How to Win With AI in 2026 — Transcript

Alex Hormozi explains why mastering AI by 2026 is crucial for business survival and growth, emphasizing adaptability and workflow automation.

Key Takeaways

  • AI adoption is essential for future business success and personal career security.
  • Adaptability and continuous learning are more important than strength or intelligence.
  • Workflow automation can replace traditional roles, requiring a mindset shift in hiring and management.
  • Fear of AI should not prevent adoption; the greater risk lies in complacency.
  • Investing time to learn AI skills now yields exponential returns and competitive advantage.

Summary

  • AI is rapidly advancing and will be a major shift affecting all businesses, not just tech.
  • Learning to use AI should be a top priority for individuals and companies to stay competitive.
  • Starting an AI-first business now offers a significant advantage over complacent incumbents.
  • AI enables disproportionate leverage, increasing revenue per employee dramatically.
  • Organizations must raise performance standards and adapt roles to incorporate AI automation.
  • Job growth is stagnant due to automation, highlighting the need for adaptability.
  • Fear of AI risks is often overblown compared to the risks of not adopting it.
  • Short-term discomfort in learning AI is outweighed by long-term benefits and survival.
  • Shift organizational thinking from role-based to workflow-based to optimize AI integration.
  • Businesses should organize around workflows and outputs rather than traditional human hierarchies.

Full Transcript — Download SRT & Markdown

00:00
Speaker A
Wake up, AI is here.
00:02
Speaker A
Open Claw moment happened over President's Day weekend and it started a month earlier and it was already acquired for a billion dollars by Open AI.
00:09
Speaker A
If you are not paying attention to this, then you will be left behind.
00:12
Speaker A
That being said, I'm not here to fearmonger, I'm here to try and prepare you for what I think is going to be the biggest shift that's going to happen in Main Street, not just the tech businesses.
00:20
Speaker A
If you're still even doubting this at all, this is kind of like news flash for you.
00:24
Speaker A
Is that AI will never be worse than it is right now, and if you assume any rate of improvement over any reasonable time period, learning how to use AI should become your number one priority, your number two priority, number three priority, and your number 10 priority.
00:39
Speaker A
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, because I'll show you how to safeguard your role there too, because I think it's important, because this is also for my team.
00:57
Speaker A
So there's never been a better time to start an AI first business to disrupt an existing market because all the people in that existing market are so busy running their business rather than learning AI and using words like AI first, rather than actually being AI first.
01:49
Speaker A
And so the advantage that you have if you're starting out is that you have time, but the thing is is that every single skill you're able to stack into your ability to use AI is going to give you disproportionate leverage over your competitors, and so having started some companies in this period of time that I'm not as public about, we have companies that revenue per employee, we're talking about in the millions per year per head because day one we started that way, because as much as people want to say they're AI first, if you have a big organizational chart of people, it's very hard one to get people to do stuff that's new and uncomfortable, which technology typically is, and then also because people aren't willing to make the hard conversations of saying, hey, uh, we automated away this role.
02:30
Speaker A
Now what people then think is, oh, well, let's find something else for Danny to do, but the thing is is that I would encourage you to raise the bar for the whole company, and the people who who can meet that new bar get to stay, and the people who don't, don't.
03:22
Speaker A
And I'm sorry, and I know that's that's ugly and that's harsh.
03:25
Speaker A
But like, this is reality.
03:27
Speaker A
Right, and like, there was basically, let me I'll play a little thing by Jerome Powell, he just said this, I think yesterday or two days ago, um, about how there was zero jobs growth in the private sector.
03:37
Speaker A
effectively, there's zero net job creation in the private sector.
03:40
Speaker A
Think about weird it is, not that the economy's not doing well, it's that people are automating jobs away.
03:46
Speaker A
All right, now, again, this video is not to scare you, but this video hopefully at least motivates you to take some action, because I think that it won't happen, and then it will happen very quickly.
03:55
Speaker A
So in game theory, the most flexible system survives, and so it's very much like business Darwinism, if you will, which is that you have like it's the people who can adapt are the ones who survive, it's not the strongest or the smartest people, but 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.
04:17
Speaker A
And learning how to use the tools is the first and best way that you can do it.
04:20
Speaker A
For those of you who are scared to use AI.
04:23
Speaker A
First off, get over it.
04:24
Speaker A
But beyond that, you often risk more by not adopting new technology.
04:30
Speaker A
Then by fearing the potential downside that a small percentage of people experience.
04:35
Speaker A
So some people are like, what about AI safety and all these different things?
04:40
Speaker A
Like I'm worried that AI is going to take my credit card and go spend it.
04:43
Speaker A
Of course, there's weird head, you know, edge cases where, you know, someone gave too many permissions to an agent and they didn't have enough guard rails installed.
04:48
Speaker A
But it's like saying I got hacked on the internet, so I should never use the internet again.
04:53
Speaker A
It's not good reasoning.
04:55
Speaker A
Right, and so why don't more people adopt AI?
05:00
Speaker A
Well, the reason is more like complacency.
05:02
Speaker A
Right, there's a short-term cost that you have to incur in order to learn a new thing.
05:07
Speaker A
Period.
05:08
Speaker A
So it's just like training an employee.
05:10
Speaker A
If you're thinking to yourself, well, I 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.
05:18
Speaker A
It's like, yeah, but as soon as you train them.
05:20
Speaker A
Then they can do the work forever.
05:22
Speaker A
Right.
05:23
Speaker A
It makes sense to do it.
05:24
Speaker A
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.
05:29
Speaker A
And I will I will repeat this tweet that I've said before, because I think it's so relevant right now.
05:34
Speaker A
It takes about 20 hours to become proficient in any new skill, but people delay the first hour decades.
05:40
Speaker A
And so I promise you, if you take a weekend and say, Saturday, Sunday, I'm going to sit in front of this computer.
05:46
Speaker A
I'm going to figure out how to do this.
05:48
Speaker A
I'm going to figure out how to get an agent to do something for me.
05:50
Speaker A
All right, if by the end of the weekend, you haven't completely built something, but you actually tore the, you know, you tore the wrapper off, you actually got your hands in it, your understanding of it will will increase more than any amount of articles that you can read that are fearmongering and baiting you in, right, that are just getting it for reviews and impressions.
05:59
Speaker A
Let's shift to like what this actually looks like within an organization, whether you're working at one or you're leading one or you own one.
06:04
Speaker A
Is that you have to stop thinking in role-based thinking.
06:08
Speaker A
And start thinking in workflow-based thinking.
06:11
Speaker A
So let's break this down tactically.
06:13
Speaker A
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.
06:21
Speaker A
Does with their hands and their eyes and like in their mouth, does stuff.
06:27
Speaker A
All right, and then ask whether each of those activities could live inside of a workflow instead instead of headcount.
06:33
Speaker A
And so the old thinking or the old paradigm is I need to hire an editor.
06:38
Speaker A
The new thinking or paradigm is what are these five things an editor actually does that creates a video?
06:46
Speaker A
And each one of those things should be a workflow.
06:49
Speaker A
So let me just give you a visual to kind of drive this home.
06:53
Speaker A
So let's say that you have an organization that looks like this.
06:57
Speaker A
Okay.
06:58
Speaker A
Very simple.
07:02
Speaker A
Each of these roles has tasks underneath of them, or at least they should, right?
07:07
Speaker A
Of course.
07:08
Speaker A
They should.
07:10
Speaker A
But all of these is to organize humans, not to organize the inputs and outputs.
07:19
Speaker A
Because in an organization, if we were to do something perfectly, we would have it much more like a manufacturing business.
07:24
Speaker A
Now, what does that mean?
07:25
Speaker A
Every business at its most basic level takes raw inputs, adds some special sauce, and then you get an output that's more valuable.
07:31
Speaker A
And so in a service business, it means you take raw talent, you add training and skills, or you put multiple of these skills together.
07:39
Speaker A
That when those skills taken in aggregate are worth more than any of the individuals on their own.
07:43
Speaker A
So if you've got somebody who knows how to write, somebody who's how to read, somebody who's how to record, somebody who's how to edit, put all that together, all of a sudden, you have an advertising agency.
07:50
Speaker A
And somebody else who can buy ads.
07:52
Speaker A
You have an advertising agency.
07:53
Speaker A
Right.
07:54
Speaker A
And so, but the thing is is that this is our organizational structure is to organize humans.
08:00
Speaker A
Is to organize communication between humans and hierarchy for decision making.
08:04
Speaker A
But if you had the same rules from the beginning of how everything should be created, then all of these little dashes that I have underneath of here, which are the tasks that someone does, should just be organized in a linear fashion that then create an output.
08:14
Speaker A
And so the key is not saying I'm going to I'm going to I'm going to automate away this person.
08:20
Speaker A
You just have to look at a one layer underneath of that and say, what are the 10 things this person does?
08:25
Speaker A
Let me see if I can just automate this one task and this next task.
08:28
Speaker A
And if you are that person, if you're not automating your own job, you are missing the boat here.
08:33
Speaker A
Like.
08:35
Speaker A
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.
08:43
Speaker A
And the sole thesis or mission of that business is to put his much larger business out of business.
08:49
Speaker A
And so if you're not thinking about that same level of like, okay, well, I'm going to take 20% of my time to try and put put myself out of a job.
08:57
Speaker A
Because the thing is is that if you don't adapt, you will eventually be out of a job.
09:00
Speaker A
The question is whether you're going to be the one who controls that automation.
09:04
Speaker A
Or somebody else will.
09:05
Speaker A
And so let me talk about what the future of business is going to look like, at least in the medium term.
09:10
Speaker A
The medium term is going to be BYOS.
09:13
Speaker A
So what does that mean?
09:14
Speaker A
It's going to be bring your own software or BYOA, bring your own agent.
09:19
Speaker A
Or agents.
09:20
Speaker A
And so when you approach a business, and this means that also there's going to be tremendous earning power.
09:26
Speaker A
Even at the employee level, which is, you know, shit on.
09:30
Speaker A
By the the gurus of the internet.
09:33
Speaker A
But if I can approach a business and say, I am your entire marketing department, and so famously, maybe we'll post it up here.
09:42
Speaker A
Anthropic has one person in their marketing department.
09:46
Speaker A
How is that possible?
09:48
Speaker A
Now, of course, they get tons of PR, there's other things that I think help them out.
09:52
Speaker A
But the big point here is that they've got one guy who's doing it.
09:56
Speaker A
Whether that's just marketing lingo or not, we can be sure that that one person is still doing a ton of stuff.
10:00
Speaker A
All right, and it's not really that that person's doing a ton of stuff.
10:04
Speaker A
They have automated and created agents that do a lot of that work for them.
10:09
Speaker A
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.
10:19
Speaker A
Now, can you do that as a contractor and start an agency around it?
10:22
Speaker A
For sure.
10:23
Speaker A
Can you do it because you want to embed within a company and get a slice of equity?
10:27
Speaker A
Sure.
10:28
Speaker A
Can you do it just because you want to get paid more cash?
10:30
Speaker A
All of these are things that are available to you.
10:33
Speaker A
But they have never been available until now.
10:36
Speaker A
Think about what businesses needs in terms of functions and outputs and just erase the titleism that exists in the private market.
10:42
Speaker A
Because I do not think it's going to survive.
10:45
Speaker A
And so if you are that employer or that entrepreneur and you're like, okay, well, I want to I want to do this stuff, right?
10:53
Speaker A
I want to I want to actually like use AI.
10:56
Speaker A
I want to have agents that do work for me.
11:00
Speaker A
Where people fall off is that they are not training AI the way they would train a new employee.
11:06
Speaker A
And so they they have they have the I was about to say employee.
11:10
Speaker A
They have the agent do something.
11:13
Speaker A
And then the output goes back.
11:15
Speaker A
And it sucks and they're like, oh, this will never work.
11:17
Speaker A
Again, I will remind you, this is the worst that it will ever be.
11:21
Speaker A
Number one.
11:23
Speaker A
Number two.
11:24
Speaker A
If you had a brand new employee, and then you said, do this task for me.
11:30
Speaker A
And then they give some back to you.
11:32
Speaker A
Would you immediately fire them?
11:34
Speaker A
Probably not.
11:36
Speaker A
You'd be like, oh, I just need to train you more.
11:38
Speaker A
And if you think, oh, well, uh, you know, AI can't do what humans can do.
11:44
Speaker A
I really want to break this.
11:47
Speaker A
I want to I want to destroy this for the people who don't get it.
11:51
Speaker A
And if you do get it, then maybe you need to send this to your employees or your team.
11:54
Speaker A
Because this is real.
11:56
Speaker A
Humans learn through reinforcement.
11:59
Speaker A
Meaning, you do a thing, you get an outcome, good or bad.
12:04
Speaker A
If it's good, you do more of it.
12:07
Speaker A
If it's bad, you do less of it.
12:09
Speaker A
That's how humans learn.
12:11
Speaker A
Period.
12:13
Speaker A
And so when someone says, ah, but you know, this person has such good taste.
12:20
Speaker A
It means that they recognize a pattern, they communicate that pattern.
12:26
Speaker A
And they were rewarded for for for doing that.
12:28
Speaker A
And so they do more and more of it.
12:30
Speaker A
And so they get better and better at recognizing patterns.
12:33
Speaker A
Guess what's really good at recognizing patterns, even better than humans?
12:38
Speaker A
Computers.
12:40
Speaker A
Right.
12:41
Speaker A
And so fundamentally, you train a computer the way you should train a human.
12:45
Speaker A
The reality is that most people don't train humans like they should train computers.
12:49
Speaker A
And as a result, they're bad at training.
12:52
Speaker A
But one of the things that if you've ever followed my channel at all, I'm a big believer in thinking through operations, thinking through observable behaviors.
13:00
Speaker A
Right, and so this is actually been an amazing translation for my skill set into training AI.
13:06
Speaker A
Because if you take all of the emotional words out of it, right, take all of the ephemeral.
13:13
Speaker A
Take all of the intangible out of all of your words, charisma, make it lighter, make like all of these words that people use.
13:21
Speaker A
And just say like, what do you want to have happen?
13:24
Speaker A
Which most people do not do because they do not define what good looks like.
13:28
Speaker A
If you can actually take the time to define what you actually want rather than expecting the other person to guess and somehow get it right, or how expect the agent to guess and get it right, which is really what we're doing.
13:37
Speaker A
Then all of a sudden, you will be able to be so much better.
13:40
Speaker A
As an AI trainer.
13:42
Speaker A
Which is fundamentally where you're going to be.
13:44
Speaker A
So that they can actually do the work that you want them to do and do it at a hundred times the speed with no complaints and at a hundredth of the cost.
13:51
Speaker A
Very hard.
13:52
Speaker A
And this is again, not to scare you.
13:56
Speaker A
But to prepare you for what is going to come.
14:00
Speaker A
And so if you're on Main Street right now, and your thinking, oh, like.
14:05
Speaker A
Every company is going to become a technology company.
14:10
Speaker A
You wouldn't think of yourself as a technology company today, but it's like, well, do you use social media?
14:16
Speaker A
Do you use the internet?
14:18
Speaker A
Do you use email?
14:19
Speaker A
Do you use phone?
14:20
Speaker A
These are all components of technology that you integrated into your business.
14:24
Speaker A
And I would consider this the last bastion of where humans play that role.
14:28
Speaker A
Now, obviously, GDP is in gross domestic product.
14:32
Speaker A
The amount that that companies have made per headcount has continued to go up.
14:36
Speaker A
If we look at the economy, what are the two factors that drive output?
14:40
Speaker A
It's education, aka skills and technology.
14:43
Speaker A
Right.
14:45
Speaker A
And so when you have infinite labor with infinite intelligence, there's going to be a big explosion in GDP.
14:52
Speaker A
Gross domestic product.
14:53
Speaker A
There's going to be more companies than ever before.
14:56
Speaker A
And I also think that when many roles are going to get automated away.
15:00
Speaker A
The amount of businesses that will bloom from this will be huge.
15:05
Speaker A
Um, but I will not say that like I know, and I don't think anyone does know.
15:10
Speaker A
But I like, what are the few things that I can bet on?
15:13
Speaker A
Right, I would like I believe in a barbell strategy for approaching the future.
15:17
Speaker A
So what does that mean?
15:19
Speaker A
On one extreme, this is the high high risk, high reward, this is I'm fully incorporating AI and all my stuff.
15:26
Speaker A
All my businesses are going to be AI first, AI native, AI forward.
15:32
Speaker A
I have to be willing to have the hard conversations with team to get them to level up, and if they don't, I have to be have to have to have the even hard conversation that we no longer need them because we've automated away the role.
15:40
Speaker A
I have to be willing to do that.
15:41
Speaker A
Because guess what, you might not be willing to do that.
15:45
Speaker A
But there's going to be a startup that just doesn't have to have that conversation.
15:49
Speaker A
That is going to already be automating those roles.
15:51
Speaker A
And they will beat you.
15:55
Speaker A
That's the high risk, high reward side.
15:58
Speaker A
On the other side, it's what are the few bets, and this is Jeff Bezos's frame.
16:04
Speaker A
Which is what are the few bets that I can make that I believe won't change?
16:09
Speaker A
What things will absolutely still exist?
16:11
Speaker A
I believe that humans will still have bodies.
16:14
Speaker A
At least in the near to medium term.
16:16
Speaker A
So I think health related things will absolutely exist.
16:21
Speaker A
So health care, fitness related stuff, all that stuff will still exist.
16:27
Speaker A
I think in a world where there's way more robots and way more work getting done for humans, what will humans have?
16:34
Speaker A
If we look at human history, we have more of one thing, which is leisure or downtime.
16:38
Speaker A
So what do we fill our leisure or downtime with?
16:41
Speaker A
Entertainment.
16:42
Speaker A
I believe entertainment is going to boom.
16:44
Speaker A
It's already big, it's gone it's continued to grow as a percentage of GDP, and I think it will explode.
16:49
Speaker A
Because I think people have more time on their hands.
16:52
Speaker A
And entertainment is typically very cheap.
16:54
Speaker A
And so if you want to like, you can make a full motion picture now.
16:58
Speaker A
And and there's this period of time where the prices have not adjusted to the to the cost basis associated.
17:05
Speaker A
And so you can make some viral social media videos and get a huge amount of PR for a movie that you made entirely with AI.
17:14
Speaker A
And make a hundred million dollars.
17:16
Speaker A
Two hundred million dollars.
17:17
Speaker A
And the beauty of that is that it's all margin.
17:21
Speaker A
And you can absolutely do that.
17:24
Speaker A
So why don't people do it?
17:25
Speaker A
Because people are afraid to take to take action.
17:28
Speaker A
But is that is that there?
17:29
Speaker A
Absolutely.
17:31
Speaker A
I'll also give you something that will make some people uncomfortable, that's just an absolute reality of business in general.
17:39
Speaker A
Is that if you actually really want to know what the bleeding edge of like what's going to happen with anything is in terms of tech, as it incorporates in business.
17:46
Speaker A
I know this is going to sound at least sound a little bit off off putting for some people.
17:51
Speaker A
Look at porn.
17:54
Speaker A
Whatever porn adopts first, eventually makes its way down.
17:58
Speaker A
So what have what have we already seen happen in the porn industry?
18:02
Speaker A
You've got AI avatar girls who are, you know, people are spinning up these AI avatars, they have an army of a hundred girls or guys.
18:12
Speaker A
I don't know.
18:13
Speaker A
Whatever your flavor is, right?
18:14
Speaker A
Or aliens.
18:15
Speaker A
I mean, again, whatever you want.
18:17
Speaker A
Um, where people, and I'm not saying good or bad.
18:20
Speaker A
I'm just saying pure economics.
18:21
Speaker A
Right.
18:23
Speaker A
Where they don't have to deal with the drama associated with it.
18:28
Speaker A
They don't have to film them.
18:29
Speaker A
They don't have to get them.
18:30
Speaker A
They just make videos, they render them, they send them out.
18:36
Speaker A
They have chats that is really just a chatbot that's going back and forth.
18:42
Speaker A
Someone that's been trained on 10,000 porn related conversations.
18:46
Speaker A
And people pay for them.
18:48
Speaker A
And so what I believe is going to happen in the future?
18:50
Speaker A
I believe that humans will need a place to live.
18:52
Speaker A
I believe they will need food to eat.
18:54
Speaker A
I believe that they will have things they need to do with their time for entertainment.
18:58
Speaker A
I believe those are industries that I would absolutely say like these things will not change.
19:00
Speaker A
Now, which one wins?
19:01
Speaker A
Who knows?
19:02
Speaker A
But those industries, I think will exist.
19:05
Speaker A
And then I'll give you my hell and a hand basket frame.
19:08
Speaker A
So what does that mean?
19:13
Speaker A
If there's a world where everything goes to shit.
19:17
Speaker A
Then it doesn't really matter.
19:20
Speaker A
Right, and so I have to walk myself back off of the the apocalyptic angle.
19:25
Speaker A
Of like, okay, well, if all of these things eventually, you know, disrupt and there's no and there's a permanent underclass and no one has any money.
19:33
Speaker A
Uh, and there's only a select few who actually leaned into technology to acquire all the wealth in the world.
19:39
Speaker A
Um, if that were to happen.
19:41
Speaker A
You know, it's all going to be anarchy.
19:43
Speaker A
Maybe.
19:44
Speaker A
I don't know.
19:45
Speaker A
But I just prefer to exist in a world where, you know, I I'm hoping for the best.
19:50
Speaker A
Preparing for the worst.
19:51
Speaker A
Um, but I am absolutely hoping for the best.
19:54
Speaker A
And I think in the hell and a hand basket world, none of it will matter.
19:57
Speaker A
Prepare for sunshine and rain.
20:00
Speaker A
Just be an all weather type of person.
20:02
Speaker A
And I think if you do that, you'll give yourself the best chance at succeeding.
20:06
Speaker A
Whatever the next season looks like.
20:09
Speaker A
And I'll give you a final kind of thought thought experiment that might be helpful for you.
20:14
Speaker A
So I read this on a Brian Johnson post from Blueprint.
20:18
Speaker A
If you've heard of him, he's the he's the longevity guy.
20:21
Speaker A
He said, what what people do not realize.
20:23
Speaker A
Is that they've been trained their entire lives to swim.
20:28
Speaker A
And you think that you can swim in all types of weather, and you get to become a better and better swimmer.
20:35
Speaker A
Right, and you know, you go from in in a pool or a lap pool to a lake.
20:40
Speaker A
To eventually you're your swimming off the coast.
20:44
Speaker A
To eventually you're free free ocean swimming.
20:47
Speaker A
Or from border country to the next border country.
20:49
Speaker A
Right.
20:50
Speaker A
So crazy levels.
20:52
Speaker A
He said, but the change that's about to happen is a phase shift.
20:55
Speaker A
Where you're swimming, but then all of a sudden the water boils, and now you're in gas.
21:02
Speaker A
Because the water all evaporated.
21:05
Speaker A
And you're flapping your arms, and it doesn't matter how good of a swimmer you are.
21:09
Speaker A
The fundamental physics of the environment will have changed.
21:14
Speaker A
And so that is the change that we're on the precipice of.
21:17
Speaker A
Now.
21:19
Speaker A
Hopefully this was not doom and gloom.
21:21
Speaker A
Because I I actually see this as a tremendous opportunity.
21:22
Speaker A
Because.
21:25
Speaker A
Humans are slow to adapt in general.
21:29
Speaker A
So what does that mean?
21:30
Speaker A
First off, if you're watching this, you're already probably ahead of most people anyways.
21:33
Speaker A
Because most people just exist.
21:35
Speaker A
They put their put their head in the dirt.
21:37
Speaker A
There's so many people over age 50 that are like, I'm told for this shit.
21:40
Speaker A
And guess what?
21:41
Speaker A
They got all the money.
21:43
Speaker A
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.
21:48
Speaker A
Which is not to them because they did not adapt.
21:50
Speaker A
So that's a big opportunity.
21:52
Speaker A
There's also huge opportunities, obviously, in going to regular businesses and automating portions of their work.
21:57
Speaker A
But when I said humans are slow to adapt, it also means their price sensitivities also slow to adapt.
22:02
Speaker A
Meaning if people are used to paying $2,000 a month for something.
22:07
Speaker A
That embedded in that price is the typical costs of labor, and so if you can still charge that $2,000 price for whatever it is, right?
22:15
Speaker A
And instead of costing you $500 a month, it costs you $50 a month or $5 a month.
22:20
Speaker A
The margin, number one, that you can earn is tremendous.
22:23
Speaker A
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 to create.
22:30
Speaker A
Goes down dramatically.
22:31
Speaker A
As in one person now can bring millions and millions in revenue in.
22:35
Speaker A
It becomes much easier to scale.
22:36
Speaker A
Because one of the biggest costs of scaling is just the coordination between humans.
22:42
Speaker A
And so what I would encourage you to do.
22:44
Speaker A
So you're like, okay, I heard all this stuff.
22:46
Speaker A
I feel motivated to do something.
22:48
Speaker A
What should I do?
22:49
Speaker A
This is what I motivate you to do.
22:51
Speaker A
Write down a list of what you do, do every day.
22:55
Speaker A
And I'm saying at the most granular level.
22:57
Speaker A
You respond to emails.
22:58
Speaker A
You respond to Slack messages.
23:00
Speaker A
Maybe you make content.
23:01
Speaker A
Maybe you you make ads.
23:02
Speaker A
You run ads.
23:03
Speaker A
There's you have to separate these out into individual tasks.
23:06
Speaker A
Like what's the task?
23:08
Speaker A
Right, don't think don't think chunked up.
23:10
Speaker A
Don't think I make, you know, I run ads.
23:12
Speaker A
It's like, yeah, there's a lot of stuff underneath of that.
23:13
Speaker A
Right, you make campaigns, you set budgets, you analyze results, you make the creative, you write copy.
23:18
Speaker A
You you uh, you test different landing pages, you test different headlines on the pages.
23:23
Speaker A
There's lots of things that are underneath of that.
23:25
Speaker A
Bucketed term of like, I run ads.
23:27
Speaker A
Right.
23:29
Speaker A
Take all of the tasks, and then look at those tasks.
23:33
Speaker A
And take the first one and put it into AI.
23:36
Speaker A
And say, help me automate this.
23:38
Speaker A
What steps would you take?
23:40
Speaker A
It'll give you a list.
23:41
Speaker A
And then take the first thing on the list and do it.
23:44
Speaker A
And if you get stuck, here's a little pro tip.
23:47
Speaker A
Screenshot your screen and put it in and say, what do I do now?
23:51
Speaker A
And it'll tell you.
23:52
Speaker A
And then screenshot the next year.
23:54
Speaker A
And say, what do I do now?
23:55
Speaker A
And it'll tell you.
23:57
Speaker A
Like everyone now, here's the here's just the craziest thing of all.
24:00
Speaker A
Is everyone has an AI tutor at their fingertips.
24:04
Speaker A
That you're just not using.
24:06
Speaker A
So with that, this is the type of stuff that we uh that we were obviously actively working on inside of our ACQ Vantage community.
24:10
Speaker A
So if you are a million dollar plus business owner, we're talking about the stuff that we're doing right now every day inside of uh ACQ.
24:17
Speaker A
Um, and obviously we have an AI product that we've been training for years now.
24:20
Speaker A
Uh, we also have like AI salesmen that we've been training.
24:23
Speaker A
We've got a lot of stuff that we've been doing and keeping more or less behind, you know, behind closed doors.
24:27
Speaker A
If you will.
24:28
Speaker A
Capitalizing on opportunity.
24:29
Speaker A
If you will.
24:30
Speaker A
Uh, but you can go check that out.
24:32
Speaker A
I'll have a link below the thing.
24:33
Speaker A
Maybe it's on the screen.
24:35
Speaker A
Whatever.
24:36
Speaker A
Um, but with that, uh, peace and blessings be upon you and your bloodline.
24:41
Speaker A
Uh, and I wish you the absolute best, and I hope you're in the permanent upper class, uh, and not permanent underclass in the world that comes.
Topics:AI 2026Alex HormoziAI adoptionbusiness automationworkflow optimizationfuture of workAI first businessjob automationadaptabilitytechnology disruption

Frequently Asked Questions

Why does Alex Hormozi say learning AI is so important?

He emphasizes that AI is rapidly improving and will transform all businesses, making it critical to learn AI skills to remain competitive and avoid being left behind.

What organizational changes does the video suggest for AI integration?

The video advises shifting from role-based thinking to workflow-based thinking, breaking down tasks into workflows that can be automated or optimized with AI.

How should businesses handle employees whose roles are automated by AI?

Hormozi recommends raising the performance bar and retaining only those who can meet new standards, encouraging adaptability rather than simply reassigning roles.

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