# Stop Ignoring AI | Ep 963

An episode of [The Game with Alex Hormozi](https://invisiblenetwork.ai/podcast/1254720112), 21 Apr 2026, 24 min.

Audio: https://pscrb.fm/rss/p/episode.flightcast.com/fn2u5h97at06jm3zxjvucxib.mp3

Download your free personalized $100M scaling roadmap in under 30 seconds: https://www.acquisition.com/roadmap?el=yt-alex-486r&htrafficsource=yout AI is here, and businesses that don’t adapt will be left behind. In this episode, Alex explains why adopting AI should be the top priority for any entrepreneur, leader, or employee. He shares insights on how AI-first businesses are already outpacing their competitors and why leveraging AI for automation, workflow optimization, and growth is critical for long-term success. In this episode 00:00 The urgency to adopt AI in business 04:24 Shifting from role-based to workflow-based thinking 07:09 Future of business with AI: bring your own software/agent 08:46 How to train AI effectively 14:13 The impact of AI on the future of labor and industries 19:05 Practical advice to thrive in the AI-driven world More Value: Join The Live Scaling Workshop In Las Vegas: https://www.acquisition.com/o-vegas Download your free personalized $100M scaling roadmap in under 30 seconds: https://www.acquisition.com/roadmap?el=yt-alex-486r&htrafficsource=youtube Discover The Easiest Business I Can Help You Start (Free Trial): https://www.skool.com/hormozi Free Books and Video Courses: https://www.acquisition.com/training Get the $100M Book Bundle: https://shop.acquisition.com/pages/100m-book-bundle Follow Alex Hormozi’s Socials: LinkedIn | Instagram | Facebook | YouTube | Twitter | Acquisition DISCLOSURE Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies, and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.

## Transcript

[0:00] Wake up! AI is here, open claw moment happened over president's day weekend and it started
[0:06] a month earlier and was already acquired for a billion dollars by open AI. If you're not paying
[0:10] attention to this, then you will be left behind. That being said, I'm not here to fear longer,
[0:14] I'm here to try and prepare you for what I think is going to be the biggest shift that's going to
[0:17] happen in Main Street, not just the tech businesses. If you're still even doubting this at all,
[0:22] this is kind of like news flash for you. Is that AI will never be worse than it is right now,
[0:27] and if you assume any rate of improvement over any reasonable time period,
[0:32] learning how to use AI should become your number one priority, your number two priority,
[0:36] number three priority, and your number ten priority. And so that's why in this video,
[0:40] I'm going to share some ways to think about AI and use cases right now that you can deploy
[0:45] two day or by the end of this video to make significant changes in your business or star one
[0:50] or how you work within a larger business because I'll show you how to safeguard your role there too
[0:54] because I think it's important. This is also for my team. So there's never been a better time to
[0:58] start an AI first business to disrupt an existing market because all the people in that existing
[1:03] market are so busy running their business rather than learning AI and using words like AI first
[1:09] rather than actually being AI first. And so the advantage that you have if you're starting out
[1:15] is that you have time, but the thing is that every single skill you're able to stack into your
[1:19] ability to use AI is going to give you disproportionate leverage over your competitors. And so
[1:24] having started some companies in this period of time that I'm not as public about,
[1:27] we have companies that revenue per employee we're talking about in the millions per year per head
[1:33] because day one we started that way because as much as people want to say they're AI first,
[1:36] if you have a big organizational chart of people, it's very hard one to get people to do
[1:41] stuff that's new and uncomfortable which technology typically is. And then also because people
[1:45] aren't willing to make the hard conversations of saying, hey, we automated away this role. Now what
[1:49] people then think is, oh, well, let's find something else for Danny to do. But the thing is,
[1:53] is that I would encourage you to raise the bar for the whole company and the people who can
[1:58] meet that new bar get to stay and the people who don't, don't. And I'm sorry, and I know that's
[2:02] that's ugly and that's harsh, but like, this is reality, right? And like, there was basically,
[2:08] let me play a little thing by Jerome Pally just said this, I think yesterday two days ago,
[2:12] about how there was zero jobs growth in the private sector. Think about where this,
[2:16] not the economy's not doing well, is that people are automating jobs away. All right? Now again,
[2:22] this video is not to scare you, but this video hopefully at least motivates you to take some action
[2:27] because I think that it won't happen and then it will happen very quickly. So in game theory,
[2:32] the most flexible system survives. And so it's very much like business Darwinism if you will,
[2:38] which is that you like, it's the people who can adapt are the ones who are survived,
[2:42] not the strongest or the smartest people who are the most adaptable. And so that means that when
[2:45] there's a change in the environment right now, you have to change, you have to adapt. And learning
[2:49] how to use the tools is the first and best way that you can do it. For those of you who are scared
[2:54] to use AI, first off, get over it, but beyond that, you often risk more by not adopting new technology
[3:00] than by freeing the potential downside that a small percentage of people experience. So some people
[3:04] really, what about AI safety and all these different things like I'm worried that AI is going to take
[3:08] my credit card and go spend it. Of course, there's weird head, you know, edge cases where, you know,
[3:11] someone gave to me permission to an agent and they didn't have enough guard rails installed,
[3:16] but it's like saying I got hacked on the internet so I should never use the internet again.
[3:20] It's not good reasoning, right? And so why don't more people adopt AI? Well, the reason is more
[3:26] like complacency, right? There's a short term cost that you have to incur in order to learn a new
[3:32] thing, period. So it's just like training an employee. If you're thinking to yourself, well,
[3:37] I don't want to train this employee because it's going to take me time to do that when I could be
[3:41] doing the work. It's like, yeah, but as soon as you train them, they can do the work forever, right?
[3:44] It makes sense to do it. But when you think two short term, which most humans do, then you end up
[3:49] losing to people who can think even a little bit more long term. And I will, I will repeat this
[3:53] tweet that I've said before because I think it's so relevant right now. It takes about 20 hours to
[3:57] become proficient in any new skill, but people delay the first hour, decades. And so I promise you,
[4:02] if you take a weekend and say Saturday, Sunday, I'm going to sit in front of this computer and I'm
[4:06] going to figure out how to do that. I'm going to figure out how to get an agent to do something for me.
[4:09] All right. If by the end of the weekend, you haven't completely built something, but you actually
[4:12] tore the, you know, you tore the wrapper off. You actually got your hands in it. Your understanding
[4:16] of it will increase more than any amount of articles that you can read that are fear-mongering
[4:21] and baiting you in, right? They're just getting it for reviews and impressions.
[4:24] Let's shift to like what this actually looks like within an organization, whether you're working at
[4:27] one or you're leading one or your own one, is that you have to stop thinking and roll-based thinking
[4:32] and start thinking and workflow-based thinking. So let's break this down tactically. For every higher
[4:38] that you're considering, you want to write down the four to six things or eight things or ten
[4:42] things that that person actually does, does with their hands and their eyes and like in their mouth,
[4:48] does stuff. All right. And then ask whether each of those activities could live inside of a workflow
[4:53] instead of head count. And so the old thinking or the old paradigm is I need to hire an editor.
[4:59] The new thinking or paradigm is what are these five things an editor actually does that creates
[5:05] a video. And each one of those things should be a workflow. So let me just give you a visual to kind
[5:09] of drive this home. So let's say that you have an organization that looks like this, okay? Very simple.
[5:17] Each of these roles has tasks underneath of them or at least they should, right? Of course,
[5:22] they should. But all of these is to organize humans not to organize the inputs and outputs.
[5:30] Because in an organization, if we were to do something perfectly, we would have it much more
[5:34] like a manufacturing business. Now, what does that mean? Every business at its most basic level
[5:39] takes raw inputs, adds some special sauce, and then you get an output that's more valuable.
[5:44] And so in a service business, it means you take raw talent, you add training and skills or you put
[5:49] multiple of these skills together that when those skills taken in aggregate are worth more than
[5:53] any of the individuals on their own, right? So if you've got somebody who knows how to write,
[5:57] somebody's how to read, somebody's how to record, somebody's how to edit,
[5:59] if we're all together, all of a sudden you have an advertising agency. And somebody else who can buy
[6:02] adds a great, you have an advertising agency, right? And so, but the thing is that this is our
[6:07] organizational structure is to organize communication between humans and hierarchy for decision-making.
[6:12] But if you had the same rules from the beginning of how everything should be created,
[6:16] then all of these little dashes that I have underneath of here, which are the tasks that someone does
[6:20] should just be organized in a linear fashion that then create an output.
[6:27] And so the key is not saying, I'm going to automate away this person. You just have to look at
[6:32] one layer underneath of that and say, what are the 10 things this person does? Let me see if I can
[6:35] just automate this one task and this next task. And if you are that person, if you're not automating
[6:40] your own job, you are missing the boat here. Like, I was talking to a good friend of mine who is a
[6:46] very good entrepreneur last night and he spun up a division within his company and the sole thesis
[6:51] or mission of that business is to put his much larger business out of business. And so if you're not
[6:56] thinking about that same level of like, okay, well, I'm going to take 20% of my time to try and put
[7:01] myself out of a job because the thing is, if you don't adapt, you will eventually be out of a job.
[7:05] The question is whether you're going to be the one who controls that automation or somebody else
[7:09] well. And so let me talk about what the future of business is going to look like, at least in the
[7:12] medium term, the medium term is going to be B-Y-O-S. So what does that mean? It's going to be
[7:18] bring it your own software or B-Y-O-A, bring your own agent or agents. And so when you approach
[7:26] your business, and this means that also there's going to be tremendous earning power even at the
[7:30] employee level, which is, you know, a shit on by the gurus of the internet. But if I can approach
[7:37] your business and say, I am your entire marketing department. And so famously, maybe we'll
[7:42] post it up here. Andthropic has one person in their marketing department. How is that possible? Now,
[7:47] of course, they get tons of PR. There's other things that I think help them out. But the big point
[7:52] here is that they've got one guy who's doing it, whether that's just marketing, lingo, or not,
[7:55] we can be sure that that one person is still doing a ton of stuff. All right. And it's not really
[7:58] that that person's doing a ton of stuff. They have automated and created agents that do a lot of
[8:02] that work for them. And so all of a sudden, if you think about the marketing spend that a business
[8:06] would allocate for an entire department of people to get an output, if you can get that output
[8:10] because of agents that you've trained on your way of doing things, then you become very valuable.
[8:14] Now, can you do that as a contractor and start an agency around it for sure? Can you do it because
[8:18] you want to embed within a company? I got a slice of equity. Sure. Can you do it just because
[8:21] you want to get paid more cash? All of these are things that are available to you, but they have
[8:24] never been available until now. Think about what business is needs in terms of functions and outputs
[8:30] and just erase the titleism that exists in the private market because I do not think it's going
[8:36] to survive. And so if you are that employer, that entrepreneur, and you're like, okay, well,
[8:39] I want to I want to do this stuff, right? I want to I want to actually like use AI. I want to have
[8:44] agents that do work for me. Where people fall off is that they're not training AI the way they
[8:49] would train a new employee. And so they have a they have the house to say employee. They have the
[8:54] agent do something and the app goes back and it sucks. And they're like, oh, this will never work.
[8:57] Again, I will remind you, this is the worst that will ever be number one. Number two, if you had
[9:03] a brand new employee and then you said, do this task for me. And then they give some back to you.
[9:08] Would you immediately fire them? Probably not. You'd be like, oh, I just need to train you more.
[9:13] And if you think, oh, well, AI can't do what humans can do. I really want to break that I want to
[9:18] want to destroy this for the people who don't get it. And if you do get it, then maybe you need
[9:22] to send this to your employees, your team because this is real. Humans learn the reinforcement.
[9:28] Meaning you do a thing, you get an outcome, good or bad. If it's good, you do more of it.
[9:33] If it's bad, you do less of it. That's how humans learn. Period. And so when someone says, oh,
[9:39] but you know, this person has such good taste, it means that they recognize the pattern. They
[9:45] communicate that pattern and they were rewarded for for doing that. And so they do more and more of it.
[9:50] And so they get better and better at recognizing patterns. Guess what's really good at recognizing
[9:54] patterns even better than humans? Computers. And so fundamentally, you train a computer the way
[10:00] you should train a human. The reality is that most people don't train humans like they should train
[10:04] computers. And as a result, they're bad at training. But one of the things that if you've ever
[10:08] rolled my channel at all, I'm a big believer in thinking through operations, thinking through
[10:12] observable behaviors. And so this has actually been an amazing translation for my skill set
[10:17] into training AI because if you take all of the emotional words out of it, take all of the
[10:22] ephemeral, take all of the intangible out of all of your words, charisma, make it lighter,
[10:28] make like all of these words that people use and just say like, what do you want to have happen,
[10:34] which most people do not do because they do not define what good looks like? If you can actually
[10:38] take the time to define what you actually want rather than expecting the other person to guess
[10:43] and somehow get it right or how expect the agent to guess and get it right, which is really what
[10:48] we're doing, then all of a sudden you'll be able to be so much better as an AI trainer, which is
[10:53] fundamentally where you're going to be, so that they can actually do the work that you want them to do
[10:57] and do it at a hundred times the speed with no complaints and at a hundredth of the cost.
[11:02] And so I'll give you, I'll give you an example. If you're like, hey, I want, like this is a very
[11:06] simple example because most people can understand this use case, which is like, hey, I want you to write
[11:10] some copy for me, right? So it's like, hey, write this emo copy for me. If they write copy and it
[11:15] sounds like AI slop, it's usually because you didn't give anything to it besides right words that
[11:20] are English and correct and make it sound like the internet, which is fundamentally what AI sounds
[11:24] like. It goes train on the internet, right? And so it's not the best writing. But if you say, hey,
[11:28] here's 12 rules that you can ever break and here's 16 writing samples of mine. And now what you
[11:33] write only according to this, you're going to probably get an output that's probably like five
[11:36] times as good at that. Now, if you repeat that loop a hundred more times, all of a sudden you'll have
[11:40] an output that's that's perfectly trained on the patterns, except with a person, they forget some
[11:45] of the things you said 16 times ago and it takes them time to go type it or time to go, you know,
[11:50] learn that feedback cycle and those hundred cycles might take you a year and a half with a person
[11:54] but it can take you a hundred minutes with AI. Some of you are not using AI at all. Some of you
[11:57] guys are AI lagers and are like, I don't need it. No one's ever going to replace humans and good
[12:01] for you. I love that for you. It'll make it easier to beat you, but you know, do you? There are people
[12:07] today that use fax machines. There are people today who still count on their fingers. It doesn't
[12:13] mean that it makes them more likely to compete. It means that they're competing and still winning
[12:18] with a disadvantage, which means that they have to be so much better in other arenas, right? And so
[12:23] it'd be like not getting on the internet for your company. Are there companies right now that do
[12:27] not have websites and make money? Absolutely. Do they make as much as they could? Probably not.
[12:33] And so this is an absolute promise to you is that throughout all of human history,
[12:39] humans plus superior technology beat humans with inferior technology. It worked from the
[12:45] stone age to the bronze age. It worked from the bronze age to the iron age. It worked from the
[12:48] iron age to the titanium age, right? Or the aluminum, which I think my Aussie say, you can see it
[12:55] very naturally. And so also I want to give this as a little bit like a tiny bit of
[13:00] stress relaxation for you. As long as it is humans plus tools against humans with other tools,
[13:10] then you are still competing in humans. And as long as that game still goes, you should feel
[13:14] endlessly confident. The day that you try to beat the machine, you will lose. And every time we've
[13:19] tried to say we like machines will never be this at chess machines will never be this at go machines
[13:24] will never be this at insert x they always do. Just like autopilot on planes, everyone is very
[13:29] against it. Now there's going to be pushback on a lot of AI stuff, but not because of its function,
[13:34] but because of people's emotions around it. Real quick, I'm going to show you the exact 10-stage
[13:38] roadmap from zero to a hundred million plus that less than 1% of companies finish I've now done
[13:43] multiple times. And so I can say with a lot of confidence that these are the stages as headcount
[13:47] increases that you need to get through. And I broke each of these down by eight different functions
[13:52] of the business. What the constraint feels like? Like what are the symptoms of it when you're going
[13:56] through it? And then what steps we actually took to graduate? And we've done this across software,
[14:00] physical products, service businesses, brick-and-mortar, all of this, and it works. And it's my gift to you,
[14:07] it's aptly free. And so the link's in the description, but you just go acquisition.com for
[14:10] its last roadmap, just enter info and it'll spit it right back to you all free.
[14:13] Now in a world of infinite AI labor and intelligence where the cost of intelligence in labor
[14:19] go to functionally zero, rather the cost of energy. The last valuable thing that a human will
[14:24] get paid to do would be to take risk. And so then it's something that you incur that no one
[14:29] else can really take away from you, which is why like I think like money will exist in the future.
[14:33] It's just that labor won't have value. And that's where this gets difficult. So it'll be more and
[14:37] more difficult to provide value to a marketplace. When you yourself, your labor, your inherent work
[14:42] no longer has value when there's a robot that has infinite intelligence inside of it. It's stronger,
[14:46] it's faster, and it works for two and a half. It works for the price of the electricity that runs
[14:50] it. Very hard. And this is again, not to scare you, but to prepare you for what is going to come.
[14:59] And so if you're on mainstream right now and you're thinking, oh, like every company is going
[15:05] to become a technology company, you wouldn't think of yourself as a technology company today,
[15:10] but it's like, well, do you use social media? Do you use the internet? Do you use email?
[15:15] Do you use phone? These are all components of technology that you integrated into your business.
[15:19] And I would consider this the last bastion of where humans play that role. Now, obviously,
[15:24] GDP is in gross domestic product. The amount that companies have made per head count has continued
[15:29] to go out. If we look at the economy, what are the two factors that drive output? It's education,
[15:33] aka skills and technology, right? And so when you have infinite labor with infinite intelligence,
[15:40] there's going to be a big explosion in GDP gross domestic product. There's many more companies
[15:45] than ever before. And I also think that when many roles are going to get automated way, the
[15:49] amount of businesses that will bloom from this will be huge. But I will not say that like, I know,
[15:55] and I don't think anyone does know, but I'd like, what are the few things that I can bet on?
[15:58] Right? I would like, I believe in a barbell strategy for approaching the future. So what does that mean?
[16:05] On one extreme, this is the high risk high reward. This is, I'm fully incorporating AI
[16:10] and all my stuff. All my businesses are going to be AI first, AI native, AI forward. I have to
[16:14] be willing to have the hard conversations with team to get them to level up. And if they don't,
[16:18] I have to have to have the even hard conversation that we no longer need them because we've automated
[16:22] a way of the role. I have to be willing to do that because guess what? You might not be willing to
[16:25] do that, but there's going to be a startup that just doesn't have to have that conversation that
[16:29] is going to already be automating those roles and they will beat you. That's the high risk
[16:35] high reward side. On the other side, it's what are the few bets, and this is Jeff Bezos frame,
[16:40] which is what are the few bets that I can make that I believe won't change? What things will
[16:45] absolutely still exist? I believe that humans will still have bodies, at least in the near-immune
[16:50] term. So I think health-related things will absolutely exist. So healthcare, fitness-related stuff,
[16:57] all that stuff was consumables, food supplements, all that stuff will still exist. I think in a world
[17:03] where there is way more robots and way more work getting done for humans, what will humans have?
[17:08] If we look at human history, we have more of one thing which is leisure or downtime.
[17:13] So what do we fill our leisure or downtime with? Entertainment. I believe entertainment is going to
[17:17] boom. It's already big. It's gone. It's continued to grow as a percentage of GDP, and I think it
[17:22] will explode because I think people have more time on their hands, and entertainment is typically
[17:26] very cheap. And so if you're one of like, you can make a full-motion picture now. And there's this
[17:31] period of time where the prices have not adjusted to the cost basis associated. And so you can make
[17:37] some viral social media videos and get huge amount of PR for a movie that you made entirely
[17:41] with AI and make $100 million, $200 million, and the view of that is it's all margin. And you can
[17:49] absolutely do that. So why don't people do it? Because people are afraid to take action, but is that
[17:54] they are absolutely? I'll also give you something that will make some people uncomfortable, it's just
[17:58] an absolute reality of business in general, is that if you actually really want to know the
[18:02] bleeding edge of like what's going to happen with anything is in terms of tech, as it incorporates
[18:06] in business. I know this is going to sound a little bit off-putting for some people. Look at porn.
[18:12] Whatever porn adopts first eventually makes its way down. So what have we already seen happen
[18:18] in the porn industry? You've got AI avatar girls who are, you know, people are spinning up these
[18:23] AI avatars. They have an army of 100 girls or guys. I don't know whatever your flavor is, right?
[18:27] Or aliens. I mean, again, whatever you want. Where people, and I'm not saying good or bad,
[18:31] I'm just saying pure economics, right? Where they don't have to deal with the drama associated with,
[18:35] they don't have to film them, they don't have to give, they just make videos, they render them,
[18:39] they sit them now, they have chats that is really just a chatbot that's going back and forth to
[18:44] someone that's been trained on 10,000 porn related conversations and people pay for them. And so
[18:49] what I believe is going to happen in the future. I believe that humans will need a place to live.
[18:54] I believe they will need food to eat. I believe that they will have things they need to do with their
[18:57] time for entertainment. I believe those are industries that I would absolutely say like these things
[19:01] will not change. Now, which one wins? Who knows? But those industries, I think will exist.
[19:05] And then I'll give you my hell and a hell and a hand basket frame. So what is having?
[19:09] If there's a world where everything goes to shit, then it doesn't really matter.
[19:15] Right? And so I have to walk myself back off of the apocalyptic angle of like, okay,
[19:21] well, if all of these things eventually disrupt and there's a permanent underclass and no one
[19:25] has any money and there's only a select few who actually leaned into technology to acquire
[19:30] all the wealth in the world. If that were to happen, you know, it's all going to be anarchy.
[19:35] Maybe I don't know, but I just prefer to exist in a world where, you know, I'm hoping for the best,
[19:40] preparing for the worst, but I am absolutely hoping for the best. And I think in the hell and a
[19:45] hand basket world, none of it will matter. Prepare for sunshine and rain. Just be an all-weather type
[19:50] of person. And I think if you do that, you'll give yourself the best chance at succeeding whatever
[19:54] the next season looks like. And I'll give you a final kind of thought, thought experiment that
[19:59] might be helpful for you. So I read this on a Brian Johnson post from Blueprint, if you've heard
[20:03] of him, he's the, he's the longevity guy. He said, what, what people do not realize is that
[20:08] they've been training their entire lives to swim. And you think that you can swim in all types of
[20:13] whether you get to become a better and better swimmer, right? And you know, there's those waves
[20:17] crashing and you're like, no, you go from in a pool or a lap pool to a lake to eventually you're,
[20:22] you're swimming off the coast to eventually you're free, free ocean swimming from border
[20:26] country to the next border country, right? It's a crazy level. He said, but the change that's
[20:30] about to happen is a phase shift where you're swimming, but then all of a sudden the water boils
[20:36] and now you're in gas, because the water all evaporated and you're flapping your arms and it
[20:41] doesn't matter how good of a swimmer you are, the fundamental physics of the environment will
[20:45] have changed. And so that is the change that we're on the precipice of. Now, hopefully this was
[20:49] not doom and gloom because I actually see this tremendous opportunity because humans are slow
[20:55] to adapt in general. So what does that mean? First off, if you're watching this, you're already
[20:59] probably had a most people anyways, because most people just exist, put their, put their head in the
[21:02] dirt. There's so many people over age 50 that are like, I'm told for this shit and guess what?
[21:07] They got all the money. And so what's really interesting is that all the people got all the money
[21:11] are going to quickly realize that it's going to go somewhere else, which is not to them because
[21:15] they did not adapt. So that's a big opportunity. There's also a huge opportunity to obviously
[21:20] going to regular businesses and automating them for portions of their work. But when I said humans
[21:23] are slow to adapt, it also means their price sensitivity is also slow to adapt. Meaning if people
[21:27] are used to pay $2,000 a month or something, that embedded in their prices, the typical costs of
[21:32] labor. And so if you can still charge that $2,000 price for whatever it is, right? And instead of
[21:40] costing you $500 a month, it costs you $50 a month or $5 a month, the margin, number one,
[21:47] that you can earn is tremendous. But second and more importantly, the amount of operational leverage
[21:51] you have, meaning the amount of people per dollar of additional revenue you need to create
[21:55] goes down dramatically. As in one person that can bring millions and millions in revenue in,
[22:00] it becomes much easier to scale because one of the biggest costs of scaling is just the
[22:04] coordination between humans. And so what I would encourage you to do is you're like, okay,
[22:10] I heard all this stuff. I feel motivated to do something. What should I do? This is what I'm
[22:14] motivated you to do. Write down a list of what you do do every day. And I'm saying at the most
[22:21] granular level, you respond to emails, you respond to Slack messages, maybe you make content,
[22:25] maybe you make ads, you run ads, you have to separate these out into individual
[22:29] titles. What's the task, right? Don't think it, don't think it chunked up. Don't think I make,
[22:33] you know, I run ads. It's like, yeah, there's a lot of stuff underneath that, right? You make
[22:37] campaigns, you set budgets, you analyze results, you make the creative, you write copy,
[22:41] you test different landing pages, you test different headlines on the pages. There's lots of
[22:44] things that are underneath of that bucketed term of like I run ads, right? Take all of the tasks
[22:50] and then look at those tasks and take the first one and put it into AI and say, help me automate this.
[22:57] What stuff did you take? It'll give you a list and then take the first thing on the list and do it.
[23:02] If you get stuck, here's a little prototype. Screenshot your screen and put it in and say,
[23:07] what do I do now? And it'll tell you. And then screenshot the next chance, say, what do I do now?
[23:10] And it'll tell you. Like everyone now, here's the craziest thing of all,
[23:15] is everyone has an AI tutor at their fingertips that you're just not using. So with that,
[23:21] this is the type of stuff that we were obviously actively working on inside of our
[23:25] ACU vandish community. So if you are a million dollar plus business owner, we're talking about
[23:28] stuff that we're doing right now every day inside of ACU. And obviously we have an AI product
[23:33] that we've been training for years now. We also have like a salesman that we've been training.
[23:36] We've got a lot of stuff that we've been doing and keeping more or less behind, you know,
[23:40] behind closed doors, if you will, capitalizing an opportunity if you will. But you can go check
[23:43] that out, all the link below the thing. But with that, peace and blessings be upon you in your bloodline.
[23:48] And I wish you the absolute best and I hope you were in the permanent upper class
[23:52] and not permanent underclass in the world that comes.

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