Como Ganar Dinero con IA | Ganar dinero con inteligencia artificial | Chatgpt

[00:03] using artificial intelligence to create wealth on a scale never seen before. There is a real modern gold rush happening right now . Whether it's employees doubling their income, people launching apps

[00:18] that make money while they sleep, or companies valued in the trillions literally building AI-powered laser cannons. Someone somewhere is making a lot of money, and why aren't you?

[00:34] a lot of money, and why aren't you? artificial intelligence is making people rich at all levels. Because, my friend, the world is moving faster than ever, and believe me, you don't want to be left

[00:48] behind. So watch the video until the end because we'll show you what you can do to make money with AI and what the real business is, along with the billionaire giants behind this industry. If you didn't know, without them

[01:04] industry. If you didn't know, without them OpenAI and Chat GPT wouldn't exist. Let's begin. [Music]

[01:18] this question in the comments. I want to know what you think. What do you think will be worth more in the future? A university degree or knowing how to use AI well? Unless you've been living under a rock for the past 3 years, you've probably already noticed

[01:34] that artificial intelligence has transformed almost every aspect of our lives. TRUE? But what's been happening beneath the surface is that they're also making a lot of people

[01:47] incredibly rich. To give you an idea of ​​how deep this gold rush is, think about this. Have you noticed how each new AI tool

[01:59] uses domains ending in .i instead of the typical .com or instead of the typical .com or .net? Well, it turns out that the .dot domain belongs to Eagle, a small island in the Caribbean that has made millions

[02:13] selling domain names to all the startups that are surfing this new wave. Pretty lucky, aren't they? It's literally a gold rush. So to give you a complete picture of how all this is happening, we're going to go

[02:30] level by level, from average workers to the companies that are building the backbone of tomorrow's economy. Let's start from the very beginning, because not everyone who is generating

[02:43] wealth with AI is creating startups or training models. Some people are simply doing their job, but much better than before. The

[02:55] competitive advantage of AI. Being good at your job is no longer enough. The guide has completely changed the starting point because the person sitting next to you isn't working harder,

[03:09] they're working smarter and five times faster. And the most surprising thing is that this is barely the bare minimum. Think about it carefully. An employee at a marketing agency used to have to spend hours thinking of

[03:24] ideas for ads, preparing presentations, or writing dozens of emails that seemed to never end. Now Chat GPT can do all that in a quality. This is what AI unlocks for the

[03:39] average person. A productivity that once seemed impossible, but here's the uncomfortable truth. For the vast majority of people, this is not a path to wealth. It's just what you have to do to stay relevant.

[03:55] Because if you keep doing the same work at the same pace as last year, you're already falling behind. However, those who use AI to do much more than the basics are the ones who have a real competitive advantage

[04:10] . Today anyone can make money using artificial intelligence, even if you know nothing about technology. As? Very simply, you can use AI tools that help you do your job much faster. For

[04:25] example, if you have a job, you can write emails faster, make presentations in minutes, and even prepare reports without so much effort. That makes you more valuable at your job. Perhaps you'll get a raise or

[04:39] a better job. If you don't have a permanent job, you can also earn money by offering services such as creating videos, writing texts, or doing designs. With AI you can complete what used to take hours in just minutes, allowing you to

[04:56] take hours in just minutes, allowing you to serve more customers and earn more. Another way is to sell digital products. You can create books, templates, or courses using AI and sell them online without having to do everything from scratch. The

[05:12] good thing is that you can sell the same thing to many people without working more. You can also make videos for TikTok, YouTube, or Instagram, and AI helps you write scripts, edit videos, and even add subtitles.

[05:26] This way you grow faster and can earn money from views or by selling products. And if you want something more professional, you can use websites that create websites or applications without knowing how to program. You just say what you want and the AI ​​puts it together for

[05:41] You just say what you want and the AI ​​puts it together for you. Then you can offer it as a service or create your own business. If you enjoy teaching or have specialized knowledge, we recommend a training course where you will learn to create

[05:53] digital books with AI tools in an easy and simple way. Click on the link in the description or first pinned comment. AI is like a superpower. It helps you work faster, do more things without so much

[06:10] effort, and that means more money for you. You don't need to be a genius, you just need to start understanding it. But do you want to know where the million-dollar business is? Keep watching. Now let's change the subject from people

[06:27] using AI tools to people creating AI tools. Because as the old saying goes, during a gold rush, don't look for gold, sell the shovels. For a long time, the only way to make money in the

[06:42] tech world was to raise a large investment, hire a team of software engineers, and spend months, even years, building a product from scratch. But today people are doing something called live coding with

[06:57] doing something called live coding with tools like cursor, winsf, or lovable. Just press record, start talking, and you can literally build any application you can think of without writing a single

[07:11] independent developer can create a tool that takes your YouTube video, transcribes it, cuts it into short clips, and automatically adds subtitles, emojis, and animations. A personal trainer

[07:26] could create an app that follows their own training and nutrition system. Or a financial advisor could build a tool that gives users a wealth score based on their income, savings, lifestyle, and

[07:40] income, savings, lifestyle, and habits. They don't need investors, they don't need a team, they don't even need to know how to program. All you have to do is identify a problem, put together a solution, and launch it on the market. The best part

[07:55] is that they are not complex businesses; they are specific-purpose tools that solve concrete problems with ridiculous efficiency. They run themselves and people are getting incredibly rich with them, without

[08:09] hiring a single employee. Times are really changing. The next level we're going to talk about goes beyond live coding. Here, you don't just use AI to create your application, but AI becomes the core of

[08:25] AI becomes the core of your entire product. For example, startups like Rewind are creating memory tools that record and organize everything you've seen, said, or heard on your computer and then allow you

[08:39] to search it like you would on Google. But for your brain, companies like Ronway are reinventing video production, allowing creators to generate complex visual effects and additions with simple text commands. And

[08:53] again, live coding tools like Cursor, Winserf, or Lovable allow you to create applications in a matter of seconds. In these cases, AI is not just a tool with which the product was built, it is the product. These

[09:09] companies are training their own models, collecting unique data, and building the foundation that other businesses will soon depend on. That means they are setting the rules for how we will work, create, and

[09:24] interact in the future. These are the seeds of the next generation of tech giants, and that's why investors are flocking in. So far we have talked about those who use AI, those who create products with

[09:38] AI, and those who build products that are AI. But what if we go one step further are AI. But what if we go one step further ? And if instead of selling the shovels, you sell the machines that make the shovels, well, that's what the next level is all about:

[09:54] not just building products that use AI, but creating the AI ​​that makes everything else but creating the AI ​​that makes everything else possible. Think of Google, for example; they're creating Gemini and integrating it into absolutely everything. Documents,

[10:10] spreadsheets, Gmail, the search engine. They are turning their entire product line into a smart assistant. Antropic is developing Cloud, a model focused

[10:23] on being more secure, more aligned, and with impressive performance in mathematics impressive performance in mathematics and programming. And of course, OpenAI, who started this whole revolution with Chat GPT. For 99% of people, what they

[10:38] understand as AI is simply someone using one of these someone using one of these basic models. The Gemini, Cloud, and Chat GPT of the world are not solving small problems like editing videos or providing

[10:51] customer service. They are operating on a completely different scale. They build infrastructure, optimize hardware, combine models, and close multi-million dollar licensing agreements. They are creating general-purpose intelligence

[11:05] upon which everyone else is building. If you think of the entire AI economy as a city, these companies are the electricity. No matter what type of building you construct, at the end of the day you still have to

[11:21] pay the electricity bill. That's why money is flowing into this sector like never before, because whoever controls the base model controls the entire ecosystem. So far we have talked about

[11:34] tools, startups and models. And you'd think we'd reached the top of the pyramid, but there's another layer to the AI ​​economy that most people don't even consider. The companies that are

[11:47] behind the companies. These are the companies that are really making the most money from this AI gold rush. Think about it, someone has to provide the computing power, operate the factories, and design the chips that

[12:01] turn all these ideas into reality. Behind this scene are three main companies, without which the artificial intelligence revolution would literally not exist . And believe me, they're lining their pockets, so let's break them down

[12:18] . First we have ASML. a Dutch company with an absolute monopoly on the most advanced machine in the world. Each of these machines costs more than $200 million,

[12:33] takes years to manufacture, and depends on a global network of 5,000 suppliers to operate. It's called an extreme ultraviolet lithography system.

[12:45] Basically, a giant laser that etches billions of transistors onto chips, which are only a few atoms wide. And these chips are what make artificial intelligence possible . And here's the key fact.

[13:00] ASML is the only company in the world that knows how to manufacture these laser machines, therefore, they can charge absurd amounts of money. Simply put, absurd amounts of money. Simply put, without ASML there are no chips, without chips there is nothing.

[13:16] Then there is the Taiwan Semiconductor Manufacturing Company, better known as TSMC. They are the world's most advanced chip manufacturers and are in fact ASML's largest customer. But they didn't

[13:32] invent the chips. Their specialty is mass-producing them for giants like mass-producing them for giants like Nvidia, Apple, Amazon, and Google—for all the heavyweights of technology— and nobody does it better than them.

[13:47] Whenever a company needs the most powerful chip in the world, it turns to TSMC. In this gold rush, ASML manufactures the machinery, TSMC operates the mine, and it is the

[14:00] technology sector. In 2024 alone, TSMC generated over $35 billion in profit because there is no plan B. If TSMC stops,

[14:15] end up with the company you probably already know: Envy. They started by manufacturing graphics cards for gamers, but inside those chips there was something even more valuable: the

[14:28] ability to process huge amounts of data in parallel. It turns out that this is exactly what companies like OpenAI need to train their models.

[14:40] Today, Nvidia basically owns the computational layer of AI. Their chips, like the famous H1, are the backbone of entertainment in

[14:52] backbone of entertainment in modern artificial intelligence models. Chat GPT runs on Nvidia, Google on Nvidia, Meta on Nvidia, Elon Musk's new Grock on more than 200,000 Nvidia chips in a single

[15:08] run. Nvidia's market capitalization recently exceeded $3 trillion. Not because of video games, but because everyone needs their chips to be part of the future. So to summarize, ASML

[15:25] controls the light that etches the chips, TSMC controls the factories that mass-produce them, and Envi controls the power that runs the whole system. These companies are not just

[15:39] part of the infrastructure, they are the infrastructure. In the AI ​​gold rush , everyone is looking for gold, but those who are really making the money aren't digging, or even selling shovels. They are building the

[15:54] ground on which everyone digs. While everyone competes on the surface, these three companies collect their share regardless of who wins. It's amazing how fast things are changing

[16:07] We hope this video has given you a clear perspective on the new artificial intelligence economy and where it's all headed very soon. Remember, if you want to improve your mindset and live a

[16:22] healthier and more prosperous life, subscribe to our channel if you're new and answer this last question. Should the use of artificial intelligence be regulated or allowed to grow without limits? I'll read your comments.