The speaker argues that in a future where AI can build almost anything and perform most paid tasks, six core skills remain valuable and become more so as AI advances. First, managing AI agents and running local models—designing AI "employees" with tools, permissions, and goals—is critical as companies struggle to integrate multiple AI tools into coherent systems. Second, marketers skilled in distribution, not just posting, understand where attention lives, craft trust-building narratives, and turn insights into multi-format content. Third, robotics engineers who can build hardware, wire in AI, and source manufacturing are poised to benefit as the focus shifts from software to physical products, thanks to open-source projects and low-cost arms. Fourth, curators who excel at short-form video "yapping" distill information for niches with authentic, opinionated takes, standing out as AI floods timelines with generic content. Fifth, the builder-distributor combines product creation and marketing, using AI to rapidly prototype and launch, creating a feedback loop between building and distributing. Sixth, IRL community builders create real-world rooms for trust and belonging, which become scarce as digital content becomes abundant. Each skill offers practical starting points, like building a daily briefing agent, mapping distribution channels, or hosting small dinners. Ultimately, the speaker emphasizes that combining these skills—picking one to master, two for leverage, three to be indispensable—provides a defense against AI-driven economic change.
Imagine it's a few years from now AI can build almost anything right almost anything and do most of the tasks
People used to get paid for in that world. I got to ask what skill is still valuable
I've been thinking about this non-stop 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 more valuable as AI gets better not less
By the end of this episode you'll learn the six most valuable skillsets on the planet with some tips to get started
I'm gonna go through each of them super clearly so you will understand where the world is going what you need to learn and just concretely
How to get started let's not waste any time 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 chat GBT
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's 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
It's 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 olama 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 because a lot of people you know in the comments will say well local models are going to go 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 wrap? I would do to learn this skill set the first wrap 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 save links and
It's 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 projects
The better move is basically just to build a small agent to start get it to be very valuable
Schedule it have a clear success metric
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
If the answer is it 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
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
Building demand is just getting more and more important so when anyone can chip a landing page or an app
You know or build a sass
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
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 a
Shoreform video 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 mark 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
They need to understand different components of that and that's exactly what's happening in the distribution marketing
World so the first rep I would do if I'm trying to learn distribution
Is I would do a distribution map? So I'd pick a niche I care about like dentist using AI or solo consultants
Maybe real estate agents Shopify operators, whatever could be a business that you want to start or you know
You're you're building already
Then write down the 20 places the attention their attention
goes
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
After that write one painful sentence. They would actually say it loud something like 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 yourself into their shoes
Then you should do the second rep so 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 know 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 on on distribution is
You want to put yourself in their shoes and you want to be this like part storyteller part
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 gonna win and some aren't gonna win
And on this on this startup ideas podcast on this channel
You know I'll share more of these tools as as I'm learning in real time
So, you know feel free to like comments and subscribe take to get more of this in your feed
The third most valuable skill is robotics engineers who can basically build hardware why are in AI and source
Manufacturing now. I know that most people probably a very small percentage of people actually has any
Experience in robotics engineers, but the reason why I put this in here
Before I explain exactly how to do it is because you know
Software was an incredible business for the 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
I'll explain more about this
so
And by the way, I think a lot of people are sleeping on this
Basically the last decade the internet rewarded people who moved pick
around. I was one of those people. But the next decade is going to reward people who can move
atoms around too. That was like my big insight. Robotics used to be this PhD feeling thing,
expensive parts, custom hardware, we were tooling, long timelines, you had to go to school,
get a PhD in robotics, go and build something like that. But now the world we live in 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 models, and you have community
sharing data sets. So you have companies like HuggingFace, who has low robot, which is basically
trying to make robot learning more accessible. And even on HuggingFace, which is almost like the
way I think about as like a database of all these open source projects that you can go and download
those repos, you can find something, some really interesting open source technology and inject
it into a robot. And who knows that could be the next thing. The next thing. There's low cost
arm projects like SO100 and the SO101 ecosystem. And there's also smaller vision language action
models like the small VLA that are pushing towards robot policies. You can train and run without
needing some giant industrial setup. So the interesting thing here is it goes beyond the AI layer.
It's the person who can make the whole loop work, right? So 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, wiring in the AI, sourcing, manufacturing, understanding that,
come on, that is just some skill set 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 web 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 bad maybe
or the lighting changed. Maybe the gripper slipped or the dataset was too small.
The model looked smart in one setup and then fell apart when the object moved like two inches.
That's kind of the point. This is how you learn a skill. Robotics specifically teaches 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 software people, we like digital products. But it's also important
to learn physical products too because of all the opportunities that are coming. So go on Alibaba
or a similar marketplace. I'm not affiliated with Alibaba. And study how components are sold.
Ask for a sample before you talk about bulk. You can ask for motor specs. You can ask for
controller board details. You can ask for CAD files if they exist. 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 going to be learning a new language. And the languages, you know, can this
actually be made, shipped, repaired, and used by a normal person? This skill is so rare because
it sits between worlds. Software people often avoid hardware. And hardware people sometimes avoid
distribution and AI. 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 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, you know, yapping on Instagram
and they're taking over your algorithm. And I mean yapping in the best possible way. You know,
the internet is drowning in information. And the person who can make sense of it in public
is, you know, very valuable. And curation has evolved past past like, here's five links in a
newsletter, right? Curation is like, 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 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, which might sound obvious. But the insight is like, you know, you don't need to be super smart
to get millions of followers in social media or just didn't even be millions, get 50,000, 100,000
followers in a niche and build an incredible business around that 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 gapping. Why they project prioritizing gapping. They are prioritizing it because
they are seeing AI slot 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
Heisenberg and I suffered from XYZ 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 and 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 such a good skill.
And the people who are great at it frankly make you feel like you're getting in this group chat
of a research report because it's fast, it's opinionated, it's useful and a little entertaining.
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/yapper or learn about it. I would do a seven day curation sprint. So for one
week, pick a lane, 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. 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?
The key thing here is you're going to want to build, 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. If your inputs are weird and specific and high
signal, people are going to start coming to you and trusting you because you consistently find the
thing before they do. So it's worth your worth the follow. So that's an incredible skill set to learn.
The next skill set, 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 because for years,
there was this clean split. One person would build and one person would sell. You know, you'd have
your was the act 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 compressing this 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 much everything.
So that person has leverage because they don't have to wait for the handoff.
They can complete the loop themselves so nothing really gets lost.
So the loop is the whole game because if you build something small and you put it in
front of people, watch where they get confused, change the product, change the story, try
again. Most people only do half. They build in in private forever or they talk about
it in public forever and they actually never ship the thing.
The builder distributor learns by cycling between both. I think this is so cool because
I think that when people talk about the one person, one billion dollar startup, Sam Altman
talks about it, I think that person is going to be the builder distributor.
And when you start seeing people like Peter who founded OpenClaw, you can tell that he's
not only incredible at building, like he built an incredible thing with OpenClaw technically,
but he also is, if you go to his acts and you just see how he speaks, he's an incredible
marketer too. And he's incredible at doing customer support and so many things just
by little things, I don't know him personally, but just little things that I've picked up on.
This is one of those people, right? So let's say you want to be good at this skill, what's
a one quick thing that you can start by honing it on your skill. 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. It can be ugly. It can be a script, a form, a simple web app,
an automation, anything. Then create 10 pieces of distribution for it before you even feel
ready. So that can be one demo video, three short clips, maybe three posts, two DMs, the
people who have the problem and then a landing page. You're basically training yourself to
stop 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 learning can start way earlier. You don't
need to spend now six 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 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 building. And the only way to become an incredible builder
distributor is you got to spend more time building and then spend more time launching and distributing
and then building that loop. I talk a lot about in this channel, this concept of the ACP funnel,
how it's the future of building businesses. 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 the builder distributor
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 because we talk about AI robotics and
open source technology and local AI. But that's kind of why I like it. 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. They still want to meet people like them who are into the same things that
they might be into. And they also still want trust and they want energy and they want to be around
others who who teach them things or who they just entertain by. So AI makes content abundant.
It makes software abundant. It makes advice abundant. So where does scarcity move towards? Well,
scarcity moves towards belonging, trust and context. Who do you actually know? Who would answer your
text? Who would help you hire? Who would you introduce you to a customer? Who would tell you the
on andist 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.
The first rep, if I was trying to get good at IRL events, which by the way, I should note,
there's hundreds of billions or billions of dollars up for God for people who can create incredible
events. And I'm not just pulling numbers just randomly. You can look at huge event companies
that just absolutely crush it, selling events. If you even look at tech, look at
Saster, I think Jason Lemkin created an event all around Sass. And I think he's publicly shared
some of his numbers, like they're massive. If you look at South by Southwest, these are huge events.
There's just a lot of opportunity. I think in general, people don't want massive events anymore.
They actually want these smaller, more bespoke events. And that's where the opportunity lives.
Okay, so let's say you wanted to get good at being the IRL community builder person.
What's one little thing that you can do to learn the skill? Well, why not host six, seven,
eight people around one sharp question? So you don't start with this massive event.
You start with a dinner or a walk or hike, a breakfast. And the question could be 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 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 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 there you have it. Those are the six skills that I think
matter most in the agentic 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 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 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. 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
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 sacks that pick one and you don't have to be amazing at all six, but pick one and get
dangerous. Pick two and you have some leverage. But pick three and you become the kind of person
that everyone wants on the team in the room or building the company. We're in for a crazy next
five, 10, 15 years about what's going to happen 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 skills in general,
it's going to make you it is your defense. It is your shield. I believe that. So I wanted to make
this episode because I think a lot of people know that they should be doing something, but they're
not sure what they should be doing. So I wanted to put 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, this might be helpful to you. I hope it, hope it has been helpful to you. And I'll
see you at the next one. Thank you so much and have a creative day.
Podcast Summary
Key Points:
AI will soon handle most tasks, making certain human skills more valuable—not less—as AI improves.
Skill 1
Skill 2
Skill 3
Skill 4
Skill 5
Skill 6
The future favors combining these skills; mastering one gives leverage, three makes you indispensable.
Summary:
The speaker argues that in a future where AI can build almost anything and perform most paid tasks, six core skills remain valuable and become more so as AI advances. First, managing AI agents and running local models—designing AI "employees" with tools, permissions, and goals—is critical as companies struggle to integrate multiple AI tools into coherent systems. Second, marketers skilled in distribution, not just posting, understand where attention lives, craft trust-building narratives, and turn insights into multi-format content.
Third, robotics engineers who can build hardware, wire in AI, and source manufacturing are poised to benefit as the focus shifts from software to physical products, thanks to open-source projects and low-cost arms. Fourth, curators who excel at short-form video "yapping" distill information for niches with authentic, opinionated takes, standing out as AI floods timelines with generic content. Fifth, the builder-distributor combines product creation and marketing, using AI to rapidly prototype and launch, creating a feedback loop between building and distributing.
Sixth, IRL community builders create real-world rooms for trust and belonging, which become scarce as digital content becomes abundant. Each skill offers practical starting points, like building a daily briefing agent, mapping distribution channels, or hosting small dinners. Ultimately, the speaker emphasizes that combining these skills—picking one to master, two for leverage, three to be indispensable—provides a defense against AI-driven economic change.
FAQs
The first skill is setting up agents properly, managing them, and running local AI models. It involves designing AI employees with tools, permissions, memory, and goals, and understanding local model deployment for privacy and control.
Start by building a daily briefing agent for yourself. Give it sources, your calendar, and notes, and have it summarize what matters, decisions, and follow-ups. Add rules like showing sources and requiring approval, which teaches context, retrieval, tool use, permissions, and evals.
Distribution is about knowing where attention lives and turning insights into trust before selling. As AI makes building products easy, creating demand becomes the bottleneck, so marketers who can research, tell stories, and operate media are highly valuable.
Create a distribution map: pick a niche, list 20 places their attention goes (newsletters, Reddit, podcasts), and write one painful sentence they'd say. Then write 20 hooks for the same idea, focusing on curiosity, fear, status, or money angles.
Robotics combines hardware, AI, and manufacturing, moving beyond software to physical products. With open-source projects and cheap parts, anyone can start, and the person who can build and source products has rare, valuable expertise.
Buy or assemble a low-cost robot arm, add a camera, and teach it a simple task like sorting objects. Document failures to learn, and study supplier basics on platforms like Alibaba, focusing on specs, samples, and manufacturability.
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