November 4, 2025 • 39 mins
Headlines love the drama of AI-fueled layoffs, but the real story is what this shift unlocks for small teams, creators, and service providers.
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Headlines love the drama of AI-fueled layoffs, but the real story is what this shift unlocks for small teams, creators, and service providers. We go beyond the panic to map where we actually are—the adapt era—where smart tools remove busywork and human skills become the unfair advantage. If you’ve wondered whether you’re late to AI or about to be replaced, you’ll leave with a different lens: use AI to clear your path, then pour your time into the work only you can do.
We break down why AI is a lasting shift, not a passing trend, and why some companies will over-automate themselves into janky products while lean operators thrive. You’ll learn three reframes to navigate the chaos: lead with connection when corporations chase cuts, turn new efficiency gaps into growth, and move from information to transformation so your offers deliver outcomes, not overwhelm. We also unpack how social algorithms are pivoting from follower counts to relevancy, which is huge for niche voices. Clear positioning and a distinct point of view now travel farther than ever, while generic, AI-slop content sinks.
On the practical side, we share the tool stack moves that compress production by 70–80% without losing soul: faster research, sharper hooks, streamlined editing, and simplified distribution. Think “hire your tools before you hire headcount” so you can show up where it counts—coaching, cr
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
SPEAKER_00 (00:00):
Welcome back to the Business Knight Podcast.
I am your co-host, KimberlyanJimenez, and I'm here with my
co-pilot, Chris.
And today we're gonna dive intoall the crazy layoffs that are
happening this week in the techworld because of AI.
Now, we're actually gonna breakit down for all of you guys who
are wondering like, what theheck does this mean as a small
(00:22):
business owner?
I think that as online businessowners, we're kind of tech
adjacent.
And when these things happen,inevitably people get scared.
They start thinking, oh my gosh,is AI actually going to replace
me if it's already replacingtech jobs?
Like, how do I stand a chance?
Well, my friend, we're gonnaseparate chaos from truth today
(00:44):
and show you how you canactually use AI to your full
advantage, plus the hiddenopportunities that this crazy
time presents coming up.
(01:07):
So Chris, AI has been here forat least like what two and a
half years?
SPEAKER_02 (01:13):
I mean, if we want to be technical about it.
SPEAKER_00 (01:16):
True, true.
Like what Siri?
Would would you say Sirius?
SPEAKER_02 (01:20):
Yeah, a hundred percent.
Yeah.
Even the the uh autofill, right?
When you're tech when you weretyping in like your Gmail back
in the day and it was predictingwhat you were gonna say next,
like that technically is patternrecognition AI, right?
So it's just not new.
What's new is these largelanguage models like the Grox
and Chat GPTs.
And so that is now what isconsidered AI.
And to be fair, this is probablythe most like mainstream and
(01:41):
known that it's been.
SPEAKER_01 (01:42):
Yeah.
SPEAKER_02 (01:43):
Um, and some people are really, really excited, some
people are really, reallyscared, and most people are
somewhere in between.
SPEAKER_00 (01:47):
I think I'm somewhere in between.
SPEAKER_02 (01:48):
Yeah, yeah.
And it depends on what time ofthe day you ask me.
SPEAKER_00 (01:51):
True.
Exactly.
For real, for real.
So what's crazy too is that Ifeel like it has changed
everyone's consumption behavioron the internet, especially when
it comes to Googling things oryou know, using it for research.
At the same time, it's alsocreated a ton of opportunities.
(02:12):
And so it's just reallyinteresting.
I think that for us, our journeywith AI had been, hey, let's
just keep an eye on it and seeif actual, you know, market
adoption happens, if it changesbehaviors.
And last year we noticed, okay,it is not a trend, it is a
shift, right?
We talk about the differencebetween trends and shifts.
(02:33):
Chris and I are not earlyadopters in the sense that we
don't like to be the first onesto test something.
We'll observe what everyone elseis doing in the industry.
Yeah.
Um, let the market breathe andfigure out, okay, where do we go
from here?
SPEAKER_02 (02:46):
It's usually not a winning posture to be a
trendsetter or to be to bechasing trends because so few
people win, but more more oftenthan not, those people actually
pave the way for other people tocome succeed.
SPEAKER_00 (02:56):
Totally.
SPEAKER_02 (02:56):
And so we we like to allow companies that are VC
backed or like have some marginto go do those type things, and
then we'll just adopt andhopefully, you know, put mastery
on what has, you know, becomenow a shift, like him mentioned.
So that's our reasoning for it.
And it's something that werecommend to our people too,
right?
Unless you got a rich, rich,rich uncle or you are VC backed,
(03:17):
it's like you probably don'thave the margin to go through
the taking the lumps of actuallyfiguring this stuff out and
building the projects and stufflike that.
SPEAKER_00 (03:24):
So and as a small business owner, that doesn't
mean that you can't be an earlyadopter.
SPEAKER_02 (03:28):
For sure.
SPEAKER_00 (03:29):
For us, it's just not how our brain is wired, and
we like to be able to userepeatable models.
And we've seen and been aroundthe block a long time, and we've
seen the trends like absolutelyskyrocket, and then someone
built their entire business offof it, and then it collapsed.
Like, yeah, you know, everyplatform you can think of, like
Periscope, and it was literallyso that would be a perfect
(03:51):
example.
SPEAKER_02 (03:52):
We saw people build their whole business on
Periscope, right?
And like even named themselveslike their little pseudonym on
uh based off of Periscope,right?
SPEAKER_01 (03:58):
Right.
SPEAKER_02 (03:59):
And then but but that was a trend that led to a
shift, which was going live,which I don't think has actually
been.
I mean, depending on it hasn't.
SPEAKER_00 (04:08):
Right.
I know people everyone was like,okay, you're gonna have to do
video live.
You can like video is gonna beextinct.
And I know that it soundsridiculous to compare Periscope
to Chat GPT, but it's not justPeriscope, right?
It's like, what was that?
I can't I always forgetClubhouse.
Things completely died.
Platform after platform afterplatform is like, oh, now we're
(04:28):
gonna listen to podcasts live.
We're not gonna actually recordpodcasts.
It's like, oh, well, that'sgone.
Yeah.
Um, and then I remember justsimple things like, you know,
Facebook ads are the only adsthat you're ever gonna be able
to run.
And now, I mean, sure, they, youknow, they stood the test of
time in a way, but there's somuch more opportunity on
platforms like TikTok andYouTube.
(04:48):
And it's just interesting to mehow um everything changes.
But yeah, the point is that oncea trend becomes a shift, we will
jump on and adapt.
This is because I think that'simportant.
And it is a shift.
This is a shift, it's animportant shift, and there's a
lot of positives that are alsocoming out of it.
Yeah.
Um, I want to be very clearabout our position.
(05:09):
If it was up to us, we would putthe AI back in the box.
Like I there is a lot ofpotential for destruction here.
Okay.
We are not trying to sugarcoatthat or act like it's just the
best gift to mankind becausethat's not how I actually feel.
If it was up to me, I'd be like,nope.
I think that this is uhspiritually dangerous.
(05:31):
I think there's a lot of thingsthat could happen that could go
wrong.
Um, but then again, there's alsoa lot of positives.
And so we're here, it's notgonna go away.
How do we adapt and actuallymake it uh a powerful tool in
our ecosystem instead of tryingto fight it or be afraid?
SPEAKER_02 (05:47):
Yeah.
We um I don't yeah, I don't wantto go down those trenches.
I'm actually getting ready to doa video on that.
I've broken it down into whatI'm calling eras that of AI
waves and a lot of societalimplications that Kim just
mentioned.
So if you're interested inhearing somebody completely nerd
on that, I'll just go check outhis video.
We will link it here when I'mabout to go down that rabbit
hole now and I'm like, no, areyou sure?
(06:08):
Yep.
SPEAKER_00 (06:09):
Just a little teaser?
SPEAKER_02 (06:10):
Uh okay, I'll show you the slides.
I'll at least show you what Ihave so far.
SPEAKER_00 (06:13):
Just a little bit.
SPEAKER_02 (06:14):
Um, yeah.
So right now, I'll show youwhere we are, in my opinion.
Um, in my humble opinion.
So we there we go.
Uh and I'll zoom in so you guyscan actually see this too.
Uh so right now, this is wherewe are.
So we are right in between whatI'm calling the adoption era and
the adapt era.
(06:35):
And so right now, what you'reseeing is people realizing what
we just said, right?
Meaning it's not a trend, thisis a shift, and they're
adapting, right?
And they're infusing AI intowhat they do, they're infusing
AI into their daily operations,they're infusing AI in how they
do content, how they literallylive their lives, right?
Like you're using not justgetting online and asking, oh,
(06:56):
can you make something funny forme on ChatGPT?
No, you're actually using it intransformative ways in your life
and in your business.
That will lead to what I'mcalling the expansion era.
Meaning companies will operatethe most efficiently they ever
have.
A small bit think about how manytimes you said, like, if I could
just do the things that Iactually like to do in my
business and not be bogged downwith nonsense.
(07:17):
Well, your time, like, this isthe greatest era for you ever,
then.
Because all those things thatyou don't like doing, great,
we're gonna figure out how toclear your path.
Right.
I was literally talking to mybrother about this.
He's got a very uh in involvedjob with a lot of moving parts
and pieces.
It's very dynamic.
And I told him, I said, this isyour time right now to get rid
of like 90% of that.
SPEAKER_01 (07:36):
Yeah.
SPEAKER_02 (07:36):
To utilize AI in powerful ways.
And I'm not talking about justChat GPT, I'm not talking about
you know, custom GPTs.
Like, there are amazing waysthat you can actually run your
life now using these tools,which will lead to the ability
to be more productive than ever,companies will be more
profitable than ever, which willlead to massive investments and
expansions into things that Idon't think we've ever seen.
(07:56):
And I think fortunately, andagain, this is where we get into
the societal implications there,it's going to drive down costs
to make life more affordable.
And given the fact thatinflation is reaching what it
is, given the fact that thingscost what they do, given the
fact that literally we're payingmore interest on our debt than
what we're actually producing tobe able to pay off.
Concerning, right?
We're talking about US dollarand US economy.
This is the opportunity to beable to reverse course on a lot
(08:18):
of those things.
And I have a lot of, you know,other thoughts and what have you
about monetary systems.
Again, I'm gonna stop myself.
This is what you get for now,right?
So, bottom line is this you arenot late, you are not early, you
are right on time for what I'mcalling that adapt era.
And if you take advantage ofthat, I think what you're gonna
find is you're gonna be morefulfilled in your work.
(08:39):
You're gonna find that youactually love what you do.
You're gonna find that thethings that used to hold you
back are no longer in your wayand you're not waiting and two
years later still kickingyourself because it's like,
darn, I still haven't done thatthing.
No, the the era of getting thatdone and not having that bogging
you down is absolutely here.
And it's your time to takeadvantage of that and get out of
your own way in a lot of ways.
SPEAKER_00 (08:59):
I love that.
And so that kind of brings us tolike what is it that is actually
happening with these techlayoffs?
Um, I think you have a graph oflike all the companies that are
laying off people right now.
Um, and what I think it's reallyimportant to understand is that,
like Chris said, these layoffsare really about efficiency.
(09:22):
Companies are trying to becomemore efficient.
We are in a climate thatrequires efficiency in many
ways.
That doesn't mean that I'm happyor excited about this, in the
least I am.
Um, but it's helpful tounderstand what is happening and
what we can do about it.
So you see, UPS, Amazon, Intel,I mean, yeah, like that's a
crazy amount of companies havinglayoffs that are tied directly
(09:45):
to AI.
SPEAKER_02 (09:46):
Some of these, right?
So we okay, this is reallyimportant.
Sometimes we cling to the known,not and sometimes we cling to
things that necessarily aren'tfor the best because it's the
familiar.
SPEAKER_01 (09:58):
Yeah.
SPEAKER_02 (09:59):
And I'm not saying that all these jobs are things
that we should be like, yeah,fine.
Like what, you know, like it isa concern, right?
But do I think that somebodyneeds to be up on a 400-foot
cell phone tower replacing alight bulb, replacing cable
lines, like risking their lifeto do these things?
Or do I think that at some pointa robot should do that because
(10:19):
it's powered on AI?
Do I think that people reallyenjoy being in 110-degree heat
riding around deliveringpackages in a UPS truck?
I don't maybe you do.
Maybe you absolutely love that,but fundamentally at times we
actually risk human lives doingsome of these jobs that people
don't really even like doing.
They actually force themselvesto go do it and they end up with
serious health issues down theline, or they're just miserable
overall.
(10:40):
And so I think sometimes we haveto be like, look, some of this
is actually a good thing.
Some of it's actually aconcerning thing.
I think, you know, mid-leveldevelopers and engineers losing
their job.
Okay, that's a that's more of aconcern because that is a job
that a lot of humans did thatthey that weren't like risking
life, right?
Like that's not riskingsomeone's life.
SPEAKER_00 (10:57):
Yeah, it feels like a replacement.
It's what you're saying.
SPEAKER_02 (10:59):
It feels more replacement versus like, hey,
we're gonna subsidize thisbecause no human should do it,
versus that was actually reallythat was a that was what
somebody would call a good job.
Yeah, right.
So some of it is that, and someof it is, but really what it
comes down to is just overallefficiency, but we're gonna see,
right?
Because again, I don't I'm notgoing down into theoretical land
here.
I'm gonna stop myself, Ipromise.
(11:20):
But but I do think this is gonnahappen.
I do think that a lot of thesecompanies are a little too
bullish on this.
SPEAKER_00 (11:26):
And there's gonna be a clap back and a realization.
SPEAKER_02 (11:29):
And I think companies like Meta are trying
to go too much into AI andreplace humans too much, yeah,
where it's gonna be foundationsbuilt on sand.
SPEAKER_00 (11:37):
Yes, I agree.
SPEAKER_02 (11:37):
I really, really believe it's gonna be slop code
and these these platforms aregonna be janky and people are
gonna be like, this site sucksnow.
You're gonna see a lot of reallytrash.
My friends and I call it app uhthey think we called it app
teamu instead of like app sumo,uh, because a lot of these
platforms are just not gonnawork the way they're supposed to
because they're built on AI andthere's so so few humans
actually doing what's called QA,which makes sure that these
(11:59):
things are actually working theway they're supposed to.
SPEAKER_00 (14:13):
Yeah, absolutely.
I also think that we have to totruly understand what is
happening.
It's not that companies, youknow, are out here trying to
just uh replace every singleemployee.
I think they are becoming moreefficient.
And in a lot of ways, they'rewhat they're thinking about is
replacing repetitive tasks in alot of ways.
(14:33):
Not always, not everyone.
Um, and I think that that is theimportant thing to understand as
business owners uh andentrepreneurs is that you are
not a task, a repetitive task.
When you're a business owner,when you're an entrepreneur, you
bring creativity, problemsolving, and a very special
sauce to the table that mostpeople who are working desk jobs
(14:54):
don't have the range to do.
I mean, think about just theamount of hats that you wear on
an everyday basis, right?
Like you're the visionary,you're the integrator, you're
the bookkeeper, you're also thecreative person, you're creating
all the marketing and alsodelivering the service.
Yeah.
I don't think that peopleunderstand, like in the online
space particularly, howdifferent we actually are than
(15:15):
the rest of the population.
It's true.
Um, and how much we contributein so many amazing ways.
And that might sound rah-rah andyou know, idealistic, but I
think that what we're seeing inthe the trends are telling us is
that people are always going toneed human connections.
They're choosing human, eventhough they have AI.
(15:35):
Yeah.
Uh we'll talk more about howthat's playing out in the
businesses that we help coachand mentor as well as in our own
business.
Yeah.
And I think that being human iswhat differentiates us from AI.
Yeah.
And we have to lean into that asmuch as possible instead of
thinking, oh my gosh, you know,I'm going to be replaced and all
(16:00):
of my creative work is going tobe replaced because we do have
AI tools like Zora, right?
Who's they're creatingincredible videos and like
images.
And it's it's hard to reallycalibrate and figure out where
we fit in.
Yeah.
But the things that make ushuman are the things that we
have to lean into, the thingsthat only we can do, things like
(16:22):
empathy, connection.
In a lot of ways, AI is simplystealing our creativity, but
we're the ones who are authoringmost of it.
You know, we're not in a pointyet where it's able to
essentially design and createall on its own.
It's still sourcing data andusing patterns to figure out
what it needs to do.
Yeah, exactly.
SPEAKER_02 (16:42):
Um, yeah.
So you said something importantabout the taskmaster.
We we refuse to divorce ourtaskmasters because it's where
we've derived our meaning andvalue for so long, right?
It's like the same withintelligence.
Like we have der we have foundvalue in our intelligence for
centuries, right?
And I'm not saying like we'reall gonna be dumb plebs now,
like we're just not gonna besmart people, but I do think
(17:04):
that there are elements of usthat we've kind of lost
ourselves.
We've kind of lost the essenceof what it means to be human in
a lot of ways because we're soburied in the taskmaster stuff,
right?
And so, yes, it it it concernsme a lot how fast it's more the
speed of anything that concernsme.
SPEAKER_00 (17:20):
That is what is hard is because we don't have a break
to adapt.
SPEAKER_02 (17:23):
Yeah, it's the transition that concerns me.
Like I have a I have a vision ofwhat this could be long term,
and I think it's for thebetterment of humanity if it's
handled responsibly.
What concerns me is that gettingpeople to accept the shift and
most shifts take a long time,and this is moving really like
it's moving faster even than Iexpected.
SPEAKER_00 (17:41):
Yeah, and I think the real fear, like if we can
verbalize it really well, it'snot that uh we're afraid that
you know jobs are being lost.
It's that we're afraid thatwe're losing meaning as a
people, right?
Like without Am I neededanymore?
Is the question.
SPEAKER_02 (17:56):
Yeah, without time to be able to like compress and
and process that and transitionappropriately.
Exactly.
Right.
And that's where it's like thespeed of it is the adaptation is
gonna be really tough for a lotof people.
SPEAKER_00 (18:09):
But I think the good news is that we're it's not just
about like let's do the mosthuman tasks possible.
Like, let's do as many things ashumans as we can.
It's like, no, let's do thethings that we only can do as
humans, right?
Like the most human possiblethings.
How can we lean into that?
Yeah.
Um, and so I think that that'swhat presents the biggest
(18:29):
opportunity.
Yes, we need to upskill and wecan talk a little bit more about
that, right?
Um, and figure out ways in whichwe can cut our own
inefficiencies as small businessowners.
And that would be prior one forright priority number one.
Like, hey, like how do we findthe right tool stack?
And there's a lot of overwhelmaround that.
I think we're gonna do anotherepisode about like, hey, your AI
tool stack.
(18:50):
AI tool stack.
Like, what are we seeing thatthat is really working?
Because I think the hype of AIand what it promised that it
could do versus what it actuallycan do is super overwhelming.
Like it's so underwhelming.
SPEAKER_02 (19:03):
I was reading, it was like uh 67% of people have
there's a term that it used, itwas called like the AI gap or
something.
Yes.
But what what it basically whatthe study showed was that 67% of
people found themselves likeunderwhelmed or finding that it
didn't deliver on the corepremise of what they thought it
was going to do to the fullextent that they thought it
would.
Exactly.
That's a pretty significantamount of people.
(19:23):
Um, and so that that issomething to know.
And that's where I think peopletend to, and this happened with
the dot-com bubble, right?
Like people, like they were justthrowing money at projects.
Did you know there's more uh VCcapital infused into AI projects
than there even were?
I think it's like 17x moreconcentration.
Uh again, you're gonna factcheck me with AI on this one
(19:44):
now, but it's something likethat, right?
Uh, where it's where it'sroughly about the same
equivalent or substantially moreVC money into these projects
that were the dot-com bubblebecause people would get so
enamored and everybody's rushingto that opportunity, right?
And so we're we've kind of movedpast that enamorment season to
the realities that we're nowtalking about with this thing.
And it doesn't mean that they'renot great.
(20:06):
It doesn't mean that like thethe dot-com bubble didn't meant
the internet went away.
SPEAKER_01 (20:09):
Yeah, right.
SPEAKER_02 (20:09):
It it obviously didn't because we here we are.
SPEAKER_01 (20:11):
Right.
SPEAKER_02 (20:11):
Uh but what it meant was it was like like people
thought that like this was justgonna be the answer to every
problem.
SPEAKER_00 (20:18):
To everything.
SPEAKER_02 (20:18):
And obviously that wasn't the case.
Yes.
Because what do we learnfundamentally?
If information was the answer,we'd all be billionaires.
All of us.
And yet here we are.
SPEAKER_00 (20:26):
With more information.
SPEAKER_02 (20:27):
Yet here we are, 20 years later, still watching this
podcast.
I know.
Because what are Kim and Chrisgoing to tell me I need to do in
my business?
Because this new technology isgonna take my darn job away or
my kill my business, right?
SPEAKER_01 (20:38):
Uh-huh.
SPEAKER_02 (20:39):
So again, like perspective, right?
Like we have these crazyknee-jerk reactions sometimes,
and sometimes it's warranted andsometimes it's not.
There's definitely adaptationthat needs to take place.
But I do think that context,intuition, empathy, like what
makes you a person, it justcan't be synthesized.
If there's something about whoyou are and what makes us human,
(20:59):
that sounds really woo-woo andrah-rah, whatever.
It does sound woo-woo, but it'strue though.
And I think the the I think thepart that scares us the most is
that we don't like we haven'taddressed that in so long
because we are so busy doing thethings that we don't even like
to do because it's part of thethe the gig, right?
It's like, but I gotta do allthese things, and then maybe the
(21:19):
last hour of my day, I canactually do some things in my
business that I want to do.
Like I can create content.
Like, how many people have said,like, oh, like I would love to
do YouTube, I just don't havethe time to do it.
I would love to, you know, postmore about I'd love to blog, I'd
love to, you know, like go livewith my audience.
I love, but you you can'tbecause your 95% of your day is
compressed or or is is spent onthings that you don't even like
(21:41):
to do.
And so I think we kind ofassociate our identity there and
find value in that, like Imentioned.
And now it's like, okay, so wehave to address and face the
thing that we've kind of likelost sight of in a lot of ways.
So I don't want to be talking incircles here because I feel like
I already said that, but to me,that's the big opportunity that
no one's talking about, in atleast not as much as the fear
(22:02):
that we hear people talkingabout, right?
SPEAKER_00 (22:04):
Yeah, I agree.
So I think there's threereframes that I have in my
outline that are reallyimportant for us to understand
now.
Um, so the first one is that ascompanies are cutting costs and
becoming more efficient, assmall business owners, our
reframe is that we need toincrease connection.
Again, the human valueproposition is so empowering and
(22:27):
so important in this season.
Um, and so how does that playout?
I think sometimes we look at ourcompetitors um, you know, as as
bigger corporations and we feelreally small.
We're like, but I'm just, youknow, a team of one, or I'm a
team of three, or I'm a team of10.
How do we compete?
Um, and the reality is thesmaller you are, the bigger
(22:48):
advantage you have.
SPEAKER_01 (22:49):
In the season, you know.
SPEAKER_00 (22:50):
In the season, especially, because people want
to connect with humans.
They don't want to connect withtools and they don't want to
connect with corporations.
Um, those things are helpful interms like the tools are helpful
and the corporations createproducts that are helpful too.
But I think we have a crisis oftrust.
We've talked about the 2025Edelman report.
(23:10):
You know, I was doing someresearch with AI today, and like
it's just article after articleafter article about the trust
crisis.
Yeah.
The smaller you are, the morewilling people are to give you
their trust.
And trust is a huge currency inthis season.
I think that the more we becomequote unquote replaced by the
(23:31):
robots, the more people aregoing to crave real human
connection.
And so, how does that show upfor you?
It means that you need to startthinking about community.
How do you build community intoyour business?
How do you build connectionswith your existing clients?
How do you create experiencesfor people instead of having
your value proposition be theold school model, which is
(23:52):
selling information?
You know, especially if you'rean online business owner and
you're like a coach or anexpert, you gotta pivot from
just I'm gonna show uh show andsell information to I need to
focus on transformation,connection, empathy, and
relatability.
I think that's the firstreframe.
SPEAKER_02 (24:08):
Yes, absolutely.
SPEAKER_00 (24:09):
Awesome.
So the second one, did you wantto say something?
SPEAKER_02 (24:12):
Yeah, yeah.
Um, so I I'm just I'm likeruminating on examples and stuff
like that while Kim's talking.
But I I wasn't sure.
SPEAKER_00 (24:18):
I'm like, I'm not, I'm not sure.
SPEAKER_02 (24:20):
I'm in full ADD land on that, right?
So uh I talked about thisrecently, um, but the the new
algorithms are gonna be run onsocial media.
Just just one example, right?
One example.
The new algorithms are gonna beheavily run on AI.
This is something Elon justannounced with X, and trust me
when I tell you, TikTok'salready been doing it and
everybody else is already gonnaadopt this as well.
And the reason is because whatthey're finding is that social
(24:42):
media's gotten really crowded,right?
Like everybody's fighting in thealgorithms, trying to get that
position.
It's all an auction block.
So when you submit content, ithas criteria that it looks for
to like where you're gonnaposition in the news feed.
Right.
So if there's 500 posts, right,let's just say like economy of
scale, right?
Let's just boil it down to makeit numbers that make sense
because trust me, it's way morethan 500.
But let's say like you're number499.
(25:02):
Well, the likelihood of yougetting seen is very slim,
right?
Well, as time has progressedbased on these algorithms,
you're not getting visible,you're not having visibility on
social media anymore.
And people are gettingfrustrated with content.
Now, positive reframe now isthat great, AI is actually being
able to learn more about you andthe content that's relevant for
you.
Right.
So that it's not thistraditional, oh, we'll get in
line in the auction block andhopefully we show your stuff.
(25:23):
You know, it's like, no, it'snot built on those very simple
models of algorithms.
It's built on an extremelydynamic algorithm now that's
gonna show your stuff, yourvoice, even though you're small.
First of all, you can run moreefficiently, like we talked
about, because you're gettingstuff out of the way.
But now your voice is actually,even with a small audience, is
gonna reach the people that itneeds to reach because these AI
algorithms are gonna look forthe one thing and the one thing
(25:44):
only relevancy for the personthat's actually looking for it.
SPEAKER_01 (25:48):
Yeah.
SPEAKER_02 (25:48):
So all these people, right, that are layoffs.
So let's reframe the layoffthing.
If let's say you do what we do,right?
You're you're a serviceprovider, you're a coach, you're
an expert, whatever, the peopleprimarily we work with.
Well, for us, you're gonna haveall these people that 18,000
people, 30,000 people, 300,000people are getting laid off.
Meaning they're gonna be lookingfor alternative means to make
money and they're probably gonnaturn to entrepreneurship.
(26:12):
So massive opportunities for us.
Well, now guess what?
If we're speaking with clarityon our content, the AI, the AI
algorithm is gonna know who it'sfor way better than the old
algorithms, and all this influxof new people, now we've got
fundamentally way more peoplethat we can serve that are
looking to do what we've beendoing for the last 10 to 12
years.
Yeah, that's just one example.
Sorry if that was a rabbit hole.
No, you're fine.
(26:32):
Off track here.
SPEAKER_00 (26:33):
No, because we we literally had a session last
week about this with ourcoaching clients about like,
hey, AI is actually gonna makefinding your content so much
easier.
So much easier.
Or the paradigm is gonna shiftcompletely.
We need to do an episode aboutthat because it's no longer
about followers at all.
It's all about relatability andconnection, which is so cool.
SPEAKER_02 (26:52):
And the reason that the followers mattered before
was because, again, those verysimple algorithms that they had
to show why.
Social media platforms are builton one thing, attention.
Because the more attention theygain from the people that are
using the platform, the more adsthey can show.
The more ads they show, the moremoney they make.
So the reason that followeraccounts used to matter so much
is because when you have a lotof followers, it tells the old
(27:15):
algorithms this person issomebody that people want to
hear from.
So that's why it would show yourstuff more if you had a bigger
follower account, right?
But as times progress, it'sbecome less that's the case
because now it's about what youhave to say that people want to
hear because TikTok masteredthat and they showed you what
you want to see, they showed itto you fast, and they showed it
to you often.
And people are spending anenormous amount of time there.
(27:35):
That's algorithm, it learns sofast, it's unbelievable.
Now imagine that across the web,right?
All these times that you post iton Instagram and you feel like
you just threw it into theabyss.
Now imagine again, you're at apoint where the right people are
seeing it, not just casting abig net based off things like
follower accounts, but based offof people that actually want to
hear what you have to say, notjust saying, oh, well, hopefully
somebody of this massive amountof people in the algorithm sees
(27:56):
my stuff.
No, it's very targeted and it'sgonna work almost to a degree,
maybe that never has before.
So again, I'll get out of thenerd weeds on this.
But these are the kind of thingsthat make me excited because I
see massive opportunity that wetend to not focus on or think
about or understand how thesetechnologies work.
And when you understand how theywork, you're like, whoa, that's
gonna be a huge opportunity.
SPEAKER_00 (28:15):
I like it.
So shift number two.
Yes.
Um AI is creating efficiencygaps, and that is still your
opportunity.
Yes.
That's really interesting,right?
So as we're fixing on one hand,efficiency with corporations at
the same time, every single newtrend of or really wave of
technology creates an efficiencygap.
(28:36):
And that is usually theopportunity.
So what I think is reallyimportant is that you learn to
partner with the tools that makeyour business run faster and
more efficiently.
Yeah.
Exactly.
There's always going to be anopportunity that opens up every
time we go through a techtransformation or a tech
evolution.
(28:56):
And it's going to be moreimportant than ever that you
actually hunt down thoseopportunities, that you're
looking for those opportunities.
Um, and I think, you know,everyone said this from the
beginning that ChatGPT droppedlike, hey, you're not going to
be replaced by AI, but you willbe replaced by someone who is
using AI.
Um, and I think that, you know,it's such a superpower tool to
(29:17):
have at your fingertips whenyou're using it responsibly,
when you're using it withintegrity, when you're using it
with the right um, you know,kind of um guardrails.
SPEAKER_01 (29:27):
Yeah.
SPEAKER_00 (29:27):
But the reality is that there is so much that we
can do with uh creating contentfaster.
Like we just showed you guys howmuch faster you can create
content with Spark, for example.
SPEAKER_01 (29:37):
Yeah.
SPEAKER_00 (29:37):
Our entire content workflow has probably been
optimized by 80%.
I think that we spend 20% of thetime uh actually thinking about
the best content ideas, how toframe things, the best hooks,
then actually editing, thenactually posting, then actually
writing.
Yeah.
(29:58):
And I love it because we canproduce these episodes.
Like Belle is gone right now.
Love Belle.
She's in maternity leave.
She's our editor and our contentmanager.
Um, and we're like, oh my gosh,we're gonna have to figure out
this whole thing.
But we're able to create aworkflow that enables us to get
these episodes out in like threehours.
And and we're not even doing thethree hours of work.
(30:18):
We're just like recording,filming, and then sending it to
uh our favorite AI stack thatactually helps us edit and then
publish and then clip all of ouruh sound vibes.
SPEAKER_02 (30:30):
And it's a level of production that's not gonna like
we're not gonna, it's not Mr.
Beast, right?
SPEAKER_00 (30:33):
Yeah.
SPEAKER_02 (30:34):
But for most times though, that's that's good
because it feels authentic.
SPEAKER_00 (30:38):
Right.
SPEAKER_02 (30:39):
Um, right.
So, so for a lot of you, justlike a what we call level one or
a level two edit is all youneed, anyways.
And the tools now, I thinkwithin six months, like one of
them D script that we use, Ithink is already gonna be there.
Totally.
If it's not already there now,which it pretty much already is,
which is crazy.
SPEAKER_00 (30:53):
Yep.
And I think that is absolutelylike framing the next one
because, and I I know I keepsaying that, but it's true.
Like you made me just thinkabout that.
Um, the new economy istrust-driven.
That's the third shift, right?
We have to understand that againas machines start scaling
information as if we haven'tscaled information enough.
(31:14):
You know, like YouTube hascontent about everything you
could possibly think about.
Google will find you everypossible article, and yet we
have more information.
So as these machines scaleinformation, it's up to us to
scale trust.
Yeah.
And we're in an environment thatcreates a massive opportunity
(31:35):
again for making sure thatyou're taking care of your
people the best you possiblycan, that you're connecting on a
human level and letting thetools do the work that is not
necessary for you to do so thatyou can do the thing that only
you can do, right?
Which is connection, creatingnew ideas, innovating, and
becoming more of a human centricbrand all around.
SPEAKER_02 (31:55):
Context, being dynamic, lived experience,
right?
Like all those things are superimportant.
And that's assuming again,you're like a consultant or a
coach or you know, expert insome way.
SPEAKER_00 (32:03):
Right.
SPEAKER_02 (32:04):
Um, yeah, super, super important.
SPEAKER_00 (32:06):
Okay.
So as a recap, ready for therecap?
Recap.
Very simple.
We're going to train trainers.
And make sure that you arebecoming as efficient as
possible.
Look at what are your gaps inyour company, right?
Like, do you have a ridiculouslylong workflow for your
marketing?
How can you actually optimizeyour efficiency when you're on a
(32:28):
call with a client or when youare, you know, actually
qualifying leads or completingyour sales process?
Audit your business and thinkabout where are the efficiency
gaps where you can hire yourtools.
Yes.
This is something you say allthe time: hire your tools.
Hire your tools before you'reready to hire your first or next
um employee.
SPEAKER_01 (32:46):
Yeah.
SPEAKER_00 (32:46):
The next thing is you want to make sure that
you're leading with trust,right?
That's super important.
Um, I think that uhstorytelling, leading with
empathy, with connection, beingreal and relatable and really
leaning into your humanity isgoing to be critical.
SPEAKER_01 (33:01):
Yeah.
SPEAKER_00 (33:01):
And the final thing, I want you to focus on
transformation, not tasks.
You we are trained sincechildhood to believe that our
worth is what we do.
It's not what we do anymore.
It's why we do it and how we doit that really matters.
True.
And so as you're thinking aboutyour sales mechanisms and your
(33:23):
marketing messages, how can yoube more clear about the
transformation that you'reproviding for people?
Not just tell them, you know,that this is the best solution,
but actually show them howyou're going to help them.
Like really think about hey,it's not information anymore,
it's transformation.
And if we lean into that, we'regoing to be positioned for
growth in an environment thatsometimes can feel a little
(33:45):
chaotic.
SPEAKER_02 (33:46):
Three years ago, we adopted saying internally as a
team, answers over information.
SPEAKER_00 (33:50):
Yes.
SPEAKER_02 (33:51):
We are in an environment of information
overwhelm and answer underwhelm.
People are now more overwhelmedthan ever with the abundance of
information they're getting.
And you can literally sit nextto somebody and be using chat or
grok or whatever.
Can I do this?
She will ask something in acertain way, and I'll ask it a
little bit slightly different,and it'll give us contra it'll
give us contradictory advice.
SPEAKER_00 (34:10):
It's true.
SPEAKER_02 (34:11):
And so all we've done is hyperscale information,
and it doesn't mean that theinformation is right and it just
is leading people to being moreoverwhelmed, or they're trying
things and that they got as faras information.
They're like, Well, that didn'twork now.
What?
And they're back to the drawingboard.
If you can be the answer forsomebody, be be in an
environment of chaos, beorganization for them.
(34:34):
Because we seek that when we'rein a chaotic environment, we
won't we'll seek that out whereit's we feel safe, we fear, we
feel peaceful.
We're not overwhelmed and inchaos.
And I think for a lot of people,that's gonna be something that's
gonna be a huge opportunity.
If you can focus ontransformation and answers for
people, um, it's gonna be power,power, powerful.
SPEAKER_00 (34:53):
Yeah, I agree.
SPEAKER_02 (34:54):
Yeah.
SPEAKER_00 (34:54):
You know, I think um I read this recently, and maybe
we'll close with this, but it'sthat AI can't replace people.
It can only replace people whoact like machines.
It's like, oh so if you're in arobotic, repetitive space, get
out.
Yeah.
You gotta lean into humanity andwhat makes you human.
And so for us, I think that themore human you become, the more
(35:17):
valuable you actually become.
I think that's really, really,really powerful.
Now, Chris, before we end, whatis our call to action?
Because we gotta, we gotta, wegotta move our people to do
something.
I think we should have themwatch the 1000 true fans
episode.
SPEAKER_01 (35:33):
Yeah.
SPEAKER_00 (35:34):
Where you're gonna actually learn how to build an
audience of real, absolutelyloyal buyers who love everything
that you put out and can't waitto buy it.
SPEAKER_02 (35:45):
Yes.
The reason I think that's thatis a really solid point is
speaking with specificity, as Imentioned with the new AI
algorithms, it's gonna beeverything.
Yeah.
Secondarily, people are gonna beusing, we talked about AI tool
stacks, right?
People are going to go toChatGPT or they're gonna go to
Grok or they're gonna go toClaude, whatever they use, and
be like, write me a sales page.
And you know what?
(36:05):
They're gonna all soundsoulless.
They're gonna sound the same.
And if you can figure out how toutilize that opportunity to
speak with clarity, you will besignal in a sea of noise.
Yeah.
And so those focusing on those1,000 true fans and speaking to
them and knowing exactly whothey are.
We literally will talk to peoplelike our clients and we'll say,
(36:27):
okay, let's use this messagingto this specific avatar and
let's get really refined onthat.
They'll see an increase ofsometimes like half a million
dollars in revenue, and theydon't even change anything else
they've been doing.
Yeah, they don't start doingmore content.
It's not like they just waved amagic ad wand or they just hired
some guru.
Like they literally just changedtheir positioning, changed their
messaging, and focused on whotheir person was, and just being
(36:50):
able to present in that wayliterally made all the
difference in the world.
Now, again, imagine that.
I know I keep harping on thisbecause I get excited about
algorithms.
But now imagine you're doingthat and you're giving these new
AI algorithms ammunition to gofind who those people look like
because you're the person that'sspeaking with clarity.
Now, what's gonna happen is thisreally important.
The people that are using, andplease don't find yourself in
this camp because I promise youyou're gonna hear, you're gonna
(37:11):
reach out to us in a year and belike, you were right.
I'm not seeing any benefit atall from these AI algorithms you
talked about.
Because what's gonna happen?
People are gonna do what we callslop content.
They're gonna literally just dowhat I said, they're gonna go to
chat, write me a sales page,whatever.
Well, here's what's gonnahappen.
These out these AI algorithms,they're not going to give
preference to this AI slobcontent because it all sounds
the same.
(37:31):
The stuff that's differentiated,the stuff that's with clarity,
the stuff that actually hasmeaning and purpose that people
are resonating with, that'swhat's gonna get priority in the
algorithms.
So, really important that youdon't make that mistake and fall
into that trap.
So when you build your techstack, make sure that everything
is still based off you.
It's Jarvis.
There's always Tony Stark.
Tony doesn't start working forJarvis.
That's not how it works.
Like you are always gonna beTony Stark.
(37:52):
I'm a huge nerd, I'm sorry.
But you are always gonna be TonyStark.
Use the tools, leverage them toyour ability, speak with
clarity, and identify who thosethousand fans are and speak to
those people.
And literally, I think you'regonna win bigger, bigger than
you ever have before.
I really believe that.
SPEAKER_00 (38:04):
I love it.
So we're gonna link to thatepisode in the show notes in the
description below if you'rewatching on YouTube.
And then also it's gonna be heresomewhere on the screen.
Go watch it now because it'salso gonna show you the only
three types of content that youneed to be creating and how to
leverage AI to make it happen.
All right.
So we love you guys.
Let us know what questions youhave in the comment section
(38:24):
below.
We're always reading them andusing them as future episodes.
So we want to hear from you.
Thank you for being here.
Don't forget to give this videoa thumbs up and subscribe.
Like 80% of you guys who watchour videos are not subscribed
yet.
All right.
So help us out.
This is the best possible waythat you can uh show support and
of course come work with usinside one of our group coaching
(38:45):
programs.
All of that info is gonna bebelow uh in the description.
We love you.
We'll see you in the next one.
Um beso.
Bye for now.
Welcome back to the Business Knight Podcast.
I am your co-host, KimberlyanJimenez, and I'm here with my
co-pilot, Chris.
And today we're gonna dive intoall the crazy layoffs that are
happening this week in the techworld because of AI.
Now, we're actually gonna breakit down for all of you guys who
are wondering like, what theheck does this mean as a small
(00:22):
business owner?
I think that as online businessowners, we're kind of tech
adjacent.
And when these things happen,inevitably people get scared.
They start thinking, oh my gosh,is AI actually going to replace
me if it's already replacingtech jobs?
Like, how do I stand a chance?
Well, my friend, we're gonnaseparate chaos from truth today
(00:44):
and show you how you canactually use AI to your full
advantage, plus the hiddenopportunities that this crazy
time presents coming up.
(01:07):
So Chris, AI has been here forat least like what two and a
half years?
SPEAKER_02 (01:13):
I mean, if we want to be technical about it.
SPEAKER_00 (01:16):
True, true.
Like what Siri?
Would would you say Sirius?
SPEAKER_02 (01:20):
Yeah, a hundred percent.
Yeah.
Even the the uh autofill, right?
When you're tech when you weretyping in like your Gmail back
in the day and it was predictingwhat you were gonna say next,
like that technically is patternrecognition AI, right?
So it's just not new.
What's new is these largelanguage models like the Grox
and Chat GPTs.
And so that is now what isconsidered AI.
And to be fair, this is probablythe most like mainstream and
(01:41):
known that it's been.
SPEAKER_01 (01:42):
Yeah.
SPEAKER_02 (01:43):
Um, and some people are really, really excited, some
people are really, reallyscared, and most people are
somewhere in between.
SPEAKER_00 (01:47):
I think I'm somewhere in between.
SPEAKER_02 (01:48):
Yeah, yeah.
And it depends on what time ofthe day you ask me.
SPEAKER_00 (01:51):
True.
Exactly.
For real, for real.
So what's crazy too is that Ifeel like it has changed
everyone's consumption behavioron the internet, especially when
it comes to Googling things oryou know, using it for research.
At the same time, it's alsocreated a ton of opportunities.
(02:12):
And so it's just reallyinteresting.
I think that for us, our journeywith AI had been, hey, let's
just keep an eye on it and seeif actual, you know, market
adoption happens, if it changesbehaviors.
And last year we noticed, okay,it is not a trend, it is a
shift, right?
We talk about the differencebetween trends and shifts.
(02:33):
Chris and I are not earlyadopters in the sense that we
don't like to be the first onesto test something.
We'll observe what everyone elseis doing in the industry.
Yeah.
Um, let the market breathe andfigure out, okay, where do we go
from here?
SPEAKER_02 (02:46):
It's usually not a winning posture to be a
trendsetter or to be to bechasing trends because so few
people win, but more more oftenthan not, those people actually
pave the way for other people tocome succeed.
SPEAKER_00 (02:56):
Totally.
SPEAKER_02 (02:56):
And so we we like to allow companies that are VC
backed or like have some marginto go do those type things, and
then we'll just adopt andhopefully, you know, put mastery
on what has, you know, becomenow a shift, like him mentioned.
So that's our reasoning for it.
And it's something that werecommend to our people too,
right?
Unless you got a rich, rich,rich uncle or you are VC backed,
(03:17):
it's like you probably don'thave the margin to go through
the taking the lumps of actuallyfiguring this stuff out and
building the projects and stufflike that.
SPEAKER_00 (03:24):
So and as a small business owner, that doesn't
mean that you can't be an earlyadopter.
SPEAKER_02 (03:28):
For sure.
SPEAKER_00 (03:29):
For us, it's just not how our brain is wired, and
we like to be able to userepeatable models.
And we've seen and been aroundthe block a long time, and we've
seen the trends like absolutelyskyrocket, and then someone
built their entire business offof it, and then it collapsed.
Like, yeah, you know, everyplatform you can think of, like
Periscope, and it was literallyso that would be a perfect
(03:51):
example.
SPEAKER_02 (03:52):
We saw people build their whole business on
Periscope, right?
And like even named themselveslike their little pseudonym on
uh based off of Periscope,right?
SPEAKER_01 (03:58):
Right.
SPEAKER_02 (03:59):
And then but but that was a trend that led to a
shift, which was going live,which I don't think has actually
been.
I mean, depending on it hasn't.
SPEAKER_00 (04:08):
Right.
I know people everyone was like,okay, you're gonna have to do
video live.
You can like video is gonna beextinct.
And I know that it soundsridiculous to compare Periscope
to Chat GPT, but it's not justPeriscope, right?
It's like, what was that?
I can't I always forgetClubhouse.
Things completely died.
Platform after platform afterplatform is like, oh, now we're
(04:28):
gonna listen to podcasts live.
We're not gonna actually recordpodcasts.
It's like, oh, well, that'sgone.
Yeah.
Um, and then I remember justsimple things like, you know,
Facebook ads are the only adsthat you're ever gonna be able
to run.
And now, I mean, sure, they, youknow, they stood the test of
time in a way, but there's somuch more opportunity on
platforms like TikTok andYouTube.
(04:48):
And it's just interesting to mehow um everything changes.
But yeah, the point is that oncea trend becomes a shift, we will
jump on and adapt.
This is because I think that'simportant.
And it is a shift.
This is a shift, it's animportant shift, and there's a
lot of positives that are alsocoming out of it.
Yeah.
Um, I want to be very clearabout our position.
(05:09):
If it was up to us, we would putthe AI back in the box.
Like I there is a lot ofpotential for destruction here.
Okay.
We are not trying to sugarcoatthat or act like it's just the
best gift to mankind becausethat's not how I actually feel.
If it was up to me, I'd be like,nope.
I think that this is uhspiritually dangerous.
(05:31):
I think there's a lot of thingsthat could happen that could go
wrong.
Um, but then again, there's alsoa lot of positives.
And so we're here, it's notgonna go away.
How do we adapt and actuallymake it uh a powerful tool in
our ecosystem instead of tryingto fight it or be afraid?
SPEAKER_02 (05:47):
Yeah.
We um I don't yeah, I don't wantto go down those trenches.
I'm actually getting ready to doa video on that.
I've broken it down into whatI'm calling eras that of AI
waves and a lot of societalimplications that Kim just
mentioned.
So if you're interested inhearing somebody completely nerd
on that, I'll just go check outhis video.
We will link it here when I'mabout to go down that rabbit
hole now and I'm like, no, areyou sure?
(06:08):
Yep.
SPEAKER_00 (06:09):
Just a little teaser?
SPEAKER_02 (06:10):
Uh okay, I'll show you the slides.
I'll at least show you what Ihave so far.
SPEAKER_00 (06:13):
Just a little bit.
SPEAKER_02 (06:14):
Um, yeah.
So right now, I'll show youwhere we are, in my opinion.
Um, in my humble opinion.
So we there we go.
Uh and I'll zoom in so you guyscan actually see this too.
Uh so right now, this is wherewe are.
So we are right in between whatI'm calling the adoption era and
the adapt era.
(06:35):
And so right now, what you'reseeing is people realizing what
we just said, right?
Meaning it's not a trend, thisis a shift, and they're
adapting, right?
And they're infusing AI intowhat they do, they're infusing
AI into their daily operations,they're infusing AI in how they
do content, how they literallylive their lives, right?
Like you're using not justgetting online and asking, oh,
(06:56):
can you make something funny forme on ChatGPT?
No, you're actually using it intransformative ways in your life
and in your business.
That will lead to what I'mcalling the expansion era.
Meaning companies will operatethe most efficiently they ever
have.
A small bit think about how manytimes you said, like, if I could
just do the things that Iactually like to do in my
business and not be bogged downwith nonsense.
(07:17):
Well, your time, like, this isthe greatest era for you ever,
then.
Because all those things thatyou don't like doing, great,
we're gonna figure out how toclear your path.
Right.
I was literally talking to mybrother about this.
He's got a very uh in involvedjob with a lot of moving parts
and pieces.
It's very dynamic.
And I told him, I said, this isyour time right now to get rid
of like 90% of that.
SPEAKER_01 (07:36):
Yeah.
SPEAKER_02 (07:36):
To utilize AI in powerful ways.
And I'm not talking about justChat GPT, I'm not talking about
you know, custom GPTs.
Like, there are amazing waysthat you can actually run your
life now using these tools,which will lead to the ability
to be more productive than ever,companies will be more
profitable than ever, which willlead to massive investments and
expansions into things that Idon't think we've ever seen.
(07:56):
And I think fortunately, andagain, this is where we get into
the societal implications there,it's going to drive down costs
to make life more affordable.
And given the fact thatinflation is reaching what it
is, given the fact that thingscost what they do, given the
fact that literally we're payingmore interest on our debt than
what we're actually producing tobe able to pay off.
Concerning, right?
We're talking about US dollarand US economy.
This is the opportunity to beable to reverse course on a lot
(08:18):
of those things.
And I have a lot of, you know,other thoughts and what have you
about monetary systems.
Again, I'm gonna stop myself.
This is what you get for now,right?
So, bottom line is this you arenot late, you are not early, you
are right on time for what I'mcalling that adapt era.
And if you take advantage ofthat, I think what you're gonna
find is you're gonna be morefulfilled in your work.
(08:39):
You're gonna find that youactually love what you do.
You're gonna find that thethings that used to hold you
back are no longer in your wayand you're not waiting and two
years later still kickingyourself because it's like,
darn, I still haven't done thatthing.
No, the the era of getting thatdone and not having that bogging
you down is absolutely here.
And it's your time to takeadvantage of that and get out of
your own way in a lot of ways.
SPEAKER_00 (08:59):
I love that.
And so that kind of brings us tolike what is it that is actually
happening with these techlayoffs?
Um, I think you have a graph oflike all the companies that are
laying off people right now.
Um, and what I think it's reallyimportant to understand is that,
like Chris said, these layoffsare really about efficiency.
(09:22):
Companies are trying to becomemore efficient.
We are in a climate thatrequires efficiency in many
ways.
That doesn't mean that I'm happyor excited about this, in the
least I am.
Um, but it's helpful tounderstand what is happening and
what we can do about it.
So you see, UPS, Amazon, Intel,I mean, yeah, like that's a
crazy amount of companies havinglayoffs that are tied directly
(09:45):
to AI.
SPEAKER_02 (09:46):
Some of these, right?
So we okay, this is reallyimportant.
Sometimes we cling to the known,not and sometimes we cling to
things that necessarily aren'tfor the best because it's the
familiar.
SPEAKER_01 (09:58):
Yeah.
SPEAKER_02 (09:59):
And I'm not saying that all these jobs are things
that we should be like, yeah,fine.
Like what, you know, like it isa concern, right?
But do I think that somebodyneeds to be up on a 400-foot
cell phone tower replacing alight bulb, replacing cable
lines, like risking their lifeto do these things?
Or do I think that at some pointa robot should do that because
(10:19):
it's powered on AI?
Do I think that people reallyenjoy being in 110-degree heat
riding around deliveringpackages in a UPS truck?
I don't maybe you do.
Maybe you absolutely love that,but fundamentally at times we
actually risk human lives doingsome of these jobs that people
don't really even like doing.
They actually force themselvesto go do it and they end up with
serious health issues down theline, or they're just miserable
overall.
(10:40):
And so I think sometimes we haveto be like, look, some of this
is actually a good thing.
Some of it's actually aconcerning thing.
I think, you know, mid-leveldevelopers and engineers losing
their job.
Okay, that's a that's more of aconcern because that is a job
that a lot of humans did thatthey that weren't like risking
life, right?
Like that's not riskingsomeone's life.
SPEAKER_00 (10:57):
Yeah, it feels like a replacement.
It's what you're saying.
SPEAKER_02 (10:59):
It feels more replacement versus like, hey,
we're gonna subsidize thisbecause no human should do it,
versus that was actually reallythat was a that was what
somebody would call a good job.
Yeah, right.
So some of it is that, and someof it is, but really what it
comes down to is just overallefficiency, but we're gonna see,
right?
Because again, I don't I'm notgoing down into theoretical land
here.
I'm gonna stop myself, Ipromise.
(11:20):
But but I do think this is gonnahappen.
I do think that a lot of thesecompanies are a little too
bullish on this.
SPEAKER_00 (11:26):
And there's gonna be a clap back and a realization.
SPEAKER_02 (11:29):
And I think companies like Meta are trying
to go too much into AI andreplace humans too much, yeah,
where it's gonna be foundationsbuilt on sand.
SPEAKER_00 (11:37):
Yes, I agree.
SPEAKER_02 (11:37):
I really, really believe it's gonna be slop code
and these these platforms aregonna be janky and people are
gonna be like, this site sucksnow.
You're gonna see a lot of reallytrash.
My friends and I call it app uhthey think we called it app
teamu instead of like app sumo,uh, because a lot of these
platforms are just not gonnawork the way they're supposed to
because they're built on AI andthere's so so few humans
actually doing what's called QA,which makes sure that these
(11:59):
things are actually working theway they're supposed to.
SPEAKER_00 (14:13):
Yeah, absolutely.
I also think that we have to totruly understand what is
happening.
It's not that companies, youknow, are out here trying to
just uh replace every singleemployee.
I think they are becoming moreefficient.
And in a lot of ways, they'rewhat they're thinking about is
replacing repetitive tasks in alot of ways.
(14:33):
Not always, not everyone.
Um, and I think that that is theimportant thing to understand as
business owners uh andentrepreneurs is that you are
not a task, a repetitive task.
When you're a business owner,when you're an entrepreneur, you
bring creativity, problemsolving, and a very special
sauce to the table that mostpeople who are working desk jobs
(14:54):
don't have the range to do.
I mean, think about just theamount of hats that you wear on
an everyday basis, right?
Like you're the visionary,you're the integrator, you're
the bookkeeper, you're also thecreative person, you're creating
all the marketing and alsodelivering the service.
Yeah.
I don't think that peopleunderstand, like in the online
space particularly, howdifferent we actually are than
(15:15):
the rest of the population.
It's true.
Um, and how much we contributein so many amazing ways.
And that might sound rah-rah andyou know, idealistic, but I
think that what we're seeing inthe the trends are telling us is
that people are always going toneed human connections.
They're choosing human, eventhough they have AI.
(15:35):
Yeah.
Uh we'll talk more about howthat's playing out in the
businesses that we help coachand mentor as well as in our own
business.
Yeah.
And I think that being human iswhat differentiates us from AI.
Yeah.
And we have to lean into that asmuch as possible instead of
thinking, oh my gosh, you know,I'm going to be replaced and all
(16:00):
of my creative work is going tobe replaced because we do have
AI tools like Zora, right?
Who's they're creatingincredible videos and like
images.
And it's it's hard to reallycalibrate and figure out where
we fit in.
Yeah.
But the things that make ushuman are the things that we
have to lean into, the thingsthat only we can do, things like
(16:22):
empathy, connection.
In a lot of ways, AI is simplystealing our creativity, but
we're the ones who are authoringmost of it.
You know, we're not in a pointyet where it's able to
essentially design and createall on its own.
It's still sourcing data andusing patterns to figure out
what it needs to do.
Yeah, exactly.
SPEAKER_02 (16:42):
Um, yeah.
So you said something importantabout the taskmaster.
We we refuse to divorce ourtaskmasters because it's where
we've derived our meaning andvalue for so long, right?
It's like the same withintelligence.
Like we have der we have foundvalue in our intelligence for
centuries, right?
And I'm not saying like we'reall gonna be dumb plebs now,
like we're just not gonna besmart people, but I do think
(17:04):
that there are elements of usthat we've kind of lost
ourselves.
We've kind of lost the essenceof what it means to be human in
a lot of ways because we're soburied in the taskmaster stuff,
right?
And so, yes, it it it concernsme a lot how fast it's more the
speed of anything that concernsme.
SPEAKER_00 (17:20):
That is what is hard is because we don't have a break
to adapt.
SPEAKER_02 (17:23):
Yeah, it's the transition that concerns me.
Like I have a I have a vision ofwhat this could be long term,
and I think it's for thebetterment of humanity if it's
handled responsibly.
What concerns me is that gettingpeople to accept the shift and
most shifts take a long time,and this is moving really like
it's moving faster even than Iexpected.
SPEAKER_00 (17:41):
Yeah, and I think the real fear, like if we can
verbalize it really well, it'snot that uh we're afraid that
you know jobs are being lost.
It's that we're afraid thatwe're losing meaning as a
people, right?
Like without Am I neededanymore?
Is the question.
SPEAKER_02 (17:56):
Yeah, without time to be able to like compress and
and process that and transitionappropriately.
Exactly.
Right.
And that's where it's like thespeed of it is the adaptation is
gonna be really tough for a lotof people.
SPEAKER_00 (18:09):
But I think the good news is that we're it's not just
about like let's do the mosthuman tasks possible.
Like, let's do as many things ashumans as we can.
It's like, no, let's do thethings that we only can do as
humans, right?
Like the most human possiblethings.
How can we lean into that?
Yeah.
Um, and so I think that that'swhat presents the biggest
(18:29):
opportunity.
Yes, we need to upskill and wecan talk a little bit more about
that, right?
Um, and figure out ways in whichwe can cut our own
inefficiencies as small businessowners.
And that would be prior one forright priority number one.
Like, hey, like how do we findthe right tool stack?
And there's a lot of overwhelmaround that.
I think we're gonna do anotherepisode about like, hey, your AI
tool stack.
(18:50):
AI tool stack.
Like, what are we seeing thatthat is really working?
Because I think the hype of AIand what it promised that it
could do versus what it actuallycan do is super overwhelming.
Like it's so underwhelming.
SPEAKER_02 (19:03):
I was reading, it was like uh 67% of people have
there's a term that it used, itwas called like the AI gap or
something.
Yes.
But what what it basically whatthe study showed was that 67% of
people found themselves likeunderwhelmed or finding that it
didn't deliver on the corepremise of what they thought it
was going to do to the fullextent that they thought it
would.
Exactly.
That's a pretty significantamount of people.
(19:23):
Um, and so that that issomething to know.
And that's where I think peopletend to, and this happened with
the dot-com bubble, right?
Like people, like they were justthrowing money at projects.
Did you know there's more uh VCcapital infused into AI projects
than there even were?
I think it's like 17x moreconcentration.
Uh again, you're gonna factcheck me with AI on this one
(19:44):
now, but it's something likethat, right?
Uh, where it's where it'sroughly about the same
equivalent or substantially moreVC money into these projects
that were the dot-com bubblebecause people would get so
enamored and everybody's rushingto that opportunity, right?
And so we're we've kind of movedpast that enamorment season to
the realities that we're nowtalking about with this thing.
And it doesn't mean that they'renot great.
(20:06):
It doesn't mean that like thethe dot-com bubble didn't meant
the internet went away.
SPEAKER_01 (20:09):
Yeah, right.
SPEAKER_02 (20:09):
It it obviously didn't because we here we are.
SPEAKER_01 (20:11):
Right.
SPEAKER_02 (20:11):
Uh but what it meant was it was like like people
thought that like this was justgonna be the answer to every
problem.
SPEAKER_00 (20:18):
To everything.
SPEAKER_02 (20:18):
And obviously that wasn't the case.
Yes.
Because what do we learnfundamentally?
If information was the answer,we'd all be billionaires.
All of us.
And yet here we are.
SPEAKER_00 (20:26):
With more information.
SPEAKER_02 (20:27):
Yet here we are, 20 years later, still watching this
podcast.
I know.
Because what are Kim and Chrisgoing to tell me I need to do in
my business?
Because this new technology isgonna take my darn job away or
my kill my business, right?
SPEAKER_01 (20:38):
Uh-huh.
SPEAKER_02 (20:39):
So again, like perspective, right?
Like we have these crazyknee-jerk reactions sometimes,
and sometimes it's warranted andsometimes it's not.
There's definitely adaptationthat needs to take place.
But I do think that context,intuition, empathy, like what
makes you a person, it justcan't be synthesized.
If there's something about whoyou are and what makes us human,
(20:59):
that sounds really woo-woo andrah-rah, whatever.
It does sound woo-woo, but it'strue though.
And I think the the I think thepart that scares us the most is
that we don't like we haven'taddressed that in so long
because we are so busy doing thethings that we don't even like
to do because it's part of thethe the gig, right?
It's like, but I gotta do allthese things, and then maybe the
(21:19):
last hour of my day, I canactually do some things in my
business that I want to do.
Like I can create content.
Like, how many people have said,like, oh, like I would love to
do YouTube, I just don't havethe time to do it.
I would love to, you know, postmore about I'd love to blog, I'd
love to, you know, like go livewith my audience.
I love, but you you can'tbecause your 95% of your day is
compressed or or is is spent onthings that you don't even like
(21:41):
to do.
And so I think we kind ofassociate our identity there and
find value in that, like Imentioned.
And now it's like, okay, so wehave to address and face the
thing that we've kind of likelost sight of in a lot of ways.
So I don't want to be talking incircles here because I feel like
I already said that, but to me,that's the big opportunity that
no one's talking about, in atleast not as much as the fear
(22:02):
that we hear people talkingabout, right?
SPEAKER_00 (22:04):
Yeah, I agree.
So I think there's threereframes that I have in my
outline that are reallyimportant for us to understand
now.
Um, so the first one is that ascompanies are cutting costs and
becoming more efficient, assmall business owners, our
reframe is that we need toincrease connection.
Again, the human valueproposition is so empowering and
(22:27):
so important in this season.
Um, and so how does that playout?
I think sometimes we look at ourcompetitors um, you know, as as
bigger corporations and we feelreally small.
We're like, but I'm just, youknow, a team of one, or I'm a
team of three, or I'm a team of10.
How do we compete?
Um, and the reality is thesmaller you are, the bigger
(22:48):
advantage you have.
SPEAKER_01 (22:49):
In the season, you know.
SPEAKER_00 (22:50):
In the season, especially, because people want
to connect with humans.
They don't want to connect withtools and they don't want to
connect with corporations.
Um, those things are helpful interms like the tools are helpful
and the corporations createproducts that are helpful too.
But I think we have a crisis oftrust.
We've talked about the 2025Edelman report.
(23:10):
You know, I was doing someresearch with AI today, and like
it's just article after articleafter article about the trust
crisis.
Yeah.
The smaller you are, the morewilling people are to give you
their trust.
And trust is a huge currency inthis season.
I think that the more we becomequote unquote replaced by the
(23:31):
robots, the more people aregoing to crave real human
connection.
And so, how does that show upfor you?
It means that you need to startthinking about community.
How do you build community intoyour business?
How do you build connectionswith your existing clients?
How do you create experiencesfor people instead of having
your value proposition be theold school model, which is
(23:52):
selling information?
You know, especially if you'rean online business owner and
you're like a coach or anexpert, you gotta pivot from
just I'm gonna show uh show andsell information to I need to
focus on transformation,connection, empathy, and
relatability.
I think that's the firstreframe.
SPEAKER_02 (24:08):
Yes, absolutely.
SPEAKER_00 (24:09):
Awesome.
So the second one, did you wantto say something?
SPEAKER_02 (24:12):
Yeah, yeah.
Um, so I I'm just I'm likeruminating on examples and stuff
like that while Kim's talking.
But I I wasn't sure.
SPEAKER_00 (24:18):
I'm like, I'm not, I'm not sure.
SPEAKER_02 (24:20):
I'm in full ADD land on that, right?
So uh I talked about thisrecently, um, but the the new
algorithms are gonna be run onsocial media.
Just just one example, right?
One example.
The new algorithms are gonna beheavily run on AI.
This is something Elon justannounced with X, and trust me
when I tell you, TikTok'salready been doing it and
everybody else is already gonnaadopt this as well.
And the reason is because whatthey're finding is that social
(24:42):
media's gotten really crowded,right?
Like everybody's fighting in thealgorithms, trying to get that
position.
It's all an auction block.
So when you submit content, ithas criteria that it looks for
to like where you're gonnaposition in the news feed.
Right.
So if there's 500 posts, right,let's just say like economy of
scale, right?
Let's just boil it down to makeit numbers that make sense
because trust me, it's way morethan 500.
But let's say like you're number499.
(25:02):
Well, the likelihood of yougetting seen is very slim,
right?
Well, as time has progressedbased on these algorithms,
you're not getting visible,you're not having visibility on
social media anymore.
And people are gettingfrustrated with content.
Now, positive reframe now isthat great, AI is actually being
able to learn more about you andthe content that's relevant for
you.
Right.
So that it's not thistraditional, oh, we'll get in
line in the auction block andhopefully we show your stuff.
(25:23):
You know, it's like, no, it'snot built on those very simple
models of algorithms.
It's built on an extremelydynamic algorithm now that's
gonna show your stuff, yourvoice, even though you're small.
First of all, you can run moreefficiently, like we talked
about, because you're gettingstuff out of the way.
But now your voice is actually,even with a small audience, is
gonna reach the people that itneeds to reach because these AI
algorithms are gonna look forthe one thing and the one thing
(25:44):
only relevancy for the personthat's actually looking for it.
SPEAKER_01 (25:48):
Yeah.
SPEAKER_02 (25:48):
So all these people, right, that are layoffs.
So let's reframe the layoffthing.
If let's say you do what we do,right?
You're you're a serviceprovider, you're a coach, you're
an expert, whatever, the peopleprimarily we work with.
Well, for us, you're gonna haveall these people that 18,000
people, 30,000 people, 300,000people are getting laid off.
Meaning they're gonna be lookingfor alternative means to make
money and they're probably gonnaturn to entrepreneurship.
(26:12):
So massive opportunities for us.
Well, now guess what?
If we're speaking with clarityon our content, the AI, the AI
algorithm is gonna know who it'sfor way better than the old
algorithms, and all this influxof new people, now we've got
fundamentally way more peoplethat we can serve that are
looking to do what we've beendoing for the last 10 to 12
years.
Yeah, that's just one example.
Sorry if that was a rabbit hole.
No, you're fine.
(26:32):
Off track here.
SPEAKER_00 (26:33):
No, because we we literally had a session last
week about this with ourcoaching clients about like,
hey, AI is actually gonna makefinding your content so much
easier.
So much easier.
Or the paradigm is gonna shiftcompletely.
We need to do an episode aboutthat because it's no longer
about followers at all.
It's all about relatability andconnection, which is so cool.
SPEAKER_02 (26:52):
And the reason that the followers mattered before
was because, again, those verysimple algorithms that they had
to show why.
Social media platforms are builton one thing, attention.
Because the more attention theygain from the people that are
using the platform, the more adsthey can show.
The more ads they show, the moremoney they make.
So the reason that followeraccounts used to matter so much
is because when you have a lotof followers, it tells the old
(27:15):
algorithms this person issomebody that people want to
hear from.
So that's why it would show yourstuff more if you had a bigger
follower account, right?
But as times progress, it'sbecome less that's the case
because now it's about what youhave to say that people want to
hear because TikTok masteredthat and they showed you what
you want to see, they showed itto you fast, and they showed it
to you often.
And people are spending anenormous amount of time there.
(27:35):
That's algorithm, it learns sofast, it's unbelievable.
Now imagine that across the web,right?
All these times that you post iton Instagram and you feel like
you just threw it into theabyss.
Now imagine again, you're at apoint where the right people are
seeing it, not just casting abig net based off things like
follower accounts, but based offof people that actually want to
hear what you have to say, notjust saying, oh, well, hopefully
somebody of this massive amountof people in the algorithm sees
(27:56):
my stuff.
No, it's very targeted and it'sgonna work almost to a degree,
maybe that never has before.
So again, I'll get out of thenerd weeds on this.
But these are the kind of thingsthat make me excited because I
see massive opportunity that wetend to not focus on or think
about or understand how thesetechnologies work.
And when you understand how theywork, you're like, whoa, that's
gonna be a huge opportunity.
SPEAKER_00 (28:15):
I like it.
So shift number two.
Yes.
Um AI is creating efficiencygaps, and that is still your
opportunity.
Yes.
That's really interesting,right?
So as we're fixing on one hand,efficiency with corporations at
the same time, every single newtrend of or really wave of
technology creates an efficiencygap.
(28:36):
And that is usually theopportunity.
So what I think is reallyimportant is that you learn to
partner with the tools that makeyour business run faster and
more efficiently.
Yeah.
Exactly.
There's always going to be anopportunity that opens up every
time we go through a techtransformation or a tech
evolution.
(28:56):
And it's going to be moreimportant than ever that you
actually hunt down thoseopportunities, that you're
looking for those opportunities.
Um, and I think, you know,everyone said this from the
beginning that ChatGPT droppedlike, hey, you're not going to
be replaced by AI, but you willbe replaced by someone who is
using AI.
Um, and I think that, you know,it's such a superpower tool to
(29:17):
have at your fingertips whenyou're using it responsibly,
when you're using it withintegrity, when you're using it
with the right um, you know,kind of um guardrails.
SPEAKER_01 (29:27):
Yeah.
SPEAKER_00 (29:27):
But the reality is that there is so much that we
can do with uh creating contentfaster.
Like we just showed you guys howmuch faster you can create
content with Spark, for example.
SPEAKER_01 (29:37):
Yeah.
SPEAKER_00 (29:37):
Our entire content workflow has probably been
optimized by 80%.
I think that we spend 20% of thetime uh actually thinking about
the best content ideas, how toframe things, the best hooks,
then actually editing, thenactually posting, then actually
writing.
Yeah.
(29:58):
And I love it because we canproduce these episodes.
Like Belle is gone right now.
Love Belle.
She's in maternity leave.
She's our editor and our contentmanager.
Um, and we're like, oh my gosh,we're gonna have to figure out
this whole thing.
But we're able to create aworkflow that enables us to get
these episodes out in like threehours.
And and we're not even doing thethree hours of work.
(30:18):
We're just like recording,filming, and then sending it to
uh our favorite AI stack thatactually helps us edit and then
publish and then clip all of ouruh sound vibes.
SPEAKER_02 (30:30):
And it's a level of production that's not gonna like
we're not gonna, it's not Mr.
Beast, right?
SPEAKER_00 (30:33):
Yeah.
SPEAKER_02 (30:34):
But for most times though, that's that's good
because it feels authentic.
SPEAKER_00 (30:38):
Right.
SPEAKER_02 (30:39):
Um, right.
So, so for a lot of you, justlike a what we call level one or
a level two edit is all youneed, anyways.
And the tools now, I thinkwithin six months, like one of
them D script that we use, Ithink is already gonna be there.
Totally.
If it's not already there now,which it pretty much already is,
which is crazy.
SPEAKER_00 (30:53):
Yep.
And I think that is absolutelylike framing the next one
because, and I I know I keepsaying that, but it's true.
Like you made me just thinkabout that.
Um, the new economy istrust-driven.
That's the third shift, right?
We have to understand that againas machines start scaling
information as if we haven'tscaled information enough.
(31:14):
You know, like YouTube hascontent about everything you
could possibly think about.
Google will find you everypossible article, and yet we
have more information.
So as these machines scaleinformation, it's up to us to
scale trust.
Yeah.
And we're in an environment thatcreates a massive opportunity
(31:35):
again for making sure thatyou're taking care of your
people the best you possiblycan, that you're connecting on a
human level and letting thetools do the work that is not
necessary for you to do so thatyou can do the thing that only
you can do, right?
Which is connection, creatingnew ideas, innovating, and
becoming more of a human centricbrand all around.
SPEAKER_02 (31:55):
Context, being dynamic, lived experience,
right?
Like all those things are superimportant.
And that's assuming again,you're like a consultant or a
coach or you know, expert insome way.
SPEAKER_00 (32:03):
Right.
SPEAKER_02 (32:04):
Um, yeah, super, super important.
SPEAKER_00 (32:06):
Okay.
So as a recap, ready for therecap?
Recap.
Very simple.
We're going to train trainers.
And make sure that you arebecoming as efficient as
possible.
Look at what are your gaps inyour company, right?
Like, do you have a ridiculouslylong workflow for your
marketing?
How can you actually optimizeyour efficiency when you're on a
(32:28):
call with a client or when youare, you know, actually
qualifying leads or completingyour sales process?
Audit your business and thinkabout where are the efficiency
gaps where you can hire yourtools.
Yes.
This is something you say allthe time: hire your tools.
Hire your tools before you'reready to hire your first or next
um employee.
SPEAKER_01 (32:46):
Yeah.
SPEAKER_00 (32:46):
The next thing is you want to make sure that
you're leading with trust,right?
That's super important.
Um, I think that uhstorytelling, leading with
empathy, with connection, beingreal and relatable and really
leaning into your humanity isgoing to be critical.
SPEAKER_01 (33:01):
Yeah.
SPEAKER_00 (33:01):
And the final thing, I want you to focus on
transformation, not tasks.
You we are trained sincechildhood to believe that our
worth is what we do.
It's not what we do anymore.
It's why we do it and how we doit that really matters.
True.
And so as you're thinking aboutyour sales mechanisms and your
(33:23):
marketing messages, how can yoube more clear about the
transformation that you'reproviding for people?
Not just tell them, you know,that this is the best solution,
but actually show them howyou're going to help them.
Like really think about hey,it's not information anymore,
it's transformation.
And if we lean into that, we'regoing to be positioned for
growth in an environment thatsometimes can feel a little
(33:45):
chaotic.
SPEAKER_02 (33:46):
Three years ago, we adopted saying internally as a
team, answers over information.
SPEAKER_00 (33:50):
Yes.
SPEAKER_02 (33:51):
We are in an environment of information
overwhelm and answer underwhelm.
People are now more overwhelmedthan ever with the abundance of
information they're getting.
And you can literally sit nextto somebody and be using chat or
grok or whatever.
Can I do this?
She will ask something in acertain way, and I'll ask it a
little bit slightly different,and it'll give us contra it'll
give us contradictory advice.
SPEAKER_00 (34:10):
It's true.
SPEAKER_02 (34:11):
And so all we've done is hyperscale information,
and it doesn't mean that theinformation is right and it just
is leading people to being moreoverwhelmed, or they're trying
things and that they got as faras information.
They're like, Well, that didn'twork now.
What?
And they're back to the drawingboard.
If you can be the answer forsomebody, be be in an
environment of chaos, beorganization for them.
(34:34):
Because we seek that when we'rein a chaotic environment, we
won't we'll seek that out whereit's we feel safe, we fear, we
feel peaceful.
We're not overwhelmed and inchaos.
And I think for a lot of people,that's gonna be something that's
gonna be a huge opportunity.
If you can focus ontransformation and answers for
people, um, it's gonna be power,power, powerful.
SPEAKER_00 (34:53):
Yeah, I agree.
SPEAKER_02 (34:54):
Yeah.
SPEAKER_00 (34:54):
You know, I think um I read this recently, and maybe
we'll close with this, but it'sthat AI can't replace people.
It can only replace people whoact like machines.
It's like, oh so if you're in arobotic, repetitive space, get
out.
Yeah.
You gotta lean into humanity andwhat makes you human.
And so for us, I think that themore human you become, the more
(35:17):
valuable you actually become.
I think that's really, really,really powerful.
Now, Chris, before we end, whatis our call to action?
Because we gotta, we gotta, wegotta move our people to do
something.
I think we should have themwatch the 1000 true fans
episode.
SPEAKER_01 (35:33):
Yeah.
SPEAKER_00 (35:34):
Where you're gonna actually learn how to build an
audience of real, absolutelyloyal buyers who love everything
that you put out and can't waitto buy it.
SPEAKER_02 (35:45):
Yes.
The reason I think that's thatis a really solid point is
speaking with specificity, as Imentioned with the new AI
algorithms, it's gonna beeverything.
Yeah.
Secondarily, people are gonna beusing, we talked about AI tool
stacks, right?
People are going to go toChatGPT or they're gonna go to
Grok or they're gonna go toClaude, whatever they use, and
be like, write me a sales page.
And you know what?
(36:05):
They're gonna all soundsoulless.
They're gonna sound the same.
And if you can figure out how toutilize that opportunity to
speak with clarity, you will besignal in a sea of noise.
Yeah.
And so those focusing on those1,000 true fans and speaking to
them and knowing exactly whothey are.
We literally will talk to peoplelike our clients and we'll say,
(36:27):
okay, let's use this messagingto this specific avatar and
let's get really refined onthat.
They'll see an increase ofsometimes like half a million
dollars in revenue, and theydon't even change anything else
they've been doing.
Yeah, they don't start doingmore content.
It's not like they just waved amagic ad wand or they just hired
some guru.
Like they literally just changedtheir positioning, changed their
messaging, and focused on whotheir person was, and just being
(36:50):
able to present in that wayliterally made all the
difference in the world.
Now, again, imagine that.
I know I keep harping on thisbecause I get excited about
algorithms.
But now imagine you're doingthat and you're giving these new
AI algorithms ammunition to gofind who those people look like
because you're the person that'sspeaking with clarity.
Now, what's gonna happen is thisreally important.
The people that are using, andplease don't find yourself in
this camp because I promise youyou're gonna hear, you're gonna
(37:11):
reach out to us in a year and belike, you were right.
I'm not seeing any benefit atall from these AI algorithms you
talked about.
Because what's gonna happen?
People are gonna do what we callslop content.
They're gonna literally just dowhat I said, they're gonna go to
chat, write me a sales page,whatever.
Well, here's what's gonnahappen.
These out these AI algorithms,they're not going to give
preference to this AI slobcontent because it all sounds
the same.
(37:31):
The stuff that's differentiated,the stuff that's with clarity,
the stuff that actually hasmeaning and purpose that people
are resonating with, that'swhat's gonna get priority in the
algorithms.
So, really important that youdon't make that mistake and fall
into that trap.
So when you build your techstack, make sure that everything
is still based off you.
It's Jarvis.
There's always Tony Stark.
Tony doesn't start working forJarvis.
That's not how it works.
Like you are always gonna beTony Stark.
(37:52):
I'm a huge nerd, I'm sorry.
But you are always gonna be TonyStark.
Use the tools, leverage them toyour ability, speak with
clarity, and identify who thosethousand fans are and speak to
those people.
And literally, I think you'regonna win bigger, bigger than
you ever have before.
I really believe that.
SPEAKER_00 (38:04):
I love it.
So we're gonna link to thatepisode in the show notes in the
description below if you'rewatching on YouTube.
And then also it's gonna be heresomewhere on the screen.
Go watch it now because it'salso gonna show you the only
three types of content that youneed to be creating and how to
leverage AI to make it happen.
All right.
So we love you guys.
Let us know what questions youhave in the comment section
(38:24):
below.
We're always reading them andusing them as future episodes.
So we want to hear from you.
Thank you for being here.
Don't forget to give this videoa thumbs up and subscribe.
Like 80% of you guys who watchour videos are not subscribed
yet.
All right.
So help us out.
This is the best possible waythat you can uh show support and
of course come work with usinside one of our group coaching
(38:45):
programs.
All of that info is gonna bebelow uh in the description.
We love you.
We'll see you in the next one.
Um beso.
Bye for now.
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