The Easiest Way to Make Money with Artificial Intelligence in 2025

[00:01] video without lying to you. Making money and being lazy in the same sentence would have been a literal lie. But as you may have seen, thanks to some things ordinary person has the same leverage that

[00:15] multi-million dollar companies can have or had. And by this I mean nothing other than artificial intelligence. Now, if you think you can start using Yemini, Cloud, and Chat GPT and become an expert, it would be the same as if I gave you

[00:28] the best rifle in the world and thought that would make you a great professional shooter. Or if by sitting in a Formula 1 car I expected you to be a good driver and not end up crashing into one of the

[00:41] circuit walls. And look, to be totally honest with you, I have to tell you that having the best tools doesn't automatically make you the best at using them. And the reality is that if you don't know how to take advantage of them, you won't make

[00:55] millions of people using artificial intelligence, and I hope you do n't want to be one of them. And in this video I'm going to show you the best ways to use it, although some of them don't require much effort, but don't

[01:08] misunderstand me. Being lazy can be a great competitive advantage if you know how to use it. And this is because you're basically going to invest less effort and you're not actually going to be lazy, but rather more

[01:21] get today: the laziest ways to make money with AI, whether you want to earn €1,000, €3,000 or more than €5,000 with it. That doesn't matter because I'll teach you the first steps and

[01:34] the right way to do it. That said , I know you've probably fantasized about making money while you sleep, about having that financial freedom you so desire, and believe me, I know that in recent years you've been

[01:46] bombarded with many of these promises, such as meta ads, dropshipping, and Amazon FBA. And this list goes on and on and on until it never ends. And I also want to highlight something. You may have tried to do

[02:01] some of these things and failed. And what I want to convey to you is that this is not your fault. I'll say it again, it's not your fault. The problem chasing models that weren't designed for the professional stage

[02:14] you were at. And what this means is that, just like if you start running, technically there isn't a wrong model, there is a model that fits your stage, the moment you are in. Just as there

[02:27] is a certain pace if you start running and it's the first time you've done it , there is a certain weight if you go to the gym and start lifting weights. And it simply depends on where you are on your journey. And

[02:39] this is also what often happens with the gurus you find on the internet, who recommend something, but don't know exactly where you are at. Even if I don't mean to , they're

[02:51] recommending something that you can't take advantage of simply because you don't have the tools or you're not in the right place at the right time. And most importantly , many of those models require things you don't have yet. Think about it,

[03:04] with dropshipping you need money to test with ads and maybe you don't yet have the money to find that product that really sells and gives you a profit. With Amazon FBA you'll need a fair amount of money for stock, and I

[03:16] had not just one, but several e-commerce businesses, some of them as famous as Rax Mafia's store or the project that Willy Rex Stacks and Lolito sold, which is Ergonomics, the e-commerce site for gaming accessories and for

[03:30] professional players. And I have to admit that e-commerce in particular can be especially tough, especially if you don't have the if you have enough resources to stock up and can hold out for a while without

[03:43] selling, as is currently my case , it's a very good business, but if you don't have this, it's another obstacle you'll have to position to do so because you do n't actually have the

[03:57] necessary resources. So there you are, probably watching for years as success is generated and flourishes on the internet, and these opportunities are slipping through your fingers. And this didn't happen because you weren't smart enough,

[04:10] but simply because many of these opportunities required things you didn't have at that time. But the question right now is, what if there was something that did n't require anything from you to start and you could generate money simply by

[04:24] using your motivation and your desire to learn? And you see, the best investors in the world and professional investors, of whom I know a few, usually focus on one thing and that is the return on

[04:36] investment. Having a great return on investment can be a lazy technique. Because? Because what you're looking for is to get the maximum return on your investment while making the least possible effort. That's why I use this term "

[04:49] lazy," because there is a way to use that laziness, let's say, in a profitable way. And if we're talking about this laziness, I assure you it's a common denominator in most of the successful people I know. I think

[05:04] we call it optimization, but deep down we're too lazy to do it the traditional way, so we look for alternatives that are much more profitable for us, not only in terms of money, but in terms of time, which

[05:16] always comes before money. And when I talk about being lazy, I'm obviously not talking about sitting there on the couch, but basically about leveraging things that can do ten times better for you. And as you can imagine,

[05:29] artificial intelligence is one of them, because it puts things within your reach that were previously only possible for people like me who can have teams of 10, 20, even 50 people. And in these last 12 years as an entrepreneur I have

[05:41] hired, I suppose I am already at the hundred people over these years. And I can assure you that if I had had that advantage that is currently available to the average person, years ago I would have grown

[05:54] orders of magnitude more, that is, much more, exponentially. That's what I'm trying to make you understand. And this isn't about getting rich quick or getting rich easily; it's more about there being a way to get rich faster and

[06:08] easier. Here we're basically talking about probabilities. Because? Because the world of entrepreneurship is extremely uncertain, and neither I nor anyone else—and if someone does, they're lying to you—can guarantee your success. What I can

[06:22] do is pass on knowledge or tools that improve the chances of that success. And that's why the smartest people in the world are lazy. That's why investors seek the maximum return with

[06:36] the minimum possible effort, and that's why they end up leveraging themselves and obtaining exponential returns. And I want to make one thing clear, I want you to get rid of that fear of making money in this lazy way. And the truth is, I find

[06:51] motivational stuff that's been going on in recent years quite funny. If having that discipline and not using connections and being smart by using laziness to your advantage really worked, nurses, laborers, ordinary people

[07:06] people who probably work much harder than you and I, but they don't get rich. And this is precisely because you can try as hard as you want, but if you're digging a hole with a spoon and I'm

[07:21] doing it with an excavator, being much lazier and putting in less effort, I'll do it before you. And as you can probably imagine, artificial intelligence is that digital excavator that helps you extract much more value per

[07:34] hour than you could by working hard and getting up at 2 in the morning if you want, when I can afford to get up at 9 like a normal person and get much more output than you. But I really

[07:48] a fundamental change in all of this and you're going to be able to take advantage of it. In fact, it's as simple as signing up for the event my technology consultancy RXLS is holding on October 5th, 7th, and 9th, which is signing up for the event my technology consultancy RXLS is holding on October 5th, 7th, and 9th, which is

[08:03] artificial intelligence, because there you'll learn directly from the cases of a lot of students about how they achieved the result. Basically, they are masterclasses from ordinary people , not us, but

[08:15] ordinary people, about how they made money with artificial intelligence. And if you'd like to learn from their cases and visit them, all you have to do is sign up using the link in this video's description

[08:27] . Getting back to the topic, this is what I'm not going to do today. I'm not going to tell you tell you to quit your job to dedicate yourself to this. And believe it or not, I'm not here to sell you anything today, because if that's what you're looking for, you can turn off this video right now

[08:40] . I couldn't care less. My interest is that you at least learn from the opportunity that exists, because if you truly become aware of the oasis and the blue ocean that we have before us, you will know how to follow

[08:54] the path on your own. Now let's talk about that great opportunity that is being presented to you. What is the paradigm shift we are experiencing? You may have known something about this, but you thought it wasn't for you. I'm not very

[09:06] technical, I don't know if I'll understand this, but you know what's curious? You're using artificial intelligence every day without realizing it, and others are profiting from your

[09:19] behavior. What do you think is behind Alexa when you ask her for your favorite song? Artificial intelligence. What do you think is behind Google Maps when it gives you the best route to drive to

[09:33] your destination? Artificial intelligence. And if you think about it , in recent years artificial intelligence has become part of your routine without you even most people still haven't understood. If you're already using artificial intelligence without

[09:46] realizing it, why not learn and use that artificial intelligence to make you money? instead of you being the cash cow of large corporations that make money off you using artificial intelligence. And this is so far-fetched

[09:58] that Openia's own CEO said that in the coming years, between 2026 and 2028, we will see the first unicorn, that is, a company with a valuation of 1 billion created by a single person. I mean, I don't know if you're

[10:14] aware of how difficult it is to create a company, but imagine a and a valuation of 1 billion. If they say this, it's because they're billion. If they say this, it's because they're obviously not just predicting; they know that

[10:27] the productivity and the things you can do with this technology are so good and so broad that even a leverage to achieve a valuation of 1 billion. And the best part

[10:40] is that ordinary people who are already understanding this are already seeing their first results. And the key is to understand that AI is not an end in itself. AI is a vehicle, and that vehicle can take you, by

[10:53] leveraging other things you know, to earn a lot of money. I want this to be understood. It doesn't mean that AI itself makes you money, but rather that you use AI to enhance things you didn't know could

[11:07] make you money thanks to AI. That 's when AI literally behaves simply as a vehicle. Because if you combine artificial intelligence with a good business model, I can assure you that you will earn a lot of money

[11:21] in such an automated way that sometimes you will find it hard to believe that you alone can Because the reality is that you're not offering it alone; in a way, you have hundreds of workers who are like graphics cards running in parallel,

[11:36] using their computing power to generate that artificial intelligence and give you the value that you will then provide in the market. Now that exists, what you could do, the

[11:48] leverage you can obtain simply by gaining knowledge about how to use this artificial intelligence. Here I refer to a artificial intelligence. Here I refer to a phrase from the great Warren Buffett:

[12:00] rowing harder is simply knowing what boat you're getting on. And the information, the only thing you should think about is what that skill is, what that knowledge is, what that thing is that you are going to put on the vehicle. Imagine it

[12:15] graphically, right? They're suitcases, it's something valuable, something you're bringing, and what you're going to do is put it in that vehicle, in the trunk of that vehicle, imagine it, like a car that's artificial intelligence, and you're going to take

[12:27] advantage of it to transport that value much faster. And now, based on a quote from Charlie Munger, Warren Buffett's partner, we're going to apply a small framework to identify good opportunities. Charlie once said,

[12:40] "Tell me where I'm going to die so I don't go there." So now I ask you, what would be the worst business model for someone who is starting out? Basically, one that requires very high entry and start-up costs, that

[12:54] needs investment, that needs a lot of equipment to run, and on top of all that, that is not scalable and has very limited profits due to a low margin. So congratulations. Now you know exactly what kind of business you should

[13:07] make one thing clear: I'm not like those gurus who only succeeded with one model and try to convince you that it 's the best. I have done many things throughout these years. I was a visionary and a pioneer in many things. I invested in

[13:21] crypto very early on and I'm still doing it. I invested in e-commerce with It's true that they may not be my main businesses, but I'm still invested in them. I also envisioned the whole wave that was happening with technology

[13:35] and I set up a technology consulting firm and I'm in its offices. And if there's one thing I'm going to be, it's totally honest in evaluating different business models, as I've been doing for many years, in fact, in a completely

[13:47] altruistic way. on the internet, because there's a good chance you've been following me for how I've always been honest about the evaluations of these different models, the things that become fashionable, the ones that are really

[14:00] impact all niches and then end up being much more guaranteed because I have no interest in convincing you that there is do and that will work, precisely because I myself have done

[14:14] several and depending on the person this can vary a lot. So what I'm going fundamental points so that you too can evaluate a good business model. And it is based primarily on three points: risk,

[14:28] scalability, and profit. I'm going to explain scalability with a very simple example. On the one hand, you have a bakery that, the more customers it has, the more it has to serve, right? And he has to buy more, he has to do

[14:41] a lot of things, right? Because when you have more customers, you proportionally have to scale your operations. But imagine someone who simply sells recipes on how to make the best bread. It doesn't matter if

[14:54] 1000. All they have to do is distribute that recipe, and they don't have to proportionally increase their structure. Because? Because this is a much more scalable business than the bakery itself. On the other hand, there is

[15:07] the risk. This is something beginners do very badly because, of course, they don't know how to assess the risk. If you start with something that has very high initial costs, etc., what you may not realize

[15:20] is that you are incurring a higher risk than you should. less risky things that allow you to test many more times until you find something you can then scale and invest more

[15:34] resources in, because you've already validated it, you have the lowest risk, if you do it this way you'll do well, but for some reason, people at the beginning often think or are persuaded that there is one thing that is the best and

[15:46] then they want to go all in on it. And then, finally, there's the benefit. There are businesses, such as dropshipping itself, where the margin is very low, which is not a bad thing. In fact, when you consolidate your position,

[15:58] dropshipping and distribution in general has always been a very good business for people who have a lot of capital. Because? Because with a lot of capital, what you do is take advantage of those small differences and withstand

[16:12] market fluctuations precisely because you have a lot of capital to withstand them. However, to withstand it, what will happen is that in those market downturns, the people who will be taken out are people like you. And the large dropshipping accounts will be

[16:27] able to withstand it. Because? Because when the market cleans up consolidate. In fact, we're now going to go into detail about each model. For example, dropshipping, which we were talking about. Scalability is moderate.

[16:42] scale with ads, and you have to spend a lot of money on these ads to and products that actually work . Furthermore, given the risk—which we'll discuss later, and which is very high—the winning product, right? In

[16:57] quotes, it quickly goes out of fashion or other competitors can copy it, and constantly entering the market. With AI it is also much easier to copy, therefore its usefulness decreases. Speaking of low things, the profit from

[17:10] dropshipping is quite low. Some people show revenue on Shopify of, for example, 3 million a month, but what they don't tell you is that this revenue is different from profit. Perhaps they haven't invested the

[17:23] 2.5 million in ads they need to make 3 million, therefore, the real profit would only be 500,000 and on top of that I'm not counting the cost of the product and other things such as returns,

[17:36] sales commissions, etc. As a result, they lose money, but they demonstrate success on their networks. Amazon FBA is another matter entirely; it has common problems. It shares many of the same problems as dropshipping itself: high competition,

[17:50] dependence on products that can become saturated, many risks with reduced margins and hidden costs, storage, logistics, returns. Scalability, although it is true that Amazon FA is more stable than

[18:02] dropshipping, has certain limits when it comes to growth. For example, the platform itself, which you don't control, requires a large investment for inventory and to be able to scale. which also generates a certain financial risk. Scaling up quickly

[18:16] can be difficult because you depend on of suspension, etc. And apart from the seasonality of some products, you can't be selling them constantly. The business profile

[18:32] is not a good model in terms of cash flow because there is a lot of money tied up in inventory and net profits are diluted between fixed and variable expenses. On the other hand, there would be the software, which we would

[18:45] consider to have extremely high scalability. Once developed, the marginal distribution costs are almost zero. The same product can be sold to thousands or millions of customers without requiring physical production or inventory. Escalar

[18:59] focuses more on marketing, support, and continuous improvement of the product itself. The risk is high, mainly due to the initial competition, there are also many software niches and they can always release a

[19:16] similar version of yours for free that ends up sinking your business. Take this software that became very famous, which made thumbnails for YouTube, but CH GPT released a similar function and the software sank. And there is also always

[19:29] the software sank. And there is also always the risk that there will be no product on the market. The benefits are quite high because if you manage to fit into the market, the profit margins are enormous. Potential for

[19:43] recurring revenue, SAS, licenses, subscriptions, fairly high resale value , successful software becomes a strategic asset for large companies and you can make a great exit. Business profile. It's not usually a

[19:57] . Patience is required during the user development and acquisition phase . The benefits usually come in its maturity stage. Now let's see what the ideal model would be. It would have to be a highly

[20:12] scalable model, with a fairly low risk and very good margins, with a large profit. And I personally believe that an AI agency, and specifically a very well-niche AI ​​agency, is the best business model. Because?

[20:26] Because a generic AI agency will attract clients of different types and in my opinion the focus can become diluted, but an AI agency highly niched in a specific type of client is unparalleled . Think about it, you sell a system to

[20:40] one type of business and you can sell the same system multiple times. By having a narrow focus, you will specialize quickly. You don't need to program because with No Code tools like Make or N8N you can do absolutely

[20:56] everything. Not too long ago, just a few years ago, automation could take months and required a powerful development team, which was obviously not an AI agency, if you have the magic formula, you have that template that

[21:11] you can then insert into a lot of clients, the scalability is practically infinite, and the costs are truly zero, or close to zero. In other words, the cost of N8N, Char GPT subscriptions and four other things you might need is

[21:25] absolutely ridiculous. And do you remember the bakery example? When you have an AI agency, it's like having another business, the one with the magic formula that you can distribute to a lot of people and you don't

[21:38] have any costs for it. And here I can tell you about such spectacular people as Cristina Peris, who created software to prepare for nursing exams. She was a nurse, from a completely different field, and

[21:51] she did something spectacular because she even asked Chat GPT about the programming things she didn't know how to do, using everything she learned from us, and ended up creating software that has helped dozens of

[22:03] nursing exams. Another case would be that of Raúl Aguilar, someone who had a job. Furthermore, I empathize a lot with Raúl Aguilar because I was also a warehouse worker. Raúl Aguilar's job was to be a warehouse worker and he simply

[22:18] internal tasks and when the bosses discovered this they asked him to do more things. Today he earns almost double what he earned back company's management. In other words, look at the leap it made in just a few

[22:32] vehicle which is artificial intelligence to provide all the value that was available there and that perhaps the people I want to highlight one thing: these two people didn't know how to program and weren't

[22:47] technicians, and before learning about artificial intelligence tools, they they could provide so much value without being technicians. Another very important point: they had no clients, nor did they have large social networks or mechanisms through which they

[23:02] could distribute. Basically, they focused on the small circle of people they already trusted and started adding value from there. It is cases they are expanding and reaching many unknown people, but

[23:15] the trick is to start small. And just like you, they didn't know what to offer at first, but they used this framework that I'm revealing to you, which is to take something you already control, enhance it with

[23:28] artificial intelligence, and that's where the magic happens. And think about it, each person is a true universe in themselves. I don't know who will be watching this people who see it, but each of those people has a specific context

[23:43] that, if that context simply finds the right vehicle, can provide much more value than it is providing now, because perhaps slow, it is inefficient, like, hey, well, I've put what I do on social media

[23:57] , but of course, that vehicle may not be the one you need or it is for a longer term than what you need right now . And one of the great things about artificial intelligence is that these types of systems practically sell

[24:10] offering businesses primarily the opportunity to save time and money. And businesses and has worked with many of them for years can tell you that these two things are what any type of entrepreneur will always want. This whole

[24:26] AI revolution threatens, for example, to even destroy the middle class because all low-value tasks are being replaced by automation. The question here is which side of the game you want to be on

[24:38] which side of the game you want to be on . And look at these two facts. . And look at these two facts. 44% of companies replaced workers with AI in 2024. But the consulting firm Price Waterhouse Cooper

[24:51] the consulting firm Price Waterhouse Cooper says that 30% of jobs will be automated by 2030. So much so that the CEO of Shopify announced that his company, which has a valuation of almost 200 billion, will not hire anyone

[25:07] before proving that an AI cannot do that job. AI is already smarter than 90% of people, and this is being proven by a test designed by Alan Turin in 1950, which in fact bears his name, the Turin test. And

[25:21] now I know what you're thinking. Carlos, but how can I create an AI agency if I do n't have a clue about AI? Well, now I'm going to give you a complete, step-by- step roadmap of what you should do, even if you have no idea about

[25:35] artificial intelligence, to create your own AI agency . Let's look at the four most in-demand systems. First, we need to know what to sell, and these are the systems that are in highest demand. One, a quick response system to leads, because an

[25:50] immediate response to new leads increases conversion and many businesses, contrary to what you might imagine, take a very long time to respond to their prospects. Second, a booking system via WhatsApp/Sms,

[26:05] naturally with artificial intelligence. What do you offer here? 24/7 appointments for any type of business. Who wouldn't want that? What customer wouldn't want to be able to contact your business 24/7 and get a response? Sorry, to your business, right?

[26:20] But to the site where you want to buy a service. Third, social media bots , DMs on Instagram and Facebook, and thanks to this they have automated attention and conversion. Four AI receptionist, real-time calls

[26:35] AI receptionist, real-time calls , support and bookings also 24/7. And the thing is, we can sell each of these automations to businesses for thousands of euros for a very simple reason: because they save them many thousands or even 10 thousand

[26:48] sell. Now let's move on to the next important point: how to get customers. Now we know what our vehicle is, what to sell, and to whom. We need to know how to sell it, that is , how we will get customers who will

[27:05] pay us thousands of euros for each automation. The first strategy to attract customers is to use cold email. Cold emailing is the best method for beginners, and with a single email campaign you can talk to

[27:19] hundreds of businesses a day. And with AI you can also automatically write and respond to these emails. Strategy number two is to go to events and strategy number three is to use B2B marketplaces, that is, I know

[27:34] where to sell to other companies. Now, another very important point is to identify the right target. To find the right client, I recommend one thing: don't target advanced digital brands, but rather laggard local businesses

[27:50] like clinics, restaurants, cleaning services, and even all kinds of contractors, because these businesses see simple AI solutions as if they were pure magic. A quick process for finding clients

[28:05] is as simple as reaching out to everyone you can and letting them know that you specialize in automation, even if you have to give them your work for free at first. However, he

[28:19] always asks in return that they let you tell their story so that you tell you that I can't go into all the details as I'd like in this video, but I will at the event we

[28:31] but I will at the event we have on October 5th, 7th and 9th at Raxlabs, at this Rax Sprint. And as you've seen, I've told you straight what . And what I can confirm is that if you attend this event, you'll

[28:45] have even more context and more step-by-step details so you can continue climbing, learning, and of course, not missing out on this great opportunity. So, you know, you have the link below and we'll see you in the

[29:00] the link below and we'll see you in the next video.