# The 'AI layoffs' have begun... Here's how to protect yourself

## Метаданные

- **Канал:** Luke Alexander AI
- **YouTube:** https://www.youtube.com/watch?v=kh420dd5D5Q
- **Дата:** 10.03.2026
- **Длительность:** 21:35
- **Просмотры:** 108
- **Источник:** https://ekstraktznaniy.ru/video/11000

## Описание

How to make money with AI in 2025: https://youtu.be/Tx8g3vlKd64

Learn how to make $30-50k/month with AI: https://www.goinsiders.ai

IG @lukealexxander
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#ai #n8n #aiautomation

## Транскрипт

### Segment 1 (00:00 - 05:00) []

So, a week ago, Jack Dorsey, the founder of Block, who runs Square, Cash App, a bunch of financial services, uh, apps and software, cut, I think, 50% of their workforce all at once suddenly. And he released a tweet about it detailing why. So, as you can see here on X. com, their stock surged. Now, why is this? Why? Why is firing half of your company? I think this is the original tweet of why he's doing it. Why is that making stock go up? And why am I even telling you about this in this video? It's because this is going to be the new normal. We've been talking about AI replacing people and the fear that comes from this for quite a while, for about the last year, and it's finally happening. Okay, Amazon just laid off 3,000 people. Square just let go of most of their people. X when it was acquired let go of like 95% of their workforce. This is the new normal and if you're not AI first as an individual, as a person, you unfortunately will probably get laid off if you work a job right now. So, in this video, I want to show you what the alternate path is. What we've been doing for the last year, helping hundreds of people become AI first, actually know how to use these tools, because if you fight it, you're going to get run over. This is the same as the internet coming along. industrial revolution and factories happening and people that didn't adapt died and I don't want that to happen to you guys. So we're going to go over this. So they laid off across a bunch of different companies. Uh Block, Google, Meta, Microsoft, Amazon, Dualingo, IBM, why they obviously have state reasons. So Block AI productivity gains, we don't need you. AI does the work. Google AI restructuring, Meta Year of Efficiency, it's AI. Microsoft AI replacing roles. Amazon automation and AI systems replacing roles. On and on. And guys, this is not a fluke. This is a shift. This is a turning point in history of 2026. Really is probably going to be the year that we look back and we go, "Oh, everything changed that year. " Kind of like what happened in 2020. Okay. AI is smarter than you. It is cheaper more efficient than you. And so companies that have stock and have a board and have investors, they want better gains. And to get better gains, they need better efficiency. They need more profitability. They need more output. Now, the best way to do that is AI. And this will continue to happen. Goldman Sachs, for example, we put this in a VSSL a year ago, uh, has said 300 million full-time jobs will be automated globally. There are like 350 million Americans. Okay, this is probably an understatement. The World Economic Forum says 92 million jobs will be displaced by 2030. This is not a fluke. This is not hype. This is not me fear-mongering you. This is the brutal reality. Now, this isn't one of these educational videos, but it's pretty important if you're not AI first yet. So, there, as I see it, there are two ways forward, okay, from what is going to be happening. Path A is employees or some low-level freelancer. You're going to wait and hope that your role survives. If this is anything white collar, that is not plumbing or construction or physical labor, you're getting replaced. To be quite frank, your income equals your time. Your ceiling is whatever your employee pays, your employer pays. The risk of you having this job is you're one restructuring, one AI revolution away from being replaced. Then we have path B, which is what I believe and what other smart people like I've seen Mark Cuban say this. I saw the founder of Google save us. AI won't necessarily take your job, but someone that uses AI will take your job. Sergey Bren from Google said that at a podcast here in Miami. The next path, and really the only way I see forward to have real job security is building a business that uses AI as leverage. Your income then therefore is whatever the outcomes you deliver. Your ceiling is however many clients or businesses that you serve. And the risk is, hey, am I going to work this month? you know, like you control your own fate and the AI is your team. So, what is the AI operator model? We've been teaching this for again, like I said, the past year. We have students currently doing between $100,000 a month and a million dollars a month doing this. Uh, proven. You can go look at our website. It's not laring. Um, it's very very high level usage of AI. You're basically becoming an a AI first individual. You're building a business around AI and you're helping businesses achieve the same outcomes that they've wanted for years with AI, sales marketing systems. Okay? You're not a consultant because again, you're you've not been an AI master for years. We're not going to be a consultant. You're not a developer. You don't need to become a developer because the AI is replacing all the developers. Uh you're not an AI automation agency. This is commodity work. So these things like receptionists and voice agents, it's not a good service to sell and you're not a

### Segment 2 (05:00 - 10:00) [5:00]

freelancer selling hours on Upwork doing menial just kind of repetitive tasks. AI operating is basically a business operator who uses AI as leverage. Someone who delivers finished highv value outcomes again around the same things that businesses have always wanted. So sales marketing systems, you're paid on results, not hours, which means your income is a lot higher and you're running a productized service that compounds over time. The longer you run this business, the more efficient you become. The better you become with AI, more profitable you are, the better your life is. Okay? The simplest way to think about it is you're not selling AI. You're selling what AI enables you to deliver. The AI is invisible. That's the workforce like orchestration layer in your business. The result is what the client pays for. And this is where a lot of people go wrong in this model. So this traditionally was called an agency. Okay? An agency was I would sell a service. I would have a high headcount to deliver that service manually. We would have low margins. We'd have a lot of people because obviously if we clients, we have to have a lot of people to match that. And it's not really scalable. Okay. Now you have an AI native agency. So we call this AI operating. That's just our simple term here. You're selling outcomes. Okay? So results. Revenue is tied to systems. You're productized. It's repeatable delivery delivery. So for example, let's say I run a AI content business. So we do content for SAS companies for e-commerce brands. Maybe we do launch videos, you know, whatever. Doesn't matter. It's the same thing every time. So you can systemize, you can build AI systems that achieve that outcome that the customer is paying you for every time. That means you can do this a lot. You don't have to hire a lot of people. You can kind of just sell as much as you want and you can handle all the work that you're selling, which you couldn't do in the old model. Okay? You have really high margins. You scale by improving your own systems and your own AI usage. And it is indefinitely sustainable. And it will only probably get better over time. Um, I don't think there becomes a point where people that use AI are replaced. Like it's a tool at the end of the day. Now, will AI replace like your low-level workers? Yes. Like your white collar office jobs? Yeah, 100%. But will it replace like highlevel outcome driven things? No, I don't think so. And so, basically what AI has done is it has flipped this equation of what leverage is now. Leverage is now AI. If you're better at AI than your competitor, that means you have more output. You're more efficient. You get better results. Therefore, you win, right? That's how capitalism works. AI does the execution. You do the strategy, you do the quality control, you're the one doing the relationships, the sales, you know, talking to people, but the delivery becomes repeatable. That way, your margins are software-like. Your delivery is software-like, but you're not building software. You're running a simple service-based business. So, let's look at the math here. If you want to make $50,000 a month, that's five clients paying you 10K a month. Okay. Now, what do I need to deliver and we're just going to say your service here is anything because again, there's a million things you can do. The tools that you would be using about 500 bucks a month. Claude Max is 200 bucks. Claude or GBT codeex is 20 bucks a month. Co-work comes with that in the cloud version. Maybe you have like some Google studio tools. Maybe you use some creative generative AI, but like most of this is covered with this. It's about 500 bucks. Labor is minimal. That's maybe you and one virtual assistant if you want an actual person to do these things and not automated with AI. So, you would profit in this case $45,000 a month. Realistically, by the way, these are like real examples coming from our community. So, you're high margin and you're working like 23 hours a week. Traditionally, if you want to make 50 grand a month, you're like a partner at like a private equity company doing spreadsheets or you're in finance or you're a doctor or you're something like that. But now, by buying a couple hundred of AI subscriptions a month, you can use those tools to create enough value for businesses that they will pay you $50,000 a month. If you don't believe me, I and hundreds of my students have literally been doing this the last two years. This is not new. You can go look at the rest of his channel. You can go to go. goinssiders uh. ai. Go look at all the results. We document all of this. That is what leverages. Okay. And that's what you have to do. You're deploying a $200 a month tool to do the work that used to cost 30 to 50,000 a year in salaries. Okay. The average salary in the US like for a real job, not like minimum wage, is probably about like450 $60,000 a year. I can now replace most of those people with a $200 a month AI tool. Okay, that's crazy. And not only that, Y Combinator, who is a giant VC fund, so they've invested in companies like Airbnb, Stripe, Dropbox, Reddit, you know, they kind of know their They are also promoting this model now.

### Segment 3 (10:00 - 15:00) [10:00]

YC released and we made a big video about this. YC released a whole article saying we are in investing in AI native agencies now. So the big money where they have to beat the market. That's basically how Y cominator works. They get money from LPs which are the people with all the money. So think of like a u like mutual funds or pensions or like the teachers pension or whatever. They give the money to firms like YC to go beat the market and get a better return on that capital than you would get investing in like the S& P 500. So they need to basically invest in companies that are going to go to a billion dollars and be a unicorn and make a ton of money so they get that return. Okay, it's just a math equation. They're telling you to do this now. Okay, so here's the three pillars of what you actually deliver. Just so I'm not being high level here. It's super simple. We're not reinventing the wheel. We are still doing business. We're running a service-based outcomebased business. We're just using AI to do all the work. Okay, that's in simple terms. So, pillar one, sales. Every business ever will need sales for the rest of time. So, what could this be? Sales team management. That's kind of what my company does. Kendo, we build a software to fix the sales problem with AI, right? It's a good example. Transcripts and analysis, close rate improvement. We do all of this. this at Kendo. But you can also do this all manually, right? So outcomes here would be, hey, I'm going to increase your close rate from 20 to 35% in 60 days with this system. Now, what's this system? It's your internal AI stuff. Call reviews, maybe use something like Kendo. uh you're you're more efficient, you're training the reps better, their close rate goes up, the company makes more money, you take a percent. Pretty easy. Marketing again, never going to change. VSSLs, funnels, copywriting, content, uh landing pages, webinars, like full marketing systems, GTM engineering, which is like for this big thing now for SAS companies, like how do I actually use AI to go get customers? Never going to go away. Again, same thing. I'm going to build and run a content engine that produces 30 pieces of platform specific content per week from a single raw recording so that you can stay omnipresent all over your social media without actually doing anything. We're going to do it for you. Is that worth it to a company? Absolutely. And finally, systems. Okay, so automation, being more efficient, analytics, data reporting, onboarding, uh internal tool buildouts. Like I just built an internal AI SDR for my software company so that we don't need to hire SDRs and my AEES can just get warm leads pushed into their CRM and it works. It works beautifully. Okay, that would have cost me like probably realistically like $150,000 a year in base salaries for these SDRs if I would have hired traditionally. But again, we're AI first, so we do it with AI. So an example here of outcome would be hey I'm going to automate 20 hours a week of repetitive operations so that you guys can just do the high lever stuff of sales marketing whatever I'll handle all the systems you know now there is a wrong way to do this which is like oh I sell AI automation it's a commodity no one knows what that means anyway and you're competing with like third world VAS on Upwork that charge 20 bucks an hour okay you don't want to compete there right way is I'm going to raise your close rate I'm going to increase your show um get you a billion views this year. I'm going to do whatever some outcome that is specific, has a mechanism, and is resultsbased. That way, I can take a percentage of the upside that I make my customer and I make a ton of money. For context, about a year ago, we managed a very big launch for a info product. Okay? Now, and I'm using info as an example. You can work with SAS companies, enterprises, doesn't matter. I just come from info. So, info is courses and coaching if you're unfamiliar. We did $4. 5 million collected in a week for our client. We got paid about $300,000 after paying out my sales reps. I pocketed a very nice check for a week worth of work because I got a percentage of the results we generated. So, here's how to build an AI operating business. Now, I will tell you obviously this is not a 5-hour long video. I'm going to skim over this and I recommend you screenshot this. But what you should do really if you're interested is go watch all the videos we have on this channel about this and then if you're interested, book a call with us because we run a live coaching program where we do live coaching and we have a ton of recorded content about exactly how to do this. That's where all these results that I'm mentioning come from. Okay, so number one is you're going to pick your niche. These are some of the best niches that we recommend because they're the most profitable. You don't want to do local businesses. startups with no revenue. Uh, you want to do established companies that are ready to spend. So, info, ecom, SAS, agencies, other online businesses. Okay, pretty simple. Next, your service. Pick a pillar. So, sales, marketing, or systems, and then figure out a service within that. If you have experience with something, awesome. If you don't, just pick something that interests you, you know? So, sales services, marketing services, systems. And again, all of this is done with AI. Number three is you're going to craft your offer. And so

### Segment 4 (15:00 - 20:00) [15:00]

there's a formula for this which is I and this is for you in your head. Okay, you're not going to say this to people, but I fix specific problem for a specific business type using mechanism which gets outcome. That's the formula. It's like X + Y equals whatever, right? So what they get, how long it takes, what's its worth to them, what you charge. This is very simple. So for Kindo, for example, I will fix your close rate. I will uh increase your ramp up time. I'll make you ramp up reps a lot faster and I'll save you hours per day in management and we're going to make you a ton of money because your reps are going to perform better. You're able to review every call. You get all the data from what's happening inside of those calls and you no longer are struggling running around trying to manage your large sales team because it's all done with AI. That's what Kendo does. Okay. Then price for value. There's two ways to price or technically three. Onetime setups. So these are project based jobs. Okay. So like a funnel buildout, CRM buildout, like a website, a VSSL, whatever. That's a one-time thing. Then you have a retainer. So this would be for like ongoing things. So creation of content, ads management, email sequences, you know, things that I'm consistently doing month over month. And then rev share. This is where you want to get to. Take a percentage of the upside you generate. So this is aligned with both outcomes. So if I go to a business and I say, "Hey, I'm really confident I can do this for you. don't pay me anything, but like let's do this. Um, if I make you X, I want X percent. Okay, deal. Or you get really good. You say, "Hey, you're going to give me 10 grand as a setup fee. We'll build out all this and then on launch when we get the result, I want X percent. " A lot of our students do that as well. Uh, it's a very, very good model. Finally, landing your client. Now, this is easier than ever with AI. I'm again building outbound AI systems. I'm not going to show you how to do that in this video, but use your brain and you can figure it out. Okay? So, you're going to figure out where to find clients, who is your ideal client, where do they live, how do I get in front of them, and then how do I do outreach? Okay, and your outreach should follow this system. Then you're going to deliver the work with AI. So, Claude, long form copy, strategy, coding, uh, chat, GBT, codeex, coding, really good. Gemini research brainstorming the creative suite they have um Sora and V3 video generation inn is for like back-end automation workflows if you're not building a real application and you just figure out what tool best with like fits for the thing you're trying to do and you just buy the tools and you set up a system that's repeatable and then you do what's called productizing it where it's the same thing every time and then you do outreach and then you're literally at the point where you get five clients doing 10k a month you're making 50k a month and you're not working very That's the AI operator model in a nutshell. Obviously, you got to know what you're doing, but like we're literally printing money with this, okay? I'm trying to help you and I'm trying to tell you this. I know it's hard to trust people online, but I'm telling you, like this is the best thing ever. Okay? Now, this happens often, and I want you to understand where we're at in this right now. So, we got the internet in the 1990s. Then we got like e-commerce was a huge thing, right? Amazon. Then we had the SMMA thing. Now we have the AI operator model. Okay, it's going to consistently eb and flow. This will always cycle like history repeats itself. But right now we have a great great window where these companies are really desperate like really desperate for becoming AI first. They are feeling pressure from their management or from top down to get AI first and they have budgets to spend to do things with AI and they need people that know what they're doing. They can't go hire college graduates to do AI for them. These people are retards. They don't know anything. Okay? They're going to hire people like you and I. Like the enterprises that are paying me 20 grand a month for Kindo. It's because they know they need to get AI first. They want to be more efficient in their sales team. So, they're going to pay for it. They get a great return. You need to be that guy or girl that does this. This is how you make a lot of money in the next couple years. And you don't worry about AI replacing you. I'm dead serious. So, the bottom line is this. The economy is restructuring. If you can't see that, you're screwed anyway. I'm trying to help you see that. Companies are cutting jobs because of AI. And this is just the start. It's going to get worse and it's going to this is reality. Okay. So if you don't know what exponential means, so the internet was kind of like this and then the internet obviously boomed and now we're kind of like petering out whatever, right? And then it'll eventually flatline. So that's the internet right now with AI. The problem with AI is it's selfimproving. And so when AI gets good enough, which we're already there, like I think it's like not conscious like a human, but it is probably aware of itself now. We won't get into that. That's a whole crazy conversation. AI is going to do this. Okay. So if this was year 1 and this was year 20, AI will not

### Segment 5 (20:00 - 21:00) [20:00]

get to year 20 when it goes to peak. It will just jump there overnight. Realistically, this is how it will go. We're probably like right here. I would say right now like you are here. 2027, 2028, 2030, we're going to be up here. So, you got to go fast. Uh, you're early. That's the good news. But, you got to go fast. Like, you got to take this serious. If you're watching this video right now and you're not going all in on AI, you're screwed. I I'm really serious. I'm not saying you have to buy our coaching program or something. And I'm telling you this genuinely from being an expert in this thing and doing nothing but playing with these tools every day. I'm telling you even YC was a few years late to this. We have been doing this for two years. We beat them to it. They wanted to see it validated first. Okay. And that's why we have students doing 30K, 100K, 200K, million a month doing exactly this. Okay? We have proven it and it's early. You are early. So watch this video. Go watch the rest of the videos on this channel. If you want coaching from us, we've had a bunch of people join in the last week. It is not cheap. It is not for everybody. It is a yearly mastermind where we keep things updated. Every time something new comes out with AI, we're posting about it. Um, check out there's either a link in the description or in like the bio of the YouTube channel. Book a call. It'll probably be with me. I'm just going to screen you. See if you're a good fit. Again, it's not cheap, so make sure that you're ready to invest into yourself for something like this. But we have amazing results. We have five stars on Everyone loves it. uh they're crushing. So, we will get UA first.