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чем плох тик-ток коучинг (не тренд, а новая норма, пазл сложился и это меняет все)

A critical analysis of TikTok coaching culture reveals its randomness, algorithm-driven success, and the pitfalls of viral business advice.

Key Takeaways

  • TikTok coaching often lacks accountability and real business insight.
  • Success is largely influenced by social and algorithmic factors, not just quality.
  • Algorithm-driven popularity can create a monoculture that harms diversity and innovation.
  • AI tools raise average content quality but reduce uniqueness and variety.
  • Consumers should critically evaluate viral business advice rather than follow it blindly.

What the video covers

  • TikTok business coaches often give generic advice without understanding the real business context and never take responsibility for outcomes.
  • Many coaches profit heavily despite low effectiveness, with only a tiny percentage of followers succeeding.
  • Success in business and creative fields is often random and influenced by social dynamics rather than pure quality.
  • A 2006 music market experiment demonstrated that social influence heavily skews success, making it unpredictable.
  • Social media algorithms amplify certain ideas based on engagement, not their actual value or effectiveness.
  • The concept of 'algorithmic monoculture' explains how uniform decision-making driven by algorithms reduces overall market quality.
  • AI usage in creative writing improves average quality but increases similarity, reducing diversity.
  • The music industry exemplifies how a few hits dominate while millions of tracks remain unnoticed, a pattern mirrored in business advice dissemination.
  • Viral business theses snowball due to social proof, creating a baseline that may not be truly effective.
  • The current digital landscape favors catchy, well-packaged advice over genuinely effective business strategies.

Answers

Questions about this video

Why does the video criticize TikTok business coaches?

The video criticizes TikTok business coaches for giving generic, unaccountable advice without understanding real business contexts, profiting heavily while most followers do not succeed.

What does the 2006 music market experiment reveal about success?

The experiment shows that success is heavily influenced by social proof and randomness, meaning even good songs can fail or succeed unpredictably based on early social influence.

What is 'algorithmic monoculture' and why is it important?

Algorithmic monoculture refers to a market where everyone makes decisions based on the same algorithm, which reduces overall decision quality and diversity despite improving individual outcomes.

Full Transcript — Download SRT & Markdown

00:00
Speaker A
I won't even use that most popular argument that these guys have never run a real business, yet are ready to dish out their little bits of advice for hours on end. It's funny that they couldn't care less what kind of business it is, how things are with the staff, what the market state is, or if there's even any potential there at all. Just a couple of introductory questions for the sake of decency. And then off they go, spewing their standard templates. The main thing is to pay for the breakdown and don't forget to put a deposit down for the next course. The main and obvious point about these business coaches is that none of them will ever take responsibility for their advice. But they will gladly take payment for it, and a hefty one at that. In reality, one could harp on about various Grebenkas and Sokolovskys for a very long time. There are people who have built entire social media channels just by generating this hate. But the sad part is that you can't defeat them. One disappears, and another one immediately pops up. This is also a market, and as long as there is demand, the circus will keep running. I’m not talking about outright fraudsters. There’s no point in even talking about them if someone is willing to pay 800,000 to some clown from TV to remove a curse. Go look for a green fence. Whoever the fool is here, they know it themselves. I’m talking about those who disguise their advice and mechanics as working methods, generously hand out seemingly adequate recommendations, promise to teach people how to make money, and tens of thousands of recipients bring them their cash in the hope that they’ll be helped to launch or grow a business. And, of course, it will all happen with total ease. They write down the action plan, follow all the recommendations, but for some reason, nothing happens at all. For the record, it must be said that there is a small, tiny percentage of those who succeed. But why don't the others? Are they not working hard enough, or are they doing something wrong? Or maybe this tiny percentage is actually the real effectiveness of these coaches, because effectiveness is far from the main criterion for selecting such recommendations. These fellows often talk about something that doesn't work at all. And sometimes it’s even harmful. Nowadays, the main criterion is just how good such advice sounds and how beautiful it looks. Let’s explain. Take a successful music producer who has been in the market for a long time. He’s experienced, he knows every trick in the book, but even he cannot produce exclusively hits. Moreover, he sometimes has failures, and entire albums just don't click. It’s the same situation with books and movies. Top actors, writers, an award-winning director, and a budget the size of an island nation. They filmed everything according to the rules of the current agenda, but nobody came to see it. And now the film studio is sitting there, counting its losses. And how did that happen? The problem is that success is too often completely random. And there is even proof of this. In 2006, they conducted an experiment to try and predict the behavior of the music market. They took 14,000 volunteers and gave them 48 songs by completely unknown bands. The goal was to ensure people were hearing these songs for the first time. The volunteers were then divided into two groups. The first group could see how often a track was downloaded, while the second could not. The experimenters wanted to test just how much society influences our behavior. And spoiler alert: it influences us a hell of a lot. The experiment was conducted eight times. That is, one group of volunteers would vote, then they would leave, and the next group would start voting. Roughly speaking, each song had eight attempts to become a hit from scratch. Indeed, good songs never failed, and those that were, well, frankly awful, never reached the top spots. However, all the others lived completely random lives. Meaning the same song could take first place in one case, and simply get lost in the next iteration. But the charts were most drastically reshaped when people could see the number of downloads. Then the gap between the leaders and the less popular songs became absolutely colossal. And that is the influence of one small download count. In the real world, the social pressure on us is much greater. It includes media, advertising, social networks, and our environment. In the end, by releasing the same set of tracks onto a hypothetical market eight times, different winners emerged each time. The authors concluded that quality is not the most important criterion for success. It’s more like a lottery, where the winner is whoever happens to get the first 10 downloads. Even a small initial lead turns into disproportionate success in the future. This is the so-called superstar theory from 1981. In short, the rich just keep getting richer. So, some business thesis by pure chance goes viral on social media and gets tons of reach. And people see this and think, "I want likes too, I'll push this idea as well." And they start filming this content. As a result, the snowball effect leads to this thesis becoming an undeniable baseline. Our social media feed is the same experiment, but with expanded capabilities, involving not 14,000 people, but several million. Not 14,000, but several million. Not X, but Y. How do we even unsee this now? And how do we stop noticing this in every single contrast? There are millions of participants, and the number of business ideas is not limited to forty-eight; it is infinite. You can comment, you can like, you can send it to friends, and all of this is governed by an algorithm that couldn't care less if the idea actually works or if it's just some trash generated by a neural network. He sees that people are reacting and goes, "Great, let's ramp it up." By the way, the music industry is a great example of how modern filtering systems work. A 2024 report showed that the number of audio streams is increasing, meaning the pie is growing year over year. Out of 200 million tracks available on various platforms, 93 million have been played fewer than 10 times. Another 47 million tracks have been played fewer than 100 times. At the very top, there are only 33 tracks, each with over a billion streams. So, out of all 200 million, only 33 tracks became successful, while no one even noticed the rest. I’m afraid to even imagine the incredible volume of AI-generated music being uploaded to these platforms right now. If there were 200 million tracks yesterday, tomorrow there will be 40 times that many. It is completely unclear how live musicians are supposed to work in such a field. That is the new reality. Choice is determined purely mathematically, based on numbers. The same mechanics apply to advice on how to conduct business. What about the wisdom of the crowd and all that? If a thesis has made it through such a massive filter of so many people, while others haven't, maybe it’s the most correct one. In 2021, a term appeared that provides a clue: "algorithmic monoculture." The idea is that if all market participants make decisions based on the same algorithm, the overall quality of those decisions drops. Even if such an algorithm makes an individual much smarter, the lack of alternative options makes the entire collective dumber. So, it turns out that variability and accessible diversity are incredibly important. In 2024, there was a study on the impact of AI on writing. They took three hundred people and had them write short stories for teenagers. Some of these people used AI, others wrote in the old-fashioned way, and then six hundred readers rated the resulting work. The work of authors with low creativity improved the most. For good authors, nothing changed. In the end, AI seemed to level the playing field, raising the average bar. The texts individually seemed to get better, but the similarity of the stories increased significantly. People are wr
00:12
Speaker A
business it is, how things are with the staff, what the market state is, or if there's even any potential there at all . Just a couple of introductory questions for the sake of decency. And then off they go, spewing their
00:22
Speaker A
standard templates. The main thing is to pay for the breakdown and don't forget to put a deposit down for the next course. The main and obvious point about these business coaches is that none of them will ever take
00:33
Speaker A
responsibility for their advice. But they will gladly take payment for it, and a hefty one at that. In reality, one could harp on about various Grebenkas and Sokolovskys for a very long time. There are people who have built entire social media channels just
00:46
Speaker A
by generating this hate. But the sad part is that you can't defeat them. One disappears, and another one immediately pops up. This is also a market, and as long as there is demand, the circus will keep running. I’m not talking
00:56
Speaker A
about outright fraudsters. There’s no point in even talking about them if someone is willing to pay 800,000 to some clown from TV to remove a curse.
01:04
Speaker A
Go look for a green fence. Whoever the fool is here, they know it themselves. I’m talking about those who disguise their advice and mechanics as working methods, generously hand out seemingly adequate recommendations, promise to teach people how to make
01:18
Speaker A
money, and tens of thousands of recipients bring them their cash in the hope that they’ll be helped to launch or grow a business. And, of course, it will all happen with total ease. They write down the action plan, follow all
01:29
Speaker A
the recommendations, but for some reason, nothing happens at all. For the record, it must be said that there is a small, tiny percentage of those who succeed. But why don't the others? Are they not working hard enough, or are
01:40
Speaker A
they doing something wrong? Or maybe this tiny percentage is actually the real effectiveness of these coaches, because effectiveness is far from the main criterion for selecting such recommendations. These fellows often talk about something that doesn't work at all. And sometimes it’s even
01:56
Speaker A
harmful. Nowadays, the main criterion is just how good such advice sounds and how beautiful it looks. Let’s explain . Take a successful music producer who has been in the market for a long time.
02:06
Speaker A
He’s experienced, he knows every trick in the book, but even he cannot produce exclusively hits. Moreover, he sometimes has failures, and entire albums just don't click. It’s the same situation with books and movies.
02:17
Speaker A
Top actors, writers, an award-winning director, and a budget the size of an island nation. They filmed everything according to the rules of the current agenda, but nobody came to see it. And now the film studio is sitting there,
02:29
Speaker A
counting its losses. And how did that happen? The problem is that success is too often completely random. And there is even proof of this. In 2006, they conducted an experiment to try and predict the behavior of the music
02:41
Speaker A
market. They took 14,000 volunteers and gave them 48 songs by completely unknown bands. The goal was to ensure people were hearing these songs for the first time. The volunteers were then divided into two groups. The first group could see how often a track was
02:54
Speaker A
downloaded, while the second could not. The experimenters wanted to test just how much society influences our behavior. And spoiler alert: it influences us a hell of a lot. The experiment was conducted eight times.
03:04
Speaker A
That is, one group of volunteers would vote, then they would leave, and the next group would start voting. Roughly speaking, each song had eight attempts to become a hit from scratch. Indeed, good songs never failed, and those that
03:17
Speaker A
were, well, frankly awful, never reached the top spots. However, all the others lived completely random lives.
03:25
Speaker A
Meaning the same song could take first place in one case, and simply get lost in the next iteration. But the charts were most drastically reshaped when people could see the number of downloads. Then the gap between the leaders and the less popular songs
03:39
Speaker A
became absolutely colossal. And that is the influence of one small download count. In the real world, the social pressure on us is much greater. It includes media, advertising, social networks, and our environment. In the end, by releasing the same set of
03:51
Speaker A
tracks onto a hypothetical market eight times, different winners emerged each time. The authors concluded that quality is not the most important criterion for success. It’s more like a lottery, where the winner is whoever happens to get the first 10 downloads.
04:04
Speaker A
Even a small initial lead turns into disproportionate success in the future. This is the so-called superstar theory from 1981. In short, the rich just keep getting richer. So, some business thesis by pure chance. Goes viral on social media and gets tons of reach.
04:22
Speaker A
And people see this and think, "I want likes too, I'll push this idea as well.
04:26
Speaker A
" And they start filming this content. As a result, the snowball effect leads to this thesis becoming an undeniable baseline. Our social media feed is the same experiment, but with expanded capabilities, involving not 14,000 people, but several million. Not 14,000
04:43
Speaker A
, but several million. Not X, but Y. How do we even unsee this now? And how do we stop noticing this in every single contrast? There are millions of participants, and the number of business ideas is not limited to
04:55
Speaker A
forty-eight; it is infinite. You can comment, you can like, you can send it to friends, and all of this is governed by an algorithm that couldn't care less if the idea actually works or if it's just some trash generated by a neural
05:07
Speaker A
network. He sees that people are reacting and goes, "Great, let's ramp it up." By the way, the music industry is a great example of how modern filtering systems work. A 2024 report showed that the number of audio streams
05:21
Speaker A
is increasing, meaning the pie is growing year over year. Out of 200 million tracks available on various platforms, 93 million have been played fewer than 10 times. Another 47 million tracks have been played fewer than 100 times. At the very top, there are only
05:36
Speaker A
33 tracks, each with over a billion streams. So, out of all 200 million, only 33 tracks became successful, while no one even noticed the rest. I’m afraid to even imagine the incredible volume of AI-generated music being uploaded to these platforms right now.
05:53
Speaker A
If there were 200 million tracks yesterday, tomorrow there will be 40 times that many. It is completely unclear how live musicians are supposed to work in such a field. That is the new reality. Choice is determined purely mathematically, based on numbers
06:06
Speaker A
. The same mechanics apply to advice on how to conduct business. What about the wisdom of the crowd and all that? If a thesis has made it through such a massive filter of so many people, while others haven't, maybe it’s the most
06:18
Speaker A
correct one. In 2021, a term appeared that provides a clue: "algorithmic monoculture." The idea is that if all market participants make decisions based on the same algorithm, the overall quality of those decisions drops. Even if such an algorithm makes
06:35
Speaker A
an individual much smarter, the lack of alternative options makes the entire collective dumber. So, it turns out that variability and accessible diversity are incredibly important. In 2024, there was a study on the impact of AI on writing. They took three
06:50
Speaker A
hundred people and had them write short stories for teenagers. Some of these people used AI, others wrote in the old-fashioned way, and then six hundred readers rated the resulting work. The work of authors with low creativity improved the most. For good authors,
07:06
Speaker A
nothing changed. In the end, AI seemed to level the playing field, raising the average bar. The texts individually seemed to get better, but the similarity of the stories increased significantly. People are writing better, but they are writing the same
07:18
Speaker A
things. A funny detail: when readers were told the text they read was created using AI, they instantly lowered the author's rating by at least 25%from the original score. Well, that’s because people are willing to put up with a certain level of
07:33
Speaker A
inefficiency for the chance to see new ideas. For example, the entire patent system is built on this scheme. A person invents something, and the state grants them a temporary monopoly on the use of that invention. And, naturally, at that moment, the value of the
07:46
Speaker A
invention shoots through the roof. A huge number of people won't be able to afford to buy it, even if they really need it. It would be beneficial for both the state and society if patents didn't exist at all, but then inventors
07:58
Speaker A
would have no incentive to come up with anything new. By the way, there are counterexamples in human history where high efficiency is achieved by reducing diversity. For example, under capitalism, dozens of companies try to enter the market simultaneously to
08:14
Speaker A
launch a product, but along the way, 90 %of them lose and drop out of the race.
08:19
Speaker A
This results in monstrous, inefficient duplication. The USSR had a plan that eliminated this problem, but it led to a lag in consumer innovation. So, here you have a super-efficient galosh factory. Well, in one color, three sizes. No New Balances for you. And as
08:36
Speaker A
practice has shown, society agrees to a certain level of inefficiency for the sake of new ideas and products. I think you can already guess how this whole story affects the theses of business coaches. And we will go through them
08:47
Speaker A
further with examples. But we need to pay attention to one more point. This whole story with algorithms has long gone beyond social networks and is heavily influencing real entrepreneurs.
08:56
Speaker A
Karel Chayka describes a curious observation. Wherever he is, in Seoul, in Moscow, in Berlin. Coffee shop interiors are almost always the same in all locations around the world today.
09:05
Speaker A
Lots of wood, exposed concrete, brick, Edison bulbs, white tiles, Scandinavian furniture—a basic set. All these owners, while in completely different corners of the planet, sit in the same algorithmic feed and see the same viral reels. So, an image of an ideal coffee
09:22
Speaker A
shop forms in their heads, which they implement more or less the same way. And the exact same thing happened with this whole "successful success" culture . Out of dozens of possible courses of action, these guys today offer us
09:33
Speaker A
literally one universal one. And do you know which advice is voiced most often? You have 100%heard it. Find a customer's pain, remove it, and you will become incredibly rich. I'm sure there is no one who hasn't heard this
09:45
Speaker A
text. You can't argue with it, right? A person has excess weight. Well, sell them a book or weight-loss courses; in an extreme case, I don't know, drag them to a surgeon for liposuction. They have pain, and they will be ready to
09:55
Speaker A
pay to solve that pain. And actually, yes, the scheme with this pain does work in some areas, but it is far from universal, and sometimes it is harmful.
10:03
Speaker A
It is extremely convenient for algorithms. A simple, clear answer to the question: "What should I do?""Just look for pains and resolve them." This format is perfect for a one-minute explanation. And there is simply no advice more popular than this right now
10:15
Speaker A
. The rampant algorithm has spread this idea far and wide. And now thousands of people are desperately trying to find some sort of pain where none exists.
10:21
Speaker A
Well, for example, what pain does hand soap solve? It has been with us throughout human history, successfully helping us wash away dirt. A beautiful, wonderful product. But the unhappy marketer is forced to look for some kind of pain. And so they pull
10:34
Speaker A
nonexistent problems out of thin air and fragment their audience more and more. The result is something like liquid perfume soap for young moms who care about nature and love the Zelenskiy scent, but don't want to pay for the original. That is how some sort
10:48
Speaker A
of marketing Frankenstein is born. What pain does an advertising agency solve? It’s the pain of low sales. Or a grocery store—that’s the pain of a hungry belly. No, well, if you want, you can certainly drag any stupid formulation in by the ears, but in most
11:02
Speaker A
traditional businesses, there is no pain. Again, this is not some contrarian opinion of mine. There are statistics based on large data sets that experts have been collecting for over 15 years. Brands grow their revenue by expanding penetration, through occasional, random buyers, not
11:18
Speaker A
by milking their loyal audience. The basic rule is elementary: mental and physical availability, so that a person remembers you at the moment of purchase and can find you on a figurative shelf.
11:29
Speaker A
And I really liked the funny term " meaningless distinctiveness." This is when a brand stands out from competitors based on features that, in reality, do not affect quality or add any clear utility to the product. For example, you might remember the Pantene
11:43
Speaker A
shampoo commercials with provitamin B5. Provitamin B5 is just regular panthenol , or sunflower oil labeled " cholesterol-free." Cholesterol is found only in animal products; in vegetable oil......it cannot exist by definition.
11:54
Speaker A
Five-blade razors or various pseudo-scientific ingredients in cosmetics. It's funny that all these fabricated, empty attributes actually work. The effect is explained simply.
12:04
Speaker A
If the manufacturer puts such a powerful emphasis on it, then there must be some point to it. It must be important. That’s how buyers think.
12:11
Speaker A
And such distinctiveness easily justifies a high price premium for the product. These are exactly the examples of "pain" pulled out of thin air, where large corporations invent a problem and sell its solution. Well, a classic. But as I see it, for most people today,
12:24
Speaker A
such a classic comes with a negative sign. And this scheme is completely unsuitable for small businesses, which is exactly who all these Instagram business coaches are targeting. To educate people about pains they don't even know they have, you need massive
12:36
Speaker A
budgets that an average sole proprietor simply doesn't have. The advice is, of course, nonsense, because it wasn't born for the human world, but purely for Reels. But you have to admit, they sound incredibly pleasant. Step out of your comfort zone, find some pain,
12:50
Speaker A
solve it, and that's it. People get hooked on this because it sounds so incredibly simple. A grown, smart guy has figured out how to make you rich. I believe the essence of business is creating value to generate profit, in
13:02
Speaker A
order to scale that creation. A service or a new product that provides value to people. That is nowhere near a synonym for pain. The scale and the vector of thinking here are in completely different planes. There’s this CrossFit race, HYROX, that started
13:13
Speaker A
almost 10 years ago in Germany. Only 600 people took part in the first competition. It’s a tough endurance test: 8 km of running with a strength station every kilometer. Pushing sleds, doing lunges with 20 kg on your shoulders. So, it all started with six
13:28
Speaker A
hundred participants. But the last competition already drew 1.5 million people in 1,000 gyms worldwide. And what kind of pain does this organization solve? Does it help all these fit, trained athletes lose weight ? Businesses shouldn't constantly look for some pain or invent problems. They
13:46
Speaker A
should organize something society needs , even if it’s just a scoreboard and a stopwatch. Yes, usually it doesn't happen as simply as they preach on TikTok. And ChatGPT doesn't suggest a flawless, correct direction. You will have to take on high risks of losing
14:00
Speaker A
time and money. And by the way, have you often heard about risks on Instagram? Well, that's because such Reels upset vulnerable future millionaires and don't get their likes.
14:10
Speaker A
Nobody wants to hear about unpleasant things like loans, bankruptcy, or debt. That doesn't hype people up.
14:16
Speaker A
Unfortunately, the trend of information homogenization will only continue to gain momentum. Right now, people are still resisting generative AI, but it's like digital cameras, e-readers, or streaming services. At first, we grumble and complain that there's no soul in it, then we join the rest of
14:31
Speaker A
the users. Selection of ideas and thoughts now happens not through a filter of real-life applicability, but through shareability on phones. A universal answer is convenient and socially acceptable, and more and more people will settle for them. A long
14:45
Speaker A
time ago, search engines gave users a list of sources from which the person chose for themselves. Now, the top line shows a single synthesized answer, literally an average of everything found. By the beginning of 2026, almost 70%of Google searches ended without a
14:59
Speaker A
single click. Meaning the user got an averaged generation and didn't look any further. The shapes of modern cars are increasingly merging, differing only by their emblems. An averaged pretty female face on Instagram under a filter or averaged chart music created more
15:14
Speaker A
for algorithms than for people. And the exact same thing is happening with business advice. Yes, alternative options will not disappear and will continue to exist, but not as the first link or in the bestselling book. More and more, you will have to put in
15:28
Speaker A
effort to reach them. Well, who is to blame that they don't fit into that coveted minute of vertical video? Ma
Topics:TikTok coachingbusiness advicealgorithmic monoculturesocial media influenceviral contentbusiness success randomnessAI impact on creativitymusic industry analogydigital marketingonline coaching critique

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