Concepts and Ideas
Core Framework
Workflow-Based Thinking vs. Role-Based Thinking
Instead of asking "who do I need to hire," you ask "what are the specific tasks this role performs, and can those tasks live inside a workflow?" Every role can be decomposed into four to ten discrete activities. Once you see them at that level, automation becomes a task-by-task decision rather than an all-or-nothing people decision.
AI as a New Employee That Needs Training
Most AI failures are training failures, not capability failures. If you give an agent a vague instruction and reject the output, you are doing exactly what a bad manager does. Providing explicit rules, sample outputs, and iterative feedback loops produces dramatically better results -- and that feedback cycle takes 100 minutes with AI versus a year and a half with a human.
BYOS / BYOA -- Bring Your Own Software or Agent
In the medium-term future of employment, the most valuable individuals will be those who arrive at a business with pre-built, pre-trained agents that can perform the output of an entire department. This unlocks contractor-style leverage, equity stakes, or premium cash compensation that was previously unavailable to individual contributors.
The Adaptability Imperative
In game theory, the most flexible system survives -- not the strongest or the most intelligent. Hormozi frames AI adoption as business Darwinism: the people and organizations that adapt to the changed environment will survive, and the ones who resist will be displaced by those who have no attachment to the old way of doing things.
Practical Principles
Define What Good Looks Like
The single biggest failure in both human management and AI training is the assumption that the other party will guess correctly what "good" means to you. Writing explicit output definitions, rules, and examples is not micromanagement -- it is the minimum viable instruction set. Vague inputs produce vague outputs from humans and AI alike.
Automate One Task at a Time
The path to an AI-first operation is not a single wholesale automation event. It is the methodical replacement of one task at a time within a role. Write down everything you do, break each bucket into its sub-tasks, feed the first one to AI, ask "help me automate this," and execute the first step on the resulting list. Repeat.
Use the Screenshot Method to Unstick Yourself
When you get stuck in an automation workflow, take a screenshot and paste it into your AI tool with the question "what do I do now?" This turns the AI into a real-time step-by-step tutor that guides you through unfamiliar interfaces and technical steps without requiring prior expertise.
Raise the Bar, Do Not Redeploy
When a role gets automated, the instinct is to find something else for that person to do. Hormozi argues this is a mistake. Instead, raise the overall bar for the company -- set new expectations that include AI competency -- and let people choose whether to meet them. This maintains organizational quality rather than just shuffling labor around.
Adjacent Frameworks and References
The Barbell Strategy (Nassim Taleb / Jeff Bezos Frame)
Rather than betting on a single uncertain future, you hold two extreme positions: one fully aggressive (AI-first, high disruption) and one conservative (betting on things that will not change -- human bodies, food, shelter, entertainment). The middle ground is where the most risk lives, because it is neither protected nor aggressive.
Brian Johnson's Phase Shift Metaphor
Johnson describes a scenario where a world-class swimmer suddenly finds the water has boiled away and turned to gas. Their swimming skill is now irrelevant -- the environment itself changed state. Hormozi uses this to argue that incremental improvement within the old paradigm will not protect you if the paradigm itself changes.
Early Adopter Industry Signal
Hormozi points to the adult content industry as a historically reliable leading indicator of technology adoption in business. Whatever that sector integrates first -- AI avatars, synthetic interaction, automated content pipelines -- tends to propagate into mainstream industries within a few years. He uses this not as an endorsement but as a pure economic observation about innovation diffusion.
Risk-Taking as the Last Human Moat
As intelligence and labor approach zero cost, the only economic activity that cannot be replicated by AI is the willingness to bear risk. Money and capital will still exist, but the labor component of value creation will erode. Entrepreneurs and investors who understand this now are better positioned to structure themselves for the world that emerges.
Transcript
This transcript was auto-generated and may contain errors in speaker attribution, transcription accuracy, or formatting. Long transcripts may be truncated due to processing limits. Confirm accuracy and completeness against the original source before referencing or republishing.
[00:00]
Alex Hormozi: Wake up. AI is here. The "open claw" moment happened over President's Day weekend and it started a month earlier -- the company was already acquired for a billion dollars by OpenAI. If you're not paying attention to this, then you will be left behind. That being said, I am not here to fear monger. I'm here to try and prepare you for what I think is going to be the biggest shift that's going to happen on Main Street, not just in tech businesses. If you're still even doubting this at all, this is kind of my newsflash for you: 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 10 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 today -- or by the end of this video -- to make significant changes in your business, or start one, or how you work within a larger business. I'll show you how to safeguard your role there too, because I think it's important. This is also for my team. So there's never been a better time to start an AI-first business to disrupt an existing market.
[01:02]
Alex Hormozi: 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 to get people to do stuff that's new and uncomfortable, which technology typically is. And also because people aren't willing to have 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 I would encourage you to raise the bar for the whole company, and the people who can meet that new bar get to stay, and the
[02:00]
Alex Hormozi: people who don't, don't. And I'm sorry, and I know that's ugly and that's harsh, but this is reality. Right? And there was basically -- let me play a little thing by Jerome Powell. He just said this I think yesterday or two days ago about how there was zero jobs growth in the private sector. Effectively, there's zero net job creation in the private sector. Think about what it is. Not that the economy's not doing well. It's 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 it won't happen slowly, 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: it's the people who can adapt who are the ones who will survive. It's not the strongest or the smartest people. It's 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.
[03:00]
Alex Hormozi: 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 fearing the potential downside that a small percentage of people experience. So some people are like, "What about AI safety and all these different things? Like I'm worried that AI is going to take my credit card and go spend it." Of course, there are weird edge cases where someone gave too many permissions to an agent and they didn't have enough guardrails installed. But it's like saying I got hacked on the internet, so I should never use the internet again. That's not good reasoning.
And so why don't more people adopt AI? Well, the reason is more like complacency. 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 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." It makes sense to do it. But when you think too 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
[04:01]
Alex Hormozi: 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 get an agent to do something for me -- if by the end of the weekend you haven't completely built something, but you actually 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. They're just getting it for views and impressions.
Let's shift to what this actually looks like within an organization, whether you're working at one or leading one or you own one. You have to stop thinking in role-based thinking and start thinking in 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, eight, or ten things that that person actually does with their hands and their eyes and their mouth, and then ask whether each of those activities could live inside of a workflow instead of head count.
[05:00]
Alex Hormozi: And so the old thinking or the old paradigm is "I need to hire an editor." The new thinking or paradigm is, "What are the five things an editor actually does that creates a video?" And each one of those things should be a workflow. So let me give you a visual to kind of drive this home.
So let's say that you have an organization that looks like this -- very simple. Each of these roles has tasks underneath of them, or at least they should. But all of these roles exist 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. 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 skills together, and when those skills taken in aggregate are worth more than any of the individuals on their own --
[06:00]
Alex Hormozi: if you've got somebody who knows how to write, somebody who knows how to record, somebody who knows how to edit, put all that together and all of a sudden you have an advertising agency. And so the thing is that our organizational structure exists to organize communication between humans and hierarchy for decision-making, but if you had the same rules from the beginning for how everything should be created, then all of those tasks that sit underneath each role should just be organized in a linear fashion that creates an output.
And so the key is not saying, "I'm going to automate away this person." You just have to look one layer underneath 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. I was talking to a good friend of mine who is a very good entrepreneur last night, and he spun up a division within his company whose sole mission is to put his much larger business out of business.
[07:01]
Alex Hormozi: And so if you're not thinking about that same level of like, "Okay, 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 will.
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 BYOS -- Bring Your Own Software -- or BYOA, Bring Your Own Agent or Agents. And so when you approach a business, there's going to be tremendous earning power even at the employee level. As a famous example -- Anthropic has one person in their marketing department. How is that possible? Now, of course they get tons of PR and there are other things that help them out. But the big point here is that they've got one person who's doing it.
[08:00]
Alex Hormozi: Whether that's just marketing lingo or not, we can be sure that person is doing a ton of stuff. And it's not really that that person is doing a ton of stuff manually -- 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 of people to 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. Can you do that as a contractor and start an agency around it? For sure. Can you embed within a company and 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 need 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 or entrepreneur and you're like, "Okay, I want to actually 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. They have the agent do
[09:00]
Alex Hormozi: something and then the output comes back and it's poor and they're like, "Oh, this will never work." Again, I will remind you: this is the worst that it will ever be. Number one. Number two. If you had a brand new employee and you said, "Do this task for me," and they gave something 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, "AI can't do what humans can do" -- I really want to destroy this for the people who don't get it. Humans learn through reinforcement. 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, "Ah, but this person has such good taste" -- it means that they recognize the pattern, they communicate that pattern, and they were rewarded for doing that. And so they do more and more of it, and they get better and better at recognizing patterns. Guess what's
[10:00]
Alex Hormozi: really good at recognizing patterns, even better than humans? Computers. Right? And so fundamentally, you train a computer the way you should train a 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 -- if you've ever watched 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 skill set 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, and all of these words that people use -- and just say, "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 expecting the agent to guess and get it right, then all of a sudden you'll be able to
[11:00]
Alex Hormozi: be so much better as an AI trainer -- which is fundamentally what we're going to be -- so that they can actually do the work that you want them to do, and do it at 100 times the speed, with no complaints, and at a hundredth of the cost.
So let me give you an example. If you're like, "Hey, I want you to write some copy for me" -- a very simple use case. If they write copy and it sounds like AI slop, it's usually because you didn't give anything to it besides "write 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. But if you say, "Hey, here is 12 rules that you can never 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 five times as good. Now, if you repeat that loop 100 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 learn that feedback cycle. And those 100
[12:01]
Alex Hormozi: cycles might take you a year and a half with a person, but it can take you 100 minutes with AI.
Some of you are not using AI at all. Some of you are AI laggards and are like, "I don't need it. No one's ever going to 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. 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: 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.
[13:02]
Alex Hormozi: And so I also want to give this as a little bit of stress relaxation for you. As long as it is humans plus tools against humans with other tools, then you are still competing against 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 "machines will never beat us at chess, machines will never beat us at Go, machines will never beat us at X" -- they always do. Just like autopilot on planes, everyone was very against it. Now there's going to be pushback on a lot of AI stuff, but not because of its function -- because of people's emotions around it.
Real quick, I'm going to show you the exact 10-stage roadmap from zero to 100 million plus that less than 1% of companies finish. I've now done it multiple times, and so I can say with a lot of confidence that these are the stages -- as head count
[14:00]
Alex Hormozi: 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, what are the symptoms of it when you're going through it, and then what steps we actually took to graduate. We've done this across software, physical products, service businesses, brick-and-mortar, all of this, and it works. It's my gift to you, it's absolutely free, and the link's in the description. Just go to acquisition.com/roadmap, enter your info, and you'll get it right back -- all free.
Now, in a world of infinite AI labor and intelligence, where the cost of intelligence and labor go to functionally zero -- or 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 your inherent work no longer has value when there's a robot that has infinite intelligence inside of it. It's
[15:00]
Alex Hormozi: stronger, faster, and it works for the price of the electricity that runs it.
And this is, again, not to scare you, but to prepare you for what is going to come. And so if you're on Main Street right now and you're thinking, "Every company is going to become a technology company" -- you wouldn't think of yourself as a technology company today, but do you use social media? Do you use the internet? Do you use email? Do you use a 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, GDP -- gross domestic product -- the amount that companies have made per head count has continued to go up. If we look at the economy, what are the two factors that drive output? It's education, aka skills, and technology. And so when you have infinite labor with infinite intelligence, there's going to be a big explosion in GDP. There's going to be more companies than ever
[16:00]
Alex Hormozi: before. And I also think that when many roles 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.
So what are the few things I can bet on? I believe in a barbell strategy for approaching the future. What does that mean? On one extreme -- the high risk, high reward side -- this is: I'm fully incorporating AI in 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 my team to get them to level up, and if they don't, I have to have even harder conversations that we no longer need them because we've automated away the role. I have to be willing to do that because you might not be willing to, but there's going to be a startup that just doesn't have to have that conversation -- that is already automating those roles -- and they will beat you. That's the high-risk, high-reward side.
On the other side, it's the Jeff Bezos frame: what are the few bets that I can make that I believe won't change? What things will absolutely still exist?
[17:01]
Alex Hormozi: I believe that humans will still have bodies, at least in the near to medium term. So I think health-related things will absolutely exist -- healthcare, fitness, 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 when we get wealthier, 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 and continues to grow as a percentage of GDP, and I think it will explode because people have more time on their hands, and entertainment is typically very cheap.
And so, if you can make a full motion picture now -- and there's this period of time where the prices have not yet adjusted to the cost basis -- you can make some viral social media videos, get a huge amount of PR for a movie that you made entirely with AI,
[18:00]
Alex Hormozi: 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.
I'll also give you something that will make some people uncomfortable but is an absolute reality of business in general: if you actually want to know what the bleeding edge of tech-business integration looks like, look at the adult content industry. Whatever that industry adopts first eventually makes its way down into mainstream business. What we've already seen happen there: AI avatar performers, armies of AI-generated characters, rendered videos, automated content pipelines, chatbots trained on tens of thousands of conversations. People pay for them. The economics are driven not by ethics but by pure operational efficiency. And so
[19:00]
Alex Hormozi: what I believe is going to happen in the future: I believe that humans will need a place to live. 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 will not change. Now, which one wins within those? Who knows? But those industries I think will exist.
And then I'll give you my "hell in a handbasket" frame. If there's a world where everything goes completely sideways, then none of it really matters anyway. And so I have to walk myself back off the apocalyptic angle: if all of these things 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.
[20:01]
Alex Hormozi: And I think in the hell-in-a-handbasket 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. I read this on a Brian Johnson post from Blueprint -- if you've heard of him, he's the longevity 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 better and better as a swimmer -- from a lap pool to a lake to eventually free-ocean swimming from border to border. Crazy levels. But the change that's about to happen is a phase shift where you're swimming, and 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.
[21:01]
Alex Hormozi: 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 precipice of.
Now, hopefully this was not doom and gloom, because I actually see tremendous opportunity -- because humans are slow to adapt in general. So what does that mean? First off, if you're watching this, you're already probably ahead of most people anyway, because most people just exist. They put their head in the dirt. There's so many people over age 50 who are like, "I'm too old for this." And guess what? They got all the money. And so what's really interesting is that all the people who got all the money are going to quickly realize that it's going to go somewhere else -- not to them, because they did not adapt. So that's a big opportunity.
There's also huge opportunities in going to regular businesses and automating 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 paying $2,000 a month for something, embedded in that price is the typical cost of labor. And so if you can still charge that $2,000 price for whatever it is, and instead of it
[22:00]
Alex Hormozi: costing you $500 a month, it costs you $50 a month or $5 a month -- the margin 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 now 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 is this. Write down a list of what you do every day 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 tasks. Don't think in chunked-up buckets. Don't think "I run ads." There's a lot of stuff underneath that -- you make campaigns, you set budgets, you analyze results, you make the creative, you write copy, you test
[23:02]
Alex Hormozi: different landing pages, you test different headlines. There's lots of things underneath that bucketed term "I run ads." Take all of 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 steps would 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 screen and say, "What do I do now?" And it'll tell you.
Here's the craziest thing of all: everyone has an AI tutor at their fingertips that they're just not using.
So with that -- this is the type of stuff that we're obviously actively working on inside of our ACQ Advantage community. 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. We obviously have an AI product that we've been training for years now. We also have AI salespeople that we've been training. We've got a lot of stuff that we've been keeping more or less behind
[24:01]
Alex Hormozi: closed doors, capitalizing on opportunity. But you can go check that out. I'll have a link below the video. Maybe it's on the screen, whatever.
But with that, peace and blessings be upon you and your bloodline. I wish you the absolute best, and I hope you are in the permanent upper class and not the permanent underclass in the world that comes.