In an era where AI can automate many tasks, the most valuable skills are those that complement AI, focusing on human ingenuity, strategic thinking, and physical interaction, rather than purely digital execution.
Mind Map
클릭해서 펼치기
클릭해서 인터랙티브 마인드맵 전체 보기
Imagine it's a few years from now. AI
can build almost anything, write almost
anything, and do most of the tasks
people used to get paid for. In that
world, [music]
I got to ask, what skill is still
valuable? I've been thinking about this
non-stop, [music]
and I've narrowed it down to six core
skills. None of them require a fancy
degree or connections, and all of them
could be started this weekend. And every
single one of them gets [music] more
valuable as AI gets better, not less. By
the end of this episode, you'll learn
the six most valuable skill sets on the
planet with some tips to get started.
I'm going to go through each of them
super clearly, so you'll understand
where the world is going, what you need
to learn,
>> [music]
>> and just concretely
how to get started. Let's not waste any
time, [music] and let's go right through it.
>> So, the first skill that I think is the
most valuable skill right now is
people who can set up agents properly,
manage them, and run local AI models.
This is basically the grown-up version
of prompt engineering. So, a lot of
people learned how to type a good prompt
into ChatGPT, which is useful, but the
next layer is being able to design a
little AI employee that has contacts,
that has tools, that has permissions,
that has memory, that has a goal, and a
way to check its own work before it
bothers you. That skill, that little
skill, is going to be valuable because
most companies are about to have the
exact same problem.
They're going to have 10 AI tools, 50
workflows, a bunch of half-working
automations, and nobody understands how
to turn that into an operating system,
which is what they really want. The
person who can walk in and say, "Hey,
here's a customer support agent, here's
a research agent, here's the sales
follow-up agent, here are all are all
the rules, here's what it's allowed to
do, here's where it needs approval,
here's how we know if it's working."
That person becomes really, really hard
to replace.
And the local AI part, which I've talked
about on this channel before, I've done
a couple videos on it,
is important because there are certain
workflows where privacy or cost, you
know, the prices of these models are
going up and up, latency or control
matter a lot. If you could run these
models locally with something like
Ollama, LM Studio, you start to
understand what can happen on your own
machine and what needs the cloud and
what needs to touch private docs and
what should stay behind the wall and how
this all interact. So, I think this
whole idea around local is going to be
more and more important as time goes on.
Even if, cuz a lot of people, you know,
in the comments will say, "Well, local
models are going to going smaller." Even
if local models go smaller, you learn
the architecture for the future. You
learn which jobs need a giant brain and
which jobs just need a reliable worker
that never sleeps. So,
what would I do? What's a rep I would do
to learn this skill set? The first rep I
would do
is simple.
Build a daily briefing agent for
yourself. Give it three sources. Give it
your calendar. Give it a folder of notes
and give it a few a few saved links. And
its job is to tell you what matters
today, what decisions are waiting for
you, and what follow-ups you owe people.
Then, you can add one rule.
You can say it has to show sources and
ask for approval before sending
anything. That one project teaches you
context, it teaches you retrieval, it
teaches you tool use, it teaches you
permissions, and it teaches you evals.
So, it might sound small and maybe a
boring first agent to build, but I I
believe that that is basically the shape
of every serious agent inside a company.
The mistake people, I think, make is
they try to build an all-knowing agent
first, these really big agent pro projects.
projects.
The better move is basically just to
build small agent to start, get it to be
very valuable, schedule it, have a clear
success metric, um and, you know, the
success metric might be did it save me
10 minutes? Did it catch something I
would have missed? Did it produce
something I would have actually used?
Um if the answer is that is yes, then
you're learning the skill.
So, that's the first
super super valuable skill. And by the
way, this is in no particular order.
These are just the six that, you know,
the more you know, the better. The
second skill is marketers who know how
to build distribution.
I think this one is underrated because
people confuse distribution with posting.
posting.
Uh distribution is way more deeper than
just like posting on social media. It's
knowing where attention already lives,
what people are already anxious about,
what language they use when they
describe the problem, and how to turn
that into trust before you ask them to
buy anything. And in AI world, we all
know building products are, you know, is
really easy. Uh building demand is just
getting more and more important. So,
when anyone can ship a landing page or
an app,
you know, or build a SaaS, uh the bottle
the bottleneck moves to the question of
can you make people care? And that's
where someone who's really good at
distribution uh is a pro app. So, the
marketers who are going to win in this
agentic era are going to be part
researcher, they're going to be part
storyteller, they're going to be part
media operator, and they're going to be
a part community builder. They're
basically going to know how to take one
insight and turn it into a tweet, uh a
short-form video,
uh a YouTube title, a newsletter angle,
a landing page headline, a founder
story, and a sales conversation. So, in
a sense, it's almost like a marketer is
becoming like a general a generalist
marketer. We're seeing this as a as a
greater trend, like people are becoming
generalists, they can do multiple things
because if the if their job is to manage
agents, uh they need to understand
different components of that. And that's
exactly what's happening in the
distribution marketing
uh world.
So, the first rep I would do if I'm
trying to learn distribution, uh is I
would do a distribution map. So, I'd
pick a niche I care about, uh like
dentists using AI or solo consultants,
maybe real estate agents, Shopify
operators, whatever. Could be a business
that you want to start or you you know
you're you've you're building already.
Then, write down the 20 places the
attention their attention
uh goes. Uh so, like the newsletters,
the creators they pay attention to,
maybe it's like Reddit threads that get
popular, Slack groups, podcasts, events,
search terms, the tools they already pay for.
for.
After that, write one painful sentence
they would actually say out loud,
something like
um I know I should follow up with leads
faster, but by the time I sit down and
do it, half of them are cold.
That sentence is where distribution
starts because you're getting you're
basically like
transporting or or yourself into their shoes.
shoes.
Um then you should do the second rep, so
the the evolution of this. Write 20
hooks for the same idea. Make some
curiosity hooks, some fear hooks, some
status hooks, some money hooks, some I
wish I knew this earlier hooks. If you
want to become great at distribution,
you don't you're not you don't want to
ask yourself, "How do I promote this?"
after the product is already done,
right? So, you want to start asking
yourself, "What existing desire am I
pointing this at?" before you built. And
I think that that shift alone, that
mindset is going to change the quality
of your ideas, and that's what makes
someone who's really good at, you know,
distribution in this era. So, you know, TLDR
TLDR
on on distribution
is you want to put yourself in their shoes,
shoes,
and you want to be this like part
storyteller, part um
uh researcher, part media operator, and
and really just have a lot of
shots on net in this in this world
because, you know, some some are going
to win and some aren't going to win.
Um and on this on the Startup Ideas
podcast, on this channel, um
um
you know, I'll share more of these tools
as as I'm learning in real time. So, you
know, feel free to like, comment, and
subscribe to to get more of this in your feed.
feed.
The third most valuable skill is
robotics engineers who can basically
build hardware, wire in AI, and source
manufacturing. Now, I know that most
people, probably a very small percentage
of people, actually has any uh
experience in robotics engineers. But,
the reason why I put this in here,
um before I explain exactly how to do
it, is because, you know,
software was an incredible business uh
for last 20 years, building SaaS. And
there's still opportunities in in
building SaaS, building consumer mobile
apps, enterprise apps,
but the mode is is moving to hardware.
And I'll explain more
uh I'll explain more about this.
So, um and by the way, I think a lot of
people are sleeping on this. Um
basically, the last decade, the internet
rewarded people who moved pixels around.
Uh I was one of those people. Um but the
next decade is going to reward people
who can move atoms around, too. That was
like my big insight. Um robotics used to
be this PhD-feeling thing, expensive
parts, custom hardwares, weird tooling,
long timelines. You had to go to school,
get a PhD in robotics to go and build
something like that. But now, the world
we live in is is a lot different. You
have this open-source robot learning
projects, you have cheap cameras, you
have low-cost arms, you have better
simulation, you have multimodal uh motor
models, and you have community-sharing
data data sets.
So, you have, you know, companies like
Hugging Face, who has Lo Robot, which is
basically trying to make robot learning
more accessible. And even on Hugging
Face, which is like a uh a d- almo-
almost like the way I think about it is
like a database of all these open-source
projects that you can go and download
those repos,
you can find something some some some
really interesting open-source
technology and inject it into a robot,
uh and who knows, that could be the next
big thing the next big thing.
Um there's low-cost arm projects like
SO-100 and the SO-101 ecosystem. And
there's also smaller uh
vision-language-action models like the
uh small VLA that are pushing towards
robot policies you can train and run
without needing some
uh giant industrial setup.
So, the interesting thing here is it
goes beyond the AI layer. Uh It's the
person who can make the whole loop work,
right? So, it can you get a cheap arm on
your desk? Can you mount the camera? Can
you collect demonstrations? Can you
train or fine-tune the model? Can you
make the robot repeat one useful task?
Can you look at a supplier listing in
China and understand if this thing's
actually manufacturable? So, the person
that can do all three, the building the hardware,
hardware,
wiring in the AI, sourcing
manufacturing, understanding that, come
on, that is just some skill set to to
know. And this is something that I'm
learning in real time
because I think it's so important.
If I wanted to learn this skill,
my first
rep would be extremely concrete. So, I
would buy
or assemble a low-cost robot arm. You
can add a cheap camera to that.
And then I would teach it one boring
task like sorting three objects,
pressing a button, or moving it from one
tray to another.
Then I would document every failure. The
camera angle was was bad maybe or the
lighting changed.
Maybe the gripper slipped or the data
set was too small.
The model looked smart in one setup and
then fell apart when the object moved
like 2 in.
That's kind of the point. This is how
you learn a skill.
Robotics specifically teaches humility
humility pretty quickly
and that's the humility that becomes
your expertise.
On the sourcing side, this is really
important. I would learn the basics of
working with suppliers. A lot of us
listening to this podcast, you know,
we're we're software people. We like
digital products.
But it's also important to learn
physical products, too, cuz of all the
opportunities that are coming. So, go on
Alibaba or similar uh, marketplace. I'm
not affiliated with Alibaba, um,
um,
and study how components are sold. Ask
for a sample before you talk about bulk.
Um, you can ask for motor specs, you can
ask for controller board details. Uh,
you can ask for CAD files if they exist.
Uh, replacement parts, lead times,
minimum order quantity, shipping terms,
and a short video of the part doing the
exact thing that you need. So, you're
you're going to be learning a new
language, um, and the language is, you
know, can this actually be made,
shipped, repaired, uh, and used by a
normal person?
Um, this skill is so rare, uh, because
it sits between worlds. Uh, software
people often avoid hardware,
um, and hardware people sometimes avoid
distribution and NAI. So, the person who
could connect open-source AI models,
physical prototyping, and manufacturing
has a shot at building things that feel
like science fiction, but sell like
practical tools, and I think there's
just so much opportunity here.
The fourth undeniable skill to learn
right now is curate- curators. So,
understanding how to curate, who are
good at yapping, and can do short-form
video in their sleep. I'm sure you've
seen these people, uh,
you know, yapping, uh,
on Instagram, and they're taking over
your algorithm. And I mean yapping in in
the best possible way. You know, the
internet is drowning in information, and
the person who can make sense, uh, of it
in public, um,
is, you know, very valuable. And
curation has evolved past past like,
here's five links in a newsletter,
right? Curation is like, uh, here's, you
know, five products that I think in this
niche that you'd really like, and
explained in a really storytelling,
really cool way.
So, the curator of the agentic era
watches the timeline and says, this
matters because {dot} {dot} {dot}." Like
they understand that. They can see a new
model demo or a weird startup launch or
a robotics clip, a policy change, a news
item, a pricing update, a story about
XYZ, and they can translate it for that
particular niche. What should you learn?
What should you ignore? What should you
try this weekend? What is hype? What is
actually useful? So, to be amazing at
content, this is sort of the big
insight, uh, which might sound obvious,
but the the the insight is like, you
know, you don't need to be super smart to
to
get millions of followers in social
media or or just doesn't even be
millions, get 50,000, 100,000 followers
in a niche and build an incredible
business around that, um,
um,
by creating net new content. You can
just look at what's happening in your
niche and curate really interesting
things in short form in an authentic
way where you're just yapping to your
phone and the algorithms right now are
prioritizing yapping. Why they
prioritizing yapping?
They are prioritizing it because they
are seeing AI slop move into the
timeline and people are getting tired of
that. People don't want that, right? So,
there's nothing more raw than authentic
and being like, "Hey, my name is Greg
Eisenberg and I suffered from XYZ, um,
until I found these like five really
interesting products or this story or I
met this person that helped me and let
me tell you about it."
That is the type of content that the
algorithms in the timeline are
promoting. So,
before I give you the rep, actually, I
would say like the yapping matters so
much, like learning how to yap is just
is is just such a good skill, um,
um,
and the people who are great at it,
frankly, uh, make you feel like you're
getting in this like group chat of a
research report because it's fast, it's
opinionated, it's useful, and a little
entertaining. Um you know those people
in your niche that you see them yapping
and you're like, "Oh my god, they're
Like I feel like I know this person,
right?" So, let's say you wanted to
actually, you know, become a curator
{slash} yapper or learn about it, I
would do uh a 7-day curation sprint. So,
for 1 week, pick a lane. Um maybe it's
AI agents for real estate, maybe it's
robotics for small businesses.
You know, whatever niche it is. But
every day, find three things and make
one short video using the same structure.
structure.
I saw this. Most people will think it
means this. I think it actually means
this. Here's the move.
That structure forces you to have a
take, which is the difference between
curation and forwarding links.
The thing with a lot of yappers and
curators that do what they do really
well is they have a take. They're either
anti-something or pro-something. So,
have a take, right? Um the key thing
here is you're going to want to build uh
you know, some people call a swipe file,
some people call it a taste file.
Basically, a document of examples you
love. Great hooks, great analogies,
great titles, weird use cases, comments
that reveal what people are like
genuinely confused about. Curators are
obviously only as good as their taste
inputs. So, if your inputs are generic,
your outputs are going to be generic. Um
if your inputs are weird and specific
and high signal, people are start are
going to start coming to you and
trusting you
because you consistently find the thing
before they do. So, it's worth you're
worth the follow.
Um so, that's an incredible skill set to
learn. Um the next skill set, uh the
fifth skill set,
is what I call the building distributor.
So, it's the person who can ship both
the product and get in front of people.
So, this might be the most important
skill set if you're a founder, if you
want to build a business, um
um
because for years,
uh there was this clean split.
Uh one person would build and one person
would sell.
You know, you'd have your Wozniak, who
was like the technical person, and then
you'd have your Steve Jobs, who was like
the marketer salesperson.
You know, one person writes code, one
person writes copy, one person makes the
thing, one person gets the attention.
And AI in this agentic world is com-
compressing the split.
So, one person now could prototype the
product, make the landing page, you
know, write the launch thread, you know,
make a video about it, record the demo,
DM the first 100 users, edit short-form
clips, iterate based on feedback,
pretty, you know, pretty much everything.
everything.
Um so, that person has the leverage
because they don't have to wait for the
handoff. They can complete the loop
themselves, so nothing really gets lo-
uh lost. So, the loop is the whole game,
because if you built something small and
you put it in front of people, uh watch
where they get confused, you know,
change the product, change the story,
try again. Most people only do half.
They build it in private forever or they
talk about it in public forever and they
actually never ship the thing. The
builder distribu- distributor uh learns
by cycling between both.
I think um
this is so cool because I think that,
you know, when people talk about the
one-person, one-billion-dollar startup,
you know, Sam Altman talks about it, um
you know, I think that person is going
to be the builder distributor. And when
you start seeing people like Peter who
who founded Open Claw, you can tell that
he's not only incredible at building,
like he built an incredible thing with
Open Claw technically, but he also is,
you know, if you go to his acts and you
just see how he speaks, he's an
incredible marketer, too. And and he's
incredible at, you know, doing customer
support and so many things just by
little things, you know, I don't know
him personally, but just little things
that I've picked up on.
This is one of those people, right? Um
so, let's say you want to be um
good at this skill. Well, you know,
what's what's a one quick thing that you
can start by honing in on your skill. So,
So,
I would do what's called a 48-hour loop.
So, pick one tiny problem you personally
understand, and then build the smallest
version with AI.
Um it can be ugly. Uh it can be a script,
script,
a form, a simple web app, an automation,
uh you know, anything. Then create 10
pieces of distribution for it before you
even feel ready. So, that could be one
demo video, three short clips,
you know, maybe three posts, two DMs to
people who have the problem, and then a
landing page. You're basically training
yourself to stop step separating the
product from the market. So, what's
powerful is that AI makes the building
part faster. We all know this.
So, the marketing part uh learning can
start way earlier. Uh you don't need to
spend now 6 months wondering if people
want it. You spend a weekend building
enough to earn a real reaction, and then
the builder distributor is dangerous
because now all of a sudden you can turn
attention into product feedback and
product feedback into better attention.
So, it's this beautiful loop that you
can end up uh be building. Um and the
only way to become an in in incredible
builder distributor is you got to spend
more time building, and then spend more
time launching and distributing, and
then building that loop. Um I talk a lot
about on this channel this concept of
the ACP funnel. It's how it's the future
of building businesses. You know, you
build audience at the top, then you
convert that to community, and then you
build a product there, and that's also a
loop that
uh you know, the builder distributor uh
is excellent at.
The last skill that I think is just so
valuable in this era is IRL community
builders. So, this one feels almost old
school, especially, you know, because we
talked about like AI robotics and
open-source technology and local AI, but
that's kind of like that's kind of why I
like it. Um as more work moves to agents
and chats and tools and feeds, real
rooms actually become more valuable.
People still want to meet other
ambitious people. Uh they still want to
meet people like them uh who are into
the same things that they might be into. Um
Um
and they also still want trust, and they
want energy, and they want to be around
others who who teach them things or who
are they just entertained by. So, AI
makes content abundant. Um it makes
software abundant. It makes advice
abundant. Um so, where does scarcity
move towards? Well, scarcity moves
towards belonging, trust, and contexts.
Who do you actually know?
Who would answer your text? Who would
help you hire?
Who would you intro- who would introduce
you to a customer? Who would tell you
the honest version of what's happening
in their market? The IRL community
builder knows how to create that. They
know how to pick the right room, set the
right topic, invite the right mix of
people, and create a ritual that people
want to come back to.
A great community is actually more like
a habit than an event.
Same time, same kind of people,
same promise, better conversations each time.
time.
The first uh rep, if I was trying to get
good at IRL events, which
by the way, I should I should note like
there's hundreds of millions or
you know, billions of dollars up for
grabs for people who can create
incredible events. And I'm not just like
pulling numbers well, you know, just
like randomly like you can look at huge
event companies
that just absolutely crush it selling
events. Like you know, if you even look
at tech like look at
SaaStr. I think Jason Lemkin created an
event all around SAS. And you know, I
think he's probably shared some of his
numbers like they're massive. If you
look at
South by Southwest, you know, these are
huge events.
You know, these are there's just a lot
of opportunity. I think that and I think like
like
in general
people don't want massive events
anymore. They actually want these kind
of smaller more bespoke events and
that's where the opportunity lies.
Okay, so let's say you wanted to get
good at being the IRL community builder
person. You know, what's one little
thing that you can do to learn the
skill? Well, why not why not host you
know, six seven eight people around one
sharp question?
So you don't start with this massive
event. You start with like a dinner or a
walk a hike a breakfast.
And the question could be you know, if
it could be something like
what skill are you learning because of
AI? Let's say if you wanted to build a
community around AI it would be
something like that. Or what are you
automating in your company right now or
what do you think everything in tech is
is missing? And then you invite people
who can actually answer it. Then after
the event you send a short recap with
the best quotes, inside jokes maybe
ideas and what one follow-up everyone
should do.
The recap is important because it turns
the room into a network. So that's the
whole goal with the whole IRL community
builder. How do you turn these rooms
into a network? Because that's what
creates memory. And it gives people a
reason to forward it. It makes the next
invite easier. So over time, the room
becomes a media asset, a recruiting
asset, a deal flow asset, and honestly,
a life asset. So I think this skill
pairs beautifully with others. The agent
person who can build tools for the
community, the marketer can grow it, the
curator can turn the best conversations
into content, the builder distributor
can launch products from it, the
robotics person can bring the weird
demos, and that's when it starts getting
really interesting. So,
um there you have it. Those are the six
skills that I think matter most in the
agentic uh era. So, TLDR, what are the
six skills? One, people who can set up
agents properly, manage them, and run
local models. Two, marketers who know
how to build distribution. Three,
robotic engineers who can build
hardware, wire in AI, and source
manufacturing. Four, curators who are
good at yapping and can do short-form
video in their in their sleep.
Five, the builder distributor, the one
person who can both ship the product and
get in front of people. And six, the IRL
community people uh the the IRL
community builder who's bringing people
into these rooms and starting networks
from an IRL perspective.
The bigger point of all this is
that the future favors the person who
can combine all these capabilities.
Um there's obviously too many tools to
know all of them, and the advantage goes
to the people who know how the pieces
fit together. Can you make agents uh
useful? Can you get attention? Can you
build physical things? Can you explain
what matters? Can you ship and
distribute? Can you bring together in
real life? That is that skill stack, and
this is the six skill stacks that, you
know, pick one and you know you don't
have to be amazing at all six but pick
one and get dangerous. You know pick two
and you have some leverage.
Um but pick three and you become you
know the kind of person that everyone
wants on the team in the room or
building the company.
Um we're in for a crazy next 5 10 15
years about what's going to happen
uh in the job market in the economy. No
one really really knows. But the one
thing we do know is that knowing these
skills or or skills in general it's
going to make you it is your defense. It
is your shield. You know I believe that.
So I wanted to make this episode because
um I think a lot of people like know
that they should be doing something but
they're not sure what they should be
doing. So I wanted to put just this into
one place that's really simple
easy to understand the six most
important skills. You know share this
with a friend who you know might might
and this might be helpful to. Uh hope it
hope it has been helpful to you. And
I'll see you at the next one. Thank you
텍스트나 타임스탬프를 클릭하면 동영상의 해당 장면으로 바로 이동합니다
공유:
대부분의 자막은 5초 이내에 준비됩니다
원클릭 복사125개 이상의 언어내용 검색타임스탬프로 이동
YouTube URL 붙여넣기
YouTube 동영상 링크를 입력하면 전체 자막을 가져옵니다
자막 추출 양식
대부분의 자막은 5초 이내에 준비됩니다
Chrome 확장 프로그램 설치
YouTube를 떠나지 않고 자막을 즉시 가져오세요. Chrome 확장 프로그램을 설치하면 동영상 시청 페이지에서 바로 자막에 원클릭으로 접근할 수 있습니다.
