AI Money-Making with Digital Goods — Step-by-Step Guide & Transcript

[00:02] new post about artificial intelligence, a new tool, a new model from you, "If you're not using artificial intelligence right now, you're already behind." If I'm being honest with myself, this feeling has probably been

[00:15] building for a long time. And such anxiety, you know, about the fact that everyone around has already figured everything out, except you. I understand this feeling; I've been through it myself , despite the fact that I started using neural networks even before GPT was released and

[00:28] today I still use them very actively in business, with real financial returns. But that's exactly why I made this video. Today I will show you the easiest way to profit, financially profit, from this IIB boom. And I'll

[00:42] explain which industries should be avoided altogether and why, and I'll also tell you about a on the surface. But this is where biggest advantage. So without water, only the most direct and clear path

[00:57] that I can show you. So let's move straight to the video. What I get stuck in one of two extremes. Or they use artificial intelligence for basic things, such as asking GPT to write an email, retell

[01:11] the article, and that's it. Or they delve into very complex technical applications, creating custom models, training neural networks, and writing code for tools. But this applies to 1% of people, yes, and not to everyone

[01:24] else, and certainly not to beginners. And on the one hand it’s too other hand it’s too complicated for those who don’t have a technical base. But the real money is made somewhere in the middle. And that's where the golden mean lies, where

[01:39] artificial intelligence becomes a real money-making machine for the seen hundreds of people using hundreds of different ways to make money on neural networks. Maybe you have already studied some of this and tried to understand it. But here's the basic principle you

[01:54] need to understand about all of these approaches. Everyone who promotes something advertises the model that worked for them personally. There's nothing wrong with that, but what worked for one person isn't necessarily the right

[02:06] starting point for you. And any of these models can work. That's not the question . The question is which one is right for you with the time, money, and experience you have right now. And before I

[02:19] tell you which markets to avoid and which ones work, I want to mention something. In this video I will give you the basic concepts, the logic behind C making money. But if you want to go deeper, if you want me to show you step by step with a screen demonstration

[02:33] how it works in practice, what tools I use, then you can go to my website below the video and get my strategy. So, here is the main make when trying to make money online with and - it is not a business, yes, it is an

[02:47] engine. You don't make money because artificial intelligence exists. artificial intelligence into the right industry. The formula here is simple, actually. Artificial intelligence plus the right industry equals the easiest

[03:03] way to make money. And this brings us to the most important part of this video. Before we discuss which markets are best for making money with to understand which ones should be avoided. And when I say which industries are suitable

[03:16] for beginners and which are not, I speak from real experience and without any emotional attachment to a single model. That is, during my career in online launches, I have tested a lot of different models of earnings.

[03:28] But the goal here is not to say that some models are good and others are bad, but to determine which ones best suit your reality as a beginner. And when I evaluate the market for beginners, I look

[03:40] at two simple criteria. What problems does artificial intelligence solve here and well AI can handle the whole algae thing if it still takes tens of thousands of dollars to get into it. For example, it is not a

[03:55] viable business for beginners, just as it is not a business that can be started without investment, but which requires knowledge accumulated over years. You ca n't just enter it. And it won't help here. So, let's take a look at the most popular

[04:09] industries that people are looking to enter with the help of artificial intelligence. The first is physical goods, their sale. There are marketplaces, dropshipping, Amazon, everything where you sell physical goods online. And artificial intelligence will

[04:23] indeed make the industry more accessible. You can generate product descriptions in seconds, write converting advertising text, create images without a photographer, and analyze trends to find winning products. One person

[04:36] with the right tools can do it alone. But what does alone. But what does you find a reliable supplier. Secondly, in the product sector, for example, you

[04:49] need to deliver the goods to customers, and artificial intelligence won’t help with that either . In dropshipping, although the supplier does this for you, whether they will do supplier does this for you, whether they will do it quickly, cheaply, and on time is also something that

[05:01] artificial intelligence cannot determine. And the honest conclusion is that artificial intelligence has made this industry easier, but it hasn't eliminated all of its potential problems. The second industry is investments, which includes real estate, the stock market, crypto, and

[05:16] everything where money itself is a commodity. Artificial intelligence is applied here like this. It analyzes market trends, identifies undervalued properties or stocks, and generates daily investment reports. Some

[05:29] use trading bots that automatically execute trades according to proven algorithms. And there is definitely an advantage in terms of analysis and speed . But it doesn’t solve the main problem . You still need capital and,

[05:43] of course, you bear all the risks. Artificial intelligence can help you find a good opportunity, yes, but it's useless if you don't have the money, for example, to implement it. And as for trading, yes, it sounds

[05:55] attractive, but according to financial regulators around the world, 90% of retail traders lose money. And trading is not a strategy, but rather managing emotions under pressure, such as fear, greed, and the desire to win back losses. Can

[06:10] artificial intelligence control your emotions? No. Most people greatly underestimate the psychological cruelty of this industry in general. And that's not counting the risk, which is one of the highest in any field. The third industry is

[06:24] software development. There's a lot of buzz around it right now, with wipe coding and development. And the tools are truly impressive, as you can now go impressive, as you can now go from an idea to a working prototype in days

[06:36] instead of months. Artificial intelligence writes code, designs the interface, configures the database, and helps with debugging. And the leverage here is enormous. artificial intelligence has had the greatest impact on product creation. But here's the

[06:50] problem. Building a product is about 10% of the software development game . Artificial intelligence helps with exactly these intelligence helps with exactly these 10%, the remaining 90%. It's not that

[07:04] really help much here. Most of these IT companies operate with very low margins at the start. Many have been operating at a loss for years, and this is done intentionally. Yes, the strategy is this: get as many subscribers as possible, even if

[07:17] attracting one costs more than he pays. For example, you spend $50 to acquire a customer who pays you $20 a month for a subscription, expecting them to stay for 12, or 24 months. This means you

[07:31] burn money for months before breaking even with just one client. This requires investment. This is not a game for those who are just starting out and have no capital at all [clears throat] industry is services. Freelance, consulting, agency. Anywhere

[07:46] you provide services to clients or businesses. Right here. And, perhaps, the biggest change was in the rules for beginners. Previously, to offer a service, you first had to develop a real skill, learn

[07:59] programming, spend months mastering video editing, and get your hand in graphic intelligence has the power to do much of this for you. You can create

[08:11] edit videos, write advertising copy, create content for social media, design logos, and conduct data analysis in minutes. The barrier to entry to quality service has never been lower. You don't need to be

[08:25] some big expert anymore. It is enough to be able to work with the right tools. But there is one thing that artificial intelligence still doesn't solve in this industry, and that is personal relationships in business, attracting and

[08:38] retaining clients. Artificial intelligence won't bring you clients on its own . Getting clients is an art in itself. When it comes to customer retention, it's even more challenging. And let's draw some interim

[08:51] conclusions. Physical goods. AI solves online problems, yes, there is a store, photos, advertising creatives, but it does not solve offline problems. These include suppliers, logistics, delivery, product quality, investments, and can automate your

[09:05] strategy and even trade for you, but it doesn't eliminate the need for capital or the psychological component of your decisions. software development and made product creation accessible to everyone, but it doesn't help with what makes up 90% of

[09:20] this game, which is business development. Services. Artificial intelligence makes it possible to provide services that previously required years of training, but it does not solve the problem of attracting and retaining clients. And now, pay

[09:33] attention to one thing on this list - risk. With the exception of services, all other industries have something in common. They work like a slot machine, where you have to constantly throw coins in, risking losing everything with each new

[09:46] attempt. With physical goods, you spend money on development, delivery, logistics, and production costs. In investments, you spend real money in a market environment that you do not control. In software development, there are

[09:59] constant payments for services, and, of course, working at a loss, especially at first. And the problem with all this is that at some point the shadows run out for most people, yes, and these are not some endless budgets,

[10:12] savings, time, resources, yes, and you are forced to quit. Not because the model doesn't work, they are all working models, but because you couldn't afford to play long enough to figure out the model. This is the

[10:26] figure out the model. This is the reason why 90% of businesses fail. Artificial intelligence does not fix these problems. It does not remove the inherent risk of these businesses. Now that you know what not to do,

[10:39] let's reverse engineer what you should do. So we need an industry where AI actually solves all of these problems, leaving you with only the advantage. Based on all of the above. We need

[10:53] something that doesn't require physical goods, a warehouse, delivery, doesn't require risking large amounts of capital at the start, doesn't require working at a loss in anticipation of future profitability, doesn't tie income to time, and doesn't require

[11:10] previous experience. So, [clears throat] we need something digdiit without cost and delivery, free or almost free to create. There is exactly one industry that fits all of these criteria perfectly. It's

[11:23] literally right there on the surface, but most people don't notice it, even though they've probably stumbled upon it many times. This market is currently valued at $250 billion. It is predicted to surpass the music, film, entertainment, and

[11:38] retail industries, reaching the level of the sports industry, with annual sales of around $500 billion by industry, with annual sales of around $500 billion by 2027. And this industry is called digital goods or digдиitл goods. And the best thing about it is that you don’t need to invest any

[11:52] budget into it. Accordingly, even if you decide to leave this area, you have nothing to lose and nothing to risk. That is, the risk here is very low. This is a digdiit format. You don't need to spend a penny on the creation or delivery of such a special product

[12:04] . You can create as many of these digital products as you want, practically for free. So, what is a digital product? It is essentially downloadable digital content. This includes PDFs, manuals, templates, checklists, video courses,

[12:19] e-books, and more. Essentially, anything that solves a specific problem for a specific audience, getting them from point A to point B. You create it once, and it can be sold an unlimited number of

[12:32] times. No warehouse, no delivery, no storage. The buyer presses a button, the product is delivered instantly and completely digitally, and you get paid for it. And will 10 people or 10,000 people buy it there? The costs

[12:45] for you are practically zero. I started talking about such digital products many years ago, but back then, creating them was, of course, much more difficult. But something has changed. Artificial intelligence changed everything . Thanks to

[12:57] artificial intelligence, this industry is now the only one that meets all four criteria of our evaluation system. The barrier to entry is the lowest of all models. No inventory, capital, employees or even

[13:11] skills are required. You don't need to be an expert in any particular topic. Artificial intelligence is trained on virtually the entire body of human knowledge available online and can research, structure, and create a

[13:24] finished product for you. You don't even need a laptop, just a phone and the Internet. And it's also now very easy to buy ready-made digital products with resale rights. That is, they don’t even have to be created from scratch.

[13:36] Scalability is infinite. You create a product once, but 10 or 10,000 people can buy it. person, with practically no additional costs, the same product continues to bring you money without

[13:49] any additional work. The return here is the greatest relative to the effort invested. Artificial intelligence takes on 90% of the work here, from finding the right topic to researching content and creating the product itself. And since there are

[14:04] almost no costs, practically every dollar earned is [clears throat] pure profit. Risk. The risk here is as close to zero as possible. This is what fundamentally distinguishes this model from everything else. If the product doesn't

[14:18] sell, you haven't lost a fortune, you haven't burned through your advertising budget, you don't have inventory, you haven't wasted months of your life on something that didn't work, you just take the next product with the same zero

[14:32] costs and launch again. This is done very quickly. Therefore, even such a resource as time is not spent very much here. You essentially can change your entire financial situation. People are making

[14:46] serious money by creating products in the most unexpected niches and promoting their products through organic content on social media, without even showing their you might be wondering how you can make money from this at all, and

[15:01] who buys digital products? But the guys I had previously worked with to launch dropshipping stores were the first ones I tested my strategy with, and they showed very impressive results on digital

[15:14] products, after which I began openly recruiting people for this strategy. But what real problem for a real audience. And artificial intelligence can also determine this for you. The system consists of three steps. Step one.

[15:28] Find a profitable opportunity. Most people make a hand error. choosing a topic based on what they like, what fascinates them. And the market doesn't care what you're interested in. The market cares about only one thing. Does

[15:41] intelligence can answer this question in a few seconds. It scans what people are already buying, identifies niches with high demand and low supply, and indicates where to target. And here the key is in the specifics, not in the

[15:55] breadth of the niche. Not recipes, but how to get rid of bloating. 100 recipes. Not a productivity product, but how to reduce screen time for self-employed professionals. The deeper you go, the less competition there is and the more desperate your

[16:10] audience is to find exactly what you offer. Step two. Let artificial intelligence create a product for you or take a ready-made digital product with resale rights. In my strategy, I provide more than 100 such

[16:24] freely modify using artificial intelligence, including reselling. unlimited number of times. Step three. Announce your digital product. All these videos are created by people using artificial

[16:38] intelligence and they demonstrate their digital product in videos, receiving organic traffic. And interested people will follow the link in your profile and buy this product. By the way, it's worth mentioning that creating a website and

[16:51] organizing the reception of digital goods is much simpler than dropshipping with physical goods. There is no need for a whole store here, just one page is enough. And regardless of your country of residence,

[17:04] you can organize payment acceptance. This market is exploding and most people still don't even know how to get started. This means that the space is wide open. There are niches with huge demand and virtually zero

[17:17] competition, but this will not always be the case. Remember what happened with each other possibility. Marketplaces were initially a gold mine for those who arrived first. Now you're competing with thousands of sellers on razor-thin

[17:31] margins. And right now, digital products are in that very window for pioneers. That is, the tools are there, there is demand, but supply has not yet had time to catch up. It is in this gap between supply and

[17:45] demand that money exists. The question is whether you will be among those who entered early, or among those who watched from the sidelines. This is how I see and feel current trends. Write what ideas you have. Do you still remember my old videos

[17:57] about digital products? I came to you with them quite early, when there was no suitable infrastructure for this yet, but now we are here, when it is still early and the infrastructure is there. This was Marina Mezers with you , and I wish you great sales.

[18:11] , and I wish you great sales. Bye bye.