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Последние 5 лет, чтобы стать богатым — Transcript

by Михаил Тимочко · 5,313 words · 783 segments · language en · Watch on YouTube

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0:00For almost all of human history, it was
0:02like this: born poor, you die poor. And
0:05only in the last 30 years did an
0:06ordinary person get a chance to learn
0:08something, go sell it, then build a
0:10business around it, and make something
0:12of themselves without money,
0:14connections, or wealthy parents. And
0:16that window of opportunity is closing.
0:18I think we have about 5 years left, and
0:20then neural networks will shut that
0:22door for good. And if you don't manage
0:24to break out by then, you'll most
0:26likely stay exactly where you are
0:27forever. I realize this might sound
0:30like clickbait or a horror story, but
0:31here is what pushed me to make this
0:33video. I recently fired my designer—a
0:36great one, with good taste, who I’d
0:38worked with for a long time and enjoyed
0:40working with. And I didn’t fire her
0:42because she did a bad job, but because
0:44she simply had no work left to do. All
0:46the design work she used to do is now
0:48handled by the Claude AI, and it’s
0:50much faster and cheaper. This hit home
0:53for me because, well, first, I started
0:55out as a web designer myself, and
0:57second, if even an experienced person
0:59with good taste can be replaced now,
1:01what about the beginners just starting
1:03their path in this field? After all, I
1:07climbed that very ladder myself, and
1:09now I see its bottom rungs being sawed
1:12off. In this video, we will take a
1:14closer look at what is happening with
1:15these neural networks and what to do in
1:17the next 5 years so you don't get left
1:18behind. And at the end of the video,
1:21I’ll tell you what I would do today
1:23if I were 17 and starting from scratch.
1:25Part one. The ladder to success. Anyway
1:27, here is the story. I was an ordinary
1:29schoolboy in Dniprodzerzhynsk and had
1:30no idea what to do with my life. The
1:32options were clear. We had a factory in
1:34town, and most of the population worked
1:36there. There was a university with some
1:39basic professions where people would
1:40work for a salary of like 200–300
1:42dollars a month. And if you didn't want
1:44to go to university, there was the army
1:45. And I didn't really like any of those
1:47three options. So, while I was still in
1:48school, I just started learning web
1:50design before classes. I just sat there
1:52, practiced using YouTube, watched some
1:54videos, and downloaded and took various
1:56courses. And in about a few months, I
1:59had already learned how to create
2:00simple one-page websites on platforms
2:02like Tilda or Flexbe. Yeah, it wasn't a
2:05super high level, but I was at least
2:07capable of the basics. And as soon as I
2:08finished school, a week later I was
2:10sitting on a bus, heading to Moscow,
2:12and arrived there. And these skills
2:14that I acquired, well, in just a few
2:16months, were already enough for me to
2:17be able to sell something and earn some
2:19money. I went to meetings with
2:21entrepreneurs, they had various
2:23businesses. I told them all: "Listen,
2:25you need clients, I know how to make
2:26websites and run ads, let me do that
2:28for you." I started selling for cheap
2:30at first, like 15-20,000 rubles. Then I
2:32increased the price, reaching 100,000
2:33rubles. per project, and started
2:35building a team. And this allowed me to
2:38stay in Moscow, rent an apartment, buy
2:40food, just survive basically, and
2:42establish a starting point for my life.
2:45It literally saved my life. So, 2
2:48months of easy training built a bridge
2:50for me between a bleak, somewhat scary
2:52existence in Dniprodzerzhynsk and a
2:54life in Moscow, with earnings and
2:56freedom. I thought: "Wow, that's cool."
2:59And I started sharing this with other
3:00people. I created my own web design
3:02school and named the course "Lock,
3:03Stock and Two Smoking Barrels". Well, I
3:05started teaching people how to do that
3:06same web design, essentially repeating
3:08my path. 15,000 people took this course
3:10. Ordinary people came to it, even
3:12girls, even 15-16-year-olds in tenth
3:14grade, they came, quickly figured out
3:16how to make websites, went to sell them
3:19, and earned their first 50-100,000
3:21rubles. and then continued their path
3:23in freelancing. For many, it was simply
3:24a ticket to a better life. And it
3:26really worked. But what about now?
3:28Let's recall my designer now, whom I
3:31laid off. He is better than 99.9, or
3:34perhaps even 100%of those course
3:36graduates, because they were beginners
3:38taking their first steps in design, and
3:40he is an experienced designer who has
3:43been working for many years, but even
3:45he is effectively out of work now. And
3:48what awaits beginners then? They have
3:49absolutely no chance. And the path that
3:52once worked for me, and later worked
3:54for 15,000 other people who bought my
3:56products, has simply stopped working.
4:01Nowadays, such sites cost pennies, and
4:02anyone can just dictate a voice note
4:04like: "Listen, I have a barbershop, I
4:06want a website in this style, here are
4:0810 photos of my clients, go ahead and
4:10put it together, upload it to Tilda."
4:13And it will do it, and it doesn't need
4:14an intermediary like Misha Timochko,
4:16who would also charge 30,000 rubles for
4:18it. It was a ladder that worked. You
4:20master a skill in a few months, make
4:22your first money with your own hands,
4:24then sell it and scale up even further.
4:26And that is how thousands of people
4:28from my generation rose up. Various SMM
4:30specialists, marketers, web designers,
4:32programmers. They would learn something
4:34, quickly figure it out, implement it,
4:36sell it, and then some even became
4:38millionaires. And all these ladders are
4:40now ceasing to work, and their bottom
4:41rungs are being sawed off. If you still
4:43don't understand what I'm talking about
4:44, let's look at this in more detail
4:46with examples. Let's take a designer,
4:47for starters. In the past, you’d take
4:49a course for a couple of months, build
4:51a portfolio, and could already take
4:53your first orders, like making banners
4:55or covers. Now, banners and covers are
4:57made through a neural network just like
4:59that, with ease. It costs pennies. And
5:01for you to get hired now, you need to
5:03be able to do much more. Have taste,
5:06know how to do branding, help
5:07businesses attract customers, and
5:09develop a corporate style that is a
5:11level above the neural networks, which
5:12already do it better than beginners
5:14anyway. In short, it’s not a couple
5:17of months; it’s at least a year, and
5:18that’s only if you’re talented. So,
5:20in the past you needed a couple of
5:21months, now you need at least a year. A
5:23copywriter. In the past, you’d take
5:25one course, practice for a couple of
5:27months, and you’re already writing
5:28very good newsletters for businesses.
5:30You can make money from it. Now, any
5:33neural network like ChatGPT, with
5:35properly set prompts and good
5:38references, writes better than 90%of
5:41all beginner copywriters. And to write
5:44better than ChatGPT, you need, well, at
5:47least a year of experience. Maybe more;
5:50you might need 2 years of experience in
5:52copywriting just to outpace a neural
5:54network that cranks out these posts one
5:56per second. Video editor, translator,
5:59ad specialist, assistant, programmer.
6:01Everyone has the same story right now.
6:03The simplest part of the work in all
6:05these professions is now going to
6:06neural networks, leaving only the
6:08high-end work for the very best. These
6:10aren't just my feelings. Researchers
6:11looked at Upwork, the largest freelance
6:13marketplace in the world. And in the 8
6:16months after ChatGPT was released,
6:18orders for text dropped by 21%, and
6:20orders for images by 17%. And that was
6:22just in the beginning. Much more time
6:24has passed since that moment. I think
6:27now any sane person sends a request for
6:29text or image generation directly to
6:31ChatGPT, not to some freelance exchange
6:33. I mean, honestly, I don't know. You
6:35would have to be really out of touch
6:36right now. I mean, really, to place an
6:38order on an exchange to create an image
6:40or write a text. 99%of people will go
6:42to ChatGPT with this, you have to agree
6:44, and I think you would too.
6:46Furthermore, the company Anthropic,
6:48which makes Claude—my favorite Claude
6:50—calculated how their users are
6:52actually using them. And they found
6:54that in 49%of professions, Claude is
6:56already doing a quarter of the tasks,
6:58while the figures just a year ago were
7:00an order of magnitude lower. That is,
7:02in a year it won't be doing a quarter
7:04of the tasks, but half of them. In 3
7:06years, it will be doing 60%of the tasks
7:08. In 5 years, it will be doing about 78
7:11%of all tasks. In short, it will all
7:13lead to it doing 80%of the tasks for 80
7:16%of all businesses. Something like that
7:17. And that's just Claude, not to
7:19mention that there are a bunch of other
7:21great neural networks besides it. And
7:23here is another unpleasant figure.
7:25Stanford looked at salary data for
7:27millions of people in the US and found
7:30that in fields where AI could be
7:32implemented at all, there is 20%less
7:35work. Well, that’s also
7:36understandable. Wherever AI is
7:38implemented in any way, the amount of
7:39work immediately decreases. At the same
7:41time, experienced people in those same
7:43professions show no drop-off. Do you
7:44understand what is happening? People
7:46who are already working are left alone;
7:48they are just not hiring new ones. And
7:50it's the same thing in Russia right now
7:51. According to HeadHunter, there are 19
7:54resumes for one entry-level vacancy,
7:56while for one vacancy for an
7:57experienced person, there are only 2.5.
8:00So competition at the bottom is eight
8:02times higher. And the problem isn't
8:04even that people are competing too hard
8:06with each other. The point is that they
8:08are competing with AI, which is very
8:10difficult to beat. And here is the most
8:13unpleasant thought in this video: in a
8:15few years, even a designer with 3 years
8:18of experience may become uncompetitive.
8:21An editor, programmer, copywriter, SMM
8:23manager, marketer, or accountant with 3
8:25years of experience may become
8:27uncompetitive. Only people with
8:29experience in their profession of 5, 7,
8:3110 years or more will remain. That is,
8:34the elite, the very best specialists—
8:36only they will have work, and the
8:38minimum bar will rise every year. In
8:40simple terms, it's like an escalator
8:42that used to stand still, but now it's
8:43moving down. And before, you could just
8:45be, just stand in place, and nothing
8:47would happen to you. But now, even if
8:50you are moving uphill at a good pace,
8:52you are still being dragged down. And
8:54let's ask an honest question right away
8:55. Pause this video and answer yourself
8:57honestly. Can what you are doing now,
9:01what you sell to other people, be done
9:03by AI at least halfway, or even at
9:05least 20-30%? If it can already do it
9:0920-30%right now, you understand what
9:12that means. Well, if there is less work
9:15for people, then where does all that
9:16money that was supposed to be paid to
9:18them go? And this, I think, is the most
9:21important question in the video,
9:22because they don't just disappear; they
9:24get redistributed, and certainly not in
9:26our favor. Look, any job exists because
9:29there is a task that needs to be solved
9:31. You need to answer calls, the
9:32business hires an administrator. You
9:34need sales, it hires a sales manager.
9:36You need a beautiful website, it hires
9:38a designer. You need to edit a video,
9:40it hires an editor. Now imagine that
9:43the tasks haven't gone anywhere, but
9:44now they are being solved using neural
9:46networks. And if before you needed five
9:49people to cover five tasks, now one
9:51person with a neural network is enough.
9:54So where do the savings go? Let me give
9:56you a hint: look at what is happening
9:58now with the biggest companies in the
9:59world. Take, for example, Salesforce—
10:01it’s an American CRM system, very
10:04popular, practically all businesses
10:06operate on it there. A multi-billion
10:07dollar company. It had a support staff
10:09of 9,000 people. They cut it down to
10:125,000, and shifted the rest to neural
10:14networks. I think there will eventually
10:16be 500 people in support at most.
10:18Furthermore, the head of Shopify sent
10:19out a letter to everyone that before
10:21hiring a new employee, prove that this
10:23task cannot be done with AI. Duolingo
10:25declared itself an AI-first company and
10:27stopped hiring contractors for work
10:29that can be done via neural networks.
10:31And the head of Amazon wrote a letter
10:33directly to all employees that there
10:35will soon be layoffs because of AI;
10:36these aren't startups with starry eyes,
10:38these are companies that count every
10:40dollar. So where do the savings go? To
10:43whom are they being redistributed? And
10:45let me explain with an example. If
10:46there were a million designers before
10:48and each of them received, say, $ 1,000
10:50, then a billion dollars a month was
10:52divided among a million people, a
10:54little bit for everyone. Now, roughly
10:56the same amount of money remains, but
10:58it's being divided differently. 80%of
11:00it is now taken by the neural network
11:02through which the design is being done.
11:05Another 15%goes to the top, most
11:08experienced designer specialists with
11:1010+ years of experience. They still
11:13have work, but for the rest of the
11:15million designers, only 5%remains. That
11:17is, from an even distribution of money,
11:20the bulk has gone to some main neural
11:22network that solves this task the best.
11:25A little more goes to just good
11:27designers, and scraps—leftovers—go
11:29to everyone else. And the figures here
11:30are, of course, conditional, but the
11:32trend is exactly that. And the same
11:33thing is happening with programmers,
11:35copywriters, and editors. This is
11:37exactly the stratification of society
11:38that I mentioned at the beginning. If
11:41before money was divided evenly among a
11:42large number of people, now it will
11:44settle among a small group of the most
11:46advanced. And let's look at how this
11:48will affect the lives of two types of
11:50people. The first type is a business
11:52owner. Well, for example, me. Is this
11:54whole thing happening good for me, or
11:56bad? Honestly, it's great for me,
11:58because I save on staff and increase
12:00productivity. Essentially, I can now do
12:03much more with much lower costs. I can
12:06earn much more. And for me, as a
12:08business owner, all of this is very
12:10profitable. It all plays right into my
12:12hands. Before, I had to pay 200,000
12:14rubles for presentations. per month.
12:16Now I get them practically for free,
12:18for a $ 100 subscription that includes
12:20many other tasks as well. If, for
12:22example, each direct manager for my
12:24Instagram used to receive a salary of
12:2740,000 rubles. , and there were
12:29sometimes 4-5 people, then now Claude,
12:31with that same $ 100 subscription, can
12:32sit and reply. I mean, that's at least
12:35just on these two tasks. That is a
12:36saving of around 400-500,000 rubles.
12:39per month. Of course, it is profitable
12:40for me. And it’s not just me, but
12:42everyone who owns something. Their own
12:45company, business, real estate, a
12:47restaurant chain, a dental clinic, or
12:49some service agency. All these people
12:52save on production and staff, become
12:54more efficient in the process, and, in
12:56fact, even richer. They are already
12:57wealthy as it is. And then these
13:00wealthy people buy shares of Claude,
13:02GPT, and other neural networks, and
13:03earn income from there too. And well,
13:06the whole system effectively closes
13:08itself off. But the second type is a
13:09person who has nothing yet, and for
13:11them, everything is the exact opposite.
13:13Remember how I started? For hundreds of
13:15years, there was a wall between the
13:16rich and the poor. Then came the free
13:18market, the internet, and social media.
13:20They punched a hole through it, through
13:23which I and many people of my age
13:25climbed out. And now this hole is
13:27closing up. And the wall itself is
13:28becoming much higher. Because if before
13:31it was enough to study for a couple of
13:33months and you could go sell something
13:35and make money, now you need to be very
13:36good to get a foothold. You need to
13:39study for years and practice a lot,
13:41because the entire lower layer of
13:43simple work is already being done by
13:45neural networks. And this bar will rise
13:47every single year. In 2024, a neural
13:50network edited better than a person who
13:52had been learning to edit for a week.
13:55In 2025, better than a person who had
13:57been editing for a month. Now in 2026,
14:00it edits better than an editor with
14:02about 3-4 months of experience. In a
14:04year, it will be better than an editor
14:06with a year of experience. Then better
14:07than an editor with 3 years of
14:09experience. Then better than an editor
14:10with 5 years of experience. I mean,
14:12better than 99%of people in that niche.
14:14The rich will get even richer. And
14:17those who end up on the other side of
14:19the wall will stay there, because it
14:20will be very hard to climb over it. And
14:24yes, of course, I'm exaggerating a bit;
14:26the wall won't rise in a year, and
14:27maybe not even in five, and possibly in
14:29five years there will still be some
14:31jobs you can learn and sell your skills
14:32in. But overall, the trend is clear,
14:36and I think it's obvious to everyone
14:37around, and you notice in your own life
14:39, that everything is heading exactly in
14:41this direction. And right now, most
14:43people are doing one of two things.
14:45Either they say: "Well, this doesn't
14:46concern me, I'm not a programmer." And
14:48they do nothing. Or they run around in
14:49a panic like a chicken with its head
14:51cut off, and essentially, they don't do
14:52anything either. None of that works.
14:54This is what works. Previously, a few
14:56months of training were enough to give
14:57you a profession. Now you need to
14:59invest more time. You will need to
15:01study for a year, maybe even two. Yes,
15:03it's unpleasant, but it's the truth.
15:04And the good news here is that everyone
15:07else won't be doing this. And while
15:10everyone is arguing in the comments
15:11about whether it will replace us or not
15:13, what it can and can't do, you will be
15:14able to reach a point where you will be
15:16truly very difficult to replace. Next.
15:19What exactly do you need to learn
15:20during these years so you aren't
15:21replaced? Look, here is how I divide it
15:23. There are "button skills" and "
15:24decision skills." Button skills are
15:26things like making a banner, writing a
15:28text, or editing a video using a
15:29template. AI is already taking these
15:31over. And decision skills are about
15:33understanding what to sell to whom,
15:35negotiating, organizing people,
15:36building a strategy, understanding what
15:38will work well here and what won't,
15:40initiating a new direction, and
15:42following it through to a result. And
15:44ultimately, taking responsibility for
15:46the result and the money. AI definitely
15:48won't be taking over this work anytime
15:50soon. And second, learn to manage AI
15:53the way you manage a team. Not like
15:56asking a chat for instructions and then
15:58going to do it yourself, but by setting
16:00a task, giving it instructions on how
16:03to do it correctly, ensuring it
16:05completes the task from start to finish
16:07, and then thinking about how to make
16:09it perform that task without you every
16:11single time, consistently, without
16:13extra effort. And remember, I asked you
16:16what percentage of your current work AI
16:19can already do. And here is your second
16:21task. Sit down and list which tasks
16:24within your job are "button skills."
16:27Well, meaning where you are actually
16:29doing some mindless manual work that,
16:31in essence, could already be handed off
16:32. And, well, where is your work, you
16:36know, truly human? Where are you
16:39applying your skills and decisions that
16:41AI won't be able to handle anytime soon
16:43? And focus your efforts on developing
16:45exactly that second part. Learn to
16:47delegate everything else, and in short,
16:49learning takes longer now, but the spot
16:51at the top is more valuable because far
16:54fewer people will make it there. Okay,
16:56so where is the good news here, and why
16:59do I say that you still have 5 years
17:01after all? The fact is that we are
17:03currently living in a very strange
17:05period. On one hand, AI is already
17:08strong enough to handle really complex
17:10tasks, create applications, edit videos
17:13, make top-tier designs, develop
17:15products, and build teams of AI agents;
17:17it can already do all that now.
17:20Everything. You can watch various
17:22YouTube videos showing what people do
17:23with Claude, GPT, and different games.
17:25In short, it is already very
17:27intelligent. But on the other hand, all
17:29of this is distributed very unevenly
17:31across the world. I recently received a
17:34document at a government office. An
17:36elderly lady was slowly typing up a
17:38page and a half in Word by hand, taking
17:41about 2 hours. And she also made a lot
17:44of grammatical errors, added extra
17:45periods, extra spaces, and skipped some
17:47words here and there. We sat there
17:49reading it, checking it, and then
17:51rewriting it. It took us 2 hours for a
17:53page-and-a-half document. And the
17:55people in line behind me were giving me
17:57unfriendly looks the whole time because
17:58they were waiting for their turn. At
18:01that moment, I thought that, well,
18:02firstly, it would be cool to at least
18:04figure out the internet. Secondly, if
18:06there had been a Claude in place of
18:07that lady, we would have finished in,
18:09like, 30 seconds. And there are plenty
18:11of such places where, for some
18:12inexplicable reason, unjustifiably
18:14mindless manual labor thrives. Various
18:18micro-businesses in the regions that, I
18:19don't know, just created their first
18:21website a week ago, haven't really
18:23figured out the internet yet, and
18:24haven't even posted their first social
18:26media updates. They are probably
18:28another 10 years away from hiring AI
18:30agents or integrating full-fledged AI
18:32into their business. And the main
18:34limitation is precisely the mindset of
18:35these owners, who simply aren't even
18:37interested in this yet. This imbalance
18:39exists; somewhere, I don't know, in New
18:41York, in some company. Right now,
18:4310,000 AI agents are working on a task
18:46and solving it. Somewhere else, an
18:48elderly lady is typing by hand, and
18:50maybe not even on a computer, because
18:52she’s more used to keeping her
18:53bookkeeping in a notebook. This is a
18:55massive imbalance. And the people who
18:57will level out this imbalance and
18:59implement all of this in places where
19:01it hasn't been yet will be able to earn
19:03a lot. I have already lived through
19:05this once. When I was just starting my
19:07journey, there was such an imbalance
19:09with the internet and online promotion
19:11that any regional business that simply
19:13created a normal, basic one-page site
19:15plus turned on some simple Yandex ads
19:17and threw 15,000 rubles into it......
19:19would get hundreds of clients—10
19:21times more than all its competitors who
19:23were trying to catch the same clients
19:25on the streets. A just crazy imbalance,
19:29where one simple action gave a gigantic
19:32competitive advantage. And a great many
19:35people became millionaires from this.
19:38They would take some shoe factory in
19:40Saratov, make a website, post all the
19:43shoes there, and then become
19:44millionaires. They would take some
19:48construction company in Ryazan, or a
19:50log bathhouse builder in Sterlitamak,
19:52say it was awesome, make a site, get
19:54hundreds of clients, and become
19:56millionaires. Then I lived through a
20:00similar disproportion with social media
20:02, when you just make some information
20:03product, a course for 100,000 rubles.
20:06You make content about it, post a link,
20:081,000 people buy it, and you have 100
20:10million rubles. You're like: "What the
20:12hell? How is this even possible?" In
20:14general, such imbalances happen
20:15sometimes. And right now, this is the
20:18strongest one, and possibly the last.
20:20So, what is your opportunity right now?
20:22Become a person who alone replaces 10
20:26other team members. Become a person who
20:30is simultaneously a marketer, a sales
20:32manager running five bots, a designer,
20:34a financier, a strategist, a social
20:36media manager, and a copywriter. And
20:40all this is done by your agents while
20:41you just keep an eye on them. Become a
20:43person who can simply walk into any
20:45business and save the owner a million
20:48rubles by replacing a bunch of other
20:50inefficient employees. And these kinds
20:52of people are going to be in very high
20:53demand right now. And it is on this
20:55that you can build your capital now.
20:56What do I call capital? Actually, not
20:58just money. Three things. First, these
21:00are your solution-finding skills that I
21:02talked about. When you become a person
21:05who knows how to solve big problems,
21:07like attracting clients, being
21:08responsible for revenue, and scaling
21:10businesses, then for the next 10-20
21:12years, nothing will replace you. If you
21:15become such a person over the next 5
21:17years, you can consider yourself secure
21:19; you will have ended up on the other
21:20side of the wall with the wealthy. The
21:22second is your own venture or audience.
21:25Remember, we said that this whole story
21:27is playing into the hands of people who
21:29already have some kind of business. It
21:31helps them grow. It only hinders those
21:33who are just starting out. And within
21:35these 5 years, you must become either a
21:37person who has their own audience,
21:38clients, a blog, or a person who has
21:40their own real estate, locations, or
21:42business. In short, you need to build
21:44something in these 5 years so that it
21:46works, and then, once again, you will
21:48end up on the other side of the wall.
21:51And lastly, money, with which you can
21:52always buy something, because when
21:54labor loses value, assets will become
21:55even more expensive. And these are the
21:59three things you will need in 5 years
22:00so that when the hole in the wall of
22:02opportunity finally closes, splitting
22:03the classes into rich and poor for good
22:05, you end up on the side of the rich. I
22:07know what you are thinking right now.
22:09Like: "Misha, what capital? My salary
22:11is 40,000 rubles." I also started as a
22:13student from scratch. I had no money at
22:15all, so the order is this. First, a
22:17skill that is increasing in value, then
22:19your own business built on that skill,
22:21and only then money and assets. Not the
22:23other way around. I sincerely believe
22:25that the next 5 years are the worst
22:27time to relax and rest. Because we are
22:30living through the final opportunity to
22:33go from not rich to wealthy. And at the
22:35same time, 5 years is a lot of time. In
22:38that time, you can manage to master
22:39in-demand skills that are currently
22:41rising in value, start earning from
22:43them, build a business, form some
22:44capital, buy real estate or assets, and
22:46have something to show for it. And for
22:50the next 30-40 years of your life, you
22:52will either be grateful that you made
22:54it through this window or regret that
22:56you missed this final opportunity. And
22:59lastly, what I promised you at the
23:00beginning. Imagine I am 17, I have no
23:02experience, no money, yeah, absolutely
23:04nothing at all. And I want to become
23:06rich in the next 5 years. What would I
23:09do? I would start by studying for 2
23:11hours a day in parallel with school.
23:14Only I wouldn't be learning websites,
23:15but would take Claude and learn to
23:17solve entire business tasks. Finding
23:19clients, creating a product, packaging
23:21it, selling it. The neural network does
23:24all the manual work, and I think and
23:25guide it with my head. Then I would get
23:28a job at any business, any company, any
23:31job that would take me, and think about
23:33how to replace all the employees there
23:35with just me and Claude, understand
23:37what everyone actually does in that
23:39company, what final valuable product
23:41they create, and think: can I do it
23:44myself together with Claude? And in 90%
23:47of cases, the answer will be yes.
23:50Literally one person can be automated
23:52with a simple program using a voice
23:54command. Then I would become a very
23:57valuable employee for any company,
23:59replacing a marketer, editor, designer,
24:02and strategist, becoming someone worth
24:04200,000–300,000 rubles. Next, I would
24:07start selling services to businesses.
24:10Perhaps I would build an agency or
24:12create a product so that I wouldn't
24:14have to work for just one person paying
24:17me a salary, but could take on 10 such
24:19businesses, 10 different clients, and
24:21sell them something for 200,000 rubles.
24:24And again, I would implement this
24:26either with my own hands using Claude
24:28or have my team do it using my neural
24:30networks. I would sell this, gain
24:32experience, get better each time, raise
24:34my rates, and eventually reach a decent
24:37income level. Then I would think about
24:39how to build my own business around all
24:41of this. And by the way, this is
24:43exactly what I am preparing a new
24:44product for. How to become a person who
24:46replaces ten company employees. This is
24:48not a figure of speech; it's really
24:50doing what 10 people used to do.
24:52Remember, I started with an example
24:53about a designer. Previously, the kind
24:55of design you see on the screen right
24:57now cost me 200,000 rubles. per month.
24:59I learned to do it through Claude,
25:00developed my own design system, and now
25:02it costs virtually nothing. And we know
25:04how to make presentations, study notes,
25:06and websites like these. Anyone I give
25:08this design system to will be able to
25:10create the same design and essentially
25:13replace a person earning, say, 100,000
25:15–200,000 rubles. This is one of ten
25:17skills. Also editing, copywriting,
25:21competitive analysis, scriptwriting,
25:24YouTube scriptwriting, thumbnails,
25:26launch sequences, websites, and bots.
25:31The essence of the product is that I
25:33provide you with 10 ready-made skills
25:34that you install into your Claude, and
25:36you don't even really need to learn
25:38them. Your Claude will know how to do
25:40it immediately. You will only need to
25:42learn how to use it. You won't need to
25:45learn how to build websites; it will
25:46know how. You won't need to learn how
25:48to edit; it will know how. You will
25:49only need to know how to manage it. And
25:52that is what my new product will be
25:53about. I have very big plans for it.
25:55There is a massive amount of
25:57development and preparation going on
25:59because all these agents and skills
26:01really need to be trained to a high
26:03level so that they each work like a
26:06person worth 100,000 rubles. So it
26:08won’t be anytime soon, I think in
26:10about 2-3 months. Anyway, if you're
26:12interested, just wait for this product.
26:15I’ll be announcing everything soon.
26:16And I want to end this video with one
26:18main thought. The ladder I once climbed
26:20is still there, but the lower rungs are
26:22already being sawed off. The bar for
26:25entry rises every year, and the money
26:27goes to those who already have a
26:28business and capital. But right now,
26:30there is a window of opportunity.
26:32It’s that neural networks are already
26:34very cool and capable of so much, and
26:36they are working, yet most businesses
26:38and people aren't using them properly
26:40yet. Years ago, six months of study and
26:44one imbalance in the world that I
26:45noticed pulled me out of
26:47Dniprodzerzhynsk. Now there is the same
26:49kind of imbalance, only much stronger.
26:52But as long as it exists, the door is
26:53open. And I really want you to make it
26:55through before it closes. That’s all
26:57for now. Bye.

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