EP 540 9 AI Skills to Replace Your Paycheck & Keep Family Time | AI Side Hustles for Parents

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These nine AI skills are creating multiple
streams of income in 2026, and most

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parents have no idea they even exist.

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I want you to picture this.

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It's 2029 and you're watching
your neighbor Jessica next door.

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She's packing up her own office,
not because she got laid off.

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No, no new.

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It's because she just
bought a bigger house.

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While you were debating whether AI was
just a fad or gonna take everyone's

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job, she was quietly mastering nine
specific AI skills that now generate

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passive income streams in her life,
exceeding her old corporate salary.

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And here's the kicker.

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She works fewer hours than when she was
climbing someone else's corporate ladder.

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The World Economic Forum projects
that 39% of key job skills will change

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by 2030, but these nine AI skills
separate the top 1% of earners from

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everyone else right this very minute.

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Your success, DNA podcast, your success.

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Is in your DNA.

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What is up?

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What is up?

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What the hell is up?

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My dark horse, friends
and family, welcome back.

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Another some episode of the Dark
Horse Entrepreneur AI Escape Plan,

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where we break free from the grind.

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We share some AI powered tips
and side hustle strategies.

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And of course, we support our parents
out there chasing freedom like

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the modern day is that they are.

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And if you know someone who dreams
of ditching the grind, but still

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makes a little time for bedtime
stories and nighttime snacks.

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Giving those hugs out there, go ahead
and forward this episode to them.

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Okay, so we're gonna be talking
about the nine AI skills that

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will replace your paycheck while
still keeping your family time.

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While 90% of organizations are out there
using ai, only about 9% have really gotten

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a handle on it, maybe even mastered.

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And how that gap is your
golden ticket to freedom.

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So the three things we're gonna cover
today, one is the $18,000 wage premium

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secret why AI skilled workers are
earning 56% more than their peers.

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Now you can join them without
going out there and getting

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a computer science degree.

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Second thing, we're gonna talk about
the automation goldmine, how automation

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focused AI roles surge to 44% of the AI
job postings out there, and why this shift

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creates massive opportunities for my smart
entrepreneurs, my smart parents out there.

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And the third thing we're gonna be going
over is the taste curation advantage.

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The one skill that separates AI users.

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From AI Masters and why it's more
valuable than any technical certification.

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Okay, so.

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Lemme start as I always do,
and, and here's what the career

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experts will not tell you.

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Ladies and gentlemen, the biggest career
opportunity of our lifetime is not

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happening all the way out there on the
West Coast in Silicone Valley boardrooms.

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It's happening in suburban
home offices at kitchen tables.

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Where parents are quietly building AI
powered income streams that are starting

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to dwarf their corporate salaries.

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Yeah.

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Uh, let me paint a picture
that might be familiar to you.

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It's Tuesday morning.

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Maybe it's about 7:30 AM You are
rushing the kid to get the kids

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ready for school while simultaneously
checking your emails, making lunches.

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Prepping, doing some prep work for dinner.

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You know all those emails
that arrived overnight.

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'cause your boss needs that report by
noon and you find out your daughter

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forgot a science project and you
are already calculating whether

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you are gonna be able to make it
to the parent teacher conference

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without having to take some time off.

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Sound familiar?

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Yeah.

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This is where Jessica was at about
two years ago and this is where her

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story takes a turn that most parents, I
think, currently believe is impossible.

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Today?

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Well, Jessica starts her morning
off with coffee in the back patio.

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No rush.

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No fuss.

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Yeah.

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Maybe lets the dogs out to
do their morning business.

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She takes her kids to school herself,
not because she has to squeeze it

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in, but because she wants to her
income, well, her income is about 40%

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higher than her old corporate salary.

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Her stress level.

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Well, in that case, it's
practically non-existent.

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What changed?

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You may ask.

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Well, she discovered that while 90%
of organizations now use AI in their

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operations, only about 9% of them,
maybe 10, have achieved AI maturity.

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That gap, that massive gaping
opportunity became her escape route.

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And here's the part I think is gonna
completely blow your mind a little bit.

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She didn't need a computer science degree.

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She didn't need years
of coding experience.

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She didn't need, need a
massive time investment.

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She needed nine specific skills
that most people, parents

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included do not even know exists.

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So let me break down those nine
skills, why they matter and how

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you can start developing them.

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This week, even if you are starting
at ground zero, heck, even if you

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are starting at a deficit, you ready?

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Okay, here we go.

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Skill number one, AI literacy.

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This is your foundation for everything.

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I want you to think of AI literacy
as the foundation that everything

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else is going to build upon.

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It's not about memorizing a bunch of
technical words and all the technical

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jargon that's out there, but it is
about understanding AI's capabilities

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and its limitations well enough.

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So that you can use it strategically.

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The OECD defines AI literacy through five
core competencies that every professional

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needs, and they are critical thinking,
collaboration, problem solving, self

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and social awareness, and communication,
critical thinking, that's evaluating

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AI generated content for accuracy.

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Bias, maybe even a little, uh,
you know, hallucination in there.

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Collaboration is working effectively
with the AI systems that are out there

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and their human colleagues side by side.

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Okay.

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Problem solving is knowing when and
how to deploy AI for maximum impact.

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Not every solution matches every scenario.

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Okay?

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Self and social awareness is
recognizing how AI influences decisions.

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As well as outcomes and finding
communication is explaining

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how and why AI is being used.

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To colleagues and clients.

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So for step number one, here's
your action step this week.

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Spend about 30 minutes a day experimenting
with chat BT or Claude or Gemini you.

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You pick whichever one you want
to try, but don't just ask it.

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Questions.

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Challenge its responses, right?

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Push it further.

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Ask it to explain its
reasoning, and notice when it's.

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Confident versus uncertain.

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Yeah.

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You, you'll, you'll be surprised
this builds your AI intuition faster

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than any course that's out there.

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Well, anyone I'm aware of anyway.

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Okay.

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Skill number two.

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Prompt engineering.

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When Anthropic posted, a prompt
engineer and librarian position

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was a salary of up to $335,000.

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The tech world out
there, they took notice.

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Mind you, this was not for someone
that had a PhD in computer science.

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It was for someone who could
effectively communicate.

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With ai, prompt engineering is essentially
programming in natural language, right?

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It's the difference between asking
AI to write something about dogs

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and instructing it to create a 300
word veterinary guide about golden

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retriever health issues written for.

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Pet parents was an eighth
grade reading level focusing

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entirely on preventative care.

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Completely different.

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You're gonna get two completely
different outputs there.

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And we went into quite a bit about prompt
engineering in the previous episode.

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Please go ahead and go and check
that out, but I'm gonna quickly

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give you here a four part.

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Prompt formula that you can use here.

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It's role context command
and format your role.

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Act like a eh, whatever you want it to.

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Uh, act like context.

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Give it all the relevant
background information command.

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You wanna give it clear specific
instructions on what it is you need and

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how it is you want it to spit it out.

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And that's where format comes in,
how you want that output structured.

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Entry level, prompt engineering
roles started out what, $90,000

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annually with advanced positions
exceeding 150 grand a year.

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And here's where the real money is.

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Freelancers on Upwork and Fiber, they're
charging 50 to 150 bucks per hour for

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prompt engineering services with top
performers out there earning six figure

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recurring revenues from repeat clients.

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So your homework on this one.

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Take one task that you do regularly.

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Maybe it's writing EOLs, maybe
it's, uh, social media posts.

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And develop yourself a master prompt
that gets consistent high quality

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results for you every single time.

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And again, go back and check out
that previous episode I talked

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about creating your own personal
master prompt in that episode.

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Skill number three.

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AI Tool proficiency.

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This is your productivity multiplier here.

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According to job posting Data
Chat, GPT, Microsoft copilot and

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cloud proficiency are among the
top five most requested AI skills.

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They want you to be proficient in
one or more of those areas, but

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the ecosystem is expanding rapidly.

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Open AI is GPT-4 and GPT five models
are getting new capability benchmarks.

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I don't know, I think the last
time I looked at it was like 5.6.

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While image generation tools like
Mid Journey and Dolly and others that

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are out there are creating entirely
new creative workflows, these aren't

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highly technical specializations.

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They're becoming as essential
as email or spreadsheet skills.

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And I'm gonna chuckle here for a moment
because I know some of you out there.

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Don't have email skills and
don't have spreadsheet skills.

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That's a whole nother
podcast topic right there.

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You need to have those skills, alright,
just, just that's my personal opinion.

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Their productivity gains are remarkable.

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70% of co-pilot users report being
more productive users, generally

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complete tasks 29% faster.

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Across searching, across writing, and
across summarization skills using ai.

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Microsoft Reports.

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Co-pilot is saving
employees an average of 10.

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Hours per month, that adds up fast.

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53% of professionals save an hour or two
on average per day using generative ai.

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53%. That's over half.

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Okay.

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But I think tool proficiency
goes beyond knowing what tool to

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use and what buttons it click.

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It's about understanding when
to use different AI tools for

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different tasks, how to integrate
them into existing workflows.

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How to maintain some quality
control while you're doing all that.

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So here's your start here point.

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For this one, pick one AI tool.

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And become genuinely proficient
with it before moving on to the

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next one, I just wanna mean by that.

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Master cat GPT for writing and then
master Claude for analysis and then master

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co-pilot it for productivity, right?

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Depth beats breadth every single time.

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Skill number four, critical AI evaluation.

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This, this is your bs.

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This is your bullshit detector.

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I'm gonna go ahead and
call it out right there.

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Here's where many people are
getting AI completely wrong.

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They either trust it blindly
or they dismiss it entirely.

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And trust me, I've been looking at some
of the comments on my YouTube videos.

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Some people are still dismissing it
entirely and saying that they're gonna

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actively squash it in the action.

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Okay.

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Maybe they will.

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I don't know.

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The real skill, I think, is in
knowing how to evaluate AI's

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outputs critically and systemically.

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Okay.

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A study in, uh, 2024 done by
the BBC found that AI assistance

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misrepresented news content.

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45% of the time.

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Yeah, almost half.

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Without proper oversight, relying
on inaccurate AI output can have

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some very serious consequences.

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I know I have, uh, tapped into
using AI for doing research in

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some of my podcast episodes.

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This one included, and I find I do have to
go and make sure it's not hallucinating.

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Okay.

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Critical thinking in AI context involves.

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These three skills verifying
whether AI generated information

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is accurate, relevant, and fair,
actively identifying potential

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misinformation and cross-referencing
outputs, and then understanding how

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AI systems can perpetuate or amplify
existing biases that are out there.

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Just saying, okay, so here's your
practice routine for this one.

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For every important AI output
that you create, I want you to ask

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00:11:19,134 --> 00:11:20,569
yourself these three questions.

242
00:11:20,569 --> 00:11:22,917
One, does this make logical sense?

243
00:11:23,386 --> 00:11:23,752
Two.

244
00:11:23,934 --> 00:11:27,195
Can I verify this information
via another source?

245
00:11:27,378 --> 00:11:31,578
And three, what may this AI be
missing or getting completely wrong?

246
00:11:31,839 --> 00:11:34,082
Okay, now that brings
us to skill number five.

247
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Skill number five is the
AI powered data analysis.

248
00:11:36,873 --> 00:11:38,700
This is your insight engine.

249
00:11:38,778 --> 00:11:41,413
Data literacy has always been important.

250
00:11:41,413 --> 00:11:43,891
I'm been a data geek for
as long as I can remember.

251
00:11:44,617 --> 00:11:47,826
Ai, I think is transforming
how we interact with data.

252
00:11:47,878 --> 00:11:50,330
It's really flipping it on its
head, flipping it on its butt, you

253
00:11:50,330 --> 00:11:54,113
might say, instead of spending hours
upon hours, cleaning spreadsheets

254
00:11:54,295 --> 00:11:56,095
or writing complex queries.

255
00:11:56,569 --> 00:12:01,369
Power data analysis lets you ask questions
like you're talking to a friend in

256
00:12:01,369 --> 00:12:06,273
natural language and really get some
sophisticated insights pretty damn quick.

257
00:12:06,378 --> 00:12:06,691
Okay.

258
00:12:06,847 --> 00:12:12,613
The average salary for an AI data
analyst, $30,000 per year with top

259
00:12:12,613 --> 00:12:15,221
earners making about 187 annually.

260
00:12:15,691 --> 00:12:16,082
Not bad.

261
00:12:16,443 --> 00:12:17,100
Right, right.

262
00:12:17,282 --> 00:12:18,143
Yeah, exactly.

263
00:12:18,378 --> 00:12:21,847
But you don't need a statistics degree
in order to develop these skills.

264
00:12:22,004 --> 00:12:26,647
The real power comes from combining
domain expertise and AI capability.

265
00:12:26,804 --> 00:12:31,473
A marketing professional who understands
customer behavior and can use AI to

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00:12:31,473 --> 00:12:35,647
analyze campaign performance is going
to outperform somewhere who just uses

267
00:12:35,830 --> 00:12:38,126
technical skills or just uses their.

268
00:12:38,339 --> 00:12:39,617
Marketing knowledge, right?

269
00:12:39,617 --> 00:12:41,417
They're gonna integrate the
two and they're gonna become

270
00:12:41,626 --> 00:12:43,243
a powerhouse to contend with.

271
00:12:43,426 --> 00:12:47,060
So here's do, you're gonna take
a spreadsheet that you work with.

272
00:12:47,700 --> 00:12:52,500
Regularly, maybe upload it to chat GBT or
whatever tool you choose and start asking

273
00:12:52,500 --> 00:12:57,352
it questions about patterns, about trends,
or any insights you may not be aware of.

274
00:12:57,534 --> 00:12:59,204
Heck, you might have seen some trends.

275
00:12:59,360 --> 00:13:02,126
Ask it if it sees it too, and
have it dig a little deeper.

276
00:13:02,256 --> 00:13:05,100
You'll be amazed at what
it will help you discover.

277
00:13:05,347 --> 00:13:07,747
Skill number six, AI
automation engineering.

278
00:13:07,852 --> 00:13:11,295
This, I think this is where the
real money lives, and this is

279
00:13:11,295 --> 00:13:13,017
where the real money is moving.

280
00:13:13,017 --> 00:13:14,060
That is for sure.

281
00:13:14,060 --> 00:13:17,582
From the things I've seen,
automation focused AI roles surged

282
00:13:17,713 --> 00:13:20,634
to 44% of all the AI job postings.

283
00:13:20,791 --> 00:13:24,600
Believe that was Q3 of 2024, so I
don't have the more recent data, but

284
00:13:24,626 --> 00:13:29,217
all those numbers overtook pure AI
development positions for the first

285
00:13:29,217 --> 00:13:30,969
time, since this has become a thing.

286
00:13:31,695 --> 00:13:35,243
AI automation engineers don't
build AI systems from scratch.

287
00:13:35,321 --> 00:13:35,973
No, no, no.

288
00:13:36,260 --> 00:13:40,486
Instead, they find ways to automate
current business workflows using

289
00:13:40,643 --> 00:13:45,834
existing AI tools and create recurring
revenue systems as a result of this,

290
00:13:45,939 --> 00:13:47,582
they might, here's some examples.

291
00:13:47,817 --> 00:13:51,495
Embed AI within HR to streamline
recruiting and onboarding.

292
00:13:51,765 --> 00:13:55,078
They may work across teams
to build efficiencies that

293
00:13:55,078 --> 00:13:56,852
directly impact the bottom line.

294
00:13:56,930 --> 00:14:01,052
They may create automated content
creation workflows that generate some

295
00:14:01,052 --> 00:14:04,886
passive income opportunities, and
they might even build lead follow-up

296
00:14:04,886 --> 00:14:06,478
systems that run on autopilot.

297
00:14:07,473 --> 00:14:10,604
All that grunt work that people are
spending hours and hours and hours doing.

298
00:14:10,734 --> 00:14:13,839
Now, those people are freed up to
do the human connection thing and

299
00:14:13,865 --> 00:14:18,586
the toolkit that they use includes
platforms like Zapier make.com innate

300
00:14:18,586 --> 00:14:22,891
and, and Microsoft Power automates,
um, all connected to AI services.

301
00:14:23,073 --> 00:14:26,830
Plus there's emergency frameworks
out there like Lang Jane for

302
00:14:26,830 --> 00:14:28,786
more sophisticated AI workflows.

303
00:14:28,865 --> 00:14:29,230
Here's the thing.

304
00:14:29,752 --> 00:14:34,082
Salaries on this one typically
start around 70, 70 grand a year

305
00:14:34,265 --> 00:14:38,308
with experienced professionals
earning over 150 grand per year.

306
00:14:38,308 --> 00:14:39,221
And here's the beautiful part.

307
00:14:39,404 --> 00:14:43,160
Unlike traditional programming roles,
which I started off way back in the day,

308
00:14:43,239 --> 00:14:45,169
they all required years of experience.

309
00:14:45,195 --> 00:14:48,273
You can become proficient
in AI automation tools.

310
00:14:48,517 --> 00:14:49,143
Within months.

311
00:14:49,273 --> 00:14:49,717
No joke.

312
00:14:49,847 --> 00:14:50,421
You really can.

313
00:14:50,630 --> 00:14:53,447
Okay, so here's, here's, here's
your starting point for this one.

314
00:14:53,447 --> 00:14:54,752
Your first automation project.

315
00:14:54,960 --> 00:14:59,239
Identify one repetitive task in your
current job or maybe in your current side.

316
00:14:59,239 --> 00:15:01,169
Hustle and research how to automate it.

317
00:15:01,621 --> 00:15:05,952
Using no-code platforms connected
to the AI services that you picked.

318
00:15:06,265 --> 00:15:09,839
So you go to a no-code platform,
like a N eight N or a make.com and

319
00:15:09,839 --> 00:15:14,534
connect it to clawed or chat GPT
and automate that repetitive task.

320
00:15:14,691 --> 00:15:16,073
Yeah, start learning now.

321
00:15:16,152 --> 00:15:18,813
Skill number seven, and I don't hear many
folks talking about this one out there.

322
00:15:19,069 --> 00:15:20,686
AI ethics and governance.

323
00:15:20,843 --> 00:15:22,017
This is your trust builder.

324
00:15:22,226 --> 00:15:27,417
As AI becomes more powerful, the
ethical implications grow just as fast.

325
00:15:27,417 --> 00:15:30,078
Heck, they probably grow
even more significantly.

326
00:15:30,286 --> 00:15:35,034
The demand for expertise in AI ethics and
governance has already grown rapidly with

327
00:15:35,060 --> 00:15:40,695
more than 100,000 professionals with these
skills now being requested annually, and

328
00:15:40,695 --> 00:15:43,604
this, this isn't just about compliance.

329
00:15:44,243 --> 00:15:46,199
It's about competitive advantage.

330
00:15:46,278 --> 00:15:51,626
A a striking 67% of consumers
are saying that they care about

331
00:15:51,652 --> 00:15:55,773
ethical AI use by the companies that
they patronize mentioned earlier.

332
00:15:55,773 --> 00:15:59,426
There's folks out there, uh, bucking the
system, the AI system a hundred percent.

333
00:15:59,608 --> 00:16:02,191
So you're gonna, you're gonna wanna
make sure it's being used ethically.

334
00:16:02,217 --> 00:16:05,243
A i ethics specialists earn
an average salary of about.

335
00:16:05,286 --> 00:16:11,626
$95,000 to $130,000 annually, and
the field is expected to grow 15%

336
00:16:11,704 --> 00:16:13,504
annually over the next five years.

337
00:16:13,556 --> 00:16:17,443
Some of the key competencies you're gonna
need here include understanding how AI

338
00:16:17,443 --> 00:16:20,313
systems can perpetuate discrimination.

339
00:16:20,856 --> 00:16:21,534
You heard that right?

340
00:16:21,534 --> 00:16:23,282
They can if they're not used correctly.

341
00:16:23,360 --> 00:16:28,082
Knowing how to audit AI outputs for
fairness, implementing privacy by design

342
00:16:28,082 --> 00:16:32,908
principles, and communicating AI decisions
transparently to all stakeholders.

343
00:16:33,091 --> 00:16:34,604
Here's your ethical
foundation for this one.

344
00:16:34,865 --> 00:16:37,760
Before implementing any AI
solution, I want you to ask

345
00:16:37,760 --> 00:16:39,560
yourself, how could this go wrong?

346
00:16:40,252 --> 00:16:44,608
Who might be negatively affected,
and how can I build safeguards

347
00:16:44,765 --> 00:16:46,330
against both of those scenarios?

348
00:16:46,565 --> 00:16:46,800
Okay.

349
00:16:47,113 --> 00:16:47,373
Okay.

350
00:16:47,634 --> 00:16:50,921
That brings us to skill number
eight, human AI collaboration.

351
00:16:50,921 --> 00:16:53,426
This, my friends, is
your force multiplier.

352
00:16:53,504 --> 00:16:56,739
The future isn't about
the humans versus ai.

353
00:16:56,739 --> 00:16:58,621
We're, we're not talking
about the matrix here.

354
00:16:59,217 --> 00:17:03,495
It's about humans with AI
versus humans without ai.

355
00:17:03,652 --> 00:17:07,982
According to a Stanford study, teams
that TR strategically mix human and AI

356
00:17:07,982 --> 00:17:13,434
capabilities together outperform those
that use AI even in far more limited ways.

357
00:17:13,591 --> 00:17:13,826
Okay?

358
00:17:14,086 --> 00:17:18,313
The key is understanding when to leverage
AI's strengths in data processing and

359
00:17:18,313 --> 00:17:23,765
pattern recognition, and when to rely on
human strengths in creativity and empathy.

360
00:17:24,273 --> 00:17:28,317
And in contextual judgment, the
partnership for the 21st Century

361
00:17:28,317 --> 00:17:31,708
Learning Framework identifies
four essential competencies,

362
00:17:31,839 --> 00:17:35,308
critical thinking, communication,
collaboration, and creativity.

363
00:17:35,386 --> 00:17:38,673
Here's your practice for this one,
for your next project, no matter

364
00:17:38,673 --> 00:17:42,873
small or how big it is, consciously
decide which parts that you'll

365
00:17:42,873 --> 00:17:46,917
handle personally and which parts are
you gonna delegate to ai, document

366
00:17:46,995 --> 00:17:48,539
what works, and then also document.

367
00:17:49,139 --> 00:17:51,565
What doesn't work, so
you can rectify that.

368
00:17:52,008 --> 00:17:53,913
Last but not least, skill number nine.

369
00:17:53,965 --> 00:17:56,939
This is continuous
learning and adaptation.

370
00:17:56,991 --> 00:18:00,956
This is your competitive moat, and
you're gonna make it bigger and bigger

371
00:18:01,217 --> 00:18:02,913
to leverage yourself to the max.

372
00:18:02,991 --> 00:18:05,860
This might be what I, I don't know,
the most important skill of all.

373
00:18:06,952 --> 00:18:12,430
This recent research has showed us
that 76% of employees believe AI will

374
00:18:12,430 --> 00:18:17,230
create entirely new skills that they
don't even know exist yet, and the

375
00:18:17,230 --> 00:18:21,352
professionals who position themselves at
the forefront of these emerging skills

376
00:18:21,482 --> 00:18:27,560
will capture a disproportionate value
with them in AI exposed jobs specifically.

377
00:18:28,278 --> 00:18:33,600
The skill requirements are changing
66% faster than in traditional roles.

378
00:18:33,704 --> 00:18:35,165
So here's what you need to learn here.

379
00:18:35,347 --> 00:18:38,347
Stay current with
emerging AI technologies.

380
00:18:38,426 --> 00:18:41,582
Rapidly prototype new
tools and new workflows.

381
00:18:41,608 --> 00:18:44,086
Build networks with in the AI community.

382
00:18:44,139 --> 00:18:46,643
Insert yourself into
that network and develop.

383
00:18:46,700 --> 00:18:50,456
Meta learning skills that
accelerate skill acquisition.

384
00:18:50,456 --> 00:18:54,865
You wanna learn them as fast as humanly
possible, find that area that you dislike.

385
00:18:54,943 --> 00:18:57,604
I love this part right
here, and dive in deep.

386
00:18:57,760 --> 00:19:02,926
The beautiful irony is that continuous
learning itself creates and becomes

387
00:19:02,952 --> 00:19:04,569
a competitive moat all by itself.

388
00:19:04,778 --> 00:19:10,047
While specific AI tools and techniques
will evolve rapidly, the ability to adapt.

389
00:19:10,439 --> 00:19:14,534
Learn will remain valuable
regardless of how the technology

390
00:19:14,534 --> 00:19:16,413
landscape changes over time.

391
00:19:16,465 --> 00:19:17,508
And we know it's gonna change.

392
00:19:17,769 --> 00:19:20,743
Just look back at the eighties to the
nineties with the introduction of the

393
00:19:20,743 --> 00:19:24,239
internet, let alone the computer, and
then how far we've come from there.

394
00:19:24,369 --> 00:19:27,526
Listen, if you're feeling
overwhelmed by me just dumping

395
00:19:27,526 --> 00:19:28,856
these nine skills on you, I get it.

396
00:19:28,960 --> 00:19:30,500
Uh, but here's what I
want you to understand.

397
00:19:30,786 --> 00:19:33,056
You don't need to master
all nine simultaneously.

398
00:19:33,356 --> 00:19:36,747
You just need to start with one,
and that's why I created the

399
00:19:36,773 --> 00:19:38,104
uh, AI Skate Plan newsletter.

400
00:19:38,130 --> 00:19:40,973
It's designed for parents like
you who are ready to break free

401
00:19:40,973 --> 00:19:42,095
from the nine to five grind.

402
00:19:42,147 --> 00:19:46,530
Each issue delivers practical AI
powered strategies to start, grow,

403
00:19:46,765 --> 00:19:50,391
and streamline your side hustles all
designed to protect your family time

404
00:19:50,391 --> 00:19:52,034
while still boosting your income.

405
00:19:52,295 --> 00:19:55,034
Think of it as your, your roadmap
to more money, more freedom.

406
00:19:55,452 --> 00:19:59,339
More of what truly matters to you, because
while everyone else is debating whether

407
00:19:59,339 --> 00:20:03,826
AI is the future, you'll be building
the future you want for your family.

408
00:20:03,956 --> 00:20:04,243
Okay?

409
00:20:04,478 --> 00:20:07,791
Now here's why I think all of
this matters At a deeper level.

410
00:20:07,947 --> 00:20:09,308
We are, and you know this.

411
00:20:09,856 --> 00:20:14,995
We are witnessing the biggest shift in
how work gets done since the Industrial

412
00:20:14,995 --> 00:20:18,308
Revolution, and again, since the,
uh, introduction of the internet.

413
00:20:18,334 --> 00:20:22,378
But unlike previous technological
shifts in the landscape, those

414
00:20:22,378 --> 00:20:24,334
all took decades to unfold.

415
00:20:24,334 --> 00:20:25,091
This one.

416
00:20:25,578 --> 00:20:30,091
Has happened in months and is continuing
to happen over the next few months.

417
00:20:30,143 --> 00:20:30,430
Okay.

418
00:20:30,665 --> 00:20:35,100
The AI skills revolution is creating
the biggest career opportunity, I

419
00:20:35,100 --> 00:20:39,560
think, in decades, but the window for
the early adopters is, is closing fast.

420
00:20:39,613 --> 00:20:41,543
Companies are moving from experimentation.

421
00:20:42,134 --> 00:20:47,273
Implementation from pilot projects to
company wide rollouts and deployments.

422
00:20:47,430 --> 00:20:48,891
So let's, let's be clear here.

423
00:20:49,100 --> 00:20:51,578
This isn't just about
technology, it's about freedom.

424
00:20:51,760 --> 00:20:55,595
The professionals who develop
these skills now will shape how

425
00:20:55,595 --> 00:20:57,608
AI transforms their industry.

426
00:20:58,095 --> 00:20:59,060
All industries.

427
00:20:59,139 --> 00:21:01,643
More importantly for my parents
out there, you'll have the

428
00:21:01,643 --> 00:21:04,304
leverage to work on your own terms.

429
00:21:04,486 --> 00:21:07,982
When you have these skills, the
future belongs to those who speak

430
00:21:08,034 --> 00:21:12,391
both languages fluently, the human
language and the language of ai.

431
00:21:12,469 --> 00:21:17,008
These nine skills represent your
translation dictionary for a world

432
00:21:17,008 --> 00:21:19,982
where bilingual compatibility
determines who thrives.

433
00:21:20,169 --> 00:21:21,656
Who's gonna get left behind?

434
00:21:21,760 --> 00:21:23,952
So here's your Whiskered
wisdom for this week.

435
00:21:24,134 --> 00:21:25,204
I want you to remember something.

436
00:21:25,360 --> 00:21:30,839
AI will not replace you, but someone
using AI quite probably will.

437
00:21:31,047 --> 00:21:35,065
The parents who are quietly building six
figure side hustles, they're not lucky.

438
00:21:35,273 --> 00:21:36,108
They're adapting.

439
00:21:36,186 --> 00:21:39,186
They're not waiting for permission
from anybody, or they're not

440
00:21:39,186 --> 00:21:40,830
waiting for the perfect time.

441
00:21:41,065 --> 00:21:42,473
They're starting with one skill.

442
00:21:42,534 --> 00:21:44,830
And mastering it and building from there.

443
00:21:45,013 --> 00:21:47,178
So here's your specific
action for this week.

444
00:21:47,386 --> 00:21:50,386
Choose one of these nine skills
that resonated with you, uh,

445
00:21:50,386 --> 00:21:51,304
in your current situation.

446
00:21:51,900 --> 00:21:56,465
Spend 30 minutes tonight researching
it, not planning to research it.

447
00:21:56,465 --> 00:21:59,517
Not saying I'm gonna research,
not thinking about researching

448
00:21:59,517 --> 00:22:01,526
it, but actually researching it.

449
00:22:01,839 --> 00:22:04,473
'cause here's what I've learned after
helping so many parents escape the

450
00:22:04,473 --> 00:22:09,013
grind, the gap between knowing and
doing is where your dreams go to.

451
00:22:09,643 --> 00:22:13,608
But the gap between doing and succeeding,
that's where your freedom lives.

452
00:22:13,739 --> 00:22:17,443
The AI revolution, guess what it's
happening with or without you.

453
00:22:17,547 --> 00:22:19,165
The question isn't whether you are ready.

454
00:22:19,347 --> 00:22:22,426
It's whether you're willing to
start before you even feel ready.

455
00:22:23,160 --> 00:22:26,030
Your family's freedom is waiting
for you on the other side of

456
00:22:26,030 --> 00:22:27,726
your willingness to just begin.

457
00:22:27,908 --> 00:22:29,395
Stop waiting for the perfect moment.

458
00:22:29,526 --> 00:22:30,934
Stop waiting for more time.

459
00:22:31,091 --> 00:22:34,769
Stop waiting for someone else to give
you the damn permission you already have.

460
00:22:35,108 --> 00:22:36,021
You can give it to yourself.

461
00:22:36,230 --> 00:22:38,369
The tools are here, the
opportunity is here.

462
00:22:38,578 --> 00:22:40,769
The only question left is are you here?

463
00:22:41,030 --> 00:22:44,082
With that, I'm gonna leave you as
I always do think successfully.

464
00:22:44,343 --> 00:22:44,604
Take action.