The speaker emphasizes the urgent need to adopt AI, arguing it represents a fundamental shift for all businesses, not just tech companies. AI's capabilities will only improve, making proficiency with it a top priority. To leverage AI, organizations should move from role-based structures to workflow-based analysis, breaking down jobs into tasks that can be automated by AI agents. Success depends on training these agents with precise, behavior-focused instructions, much like training a human employee. This approach can dramatically increase productivity and value, allowing individuals or small teams to perform functions of entire departments. While AI may automate many roles, it also promises a surge in new ventures and economic growth. The key is adaptability: those who learn to use AI tools will gain disproportionate advantage, while resistance risks obsolescence. The speaker encourages immediate, hands-on learning to build practical AI skills rather than succumbing to fear or complacency.
Wake up! AI is here. Open claw moment happened over President's day weekend and it started a month earlier and was already acquired for a billion dollars by Open AI. If you're not paying attention to this, then you will be left behind. That being said, I'm not here to fear longer, I'm here to try and prepare you for what I think is going to be the biggest shift that's going to happen in Main Street, not just the tech businesses. If you're still even doubting this at all, this is kind of like newsfash for you. Is that AI will never be worse than it is right now, and if you assume any rate of improvement over any reasonable time period, learning how to use AI should become your number one priority, your number two priority, number three priority, and your number ten priority. And so that's why in this video, I'm going to share some ways to think about AI and use cases right now that you can deploy two day or by the end of this video to make significant changes in your business or star one or how you work within a larger business. Because I'll show you how to safeguard your role there too, because I think it's important. This is also from my team. So there's never been a better time to start an AI first business to disrupt an existing market because all the people in that existing market are so busy running their business rather than learning AI and using words like AI first rather than actually being AI first. And so the advantage that you have if you're starting out is that you have time, but the thing is that every single skill you're able to stack into your ability to use AI is going to give you disproportionate leverage over your competitors. And so having started some companies in this period of time that I'm not as public about, we have companies that revenue per employee we're talking about in the millions per year per head because day one we started that way because as much as people want to say they're AI first, if you have a big organizational chart of people, it's very hard one to get people to do stuff that's new and uncomfortable, which technology typically is. And then also because people aren't willing to make the hard conversations of saying, hey, we automated away this role. Now what people then think is, oh, well, let's find something else for Danny to do. But the thing is is that I would encourage you to raise the bar for the whole company and the people who who can meet that new bar get to stay and the people who don't, don't. And I'm sorry. And I know that's that's ugly and that's harsh, but like this is reality, right? And like there was basically, let me play a little thing by Jerome Pally just said this I think yesterday two days ago about how there was zero jobs growth in the private sector. Think about where this is, not the economy's not doing well. Is that people are automating jobs away. All right. Now again, this video is not to scare you, but this video hopefully at least motivates you to take some action because I think that it won't happen and then it will happen very quickly. So in game theory, the most flexible system survives. And so it's very much like business Darwinism, if you will, which is that you like it's the people who can adapt other ones who are survived. It's not the strongest or the smartest people who are the most adaptable. And so that means that when there's a change in the environment right now, you have to change, you have to adapt. And learning how to use the tools is the first and best way that you can do it. For those of you who are scared to use AI, first off, get over it, but beyond that, you often risk more by not adopting new technology than by freeing the potential downside that a small percentage of people experience. So somebody really what about AI safety and all these different things like I'm worried that they are going to take my credit card and go spend it. Of course, there's weird head, edge cases where someone gave to me permission to an agent and they didn't have enough guard rails installed. But it's like saying, I got hacked on the internet so I should never use the internet again. It's not good reasoning, right? And so why don't more people adopt AI? Well, the reason is more like complacency, right? There's a short term cost that you have to incur in order to learn a new thing. Period. So it's just like training an employee. If you're thinking to yourself, well, I don't want to train this employee because it's going to take me time to do that when I could be doing the work. It's like, yeah, but as soon as you train them, then they can do the work forever, right? It makes sense to do it. But when you think two short term, which most humans do, then you end up losing to people who can think even a little bit more long term. And I will repeat this tweet that I've said before because I think it's so relevant right now. It takes about 20 hours to become proficient in any new skill, but people delay the first hour, decades. And so I promise you, if you take a weekend and say Saturday, Sunday, I'm going to sit in front of this computer and I'm going to figure out how to do that I'm going to figure out how to get an agent to do something for me. All right. If by the end of the weekend, you haven't completely built something, but you actually tore the, you know, you tore the wrapper off. You actually got your hands in it. Your understanding of it will increase more than any amount of articles that you can read that are fear mongering and baiting you in, right? They're just getting a fervuous and impressions. Let's shift to like what this actually looks like within an organization, whether you're working at one or you're leading one or your own one, is that you have to stop thinking and roll based thinking and start thinking and workflow based thinking. So let's break this down tactically. For every hire that you're considering, you want to write down the four to six things or eight things or 10 things that that person actually does, does with their hands and their eyes and like in their mouth, does stuff. All right. And then ask whether each of those activities could live inside of a workflow instead of instead of headcount. And so the old thinking or the old paradigm is I need a hire an editor. The new thinking or paradigm is what are these five things in that are actually does that creates a video. And each one of those things should be a workflow. So I'm just give you a visual to kind of drive this home. So let's say that you have an organization that looks like this. Okay. Very simple. Each of these roles has tasks underneath of them or at least they should, right? Of course they should. But all of these is to organize humans not to organize the inputs and outputs. Because in an organization, if we were to do something perfectly, we would have it much more like a manufacturing business. Now, what does that mean? Every business at its most basic level takes raw inputs, adds some special sauce, and then you get an output that's more valuable. And so in a service business, it means you take raw talent, you add training and skills, or you put multiple of these skills together that when those skills taken in aggregate are worth more than any of the individuals on their own. Right? So if you've got somebody who knows how to write, somebody's how to read, somebody's how to record, somebody's how to edit, for all that together, all of a sudden you have an advertising agency. And somebody else who can buy ads, great, you have an advertising agency, right? And so, but the thing is, is that this is our organizational structure is to organize communication between humans and hierarchy for decision making. But if you had the same rules from the beginning of how everything should be created, then all of these little dashes that I have underneath of here, which are the tasks that someone does, should just be organized in a linear fashion that then create an output. And so the key is not saying, I'm going to automate away this person. You just have to look at one layer underneath of that and say, what are the 10 things this person does? Let me see if I can just automate this one task and this next task. And if you are that person, if you're not automating your own job, you are missing the boat here. Like, I'll start going to a good friend of mine who is a very good entrepreneur last night, and he spun up a division within his company and the sole thesis or mission of that business is to put his much larger business out of business. And so if you're not thinking about that same level of like, okay, well, I'm going to take 20% of my time to try and put myself out of a job. Because the thing is, if you don't adapt, you will eventually be out of a job. The question is whether you're going to be the one who controls that automation or somebody else well. And so let me talk about what the future of business is going to look like, at least in the medium term. The medium term is going to be B-Y-O-S. So what does that mean? It's going to be bring your own software or B-Y-O-A. Bring your own agent or agents. And so when you approach a business, and this means that also there's going to be tremendous earning power, even at the employee level, which is, you know, a shit on by the gurus of the internet. But if I can approach a business and say, I am your entire marketing department. And so famously, maybe we'll post it up here. And Thropic has one person in their marketing department. How is that possible? Now, of course, they get tons of PR. There's other things that I think help them out. But the big point here is that they've got one guy who's doing it, whether that's just marketing, Lingua or not, we can be sure that that one person is still doing a ton of stuff. All right? And it's not really that person's doing a ton of stuff. They have automated and created agents that do a lot of that work for them. And so all of a sudden, if you think about the marketing spend that a business would allocate for an entire department, if people get an output, if you can get that output because of agents that you've trained on your way of doing things, then you become very valuable. Now, can you do that as a contractor and start an agency around it for sure? Can you do it because you want to embed within a company, I get a slice of equity. Sure. Can you do it just because you want to get paid more cash? All of these are things that are available to you, but they have never been available until now. Think about what businesses needs in terms of functions and outputs and just erase the titleism that exists in the private market because I do not think it's going to survive. And so if you are that employer, that entrepreneur, and you're like, okay, well, I want to, I want to do this stuff, right? I want to actually like use AI. I want to have agents that do work for me. Where people fall off is that they're not training AI the way they would train a new employee. And so they have a, they have the, how's it going to say employee? They have the agent do something and the opa goes back and it sucks. And they're like, oh, this will never work. Again, I will remind you, this is the worst that will ever be number one. Number two, if you get a brand new employee, and then you said, do this task for me. And then they gave some back to you. Would you immediately fire them? Probably not. You'd be like, oh, I just need to train you more. And if you think, oh, well, AI can't do what humans can do. I really want to break the, I want to destroy this for the people who don't get it. And if you do get it, then maybe you need to send this to your employees, your team, because this is real. Humans learn the reinforcement. Meaning you do a thing, you get an outcome good or bad. If it's good, you do more of it. If it's bad, you do less of it. That's how humans learn, period. And so when someone says, oh, by the, you know, this person has such good taste, it means that they recognized a pattern. They communicate that pattern and they were rewarded for, for doing that. And so they do more and more of it. And so they get better and better at recognizing patterns. Gets what's really good at recognizing patterns, even better than humans. Computers. Right. And so fundamentally you train a computer
the way you should training human. The reality is that most people don't train humans like they should train computers, and as a result, they're bad at training. But one of the things that if you've ever rolled my channel at all, I'm a big believer in thinking through operations, thinking through observable behaviors. And so this has actually been an amazing translation for my skillset into training AI, because if you take all of the emotional words out of it, take all of the ephemeral, take all of the intangible out of all of your words, charisma, make it lighter, make all of these words that people use, and just say, like, what do you want to have happen, which most people do not do, because they do not define what good looks like. If you can actually take the time to define what you actually want, rather than expecting the other person to guess, and somehow get it right, or how expect the agent to guess and get it right, which is really what we're doing, then all of a sudden you'll be able to be so much better as an AI trainer, which is fundamentally where you're going to be, so that they can actually do the work that you want them to do, and do it at a hundred times the speed, with no complaints and at a hundredth of the cost. And so I'll give you an example. If you're like, "Hey, I want you," like this is a very simple example, because most people can understand this use case, which is like, "Hey, I want you to write some copy for me." It's like, "Hey, write this hemo copy for me." If they write copy, and it sounds like AI slop, it's usually because you didn't give anything to it besides right words that are English and correct, and make it sound like the internet, which is fundamentally what AI sounds like, it was trained on the internet, right? And so it's not the best writing. But if you say, "Hey, here's 12 rules that you can ever break, "and here's 16 writing samples of mine, "and I want you to write only according to this, "you're going to probably get an output "that's probably like five times as good at that." Now, if you repeat that loop a hundred more times, all of a sudden you'll have an output that's perfectly trained on the patterns, except with a person, they forget some of the things you said 16 times ago, and it takes them time to go type it, or time to go learn that feedback cycle, and those hundred cycles might take you a year and a half with a person, but it can take you a hundred minutes with AI. Some of you are not using AI at all, some of you guys are AI lagers and are like, "I don't need it, no one's ever gonna replace humans, "and good for you, I love that for you." It'll make it easier to beat you, but do you. There are people today that use fax machines. There are people today who still count on their fingers. It doesn't mean that it makes them more likely to compete. It means that they are competing and still winning with a disadvantage, which means that they have to be so much better in other arenas, right? And so it'd be like not getting on the internet for your company. Are there companies right now that do not have websites and make money? Absolutely. Do they make as much as they could? Probably not. And so this is an absolute promise to you, is that throughout all of human history, humans plus superior technology beat humans with inferior technology. It worked from the stone age to the bronze age, it worked from the bronze age to the iron age, it worked from the iron age to the titanium age, right? Or the aluminum, which I think my Aussie say. You can see it very naturally. And so also I want to give this a tiny bit of stress relaxation for you. As long as it is humans plus tools against humans with other tools, then you are still competing in humans. And as long as that game still goes, you should feel endlessly confident. The day that you try to beat the machine, you will lose. And every time we've tried to say, we like machines will never be this at chess. Machines will never be this at go. Machines will never be this at insert X. They always do. Just like autopilot on planes, everyone is very against it. Now there's going to be pushback on a lot of AI stuff, but not because of its function, but because of people's emotions around it. Real quick, I'm going to show you the exact 10 stage roadmap from zero to a hundred million plus that less than 1% of companies finish I've now done multiple times. And so I can say with a lot of confidence that these are the stages as headcount increases that you need to get through and I broke each of these down by eight different functions of the business, what the constraint feels like? Like what are the symptoms of it when you're going through it? And then what steps we actually took to graduate? And we've done this across software, physical products, service businesses, brick and mortar, all of this and it works. And it's my gift to you, it's aptly free. And so the links in the description, but you just go acquisition.com/roadmap, just enter info and it'll spit it right back to you, offering. Now in a world of infinite AI labor and intelligence, where the cost of intelligence and labor go to functionally zero, rather the cost of energy. The last valuable thing that a human will get paid to do will be to take risk. And so that is something that you incur that no one else can really take away from you. Which is why I think money will exist in the future. It's just that labor won't have value and that's where this gets difficult. So it'll be more and more difficult to provide value to a marketplace. When you yourself, you're a labor, you're inherent work, no longer has value when there's a robot that has infinite intelligence inside of it. It's stronger, it's faster and it works for $2.0. It works for the price of the electricity that runs it. Very hard. And this is again, not to scare you, but to prepare you for what is going to come. And so if you're on mainstream right now and you're thinking, oh, like every company is going to become a technology company. You wouldn't think of yourself as a technology company today, but it's like, well, do you use social media? Do you use the internet? Do you use email? Do you use phone? These are all components of technology that you integrated into your business. And I would consider this the last bastion of where humans play that role. Now obviously GDP is in grocery-betched product, grocery-mestic product. The amount that companies have made per head count has continued to go out. If we look at the economy, what are the two factors that drive output? It's education, AK skills, and technology, right? And so when you have infinite labor with infinite intelligence, there's going to be a big explosion in GDP of grocery-mestic product. There's many more companies that ever before. And I also think that when many roles are going to get automated away, the amount of businesses that will bloom from this will be huge. But I will not say that I know, and I don't think anyone does know, but I'd like, what are the few things that I can bet on? I believe in a barbell strategy for approaching the future. On one extreme, this is the high risk high reward. This is, I am fully incorporating AI and all my stuff. All my businesses are going to be AI first, AI native, AI forward. I have to be willing to have the hard conversations with team to get them to level up. And if they don't, I have to have to have the even hard conversation that we no longer need them because we've automated away the role. I have to be willing to do that because guess what? You might not be willing to do that, but there's going to be a startup that just doesn't have to have that conversation that is going to already be automating those roles. And they will beat you. That's the high risk high reward side. On the other side, it's what are the few bets, and this is Jeff Bezos' frame, which is what are the few bets that I can make that I believe won't change? What things will absolutely still exist? I believe that humans will still have bodies, at least in the near-immunium term. So I think health-related things will absolutely exist. So healthcare, fitness-related stuff, all that stuff, consumables, food supplements, all that stuff will still exist. I think in a world where there's way more robots and way more work getting done for humans, what will humans have? If we look at human history, we have more of one thing which is leisure or downtime. So what do we fill our leisure or downtime with? Entertainment. I believe entertainment is going to boom. It's already big. It's continued to grow as a percentage of GDP, and I think it will explode because I think people have more time on their hands. And entertainment is typically very cheap. And so if you're one of like, you can make a full-motion picture now. And there's this period of time where the prices have not adjusted to the cost basis, associated. And so you can make some viral social media videos and get huge amount of PR for a movie that you made entirely with AI. And make $100 million, $200 million. And the beauty of that is it's all margin. And you can absolutely do that. So why don't people do it? Because people are afraid to take action. But is that they are absolutely. I'll also give you something that will make some people uncomfortable. It's just an absolute reality of business in general. Is that if you actually really want to know what the bleeding edge of what's going to happen with anything is in terms of tech, as they do corporate business, I know this is going to sound a little bit off-putting for some people. Look at porn. Whatever porn adopts first eventually makes its way down. So what have we already seen happen in the porn industry? You've got AI avatar girls who are-- people are spinning up these AI avatars. They have an army of 100 girls or guys. I don't know whatever your flavor is, right? Or aliens. I mean, again, whatever you want. Where people-- and I'm not saying good or bad. I'm just saying pure economics, right? Where they don't have to deal with the drama associated with. They don't have to film them. They don't have to give-- they just make videos. They render them. They sit them now. They have chats that is really just a chat bot that's going back and forth. Some of that's been trained on 10,000 porn-related conversations. And people pay for them. And so what I believe is going to happen in the future. I believe that humans will need a place to live. I believe they will need food to eat. I believe that they will have things they need to do with their time for entertainment. I believe those are industries that I would absolutely say these things will not change. Now which one wins, who knows? But those industries, I think, will exist. And then I'll give you my hell out of hand basket frame. So what is having? If there's a world where everything goes to shit, then it doesn't really matter. And so I have to walk myself back off of the apocalyptic angle of like, OK, well, if all of these things eventually disrupt and there's a permanent underclass and no one has any money, and there's only a select few who actually leaned into technology to acquire all the wealth in the world. If that were to happen, it's all going to be anarchy. Maybe I don't know. But I just prefer to exist in a world where I'm hoping for the best, preparing for the worst. But I am absolutely hoping for the best. And I think in the hell in a hand basket world, none of it will matter. Prepare for sunshine and rain. Just be an all-weather type of person. And I think if you do that, you'll give yourself the best chance at succeeding whatever the next season looks like. And I'll give you a final thought experiment that might be helpful.
for you. So I read this on a Brian Johnson post from Blueprint, if you've heard of him, he's the long-dewy guy. He said, "What people do not realize is that they've been training their entire lives to swim. And you think that you can swim in all types of weather and you get to become a better and better swimmer." And there's waves crashing and you're like, "No, you go from in a pool or a lap pool to a lake to eventually you're swimming off the coast to eventually you're free, free ocean swimming from border country to the next border country." It's a crazy level. He said, "But the change that's about to happen is a phase shift where you're swimming, but then all of a sudden the water boils and now you're in gas because the water all evaporated and you're flapping your arms and it doesn't matter how good of a swimmer you are, the fundamental physics of the environment will have changed." And so that is the change that we're on the press stuff. Now, hopefully this was not doom and gloom because I actually see this tremendous opportunity because humans are slow to adapt in general. First off, if you're watching this already probably had a most people anyways because most people just exist, put their head in the dirt. There's so many people over age 50 that are like, "I'm told for this shit and guess what? They got all the money." And so what's really interesting is that all the people got all the money are going to quickly realize that it's going to go somewhere else, which is not to them because they did not adapt. So that's a big opportunity. There's also a huge opportunity to obviously going to regular businesses and automating them portions of their work. But when I said humans are slow to adapt, it also means their price sensitivity is also slow to adapt. Meaning if people are used to pay $2,000 a month for something, that embedded in that price is the typical costs of labor. And so if you can still charge that $2,000 price for whatever it is, right? And instead of it costing you $500 a month, it costs you $50 a month or $5 a month. The margin number one that you can earn is tremendous. But second and more importantly, the amount of operational leverage you have, meaning the amount of people per dollar of additional revenue you need to create goes down dramatically. As in, one person not can bring millions and millions in revenue in, it becomes much easier to scale. Because one of the biggest costs of scaling is just the coordination between humans. And so what I would encourage you to do, so you're like, "Okay, I heard all this stuff. I feel motivated to do something. What should I do?" This is what I'm going to make you do. Write down a list of what you do every day. And I'm saying at the most granular level, you respond to emails. You respond to Slack messages. Maybe you make content. Maybe you make ads. You run ads. You have to separate these out into individual titles. What's the task? Don't think it, don't think it chunked up. I run ads. It's like, "Yeah, there's a lot of stuff underneath of that. You make campaigns. You set budgets. You analyze results. You make the creative. You write copy. You test different landing pages. You test different headlines on the pages. There's lots of things that are underneath of that bucketed term of like, "I run ads." Take all the tasks and then look at those tasks and take the first one and put it into AI and say, "Help me automate this. What stuff did you take?" It'll give you a list and then take the first thing on the list and do it. If you get stuck, here's a little pro tip. Screenshot your screen and put it in and say, "What do I do now?" And it'll tell you. And then screenshot the next thing and say, "What do I do now?" And it'll tell you. Like, everyone now, here's the craziest thing of all. Everyone has an AI tutor out their fingertips that you're just not using. So with that, this is the type of stuff that we were obviously actively working on inside of our ACU vanishing me. So if you are a million dollar plus business owner, we're talking about stuff that we're doing right now every day inside of ACQ. Obviously, we have an AI product that we've been training for years now. We also have like a salesman that we've been training. We've got a lot of stuff that we've been doing. I'm keeping more or less behind closed doors if you will, capitalizing an opportunity if you will. But you can go check that out all the link below the thing. But with that, peace and blessings be upon you in your bloodline. And I wish you the absolute best. And I hope you were in the permanent upper class and not permanent underclass in the world that comes.
Podcast Summary
Key Points:
AI adoption is critical for survival and competitive advantage, as it will only improve from its current state.
Businesses and individuals must shift from role-based to workflow-based thinking to identify and automate tasks using AI agents.
Training AI effectively requires clear, tangible instructions—similar to training a human employee—to achieve high-quality outputs.
The future will favor those who adapt by integrating AI, with "bring your own software/agent" models enabling significant efficiency gains.
While AI automation may displace some jobs, it also creates opportunities for new businesses and roles focused on risk-taking and innovation.
Summary:
The speaker emphasizes the urgent need to adopt AI, arguing it represents a fundamental shift for all businesses, not just tech companies. AI's capabilities will only improve, making proficiency with it a top priority. To leverage AI, organizations should move from role-based structures to workflow-based analysis, breaking down jobs into tasks that can be automated by AI agents.
Success depends on training these agents with precise, behavior-focused instructions, much like training a human employee. This approach can dramatically increase productivity and value, allowing individuals or small teams to perform functions of entire departments. While AI may automate many roles, it also promises a surge in new ventures and economic growth.
The key is adaptability: those who learn to use AI tools will gain disproportionate advantage, while resistance risks obsolescence. The speaker encourages immediate, hands-on learning to build practical AI skills rather than succumbing to fear or complacency.
FAQs
AI will never be worse than it is now, and with continuous improvement, mastering AI tools provides disproportionate leverage over competitors and safeguards your role in the workforce.
Shift from role-based to workflow-based thinking by breaking down each job into specific tasks and automating those tasks individually, rather than focusing on entire roles.
Employees will need to bring their own software or agents (BYOS/BYOA) to add value, with earning power tied to automating outputs rather than traditional labor, as labor costs approach zero.
Train AI like a human employee by providing clear rules, examples, and feedback loops; define specific desired outcomes to improve outputs, as AI excels at recognizing patterns with proper guidance.
Embrace flexibility and long-term thinking, as the most adaptable survive; dedicate time to learn AI tools, as short-term complacency risks being outcompeted by those who invest in these skills.
Barriers include fear, complacency, and short-term costs; overcome them by dedicating focused time (e.g., a weekend) to hands-on practice, moving beyond theoretical concerns to practical application.
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