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2026'da Yapay Zeka ile Nasıl Kazanılır? — Transcript

by Gürkanzone · 5,307 words · 787 segments · language en · Watch on YouTube

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0:00It's time for us to wake up. Because
0:01artificial intelligence has settled
0:03into the center of our lives. That
0:04breaking point, that major turning
0:06point, has already fully happened in
0:07the past few months, and giant
0:09companies have already begun to
0:10dominate the sector with multi-billion
0:12dollar investments. If you are still
0:14ignoring these developments, you will
0:15fall far behind the game. But don't get
0:17me wrong. I didn't come here to act
0:19like a doomsayer or to say "oh no,
0:21we're finished." And I'm not just
0:22talking about those tech giants in
0:24Silicon Valley. I am here to help you
0:26prepare for the changes that will take
0:27place in businesses in Turkey, in SMEs,
0:29in corporate plazas, and even in
0:30street-level commerce. If you still
0:32doubt this, I have some brief and clear
0:34news for you. Artificial intelligence
0:36will never be any worse than it is
0:38right now. It will only continue to
0:39develop and advance. And if you look at
0:41the speed of its development, learning
0:42artificial intelligence is your most
0:44important job right now. That’s why
0:46in this video, I will share with you
0:47some AI mindsets and use cases that you
0:49can use to make fundamental changes in
0:51your business—or even put into
0:53practice as soon as this video ends. I
0:55will give examples from different
0:56fields, but if you want to build a
0:58business from scratch using AI, I
1:00suggest you take a look at the 28-day
1:01kit we prepared. Because that kit lays
1:03out what you need to do in 28 days to
1:05build a functional e-commerce store,
1:07and in 28 days, you have a working
1:09e-commerce store. I’ve left the link
1:11below. However, winning with AI is not
1:13just about building a business from
1:15scratch. I will also talk about how
1:17things work if you are working in a
1:18large company. Because I believe how
1:20you protect your seat and your role
1:22there, and how you progress, is vitally
1:24important. Even if you are working for
1:25someone else. And what I am describing
1:28here applies to me and my team as well.
1:30And let me say this clearly. There has
1:32never been a better time in the world
1:33to build a business or a system that
1:35will disrupt the market. Because most
1:37people in the market right now are busy
1:39running their old-school businesses
1:41instead of truly learning AI and
1:42integrating it, and just saying "look,
1:44we use AI too, it's useful here and
1:46there" just for the sake of it—that's
1:48how most people are. So, if you are
1:50just starting out, your greatest
1:52advantage is your time and your focus.
1:54Here is the point: Every new skill you
1:56add to your ability to use AI will give
1:59you a massive unfair competitive
2:00advantage against your rivals, and by
2:02the end of this video, you will fully
2:04grasp the secret to creating this
2:06unfair advantage. Even though people
2:09want to say "we are AI-focused," if you
2:11have a crowded and cumbersome
2:12organizational chart, it is really hard
2:14to make those people use new
2:15technologies that disrupt the comfort
2:17they are used to. Because there is
2:19already a established routine.
2:21Especially since no one is willing to
2:22have those cold and difficult
2:24conversations like, "Hey folks,
2:25unfortunately, we have automated this
2:27position with AI," things get even more
2:29complicated within organizations, and
2:31managers immediately start thinking, "
2:32Alright, let's find something else for
2:34Ahmet or Ayşe to do whose job is done.
2:36" We automated this with AI. Let’s
2:39find them different positions. But the
2:41issue isn't whether or not the comfort
2:42is disrupted. We are trying to raise
2:44the bar as high as possible in
2:45companies. Only talented individuals
2:48who can leverage AI and automation to
2:51reach that higher level should remain.
2:54As for the rest, those who can't keep
2:56up or adapt must go. I realize this
2:59sounds harsh or a bit extreme, but that
3:01is the reality of AI today. We have to
3:04keep pace with this era. Let me share
3:06the latest statements from the most
3:08talented experts guiding the global
3:10economy. They recently revealed how
3:14employment growth in the private sector
3:16has hit zero. Companies are no longer
3:19creating new openings, and here is what
3:20they are saying. Investment in actual
3:22human labor in the private sector is
3:23effectively zero. Just think about how
3:25strange that is. Especially since this
3:27is not happening because the economy is
3:29doing poorly in 2026. Look, companies
3:30are growing. The issue is that
3:32companies are automating their existing
3:34tasks with AI and eliminating those
3:36positions entirely. I will emphasize
3:39again that I am not making this video
3:41to scare or panic you, but to motivate
3:43you to take action as soon as possible.
3:46Because as people who master AI start
3:48doing the work of five people, these
3:49departments are shrinking. Because at
3:52first, it will feel like nothing is
3:53changing, but then everything will
3:55happen at a dizzying speed. In game
3:57theory, the most flexible and adaptable
4:00systems always survive. It has been
4:02this way for thousands of years; it’s
4:04not the strongest or the smartest, but
4:06the most adaptable people and companies
4:09that survive. This means one thing.
4:11With such massive change happening
4:13around you, you must change too. You
4:15have to adapt. And learning how to use
4:18AI tools is the first and most certain
4:20way to ensure that adaptation. And for
4:22those among you who are hesitant or
4:24afraid to use AI, my first piece of
4:25advice is this. Please overcome this
4:27fear as soon as possible. Because
4:29fearing minor potential risks and
4:31avoiding this new technology is often a
4:34much bigger risk for your future.
4:37Whatever your position, some people
4:39still ask: "Well, what about the
4:41security issues?" They worry about
4:44their credit cards being stolen,
4:46personal data compromised, unauthorized
4:48charges, or technical glitches, and yes
4:50, if you grant your AI unlimited access
4:53without any security measures, such
4:55rare events could happen. But this fear
4:58is like saying: "I went online, tried
5:00to buy a product, and got scammed.""I
5:02will never use the internet again.""
5:04Because the internet is a terrible
5:06thing." Like in the early 2000s or
5:082010s. Is that a logical way of
5:09thinking? It is not. So, why aren't
5:11more people adopting AI into their
5:14lives? The biggest reasons are
5:16complacency and, in my observation,
5:18laziness. Especially in the age of
5:19social media. There is a short-term
5:21time cost you must pay to learn
5:23something new. And that is the rule of
5:25the game. Yes. You have to set aside
5:27time to adapt. It’s just like hiring
5:29a new employee and training them for
5:30your company. If you tell yourself, "I
5:33don't have time to train a new hire,
5:34I'd rather do it myself and get it done
5:36faster," you are right for that
5:38specific moment. You will likely
5:40complete the task much faster than
5:41someone you are training. But once you
5:43train that person, you will have
5:44someone who can perform that job for
5:46you for the rest of their career. And
5:48that is the logical approach in any
5:49organization. But if you think
5:50short-term, like most people do, you
5:52will find yourself in a losing battle
5:54against those who look at the future
5:55with a long-term vision. Especially in
5:57this age of artificial intelligence.
5:59And grasping a new field or technology
6:00well enough to use it—look, AI takes
6:02about 15–20 hours of focused work,
6:04and the point where most people give up
6:06isn't for lack of those 15-20 hours.
6:08It's because they never sit down at the
6:10computer to actually try and understand
6:11it. And I promise you this. Look, just
6:13set aside a single weekend. If you
6:16decide that just for this Saturday and
6:18Sunday, you will sit at your computer
6:20and definitely figure out how to get an
6:22AI to do a task for you, you will solve
6:24it by the end of this weekend. I’m
6:26talking about 15-20 hours of work. Yes.
6:28Maybe you won't have a massive, perfect
6:31project finished by Sunday night, but
6:33at least you will have broken that
6:35hesitation, torn through the packaging,
6:37and truly gotten your hands dirty. And
6:39your level of comprehension will be far
6:41beyond those articles on the internet
6:42that scare you just for clicks and
6:43engagement. "This job will disappear,""
6:44that job will be gone." You will know
6:46much more than by just reading those.
6:47If you just set aside one weekend. Now,
6:49let’s look at what this practically
6:51means in an organization, whether you
6:53are an employee, a manager, or a boss.
6:55How do we integrate this into our lives
6:56? We need to stop thinking based on
6:58roles or titles and start thinking
7:00based on workflows. Regardless of what
7:02task is being done. And you need to
7:04tactically break it down into pieces.
7:07For every person you think about hiring
7:08, you need to list out every single one
7:10of the 5-10 tasks they actually do with
7:12their body, eyes, voice, or at the
7:13keyboard. You have to write it down
7:16first. And then, you need to question
7:17whether each of these tasks can become
7:19part of a workflow, rather than seeing
7:21them as a need for a new employee. The
7:24old-school way of thinking went like
7:25this: "I urgently need to hire a video
7:27editor." Why? "Because videos need to
7:29go out." With the mindset of the new
7:31era, it proceeds like this: What are
7:33the five steps an editor actually takes
7:34to get a video ready? And each of those
7:37steps will now become a workflow in our
7:38new system. To help you visualize those
7:40five steps and the concept better,
7:42I’ll give you an example. Let’s say
7:43you have a classic organizational chart
7:45. We’ll keep it at a very simple
7:46level. In this chart, there are tasks
7:48that must be performed under each title
7:50, or at least there should be, right?
7:52Technically, this role does this. These
7:53people report to this one. They adopt
7:55these specific roles. But the problem
7:58that arises here is this: These are all
7:59organizational charts built to manage
8:01people in a company, not to organize
8:03the inputs and outputs of the work
8:04itself. So it's not about "this one
8:06manages this, this one is under this,
8:06and that one is under that." Because if
8:09we were truly doing everything
8:10perfectly in a company, corporate
8:12structures would resemble a factory
8:13assembly line more than those plaza
8:15offices. With these things going in and
8:17those things coming out. So what do I
8:18mean by this? Every business basically
8:21takes raw materials, adds its own
8:22special recipes, and produces something
8:25of higher value. Whether it’s a
8:26physical product or the service sector,
8:28this remains the same. By bringing
8:29multiple talents together, you can
8:31create value far greater than what
8:32could be done individually. This is
8:34also true in the digital world. For
8:35example, you have someone who can write
8:37copy, someone who can read/voice it,
8:39someone who can operate a camera, and
8:41someone who can edit. You bring them
8:43all together, combine them, and you
8:44have an advertising agency. And if you
8:46have someone who can launch and manage
8:48ads, you’re all set. It means you can
8:51now build an agency that provides
8:52performance marketing to people. And
8:54with the value these people combine,
8:55you actually get an input-output system
8:57. We shouldn't forget this. In
8:58traditional organizational charts, this
9:00is our decision-making mechanism, but
9:02the mechanism exists only to resolve
9:04company hierarchy and communication
9:06between people. However, if you had set
9:09the rules for how every task is
9:11produced correctly from the start, you
9:12would have planned the chain of tasks
9:14not as a hierarchy, but as a straight
9:16production line that directly creates
9:17that product. That’s why SOPs exist
9:20in the first place. The critical point
9:21here isn't to say I’ll just hand over
9:23this person's job entirely to AI and
9:25fire them. Look, it's about figuring
9:27out how those SOPs are done. What you
9:29need to do is go one layer deeper and
9:31ask this: Can we perhaps automate these
9:3310 tasks this person repeats every day
9:36without even thinking, along with the
9:38step that follows? If you are that
9:40person and you aren't using automation
9:42to lighten your workload, believe me,
9:44you are already missing the boat. If
9:46you're doing the same work the same way
9:47every single day. That’s why I want
9:49to help you visualize the future of the
9:50business world, at least in the medium
9:52term. In the medium term, the era of "
9:54bring your own software" or "bring your
9:57own AI" will begin. What do I mean? In
9:59the "bring your own AI" era. It’s
10:01something not talked about much on the
10:02internet. It’s something that doesn't
10:03get much attention. But when you go for
10:05an interview at a company, you might be
10:07going to get hired as an employee, but
10:09that will give you immense bargaining
10:11power in the negotiation. Bring your
10:13own AI. Just imagine, you walk into a
10:15corporate plaza or a large company and
10:17tell them, "I can do the work of your
10:19entire marketing department all by
10:21myself." Because you are going there
10:22with a package. Not just with your own
10:24knowledge. Look, do you know how many
10:26people work in the massive marketing
10:28department of Anthropic, one of the
10:30world's biggest AI companies? You all
10:32know Anthropic right now. There is only
10:34one person. Can you believe it? One
10:35person covers the entire marketing
10:37department, and of course, they have
10:39huge PR power. They have their networks
10:40, this and that. But there is only one
10:42person managing it. Does that guy
10:43really sit down and do all that work
10:45with just his pen and paper? No. Now,
10:47let's look at the bigger picture.
10:48Whether you’re running your own
10:50e-commerce business or serving big
10:51companies out there. Think about the
10:54massive budgets companies pour into
10:56entire human departments just to get a
10:57single output. If you can deliver that
11:01same output solo, thanks to AI agents
11:03you've trained to your own workflow,
11:05that's when you become invaluable. This
11:08is where you need to be; this is where
11:10you should focus. Can you do this by
11:11setting up an external agency? You
11:13absolutely can. And since you can
11:15deliver those outputs all by yourself
11:17—outputs that companies are currently
11:18spending huge resources on people to
11:20get—could you, for example, build an
11:22agency that provides these as a service
11:24? You absolutely can. Or, you could go
11:26inside a company and say, "Look, I'll
11:27do this and that, but I want this
11:28partnership.""I want this equity." What
11:30if you told them, "I'll get the work of
11:3250 or 100 people done for you"—would
11:34that work? Why wouldn't it? Would you
11:36only do it to earn more cash? By
11:38selling the "one-of" value, these are
11:39all reachable options. Once you commit
11:42to it, think about what businesses need
11:44, those functions and outputs, and set
11:46aside those office-world obsessions
11:47with titles like manager or director,
11:49and all that ego. Because I don't
11:52believe that mindset will survive.
11:54Outputs are what matter now, not titles
11:55. And if you are an employer or
11:57entrepreneur and you say, "I want to
11:58use this AI in my business, I want to
12:00have my own AI agents," I'm going to
12:01tell you the biggest mistake people
12:03make. People don't train AI like they
12:05train a new employee they just hired
12:06for the office. That’s the biggest
12:08problem. They give a single prompt.
12:10When the result turns out terrible,
12:12they say, "Oh, AI is terrible, it's
12:14garbage, it's useless for our work."
12:17Wait a second; the AI we have right now
12:19is the worst version it will ever be,
12:20so let’s not forget that it will only
12:22get better from here. Yes, keep that in
12:24mind, but secondly, think about hiring
12:26a brand-new employee for the company.
12:28You tell them to do a task, and the kid
12:30brings you something wrong on their
12:32first try. Do you fire them on the spot
12:33? Saying, "You couldn't do it, get out"
12:34? Probably not; you say, "I need to
12:36train you a little more." You show them
12:38, "Look, this is how you do it," but
12:40you might say, "At the end of the day,
12:41AI can't give that human feeling or
12:43that human touch." You need to
12:44completely destroy and abandon that
12:46perception. The idea that AI can't
12:47provide a human touch or act like a
12:49human. Because when you understand this
12:51, go explain it to your team and your
12:52employees: how do humans learn? Through
12:54trial and error. If you do something
12:55and the result is good, you keep doing
12:57it. If it’s bad, you do it less. When
12:59people say someone has great taste or
13:01is very perceptive, what they’re
13:03actually seeing is that person
13:04recognizing a pattern in events, being
13:06rewarded for it, or moving away from
13:08what isn't rewarded, and thus becoming
13:10increasingly better at identifying
13:12patterns. That is how humans work. So,
13:14who is millions of times better than
13:16humans at recognizing algorithms,
13:18patterns, and templates? Computers keep
13:20things in mind better, man. They learn
13:22better, they spot patterns better.
13:24Basically, you need to train a computer
13:26just like you'd train a person. You
13:28need to show them, teach them trial and
13:30error. But here is the hard truth. Most
13:31of our bosses don't even know how to
13:33properly train the people working for
13:35them. They don't know how to train
13:36people. They are bad at teaching
13:38because they don't think operationally.
13:41Those who have followed me for a while
13:42know. I strongly believe in thinking
13:44through operational and observable
13:46behaviors. I usually design all my
13:48system schemes based on this. I think
13:50this skill and aptitude of mine allowed
13:52me to adapt perfectly to AI training.
13:54Because if you strip away those
13:56emotional, abstract words, you can
13:58truly train AI. Instead of giving vague
14:01instructions to your employees like "
14:03make this more charismatic" or "soften
14:05the tone," if you just state exactly
14:07what you want with clear rules, things
14:09change for AI too. People usually fail
14:12—whether working with a team or AI—
14:14because they can't clearly define what
14:16"good" looks like. That is actually the
14:19reason for the failure. If you spend
14:21time defining what you actually want
14:23instead of expecting the other person
14:25or the AI to guess what's in your mind,
14:27you suddenly become a massive AI
14:29trainer. If you try to make the output
14:31concrete—I'll give you a simple
14:33example regarding this. If you’re
14:35confused, you tell the AI "write me an
14:37email," and in your eyes, what it
14:39writes looks like fake, robotic junk.
14:41Why? Because other than telling it "
14:44write something that sounds like stuff
14:46on the internet," you gave it no vision
14:48. I mean, you just said "write me a
14:51mail like this," but AI is already
14:52trained on that huge garbage dump of
14:54internet info, so naturally, it will
14:56offer you something mediocre. If you
14:57want something average, you get average
14:59input. But if you say to it, "Look, I
15:01have 12 writing rules I must never
15:04break. This is my style. Take it. And
15:06here are 16 examples of emails I’ve
15:08written before. I want you to write in
15:10this tone by looking only at these. I
15:12want you to write in this tone by
15:13looking only at these. What will happen
15:15? You will get a result 5 times higher
15:17in quality than before. When you repeat
15:19this cycle 100 times, you suddenly have
15:22a machine perfectly trained with your
15:24patterns. If you explain this to a
15:27person 100 times, it might take them
15:291.5 years to learn because they’ll
15:30forget the rules you mentioned 16 times
15:32ago, but since AI will remember all 100
15:34times you gave it the equation,
15:36you’ll do it in maybe 100 minutes.
15:38There are still some of you who never
15:40use AI, saying" I don't need it,
15:42nothing can replace people. "Good for
15:44you. Because that makes competing with
15:46you very easy. Today, there are still
15:48people in offices using fax machines or
15:50counting on their fingers while doing
15:51math. That doesn’t mean their chances
15:54of winning are high. On the contrary,
15:56it means they are managing to survive
15:57despite struggling with a massive
15:59disadvantage. I mean, they could be
16:00going 10 times faster, but they’re
16:02counting on their fingers. To stay in
16:03the competition, they have to be very,
16:05very good in other areas. Do you think
16:07there are still shopkeepers today who
16:09make money without a website? Yes, of
16:10course there are. They haven't kept up
16:12with 25 or 30 years of progress. But
16:13the question is: are these people
16:15earning the maximum money they could?
16:17That's the point. No. Let me tell you
16:19the undeniable truth of history.
16:22Throughout human history, those with
16:23superior technology have always crushed
16:25those with low technology. From the
16:28Stone Age to the Bronze Age, from the
16:29Bronze Age to the Iron Age. It was
16:30always like this. Now we are in the era
16:32of artificial intelligence. As for the
16:34psychological relief part of it, as
16:35long as humans and their tools compete
16:37with other humans and tools, you are in
16:38the game. And in this game, you always
16:41need to trust yourself. But the day you
16:42try to challenge the machine, the day
16:44you try to challenge progress, you lose
16:46, and people say," The machine can
16:47never beat us at chess, it can never
16:48beat us at this. "" They said, and
16:50machines always won. Because it is
16:52always getting better. Just like how
16:54everyone initially opposed the
16:55autopilot in planes, saying, "It can't
16:57fly, it can't do it like a human," but
16:59now everyone uses it. The great
17:00resistance against artificial
17:02intelligence today is not due to a
17:03functional deficiency but entirely
17:05stems from people's egos and emotions.
17:07It will continue to do so, but let's
17:09get back to the main point. In a world
17:11where artificial intelligence is
17:13limitless and the cost of intelligence
17:14and labor has effectively dropped to
17:16zero, down to the electricity bill that
17:18powers it, the last valuable thing a
17:19person can offer to make money will be
17:21taking risks. This is the
17:23entrepreneurial spirit that belongs
17:24only to you, which no one can take away
17:26. Look, this is also why I think money
17:27will continue to exist. Because labor
17:29and muscle power will no longer have
17:31any value. So, I think this is where it
17:32gets difficult. This is where the
17:33challenges begin. Because you are
17:34facing something with infinite
17:35intelligence. With a robot that is
17:37stronger and faster than you and can
17:39work for just a 200 lira electricity
17:40bill a month, how will you add value to
17:42the market with your individual labor?
17:44It will be very difficult. My intention
17:46is not to scare you, either. Look,
17:47prepare yourself for tomorrow's world
17:49today. "I'm a small business owner.""
17:50I'm just a regular shopkeeper." Don't
17:52say, "Around here, not every company
17:53adopts technology, nor does it need to.
17:55" Do you use a smartphone? Do you send
17:58emails? Do you find customers on social
18:00media? Are you trying to find them? Do
18:02you post? It means the components of
18:04technology have already entered your
18:06life. Whether you accept it or not. The
18:08amount companies earn per employee is
18:10constantly increasing. It has to
18:11increase. What are the two things that
18:13increase production in the economy?
18:14Education and technology. We have a
18:16free workforce with infinite
18:17intelligence at our disposal, and there
18:18will be a massive explosion in the
18:19economy and production. Don't miss out
18:21on this. More companies will be founded
18:23, and while many traditional
18:24departments collapse, massive
18:25opportunities will arise in their place
18:27. So, after you've solved your
18:28operations so cheaply and quickly with
18:30AI, only one thing remains. I won't
18:32talk as if I know everything, but there
18:34is one thing I can clearly bet on. I
18:36can put my money here. You need to play
18:38the barbell strategy to prepare for the
18:40future. At one end, there is very high
18:42risk and high rewards. You need to be
18:44willing to do this. Because you know
18:46what; as long as you avoid this
18:47uncomfortable conversation, a startup
18:49that isn't afraid to have that
18:51difficult talk and tries to reduce
18:53operations to zero cost with AI will be
18:55born, emerge in your sector, and crush
18:57you in the market. And when that time
18:59comes, the risk that person took and
19:01the high reward will have torn you
19:02apart. On the other hand, there is that
19:04famous perspective of the world's
19:05greatest entrepreneurs, for example,
19:07the founder of Amazon. We shouldn't ask
19:09what will change in the next 10 years,
19:11but what will never change. What things
19:14will definitely continue to exist? For
19:16one thing, we all have a body and we
19:18know our physical needs will never end.
19:20We need to eat, drink, sleep, and so on
19:22. That is why the health, food, and
19:24sports sectors will always exist and
19:26have to continue existing. But do you
19:28know where the real bomb will go off?
19:30In this new world where humans are
19:31replaced by AI and robots, we will have
19:33more free time than ever before in
19:35history. That is my prediction. I
19:37believe that the following will
19:38definitely exist in the future. People
19:39will always need a home to shelter in,
19:41food to eat, and entertainment tools to
19:43kill time. I don't know which companies
19:45will win this journey, but these
19:47sectors will always exist and continue
19:48to do so. I am sure there are those
19:51among you who write doomsday scenarios,
19:53think about, or read articles saying, "
19:54What if the world turns upside down, AI
19:56takes over everything, and a handful of
19:58rich people who only invest in
20:00technology rule the world while the
20:01ordinary public suffers?" Now let's
20:04think about this. If such an
20:05environment of chaos occurs, nothing we
20:07worry about today will matter anyway.
20:09When that day comes, one cannot prepare
20:11for environments of chaos anyway. I am
20:12always a proponent of hoping for the
20:14best and being prepared for the worst.
20:17Be prepared for both sunny days and
20:18storms. I say be a four-season person,
20:21and if you do that, no matter what the
20:23market turns into tomorrow, your
20:25chances of success will always be high
20:27as long as we can adapt. And now I will
20:29try to present a very solid thought
20:30experiment that will bring you to your
20:32senses. There is a saying by a famous
20:34millionaire that I like on this subject
20:36. The thing people don't realize about
20:38AI is this. People have trained to swim
20:40their whole lives. First in shallow
20:42water, then in a pool, then in a lake,
20:44and finally, they learned to swim by
20:46struggling with those giant waves in
20:48the ocean. They did very well and
20:50people have become great swimmers now.
20:52Or they are working for this and
20:53continue to work. But do you know what
20:55the approaching technological change
20:57will bring? It's like the water
20:59suddenly starting to boil, evaporate,
21:00and disappearing while you are swimming
21:02right in the middle of the ocean. You
21:04are now in gas. How well you flap your
21:07arms, how good a swimmer you are, or
21:09how well you fight the waves will no
21:11longer matter. Because we are no longer
21:14in the water. We are heading to a world
21:16where we are not in the water. This is
21:17exactly the kind of breaking point we
21:19are at. But do not perceive this as
21:21pessimism. What I see here is a massive
21:23opportunity. Because most people are
21:25currently too sluggish to adapt to
21:27change. Most people will miss out on
21:29this shift. If you are watching this
21:30video right now, it means you are
21:31already ahead of a vast majority of
21:33society. Look at what people are
21:34watching in your YouTube explore tab,
21:36and what are you watching right now?
21:37And I know you have friends around you
21:39who still ignore the AI revolution,
21:41fail to adapt to this change, continue
21:43working in the old ways, and haven't
21:44yet faced the risk of losing their jobs
21:46—but they will. The rest have their
21:49heads in the sand, and there are plenty
21:50of people over 50 in the market saying,
21:52"I'm too old for these things." And do
21:54you know the bitter truth? All the
21:55money is with those people over 50. But
21:58very soon, because they cannot keep up
21:59with the change, those people over 50
22:01will realize in this revolution that
22:02those massive fortunes will not go to
22:04them, but to other places that adapt to
22:06this new system. This in itself is
22:07already a massive opportunity. There is
22:09an incredible goldmine in going to
22:11traditional businesses and automating
22:12their work. If people are used to
22:14paying 30-40,000 liras monthly to an
22:16outside party for a job, that price
22:17includes classic labor costs. And you
22:20can get that same work done for them
22:22using AI for just 500 or 50 liras, and
22:23sell it to them at a high price—even
22:25if it's lower than what they normally
22:26pay—with a high profit margin. First
22:29off, your profit margin in such a
22:30scenario would be massive. Second, and
22:32most importantly, since you get rid of
22:34the biggest costs of growth like
22:35dealing with people and ensuring that
22:37coordination, scaling your business
22:39becomes child's play. You proceed with
22:41a scheme like this. A single person can
22:43now generate or bring in millions of
22:45liras of revenue for a company. You
22:46might say, "Okay Gürkhan, we
22:47understood these and we're motivated,
22:49too." What do we do now? I’m giving
22:51you clear advice that you can apply
22:52immediately. Make a list of the tasks
22:54you perform as a standard every day.
22:55But don't just do it superficially. In
22:57minute detail: Do you write to
22:58customers on WhatsApp? Do you check
23:00their emails? Do you prepare their
23:02visuals? Are you running ads? Don't
23:04just say "I'm running ads" and leave it
23:06at that. Underneath that, there are
23:07many tasks like setting up campaigns,
23:09adjusting budgets, writing ad copy, and
23:11testing headlines. List these. Write
23:13all of these down one by one, and then
23:15take the first task on that list. Go to
23:16the AI and say, "Help me automate this,
23:19buddy." Ask, "What steps would you take
23:21if you were me?" and let it give you a
23:23neat list. Are you stuck? Take a
23:25screenshot, send it to the AI, and say,
23:28"What do I do now?""I'm stuck." It will
23:30tell you anyway. And do you know what
23:31the strangest thing is right now? We
23:32all have an AI mentor at our fingertips
23:35, available 24/7, just waiting for you
23:38to use it. In our own community, behind
23:40closed doors, we work every day exactly
23:43on the systems we describe. If you
23:45don't have a business to use AI for
23:46right now and are in the stage of
23:47building something from scratch, my
23:49advice to you is to start the Razor Kit
23:50journey. This way, you will have
23:52established a functional, working
23:54e-commerce operation within 28 days. I
23:55am putting the link below. I will
23:57continue to share details and
23:58opportunities about this. I’ll leave
24:00a link for this below the video or on
24:02the screen. Anyway, in short, I wish
24:04you the best and I hope that in this
24:06new world order, you will be on the
24:07lasting and wealthy top side, not the
24:09fading bottom. I hope you succeed. May
24:12abundance be with you. Take very good
24:13care of yourselves. See you later.

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