradigm.
I think y'all actually showedme that you have people that are
early adopters, fast followers,that thing.
(09:05):
They don't always win, theearly adopters, no, they don't.
The fast followers win a lot oftimes.
I mean, mass Fast followers iswhere the action is usually.
So it'll be interesting, Ithink, to see over the next
couple of years the mass fastfollowers that come in.
Speaker 4 (09:17):
I'll tell you what I've come my way with this
discussion.
I mean, I think it's reallypivotal, though, the whole idea
of how you break down thecomponents or the pieces of the
problem you're trying to solve,as opposed to just saying solve
the problem, that's right.
That's a very useful constructto me.
Okay, well, that completelychanges, yeah.
It really does.
But the second conclusion I'vecome to is I need to start an AI
(09:41):
consulting firm.
Speaker 3 (09:43):
I need a couple of these dudes that are smart.
Speaker 4 (09:45):
I'll go out there and hawk their time at ridiculous
billing rates and go baby, thatis the opportunity that is, it
really is legitimately is andyeah, because there's so many
problems you can solve.
I mean, it's just like you'llnever run out of stuff that work
on here's what I love.
Speaker 1 (10:03):
This mark is known, yeah, internationally as a aep
consultant expert.
You could start, you could, youcould invest in ai people that
are that are prompt and takethat business, that consultancy,
(10:23):
to another level.
Speaker 4 (10:24):
Zwei Group already does it.
They've got people that arefocused on this industry.
Speaker 1 (10:30):
That's a good thing, and they're building that
capability.
Speaker 4 (10:32):
Yeah, I mean, they do need it.
Speaker 1 (10:34):
I mean it's clear and you can keep getting deeper and
deeper with it and all thesedifferent find those niches.
I mean it's beautiful.
Speaker 4 (10:40):
It really is.
I mean, it just seems like theland of opportunity we live in
today.
Speaker 1 (10:44):
It really is.
Doesn't it, it really is.
Speaker 4 (10:47):
It's so fertile.
Speaker 1 (10:48):
It's like denying an assembly line because that's
just not the right way to do it,but that changes the entire
world.
Speaker 2 (10:54):
And if you want a quick glance of just how fertile
it is, look at the totalpackages Meta is paying to get
their ai engineers from open aiand google the amount that
zuckerberg is willing to pay tohave the best talent shows you
(11:16):
right there 100 million dollarbonuses, yeah, to get an ai
engineer absolutely absurd.
Speaker 1 (11:19):
Excellent, ai engineer, right, like I mean,
it's like pro sports it is.
It's when you, it's when yousee a lot of these entrepreneurs
.
I think we all respect fortheir entrepreneurial efforts,
doesn't?
You know all kinds of differentother things, not to maybe
personal opinions, but theamount of money that they are
investing as entrepreneurs intothis space is absolutely has not
(11:42):
ever been seen before in theeconomy period.
Speaker 2 (11:46):
It's so much money it's like you're betting that
money won't really be importantin the future.
Speaker 1 (11:52):
They are betting that it is true.
Speaker 4 (11:56):
But as a business owner over the years who's hired
, let's say, people to developsoftware, for me it's a black
hole, like we never know as muchas they know.
Okay, my brother you know, johnwas the WPP.
There was $17 billion, likethese freaking, you know
consultants.
They tell you it's going to besix months and then it's going
(12:18):
to be another six months andit's just a black hole.
I guess I feel like it could bethe same way with AI except the
difference is that AI is goingto give you a product real fast.
Speaker 3 (12:28):
It just may not be a good one, right?
You know what I mean.
Speaker 4 (12:32):
So it's a little bit, I guess.
It seems like it's also anopportunity to just spend a
tremendous amount of money andget nothing for it.
I don't know, maybe theseinvestments, you know, as you
say, these guys.
Speaker 1 (12:46):
But I think, if it comes, pouring their money into
it.
Speaker 4 (12:49):
The real entrepreneurs know what they're
doing so.
Speaker 1 (12:52):
I'm going to talk about something real quick.
I'd like to make sure folks arereally clear there is a
difference between largelanguage model companies versus
practicalities in small business.
There's an ocean gap between it.
It took me a while to kind ofsee this right.
(13:12):
You might use chat GPT as an LLMto ask questions, but that
doesn't mean that's how youapply it to your business.
There's much more granularthings that go on with that, and
there's also, I've heard fearsof like the LLMs take care of
everything and it's all thisagentic business and you can't
(13:33):
even compete anymore.
I don't believe in that at all,because these LLMs are at such
a high level.
Speaker 3 (13:40):
It's kind of like saying the President of the.
Speaker 1 (13:42):
United States is going to come in and run every
municipality across the countryand there's no need for
municipality, you know citygovernment.
Yeah, there's no need formunicipal government anymore.
It's just not reality, it can'tnecessarily be done.
So I mean, can you explain alittle bit about, like, a small
business owner that canunderstand that difference a
(14:03):
little bit In 90 seconds?
Because we're running out oftime, yeah, I think we're just
going to have to make this atwo-episode.
I mean, I think it's got enoughcontent.
Yeah, let's keep going, we'regoing to run.
Speaker 2 (14:13):
Yeah, this is a lot.
Speaker 1 (14:15):
It is.
Speaker 2 (14:15):
Yeah, go ahead, though.
I mean, I'm trying tounderstand the question.
So, like the difference betweenLLM and like individual, like
agents within a small businessthat are performing tasks, there
you go, yeah, so could youplease say at what llm is again
for our listeners?
yeah, so llm is a large languagemodel.
Okay, so these are chat, gpt,gemini, clod got it and these
(14:41):
are those they call themfoundational models that are
trained to use natural languageand it's question and response
right, and that's what an LLM is, and I think the easiest way to
describe like the differencebetween an LLM and when you
throw around an AI agent is justlike a travel agent versus a
(15:02):
Google search.
So an LLM I could ask where,could ask what's a good travel
destination this summer?
It's a question and it gives mea list of it gives me a
response, a list of destinations.
An agent has access to toolswhich are actually able to
perform actions like a travelagent.
Speaker 4 (15:24):
So it would actually book my travel or whatever.
Speaker 2 (15:26):
maybe it would determine it would receive my
query, it would determine whatit needs to do in order to
perform what I want, and then itwould go out and do it.
So it's like okay, they want totravel this summer, they want
to.
It might respond and be like,well, do you want somewhere warm
or cold?
Yeah, sure.
Speaker 4 (15:44):
It might prompt more, because it needs more
information.
Speaker 2 (15:45):
You want it in the US , or do you want somewhere warm
or cold?
Yeah, sure it might prompt morebecause it needs more
information.
And then you want it in the us,or do you want to go out?
Speaker 4 (15:49):
right.
Are you willing to go gathers?
Speaker 2 (15:51):
information and then it goes.
It's connected to a tool thatcan book your airbnb.
It can book your flight, it canbook your rental car.
It can then do some deepresearch onto restaurants and
then give you a list of um, youknow good Yelp review places,
and so it's like actually ableto perform and output a task for
(16:14):
you, and so that's where the AIagents gain so much value.
Speaker 4 (16:20):
Okay.
Well, look again.
I'm the small business owner.
I know about chat, gpt orwhatever.
I've experimented with it.
I've learned that I've got toask the right questions to get
anything out of it.
That means anything.
Where the heck do I find theseagents?
I don't know what these are.
I don't know what theseprograms are or where they are.
Speaker 1 (16:43):
That's where I think you enter in the same thing as
the development, websitedevelopment.
Speaker 3 (16:48):
You enter into the programming side.
Speaker 1 (16:51):
It's like anybody can go to a website and look at the
content and see the experienceand whatever.
They click around and getinformation.
That's your LLM.
But to build your actualwebsite you have to have
somebody that programs it.
That's where I think you'regoing to enter in these that's
the consultant.
That's it, yeah.
Speaker 4 (17:10):
And so I don't.
Speaker 1 (17:12):
that's the thing.
That's a big mystery block,because I think that that's
where a big sticking point is,the reason that there's you
don't know how to apply it orget engaged in it is because the
market of consultants orcompanies that can create these
agents is not very widely knownor does not have much existence
(17:33):
even locally, but that's what'sgoing to be happening is in
every nook and cranny, acrossevery little town in the world,
you're going to have thesepeople that are able to build
these flows and these agents.
Speaker 2 (17:46):
I mean it's already popping up on like Fiverr and
websites like that Right, whereyou could go like you would if
you needed a quick design builtup.
You don't need to hire someone,you can go to Fiverr, spend
some money.
They send you back something.
It's the same thing for aworkflow.
Speaker 3 (18:04):
Yeah.
Speaker 2 (18:04):
For AI.
Speaker 1 (18:06):
It's the same thing for a workflow for AI.
Which, to me, I think is areally big message for the small
business person is that you'renot necessarily responsible to
personally build this and youdon't have to learn every prompt
, every tool, because that's awhole other thing.
We're not going to jump on thatin a second, but all the
(18:27):
information, all the news that'scoming out with AI.
You don't necessarily need tobe the person that has to know
that, but you do need to startlooking for resources to help
you.
Speaker 2 (18:37):
Yeah, absolutely.
Speaker 1 (18:38):
To engineer parts of your business that are taking up
time or that you're hittingbottlenecks on, like, basically,
what are the problems in yourbusiness that you need to
overcome, just as a businessowner, and you should start
thinking is this something I canautomate?
And, if so, go to Fiverr, go toPlace and start researching and
(18:59):
finding people to help you withthat deal, because it's just
like a web.
I love the web programmingthing because it's the same
scenario.
When websites first came out,it was a certain level of code,
but over the years we became andit was expensive.
Speaker 4 (19:17):
It was expensive, for sure.
Speaker 1 (19:19):
But the acceleration and the evolution of web and
experiences.
It was crazy as far as thespeed at which it happened.
And so it would just stack andstack and stack, and so to be
somebody that learns that andstays with those times like
that's a trade, you know that issomething you have to be really
(19:40):
ingrained in and learn andinvolved with it.
But me, as a business owner,like I'm either going to be a
web programmer or a businessowner- no, I can't be both Right
.
So that means I need to hire aweb programmer that is staying
with those times I'm here to sayis living through that and then
living through this.
Ai is.
Ai is a hundred X on theevolution that web was, and it
(20:01):
is virtually impossible to run abusiness and understand all the
new things that are happeningwith AI because literally every
single day there's hundreds ofnew stories, new innovations
coming out.
Speaker 4 (20:16):
Well, it can improve itself is the reason why I guess
its potential is virtuallyunlimited.
It doesn't take a human torefine it, it can refine itself.
Speaker 1 (20:27):
Well, it can.
But even like the new ideas,the new inventions of using AI
is just insane.
It's like, I mean, it's likeyou think that you're on to
something and then you turnaround the next day and
somebody's beating it out.
Even the LLMs are in that.
Yeah, sure, right, I mean it'sjust new tools popping up
everywhere.
Llms are in that.
Yeah, sure, right, I mean, it'sjust new tools popping up
everywhere.
So I think it just drives backmore emphasis that you rely on
(20:50):
the tradespeople that areengaged with the workflows,
building out agents, and thenyou're going to have these
niches of.
I need an agent built for mymarketing company in the space
of video, in the space of videoediting in the space of video in
the space of video editing.
(21:11):
In the space of video editingfor social media, in the space
of video editing for socialmedia for, specifically, tiktok.
Speaker 4 (21:17):
So they're going to get super, super specialized.
There you go.
Speaker 1 (21:20):
That's what you're saying, that's what has to
happen.
And you, as a business owner,need to know how to go find and
recruit and contractappropriately.
And then same principles comeback to the web programming.
How do you manage that person?
So just because I contractConnor to build a website for me
(21:40):
doesn't mean it's going to turnaround on time within scope.
Not deliverable, no, that'sright, he's going to have.
Well, I mean, maybe you, connor.
Thank you, yeah, you're welcome, but I need to hire you and
then I need to understand yourproject plan.
What are all the capabilities?
We write a scope, we write acontract and then I need to make
sure you're hitting thosetimelines on that budget and
(22:00):
that we're still pointing in theright direction.
I need to spend time with youin meetings to see where you're
at, make sure you're going theright direction, because it's
the same thing.
It's like the grains of sandthat it's impacting.
It's not just the beach anymore, it's every little particle of
sand on that that have apotential to be automated.
(22:22):
That's the challenge, do you?
Speaker 2 (22:25):
agree, yeah, I concur .
Speaker 4 (22:29):
Look, it's like any kind of consulting, though.
I mean, it's just, you know, ifyou started out like when there
were the first environmentalconsultants, that's what they
were.
But then over time it's likewe've got air problems, we've
got water quality problems,we've got lead gain problems,
we've got asbestos problems.
Now we've got a certain type ofasbestos problem in a certain
type of facility.
It's the same thing, right?
You start out with generalistsand then it narrows down.
Speaker 1 (22:54):
But what would you do as the business owner when
those things sort of I mean likeyou had a decision at some
point, right?
Speaker 4 (23:01):
You either have to narrow what you do as the are
you saying as the buyer of the?
Speaker 1 (23:07):
services.
Yeah, as the buyer of it, Ihave to seek out the experts.
Speaker 4 (23:11):
There you go, but even that it's never easy, right
?
It's like, let's say, you had abusiness.
You've got a business thatmakes bottles and you want to go
and you've been doing it for along time.
It does $40 million a year.
It makes glass bottles and youwant to go, and you've been
doing it for a long time.
It does $40 million a year.
It makes glass bottles.
I want to sell that company andI got to find a investment
(23:33):
banking firm that specializes inmanufacturing companies that do
glass products.
It's hard, I can't always findthose.
Or I want to find a PE firmthat buys manufacturing
companies that make glassproducts or products used in
beverage industry.
It's hard to find.
(23:57):
Hard to find and it's muchharder than you think.
So it's like again, I keepcoming back as the business
owner, I want to automate myfreaking call center prospecting
.
Where do I go?
I can Google it, I guess.
I don't know if these guys areany good or whether they really
know that or not.
At this stage I'm saying yeah.
Speaker 1 (24:16):
Development Over time .
Sure, I'll find them, andthat's the thing is.
Once you find them, then youhave another problem.
You hire them Right, are theyhire them?
Speaker 4 (24:28):
right.
Are they good or bad?
It's always devastating to butyou we've been through that as
business.
Speaker 1 (24:30):
We have been through a million times, a million
million problems and it'scounting system implementation.
Oh my god oh my god painfulyeah, I mean painful.
Speaker 4 (24:38):
It's like 80%, yeah, yeah oh, and then?
Speaker 1 (24:41):
you got chain?
Oh, I don't.
You know shouldn't useSalesforce, you should use
HubSpot, it's like oh my God,here we go.
Speaker 2 (24:48):
And it's so painful, but you've got to do it.
Soho, soho, soho.
Speaker 1 (24:54):
Pivot or pivotal?
Yeah, pivotal solutions,pivotal solutions.
But I mean it's the same thingover and again.
Right, it is, but as anentrepreneur, the damage, the
real mistake is saying Notjumping in.
It's not jumping in and it'snot understanding that this
(25:16):
industry is rising up.
That is a whole new thing, butyou can do things through AI
that you weren't able to dobefore.
It's just like it's not areplacement.
I don't think that people aregoing to be so off put like what
we're talking about, right it'san enhancement, it is an
addition.
Speaker 4 (25:36):
Is what you're saying ?
Speaker 1 (25:37):
yeah, yeah, it's an addition and things will fall
and fit in place, and andthere'll be, but, you know,
that's why, like a lot of times,I see some of the big LLM
leaders talk about this.
They go back and forth.
There will be job changes,significant changes, and that's
the reason why, though, is thatif you don't adopt, you will be
(25:59):
surpassed right by theAI-infused enabled processes.
Yeah, sure Right.
Speaker 4 (26:06):
But you still have aused enabled processes.
Speaker 1 (26:07):
Yeah, sure, right, but you still have a place in
all this, right?
Speaker 4 (26:11):
Yet this has really come in clear to me now, and I
hope so for our listeners.
Well, here's what you're sayingthough yeah, okay, we can go to
AI and we can give it a queryand have it solve our problem.
Right, May do a crap job of it.
We're probably going to dobetter if we map out the process
we want it to follow when we gothrough the steps as Josiah
(26:31):
laid out, right, okay, so thattakes some thinking right here,
and that even asking it how wewant it to complete those steps
takes some thinking in thequerying.
So we're not going to.
We are still needed.
I guess this is my point.
Speaker 3 (26:53):
Yes, we are still needed.
Speaker 4 (26:54):
We still need the intelligent human to go through
that part of the process becausewe can't trust it to make good
decisions.
No, right At all for us, rightas we were talking about.
Speaker 2 (27:08):
As we were talking about.
Speaker 4 (27:09):
Yeah, but if we break it down in these steps, it
builds up our confidence becausewe can do a quality check
basically at any step along theway and we understand what went
into it, just like the mathproblem.
Instead of I'm going to do aregression analysis, I punch the
numbers in on my computer andit spits out the correlation
(27:29):
coefficient or whatever.
It helps to understand whatgoes into that, because then we
know whether it makes any senseor not.
Speaker 1 (27:43):
And then, I think, the second part.
Just like in normalcircumstances, you got to manage
this thing.
Speaker 4 (27:47):
Yeah.
Speaker 1 (27:49):
Once you've built it, is it outputting?
By the way, is there somethingbetter?
Is there a better tool nowthat's even more refined and
more detailed and more-?
Speaker 4 (27:57):
Should we use it for another problem?
Is this not the right problemto solve with it?
That's right, yeah, I mean,there's all those.
It makes total sense, dr.
Speaker 1 (28:05):
And then you got to be able to fire one and hire a
different one, talking abouttools or consultants or whatever
.
Speaker 4 (28:12):
You got to move it right.
Speaker 3 (28:13):
Yeah.
Speaker 1 (28:14):
Dr.
And then, or is there somebodythat is an asbestos very
specific black mold person?
That's the best in the world,because you got to fix that
problem once and for all.
Yeah, dr Got to fix thatproblem once and for all, and
it's building teams of peoplethat can do these specialized
things.
And then you've got to make themothership all talk together
and come together.
Speaker 4 (28:32):
I'm overwhelmed.
No, I'm really gettingoverwhelmed.
Speaker 1 (28:36):
Like QuickBooks has been the accounting software,
but imagine a land where there'sa new, potentially better
QuickBooks.
It is business entrepreneurshipat its greatest core of
competitiveness.
Speaker 4 (28:49):
Oh, I can see this, it is absolute.
Speaker 1 (28:52):
The competitive arena on AI is at a proportion that's
never been experienced before,because they just continuously
compete and it's not just thesmall like we used to have,
where you had really smallbusinesses competing really hard
.
You had your mid-layerscompeting pretty well, but your
big guys would just own a marketright Like your Microsoft.
Speaker 4 (29:14):
Not the case now.
Well, there's no capitalrequirements to get into it
theoretically.
Speaker 1 (29:20):
Well, theoretically.
Speaker 4 (29:22):
Yeah, if you're an individual, I guess.
Speaker 1 (29:25):
Well, but then you do have the VC firms that are just
like punching money at you.
Speaker 4 (29:28):
Sure, because it's just they want to hire the best
talent and all that takes money.
And to market it to get theword out that you're there.
Speaker 1 (29:36):
And then there's new ideas like is really an LLM, a
chat GPT, really great?
For me, if I'm a photographer,probably not.
But this one that so-and-socame out with that built
together some money and theybuilt a product that specialized
for photography.
Speaker 4 (29:51):
Yeah, it seems sort of like what I'm hearing.
You guys say You've got thevertical industry market.
That's one thing, but then youhave sort of the discipline
within it.
Like you said, photography,document search, yada, yada,
yada.
They're like that's a matrixDocument search for a law firm
Connection the best in the world, yeah, that's my opportunity
(30:15):
spot.
It's fascinating, and then youcan go even deeper, like let's
take it a little.
Speaker 1 (30:22):
Maybe I found the best document AI tool that's on
the market.
But to Josiah's point, then Itake that I find a document,
that same document toolspecialist consulting agent
builder on Fiverr, I bring themin.
I'm like, hey, I want you touse this tool, I want you to
(30:44):
build me a flow, but using mydata that I have in my firm for
my clientele.
Cause nobody else has that I'mgoing to keep it in my black box
.
Speaker 4 (30:54):
Oh yeah, okay.
Well, now you're really at thepeak of opportunity.
Speaker 3 (30:59):
Ready to level up your show?
At podcastvideoscom, we offerindustry leading recording and
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We've got you.
That's what's happening, morrisSure.
Speaker 1 (31:15):
That's what's going on, yeah, and I think that the
best here's the thing is like.
The reality in my perspectiveis that there's been no greater
opportunity in the world for anentrepreneur than is going on
right now Ever yeah.
Speaker 4 (31:27):
I hear you.
I mean, I can see it'svirtually unlimited.
It's unlimited, yeah, I think.
The problem, though, if you goback to small firms and
entrepreneurial ventures and allis their data is not that well
organized.
Speaker 2 (31:41):
It is yeah.
Speaker 4 (31:42):
And maybe AI can harvest it and organize it.
But you know, there's like allthis data.
I mean, you know like ZweiGroup.
I mean, it's a 37-year-oldcompany on July 13th.
They've got so much informationit would blow your freaking
mind, but there have beenchanges in ownership, there have
(32:02):
been changes in applications.
There have been all thesethings over the years where the
data is not as Some of it'suseful.
Yeah, some of the stuff ishighly organized and very useful
, like they do research on theindustry.
Speaker 1 (32:18):
But it's like opening up a treasure chest and you've
got a bunch of crap in there,but there are some really good
diamonds in there, yeah likebuying storage units out of a
treasure chest.
Speaker 5 (32:25):
Yeah that's exactly it Like rummaging through
plastic toys.
Speaker 4 (32:29):
I'm like, oh my gosh, you know, rare coin collection.
Speaker 1 (32:33):
Is there a tool that out there that can help mine
that relevant?
I mean like do you see toolslike that For?
Speaker 2 (32:38):
like data cleanup and organization and structure.
Yeah, I mean that's huge,because what you know typical
programming like is what I wouldteach my GT students when we
were coding and doing roboticsis computers are stupid, right,
they can only read the code.
They can't make inferences,they can't, you know, make
(33:02):
judgments, but all of a suddenAI can.
And AI is looking at semantics.
They're not just looking atthis.
That's why we need him Right.
It's not just looking at astring and so you could have a
bundle of data that isstructured and organized
differently, that has differentlabels and the metadata doesn't
(33:22):
match up.
But if you have a structuredresponse that you or a
structured response that you ora structured output that you
want to all of your data to looklike this, then AI can start to
funnel and begin.
Speaker 4 (33:35):
Yeah, now I'm back to your approach.
Find the company associatedwith each one of these names in
my database, yeah, okay, okay,now I got that out of the way.
Now find the location of thepeople in that company for each
of the names in my database, andI'm building this funnel.
You know what I'm sayingCompany location, person.
(33:56):
Remember how Pivotal Solutionswas?
Speaker 3 (33:58):
organized.
Speaker 4 (33:58):
Yeah, dude, now I can look at the relationship I have
with the entire company insteadof just with Joe Blow.
Speaker 1 (34:05):
And with the company with 37 years, all those emails
like, get into the emails of theold inboxes that were blah,
blah, blah and start tyingtogether.
Speaker 4 (34:13):
This is just fascinating.
Speaker 1 (34:15):
Are there consultants and companies out there that
could probably specialize ininternal data?
Speaker 2 (34:21):
mining.
Speaker 1 (34:22):
That's a whole industry right there Well.
Speaker 4 (34:24):
I've always said like Outlook, let's just go mine
everybody's Outlook contacts.
I don't know how to do that,but I do know that there's a lot
of valuable information inthose where they weren't put in
a CRM, because it's a hell of alot easier.
Here.
Somebody calls me Bob Johnson,boom, I'm done.
I don't need to go back and loginto Zoho and freaking figure
(34:45):
out any of that.
I'm not even on my desktop ever, or on my phone application at
Zoho.
Yeah so that's such a great.
Speaker 2 (34:55):
Yeah, ai could do that for me?
Speaker 4 (34:58):
I would assume yes, yeah, would you guys do that?
Speaker 2 (35:02):
Yes, right now.
Right now.
Speaker 1 (35:04):
They can do it in five minutes.
Speaker 4 (35:05):
Now listen this is a really great use of AI that
anybody could use.
Go build yourself a really goodcustomer and prospect list
harvesting your names out ofyour email.
Yeah, Okay.
Speaker 1 (35:21):
That could be a really great first step it is,
and go find that person that canhelp you do that.
Like I wouldn't try to here's.
I think this is where therubber meets the road.
If you're listening to this, Iwould not recommend you as a
business owner trying to go findthe right tool, the right
product, and then you startdoing it and now you're in tech
(35:42):
land trying to figure out thebest way and then how to output
it correctly and all this stuff.
But you can go and research andfind the job, the description,
the responsibilities you want.
Find that consultant that cando this for you.
Talk to that person, interviewmultiple of them.
Who's the best one?
Who's got the rightcybersecurity protocol, all the
(36:04):
legalities and the things thatyou've got to be cautious of.
Speaker 4 (36:07):
Yeah, our data is very valuable.
We don't want to be stealing.
Speaker 1 (36:09):
that I certainly don't want to be put in chat.
Gpd yeah.
Speaker 4 (36:13):
I'm going to think about sending it to some dude in
freaking Pakistan.
That's right, I found out onwhatever too.
Speaker 1 (36:21):
Yeah, like you don't want to.
Particularly, those arebusiness thinking strategies.
It's just like every otherbusiness decision.
You make All these differentparameters, the legalities, the
ethical standards, the brandthat you're trying to promote,
your target audience, all thesethings and then you find that
person, you interview them, thenyou hire them to do the
(36:44):
specific task.
Speaker 2 (36:45):
Yeah, yeah.
Speaker 4 (36:47):
Wow, my head's exploded, although I do feel
like I have a much, much betterunderstanding of this Good yeah
Today.
Thank you, because I think I'mtypical of a lot of people that
are listening.
In that regard, I agree,meaning we're largely ignorant.
Maybe we've had our chat GPTexperiments for the fun of it,
(37:08):
but you know we're not.
Speaker 1 (37:10):
But it's hard to apply that chat GPT experience
to.
Okay, I'm a business owner.
I keep hearing if I don't adoptAI I'm going to be screwed.
What the hell does it mean?
So I turn a cheat because I'mtoo damn busy to be researching
AI.
And the good news out of thispodcast and this discussion is I
don't think you necessarilyhave to be researching AI.
And the good news out of thispodcast and this discussion is.
(37:32):
I don't think you necessarilyhave to be good at that.
You just need to understandthat there are people that are
really good at it and it's justlike any other job, position or
contract that you need to go.
You need to go find thosepeople that are doing that and
understand how this applies toyour business.
Speaker 4 (37:44):
My God, I want an AI consulting business.
Yeah, it's so unlimited whatyou could do.
Speaker 1 (37:54):
But there's so much that you could do a lot of great
businesses by your experiencein life, Mark.
Speaker 4 (38:00):
This is fantastic.
Speaker 1 (38:01):
Like a marriage AI.
Speaker 4 (38:03):
Yeah, thanks, okay.
Speaker 2 (38:07):
You have a lot of experience in that.
Speaker 4 (38:09):
I do yeah.
Speaker 1 (38:10):
In the short time Connor's gotten to know you, he
knows that your experience inmarriage is.
Speaker 4 (38:16):
Yeah, I know it's like what I think.
I've been married 37 years.
Speaker 1 (38:20):
Yeah, three times.
Speaker 4 (38:23):
Yeah, but anyway, that's experience.
Speaker 1 (38:27):
Yeah, that's something that Connor would love
to subscribe to youre-newsletter about that, like
what not to do?
Yeah, red flags, we bothlearned a lot, yeah.
Oh, wait a minute, I'm not partof this, okay, anyway no.
Speaker 4 (38:41):
So this has been a really great conversation and I
think it's very useful to ourlisteners.
I appreciate you guys allowingus to bring you in the lobby
today and be our victim, subjectyourself to this.
Yeah, eric, I come in.
You got two smart guys and AIfury, so it's great.
Speaker 1 (39:02):
Eric Leach.
Yeah, it's exciting it's reallycool.
It's a cool environment.
I mean, it's really it.
It's definitely energizing on adaily basis.
Speaker 4 (39:10):
Yeah, if you want to keep yourself feeling like
there's unlimited opportunitiesin your business, start looking
at some of this stuff.
Yeah, that's all I can say.
Yeah.
Speaker 1 (39:19):
You know I'll end it with this.
As a business owner and anentrepreneur as a human being
period Period, it with this, asa business owner and
entrepreneur as a human beingperiod period, you have the full
power, control and ability tohave your perspective and your
thoughts.
You have control over yourthoughts and your time, two of
the things you can control.
Sure, you can look at thiswhole thing.
(39:42):
You can still make the time,you can pause it, you can
postpone it or you can jump inimmediately.
That's taking actions and youhave control over that.
And then you have the abilityto see this as decimating or
absolutely opportunistic andinvigorating.
It's your choice.
Speaker 4 (39:59):
Yeah well, you and I are never gonna see it as
decimating Right?
No, we won't.
That's our I mean if our trueentrepreneurs never, gonna this,
it's like oh, it's a threat.
Yeah, okay.
Speaker 1 (40:10):
I mean that never even occurs to me, True?
But I think that you know you.
Speaker 4 (40:16):
But you're right, an individual does make that choice
.
Speaker 1 (40:20):
And you have to make that choice.
And I think that you have tomake that choice on a regular
basis because, like, you canread the news, you can read the
negativity, you can watch thesocial, you can feel this
intimidation, this fear factor.
Let that overwhelm you, or youchoose to see the good out of it
, the cups overflowing, you know, and I'm taking action today
(40:40):
and not wait, notprocrastinating, wait until
tomorrow.
Speaker 4 (40:42):
I don't know when he became so philosophical.
Speaker 3 (40:46):
You know, I never should have let you out of my
clutches.
Speaker 4 (40:51):
I'm sorry, I really am.
I am sorry.
Speaker 1 (40:56):
I wish you would have never let me out of your
clutches either.
Speaker 4 (40:59):
You are so philosophical, yeah, but you're
absolutely right.
I think that's a good point forour listeners.
Speaker 1 (41:06):
Yeah, go big, yeah, but you're absolutely right.
Speaker 4 (41:09):
I think that's a good point for our listeners.
Yeah, yeah, go big.
Yeah, you see the opportunity.
Is it glass half full or is theglass half empty?
Again, when it relates to AI,is this a big threat to you or
is this like your gateway tovirtually unlimited success and
possibility?
It is.
Speaker 1 (41:23):
And when you're in the negative realm, it sucks you
down.
You'll reinforce it.
As you said Exactly, it justsucks you into it.
Speaker 4 (41:29):
Yeah, you will seek out all information that
reinforces your position.
Speaker 1 (41:31):
Light versus dark, good versus evil.
It's the same principle Suck inor blow out.
I'm going toward the light.
Speaker 5 (41:40):
That's it.
Speaker 1 (41:41):
Go into the light.
It's your choice and you havepower over it.
All right, good show, thank you, hey you guys got to end it
with this.
Okay, this has been another.
What was it?
Were you going to say something?
Speaker 2 (41:55):
No, I said yeah, help us.
Speaker 1 (41:57):
Okay, this has been another episode of Big.
Speaker 5 (42:01):
Talk about Small.
Speaker 2 (42:04):
Business.
Speaker 5 (42:12):
Thanks for tuning into this episode of Big Talk
About Small Business.
If you have any questions orideas for upcoming shows, be
sure to head over to our website,
wwwbigtalkaboutsmallbusinesscomand click on the Ask the Host
button for the chance to haveyour questions answered on the
show.
Stay connected with us onLinkedIn at Big Talk About Small
(42:33):
Business and be sure to headover to our website to read
articles, browse episodes andask questions about upcoming
shows.
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