The Future Of Work (How To Become AI-First)
By Dan Koe
Summary
## Key takeaways - **AI is rapidly surpassing human intelligence**: By the end of 2026, AI models are projected to be smarter than 99.9% of humans, challenging the future of many jobs. [00:06], [00:12] - **Become AI-first, not just an AI user**: The key is to integrate AI deeply into your workflow, refining prompts and building a library of AI tools that act as your employees. [01:55], [03:54] - **Automate tasks to master AI**: Practice by systematically documenting your processes and turning them into reusable AI prompts, refining them over time to achieve 90% of the desired outcome. [04:38], [10:43] - **Embrace change for mastery and meaning**: As AI automates routine tasks, focus on developing higher-level skills, pursuing work that offers mastery and meaning rather than repetitive labor. [20:30], [21:39] - **Attention is the ultimate differentiator**: In a world flooded with AI-generated content, unique human insight, trust, and genuine connection become the most valuable assets. [23:04], [24:52] - **Cultivate 1,000 true fans for income**: Focus on building a loyal audience of about 1,000 true fans who will support your work through various offerings, enabling a sustainable income. [26:07], [26:25]
Topics Covered
- AI will automate jobs, but not creativity.
- Master AI by automating your own work.
- AI is a tool, not a replacement for human ingenuity.
- Focus on mastery and meaning, not just survival.
- Cultivate 1,000 true fans for sustainable income.
Full Transcript
The top AI model is now smarter than 85%
of humans. By the end of 2026, it will
be smarter than 99.9% of humans. And you
think you will still have a job? That's
a post from David Patterson on X and
Elon Musk actually replied to this with
roughly correct. Now, let me overload
your brain for a moment because the CEO
of Fiverr, Micah Kaufman, sent out an
email last month to his team. So here's
the first part of it. You can read it if
you'd like. But the main things that I
wanted to focus on were the three key
points here, which is unpleasant truth.
AI is coming for your job and his job
and every job. Easy tasks will no longer
exist. Hard tasks will become the new
easy and impossible tasks will become
hard. Scream into a pillow, pick
yourself back up, and become
futureproof, as we're going to learn in
this video. And on top of that, other
CEOs like Shopify, the CEO sent out an
email telling his company that everyone
should become AI first. I mean, even in
this article, Dolingo is going AI first
and replacing contractors with
artificial intelligence. And so, that
scares a lot of people, right? Many
people don't know what to do. They don't
know what skills to learn. They don't
know what careers are going to be
around, what jobs are going to be
around. And while I have many thoughts
about this, in this specific video, I
want to give my main thoughts. How to
become AI first and what you can do
right now to prepare yourself for what's
coming. And I just want to say to start
this out, I truly believe that this is
one of the most incredible times to be
alive. You have so much opportunity
right now. You just have to one, find
out what it is and then take advantage
of it. And by the end of this video, I
feel like you'll have some clarity on
what you can do. So the first solution
here is to become AI first because there
are three types of people who use AI.
There's people who tried ChatGpt once a
few years ago and thought it wasn't
special. There's people who use various
AI tools for internet searches
summaries, and simple tasks that would
take maybe 10 more seconds to do without
AI. And then there's people who have
used it enough to see the light and are
using it in every place that they can.
Now, I have a lot of opinions on AI. I
don't think that it makes people
stupider. I don't think it takes away
your creativity, but I want this to be a
practical video, so I'll save that for
another. But what most people don't
understand is that the output of AI is
up to your skill and imagination. It's
not that AI isn't as good as you. it's
that you're not good enough at AI to
make AI better than you. Most people
think it's still just about typing
questions into chat GPT when that's not
the case at all. If you give an AI
extremely specific instructions on what
to do, and these can be long or short
it will do those quite well. Like I
recently posted on Substack how to
create a landing page for a digital
product and going through how to write
copy for that. And I included
instructions to create a prompt around
that to write copy. But there's so many
different things and moving pieces there
where if you ask the AI, hey, can you
help me write a persuasive landing page?
And then just expect it to spit stuff
out out of the box without guiding it in
a specific direction because you already
have the knowledge to do so, then you're
not going to get the best results.
You're going to get the best results if
you understand one how to find the best
instructions for AI because there's many
different ways to write a landing page.
You don't know which one the AI is
choosing. And then you have to have it
do a voice analysis of how you write so
it can write like you. You have to give
it your offer information. You have to
understand how to create an offer. You
have to put all of these little pieces
together for the output to be what you
would have created in the first place.
So it's still you creating the thing.
you're just doing a lot less work
because your prompts, the prompts that
you create and reuse and refine over
time are like your little employees now.
And of course, having AI do specific
tasks for you is only one piece of the
puzzle. And while it's not there yet, a
lot of people think like, oh, AI doesn't
give me that good of a response even if
I use a bunch of detailed instructions
it's not there yet. But it's going to
be. You may think like, oh, why should I
become AI first if it's not there yet?
And that's the exact point is if you get
to the point of understanding AI, then
by the time it does get there, you will
run laps around anyone else who didn't
learn it. So my biggest piece of advice
here to practice to learn how to use AI
is to try to automate yourself out of
work. And this will make sense, I
promise. But I want to start with a
quote. Being AI native isn't about
building features for your users. It's
an operating model for how to run your
company. It's how you work, how you
think, how you and your company breathe.
It's a rearchitecture, a rewiring, a
philosophical shift from how do we scale
humans to how do we scale decisions
creativity, and action with machines.
Now, what sparked this video is a
culmination of ideas that have just been
building up over time. And one of those
ideas is the notion of the selfdirected
career. So before industrialization
free individuals were mostly artisans
and farmers. The mark of a free person
was that they were meant to act on their
own interest and do many things
throughout their life. Around 80% of
free workers were self-employed versus a
mere 10% today. Now slaves on the other
hand were expected to perform one task
for the rest of their lives. It was very
repetitive. It was very mechanical. It's
work that machines are going to do now.
But during the industrial age when
machines started to come in, we just
found ourselves trapped in Excel sheets
and algorithms and factories doing this
repetitive work. So the question then is
will this AI revolution further remove
us from autonomy and freedom to act on
our interests? And it's absolutely
possible that most people will shift
from autopilot living to autocomplete
living, from having work assigned to
them to having work done for them. But
for those who value creative work and
taking control of the choices they make
their agency, there's another option.
Normally during technological
transitions, humans adapt by developing
higher level skills and forms of
knowledge. We abstract up a layer when
skills inevitably become less valuable
through automation. Now with AI, this is
kind of happening again. We have to
abstract up a layer beyond most of the
skills that we've learned. We have to
transition from labor to mind. While AI
can now think and execute as well as us
we must think about how we think in
relation to systems that could do the
thinking for us. So, as we continue, I
want you to keep this question in mind.
When should I leverage AI and when
should I do it myself? And that leads us
to the second idea of becoming AI first.
So, this guy, Signal, is one of my new
favorite anonymous internet thinkers. He
just has a lot of good uh information.
Now, this is a paid post, so uh I had I
had to pay. I subscribe to him. Uh I
hope you don't mind, man, if I show
this, but I I just want to show a few
examples here, right? So, he just pretty
much says most companies are falling
behind. Not falling behind, already
behind because they aren't AI first.
they aren't hopping on this
technological wave that we're going
through. But I want to show you a few
examples of what it means to be AI first
because I think this is he just put it
in a very easy to understand way. So in
terms of product or building a product
uh
nonInative has slow feedback loops
manual research, roadmap debates based
on opinion and then AI native is
summarize all user interviews in
minutes, generate road map options based
on feature request clustering, simulate
user behavior before launching anything.
So even as a creator, as a oneperson
business, imagine when you're developing
your own products, if you were able to
do all of this because then you don't
have to spend any of the time actually
doing that. You get to focus on the more
important things. So prompts here as
examples would be summarize the last 50
user interviews and cluster the main
pain points by frequency and intensity.
Suggest three product bets with highest
signal to noise. Given the user feedback
and usage data, write a product spec for
a new onboarding flow. include edge
cases and counterarguments. Now
something on social media in terms of
social media is like, okay, digest these
50 comments from my latest post and tell
me what people's biggest pain points or
interests or questions were from that.
And you can have that delivered to you
to give you more insight on the type of
content that you should create. And it
gives you a lot more insight than that
because you can also build products
around that and you can steer your
business with more relevant information.
Now there's engineering, there's design
but one thing marketing. So not AI
native, manual content, guessing what
resonates, slow campaigns, AI native
generate and test content at massive
scale, tune message to psychoraphics
not just demographics, live feedback
loops with creative optimization. So
example prompts are generate 10
variations of this blog post headline
tuned to five different founder
archetypes rank by project rank by
projected engagement and then write a
launch email in our brand tone optimized
for early adopters who have bounced from
the pricing page. So this is like crazy
right this is in incredible and you do
it with a sentence a single sentence
rather than hours of work. Now the last
one I want to go over is support. So not
AI native is human triage support reps
reanswering the same questions. AI
native is autosolve tier one issues with
247 LLMs summarize complex threads for
human escalations. Generate help center
content dynamically based on ticket
volume. I feel like a lot of this is
already happening in the support space
because we see these tier one issues
with 247 LLMs. What is really cool and
since I run a software startup Cortex is
that imagine just being able to
summarize a thread with a user that was
experiencing a problem and turn it into
some kind of documentation article for
the website that people can go and look
up at any time or that the 24 LLM 247
LLM can just feed to a person that has a
similar problem. So the question now is
how do you start so that you're ready
when that point hits? And my advice
again is to practice automating yourself
out of work. So how do we do that? When
you go to do any task, do this. Write
down the entire process in detail like
you were teaching someone how to do your
job, including thought processes or
creative processes. We're actually going
to talk about that specifically in a
future video where I'm going to talk
about the future of digital products
where I see information products going
like courses, coaching, freelancing
other things like that. what creators
have done for so long that are going to
see a drastic shift. The next step is to
assume that any task or piece of that
process can be done with a prompt. Then
you attempt to turn that task or piece
of that process into a prompt. Then you
test it, note where it doesn't do well
and refine the prompt until it's at
least 90% of the way there. Then you
store that prompt somewhere safe. And if
you don't know how to do that task, you
can ask AI for detailed instructions of
how to do that task. Now, this really
depends on the task that you're trying
to accomplish. For something like
creating content or a YouTube video, a
lot of the times you're just going to
get general advice because every creator
has their own way of doing those things.
It's a highly relative domain, right?
That's where AI isn't going to thrive
too much unless people give out their
own specific processes. So if Ali Abdal
and Alex Hormosi and I just started
asking AI without any direction like hey
how do I create my next YouTube video?
Here's the topic I want to talk about.
So on and so forth. We wouldn't get as
good results compared to if we were just
going to do it ourselves. So you need to
get more specific. You need to give
specific instructions to AI. So as an
example I can go to Ollie Abd Doll's
channel. I can take one of his highest
performing YouTube videos. I can spit
give it to AI and tell it to break down
the exact structure of the video. what
worked, what are the psychological
patterns he's using here, what's the
structure of the entire video, just
break it down in extreme detail, every
single line, why it works. Now, I have
detailed instructions that I can turn
into an AI prompt to recreate that with
my own ideas. And every YouTube video is
different. So, if you were to feed it a
video that didn't perform well and ask
for the same thing, then your video
probably isn't going to perform well.
And it completely depends on the topics
that you talk about and the types of
videos that you want to create so on and
so forth. So when people say like, "Oh
all of this content creator stuff is
just going to be automated out of
existence." That's not how this stuff
works. Another way to find specific and
useful information to feed AI in order
to do a task is just from a book or a
PDF. If you want to write uh copywriting
for a landing page or emails or whatever
it may be, you can upload the book
Breakthrough Advertising or Great Leads
or any other copywriting book and just
say, "Hey, summarize this. Give me the
exact very detailed way of writing
copywriting and then you have
instructions that you can feed AI turn
into a prompt to write that copy." Now
one of the most valuable things that I
have in my life right now is a very good
prompt that creates prompts. So, this is
actually a portion of what I taught in
that article that I posted on Substack.
But here's what I did really to write
landing to teach how to write landing
page copy or to turn copywriting into a
prompt that I can use over and over
again. Now, I could have gotten more
detailed with this, but what I did is I
used Gemini 2.5 Pro and I just said
"Research the book Breakthrough
Advertising and give me an extremely
detailed guide on how to write
persuasive copywriting." And it did just
that. It gave me an incredible guide to
for every step of persuasive
copywriting. Right? The reason this is
so incredible is because this would
usually take so long to learn in detail.
It takes a long time to be able to write
good copy. And if you don't want to
learn how to write copy, you want to
focus on your craft. You want to write
you want to build products, you want to
design stuff, whatever it may be, but
you know that you need to learn
marketing or sales or other things like
that. You can just create prompts, which
are little employees that do those
things for you that are 90% of the way
there, which is still much better than
0% of the way there. If you were to go
and write a landing page for a product
that you have without any of this
knowledge, it's not going to perform or
convert anywhere near as well as if you
were to do this. So, I had it spit out
instructions. And then from that, since
I like to structure my prompts in two
different phases
uh I said, "Imagine you were going to
write landing page copy for me using all
of these principles. What is all of the
information you'd need to gather from me
in order to write an incredible landing
page?" And so what it did from all of
this is it just wrote down all of the
context specific to me that it would
need. So the name of the product or
service, a description, the core
problem, the desired outcome and
benefit, the unique mechanism, the
unique selling proposition, target
audience, so on and so forth. So with
all of this, it's like I could continue
talking here and like somehow get it to
spit out a landing page, but it's so
much easier to take all of this
information, turn these into documents
that I can reference later, and turn
them into a metaprompt. So what I would
do here is I go to write incredible AI
prompts and I tell it what I want to do
right? So this is where I have the
prompt that creates prompts. So if I
want to turn something into a prompt, I
always go here and I do this very often
but I'll show you what it did.
So uh I want to create an AI prompt that
generates a 500 to 10,000word landing
page for a digital information product.
Structure your prompt in two phases.
Phase one context gathering acquire all
information you need according to the
information inside questions needed from
user. What that is is all of this this
second output. So all of the context
that it needs from me where I asked like
hey what do you need from me? So I gave
that here because I turned it into a
document and then I linked it so it can
reference it and then I just said ask
the user two to three questions at a
time to prevent overwhelm. And then in
phase two, write the actual copy. So use
the principles from how to write copy
which is the first answer to this
right? How to write copy is here. And
then it's very
long. So I save this as a document and I
fed it here. And then it says okay. And
then it created a prompt, but it did it
in a code block. And so I just told it
hey, do this in markdown format. And
then it broke it down into two phases.
So first it's going to interview me.
What does it need? What's my product?
What's my target audience? All of that
stuff. Then phase two, it takes all of
that and according to how to write copy
which it gives the or this is the
interview section of the
prompt. And then phase two, write the
landing page copy. So here's what you
do. Compelling headline, opening lead
problem desire intensification, so on.
benefits and proof, so on and so forth.
So, if I want to write a landing page, I
now have a prompt to do so. And all I
need to do is send that prompt, give it
my information, and then it will spit
out a first draft of a landing page
that's better than what most people can
create when they haven't learned
anything. So that's how I would become
AI first is just get really used to that
process is one figure out how to do
something. Write down the detailed
instructions, turn that into a meta
prompt so that you can run it over and
over again and refine the prompt over
time so it continues to get better and
then soon enough you have this library
of prompts that does most of your
workflow for you. But of course becoming
AI first isn't the only thing that you
need to do. That's just a skill that you
can practice developing right now. If
you do want to go deeper into that, uh
I have a free miniourse that I put out
that goes over multiple different
examples of kind of what we just did
but you can go and take that course so
you can just understand the process a
bit more. Now, on to the next section.
You have to understand that you're
probably going to have to change your
life, and that's a very good thing with
this section of the video. I'm not in
any position to tell people how to live
what they should do. I don't really
understand your situation. I don't
understand most people's situations. I
don't have kids to feed yet. I'm not
working two jobs. I'm just a 28-year-old
dude who likes to go on walks and write
and eat dinner out. Now, while I think
there definitely is something you can
do, you can still learn, you still have
some amount of time, and you can make
certain habitual changes in your life
that gives you more energy or gives you
whatever it is that you lack. And slowly
over time, you'll be able to get into a
better position. But to those people
specifically who have these very busy
lives, I don't know how to help you. So
this next section isn't really for you.
But for the majority of people who have
at least a few hours to spare and are at
least somewhat financially stable and
generally have a comfortable life
what's the issue? Why are you
complaining? Even though it's overblown
at this point and somehow still sparks
controversy, the average 9to-ive jobs
suck. And I'm not talking about
the 01% who can nap and sleep pods at
Google. We've collectively hated jobs
for decades now. Evolution solves
problems. And now that one of the most
painful problems in your life is being
solved, working a job, you are mad, you
don't really have any room to complain
here. You're presented with one of the
greatest opportunities of a lifetime
and you're still falling into the most
cliche trap of comfort and playing
victim and trying to hold on to your old
way of life when all good things aren't
permanent. You still don't realize that
if you work a job that a machine can
replace, your life probably lacks
novelty and meaning and fulfillment and
challenge and complexity and continuous
growth and learning. That alone is a
massive signal to do something new. And
this isn't an opinion. Those things
aren't opinion about things being
meaningful or fulfilling. That's
documented psychological patterns.
First, you fulfill your basic needs and
then you pursue your actualization
needs. And in order to stay in some kind
of a flow state, you need to gradually
increase the challenge that you can take
on over time because that demands that
you develop skills to match that
challenge. But if you get stuck in this
repetitive line of work where there is
no more challenge after a specific
point, you're just repeating the same
day day in and day out, that's not
fulfilling. That's not enjoyable. You're
not learning anything. you're not
evolving or growing as an individual.
Especially if you're spending 8 hours a
day, a third of your life there and
you're spending another third of your
life sleeping and then you're spending
the other third of your life scrolling
because you don't have anything better
to dedicate your time to because your
life is just set. You're doing the
repetitive work every day. There's
nothing more that you need to go after
or pursue. So for those who are amply
convinced now, you need to start
building things. The first point I want
to cover here is that what's left is
mastery and meaning because you have a
few years before you are either let go
or you keep your job and are eventually
let go or you upskill endlessly to take
on new roles in the company you work at
or you have to fend for yourself. AI
isn't just coming for companies and
programmers. It's coming for everyone
that has a brain. Now, I'm sure
somewhere in the far future we'll live
in a world where we don't have to worry
about money. But for now, we do. And
we're going to go through an acclamation
period where people are going to lose
jobs. We don't have anything in place to
help them out like UBI, whether you
agree with that or not. And that's going
to be painful for a lot of people. So
I'm trying to show you that there is a
way to do something other than your job
in order to make money. And what this AI
first world leaves us with is a mastery
and meaning economy. In other words
discovering and pursuing your life's
work. you know, the thing you could have
and probably should have been doing all
along. Now, I don't know if we're going
to be doing this in VR or on Mars or
somewhere in intergalactic space, but
for now, we do it on the internet. You
choose something you deeply care about.
You study, research, and master it
ruthlessly paired with an AI first
mindset. And you shamelessly share what
you know, what you do, and why you do it
in public. Because the only real safety
net in today's world is a body of work
that's impossible to ignore. And that
leads to the second point here, which is
attention is the only differentiator. As
the world is filled with more AI, trust
attention, and signal become more
scarce. Yes, the dead internet is
growing. There's a lot of content being
pumped out. There's a lot of bots on the
internet. Anyone can go into AI and be
like, "Hey, write me a tweet." And then
they can post it. Or create a YouTube
video and have the voice over in AI and
someone on the screen or some kind of
B-roll and they can post it. But from
the example before with the YouTube
title generation, that doesn't mean much
because they're not going to get good
results. They're not going to be able to
pivot and iterate and make those things
better to actually compete. It simply
means that the level of market
sophistication will continue to increase
rapidly. People will get bored of the
cookie cutter and the cookie cutter will
change every month. people will lose
trust in most content and that doesn't
account for the fact that you still have
to know what you're doing in order to
have AI create something unique and
compelling. Now, my advice is to use AI
to do the things you don't want to do as
a oneperson business. And the second
thing is don't give AI complete control
over the things you deeply care about.
Don't have it do the work for you. I
personally like writing. That's my
craft. not necessarily like the grammar
aspect of it or writing something that's
super poetic, but putting ideas on paper
in the way that I want them to uh be put
across or to be articulated. And when I
have AI take over that entire process
it doesn't feel mine. It doesn't feel
like I created anything. It doesn't feel
like I've given something that I care
about to someone else. Right? That's
where the meaning comes into play. But
for all of the other aspects, this is
why this is an incredible time to be
alive for many writers or creatives in
general is because you can focus on your
craft and people will see your unique
content and trust that thing. But now
you can do everything else that a
oneperson business or a business in
general needs to survive like the
marketing, the sales, the support, the
design, however big your business grows
it depends on that. But you can have AI
handle those things so that your writing
gets seen by more people. so that you
can sustain what you want to do with
your life. That's not inauthentic.
That's authenticity at scale. It's the
same thing as hiring employees to do it
for you. Because either way, you're not
doing that work. It's just necessary for
you to achieve your mission. Now, what
does that mean? It means you are the
niche. You are the differentiator, your
mastery, experience, and way of looking
at the world through a perception forged
by every bit of information you've
processed over the entirety of your
life. When AI makes 90% of the products
the same, nothing really changes. People
continue to buy from people and brands
that they know, trust, and care about.
It's less about building a salesunnel
and more about building a world that
people can explore. I wrote an article
about that as well. It's called How to
Build a World: The 2our Content
Ecosystem 2.0. So, I'll leave a link to
that in the description to check it out.
And now the third and final point here
and arguably the most important, is that
1,00 true fans is increasingly relevant
because most people don't want to be
famous. And even if you do, save that
goal until you're actually making a
living. That's what most people want.
And you don't need millions of followers
to get anywhere close to that. You need
about a,000 true fans. And honestly
it's even less than that because if
you're good at what you do, you can
charge $5,000 per client for a service.
You can charge $10 for a paid
newsletter. And yes, I'm on the Substack
kick now. Maybe I'll make a video on
that in the future about my thoughts on
Substack and where I think it's going.
But for now, it seems promising. You can
charge anywhere from $50 to $150 for any
type of product. And then you can create
spin-off products like a book or
software since anyone will be able to
code up an app that solves a specific
problem for buyers to buy again. Now, I
would argue that most people can live
just fine off of $5,000 a month. And if
you have a family and more
responsibilities than $10,000, $15,000 a
month, that's three clients. That's
three clients a month. I know if you've
been in the online business space, this
is like a cliche thing. It's like, oh
land one client or land three clients
and you replace your income. But it's
true. And if you have something like a
$10 subscription, which I really don't
recommend as a beginner, watch my last
video, which was a Q&A based on creator
tips. But if 500 people buy that
subscription, then that's $5,000 a month
recurring. It takes a lot more time to
get there because you have to sell a lot
more, but it's just an example of what
you can do. 500 people on an internet
that has four to five billion people
there isn't that much to ask for. You
can take a piece of your pie. And now if
over the course of a year you build out
an offer stack where you have a high
ticket product, you have a low ticket
subscription and you have a product in
between then you need like one person to
buy the high ticket a month. You need 10
people to buy the subscription. You need
10 people to buy the actual product. And
considering how attention flows on
social media, how people go on to follow
new people and other natural
fluctuations that those outside of the
game can't see, there's really more than
enough attention to go around. The key
here is that you treat it as the
opposite as your job. It's work that
evolves. It's work that demands
continuous learning. It's work with a
prerequisite that you have at least some
of your life together. The minute you
stagnate is the minute entropy
increases. And that's a wonderful thing.
Staying the same is the enemy of a good
life. Thank you for watching this video.
Check out links in the description to
Cortex, which is our note-taking and AI
software with all models and 25 plus
workflows in one place. You can
subscribe to my Substack for two free
weekly letters or you can check out the
premium version of that that has some
more bonuses. And other links to the
resources I mentioned throughout this
video are also in the description. So
like, subscribe. Thank you for watching.
Bye.
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