00:00:00Wake up. AI is here. Open Claw moment happened over President's Day weekend, and it started a month earlier
00:00:06and it was already acquired for a billion dollars by Open AI. If you're not paying attention to this,
00:00:11then you will be left behind. That being said, I am not here to fear monger.
00:00:15I'm here to try and prepare you for what I think is gonna be the biggest shift that's going to happen in Main Street,
00:00:19not just the tech businesses. If you're still even doubting this at all,
00:00:22this is kind of like news flash for you, is that AI will never be worse than it is right now.
00:00:27And if you assume any rate of improvement over any reasonable time period,
00:00:32learning how to use AI should become your number one priority, your number two priority, number three priority,
00:00:38and your number ten priority. And so that's why in this video, I'm going to share some ways to think about AI
00:00:43and use cases right now that you can deploy today or by the end of this video to make significant changes
00:00:49in your business or star one or how you work within a larger business,
00:00:52because I'll show you how to safeguard your role there too, because I think it's important.
00:00:55This is also for my team. So there's never been a better time to start an AI first business to disrupt an existing market
00:01:02because all the people in that existing market are so busy running their business rather than learning AI
00:01:08and using words like AI first rather than actually being AI first.
00:01:13And so the advantage that you have if you're starting out is that you have time.
00:01:17But the thing is, is that every single skill you're able to stack into your ability to use AI is going to give you
00:01:21disproportionate leverage over your competitors. And so having started some companies in this period of time
00:01:27that I'm not as public about, we have companies that revenue per employee, we're talking about in the millions per year
00:01:32per head, because day one, we started that way. Because as much as people want to say they're AI first,
00:01:37if you have a big organizational chart of people, it's very hard, one, to get people to do stuff that's new and uncomfortable,
00:01:43which technology typically is. And then also because people aren't willing to make the hard conversations of saying,
00:01:47"Hey, we automated away this role." Now what people then think is, "Oh, well, let's find something else for Danny to do."
00:01:53But the thing is, is that I would encourage you to raise the bar for the whole company and the people who can meet that new bar
00:01:59get to stay and the 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?
00:02:06And there was basically, I'll play a little thing by Jerome Powell, he just said this I think yesterday, two days ago,
00:02:12about how there was zero jobs growth in the private sector.
00:02:17Effectively there's zero net job creation in the private sector.
00:02:20Think about how weird that is. Not that the economy's not doing well. It's that people are automating jobs away, all right?
00:02:26Now again, this video is not to scare you, but this video hopefully at least motivates you to take some action,
00:02:32because I think that it won't happen and then it will happen very quickly.
00:02:35So in game theory, the most flexible system survives. And so it's very much like business Darwinism, if you will,
00:02:42which is that it's the people who can adapt are the ones who survive. It's not the strongest or the smartest, people are the most adaptable.
00:02:49And so that means that when there's a change in the environment, right now, you have to change, you have to adapt.
00:02:54And learning how to use the tools is the first and best way that you can do it.
00:02:57For 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
00:03:05than by freeing the potential downside that a small percentage of people experience.
00:03:09So 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.
00:03:14Of course, there's weird edge cases where someone gave too many permissions to an agent and they didn't have enough guardrails installed.
00:03:20But it's like saying I got hacked on the internet, so I should never use the internet again.
00:03:25It's not good reasoning, right? And so why don't more people adopt AI?
00:03:30Well, 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.
00:03:38So 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.
00:03:46It's like, yeah, but as soon as you train them, then they can do the work forever, right? It makes sense to do it.
00:03:50But 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.
00:03:56And I will repeat this tweet that I've said before, because I think it's so relevant right now.
00:04:00It takes about 20 hours to become proficient in any new skill, but people delay the first hour decades.
00:04:06And 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.
00:04:14All right. 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,
00:04:20your understanding of it will increase more than any amount of articles that you can read that are fear mongering and baiting you in, right, that are just getting for views and impressions.
00:04:29Let's shift to like what this actually looks like within an organization, whether you're working at one or you're leading one or you own one,
00:04:34is that you have to stop thinking in role based thinking and start thinking in workflow based thinking.
00:04:39So 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,
00:04:50does with their hands and their eyes and like in their mouth, does stuff.
00:04:54All right. And then ask whether each of those activities could live inside of a workflow instead instead of headcount.
00:04:59And so the old thinking or the old paradigm is I need to hire an editor.
00:05:04The new thinking or paradigm is what are these five things an editor actually does that creates a video?
00:05:11And each one of those things should be a workflow. So let me just give you a visual to kind of drive this home.
00:05:15So let's say that you have an organization that looks like this. OK, very simple.
00:05:21Each of these roles has tasks underneath of them, or at least they should. Right, of course, they should.
00:05:28But all of these is to organize humans, not to organize the inputs and outputs, because in an organization,
00:05:36if we were to do something perfectly, we would have it much more like a manufacturing business.
00:05:40Now, what does that mean? Every business at its most basic level takes raw inputs, add some special sauce, and then you get an output that's more valuable.
00:05:49And so in a service business, it means you take raw talent, you add training and skills, or you put multiple of these skills together,
00:05:56that when those skills taken in aggregate are worth more than any of the individuals on their own.
00:05:59Right. So if you've got somebody who knows how to write, somebody's got to read, somebody's got to record, somebody's got to edit, put all that together.
00:06:05All of a sudden you have an advertising agency and somebody else who can buy ads. Great. You have an advertising agency.
00:06:08Right. And so but the thing is, is that this is our organizational structure is to organize communication between humans and hierarchy for decision making.
00:06:17But if you had the same rules from the beginning of how everything should be created,
00:06:21then 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.
00:06:32And so the key is not saying I'm going to automate away this person.
00:06:36You just have to look at one layer underneath of that and say, what are the 10 things this person does?
00:06:40Let me see if I can just automate this one task and this next task.
00:06:44And if you are that person, if you're not automating your own job, you are missing the boat here.
00:06:49Like 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.
00:06:55And the sole thesis or mission of that business is to put his much larger business out of business.
00:07:01And so if you're not thinking about that same level of like, OK, well, I'm going to take 20 percent of my time to try and put myself out of a job,
00:07:08because the thing is, is if you don't adapt, you will eventually be out of a job.
00:07:11The question is whether you're going to be the one who controls that automation or somebody else.
00:07:15Well, and so let me talk about what the future of business is going to look like, at least in the medium term.
00:07:19The medium term is going to be BYOS. So what does that mean?
00:07:23It's going to be bring your own software or BYOA, bring your own agent or agents.
00:07:30And so when you approach a business and this means that also there's a tremendous earning power,
00:07:35even at the employee level, which is a shit on by the gurus of the Internet.
00:07:42But if I can approach a business and say, I am your entire marketing department as a famously maybe posted up here,
00:07:49Anthropic has one person in their marketing department. How is that possible?
00:07:53Now, of course, they get tons of PR. There's other things that I think help them out.
00:07:56But the big point here is that they've got one guy who's doing it, whether that's just marketing lingo or not.
00:08:01We can be sure that that one person is still doing a ton of stuff. All right.
00:08:04And it's not really that that person's doing a ton of stuff. They have automated and created agents that do a lot of that work for them.
00:08:09And 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,
00:08:15if you can get that output because of agents that you've trained on your way of doing things, then you become very valuable.
00:08:20Now, can you do that as a contractor and start an agency around it? For sure.
00:08:23Can you do it because you went in bed within a company and get a slice of equity? Sure.
00:08:26Can 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.
00:08:32Think 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.
00:08:42And so if you are that employer, that entrepreneur, and you're like, OK, well, I want to I want to do this stuff, right?
00:08:47I want to I want to actually like use A.I. I want to have agents that do work for me.
00:08:52Where people fall off is that they're not training A.I. the way they would train a new employee.
00:08:57And so they haven't they have the husband say, but they have the agent do something and the output goes back.
00:09:02And it sucks. They're like, oh, this will never work again. I will remind you, this is the worst that will ever be.
00:09:07Number one. Number two, if you had a brand new employee and then you said, do this task for me and then they give some back to you, would you immediately fire them?
00:09:16Probably not. You'd be like, oh, I just need to train you more. And if you think, oh, well, you know, I can't do what humans can do.
00:09:23I really want to break that. I want to I want to destroy this for the people who don't get it.
00:09:27And if you do get it, then maybe you need to send this to your employees, your team, because this is real.
00:09:32Humans learn the reinforcement, meaning you do a thing, you get an outcome, good or bad.
00:09:39If it's good, you do more of it. If it's bad, you do less of it. That's how humans learn, period.
00:09:44And so when someone says, oh, but, you know, the person has such good taste, it means that they recognized a pattern.
00:09:51They communicate that pattern and they were rewarded for for doing that.
00:09:55And so they do more and more of it. And so they get better and better at recognizing patterns.
00:09:59Guess what's really good at recognizing patterns even better than humans? Computers.
00:10:04Right. And so fundamentally, you train a computer the way you should train a human.
00:10:08The reality is that most people don't train humans like they should train computers.
00:10:11And as a result, they're bad at training. But one of the things that if you've ever on my channel at all,
00:10:16I'm a big believer in thinking through operations, thinking through observable behaviors.
00:10:20Right. And so this has actually been an amazing translation for my skill set integrating A.I., because if you take all of the emotional words out of it,
00:10:28right, take all of the ephemeral, take all of the the intangible out of all of your words, charisma, make it lighter,
00:10:35make like all of these words that people use and just say, like, what do you want to have happen?
00:10:41Which most people do not do because they do not define what good looks like.
00:10:44If you can actually take the time to define what you actually want rather than expecting the other person to guess
00:10:50and somehow get it right or expect the agent to guess and get it right, which is really what we're doing,
00:10:56then all of a sudden you will be able to be so much better as an A.I. trainer, which is fundamentally where you're going to be,
00:11:02so 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 100th of the cost.
00:11:09And so I'll give you I'll give you an example. If you're like, hey, I want like this is a very simple example,
00:11:14because most people understand this use case, which is like, hey, I want you to write some copy for me.
00:11:19Right. So it's like, hey, write this email copy for me. If they write copy and it sounds like A.I. slop,
00:11:24it'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,
00:11:31which is fundamentally what A.I. sounds like. It was trained on the Internet. Right.
00:11:33And so it's not the best writing. But if you say, hey, here's 12 rules that you can never break and here's 16 writing samples of mine.
00:11:41And 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.
00:11:45Now, if you repeat that loop 100 more times, all of a sudden you'll have an output that's that's perfectly trained on the patterns,
00:11:51except 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.
00:12:01And those hundred cycles might take you a year and a half with a person, but it can take you 100 minutes with A.I..
00:12:05Some of you are not using A.I. at all. Some of you guys are A.I. laggards and are like, I don't need it.
00:12:09No one's ever going to replace humans. And good for you. I love that for you. It'll make it easier to beat you.
00:12:14But, you know, do you? There are people today that use fax machines.
00:12:20There are people today who still count on their fingers. It doesn't mean that it makes them more likely to compete.
00:12:27It means that they are competing and still winning with a disadvantage, which means that they have to be so much better in other arenas.
00:12:33Right. And so it would be like not getting on the Internet for your company.
00:12:36Are there companies right now that do not have websites and make money? Absolutely. Do they make as much as they could?
00:12:43Probably 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.
00:12:54It 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.
00:13:01Right. Or the aluminum, which I think my Aussies say, to what you can see it very naturally.
00:13:08And so also I want to give this as a little bit like a tiny bit of stress relaxation for you.
00:13:16As long as it is humans plus tools against humans with other tools, then you are still competing against humans.
00:13:25And as long as that game still goes, you should feel endlessly confident. The day that you try to beat the machine, you will lose.
00:13:31And every time we've tried to say we like machines will never beat us at chess, machines will never beat us at Go, machines will never beat us at insert X.
00:13:38They always do. Just like autopilot on planes, everyone is very against it.
00:13:42Now, there's going to be pushback on a lot of A.I. stuff, but not because of its function, but because of people's emotions around it.
00:13:48Real quick, I'm going to show you the exact 10 stage roadmap from zero to 100 million plus that less than one percent of companies finish.
00:13:55I've now done multiple times. And so I can say with a lot of confidence that these are the stages as headcount increases,
00:14:00that you need to get through. And I broke each of these down by eight different functions of the business.
00:14:05What the constraint feels like, like what are the symptoms of it when you're going through it?
00:14:09And 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.
00:14:17And it works. And it's my gift to you. It's absolutely free. And so the links in the description.
00:14:21But you just go acquisition.com/roadmap, just enter info and it'll spit it right back to you all free.
00:14:26Now, in a world of infinite A.I. labor and intelligence. Where the cost of intelligence and labor go to functionally zero, rather the cost of energy.
00:14:35The last valuable thing that a human will get paid to do will be to take risk.
00:14:40And so that is something that you incur that no one else can really take away from you, which is why I think like money will exist in the future.
00:14:46It's just that labor won't have value. And that's where this gets difficult.
00:14:49So it'd be more and more difficult to provide value to a marketplace when you yourself, your labor, your inherent work no longer has value when there's a robot that has infinite intelligence inside of it.
00:14:59It's stronger, it's faster and it works for $200. It works for the price of the electricity that runs it very hard.
00:15:05And this is, again, not to scare you, but to prepare you for what is going to come.
00:15:11And so if you're on Main Street right now and you're thinking, oh, like every company is going to become a technology company.
00:15:20You wouldn't think of yourself as a technology company today, but it's like, well, do you use social media?
00:15:25Do you use the Internet? Do you use email? Do you use phone? These are all components of technology that you integrated into your business.
00:15:31And I would consider this the last bastion of where humans play that role.
00:15:36Now, obviously, GDP is in gross domestic product. The amount that companies have made per headcount has continued to go up.
00:15:42If we look at the economy, what are the two factors that drive output? It's education, a.k.a. skills and technology.
00:15:48Right. And so when you have infinite labor with infinite intelligence, there's going to be a big explosion in GDP, gross domestic product.
00:15:57There's more companies than ever before. And I also think that when many roles are going to get automated way, the amount of businesses that will bloom from this will be huge.
00:16:06But I will not say that, like, I know and I don't think anyone does know, but I'd like what are the few things that I can bet on?
00:16:12Right. I would like I believe in a barbell strategy for approaching the future. So what does that mean?
00:16:19On one extreme, this is the high risk, high reward. This is I'm fully incorporating A.I. and all my stuff.
00:16:25All my businesses are going to be A.I. first, A.I. native, A.I. forward. I have to be willing to have the hard conversations with team to get them to level up.
00:16:31And if they don't, I have to be have to have even a hard conversation that we no longer need them because we've automated away the role.
00:16:37I 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.
00:16:48That's the high risk, high reward side. On the other side, it's one of the few bets and this is Jeff Bezos frame, which is one of the few bets that I can make that I believe won't change what things will absolutely still exist.
00:17:01I believe that humans will still have bodies, at least in the near to medium term.
00:17:05So I think health related things will absolutely exist. So health care, fitness related stuff, all that stuff, consumables, food, supplements, all that stuff will still exist.
00:17:16I think in a world where there is way more robots and way more work getting done for humans, what will humans have?
00:17:22If we look at human history, we have more of one thing, which is leisure or downtime.
00:17:27So what do we fill our leisure downtime with? Entertainment. I believe entertainment is going to boom.
00:17:33It'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.
00:17:41And so if you were 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.
00:17:50And 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.
00:18:00And the beauty of that is it's all margin. And you can absolutely do that.
00:18:05So why don't people do it? Because people are afraid to take action. But is that there? Absolutely.
00:18:10I'll also give you something that will make some people uncomfortable.
00:18:12It'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 it incorporates in business.
00:18:21I 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.
00:18:31So what have we already seen happen in the porn industry? You've got AI avatar girls who are people are spinning up these avatars.
00:18:38They 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.
00:18:46I'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.
00:18:51They don't have to give. They just make videos. They render them. They send them out. They have chats.
00:18:56That is really just a chat bot that's going back and forth. Some of that's been trained on 10000 porn related conversations and people pay for them.
00:19:03And so what I believe is going to happen in the future, I believe that humans will need a place to live.
00:19:09I believe they will need food to eat. I believe that they will have things they need to do with their time for entertainment.
00:19:14I believe those are industries that I would absolutely say like these things will not change. Now, which one wins? Who knows?
00:19:19But those industries I think will exist. And then I'll give you my hell in a hell in a handbasket frame.
00:19:24So what does that mean? If there's a world where everything goes to shit, then doesn't really matter.
00:19:33Right. And so I have to walk myself back off of the the apocalyptic angle of like, OK, well, if all of these things eventually disrupt and there's no and there's a permanent underclass and no one has any money.
00:19:45And there's only a select few who actually leaned into technology to acquire all the wealth in the world.
00:19:51If that were to happen, you know, it's all going to be anarchy. Maybe. I don't know.
00:19:55But I just prefer to exist in a world where, you know, I'm hoping for the best, preparing for the worst.
00:20:01But I am absolutely hoping for the best. And I think in the hell in a handbasket world, none of it will matter.
00:20:06Prepare for sunshine and rain. Just be an all weather type of person.
00:20:10And I think if you do that, you'll give yourself the best chance at succeeding whatever the next season looks like.
00:20:16And I'll give you a final kind of thought thought experiment that might be helpful for you.
00:20:19So I read this on a Brian Johnson post from Blueprint. If you've heard of him, he's the he's the longevity guy.
00:20:24He said what what people do not realize is that they've been training their entire lives to swim.
00:20:30And you think that you can swim in all types of weather and you're going to become a better and better swimmer.
00:20:34Right. And, you know, there's waves crashing and you're like, you know, you go from in a pool or a lap pool to a lake to eventually you're you're swimming off the coast to eventually you're free, free ocean swimming from border country to the next border country.
00:20:46Right. So crazy levels. But the change that's about to happen is a phase shift where you're swimming.
00:20:53But 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.
00:21:00It doesn't matter how good of a swimmer you are. The fundamental physics of the environment have changed.
00:21:05And so that is the change that we're on the precipice of. Now, hopefully this was not doom and gloom because I actually see this tremendous opportunity because humans are slow to adapt in general.
00:21:16So what does that mean? First off, if you're watching this, you're probably ahead of most people anyways, because most people just exist, put their put their head in the dirt.
00:21:22There's so many people over age 50 that are like, I'm too old for this shit. And guess what? They got all the money.
00:21:27And 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.
00:21:36So that's a big opportunity. There's also a huge opportunity to obviously going to regular businesses and automating comport portions of their work.
00:21:42But when I said humans are slow to adapt, it also means their price sensitivity is also slow to adapt.
00:21:46Meaning if people are used to paying two thousand dollars a month for something that embedded in their price is the typical cost of labor.
00:21:53And so if you can still charge that two thousand dollar price for whatever it is.
00:21:59Right. And instead of it costing you five hundred dollars a month, it costs you fifty dollars a month or five dollars a month.
00:22:05The 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 needed to create goes down dramatically.
00:22:16As in one person 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.
00:22:26And so what I would encourage you to do is you're like, OK, I heard all this stuff. I feel motivated to do something. What should I do?
00:22:33This is what I motivate you to do. Write down a list of what you do do every day.
00:22:39And 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.
00:22:47You have to separate these out into individual. What's the task? Right. Don't think don't think chunked up.
00:22:52I make you know, I run ads. It's like, yeah, there's a lot of stuff underneath that. Right.
00:22:56You make campaigns, you set budgets, you analyze results, you make the creative, you write copy, you you you test different landing pages, you test different headlines on the pages.
00:23:04There's lots of things that are underneath of that bucketed term of like I run ads.
00:23:08Right. Take all of the tasks and then look at those tasks and take the first one and put it into A.I. and say, help me automate this.
00:23:18What steps would you take? It'll give you a list and then take the first thing on the list and do it.
00:23:23If you get stuck, here's a little pro tip. Screenshot your screen and put it in and say, what do I do now?
00:23:28And they'll tell you. And then screenshot the next year and say, what do I do now? And it'll tell you.
00:23:32Like everyone now, here's here's just the craziest thing of all is everyone has an A.I. tutor at their fingertips that you're just not using.
00:23:40So with that, this is the type of stuff that we that we were obviously actively working on inside of our ACU Vantage community.
00:23:47So if you are a million dollar plus business owner, we're talking about stuff that we're doing right now every day inside of ACU.
00:23:52And obviously we have an A.I. product that we've been training for years now.
00:23:55We also have like a salesman that we've been training. We've got a lot of stuff that we've been doing and keeping more or less behind,
00:24:00you know, behind closed doors of capitalizing opportunity, if you will. But you can go check that out of a link below the thing.
00:24:06Maybe it's on the screen, whatever. But with that, peace and blessings be upon you and your bloodline.
00:24:11And 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.