“Learn AI” Is Bad Advice. Learn These Instead

In this solo episode, I lay out the six skills I believe stay valuable as AI grows more capable. I chose these six because each one is open to anyone, each one starts this weekend, and each one rises in value as AI improves. I walk through agents and local models, distribution, robotics, curation, the builder distributor, and IRL community building, with one concrete first rep for every skill. My goal is to hand you one simple, clear map of where the world is heading and exactly how to begin. Timestamps 00:00 – Intro 00:57 – Skill 1: Running AI Agents and Local Models 04:51 – Skill 2: Marketers Who Build Distribution 09:03 – Skill 3: Robotics Engineers Who Build and Source Hardware 14:29 – Skill 4: Curators Who Yap and Make Short-Form Video 19:05 – Skill 5: The Builder Distributor 23:11 – Skill 6: IRL Community Builders 27:34 – Build Your Skill Stack Key Points I chose these six skills because each one rises in value as AI improves. Skill 1 is the grown-up version of prompt engineering: I design an AI worker with context, tools, memory, permissions, and a goal. Distribution beats posting, so I learn where attention already lives and turn it into trust before I sell. Hardware is the new frontier: cheap arms, open-source robot learning, and supplier sourcing put robotics within my reach. As the builder distributor, I ship the product and win the attention in one loop, which makes the one-person company real. Real rooms grow scarce and valuable, so I build belonging, trust, and context as my edge. Numbered Section Summaries The Premise: What Stays Valuable as AI Improves I open by picturing a near future where AI builds and writes almost anything, then ask which skills hold their value. I narrow it to six skills that anyone can start this weekend, each one climbing in value as AI gets better. Skill 1 — Agents and Local Models I describe the move from typing prompts to designing a small AI employee with context, tools, permissions, memory, a goal, and a way to check its own work. I add local models with tools like Ollama and LM Studio so you learn which jobs want a giant brain and which jobs want a reliable worker, and I suggest building a daily briefing agent with three sources as your first rep. Skill 2 — Marketers Who Build Distribution I explain that distribution runs far deeper than posting: it means knowing where attention already lives and the exact words people use to describe their problem. The winning marketer becomes part researcher, storyteller, media operator, and community builder, and the first rep is a distribution map plus 20 hooks for a single idea. Skill 3 — Robotics Engineers Who Build and Source Hardware I share my big insight: the last decade rewarded moving pixels, and the next decade rewards moving atoms too. With cheap cameras, low-cost arms like the SO-100 / SO-101, open-source work like Hugging Face LeRobot, and small VLA models, I suggest assembling a low-cost arm, teaching it one boring task, documenting every failure, and learning supplier sourcing on Alibaba. Skill 4 — Curators Who Yap and Make Short-Form Video I cover the curator who watches the timeline and says "this matters because…," translating new models, launches, and news for a specific niche. The algorithms reward raw, authentic yapping that carries a real take, and my rep is a seven-day curation sprint paired with a taste file of hooks, analogies, and titles you love. Skill 5 — The Builder Distributor I make the case that AI compresses the old build-versus-sell split into one person who prototypes the product, writes the launch thread, records the demo, DMs the first users, and iterates. The loop is the whole game, and my rep is a 48-hour loop: build the smallest version of one problem, then create 10 pieces of distribution before you feel ready. Skill 6 — IRL Community Builders I close with the old-school skill that grows more valuable as work moves to agents and feeds: real rooms full of ambitious people. Scarcity moves toward belonging, trust, and context, so I suggest hosting six to eight people around one sharp question and sending a recap that turns the room into a network The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Greg Isenberg?

  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, I gotta ask, what skill is still valuable? I've been thinking about this nonstop, 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 understand where the world is going, what you need to learn,

• 0:43Greg Isenberg?

  and just concretely, how to get started. Let's not waste any time, and let's go right through it.

• 0:57Greg Isenberg?

  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 gonna be valuable because most companies are about to have the exact same problem.

• 1:42Greg Isenberg?

  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 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 of 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,

• 2:27Greg Isenberg?

  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 interacts. 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.

• 3:11Greg Isenberg?

  So what would I do? What's a rep I would do to learn this skillset? 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 save 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.

• 3:55Greg Isenberg?

  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?

• 4:39Greg Isenberg?

  If the answer is that is yes, then you're learning the skill.

• 4:43Greg Isenberg?

  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.

• 5:28Greg Isenberg?

  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, 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 at. 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 short form video, a YouTube title, a newsletter angle,

• 6:10Greg Isenberg?

  a landing page headline, a founder's story and a sales conversation. So in a sense, it's almost like a marketer is becoming like a generalist marketer. We're seeing this as a greater trend, like people are becoming generalist. They can do multiple things because 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 dentists using AI or solo consultants, maybe real estate agents, Shopify operators, whatever.

• 6:53Greg Isenberg?

  Could be a business that you want to start or you know, 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 out 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

• 7:33Greg Isenberg?

  like transporting or yourself into their shoes. Then you should do the second rap. 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 don't, 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 build. And I think that that shift alone, that mindset,

• 8:16Greg Isenberg?

  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 going to win and some aren't going to win. And on this, on the 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,

• 8:58Greg Isenberg?

  feel free to like, comment and subscribe to get more of this in your 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 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

• 9:41Greg Isenberg?

  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 pixels 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, weird 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, is a lot different.

• 10:25Greg Isenberg?

  You have this open source robot learning projects. You have cheap cameras. You have low cost arms. You have better simulation. You have multi-model, model models. And you have community sharing data, data sets. So you have, you know, companies like Hugging Face, who has LoRobot, which is basically trying to make robot learning more accessible. And even on Hugging Face, which is like, almost, almost like the way I think about 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. And who knows, that could be the next big teen, the next big thing.

• 11:10Greg Isenberg?

  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?

• 11:50Greg Isenberg?

  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,

• 12:32Greg Isenberg?

  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 two inches. 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 software people. We like digital products.

• 13:17Greg Isenberg?

  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.

• 13:29Greg Isenberg?

  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 language is, 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.

• 14:14Greg Isenberg?

  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 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.

• 14:56Greg Isenberg?

  And the person who can make sense of it in public is very valuable. And curation has evolved past like, here's five links in a newsletter, right? Curation is like, here's 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, 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?

• 15:41Greg Isenberg?

  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, it doesn't even need to 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.

• 16:23Greg Isenberg?

  And the algorithms right now are prioritizing yapping. Why are they prioritizing yapping? 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 Isenberg, 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.

• 17:05Greg Isenberg?

  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 like 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 slash 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.

• 17:47Greg Isenberg?

  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 gonna wanna build, you know, some people call it swipe files, some people call it a taste file. Basically, a document of examples you love.

• 18:31Greg Isenberg?

  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 gonna be generic. If your inputs are weird and specific and high signal, people are gonna 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. So that's an incredible skillset to learn. The next skillset, the fifth skillset, is what I call the building distributor.

• 19:13Greg Isenberg?

  So it's the person who can ship both the product and get in front of people. So this might be the most important skillset if you're a founder, if you wanna 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 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 identic world is compressing this split. So one person now could prototype the product, make the landing page, write the launch thread, make a video about it, record the demo,

• 19:58Greg Isenberg?

  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 built 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 it 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.

• 20:39Greg Isenberg?

  I think this is so cool because I think that when people talk about the one person, $1 billion startup, Sam Altman talks about it.

• 20:50Greg Isenberg?

  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 X 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 one quick thing that you can start by honing in on your skill?

• 21:32Greg Isenberg?

  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 could 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.

• 22:15Greg Isenberg?

  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 be 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 on this channel, this concept of the ACP funnel, how it's the future of building businesses.

• 22:59Greg Isenberg?

  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, you know, 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, 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. 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.

• 23:42Greg Isenberg?

  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 are they just entertained 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? Who would introduce you to a customer? Who would tell you the honest version of what's happening in their market?

• 24:25Greg Isenberg?

  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, 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,

• 25:06Greg Isenberg?

  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 Saster, I think Jason Lemkin created an event all around SaaS. And, you know, I think he's publicly 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, and I think like in general, people don't want massive events anymore. They actually want these kind of smaller, more bespoke

• 25:44Greg Isenberg?

  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

• 26:29Greg Isenberg?

  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.

• 27:14Greg Isenberg?

  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.

• 27:57Greg Isenberg?

  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, the IRL community builder is 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?

• 28:42Greg Isenberg?

  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. 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. 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, you know, I believe that. So I wanted to make this episode because

• 29:27Greg Isenberg?

  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, this might be helpful to. 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.