The Old Job Deal Is Gone: AI, Hiring, and Who Owns the Agents (Full)

Jerremy Newsome: 00:00:00

The deal was simple.

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Go to school, get the degree,

land the job, build the life.

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But that deal is gone.

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And the machine that ran it, the job

boards, the hiring process, the whole

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climb up the ladder is breaking down fast.

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Fake jobs, flood the boards.

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The trades pitch that everyone's pushing.

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Yeah.

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Well, year one starts around $35,000 and

not the six figures that people actually

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need to live this life and this economy.

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Right now.

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My name is Jerremy Alexander Newsom

with my co-host Dave DC Conley, and

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this is solving America's Problems.

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Today we have Ryan Kohler built the

system, one of the top applicant

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tracking tools in the country two

decades, watching how hiring actually

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works, not how it's just sold.

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And Sarah Montana, who is a wellness CEO.

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Both Ryan and Sarah are parents of

six children, ages 16 to 24, who

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had to rebuild from scratch when

the old rules stopped working Ryan.

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Sarah, welcome to the show.

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Ryan Kohler: thanks

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Sarah Montana: you.

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Ryan Kohler: us.

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And just to clarify, Ryan has three

kids and Sarah has three kids.

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Jerremy Newsome: Fair.

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Yes.

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Ryan Kohler: mother all six.

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Jerremy Newsome: Very, very good point.

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Very, very good.

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Ryan Kohler: kids.

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they don't take much to

mothering or fathering.

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They kind of are, they're

very similar to me.

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Jerremy Newsome: love it.

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Ryan Kohler: think some of her

kids might take the same thing.

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They, they

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Jerremy Newsome: course.

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Ryan Kohler: they don't take

well to being told what to do.

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Jerremy Newsome: love that.

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No, I love that as it

should be, as it should be.

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but yeah, thank you for that update.

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Thank you for letting everyone know.

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Ryan, so this is cool, man, right?

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You spent 20 years building the

infrastructure that connects

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workers to employers, so let's

call it applicant tracking,

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Ryan Kohler: Mm-hmm.

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Jerremy Newsome: distribution,

talent referral, watching millions of

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postings and applications throw flow

through the systems that you built.

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When did you first realize the deal

workers thought they were navigating,

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wasn't actually the deal being offered?

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Ryan Kohler: You know, I think it,

I don't know that we're clearly at

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that point yet, but it's coming.

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Right.

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I think that's the loud shouting

that happens when when we search

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for why there's a problem.

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I mean, clearly if you look

inside of it, you see both the

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problem and the solution, right?

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Jerremy Newsome: Mm-hmm.

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Ryan Kohler: we were, I

probably went through.

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Four different recessions.

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If you think about the hiring world,

going from like high unemployment

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to low unemployment, shortages of

workers, overabundance of workers

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is kind of back and forth flow.

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you start to see like right off

the bat the easy stuff, like a job

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description is what an ad is, and, and

that really is like this entire list

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of requirements and qualifications and

duties with no prioritization at all.

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Right.

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start off with that.

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It's in fact, you start right before

it, it's called a requisition.

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When, when a manager decides, this is

what comes before the public sees, when

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a manager decides we wanna hire somebody,

they fill out a requisition form.

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That's the same thing you fill out to

buy a piece of equipment, requisition.

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Right?

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Jerremy Newsome: Yeah.

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Ryan Kohler: and really the way

the industrialist economy was

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set up was that, we were going

to train a, a giant workforce of

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people to do what they were told.

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By the adult in the room and the adult

in the room was the teacher and then

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the career advisor and then the boss.

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so that's kind of what we trained

them to do, was to do what we were

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told and therefore we're gonna

requisition another employee,

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Jerremy Newsome: Wow.

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Ryan Kohler: another person,

another piece of labor.

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You know, our economic system

is just a giant labor arbitrage.

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we pay low for a, a certain

amount of workers to do stuff.

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We take and bundle their shit together

and we sell it for a higher price.

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And the difference in there is profit.

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Welcome to the American economy.

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Jerremy Newsome: That's right.

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It's a good breakdown too,

and I appreciate that insight.

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Sarah, for you, take us back to the moment

you decided to step back from being all in

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and chase balance at the Omega Institute.

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What did that decision reveal

about the deal that you had

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been actually living under?

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Sarah Montana: Interesting.

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yeah, so I don't like, same thing.

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I don't know that I'm fully there yet.

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I definitely had an aha of, you know,

trying to do everything and be everything

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and, you know, working all the hours

and, and not necessarily being there.

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when my, you know, for my kids

and things like that, I had gone

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through a divorce and I wanted to

be able to be present for my kids.

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and yeah, I don't know.

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That's a good que good question.

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I dunno that I've arrived there yet.

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But, definitely, doing my best.

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Ryan Kohler: I think that, you know, the,

the balance thing is super interesting.

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that, at least for me, was ever the goal.

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I wasn't looking for balance

in life or anything like that.

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And I think both of us, built

our companies around our kids.

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You know, meaning like, if you

think about, so we're starting this,

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college club down in Southern Cal

called the ai, the AI Garage, right?

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And you think about all the stories

of like all these founders who

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started up in their garage, right?

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Steve Jobs in the garage, whatever.

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So I started my company and ran it

during those early days above my garage.

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And above my garage was my kids'

playroom and where I was working.

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And so I had an office

next to my kids' playroom.

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And so I'm consuming like Hannah

Montana and blues clues and the

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progression of my kids growing while

I'm working and they're consuming,

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Hey, this is Ryan from Applicant Pro.

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And my kids would be in the car, we'd

be going someplace and the phone would

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ring and I'd answer the phone and my kids

would be in the back making fun of me

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going, oh, it's Ryan from Applicant Pro.

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Like they, I didn't find this.

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Like, work is work and home is home.

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It was much more like this is, me and

I am my creation that I'm creating.

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And therefore it is expressed

everywhere all the time.

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Even if you hate it.

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I'm just an expression of,

of the act of creation.

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It doesn't turn on and off.

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So my kids know, like applicant pro

and what I talked about and what

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job boards are and those things

'cause they didn't have a choice.

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like Hannah Montana mixed with like this

flow of dad talking to Indeed to feed

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his jobs over or me ranting on video.

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it's actually how I, how I, program

my kids is instead of telling them

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what they should do, I pay them to

video tape me and edit my videos.

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It's kind of this subliminal,

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Jerremy Newsome: Yeah.

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Ryan Kohler: education

that I have going on.

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Jerremy Newsome: Which I love, man.

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That's that's really cool.

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It's a sneak, sneak

attack on the cerebral.

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Ryan Kohler: A

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Sarah Montana: Yep,

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Jerremy Newsome: Yeah.

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Yeah.

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So discussing the children, right?

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Both the two of you, you have six kids.

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Between the both of you,

three and three, on each side.

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Walk us through then maybe either the

subliminal or direct conversations

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that you're having with them about

what comes after high school and the

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conversation, about the deal that

they might be inheriting or what

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that looks like from a job workforce.

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Perspective.

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Sarah Montana: go ahead.

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Ryan Kohler: yeah, I think that

right there, we were trained to look

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for somebody to plot the course and

to tell us what to do, and I think

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that's the, the default break that's

happening right now is like when, when

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chaos comes, when change comes, when

a big impact comes, like our default

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break is we're looking for somebody.

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To say, Hey, don't worry guys,

you're gonna do this, this, and this.

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Here's the rules, here's

what you need to do.

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Whatever the case may be.

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and that, so that's problem set number

one, we're looking for somebody,

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and you can hear it in the voice.

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Somebody should, somebody

should stop these AI companies.

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Somebody should stop the data center.

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Hey, they should, all of those, that

phraseology is very much a, am not

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in power, adult, a organization, the

powers that be need to solve for this.

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And it was part of our training.

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And so for me, the very first part

is like, and so I oh, the world's

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trained to shit and AI's super

chaotic and my job's gonna go away.

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And so I fill in the blank,

whatever that deliberate action is.

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And I think the second part is, the main

difference between people who are ahead of

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the game on AI those who are behind is the

same as those who are ahead of the game.

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On the internet.

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Well, I entered the

internet space in oh one.

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I quit my accounting job and started

building websites and doing web marketing.

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And the same first principles hold true.

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The ones that were ahead were

not consumers of the technology.

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They were not users of it.

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They created and built with it.

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if you think back to how many people were

super excited about the internet, and

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I'm a user of eBay versus how many were

selling something on eBay, how many were

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using these cool new websites and how many

we're building That one divider is easily.

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And so you look at what we do with our

kids, well, we teach 'em how to vibe

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code, and we have them, you know, Sarah's,

Sarah's like 70-year-old dad and her

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like 15-year-old son are both using

the same tech to build apps literally

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this week that the, I'm building an an

expression of a solution to a problem.

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Versus I used it to find

out where to get pizza.

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Sarah Montana: Yeah,

it's really interesting.

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even the age of the kids of like, and

you know, like one of my youngest was

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in our, in our home spending time with

us of like, while we were unpacking

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AI and learning all of those things

versus like my daughter who actually

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got to work for Ryan for a while and

got to actually experience what it was

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like to be in an AI first organization.

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And then like my middle son is going

into being a paramedic and a firefighter

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and is, you know, doing those types of

things and is like fighting me saying

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like, Hey, we're not gonna do AI charting.

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and then, you know, three weeks later he's

like, oh, actually you were right mom.

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but I think that's an interesting

one of like, my 22-year-old is

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not going to college and that's

a difficult thing as a mom.

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Like I went to college and it's like,

okay, but am I actually using my degree?

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And it's a difficult like

thi going through of like.

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Like, do I blame her?

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Like she is outgoing and she's super

smart and she understands AI and

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she's good at sales, and so it's like,

yeah, unless you have this career

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trajectory of being a doctor, of being

something like that, I don't blame her.

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And she's doing really well

and she's looking for career

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advancements, and necessarily know

that she's following the wrong path.

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Ryan Kohler: Whereas my kids

are in college, like I went to

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college because I need, I needed

to check the box from my mom.

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And I think one of the challenges

you have is a lot of kids, like

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if I get kids asking me like,

okay, but do you use your degree?

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They're like, you, you

got an accounting degree.

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And an MBA and then you quit your job like

a month later and started building web

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companies and building software companies.

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And they have this heart, they're

looking for a, a linear connection.

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equals this.

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So Ryan, do you wish you

hadn't gone to college?

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And the answer is no.

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And the reason isn't because I

learned amazing stuff in college.

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It had to do with a confidence

level that came from my

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ability to recover a downturn.

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I could go get a job, literally,

I bet I could walk outside

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and go get a job this week.

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And part one is that the people making

the hiring decisions, have a subconscious

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reason to protect the status quo.

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it's, it's one of the reasons it's sad,

but, you know, everybody says AI is gonna

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like, create this new entrepreneurial

world, which could be true except

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entrepreneurs tend to be rebels.

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Who go against the grain and go against

the system almost to prove people wrong.

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And that's not normal.

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But more importantly, most of the time

when you show up in your, in your life

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around people who aren't entrepreneurs

or who aren't college dropouts who decide

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to take another path, your success going

against the grain potentially challenges

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them going, did I make the wrong decision?

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And so, a well-meaning parent

will say, no, you should go

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to college, yada, yada, yada.

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You can't just have a,

a job that you love.

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I don't love my job.

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But really what they're saying is,

I'm trying to make it seem like

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I'm protecting you, Jerremy from

setting yourself up for failure.

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But what I'm really saying is, what

if my kid has the perfect thing?

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What does that mean

about my bad decisions?

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But, so right now, from my

perspective, the majority of people

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being hired are most likely being

hired by somebody with a degree.

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Which means we have bias

towards that meaning something.

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It's more of being pragmatic unless you're

going to become a doctor to say, okay,

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what's the value of being in this space?

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Well, I'm learning how to

navigate the world without

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somebody telling me what to do.

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I'm making choices.

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I'm around other people.

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I can organize activities.

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Like my challenge with college is

you shouldn't be, it shouldn't be

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a learning or a linear thing of I

have to learn and then I can earn.

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Dave: Hmm.

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Ryan Kohler: And when I was in college, I

was doing accounting and accounting job.

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While I was studying accounting,

I wasn't at Starbucks.

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That progression of a kid these

days isn't good enough or smart

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enough, yet he has to have this, this

kid job while he gets his degree.

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Then he gets done and he is like,

nobody's offering me the next job

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'cause I don't have experience doing

what I just learned could have been

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solved for with a part-time job.

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Doing bookkeeping or doing marketing

while they were in college.

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But that's not the way that

we've tuned the system.

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And the adults right now are saying,

you're not like, the kids know it.

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I was just on campus.

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They're like, I'm not

qualified to do marketing.

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I'm like, the marketers who

are doing marketing or adults

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aren't qualified either

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Jerremy Newsome: Yeah.

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Ryan Kohler: this, but we've

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Jerremy Newsome: Yeah.

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Ryan Kohler: into their brain

that they aren't good enough yet.

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Like that's super messed up.

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And so that's the question is, can

you get them in adult situations

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adults where they can start to become

adults, where they can actually get

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to know people and build a network.

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The kids coming out top colleges have

potential value because of their network,

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Jerremy Newsome: Yeah.

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Ryan Kohler: right?

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Jerremy Newsome: Yep, of course.

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Ryan Kohler: those top colleges, right?

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Jerremy Newsome: Yeah.

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The network is your net worth.

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Go ahead Dave.

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Ryan Kohler: If you kick back

to the job boards, Hey Dave, if

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you kick back to the job boards.

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Like the, the thing that stops people from

getting jobs right now is that one tune

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that everybody hates, which is, it's not

who, what you know, it's who you know.

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The job boards aren't getting you a

job because there's no credibility

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when you apply through them.

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Being a referral right

now, probably 30 xs.

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The chances of getting an interview, being

a referral like that, that one thing of,

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it's who you know, it's just offensive

that who you know, gets you in the door.

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If you're great at something.

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Dave: So some of the things I'm hearing,

and maybe I think for our audience,

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it's not only parents talking to their

kids, but it's also for, people who are,

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you know, wanting to change their jobs

or, or, looking for a new job you're,

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you're, you've taught your kids to be

creative, and to, to create options.

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Like it's, it's creating

options, not being narrowing,

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but you know, opening lens.

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teaching them what to think, not

how to, or no, you're teaching them

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how to think, not what to think.

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You're really driving a certain amount of

emotional intelligence and, intelligence,

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you know, like the networking.

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These are the kind of the themes

I'm, I'm hearing from you.

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Would you agree with that

or did I miss something?

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Sarah Montana: I agree with that.

311

: 00:15:56

especially when it comes to ai.

312

: 00:15:59

you know, I think that right now it's

being by the teachers and lots of

313

: 00:16:04

people are thinking that it's cheating

for these, for these, for these

314

: 00:16:08

students and things like that of, oh,

if I use this, I am, I'm cheating.

315

: 00:16:13

And, you know, my 15 to 16-year-old

now, he's spent enough time with us of

316

: 00:16:18

like, no, this is a thought partner.

317

: 00:16:20

This is allowing you to expand

your already creative mind.

318

: 00:16:25

You know, so it's like he's built, he's.

319

: 00:16:27

active in, doing marathons

and, doing things in, tennis.

320

: 00:16:32

And he, you know, really

likes to listen to podcasts.

321

: 00:16:35

And so he's building an app right now

of, tracking all of those habits and then

322

: 00:16:40

doing things with his friends that he can,

essentially gamify having good habits.

323

: 00:16:45

And so, you know, that's what my younger

generation, but yet my, my 20-year-old,

324

: 00:16:50

18-year-old, he thinks that it's

cheating and he doesn't want to use it.

325

: 00:16:55

And so there's that difference of like

the time that they've spent around it.

326

: 00:16:59

and so I think changing that

paradigm has been important for me

327

: 00:17:03

to allow them to know like, Hey,

it's okay as long as you're using it.

328

: 00:17:06

It does, it's not making you

dumber, it's making you smarter.

329

: 00:17:10

Ryan Kohler: Yeah.

330

: 00:17:10

Well, and I, I think it, what

you're hearing is the echoes

331

: 00:17:14

of all of the noise and voices.

332

: 00:17:17

It's cheating, it's wrong.

333

: 00:17:18

Like something you brought up Dave.

334

: 00:17:19

Like the way, let me, like, if we

reset for everybody to hear this

335

: 00:17:23

just, and it's gonna be harsh, but

like what you said was you, for some

336

: 00:17:27

people who might be looking for a job

or wanting to or going to No, no, no.

337

: 00:17:31

Like, like forget what all the

big, tech bros are saying that

338

: 00:17:35

all these jobs are going away.

339

: 00:17:36

Here is the one constant that no

matter what you can take to the

340

: 00:17:39

bank, every job in America is

going to be changed and impacted.

341

: 00:17:45

Period.

342

: 00:17:46

Full stop.

343

: 00:17:47

That's it.

344

: 00:17:48

Not, not by choice, not

because you wanted to.

345

: 00:17:51

It is going to fundamentally be changed.

346

: 00:17:54

Because of ai, for better,

for worse, is immaterial.

347

: 00:17:57

It is going to be changed.

348

: 00:18:00

So if you think it's a choice, I can

choose not to, can choose not to evolve

349

: 00:18:07

with the economy a hundred percent.

350

: 00:18:09

You can make that choice, but

you're gonna choose your hard here.

351

: 00:18:12

And your hard choices are going to be, I

could lean in today and I could become the

352

: 00:18:16

best at this seeing of everybody I know.

353

: 00:18:18

Or I can wait and I can deal with

the downside of being the worst

354

: 00:18:24

at it and all repercussions.

355

: 00:18:26

And both of those are hard.

356

: 00:18:28

They're extremely hard, right?

357

: 00:18:30

I can lean in and learn new things

when everybody is anti for it.

358

: 00:18:33

I can make my deliberate choice of,

I'm gonna learn and dig into this.

359

: 00:18:37

I'm gonna run this reps and run the cycles

and figure out how to create with it.

360

: 00:18:40

Or I can stick my head in the sand.

361

: 00:18:43

And I can, you know, you know, pick it.

362

: 00:18:46

I can sign a pledge.

363

: 00:18:48

I can say our government should

stop letting AI data centers happen.

364

: 00:18:51

I could try to get the man to slow

down the progress of humanity, which

365

: 00:18:55

has never happened, has never worked,

366

: 00:18:59

Dave: I

367

: 00:18:59

Ryan Kohler: will never work.

368

: 00:19:01

Dave: uh.

369

: 00:19:01

Ryan Kohler: There's zero chance, right?

370

: 00:19:03

Of slowing down a zero sum game with a

thousand x potential ROI For countries,

371

: 00:19:11

for businesses, for business leaders, for

people, there's zero chance of stopping or

372

: 00:19:15

slowing that like this is, this is a, it's

like trying to stop waves in the ocean.

373

: 00:19:21

Dave: That

374

: 00:19:22

Ryan Kohler: They're going to come and

they're gonna get bigger and vinegar.

375

: 00:19:24

You just need to decide, are you gonna

pick a wave to paddle into are you gonna

376

: 00:19:28

ride the wave or are you going to sit

back there and be like, nah, not this one.

377

: 00:19:32

Nah, I'll wait until they get bigger.

378

: 00:19:33

I'll wait until they get smaller.

379

: 00:19:35

I'll wait till they get perfect.

380

: 00:19:36

I'll wait, I'll wait,

I'll wait, I'll wait.

381

: 00:19:38

Right.

382

: 00:19:38

That's the only deliberate choice that

everybody in America can make right now.

383

: 00:19:43

I gonna wait or am I going to take a step?

384

: 00:19:46

That's all.

385

: 00:19:48

Dave: this is a powerful lesson.

386

: 00:19:49

you know, when I was in corporate back in

my day, as, as Jerremy likes to kid me,

387

: 00:19:55

you know, like I had 350 people across 12

time zones and a billion dollar budget.

388

: 00:20:01

And today, you know, like I'm, I'm

running this podcast, doing, you know,

389

: 00:20:06

other work in, in Jeremy's, you know,

other parts of Jeremy's business.

390

: 00:20:10

I know that, you know, if I were

in the same position back in

391

: 00:20:14

corporate, I'd have maybe five

people max, you know, like maybe

392

: 00:20:18

eight, you know, depending on things.

393

: 00:20:20

There's so many things I would not need.

394

: 00:20:22

And those five or eight people, you

know, like the work that I do with

395

: 00:20:25

Jerremy, the work we do together,

you know, it's me, it's, it's me

396

: 00:20:28

and, and screens in front of me.

397

: 00:20:30

like I do not need a team of

people to do what I do and, and

398

: 00:20:35

make a difference in the world.

399

: 00:20:36

So that is a.

400

: 00:20:38

You, you know, I think Ryan, you,

you said it beautifully, which is

401

: 00:20:42

like, this can either, this can

either happen to you or for you.

402

: 00:20:47

And it, you know, this is the moment

that you, you need to choose now, not

403

: 00:20:51

in a year because it's moving too fast.

404

: 00:20:53

And, if you feel like it's already too

late, it is, you know, like, it, it was

405

: 00:20:58

two years ago and it didn't, and it's too

late now because it is moving so fast.

406

: 00:21:02

It's too late for everyone.

407

: 00:21:04

So, you know, get on the train

or you will be left behind.

408

: 00:21:08

Ryan Kohler: Yeah.

409

: 00:21:08

if you just take, add one extra phrase

to that, I know that's like a, I

410

: 00:21:11

don't know, Tony Robbins or had my let

saying, or whatever the case may be.

411

: 00:21:14

Like, I like to like extrapolate

that one more step because even

412

: 00:21:18

the two you, for you, implies that

it's happening not by your choice.

413

: 00:21:25

you're choosing the

meaning, not the happening.

414

: 00:21:27

And so I think if you add one

more that it happens from you,

415

: 00:21:30

Dave: Uh.

416

: 00:21:31

Ryan Kohler: right?

417

: 00:21:31

Like the world is created from the, at

least for me, and people may not love

418

: 00:21:36

it in my sphere, but I am like a force

of energy the world is created, my

419

: 00:21:42

reality comes from my deliberate action.

420

: 00:21:47

Like, that's, that's just what it, I mean,

that could be egotistical or whatever,

421

: 00:21:50

but, but that's kind of the, the approach.

422

: 00:21:52

And so if you take, like, most

people right now are sitting here

423

: 00:21:55

going, okay, cool, so Ryan says

I should take deliberate action.

424

: 00:21:59

I should decide to lean into ai, and

that brings you to the area next problem.

425

: 00:22:04

Which then they're like, okay,

but there's so many things and so

426

: 00:22:07

many platforms and so much noise.

427

: 00:22:08

And last night we were having a discussion

here in our backyard with somebody

428

: 00:22:12

and they're like, well, like if I map

out and it takes me like six months to

429

: 00:22:15

build a business with AI and I'm gonna

learn it, I'm gonna figure out, you

430

: 00:22:18

know, manna or, or coworker, whatever.

431

: 00:22:20

And when I get there.

432

: 00:22:22

It will be different.

433

: 00:22:23

Like everything will change

and it will be of worthless.

434

: 00:22:26

Like, like I'm, we're, we're in this

new thing where it's moving so fast that

435

: 00:22:31

we don't want to make the wrong choice.

436

: 00:22:35

So we wait.

437

: 00:22:36

We're like, well, I'll just

wait for it to get better.

438

: 00:22:38

I mean, it's, it's

progressing and evolving.

439

: 00:22:41

And the problem is, is that a AI really

to boil it down simply is just like

440

: 00:22:46

a tool that completes your sentence.

441

: 00:22:49

So that's the way that

we think about this.

442

: 00:22:50

Just like you have your side of the

sentence, which looks like an equation,

443

: 00:22:53

like an algebra equation, and you have

its answer, which is it's response.

444

: 00:22:58

And so as we wait for it to get

better at responding, missing that.

445

: 00:23:03

We need to get better at our input.

446

: 00:23:04

It's like a, a best friend with

amnesia that's never met you before,

447

: 00:23:08

and then we're pissed that it doesn't

know how to complete our sentence.

448

: 00:23:11

So we just keep waiting for it to get

better instead of us getting better.

449

: 00:23:16

And so if you think about it in those

terms where you go, wait a second,

450

: 00:23:19

no, this is a technology and it will

evolve, principle of what's there

451

: 00:23:25

will be that the better I get with

it, the better my mental models of

452

: 00:23:28

how I use it, the more practice I get.

453

: 00:23:31

Like we just think, know, it's so

funny that, athletes who, let's take

454

: 00:23:35

a pro golfer as a good example, like

think about how much time they spend

455

: 00:23:39

practicing versus playing in a tournament.

456

: 00:23:43

But us workers don't

spend time practicing.

457

: 00:23:46

only show up to the game.

458

: 00:23:48

assume that we will be able to just

keep showing up to write the email

459

: 00:23:52

with ever practicing writing the email.

460

: 00:23:55

We assume that we'll be able to build

a brand new app without actually

461

: 00:23:59

practicing and creating a junkyard.

462

: 00:24:02

Of other apps that have been built,

I believe, I bet between me and Sarah

463

: 00:24:05

right now, we probably vibe coded.

464

: 00:24:07

And by vibe coding we mean using AI

to speak something into existence.

465

: 00:24:11

Meaning like speaking a interactive web

deck, an interactive presentation, a

466

: 00:24:16

calculator, a actual website, a piece of

web software, whatever the case may be.

467

: 00:24:21

I would bet at this point, which

we really only started doing this

468

: 00:24:23

maybe what, six months ago, Sarah?

469

: 00:24:26

Sarah Montana: I mean

the platform type things.

470

: 00:24:28

Yes.

471

: 00:24:28

Ryan Kohler: Six to 12

months of actually that.

472

: 00:24:30

hundreds.

473

: 00:24:32

Hundreds of, and are any

of 'em gonna make money?

474

: 00:24:36

Like a bunch of 'em Probably never

will see the light of day, but the

475

: 00:24:39

practice and the methodology that

says, now I could go from zero to

476

: 00:24:43

something built in 20 minutes with one

prompt that didn't come on day one.

477

: 00:24:50

It came through like sharpening my saw,

478

: 00:24:54

Sarah Montana: I think that's.

479

: 00:24:56

Ryan Kohler: hit

480

: 00:24:56

Sarah Montana: think that's

something that's interesting right

481

: 00:24:58

now within in businesses, I hear

it when I go in and consult with

482

: 00:25:02

organizations is this token cost.

483

: 00:25:06

are worried about spending time

iterating because it costs tokens.

484

: 00:25:12

And so if you're, you know, in the

organization you have people that

485

: 00:25:16

are like wanting to learn ai, but

they're gonna go use a cheaper

486

: 00:25:20

platform or a dip floor platform

because they don't wanna waste tokens.

487

: 00:25:24

But they need to realize that that

process of learning is what is

488

: 00:25:29

going to eventually, help them get

a better job, help the organization

489

: 00:25:33

grow and scale all those things.

490

: 00:25:35

So there needs to be this

paradigm shift that, you know,

491

: 00:25:38

using tokens is, is learning.

492

: 00:25:42

Ryan Kohler: Yeah, I think we just

as Americans have been fed easy.

493

: 00:25:47

Jerremy Newsome: Yeah.

494

: 00:25:47

Ryan Kohler: fed easy.

495

: 00:25:48

There's a button, like right

behind me is like 40 light bulbs.

496

: 00:25:51

It took him 10,000 shots.

497

: 00:25:54

To get that shit, 10,000 on gold

to get to the one that worked.

498

: 00:26:01

Imagine the average American, the

persistence it requires to keep

499

: 00:26:06

pounding against this problem

set of, I'm gonna make this work.

500

: 00:26:11

We have been fed these stories of

like, and then I launched Facebook and

501

: 00:26:15

it was an overnight fucking success

when in actuality it was a thousand

502

: 00:26:20

shots on goal over and over and over.

503

: 00:26:23

We just only hear the story like

chapter 20, like, that's what

504

: 00:26:28

we've been fed, is that like, oh

my gosh, it was so easy overnight.

505

: 00:26:32

Yeah.

506

: 00:26:32

This overnight success took me

10 years get to the point where I

507

: 00:26:37

had a million dollars in revenue.

508

: 00:26:38

Jerremy Newsome: Yeah.

509

: 00:26:39

Ryan Kohler: Just look at the trajectory,

and by the way, to build a software

510

: 00:26:42

company that gets to a million dollars

in revenue, that's like a one in 10 shot.

511

: 00:26:47

company that gets to 10

mil, $10 million in revenue.

512

: 00:26:49

That's a one in a hundred shock.

513

: 00:26:52

To get to a $40 million

revenue run rate, that's like a

514

: 00:26:56

fraction of a percentage shot.

515

: 00:26:59

That is not, I woke up yesterday and

oh my gosh, we built the first billion

516

: 00:27:03

dollar company with one fricking employee.

517

: 00:27:05

Yeah.

518

: 00:27:05

Trust me, that dude, he's taken a

thousand shots on goal before this

519

: 00:27:09

and the world, and I, trust me, that

wasn't his first shot at NAIH and,

520

: 00:27:12

and he wasn't sitting there going, oh

my gosh, I'm burning too many tokens.

521

: 00:27:17

Like we just, we've overindexed

on how easy it's gonna be.

522

: 00:27:20

Jerremy Newsome: Yeah.

523

: 00:27:21

Yeah, that makes sense.

524

: 00:27:23

so Ryan, Sarah has a thought

experiment, which should be fun.

525

: 00:27:26

If we had to

526

: 00:27:28

Ryan Kohler: I.

527

: 00:27:28

Jerremy Newsome: steelman the case that

AI creates more jobs than it destroys, I.

528

: 00:27:36

What would that, what

would that look like?

529

: 00:27:37

Make the strongest version of that

argument if you can, and I'll,

530

: 00:27:41

I'll give you a frame of reference.

531

: 00:27:42

The Industrial Revolution, right?

532

: 00:27:45

We go from 99% of the world being

agrarian, farmers, planters,

533

: 00:27:51

harvesters, pickers, right?

534

: 00:27:52

To now less than 1% of the world.

535

: 00:27:55

And that really happened in mid

: 1940

536

: 00:27:59

1% of the world becomes agrarian.

537

: 00:28:02

What if it creates more jobs?

538

: 00:28:04

And, and then again, to your point earlier

you said it's just gonna impact them.

539

: 00:28:07

You didn't say yes or no positive

or negative, but a lot of people are

540

: 00:28:11

saying, AI is gonna take all the jobs.

541

: 00:28:13

It's gonna move everything.

542

: 00:28:13

But what if it actually makes more, what

does that, what world does that look like?

543

: 00:28:17

Ryan Kohler: So I'll give you the two

cases, and it depends on who, pulls

544

: 00:28:21

the lever, who's in power, right?

545

: 00:28:23

Jerremy Newsome: Fair.

546

: 00:28:24

Yeah.

547

: 00:28:24

Fair.

548

: 00:28:25

Ryan Kohler: because we also have a

brand new economy that's about ready to

549

: 00:28:28

be created that we haven't even thought

of, called the moon and space, which

550

: 00:28:33

is a completely different economy.

551

: 00:28:36

a completely new space, right?

552

: 00:28:37

So there are new spaces

we'll open up, but here's.

553

: 00:28:40

The real question would be, who

is the one leading the charge?

554

: 00:28:44

And those who lead the

charge capture the value.

555

: 00:28:47

So given our current trajectory of

American 1% driving, of capturing the

556

: 00:28:54

value and taxing the economy on this,

if you leave it up to the powers of

557

: 00:28:58

B, the investor class and the tech

class, they're going to consolidate the

558

: 00:29:02

power of AI and therefore consolidate

the gains from the value period.

559

: 00:29:09

So the reason why AI is going to destroy

jobs is because those at the top are

560

: 00:29:14

the ones investing time, money, effort,

energy, to use the new technology to

561

: 00:29:20

solve a problem that they feel they have,

which is the human is a tax on profits and

562

: 00:29:25

we're tired of these fucking employees.

563

: 00:29:27

And how hard it is that they wanna

take a day off, is the trajectory

564

: 00:29:31

we're on Based off of that, they're

going to replace humans with agents.

565

: 00:29:37

Period.

566

: 00:29:37

Full stop.

567

: 00:29:38

That's what they're going to do.

568

: 00:29:39

Now, there is another world of that,

and that is, well, if at the bottom

569

: 00:29:43

layer, the individual employee goes

first, learn AI for themselves.

570

: 00:29:48

They build agents for themselves.

571

: 00:29:50

They take more independence and

responsibility for building these tools.

572

: 00:29:55

Because in most companies,

your boss is an idiot.

573

: 00:29:58

The managers are douches.

574

: 00:30:00

None of them actually

understand AI either.

575

: 00:30:03

So you're at, if you're not in a tech

company, you're at this monumental

576

: 00:30:07

time of who's going to go first and

what, whether you're stoic or however

577

: 00:30:12

you wanna look at this may fortune.

578

: 00:30:14

Find me active and prepared.

579

: 00:30:16

If you want to create luck and

claim value, you go first, not wait

580

: 00:30:20

until somebody else pushes you.

581

: 00:30:22

So if I'm an employee and you wanna

see how does this, if we democratize

582

: 00:30:26

the power and value if employees,

so this year I'm gonna teach a

583

: 00:30:29

million people how to use ai.

584

: 00:30:31

I'm gonna teach them to go first.

585

: 00:30:33

To own the agents, to build their own

agents, to build their own tool set

586

: 00:30:39

that is theirs, not corporate America's.

587

: 00:30:41

If that lower class of worker, not

low class, like literally like from

588

: 00:30:46

a pay scale, if those guys go first,

right now, if they take control of

589

: 00:30:50

ai, they're already building inside

of their own chat GBT accounts.

590

: 00:30:54

It's the progression.

591

: 00:30:56

It's them going, this is good enough.

592

: 00:30:58

If, if they quit saying, my boss

will tell me when I need to do

593

: 00:31:01

this, my boss will pay for it.

594

: 00:31:03

The token use is a great

example that Sarah brought up.

595

: 00:31:05

Like, Hey, look like

that is holding you back.

596

: 00:31:08

We're we're spending, you know, my

kids are spending more on freaking

597

: 00:31:11

Dutch bros and Starbucks than tokens.

598

: 00:31:14

It, it's just a frame of reference.

599

: 00:31:16

Jerremy Newsome: Yeah.

600

: 00:31:16

Ryan Kohler: I spent three

grand a month on token usage.

601

: 00:31:20

I also build like hundreds

of platforms every month.

602

: 00:31:23

It, it's a magic wand,

603

: 00:31:25

Jerremy Newsome: Yeah.

604

: 00:31:25

Getting your reps in

605

: 00:31:26

Ryan Kohler: that's the, the two paths.

606

: 00:31:28

Jerremy Newsome: by the way.

607

: 00:31:29

Ryan Kohler: citizens take control

and say, I will go first, or do we

608

: 00:31:33

lay back and complain and say, the

government should stop these guys

609

: 00:31:37

from doing what they're going to do.

610

: 00:31:40

Jerremy Newsome: Hmm.

611

: 00:31:40

And by the way, great word.

612

: 00:31:41

Great usage of the word doofus.

613

: 00:31:43

I haven't heard that one in a long time.

614

: 00:31:46

Solid vocabulary.

615

: 00:31:47

Yeah.

616

: 00:31:47

Sarah, what about you?

617

: 00:31:48

Ai, it has to make more jobs.

618

: 00:31:50

How is it gonna happen?

619

: 00:31:52

Sarah Montana: Yeah, I think it's

interesting because we're still consumers,

620

: 00:31:56

and so I think what's interesting is

that yes, I think that a lot of the

621

: 00:32:01

organizations are going to have less

employees like that is inevitable.

622

: 00:32:05

But what's amazing about it is that

the individual can go and speak

623

: 00:32:10

their creations into existence.

624

: 00:32:12

So it gives people the

opportunity to go and.

625

: 00:32:17

like, Hey, I don't know

how to build a business.

626

: 00:32:19

I don't know, what I need to do.

627

: 00:32:21

Like build me a marketing team, build

me a CEO, that's smarter than me.

628

: 00:32:25

Like you have the ability to create

the things that you don't have around

629

: 00:32:31

you and put something into existence.

630

: 00:32:33

You can speak a business into existence.

631

: 00:32:36

And so I guess that would be my version

of reality is that everyone takes

632

: 00:32:41

that initiative to, use this as an

opportunity of like, let me build the

633

: 00:32:47

business that I want to create because

there's still consumers out there.

634

: 00:32:51

Ryan Kohler: I think the other

thing is if we, if we want our

635

: 00:32:53

comparable, the problem is what we're

setting out is these two choices.

636

: 00:32:58

can be safe in corporate America

until I'm not safe, and therefore

637

: 00:33:03

I'm giving up my upside.

638

: 00:33:06

For the safety or I can go it alone.

639

: 00:33:08

And we as entrepreneurs, forget

how hard it is to go it alone.

640

: 00:33:12

There's a middle ground.

641

: 00:33:13

If we go back to that, like

farmers used to farm alone

642

: 00:33:17

and then they created co-ops.

643

: 00:33:19

And a co-op was not big

corporate industrialist.

644

: 00:33:22

It was a cooperative these people

working together, sharing the common

645

: 00:33:30

good of all of them in a non-competitive

way to build that power structure up.

646

: 00:33:35

And so really the, if you want the,

here's the course you plot, that

647

: 00:33:40

disrupts the consolidation of power.

648

: 00:33:42

It is step one, you decide,

I'm gonna lean into this.

649

: 00:33:45

And step two, you take proactive

action, start learning.

650

: 00:33:48

And step three, you build your own group.

651

: 00:33:51

You start a book club, you

start a learning club, you

652

: 00:33:53

get other like-minded people.

653

: 00:33:55

The, the real meaning of

mastermind was not guru.

654

: 00:33:59

It was cooperative.

655

: 00:34:01

It was get a group of like-minded people

together working on a common thing.

656

: 00:34:04

IE ai and their brains together as

they share, will create an extra mind

657

: 00:34:11

a, a mastermind there in that room.

658

: 00:34:15

And so if you

659

: 00:34:15

Jerremy Newsome: Yeah.

660

: 00:34:16

Ryan Kohler: path, it is local grassroots

organization of what we're doing.

661

: 00:34:22

A guild that's like, Hey, come

into this builder's guild.

662

: 00:34:24

Let's set up a space.

663

: 00:34:25

Let's get together.

664

: 00:34:26

Let's pool our knowledge and capabilities.

665

: 00:34:29

Let's show each other what we do.

666

: 00:34:31

Let's show and tell and share knowledge

and capabilities so that we can claim

667

: 00:34:37

back the power in an organization.

668

: 00:34:39

Cooperatives were owned by the

members, by big corporate, not by

669

: 00:34:43

the investor class, not by whatever.

670

: 00:34:45

But so if you want the retro throwback,

that's the retro throwback as you go

671

: 00:34:51

back in that instance and you go, cool,

we're gonna create these, these kind

672

: 00:34:54

of loosely assembled cooperatives.

673

: 00:34:57

That are guilds where people

come in and they learn and train

674

: 00:35:00

and we act like a community that

gives a shit about our economy.

675

: 00:35:04

Because what you take the, the younger

class, a great example, if you're a

676

: 00:35:07

college kid right now and you're saying,

this feels like I'm being excluded

677

: 00:35:11

from my future and the economy that,

because that's what it feels like.

678

: 00:35:16

There's 50 million kids

between 16 and 30, right?

679

: 00:35:19

50 million kids who are saying, it feels

like all the adults in the room are

680

: 00:35:24

saying that I'm not necessary or needed.

681

: 00:35:27

Right?

682

: 00:35:28

And therefore I have no opportunity

'cause I need an adult to give

683

: 00:35:31

me permission to get paid.

684

: 00:35:33

that same 50 million kids

currently account for trillions

685

: 00:35:38

of dollars of spending.

686

: 00:35:39

So they just need to stop spending

it by giving it to rich white guys.

687

: 00:35:44

Just take your spending back and give it

to a kid like you, and then go to your

688

: 00:35:47

parents and say, Hey mom and dad, if you

want tell me, pay back my student loans.

689

: 00:35:52

We need to allocate our

resources, our spending.

690

: 00:35:56

At local community based people who are

691

: 00:36:00

Jerremy Newsome: Yeah.

692

: 00:36:01

Ryan Kohler: us,

693

: 00:36:01

Jerremy Newsome: Yeah.

694

: 00:36:01

Ryan Kohler: instantly switch the power

695

: 00:36:03

Jerremy Newsome: Yeah.

696

: 00:36:04

Ryan Kohler: a democratization

of spending power.

697

: 00:36:06

But right now there is a, a class

that is just taxing the economy and

698

: 00:36:12

pulling all this money to the top.

699

: 00:36:14

But that's, we're choosing it for comfort.

700

: 00:36:18

We're choosing it for easy.

701

: 00:36:20

' cause it would be hard to find a

local kid to build software for you.

702

: 00:36:24

It's easy to go buy it from Salesforce.

703

: 00:36:27

It would be hard to go and find a local

person to provide you that thing, and you

704

: 00:36:31

might have to pay a little more for it.

705

: 00:36:32

But it's easy to just

have Amazon ship it to me.

706

: 00:36:35

We've given up our, our independence and

our control over the economy for easy

707

: 00:36:42

Jerremy Newsome: Sarah, did

you have anything to say?

708

: 00:36:43

Go ahead.

709

: 00:36:45

Yeah, there's an Amazon truck outside.

710

: 00:36:47

Ryan Kohler: probably, I.

711

: 00:36:49

Jerremy Newsome: Yeah.

712

: 00:36:50

Well, to your point, I mean, eea easy,

in complacency very often is, it brings

713

: 00:36:54

people into the trap of mediocrity and

they get stuck there for a long time.

714

: 00:36:59

speaking of getting stuck and feeling

anxious and worried, and I'll, I'll throw

715

: 00:37:02

this one over to you, Sarah, and I'll let

Ryan, if you wanna hit back up, let's say.

716

: 00:37:07

A 50-year-old, 58-year-old, even.

717

: 00:37:10

Even better, 58-year-old gets laid

off today they have a 401k that was

718

: 00:37:16

never designed as a retirement, right?

719

: 00:37:18

And they don't have tons of money

in there and they can't touch it

720

: 00:37:21

instantly anyway and is probably too

expensive to rehire at their level.

721

: 00:37:27

They're too young for

Medicare by by seven years.

722

: 00:37:31

And with an age discrimination,

that's definitely real and documented,

723

: 00:37:34

but nearly impossible to improve.

724

: 00:37:37

Where and what does

that person actually do?

725

: 00:37:40

And Ryan, you kind of hinted towards it,

which is great, and I might hear that

726

: 00:37:42

again, but Sarah, what would your advice

be for someone who is in that predicament?

727

: 00:37:47

'cause there's gonna be a lot

of people, they're gonna face

728

: 00:37:48

that coming up very soon.

729

: 00:37:51

Sarah Montana: I do think that just

educating yourself in AI, because

730

: 00:37:55

is going to allow you to get any

type of a job that is better.

731

: 00:38:01

I don't know as far as like, you know,

the, the level of job that they had

732

: 00:38:04

right now, but I definitely think that

starting now, before that happens, before

733

: 00:38:10

you get laid off, before those things

again of just like taking the time and

734

: 00:38:14

energy to not wait and to actually get

in and start using it now, be my advice.

735

: 00:38:20

I don't know Ry.

736

: 00:38:22

Ryan Kohler: Yeah.

737

: 00:38:22

No, I think step one is yeah, a

hundred percent saying how I use this.

738

: 00:38:27

like because they have massive

amounts of knowledge, of process

739

: 00:38:30

Sarah Montana: Yes.

740

: 00:38:31

Ryan Kohler: why AI is struggling

to be adopted isn't 'cause the

741

: 00:38:34

technology isn't good enough.

742

: 00:38:35

It's because we as workers are

not good enough at handing off

743

: 00:38:40

a clear task and project to ai.

744

: 00:38:43

So step number one, there's plenty

of free knowledge out there.

745

: 00:38:45

Like go hit up my refer.io

746

: 00:38:47

channel.

747

: 00:38:48

There's a bunch of free

training on AI there.

748

: 00:38:50

Go watch and then do.

749

: 00:38:51

So that's like step number one.

750

: 00:38:53

Take something that you've done,

preferably take something you

751

: 00:38:55

hate doing and use AI to do it.

752

: 00:38:58

Not this thing you're good

at the thing you hate doing.

753

: 00:39:01

Because when, when we ask AI to

do something we're good at, we're

754

: 00:39:03

kind of hoping it fails because

it would prove that we still have

755

: 00:39:07

worth and value on this earth.

756

: 00:39:09

So find some stuff that you

hate doing and have AI do it.

757

: 00:39:12

That's step number one.

758

: 00:39:13

Step number two, proximity.

759

: 00:39:16

Again, don't wait till that happens.

760

: 00:39:18

Proximity to people with problems.

761

: 00:39:21

That would mean go literally, you

could hit AI to search for it, but

762

: 00:39:24

go find in your local community.

763

: 00:39:26

I guarantee this week I could find a, HR

meetup group, a accountant meetup group,

764

: 00:39:32

a Chamber of Commerce meetup group a, a

home Builder Association meetup group.

765

: 00:39:35

Go get proximity to the local things going

on in there, proximity to people with

766

: 00:39:40

problems with money to pay to solve them.

767

: 00:39:43

The next part is then like quit

thinking in, I need to get a job

768

: 00:39:46

just like this one to replace it.

769

: 00:39:48

Say, how could I get five of these

jobs that are fractional when I drop

770

: 00:39:54

down from big company to small company?

771

: 00:39:56

They can't afford somebody.

772

: 00:39:58

That person you described

has massive amount of context

773

: 00:40:01

and experience and value.

774

: 00:40:04

These smaller companies need that,

but they can't afford to hire them

775

: 00:40:08

time, but five of them could each

pay that person more money per

776

: 00:40:13

hour for less of their actual time.

777

: 00:40:17

And now I'm going to use AI to

build a repeatable process with

778

: 00:40:21

leverage to have those five clients.

779

: 00:40:23

And so that is the logical

progression that they need to

780

: 00:40:26

take of going, wait a second.

781

: 00:40:27

Instead of one company, let me

reset my definition of work.

782

: 00:40:32

I can add massive value to five companies

who are, I'm fractional for them.

783

: 00:40:38

And that only requires

getting one as a side hustle.

784

: 00:40:40

That's a small company, a nonprofit,

just literally anybody, to kinda

785

: 00:40:44

get that juice of how that works.

786

: 00:40:47

The challenge is going to be that

means that even though you're awesome

787

: 00:40:50

at accounting, you're gonna have

to be a marketer slash salesperson.

788

: 00:40:55

Sarah Montana: I think the other thing

789

: 00:40:57

Ryan Kohler: go ahead,

790

: 00:40:57

Sarah Montana: is that, you

know, they have, like Brian was

791

: 00:41:00

saying, the context to problems.

792

: 00:41:02

So whatever organization that they

were a part of, whatever job that they

793

: 00:41:06

were doing, is there maybe a micro sas?

794

: 00:41:10

they could build, that solves a

specific problem for the organiz,

795

: 00:41:14

for the organization and the

industry that they're aware of.

796

: 00:41:17

So don't go try to go learn a whole

new skill, but take the, take the

797

: 00:41:21

context that they had and solve

a very small specific problem.

798

: 00:41:26

I think right now people are trying to

boil the ocean and building all of these

799

: 00:41:30

like massive things, but I think that

the, in my opinion, there are going to

800

: 00:41:35

be a lot of micro SaaS companies that are

created that are solving very specific

801

: 00:41:40

problems for a unique set of people.

802

: 00:41:43

Jerremy Newsome: Yeah.

803

: 00:41:44

Ryan Kohler: to make that super

tangible, let's take that 58-year-old.

804

: 00:41:47

Jerremy Newsome: Yep.

805

: 00:41:48

Ryan Kohler: that they're

a corporate accountant.

806

: 00:41:49

Cool.

807

: 00:41:50

So they're working for a big company,

like a billion dollar company, right.

808

: 00:41:53

That billion dollar company operates

financially with dashboards and like

809

: 00:41:58

data analytics and financial stuff

that small companies don't have.

810

: 00:42:02

They have a superior

decision making process.

811

: 00:42:05

Their time to make decisions and

their confidence in those decisions

812

: 00:42:09

is superior to these small companies.

813

: 00:42:12

Sound about right?

814

: 00:42:13

So if that person takes that knowledge

and comes down market and says, I'm going

815

: 00:42:18

to show these small companies how to have

the same power in their decision making,

816

: 00:42:24

those small companies would be like, oh

my gosh, I finally feel confident about

817

: 00:42:28

what decision we're making because I can

forecast, I can, I can figure out what we

818

: 00:42:32

should do next and how to think about it.

819

: 00:42:34

They drop down and go, let's grab your

stupid QuickBooks file and let's build

820

: 00:42:37

a dashboard that will help you have

more confidence in decision making.

821

: 00:42:41

When Sarah says Micro SaaS,

that's what I just described.

822

: 00:42:45

I went down market, I grabbed a, an

output from a, from QuickBooks, an

823

: 00:42:48

output from their CRM, and I talked

to Manus and described what I used

824

: 00:42:53

to have back at big corporate, and it

created a dashboard and I walk into that

825

: 00:42:58

business and go, look how cool this is.

826

: 00:43:01

My round trip on that this weekend

was about 45 minutes from zero to,

827

: 00:43:07

oh my gosh, look at this dashboard.

828

: 00:43:09

It's showing us where our customers

are at and how they're segmented

829

: 00:43:12

and what decisions we should make.

830

: 00:43:15

That's context that these people have

massive knowledge open AI and, and tropic

831

: 00:43:21

are trying to suck outta their heads and

put into the model so we don't need them.

832

: 00:43:25

these small businesses need them.

833

: 00:43:27

They're begging for somebody to come in,

not just to plug AI in, but with superior

834

: 00:43:33

knowledge that will help them do more.

835

: 00:43:35

Because most of these small

business owners are great at doing

836

: 00:43:39

not great at Businessing, right?

837

: 00:43:41

That's not what they're great at.

838

: 00:43:42

Jerremy Newsome: Yeah.

839

: 00:43:43

Ryan Kohler: at doing the thing, right?

840

: 00:43:44

And

841

: 00:43:44

Jerremy Newsome: Yeah.

842

: 00:43:45

Ryan Kohler: huge potential.

843

: 00:43:46

But that is how most of us went from

corporate job into entrepreneurship

844

: 00:43:51

was we picked up a side hustle.

845

: 00:43:53

We built up fractional jobs, and then

we turned it into some type of product.

846

: 00:43:58

I.

847

: 00:43:58

Jerremy Newsome: Yeah, and to your

point, what I heard you say is there's

848

: 00:44:02

gonna have to be, hold on, everyone,

strap in some work involved you.

849

: 00:44:07

Once you create the thing, you build

the thing, the riches are in the niches.

850

: 00:44:12

You find or have found a small business

or a select group of infrastructure

851

: 00:44:17

to create a software as a service or a

service as a service that has some type

852

: 00:44:23

of AI or unique quickness built into it.

853

: 00:44:27

And then that person will have to go

out, most likely to some degree, or at

854

: 00:44:31

least create an advertisement for it on

a social media platform, put it in front

855

: 00:44:35

of small business owners in their area.

856

: 00:44:37

But that is going to be

available for quite some time.

857

: 00:44:40

I mean, that, that

opportunity exists right now.

858

: 00:44:43

And for anyone who's listening, if

you're like, if you're really listening,

859

: 00:44:47

your job is going to be impacted.

860

: 00:44:51

The only question is,

will you have it or not?

861

: 00:44:54

Let's, let's not worry about

will you have it or not.

862

: 00:44:57

Let's worry about it might not be there.

863

: 00:44:59

So let's come up with a plan B.

864

: 00:45:00

Let's come up with a structuralization now

to prepare yourself so that if anything

865

: 00:45:04

happens and your job is eliminated,

you already have a backup plan.

866

: 00:45:09

And then number two, if your job does

shift and pivot and you have to learn new

867

: 00:45:12

skills, and it becomes a, a talent agency

where you are the best talent in your pool

868

: 00:45:18

and you get to keep your job incredible,

but you've also created a second stream

869

: 00:45:21

of income for you and your family, which

allows you to pay off debt and become

870

: 00:45:25

more financially foundationally secure.

871

: 00:45:28

Ryan Kohler: Yeah, and, and I think just

to invert that, I think most people,

872

: 00:45:31

if they heard what you just said, would

go, wait, so have to dream up a product.

873

: 00:45:37

And then build that product,

and then I'm going to go look

874

: 00:45:40

for the buyer of the product.

875

: 00:45:42

'cause that's how we

generally think this works.

876

: 00:45:44

If you switch that upside down and then

say, go, no, no, no, go find the buyer.

877

: 00:45:49

Go find a group of people and listen.

878

: 00:45:52

I just go out and say, what's

the biggest problem you have?

879

: 00:45:54

Like, it's the easiest thing ever.

880

: 00:45:56

Go find a group of people and

you literally go, you know,

881

: 00:45:58

what's your biggest challenge

in your business right now?

882

: 00:46:00

If you had a magic wand,

what would you point it at?

883

: 00:46:04

You know, I'm not, I'm not

saying here, here's my product.

884

: 00:46:07

I'm literally just having that

conversation over and over and over again.

885

: 00:46:09

Jerremy Newsome: Yep.

886

: 00:46:10

Ryan Kohler: their meetings.

887

: 00:46:11

I walk into one of these meetings,

I drop my phone on the table, I hit

888

: 00:46:14

record, I record the meeting, and then

I go back and I throw that to Chait

889

: 00:46:18

and I'm like, yo, Chait, what's, what's

three things that I could offer to these

890

: 00:46:22

people that they would love, But that,

that idea that that great ideas come

891

: 00:46:28

from us and then we go find the buyer.

892

: 00:46:30

No, no, no.

893

: 00:46:30

Go find the buyer.

894

: 00:46:31

Go hang out with the buyer.

895

: 00:46:32

Get proximity to the problem.

896

: 00:46:34

Jerremy Newsome: Yeah.

897

: 00:46:35

Ryan Kohler: challenge and ask

the questions and listen, you're

898

: 00:46:38

just a journalist at that point.

899

: 00:46:39

You're going, I'm here as an investigative

journalist and my job is to write the

900

: 00:46:43

article on the problems of this industry.

901

: 00:46:46

What

902

: 00:46:46

Jerremy Newsome: Hmm.

903

: 00:46:47

Ryan Kohler: problems and the challenges?

904

: 00:46:48

And then that one magical question right

now is just crazy hot, which is like, if

905

: 00:46:53

you had a magic wand, because you know

what, what, freaking Sam Altman did.

906

: 00:46:57

Sam Altman took a, a truck across

America and he dumped a billion

907

: 00:47:02

magic wands on the ground.

908

: 00:47:03

He just didn't tell anybody how

to use them, but he dumped a

909

: 00:47:08

billion magic wands on the ground.

910

: 00:47:09

And so you're like, Hey, I got

this magic wand right here.

911

: 00:47:12

If you had this magic wand and

actually knew how to use it,

912

: 00:47:16

what would you point it at?

913

: 00:47:18

you'll instantly know the number one

solution that that group is looking for.

914

: 00:47:24

pointed at this.

915

: 00:47:26

Jerremy Newsome: Yeah.

916

: 00:47:26

Sarah Montana: I think is interesting

about that is like the people that are

917

: 00:47:30

listening right now, if you have a job

and you're, you feel like you're secure

918

: 00:47:34

in it and all those things, you can still

take this advice, pull it at your own life

919

: 00:47:39

Jerremy Newsome: Mm.

920

: 00:47:40

Sarah Montana: What are

921

: 00:47:40

Jerremy Newsome: Uh oh.

922

: 00:47:41

Sarah Montana: learning

the reps, the shots

923

: 00:47:43

Jerremy Newsome: Uh oh.

924

: 00:47:44

Sarah Montana: have to

be in a business context.

925

: 00:47:46

Jerremy Newsome: she comes.

926

: 00:47:47

Sarah Montana: shots on goal can be

of like, oh, I want to lose weight

927

: 00:47:50

and I want to become better at this.

928

: 00:47:52

Like, let me build a macro tracking, you

know, a recipe planner that will plan

929

: 00:47:59

out all of my, recipes in my budget that

will, you know, make it so that I achieve

930

: 00:48:05

my goals of, of, of losing this weight.

931

: 00:48:08

Or, hey, I am trying to organize

my kids' soccer, schedule, and

932

: 00:48:13

we're trying to figure out who's

gonna bring the treats each week.

933

: 00:48:17

Like, I'm gonna create a little platform

that people can sign up really quick

934

: 00:48:20

and it gives suggestions of what

they're gonna make, like random things.

935

: 00:48:24

But those are the things that

are the shots on goal of what are

936

: 00:48:27

the magic wands in your own life?

937

: 00:48:29

What is the things that piss you off

that are annoying in your life that

938

: 00:48:32

you could solve right now with ai?

939

: 00:48:35

going to give you the repetitions

and the shots on goal so that all of

940

: 00:48:38

a sudden when you're in a situation

that you need to start a business,

941

: 00:48:41

you're not starting at square one.

942

: 00:48:44

Jerremy Newsome: Love that.

943

: 00:48:45

That's so dope.

944

: 00:48:46

Ryan Kohler: out there that

thinks that sounds hard, let

945

: 00:48:47

me tell you how easy it is.

946

: 00:48:49

Step one.

947

: 00:48:50

Do exactly what Sarah just did.

948

: 00:48:52

Think about your life and be

like, oh, I freaking hate this,

949

: 00:48:56

this, this, this, and this.

950

: 00:48:58

And then think about the way you're

doing it now, but literally get your

951

: 00:49:01

phone out, go to the voice memo, press

record, and just bitch and moan into the

952

: 00:49:05

voice memo and be like, oh man, it's so

hard to organize my kids' soccer group.

953

: 00:49:10

I hate that it does

this and this and this.

954

: 00:49:13

Like, here's the tool we use right now.

955

: 00:49:15

And man, I wish those guys right

would do this, this, and this.

956

: 00:49:19

Like I wish it was better.

957

: 00:49:20

And if you take that one voice memo and

you drop that into lovable right now

958

: 00:49:25

and go build my solution for me, it will

literally build the entire thing for you.

959

: 00:49:31

And because we sit around, we complain

to the wrong person, the person

960

: 00:49:34

to complain to right now, Manis or

lovable, just go complain to them

961

: 00:49:37

about your current process and about

the current tools that are out there.

962

: 00:49:41

And then say, how could we

build my own version of that?

963

: 00:49:45

And it will take over from there and

build out an entire web platform.

964

: 00:49:49

That

965

: 00:49:50

Jerremy Newsome: Yeah,

966

: 00:49:50

Ryan Kohler: the stuff

you're complaining about.

967

: 00:49:52

Sarah Montana: Or for me, it's

tax time right now of like,

968

: 00:49:55

oh my gosh, I hate taxes.

969

: 00:49:57

It's the worst.

970

: 00:49:58

Hey, Manus, connect to my QuickBooks,

connect to all my accounts.

971

: 00:50:02

Tell me where I'm screwing

up in my budget right now.

972

: 00:50:06

Categorize all of my transactions from

every single thing, and then give me

973

: 00:50:10

the journal entry that I can put in so

that I don't f my f, f up, my taxes.

974

: 00:50:14

Like those types of things.

975

: 00:50:16

It's like I didn't need to go hire

someone to do all these things.

976

: 00:50:19

Like I literally spoke it into

existence of what I wanted it to do.

977

: 00:50:23

Jerremy Newsome: it's amazing.

978

: 00:50:24

Yeah, that is really cool.

979

: 00:50:26

Very, very tactical

information, very useful steps.

980

: 00:50:29

So thank you Ryan and Sarah on that.

981

: 00:50:31

Speaking of magic wand,

Sarah, let's say fear.

982

: 00:50:37

Fear is always a primary

obstacle for someone navigating.

983

: 00:50:41

Anything but let's say navigating the

volatility of the, you know, of the

984

: 00:50:43

change and the shifting of the workplace.

985

: 00:50:46

Since you are, and you work with wellness

CEOs very often, how, how do the wellness

986

: 00:50:53

and biohacking practices that you

teach and work with help individuals

987

: 00:50:58

actually move the needle on their fear

and their anxiety and their worry as

988

: 00:51:05

we do approach these massive changes

for the people who need to hear it.

989

: 00:51:09

Sarah Montana: Ooh, goodness.

990

: 00:51:11

I think right now it's, All about, going

back to balance and all those things

991

: 00:51:14

of nerve, nervous system regulation.

992

: 00:51:17

I feel like right now in the world that

we're in, like, it is so easy to have all

993

: 00:51:23

of these different things coming at you.

994

: 00:51:25

and I think really being able

to take the time to be grounded.

995

: 00:51:29

the other thing that I like is

being able to use AI as my thought

996

: 00:51:35

partner to really figure out

what it is that I'm trying to do.

997

: 00:51:39

So taking the time and energy to get quiet

before you can go in and actually create

998

: 00:51:46

the life that you're wanting to create.

999

: 00:51:48

and so that for me is what I try to

do of getting out in nature, doing

: 1000

00:51:52,962 --> 00:51:55,032

those types of things, walking.

: 1001

00:51:55,382 --> 00:52:00,702

but I allow my brain to, to create

my, my dreams and my vision when

: 1002

00:52:00,702 --> 00:52:02,112

I'm taking that time to get quiet.

: 1003

00:52:03,112 --> 00:52:03,322

Ryan Kohler: Yeah.

: 1004

00:52:03,353 --> 00:52:03,643

Jerremy Newsome: Okay.

: 1005

00:52:03,862 --> 00:52:06,952

Ryan Kohler: I would second that, like

that reg, there are simple habits that

: 1006

00:52:06,952 --> 00:52:11,992

do not like, there's clearly as a one

percenter, biohacker that spends has

: 1007

00:52:11,992 --> 00:52:14,392

an infinite budget on biohacking stuff.

: 1008

00:52:14,822 --> 00:52:18,092

but even the cheap ones that,

like this morning I got up, I

: 1009

00:52:18,092 --> 00:52:19,682

walked, I drank a glass of water.

: 1010

00:52:19,682 --> 00:52:23,642

I went outside, I walked up the

hill, I got lights in my eyes.

: 1011

00:52:23,792 --> 00:52:25,502

I saw stuff going past me.

: 1012

00:52:25,502 --> 00:52:29,342

Like I didn't, I wasn't on my

phone and I wasn't with somebody.

: 1013

00:52:29,612 --> 00:52:31,232

I was an hour of silence.

: 1014

00:52:32,162 --> 00:52:35,042

Like outside by myself, not, oh

my gosh, we're gonna go and chat.

: 1015

00:52:35,042 --> 00:52:36,152

Chatt chat about the world ending.

: 1016

00:52:36,152 --> 00:52:38,252

No, like literally walk outside.

: 1017

00:52:38,342 --> 00:52:40,862

Go for a walk by yourself with nature.

: 1018

00:52:40,922 --> 00:52:41,822

Listen to the birds.

: 1019

00:52:41,912 --> 00:52:42,872

Listen to the noise.

: 1020

00:52:42,992 --> 00:52:48,422

Be here now in this moment, just to set

that regulation flow of like, okay, cool,

: 1021

00:52:48,632 --> 00:52:51,452

like I come back, I float out a blog post.

: 1022

00:52:51,722 --> 00:52:54,722

Like, but that one habit is free.

: 1023

00:52:54,902 --> 00:52:55,982

Like $0

: 1024

00:52:56,982 --> 00:52:57,272

Jerremy Newsome: Yeah.

: 1025

00:52:57,640 --> 00:52:58,660

Ryan Kohler: resets, like

: 1026

00:52:58,822 --> 00:52:59,112

Jerremy Newsome: Yeah.

: 1027

00:52:59,320 --> 00:52:59,860

Ryan Kohler: seto.

: 1028

00:52:59,860 --> 00:53:03,100

Clearly I'm gonna run that

and like shock my vagus nerve.

: 1029

00:53:03,100 --> 00:53:05,440

You could do V breath or

do breath, breath work or

: 1030

00:53:05,522 --> 00:53:05,942

Jerremy Newsome: Mm-hmm.

: 1031

00:53:06,010 --> 00:53:11,020

Ryan Kohler: may be, but a common

practice, not like overthinking it.

: 1032

00:53:11,800 --> 00:53:13,390

super easy every single morning.

: 1033

00:53:13,390 --> 00:53:16,030

Full glass water, right when

you get up, jump out of bed,

: 1034

00:53:16,060 --> 00:53:17,890

get outside, go for a walk.

: 1035

00:53:17,950 --> 00:53:18,910

Get light in your eyes.

: 1036

00:53:18,910 --> 00:53:20,800

No sunglasses, no conversation.

: 1037

00:53:20,800 --> 00:53:22,390

Just go be with nature.

: 1038

00:53:22,720 --> 00:53:26,410

And by nature it could be like, hug a

tree, take your shoes off, stand in grass.

: 1039

00:53:26,410 --> 00:53:27,760

Like whatever it is.

: 1040

00:53:28,210 --> 00:53:29,530

But that connecting back.

: 1041

00:53:30,400 --> 00:53:36,750

the earth that we were created

on, just to have a consistent, all

: 1042

00:53:36,777 --> 00:53:37,167

Jerremy Newsome: Yeah.

: 1043

00:53:37,170 --> 00:53:38,100

Ryan Kohler: I can get back at it.

: 1044

00:53:38,427 --> 00:53:38,757

Jerremy Newsome: Yeah.

: 1045

00:53:38,757 --> 00:53:40,467

Resting of the nervous system.

: 1046

00:53:40,527 --> 00:53:41,487

No, for sure, ma'am.

: 1047

00:53:41,817 --> 00:53:46,647

Well, I mean, the thesis of this

whole series is that the old American

: 1048

00:53:46,647 --> 00:53:50,007

deal is dissolving and nobody

really has a written replacement.

: 1049

00:53:50,907 --> 00:53:54,087

And I think this will be a just a fun

chat as we start to slowly wrap up

: 1050

00:53:54,087 --> 00:53:57,867

between a man who spent two decades

inside the hiring machine, and a woman

: 1051

00:53:57,867 --> 00:53:59,727

who helped build the path herself.

: 1052

00:54:00,702 --> 00:54:05,412

What would you say the first

couple paragraphs of the

: 1053

00:54:05,412 --> 00:54:08,622

new contract actually say?

: 1054

00:54:08,682 --> 00:54:10,092

We'll start with Sarah and then Ryan.

: 1055

00:54:11,092 --> 00:54:12,352

Sarah Montana: So say the

question one more time.

: 1056

00:54:13,352 --> 00:54:16,202

Jerremy Newsome: What's the

new contract job going forward?

: 1057

00:54:16,202 --> 00:54:19,292

ing is changing the people in: 2047

: 1058

00:54:20,292 --> 00:54:23,202

What's the new American dream that's

being sold to everybody all the time?

: 1059

00:54:23,202 --> 00:54:23,622

Always,

: 1060

00:54:24,622 --> 00:54:28,437

Sarah Montana: I think it's that

you hold the pen, like you hold the

: 1061

00:54:28,437 --> 00:54:31,947

pen to the contract like you are.

: 1062

00:54:32,907 --> 00:54:39,477

narrator of your own story and that you

get to choose how this is going to evolve.

: 1063

00:54:39,567 --> 00:54:41,727

You get to choose how you show up.

: 1064

00:54:41,937 --> 00:54:47,457

You get to show, you get to,

decide how you're going to write

: 1065

00:54:47,457 --> 00:54:48,607

the next chapters of your life.

: 1066

00:54:49,607 --> 00:54:50,087

Dave: So

: 1067

00:54:50,305 --> 00:54:50,595

Jerremy Newsome: yeah.

: 1068

00:54:50,897 --> 00:54:54,257

Dave: let me ask you about that

because I, we've heard this in several

: 1069

00:54:54,257 --> 00:54:57,857

interviews and I'm hearing it again

today, is that there's, there's so

: 1070

00:54:57,857 --> 00:55:02,917

much, individual agency, not only

that you have to, to just do, but that

: 1071

00:55:02,917 --> 00:55:05,797

you're responsible for, and I don't

think anybody would disagree with that.

: 1072

00:55:05,797 --> 00:55:06,157

Right.

: 1073

00:55:07,157 --> 00:55:11,867

I think my question is that I'm, I'm

still working through is what's the.

: 1074

00:55:12,867 --> 00:55:15,307

Like, we're, we don't

exist as individuals.

: 1075

00:55:15,307 --> 00:55:19,057

We in, we exist in communities

and businesses, in, in

: 1076

00:55:19,057 --> 00:55:19,957

governments and schools.

: 1077

00:55:19,957 --> 00:55:23,077

So like what's, what's the responsibility?

: 1078

00:55:23,407 --> 00:55:31,367

Or at least how can government,

business, schools, communities help?

: 1079

00:55:32,367 --> 00:55:35,757

Ryan Kohler: What I, I think there's

a million different ways that all

: 1080

00:55:35,757 --> 00:55:39,657

those things can happen if you reset

back to when it wasn't controlled by

: 1081

00:55:39,657 --> 00:55:44,517

money, but it is controlled by money

and all of that takes away our power.

: 1082

00:55:45,517 --> 00:55:50,857

Everything about that question

says that somebody else needs to

: 1083

00:55:50,857 --> 00:55:53,257

take power and solve this problem.

: 1084

00:55:54,097 --> 00:55:58,387

So like they can't, and the reason

why they can't and most likely won't,

: 1085

00:55:58,537 --> 00:56:00,037

comes down to like two main parts.

: 1086

00:56:00,037 --> 00:56:03,967

Part number one, they are addicted

to the status quo, period.

: 1087

00:56:03,967 --> 00:56:04,567

Full stop.

: 1088

00:56:04,567 --> 00:56:07,477

What gives them power

is the old structure.

: 1089

00:56:08,377 --> 00:56:12,307

They are not going to disrupt

themselves, just like humans aren't.

: 1090

00:56:12,517 --> 00:56:15,307

Until they're forced to, they're

currently choosing their heart.

: 1091

00:56:15,577 --> 00:56:19,267

So every one of those organizations

you just listed out is currently

: 1092

00:56:19,267 --> 00:56:24,247

holding on to the status quo for as

long as possible, because that is,

: 1093

00:56:25,087 --> 00:56:29,497

in its best interest to squeeze every

last ounce out of the status quo.

: 1094

00:56:29,977 --> 00:56:32,437

It is not going to

deliberately choose, right?

: 1095

00:56:32,437 --> 00:56:37,747

It's just not, so my personal opinion

is quit looking for it to do that,

: 1096

00:56:37,777 --> 00:56:39,817

start at the bottom and build back up.

: 1097

00:56:39,877 --> 00:56:43,027

That starts with you, and then

it goes to your family, and then

: 1098

00:56:43,027 --> 00:56:44,437

it goes to your local community.

: 1099

00:56:44,587 --> 00:56:47,587

This idea that the government,

like how are a bunch of people

: 1100

00:56:47,587 --> 00:56:48,412

who don't know how to use ai.

: 1101

00:56:49,222 --> 00:56:50,002

Going to solve it.

: 1102

00:56:50,002 --> 00:56:50,872

I signed up.

: 1103

00:56:50,932 --> 00:56:52,402

I'm officially AI ready.

: 1104

00:56:52,402 --> 00:56:56,872

I got 10 text messages across 10 days

from the fricking Trump administration

: 1105

00:56:57,022 --> 00:57:01,102

that taught me what I learned in 20

minutes two and a half years ago.

: 1106

00:57:01,942 --> 00:57:04,972

How will the government teach

a workforce to use AI when

: 1107

00:57:04,972 --> 00:57:06,232

they don't know how to use it?

: 1108

00:57:06,562 --> 00:57:07,432

They won't.

: 1109

00:57:07,582 --> 00:57:11,422

Central planning like that doesn't

work on a new disruptive technology.

: 1110

00:57:11,692 --> 00:57:15,772

How will the school system who are

addicted to the default status quo?

: 1111

00:57:15,892 --> 00:57:17,842

How would a college campus

give you a great example?

: 1112

00:57:18,112 --> 00:57:22,402

The college campus currently spends

all of its money indexing on quality

: 1113

00:57:22,402 --> 00:57:26,602

education, which equals accreditation,

which equals more and more professors.

: 1114

00:57:26,842 --> 00:57:29,482

I applied for a job two

years ago to go teach ai.

: 1115

00:57:29,572 --> 00:57:35,672

I only have a lowly MBA and a massive

track record of success in business, but

: 1116

00:57:35,672 --> 00:57:38,852

that doesn't equal quality education.

: 1117

00:57:39,572 --> 00:57:42,002

look at your local college and

ask yourself this one question,

: 1118

00:57:42,002 --> 00:57:45,152

what percentage of their

budget goes to career services?

: 1119

00:57:45,797 --> 00:57:48,827

A fraction of a fraction of

a fraction of a percentage.

: 1120

00:57:49,037 --> 00:57:51,857

So will they change they have to?

: 1121

00:57:52,487 --> 00:57:55,847

But disruption never

comes from those in power.

: 1122

00:57:56,717 --> 00:58:00,347

So disruption has to come

from the disaffected niches

: 1123

00:58:00,557 --> 00:58:02,297

binding together to start it.

: 1124

00:58:02,297 --> 00:58:06,557

And that's why it starts at the lowest

level is, and so I am going to do

: 1125

00:58:06,557 --> 00:58:09,797

this, and then we will go and do that.

: 1126

00:58:10,797 --> 00:58:13,977

we're just picking tribes and we're gonna

be pitted against each other because

: 1127

00:58:13,977 --> 00:58:18,117

the way that the status quo keeps us

in power is it keeps us distracted

: 1128

00:58:18,447 --> 00:58:22,467

fighting over a, a bogus choice.

: 1129

00:58:23,337 --> 00:58:26,127

That's that's how, that's how power

is currently maintained in America.

: 1130

00:58:26,397 --> 00:58:29,217

We keep the public distracted,

fighting left or right.

: 1131

00:58:29,247 --> 00:58:30,687

I'm not on either side.

: 1132

00:58:30,837 --> 00:58:31,917

They're all full of shit.

: 1133

00:58:32,097 --> 00:58:35,217

They're all just a power grab to control

the public by dividing off up into

: 1134

00:58:35,217 --> 00:58:36,627

tribes and point us at each other.

: 1135

00:58:36,927 --> 00:58:40,137

The only way you solve that is you start

at the base and you say, I'm going to

: 1136

00:58:40,137 --> 00:58:43,227

do X anybody wants to come with me.

: 1137

00:58:44,082 --> 00:58:49,032

You can tag along, but I'm headed

this direction and it's gonna be cool.

: 1138

00:58:49,062 --> 00:58:52,392

And the reason it's gonna be cool, if you

think about like what that requires is

: 1139

00:58:52,392 --> 00:58:57,402

step one, the way I view the world, this

is like stoic thing from obstacles away.

: 1140

00:58:57,732 --> 00:59:00,222

My view of the world, my lens

of the world makes a huge

: 1141

00:59:00,222 --> 00:59:01,392

impact on the world around me.

: 1142

00:59:02,202 --> 00:59:03,252

see what I look for.

: 1143

00:59:04,252 --> 00:59:07,522

If I see problems, if I look

for problems, I see problems.

: 1144

00:59:07,642 --> 00:59:12,112

If I look for opportunity, I see

opportunity, step one, step two, accept

: 1145

00:59:12,112 --> 00:59:15,742

that there are things outta my control

and accept that there are things in my

: 1146

00:59:15,742 --> 00:59:19,642

control and I'm gonna shove my stick

forward on what I'm in control of.

: 1147

00:59:19,912 --> 00:59:22,042

And I'm gonna push as

hard as I can into it.

: 1148

00:59:22,160 --> 00:59:22,640

Dave: I'm, I'm

: 1149

00:59:22,952 --> 00:59:23,752

Sarah Montana: I think that's the thing.

: 1150

00:59:23,780 --> 00:59:24,470

Dave: Yeah, sorry.

: 1151

00:59:24,922 --> 00:59:25,132

Ryan Kohler: Yeah,

: 1152

00:59:25,250 --> 00:59:25,580

Dave: What I'm

: 1153

00:59:25,687 --> 00:59:26,722

Sarah Montana: No, sorry, just.

: 1154

00:59:27,410 --> 00:59:29,360

Dave: businesses can't help.

: 1155

00:59:29,390 --> 00:59:30,950

Communities can't help.

: 1156

00:59:30,950 --> 00:59:33,410

In fact, they won't help

because of status quo.

: 1157

00:59:33,440 --> 00:59:36,530

They're going to maintain and

they are going to get in your way.

: 1158

00:59:37,530 --> 00:59:40,110

Ryan Kohler: they are

going to help themselves.

: 1159

00:59:41,110 --> 00:59:44,170

The economy and capitalism

is inherently selfish.

: 1160

00:59:44,530 --> 00:59:48,310

Every single one of those organizations

is going to help themselves.

: 1161

00:59:48,340 --> 00:59:52,540

And maybe if it happens to align,

you might get something out of it,

: 1162

00:59:52,900 --> 00:59:56,380

but they are going to help themselves

to a portion of the status quo.

: 1163

00:59:57,380 --> 00:59:59,210

So Canna business solve

it a hundred percent.

: 1164

00:59:59,360 --> 01:00:02,090

What they will do is they will bring

AI in, they'll teach their team.

: 1165

01:00:02,330 --> 01:00:05,030

When they get more efficiency,

the value will go to the person

: 1166

01:00:05,030 --> 01:00:06,500

who made the investment in ai.

: 1167

01:00:06,500 --> 01:00:10,250

IE The profit will go to the owners,

and I don't have a problem with that.

: 1168

01:00:10,280 --> 01:00:10,730

Cool.

: 1169

01:00:10,880 --> 01:00:12,590

They took deliberate action.

: 1170

01:00:13,220 --> 01:00:16,460

So the power goes to the person

who takes deliberate action,

: 1171

01:00:17,390 --> 01:00:19,190

takes the risk, who steps forward.

: 1172

01:00:19,190 --> 01:00:22,040

We believe in the free

market, economic system.

: 1173

01:00:22,040 --> 01:00:23,690

Rewards go to the risk takers.

: 1174

01:00:24,170 --> 01:00:28,520

So when we look for the community to

take the risk, then the rewards are

: 1175

01:00:28,520 --> 01:00:30,200

going to go those who took the risk.

: 1176

01:00:31,200 --> 01:00:34,710

And so that's like, it's just a,

like, you can say it's wrong or right.

: 1177

01:00:34,710 --> 01:00:35,850

It, it's immaterial.

: 1178

01:00:36,120 --> 01:00:38,370

It is just the current power structure.

: 1179

01:00:39,240 --> 01:00:42,510

the physics, it's our

economic physical laws, right?

: 1180

01:00:42,720 --> 01:00:46,540

There's the laws of physics inside

of the American economy, I need to

: 1181

01:00:46,540 --> 01:00:51,070

take risk, take deliberate action,

sustain it, and like disrupt it.

: 1182

01:00:52,070 --> 01:00:52,640

Jerremy Newsome: Yep.

: 1183

01:00:53,030 --> 01:00:53,510

Great.

: 1184

01:00:53,630 --> 01:00:54,680

Great context.

: 1185

01:00:54,680 --> 01:00:55,940

Super awesome information.

: 1186

01:00:55,940 --> 01:00:57,350

You two, I love.

: 1187

01:00:57,350 --> 01:00:59,540

It brings us to the lightning rounds.

: 1188

01:01:00,540 --> 01:01:04,140

I will let anyone or either or both

of you answer the question and then

: 1189

01:01:04,140 --> 01:01:05,550

we'll just move on to the next one.

: 1190

01:01:05,970 --> 01:01:07,590

You all know how lightning Rounds work.

: 1191

01:01:07,590 --> 01:01:10,410

You've been on all the podcasts

and listen to a bunch of them.

: 1192

01:01:10,770 --> 01:01:13,020

Finish this sentence.

: 1193

01:01:13,710 --> 01:01:18,570

The biggest lie we are still telling

18 year olds about their future is

: 1194

01:01:19,570 --> 01:01:23,660

Ryan Kohler: So they should follow a

path that's laid out, lit, literally

: 1195

01:01:23,791 --> 01:01:24,211

Jerremy Newsome: mm-hmm.

: 1196

01:01:25,036 --> 01:01:25,426

Yeah.

: 1197

01:01:26,026 --> 01:01:27,406

This is the only way it's gonna work.

: 1198

01:01:27,856 --> 01:01:28,816

Go down this road.

: 1199

01:01:29,686 --> 01:01:29,956

Yeah.

: 1200

01:01:29,956 --> 01:01:30,016

I.

: 1201

01:01:30,095 --> 01:01:31,115

Ryan Kohler: there is a path,

: 1202

01:01:31,471 --> 01:01:31,861

Jerremy Newsome: That's right.

: 1203

01:01:31,955 --> 01:01:33,365

Ryan Kohler: their lifelong trajectory.

: 1204

01:01:33,661 --> 01:01:34,021

Jerremy Newsome: Yeah.

: 1205

01:01:34,115 --> 01:01:36,815

Ryan Kohler: there's a career

that takes me from high school

: 1206

01:01:36,815 --> 01:01:38,435

to retirement on a golf course

: 1207

01:01:38,491 --> 01:01:38,611

Jerremy Newsome: Mm-hmm.

: 1208

01:01:39,575 --> 01:01:41,270

Ryan Kohler: that we're

writing one book I,

: 1209

01:01:41,881 --> 01:01:42,331

Jerremy Newsome: Love that.

: 1210

01:01:42,601 --> 01:01:44,311

Ryan, finish this sentence.

: 1211

01:01:44,341 --> 01:01:47,431

The thing large companies

know about AI and headcount,

: 1212

01:01:47,431 --> 01:01:49,651

they'll never say publicly is.

: 1213

01:01:50,651 --> 01:01:56,662

Ryan Kohler: that, payroll is a tax on

their profits, and that reducing that

: 1214

01:01:56,662 --> 01:02:02,911

payroll will increase profitability and

that Sam Altman would like to help them do

: 1215

01:02:02,911 --> 01:02:07,351

that by him taking a little bit in tokens

and them taking a little bit in profits.

: 1216

01:02:07,591 --> 01:02:15,011

And the human has been a, a necessary

evil taxing profits for so long.

: 1217

01:02:15,011 --> 01:02:18,041

We just haven't come up

with the solution for it.

: 1218

01:02:18,731 --> 01:02:20,141

Until Sam Altman did,

: 1219

01:02:21,141 --> 01:02:21,621

Jerremy Newsome: Wild.

: 1220

01:02:21,640 --> 01:02:23,050

Ryan Kohler: that I

mean Elon and everybody

: 1221

01:02:23,206 --> 01:02:23,496

Jerremy Newsome: Yeah.

: 1222

01:02:23,501 --> 01:02:25,296

Yeah, yeah, yeah.

: 1223

01:02:26,296 --> 01:02:26,776

Wild.

: 1224

01:02:26,926 --> 01:02:31,996

Sarah, what's one AI habit you are

trying to build in your kids that most

: 1225

01:02:31,996 --> 01:02:33,401

parents are getting completely wrong?

: 1226

01:02:34,401 --> 01:02:37,561

Sarah Montana: That, yeah,

that, that using AI is cheating.

: 1227

01:02:38,011 --> 01:02:43,531

That they need to, they need to

be using it on a daily basis.

: 1228

01:02:43,861 --> 01:02:47,611

They need to be able to, use

it to expand their thought, use

: 1229

01:02:47,611 --> 01:02:48,841

it as their thought partner.

: 1230

01:02:49,841 --> 01:02:50,231

Jerremy Newsome: Love it.

: 1231

01:02:50,831 --> 01:02:54,881

Ghost jobs, legitimate market

signal, or should they be illegal?

: 1232

01:02:55,881 --> 01:02:58,791

Ryan Kohler: I don't think there

is persistent, as you would think.

: 1233

01:02:58,866 --> 01:03:02,696

I think that the feeling that there's

a bunch of jobs out there that aren't

: 1234

01:03:02,696 --> 01:03:07,826

actually real, and that's why I'm not

hearing back, I is a easy way to explain

: 1235

01:03:07,856 --> 01:03:11,336

a hard problem, which is, people are

getting a thousand applicants per job

: 1236

01:03:11,366 --> 01:03:14,876

and the world is changing so fast that

they may post a job and then their

: 1237

01:03:14,876 --> 01:03:16,886

manager says, Hey, let's hold off.

: 1238

01:03:17,306 --> 01:03:20,156

Uncertainty creates chaos.

: 1239

01:03:20,546 --> 01:03:22,046

And so we're seeing chaos.

: 1240

01:03:22,266 --> 01:03:26,656

it's not as, it's not what

people think it is like that.

: 1241

01:03:26,656 --> 01:03:27,706

That's not the core problem.

: 1242

01:03:27,706 --> 01:03:31,426

A AI and AI judging your resume

also not the core problem.

: 1243

01:03:31,488 --> 01:03:31,708

Jerremy Newsome: Mm.

: 1244

01:03:31,726 --> 01:03:34,246

Ryan Kohler: bigger problem is I

can apply to a hundred times more

: 1245

01:03:34,246 --> 01:03:37,816

jobs right now, and we all use chat

twoit to shine up their resume.

: 1246

01:03:38,176 --> 01:03:39,406

So there's a trust problem.

: 1247

01:03:39,526 --> 01:03:41,926

Everybody's resume looks great

and they're all full of shit.

: 1248

01:03:42,926 --> 01:03:43,886

So we have a trust problem.

: 1249

01:03:44,608 --> 01:03:45,098

Jerremy Newsome: Good point.

: 1250

01:03:45,176 --> 01:03:46,766

Ryan Kohler: a thousand resumes,

they all sound the same.

: 1251

01:03:46,766 --> 01:03:47,606

They aren't all the same.

: 1252

01:03:48,606 --> 01:03:49,236

Jerremy Newsome: Love that.

: 1253

01:03:49,386 --> 01:03:50,406

All right, awesome.

: 1254

01:03:51,156 --> 01:03:56,376

The trades are being sold as

the fix for the college problem.

: 1255

01:03:56,497 --> 01:03:59,616

What's the part of that

pitch that nobody is saying?

: 1256

01:04:00,616 --> 01:04:02,116

Ryan Kohler: Private equity.

: 1257

01:04:02,776 --> 01:04:06,346

Private equity is freaking up the trades.

: 1258

01:04:06,346 --> 01:04:10,036

And it, it is, Hey, you should

learn skills and capabilities.

: 1259

01:04:10,036 --> 01:04:11,386

You should learn to do those things.

: 1260

01:04:11,386 --> 01:04:16,126

But BT Dubs, those companies are

currently massively being disrupted by

: 1261

01:04:16,126 --> 01:04:21,536

private equity coming in, the space,

consolidating those companies, and

: 1262

01:04:21,536 --> 01:04:23,216

pulling the profits from them as well.

: 1263

01:04:23,216 --> 01:04:28,346

So while that may be a protected job,

the safer job go work for the government,

: 1264

01:04:28,826 --> 01:04:31,616

the government's gonna be the last

place with their doors open, right?

: 1265

01:04:32,006 --> 01:04:34,286

But yes is, are there opportunities there?

: 1266

01:04:34,286 --> 01:04:34,856

A hundred percent.

: 1267

01:04:34,856 --> 01:04:35,906

There's a bunch of opportunities.

: 1268

01:04:35,906 --> 01:04:38,216

Learn to work with your hands by the way.

: 1269

01:04:38,711 --> 01:04:41,411

You are also going to have to

learn to start your own business.

: 1270

01:04:41,471 --> 01:04:45,881

Otherwise, big greedy, private equity is

gonna come in and make you their slave.

: 1271

01:04:46,881 --> 01:04:47,271

Jerremy Newsome: Yep.

: 1272

01:04:48,271 --> 01:04:48,631

Yep.

: 1273

01:04:48,991 --> 01:04:50,491

I think a lot of people

need to be aware of that.

: 1274

01:04:51,121 --> 01:04:52,771

I think a lot of people

need to be aware of that.

: 1275

01:04:52,771 --> 01:04:53,311

All right.

: 1276

01:04:53,731 --> 01:04:58,021

In a few words, what is the

future of the American worker?

: 1277

01:04:59,021 --> 01:05:04,561

Sarah Montana: AI agent workforce,

having, having AI agents

: 1278

01:05:04,561 --> 01:05:05,906

that are your work partners.

: 1279

01:05:06,906 --> 01:05:07,196

Jerremy Newsome: Yeah.

: 1280

01:05:07,525 --> 01:05:08,365

Ryan Kohler: I'd say the same thing.

: 1281

01:05:08,395 --> 01:05:09,025

Agency.

: 1282

01:05:09,025 --> 01:05:11,755

Your only question is who will own them?

: 1283

01:05:12,755 --> 01:05:13,045

Jerremy Newsome: Yeah.

: 1284

01:05:13,063 --> 01:05:15,493

Ryan Kohler: Meaning is your

business gonna own agents and

: 1285

01:05:15,493 --> 01:05:16,693

they'll be your coworkers?

: 1286

01:05:16,903 --> 01:05:19,963

Or are you going to own agents

and they will be your workers?

: 1287

01:05:20,143 --> 01:05:24,313

That's the only question that every,

like the only question for: 2026

: 1288

01:05:24,703 --> 01:05:24,953

That's it.

: 1289

01:05:25,423 --> 01:05:26,894

You don't need to answer

any other question.

: 1290

01:05:27,268 --> 01:05:32,278

Who will own the agents will your boss

and you'll work with them and therefore

: 1291

01:05:32,278 --> 01:05:36,208

it will be a constant drumbeat of them

taking more and more of the payroll money.

: 1292

01:05:36,538 --> 01:05:39,688

Or will you you'll run an agency.

: 1293

01:05:39,898 --> 01:05:42,868

And when you show up to a job,

you will come with your team of

: 1294

01:05:42,868 --> 01:05:45,208

agents who will own the agents.

: 1295

01:05:45,508 --> 01:05:49,738

The answer to that question will

dictate the next decade of America.

: 1296

01:05:50,218 --> 01:05:50,488

Who

: 1297

01:05:50,549 --> 01:05:53,189

Sarah Montana: Brian and I have been

talking about that as far as like

: 1298

01:05:53,189 --> 01:05:57,659

even putting into like your resumes

of like, are you actually adding

: 1299

01:05:57,839 --> 01:06:02,399

AI agents as part of your resumes

of like, Hey, this comes with me.

: 1300

01:06:03,080 --> 01:06:03,300

Jerremy Newsome: Mm.

: 1301

01:06:04,300 --> 01:06:04,960

Nice.

: 1302

01:06:04,960 --> 01:06:05,740

That's cool.

: 1303

01:06:05,743 --> 01:06:06,703

Ryan Kohler: only question though.

: 1304

01:06:06,703 --> 01:06:07,003

Like

: 1305

01:06:07,029 --> 01:06:08,740

Jerremy Newsome: Whoa, cool.

: 1306

01:06:08,863 --> 01:06:09,133

Ryan Kohler: all of it.

: 1307

01:06:09,943 --> 01:06:14,053

I show up to work, the reason why

people hire me and Sarah because when

: 1308

01:06:14,053 --> 01:06:15,823

we show up, we show up with our team.

: 1309

01:06:16,513 --> 01:06:19,873

team now just happens to

include people and agents.

: 1310

01:06:20,564 --> 01:06:24,073

you hire me to build you

something, what comes with me

: 1311

01:06:24,163 --> 01:06:25,484

is all of my skills in manage.

: 1312

01:06:26,428 --> 01:06:28,258

All of my agentic tools.

: 1313

01:06:29,258 --> 01:06:31,058

That right there is the question.

: 1314

01:06:31,058 --> 01:06:33,788

And you can choose which side

you wanna take, but you don't

: 1315

01:06:33,788 --> 01:06:34,959

get to choose the outcome.

: 1316

01:06:35,138 --> 01:06:36,459

You get to choose the input.

: 1317

01:06:36,459 --> 01:06:39,428

So the input is will I be

building my own agents?

: 1318

01:06:39,638 --> 01:06:40,839

Will I teach my own agents?

: 1319

01:06:40,839 --> 01:06:41,439

Will I train them?

: 1320

01:06:41,439 --> 01:06:47,109

Will I control them, or will I be

disrupted by agents built by other people?

: 1321

01:06:47,229 --> 01:06:48,369

That's the only choice.

: 1322

01:06:49,149 --> 01:06:50,649

No other choice matters right now.

: 1323

01:06:51,649 --> 01:06:51,928

Jerremy Newsome: Yeah.

: 1324

01:06:51,932 --> 01:06:54,062

Ryan Kohler: gonna go into the trades

and you're gonna become a plumber,

: 1325

01:06:54,272 --> 01:06:58,262

then what marketing and sales agents

are you building to get you business?

: 1326

01:06:59,262 --> 01:07:00,912

still need agents to get you business.

: 1327

01:07:01,912 --> 01:07:02,302

Jerremy Newsome: Love it.

: 1328

01:07:03,302 --> 01:07:04,412

Remarkable chat.

: 1329

01:07:04,412 --> 01:07:05,822

Incredible conversation.

: 1330

01:07:05,971 --> 01:07:06,362

Ryan.

: 1331

01:07:06,362 --> 01:07:09,212

Sarah, thank you for your energy,

your enthusiasm, your knowledge, your

: 1332

01:07:09,212 --> 01:07:12,572

depth, your expertise in the field.

: 1333

01:07:12,572 --> 01:07:14,072

That just gives us insight

: 1334

01:07:14,171 --> 01:07:14,391

Sarah Montana: All

: 1335

01:07:14,672 --> 01:07:15,902

Jerremy Newsome: into what's going on.

: 1336

01:07:16,022 --> 01:07:21,272

For all of the listeners who received

so much value, feel, how can they

: 1337

01:07:21,422 --> 01:07:24,672

connect with you, follow you, learn more

about the work that you two are doing.

: 1338

01:07:25,672 --> 01:07:27,532

Ryan Kohler: For me, jump to refer.io.

: 1339

01:07:27,852 --> 01:07:28,932

we have a YouTube channel.

: 1340

01:07:28,932 --> 01:07:29,712

Go hop on it.

: 1341

01:07:29,712 --> 01:07:31,632

You can go subscribe

to job alerts on there.

: 1342

01:07:31,812 --> 01:07:35,052

Like you teed this up as Ryan,

you know, came from corporate

: 1343

01:07:35,052 --> 01:07:36,192

and build all these ATSs.

: 1344

01:07:36,192 --> 01:07:40,062

Right now I have 20 million active job

seeker subscribers that we teach AI

: 1345

01:07:40,062 --> 01:07:41,532

and help them through the job market.

: 1346

01:07:41,802 --> 01:07:43,002

And so go subscribe.

: 1347

01:07:43,362 --> 01:07:45,702

You'll get our emails, you'll get

our free AI advice and training.

: 1348

01:07:46,702 --> 01:07:46,822

Jerremy Newsome: Sick.

: 1349

01:07:46,981 --> 01:07:48,741

Sarah Montana: For me,

it's Sarah montana.ai.

: 1350

01:07:49,741 --> 01:07:50,701

Jerremy Newsome: Easy.

: 1351

01:07:50,821 --> 01:07:51,421

Easy.

: 1352

01:07:51,421 --> 01:07:55,951

You guys are so cool with your

with your dot, iOS and ais what?

: 1353

01:07:55,951 --> 01:07:56,821

Legends.

: 1354

01:07:57,091 --> 01:07:57,661

I love it.

: 1355

01:07:57,961 --> 01:07:58,741

Well thank you.

: 1356

01:07:58,771 --> 01:07:59,971

Thanks for both, for being here.

: 1357

01:07:59,971 --> 01:08:01,036

Really appreciate your time.

: 1358

01:08:01,896 --> 01:08:02,556

You are awesome.

: 1359

01:08:03,556 --> 01:08:04,386

Sarah Montana: Appreciate it.

: 1360

01:08:05,386 --> 01:08:06,286

Dave: All right.

: 1361

01:08:06,526 --> 01:08:07,546

What did you learn?

: 1362

01:08:08,075 --> 01:08:10,685

Jerremy Newsome: You know what stood out

to me on that one that I probably hadn't

: 1363

01:08:10,685 --> 01:08:12,185

thought about as much as I should have.

: 1364

01:08:12,665 --> 01:08:16,085

And I think this is a good

reminder of like, Hey, put it on

: 1365

01:08:16,085 --> 01:08:17,104

your calendar to think about it.

: 1366

01:08:17,104 --> 01:08:19,205

More space.

: 1367

01:08:20,205 --> 01:08:20,535

Yeah.

: 1368

01:08:20,625 --> 01:08:21,255

I mean,

: 1369

01:08:21,926 --> 01:08:22,376

Dave: Like space.

: 1370

01:08:22,785 --> 01:08:23,535

Jerremy Newsome: yeah, space.

: 1371

01:08:23,535 --> 01:08:24,045

Space.

: 1372

01:08:24,135 --> 01:08:24,585

Yeah.

: 1373

01:08:24,734 --> 01:08:25,365

Uh.

: 1374

01:08:25,526 --> 01:08:25,916

Dave: up there?

: 1375

01:08:25,916 --> 01:08:26,366

Space?

: 1376

01:08:27,180 --> 01:08:30,300

Jerremy Newsome: Because Ryan said,

Hey, that's, that's the next frontier

: 1377

01:08:30,720 --> 01:08:36,690

where if jobs we're gonna create more

jobs, maybe it's not here on Earth,

: 1378

01:08:36,899 --> 01:08:38,609

maybe it's just somewhere else.

: 1379

01:08:39,161 --> 01:08:39,431

Dave: Yeah.

: 1380

01:08:39,450 --> 01:08:41,365

Jerremy Newsome: And I was

like, yeah, I get that.

: 1381

01:08:41,365 --> 01:08:47,274

I mean, 'cause with SpaceX and a STS,

you know, space Mobile and Rocket Labs.

: 1382

01:08:47,451 --> 01:08:47,871

Dave: Mm-hmm.

: 1383

01:08:48,670 --> 01:08:52,390

Jerremy Newsome: There are gonna be a

lot of travel opportunities, and again,

: 1384

01:08:52,390 --> 01:08:58,600

the physical, laborious tasks that AI

can't do, that robots might, but we

: 1385

01:08:58,600 --> 01:08:59,955

will need more people to do something.

: 1386

01:09:00,826 --> 01:09:01,116

Dave: Yeah.

: 1387

01:09:01,120 --> 01:09:04,930

Jerremy Newsome: And I actually can also

even see a world where we do go back into

: 1388

01:09:04,930 --> 01:09:10,690

the agrarian world a little bit more to

actually make better, higher quality food

: 1389

01:09:10,809 --> 01:09:14,350

that's also sustainable and also available

for everyone so that people don't go

: 1390

01:09:14,350 --> 01:09:18,640

hungry all over the world, which is still

kind of mind blowing, but that happens.

: 1391

01:09:18,800 --> 01:09:22,710

I'd like, I think, I still think

that there's gonna be a beautiful.

: 1392

01:09:23,710 --> 01:09:29,380

Point in the not too distant future where

people make a pretty large divergence

: 1393

01:09:29,410 --> 01:09:34,630

of do we go down the route of prosperity

and abundance or fear and scarcity?

: 1394

01:09:34,731 --> 01:09:35,151

Dave: Mm-hmm.

: 1395

01:09:35,890 --> 01:09:37,600

Jerremy Newsome: when we start

going down this world of like

: 1396

01:09:38,050 --> 01:09:41,859

this route of world peace where

everyone's happy and healthy, and.

: 1397

01:09:42,490 --> 01:09:43,450

Non hungry.

: 1398

01:09:44,080 --> 01:09:48,220

That actually is a very obtainable, I

believe, and again, world peace, probably

: 1399

01:09:48,220 --> 01:09:53,890

not, but dropping the hunger rate,

dropping the access to clean water, so

: 1400

01:09:53,890 --> 01:09:56,740

it's not as high as it is, and there's

not so many people dying on a daily

: 1401

01:09:56,740 --> 01:09:58,960

basis from drinking terrible water.

: 1402

01:09:59,650 --> 01:10:00,940

Doing this in a more.

: 1403

01:10:01,945 --> 01:10:07,195

Democratize scale across the world

and having certain people that that

: 1404

01:10:07,195 --> 01:10:11,965

can get their time back from AI robots

or whatever, that actually have the

: 1405

01:10:11,965 --> 01:10:18,235

ability to now differentiate their

income, make it faster, make it quicker

: 1406

01:10:18,235 --> 01:10:21,835

so that they get more time so they can

actually go and do that purpose work,

: 1407

01:10:21,835 --> 01:10:25,525

that mission work that they feel that

they are instilled to do in their hearts.

: 1408

01:10:26,525 --> 01:10:27,635

Dave: I like both those things.

: 1409

01:10:27,695 --> 01:10:30,434

Yeah, I think that, yeah, that,

that does make me think, wow.

: 1410

01:10:31,434 --> 01:10:33,115

I think for me there

was a couple of things.

: 1411

01:10:33,355 --> 01:10:35,785

One was what look, sure.

: 1412

01:10:36,115 --> 01:10:37,675

Get on the AI train, right?

: 1413

01:10:38,425 --> 01:10:41,505

And And it's about doing the reps.

: 1414

01:10:41,575 --> 01:10:45,895

I think it was Ryan who said like,

you know, like every, every shot

: 1415

01:10:45,895 --> 01:10:49,135

on goal didn't start with, you

know, that wasn't the first shot.

: 1416

01:10:49,225 --> 01:10:52,915

And you know, like, it, it was, you

know, like you, you, you put in the time,

: 1417

01:10:52,915 --> 01:10:55,825

you put, you know, like you put in your

10,000 hours or whatever it is, and.

: 1418

01:10:56,635 --> 01:10:59,755

You know, like, I think, I think

you, you mentioned in like one of our

: 1419

01:11:00,025 --> 01:11:03,505

interviews somewhere, it's like somebody

was giving you, you know, giving you

: 1420

01:11:03,505 --> 01:11:08,515

grief about, you know, having, you know,

SOPs written down for your businesses,

: 1421

01:11:08,515 --> 01:11:13,315

and I'm like, dude, if only you knew

all of the are in your business.

: 1422

01:11:13,315 --> 01:11:13,945

Like, it

: 1423

01:11:14,064 --> 01:11:14,354

Jerremy Newsome: Yeah,

: 1424

01:11:14,665 --> 01:11:16,195

Dave: I, it goes for.

: 1425

01:11:16,510 --> 01:11:22,120

Miles, just, you know, for what, you know,

I've done for the work that we do, right?

: 1426

01:11:22,120 --> 01:11:25,870

Like, you know, the, the number

of, of AI agents, the number of

: 1427

01:11:25,870 --> 01:11:30,280

projects, the number of checklists,

you know, so that we have, you

: 1428

01:11:30,324 --> 01:11:30,443

Jerremy Newsome: I.

: 1429

01:11:30,520 --> 01:11:34,390

Dave: it was mostly set up for my

sanity and, and as a force multiplier.

: 1430

01:11:34,670 --> 01:11:38,870

You know, like, the, the work that

I'm, I'm doing is that 10 x right?

: 1431

01:11:38,870 --> 01:11:40,820

Like, or, or 15 or 20 x.

: 1432

01:11:40,820 --> 01:11:43,940

You know, I'm able to do things

that also, that I don't have any

: 1433

01:11:43,940 --> 01:11:46,360

expertise in, in, or anymore.

: 1434

01:11:46,660 --> 01:11:50,220

That's, that's the, you know, do

the reps get in there and, and use

: 1435

01:11:50,220 --> 01:11:53,520

it, you know, like after this, you

know, like I'll be deep in, after a

: 1436

01:11:53,520 --> 01:11:55,470

workout, I'll be deep in AI again.

: 1437

01:11:55,470 --> 01:11:57,120

It's gonna be doing all of our edits.

: 1438

01:11:57,120 --> 01:12:00,600

It's going to be, you know,

starting the, process of you know,

: 1439

01:12:00,600 --> 01:12:01,890

like publishing these things.

: 1440

01:12:01,920 --> 01:12:06,070

And, And also the, the, the other

work, you know, for, you know,

: 1441

01:12:06,070 --> 01:12:07,510

public speaking and the rest of that.

: 1442

01:12:07,510 --> 01:12:11,110

That's, that's all, you know, that's all

done through ais because, you know, like

: 1443

01:12:11,110 --> 01:12:13,630

I, I don't need a web developer anymore.

: 1444

01:12:13,690 --> 01:12:18,110

and I can bring like the latest and

greatest of, you know, how to do this

: 1445

01:12:18,110 --> 01:12:22,400

and to reach real people with, so like,

ai, go, go in and, and do your reps

: 1446

01:12:22,400 --> 01:12:24,620

and use it every day, like get in it.

: 1447

01:12:24,680 --> 01:12:28,520

And, know, I have found certainly

in AI that it's, it's not.

: 1448

01:12:28,840 --> 01:12:30,940

what you do with it, it's how you ask it,

: 1449

01:12:31,114 --> 01:12:31,404

Jerremy Newsome: Yeah.

: 1450

01:12:31,409 --> 01:12:31,509

Yeah.

: 1451

01:12:32,050 --> 01:12:32,470

Dave: with it.

: 1452

01:12:32,570 --> 01:12:35,420

you know, like it's, it's really

just getting in there and being, you

: 1453

01:12:35,420 --> 01:12:37,550

know, like developing your curiosity.

: 1454

01:12:37,550 --> 01:12:41,290

Not what to do, but, but, but

how to, you know, it's like,

: 1455

01:12:41,290 --> 01:12:43,030

it's the what am I not seeing?

: 1456

01:12:43,120 --> 01:12:44,620

And that's, that's the world of ai.

: 1457

01:12:44,680 --> 01:12:45,220

The other.

: 1458

01:12:46,100 --> 01:12:48,920

The other thing, man, I'm, I'm

struggling with, and maybe it's my

: 1459

01:12:48,920 --> 01:12:54,140

mood, which, you know, has been,

had, has had some headwinds of late,

: 1460

01:12:54,259 --> 01:12:54,679

Jerremy Newsome: Mm-hmm.

: 1461

01:12:55,679 --> 01:12:59,809

Dave: I find it a little bit bleak,

and a little bit dark for, for

: 1462

01:12:59,809 --> 01:13:02,839

me and my soul to say, Hey, you

know, like, this is all on you.

: 1463

01:13:02,929 --> 01:13:07,459

And we've heard this before from,

from other interviews that we've had.

: 1464

01:13:07,609 --> 01:13:08,899

Like, you've gotta do this.

: 1465

01:13:08,899 --> 01:13:12,709

It's all this individual, you know,

individual work, individual achievement,

: 1466

01:13:12,709 --> 01:13:15,829

individual, like it is up to you.

: 1467

01:13:15,919 --> 01:13:18,539

And for me, that lets.

: 1468

01:13:19,544 --> 01:13:21,014

It lets off the hook.

: 1469

01:13:21,104 --> 01:13:23,564

The business leaders,

it lets off the hook.

: 1470

01:13:23,594 --> 01:13:27,784

The, the, you know, the, the college,

folks, you know the guys, you know, people

: 1471

01:13:27,784 --> 01:13:31,114

running colleges, the people who are

running businesses, the people who are in

: 1472

01:13:31,114 --> 01:13:32,674

the community and the community leaders.

: 1473

01:13:32,674 --> 01:13:34,294

It's letting them off the hook and.

: 1474

01:13:35,114 --> 01:13:40,754

know, like every company that lays off one

person that is a failure of management.

: 1475

01:13:40,844 --> 01:13:44,234

You know, like that's a failure

of, of not seeing ahead.

: 1476

01:13:44,234 --> 01:13:47,024

That's a failure of not be, you

know, predicting, you know, a

: 1477

01:13:47,024 --> 01:13:48,584

layoff is not a positive thing.

: 1478

01:13:48,584 --> 01:13:51,193

It might be a positive thing

for your bottom line, but

: 1479

01:13:51,193 --> 01:13:53,054

it, it represents a massive.

: 1480

01:13:53,129 --> 01:13:56,469

Failure, you know, like, why are

we letting those folks off the

: 1481

01:13:56,469 --> 01:14:01,119

hook as far as their responsibility

or with, you know, government?

: 1482

01:14:01,149 --> 01:14:04,239

I'm, I'm not saying government

needs to come in and solve anything,

: 1483

01:14:04,239 --> 01:14:08,109

but we do need to keep all of

these people accountable, so.

: 1484

01:14:08,579 --> 01:14:11,669

You know, what I heard from Ryan

is like, look, you can't count on

: 1485

01:14:11,669 --> 01:14:14,429

those people and you don't want them

to because they are the ones that

: 1486

01:14:14,429 --> 01:14:18,799

are going to be, you know, holding

onto their power and the status quo.

: 1487

01:14:18,889 --> 01:14:23,659

And I like to at least believe

optimistically that, that we are,

: 1488

01:14:23,689 --> 01:14:25,489

we are more angels than demons.

: 1489

01:14:25,489 --> 01:14:29,779

That we, you know, that we, there is

a, a collective good that we want to be

: 1490

01:14:29,779 --> 01:14:33,919

able to put our heads down on the bed

evening and be like, you know, like,

: 1491

01:14:33,919 --> 01:14:35,359

I made the world just a little bit.

: 1492

01:14:35,374 --> 01:14:35,884

Better.

: 1493

01:14:36,034 --> 01:14:40,564

And so the individual part of that is

it's like, look, we want to attract

: 1494

01:14:40,564 --> 01:14:44,044

people into businesses knowing that

those businesses are also going to be.

: 1495

01:14:44,539 --> 01:14:48,079

careful in how they care for the

people that they work for, that the,

: 1496

01:14:48,139 --> 01:14:53,689

the employees are not just cogs in the

wheel and need to be replaced, which

: 1497

01:14:53,689 --> 01:14:56,359

is I'm increasingly kind of hearing.

: 1498

01:14:56,419 --> 01:14:59,869

It's like, ah, you know, like the

problem are the people and we want to

: 1499

01:15:00,169 --> 01:15:03,529

put in the robots and the AI and get

rid of these, you know, these, these,

: 1500

01:15:03,649 --> 01:15:05,689

you know, these, these meat suits and.

: 1501

01:15:06,693 --> 01:15:11,254

You know, and, you know, in academia,

you know, like how dare they allow

: 1502

01:15:11,254 --> 01:15:16,443

generations of children, to graduate

with so much debt and the inability

: 1503

01:15:16,443 --> 01:15:18,454

to think their way out of it.

: 1504

01:15:18,544 --> 01:15:22,534

And like the massive saddling

of, of, you know, like every.

: 1505

01:15:23,164 --> 01:15:25,054

Every weight that you

can put on their back.

: 1506

01:15:25,054 --> 01:15:28,744

I'm like, damnit, you know, like that

you, you had one job and you failed it

: 1507

01:15:28,744 --> 01:15:32,943

because, you know, like these kids are,

are, are, are getting out Without the

: 1508

01:15:32,943 --> 01:15:38,044

skills, without the, abilities and without

the ways of thinking and a ton of debt,

: 1509

01:15:38,104 --> 01:15:44,534

I'm like, damnit, you know, you know, like

if, if, if these folks, if these groups

: 1510

01:15:44,534 --> 01:15:49,214

of people aren't pulling together for

me, it's the same way of saying, well.

: 1511

01:15:50,214 --> 01:15:52,164

Parents don't have

responsibilities either.

: 1512

01:15:52,344 --> 01:15:54,564

You know, like if you know,

like your friends don't have any

: 1513

01:15:54,564 --> 01:15:59,034

responsibilities to you, you know,

like I have responsibilities for

: 1514

01:15:59,034 --> 01:16:02,574

my friends and my family and my

community and all of those things.

: 1515

01:16:02,574 --> 01:16:07,794

So I, I, I, I just, I can't hold it

in my heart to say it's all on me.

: 1516

01:16:07,884 --> 01:16:11,964

I think there is a, there is

a full force of of human that

: 1517

01:16:11,964 --> 01:16:13,404

needs to come together on stuff.

: 1518

01:16:13,794 --> 01:16:14,844

So, I don't know.

: 1519

01:16:14,994 --> 01:16:17,814

That's, I just, I just did a

lot of statement, not a lot

: 1520

01:16:17,814 --> 01:16:18,924

of like, what did I learn?

: 1521

01:16:18,924 --> 01:16:22,279

I'm like, ah, you know, ah, what's

: 1522

01:16:22,403 --> 01:16:25,073

Jerremy Newsome: learned that I haven't

heard the word meat suit in a long time,

: 1523

01:16:25,253 --> 01:16:29,213

and so we got meat suit and dous today.

: 1524

01:16:29,854 --> 01:16:30,144

Dave: yeah.

: 1525

01:16:30,503 --> 01:16:31,823

Jerremy Newsome: of those quite enjoyable.

: 1526

01:16:31,973 --> 01:16:37,253

Yeah, I heard a conspiracy theory once

that we are just spaceships for microbes

: 1527

01:16:37,702 --> 01:16:41,483

that live inside of us that just fly

us around to make us do their bidding.

: 1528

01:16:42,483 --> 01:16:43,473

Dave: I like that one.

: 1529

01:16:43,533 --> 01:16:43,713

Uh,

: 1530

01:16:43,807 --> 01:16:43,897

Jerremy Newsome: Yeah.

: 1531

01:16:43,923 --> 01:16:47,913

Dave: we are, we're just the, the

sex organs for the digital machines.

: 1532

01:16:47,913 --> 01:16:48,123

Is

: 1533

01:16:48,217 --> 01:16:48,667

Jerremy Newsome: Yep.

: 1534

01:16:48,783 --> 01:16:49,143

Dave: one.

: 1535

01:16:49,143 --> 01:16:49,202

I'm

: 1536

01:16:49,267 --> 01:16:50,767

Jerremy Newsome: That's,

that's a good one too.

: 1537

01:16:50,887 --> 01:16:51,847

Hashtag matrix.

: 1538

01:16:51,847 --> 01:16:52,597

What's up neo?

: 1539

01:16:52,627 --> 01:16:53,287

Hope you're listening.

: 1540

01:16:54,287 --> 01:16:54,647

Yeah.

: 1541

01:16:54,697 --> 01:16:56,077

a great, great podcast.

: 1542

01:16:56,077 --> 01:16:57,637

Great episode, great series.

: 1543

01:16:57,637 --> 01:17:02,937

We have two more, individuals coming up

that we're gonna interview and then we

: 1544

01:17:02,937 --> 01:17:08,037

probably are gonna start pivoting and

shaking it up and learning more about bi

: 1545

01:17:08,037 --> 01:17:12,416

and UBI, basic income, universal basic

income, other cool acronyms that are.

: 1546

01:17:13,022 --> 01:17:17,192

Revolving in and around that, and

that'll start kicking off in May.

: 1547

01:17:17,612 --> 01:17:18,422

Woo.

: 1548

01:17:18,452 --> 01:17:21,572

This is solving America's problems if

you are loving these episodes and getting

: 1549

01:17:21,572 --> 01:17:23,252

a lot of value out of them like I am.

: 1550

01:17:23,342 --> 01:17:28,772

I mean, I learned tons in today's

series that really are gonna kind of

: 1551

01:17:28,772 --> 01:17:32,972

reinvigorate me and getting me back

into using AI and using the prompts,

: 1552

01:17:32,972 --> 01:17:36,572

using the build outs, using the thoughts

that are all gonna come from that.

: 1553

01:17:37,082 --> 01:17:41,672

If you are getting as much value as both

Dave and myself are, hit those five star.

: 1554

01:17:42,672 --> 01:17:47,922

Review, share it with a friend who

might have a job or want a job, or

: 1555

01:17:47,922 --> 01:17:52,572

need a job, or would like to have a

job because this series just covered

: 1556

01:17:52,602 --> 01:17:55,212

so much value in relation to that.

: 1557

01:17:55,362 --> 01:17:56,262

Thanks for listening.

: 1558

01:17:56,412 --> 01:17:57,072

You rock.

: 1559

01:17:57,102 --> 01:17:58,752

Have a wonderful rest of your day.