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How Will People Make Money in the AI Age?

25m 17s

How Will People Make Money in the AI Age?

The speaker argues that while the agentic era will not create a permanent underclass, owning certain assets will position people well as AI agents proliferate. He outlines 13 business types left to build. First, AI-native service firms let agents deliver most work, yielding high margins with few clients. Second, offline businesses like sauna clubs sell in-person experiences people still crave, though founders should start small. Third, distribution through organic audiences becomes more valuable as ad costs climb, following an audience-community-product funnel. Fourth, proprietary data sets represent a gold rush because labs pay heavily for unique information. Fifth, domain-specific harnesses wrap models with tools, memory, and workflow rules, succeeding where simple GPT wrappers failed. Sixth, robotics and physical AI, including window-cleaning services, present opportunities beyond engineering. Seventh, physical products with fan followings, like specialty coffee gear, can now be designed with AI. Eighth, compute and energy remain scarce inputs. Ninth, health, longevity, and elder care offer high-demand services. Tenth, marketplaces and social networks retain moats despite liquidity challenges. Eleventh, real assets and industrial real estate stay relevant. Twelfth, vertical agents handle recurring industry jobs like restaurant purchasing. Thirteenth, security—both software and physical—grows more critical as hacking risks rise. The speaker encourages listeners to explore these areas.

Transcription

4082 Words, 21588 Characters

English
Speaker 1Today we're going to talk about the only businesses left to build in the agentic era. Yes, I think that there's only 13 businesses to be building in the world of agents. Now, I don't subscribe to the people who say there's going to be this permanent underclass and you just got to create businesses or else you're kind of messed up for the future. I don't think it's going to be as dire as that, but I do think that in a world where agents exist, abundance are going to exist, owning these assets, I mean, are going to put you just in a better position. So today, what are we going to do? We're going to go through the 13 businesses that are left to be built. By the end of this, you're going to understand all 13 pretty well. Why there's an opportunity, why they're going to exist in a world of agents, a couple ideas. So, but, you know, grab your coffee, grab your tea, strap in because, hey, this is the stuff that, you know, if you're, if you're a teenager, if you're in 20s, you're 30s, 50s, 70s, this is good stuff to know because the world is changing and it is changing fast. So the first type of business that, you know, you'd want to own in an AI agent world is AI native service firms. What is that? Well, an AI. Native service firm is when the agents do more of the delivery. Now I've seen people say AI native service firms is when they do all of the delivery. I don't believe that's the case. I think you can still have the agent doing 90% of the work and still be an AI native firm. So as an example, you can create a bookkeeping firm for one type of business where, you know, you have client records, the agents prepare the books, and then the human reviews exceptions, and then you complete monthly. And you charge for the completed job. It could be a monthly fee, but it could also be, hey, every time we, you know, complete these books, it's going to cost X, Y, Z. Why is owning this business good? Well, it's high margin. You don't need that many clients. The why now exists when you have, you know, Astra 5.5. Some of these great. Models that are coming out soon, you know, you actually, they, you know, could get this incredible amount of output. So I'm really interested in AI native service firms. I did a whole episode on one recently. I'll include it in the description around creating a creative agency. So you can imagine doing like logos as a service or ads as a service, these sorts of things. Really like these businesses, super high margin and something I'm ideating actively around. The second is just generally offline businesses. You know, people, yes, it's an AI age, but we, you know, people actually want to pay to go and do something with other people. So one example of this is, you know, this, this company called Othership. I heard about them from the founder actually in Toronto where they started. And they've got this like neighborhood sauna club where there's, you know, you walk into the sauna. And it's like huge and there's other people and there's music and they, you know, there's someone who can help you do cold plunges. And it's just this incredible environment and tea. They basically leveled up the experience of a communal sauna. And I think now more than ever, you know, people want this sort of thing. And it's not cheap. It's really not. The visit itself could be, you know, I don't, I don't remember exactly what it is, but it's, it's not cheap. But it's an incredible experience and they sell a membership. So I think businesses like this that, you know, are on to trends, you know, here, the trends are obviously our wellness community. And you're just seeing them scale. They've been scaling in New York. And I just, I love these types of businesses, especially ones that have a membership model. So I think you're going to see a lot more like this. And you can run, you know, of course you can have agents do a lot of the admin. But the room, the experience is what people are buying. Now, the hard part about offline businesses, obviously, is that it costs a lot more money to start an offline business than an AI native service firm. Especially if you're creating an offline business in a place like Manhattan or Toronto, like place with high amount of real estate. So, you know, how I think about offline businesses is, you know, what is the food cart version of. Or food truck. What is the food truck version of your business? What do I mean by that? If you're going to start a restaurant, sometimes the best thing to do is to start a food truck version of it because it's just so much cheaper. And you can prove out that model that way. So the MVP, you know, what is the, what does that look like? And I actually think, actually, now that I'm remembering, I remember speaking to the founder about this. The first version of Othership was live. It was literally in the founder's backyard. He literally, like, made this in his backyard. And obviously, that didn't cost too much money. He started inviting friends, community members. And then he decided to get a place. So take it one step at a time. Third is distribution. So we live in this world now where you prompt a few times and all of a sudden you basically have a startup. But getting people to the products that you're building or people are building. Is harder than ever, honestly. And my belief is that the price of reaching people is going to get higher and higher. And actually, if you take a step back and look at what people used to charge for, for example, a Facebook ad. In 2009 or whatever, when the Facebook ad platform came out, they were literally charging five cents a click. Now the average click, you know, I don't have the exact data in front of me, but we're talking a dollar. Or two dollars. Like, you know, even more than that. Three dollars, four dollars, five dollars. Depending on who you're trying to target. And which country you're trying to target. So, I think that owning organic audiences is so, so, so important. And I think that even before you end up, you know, if you end up wanting to create an offline business. If you end up wanting to create an AI native service firm. Starting with the distribution. Building organic audiences. The cool part. The cool part about this is you can get paid to generate, you know, useful niche information. You get paid by advertisers to basically build your audience. And then you go and build the products that they ask for. This is something I call the ACP funnel. Audience, community, product. First you start with the audience. Then you build the community. Then you build the product. This is something that, you know, is a business model. I think people who own multiple, you know, meme pages. Multiple YouTube channels. Multiple Instagram audiences. Those people are going to do well in this era. So, I think number three, distribution. The fourth, which is actually not talked about that often, is proprietary data sets. So, I think that what you're starting to see is that data is just so valuable. Data is the new oil. You know, there's all these companies like Merck. Or Micro One. Who are selling data to the big labs. And are getting, you know, insane valuations. Billions of dollars. Hundreds of millions of ARR. It's absolutely insane. And so, that's the big ideas, you know, at the big idea level. Which is basically pay people for data. Get data that the big models don't have. And then basically market up to the big companies. The big labs. But if you're just a, you know, solo founder. And you don't want to go build something that big. And you want to create a business that might generate a few million dollars a year. Is just, how do you just get very useful information? And that people cannot get by using their personal agents. Or going to chat GPT. That sort of thing. And I think thinking about that is a really, really important thing. I think there's. There's going to be this gold rush for getting and acquiring data. I think we're in the first inning of that. And this is just a business that, you know, if you own data. You know, in this AI world. You're looking really good. The fifth is domain specific harnesses. Now, I feel like a lot of people throw the word harness around. And like, honestly, people don't really understand what it is. So, I'm going to take a second to explain to you. In just a second. As clear as I can. What a harness really means. And how is it different than a LLM model. So, you know, you can think of the model. Or I think of the model as basically the engine of the car. How fast it goes. And I think of the harness as the tools it can access. The workflow rules. The memory. The checks. Basically, everything around this. The engine, and if we use the car analogy we're talking about like the body we're talking about the steering wheel we're talking about um the floor mats you're talking about the color of the car the paint you know the electrical everything else that's the easiest way to explain it it's not it's not a perfect way of explaining it you know i am missing a few things but that's like the general way to think about so if you can take a general model and turn it into a system that understands how an industry works for example you know the example i was using is the operating system for a freight brokerage agent you know you're going to be able to have a lot of value you know we talked about the gold rush proprietary data sets i think you're also witnessing now this gold rush around harnesses i believe that harnesses are the new gpt wrapper two years ago we saw a lot of people create gpt wrappers initially for about 12 months people were saying gpt wrappers were you useless people weren't gonna weren't gonna be able to create any sort of lasting value with it or any value with it and we saw quite the opposite the well we saw a bunch of uh gpt wrappers go nowhere in the same way that you know startups 90 fail but i think the top 10 a lot of what happened is they turned into harnesses so they were they they started as a a wrapper focused on one model and as that model got better uh that service got better but they started adding things like here like they started adding industry tools and workflow rules and memory and then they became harnesses an example of that would be you saw a lot of that in the legal space harvey spell spell book i think it's called um so i expect to see a lot more of that i think there's a lot of opportunity uh here and by the way comment in the on youtube uh for if you ever want me to go deeper into any one of these services i'm going to be just let me know and i can create dedicated videos with some ideas and that sort of thing and also while you're at it like this and if you're on spotify or apple please uh rate rate at five stars because we got some a few low stars uh uh so from from back in the day so let's try to get it up the sixth is uh robotics and physical ai so um this one uh a lot of people think that it is uh a lot of people think that it is a good thing that it's a good thing that it's a good thing that it's so far away in the future that it's like the jetsons uh just like really in the future but i don't think people realize that we are like almost there i saw this new product called osmo i think they raised like six or seven million dollars recently um and they are literally doing window cleaning as a service um so building owners pay for clean windows and then you deploy and operate the equipment or they they deploy and operate the the equipment and it's just a beautiful business right the hard part is obviously building these companies right but i think that you're going to see a lot more robotics and physical ai um and actually the best way to i saw a really good tweet by my friend brian norgaard and he said i think the best way to sell software is by selling hardware and i think you're going to see a lot of that so a lot more businesses like that and for the people listening who are like i'm not going to go and create a robotics company what do i know about you know all this phd stuff well i think there's going to be an opportunity for you to maybe buy a few and rent it to people or buy you know if you're into sales you can go and sell them you know there's a lot of opportunity doesn't necessarily mean you need to be an elon musk character to go and like figure out what these things are and build them you can also be on the marketing side and i think there's going to be a ton of opportunity number six number seven uh physical products with a fan following um so this is the i'm sure a lot of you know that i love coffee um and i'm a bit of a nerd like that um specialty coffee equipment is um an example of like people get like so nerdy about it and they're willing to pay high price for well-designed things um and when fellow came out like there was nothing like this a lot of the this is um a kettle so a lot of the kettles didn't really feel like they were designed for coffee people and then this came out and it started you know they started crushing it now they have a huge product suite of different um of different products like i got a fellow grinder back there by the way not affiliated with uh with fellow just just again like a fan um and uh i think there's a ton of opportunity to just like create these niche products i also think with uh heart uh just ai like for example uh you know astra and the latest new models you can actually design hardware and physical products um that were too niche before um you can go and do that now so if you have the insight for a particular fan following or particular icp you can go and buy i think the device is like the bamboo uh it's a chinese device and you can go and like prototype um some of these new products and then you know obviously mass produce it sell it uh another friend of mine uh or a friend of mine started something called the minimal company and those are phones that uh are focused on people who don't want to scroll and i think they they did millions of dollars on their uh kickstarter again that's like a fan following i you know apple's not creating that product so there's a lot of opportunity i think there's a lot of pent-up demand for specific uh products here um and especially the ones that can go viral in that niche so if you have if you have if you i really do want to do an episode around like physical products how to use ai to create them so hopefully you guys are into that um number eight compute and energy um we can't forget that every agent needs chips electricity cooling and somewhere to run so if you own that scarce input um hey that is a good place to be saw just the other week crusoe raised 3.9 billion dollars for its vertically integrated ai infrastructure platform um so you're just seeing that i think uh michael dell's son uh is raising billions of dollars for his you know energy uh company um you're just seeing people people need compute people need energy these are the scarce inputs of our time so if there's any way that you can go and uh be involved in some of these businesses probably do pretty well number nine health longevity uh and care uh i i've talked a lot about on the startup ideas podcast on this podcast about uh older adults i think older adults are missing it's just like a an icp that a lot of people especially younger people are not creating for but they need products they need services um and there's you know any way we can do that we can make their lives happier and healthier i think would be a great thing so i think there's tons of ideas products services um that are actually high quality that have a high nps that are exceptional that you could be creating um and then also from a service business perspective care uh there's a lot of opportunity there um helping older adults um and and just like owning agencies in that space uh for example caregivers and things like that a lot here um and uh obviously hard businesses to do a lot of those service businesses to run um but great great businesses and also you know you're doing a good thing by caring for for folks and then the longevity piece i mean i feel like brian johnson really kicked off this whole you know don't die movement um he's been doing this for a long time and he's been doing this for a long time and he's really well he didn't kick it off he kind of tapped into it he he was like i'm the guy um so you know health maybe that was huberman longevity maybe that was uh brian johnson um there's still opportunity to go and be the gal or guy in that space if you just you know i go down a niche niche down but point is there's a lot of opportunity here a lot of business to be create to be created and i think a lot of on a lot of demand uh to tap into the 10th is marketplaces and social networks now a lot of people are not creating these products and startups anymore when i first came to uh silicon valley uh and it was just the thing we're talking 2013 2014 2015 that era you know creating things like uber which match you know drivers and customers creating things like uber which match Things like Thumbtack, which was like super. services to find a handyman and things like that. And social networks, Instagram, TikTok, things like that. The thing is, on one hand, I love these businesses because if you're able to create it, you do truly have a moat. But liquidity, meaning making sure you have both the demand and supply at the same time, is an art. I feel like marketplaces and social network is more art than science in that way. But I think there's tons of opportunities right now. Mark Liu, who some of you know, created a marketplace around selling startups and buying startups, TrustMRR.com. So you're starting to see people come back to marketplaces and social networks. But I feel like it's a great thing to own, co-own, be a part of if you can. Personal agents are going to want to access marketplaces, they're going to want to access social networks. The data that comes from, both these things are really interesting. I love these businesses, so had to put it in there as well. I think just in general, just like real assets. So the example I have here is small industrial workshops rented to local trades. And trades in general, by the way, like electricians, cabinet makers, plumbers, physical assets, warehouses, industrial warehouses, things like that. We can't forget that you need a place to have a location, a property for a lot of the new world that we're entering in. So literally physical locations and real assets, real estate, I think still going to be a really interesting business. Vertical agents, number 12. So just giving an agent responsibility for a recurring job in a specific industry. The example I have here is purchasing for indie restaurants. So you have checking stock, comparing supply offers, ask for approval, place the order. I feel like people have been building vertical agents for the last 12 months, but I still think there's a ton of opportunity to build, like we talked about, harnesses and to build agents. And last but not least is security. People need security more than ever in the AI age. Now I'm talking about two types of security. I'm talking about software companies like 1Password. I'm talking about companies like CloudFlare who have a lot of security AI features. I'm talking about the example I have here, agent access control for accounting firms that allow you to just read invoices and draft entries that would allow you to do that. But basically thinking about sensitive workflows and then working through firms' and existing IT providers and just having access controls so that data doesn't get leaked and things don't get hacked and things like that. I think that's one piece of it. Just security in the agentic era. Things are going to get hacked. This is going to be more and more of a problem. I wouldn't be surprised if one of the personal agent startups or just agent startups, there's a big, a big hack security breach and things get put on the internet. I think that might happen. I think it's going to happen. I think it's actually, it's going to happen more and more. So people are going to want security and owning those assets and businesses are going to be great. And then actually security in general. I think there's Uber, I forget the name of it, but it's like Uber for bodyguards and you get a car and it's bulletproof and stuff like that. I think there's going to be more of those businesses. People feel less and less secure. So they're just going to want to pay for security in general. A lot of security businesses I'm really interested. And that's what I'd want to own in this world. I mean, I'm not saying, like I said in the beginning, I'm not saying to escape the permanent undergrads, you need to own a piece of this. But I am saying these are the only businesses that are left. Owning a piece of these businesses are going, to set you up. And this is where it's at. This is a map of the ones that I would pay attention to. The 13 ones, the best ones. And I hope that this has gotten your creative juices flowing. Please do let me know. I read every single comment. I reply to most on YouTube. And thank you for giving me your time. I don't take that lightly. I think it's amazing I can just come on here and be like, hey, I think that these are the 13 businesses left, the only businesses left to build. And some of you are going to take that in and it's going to impact your lives. And that's really cool. So thank you again. You're the best. I'm rooting for you. And I'll see you next time.

Podcast Summary

Key Points:

  1. The speaker identifies 13 business categories worth building in the agentic era, where AI agents handle most delivery but humans oversee exceptions.
  2. AI-native service firms, such as automated bookkeeping or creative agencies, offer high margins with few clients because agents perform most of the work.
  3. Offline experience businesses like sauna clubs and wellness spaces thrive because people still pay for in-person community, though founders should start with a cheap "food truck" version.
  4. Owning distribution through organic audiences is increasingly valuable as ad costs rise, following an audience-community-product funnel.
  5. Proprietary data sets are a gold rush because big labs pay heavily for information that general models cannot access.
  6. Domain-specific harnesses, which wrap models with industry tools, memory, and workflow rules, are the new GPT wrappers with lasting value.
  7. Robotics, physical AI, compute, energy, and real assets like industrial real estate remain scarce inputs that agents and businesses will always need.
  8. Other opportunities include health and longevity for older adults, marketplaces and social networks, vertical agents for recurring industry jobs, and security for the agentic era.

Summary:

The speaker argues that while the agentic era will not create a permanent underclass, owning certain assets will position people well as AI agents proliferate. He outlines 13 business types left to build. First, AI-native service firms let agents deliver most work, yielding high margins with few clients.

Second, offline businesses like sauna clubs sell in-person experiences people still crave, though founders should start small. Third, distribution through organic audiences becomes more valuable as ad costs climb, following an audience-community-product funnel. Fourth, proprietary data sets represent a gold rush because labs pay heavily for unique information.

Fifth, domain-specific harnesses wrap models with tools, memory, and workflow rules, succeeding where simple GPT wrappers failed. Sixth, robotics and physical AI, including window-cleaning services, present opportunities beyond engineering. Seventh, physical products with fan followings, like specialty coffee gear, can now be designed with AI.

Eighth, compute and energy remain scarce inputs. Ninth, health, longevity, and elder care offer high-demand services. Tenth, marketplaces and social networks retain moats despite liquidity challenges.

Eleventh, real assets and industrial real estate stay relevant. Twelfth, vertical agents handle recurring industry jobs like restaurant purchasing. Thirteenth, security—both software and physical—grows more critical as hacking risks rise.

The speaker encourages listeners to explore these areas.

FAQs

An AI-native service firm uses agents to handle most of the delivery, often around 90% of the work, while humans review exceptions and complete the job. It is high-margin and can operate with relatively few clients.

People still want to pay for in-person experiences with others, such as wellness clubs, saunas, and community spaces. These businesses can use agents for admin but sell the physical experience itself.

As the cost of reaching people rises, owning organic audiences becomes more valuable. Building an audience, then a community, then a product can help you launch with demand already in place.

Proprietary data sets are unique data that large AI models do not already have. They are valuable because companies and labs will pay for useful data that cannot be easily obtained elsewhere.

A harness is the system around an AI model, including tools, workflow rules, memory, and checks. A domain-specific harness adapts a general model to understand a particular industry or workflow.

Robotics and physical AI are becoming practical in areas like window cleaning as a service. You do not need to build robots yourself; you can sell, rent, market, or operate them.

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