The Fed Chair Just Admitted The Jobs Aren't Coming Back — Here's What Happens To Your Career Next

AI has already changed the world in a AI has already changed the world in a way that most people simply do not way that most people simply do not way that most people simply do not understand yet. Last month, the chair of understand yet. Last month, the chair of understand yet. Last month, the chair of the Federal Reserve walked up to a the Federal Reserve walked up to a the Federal Reserve walked up to a podium and admitted what most people podium and admitted what most people podium and admitted what most people could already feel. could already feel. could already feel. >> Effectively, there's zero net job >> Effectively, there's zero net job >> Effectively, there's zero net job creation in the private sector. creation in the private sector. creation in the private sector. >> That's a direct quote. He didn't say >> That's a direct quote. He didn't say >> That's a direct quote. He didn't say growth slowed. He didn't say we had a growth slowed. He didn't say we had a growth slowed. He didn't say we had a soft patch. He said we had zero growth. soft patch. He said we had zero growth. soft patch. He said we had zero growth. December jobs have been revised to a December jobs have been revised to a December jobs have been revised to a loss. The gains the public were told we loss. The gains the public were told we loss. The gains the public were told we had in January were actually off by had in January were actually off by had in January were actually off by 69,000. 69,000. 69,000. In February, the economy shed 92,000 In February, the economy shed 92,000 In February, the economy shed 92,000 jobs. And when you add it all up, 2025 jobs. And when you add it all up, 2025 jobs. And when you add it all up, 2025 was the weakest year for job growth was the weakest year for job growth was the weakest year for job growth outside of a recession since 2003. Now, outside of a recession since 2003. Now, outside of a recession since 2003. Now, there are two possible explanations for there are two possible explanations for there are two possible explanations for what's happening. The first is this is what's happening. The first is this is what's happening. The first is this is just a natural cycle. There's a ton of just a natural cycle. There's a ton of just a natural cycle. There's a ton of uncertainty right now in the global uncertainty right now in the global uncertainty right now in the global economy and the street rewards companies economy and the street rewards companies economy and the street rewards companies that are fiscally disciplined so that are fiscally disciplined so that are fiscally disciplined so companies cut. Now, if that's true, the companies cut. Now, if that's true, the companies cut. Now, if that's true, the jobs will come back as they always do. jobs will come back as they always do. jobs will come back as they always do. But the second explanation is that But the second explanation is that But the second explanation is that something structural has changed. People something structural has changed. People something structural has changed. People are being replaced by AI that is getting are being replaced by AI that is getting are being replaced by AI that is getting cheaper, faster, and better by the cheaper, faster, and better by the cheaper, faster, and better by the minute. By the end of this video, you're minute. By the end of this video, you're minute. By the end of this video, you're going to know exactly which one of those going to know exactly which one of those going to know exactly which one of those is based on the actual data. I'm going is based on the actual data. I'm going is based on the actual data. I'm going to show you what it means for your job, to show you what it means for your job, to show you what it means for your job, your income, and your options, and your income, and your options, and your income, and your options, and exactly what you can do about it. I'm exactly what you can do about it. I'm exactly what you can do about it. I'm going to prove all of that in four going to prove all of that in four going to prove all of that in four parts. Part three is my most dire parts. Part three is my most dire parts. Part three is my most dire warning, so do not skip that. Welcome to warning, so do not skip that. Welcome to warning, so do not skip that. Welcome to part one. You're being force-fed part one. You're being force-fed part one. You're being force-fed narratives. Plan based on the data. Mark narratives. Plan based on the data. Mark narratives. Plan based on the data. Mark Andre co-invented the web browser. He Andre co-invented the web browser. He Andre co-invented the web browser. He manages today over $90 billion in assets manages today over $90 billion in assets manages today over $90 billion in assets at one of the most influential venture at one of the most influential venture at one of the most influential venture firms on Earth. And recently he went on firms on Earth. And recently he went on firms on Earth. And recently he went on record saying that all of the supposed record saying that all of the supposed record saying that all of the supposed AIdriven layoffs are, and I quote, AIdriven layoffs are, and I quote, AIdriven layoffs are, and I quote, >> "This entire labor displacement thing is >> "This entire labor displacement thing is >> "This entire labor displacement thing is 100% incorrect. It's completely wrong." 100% incorrect. It's completely wrong." 100% incorrect. It's completely wrong." >> Now, he's got a point, but he also has >> Now, he's got a point, but he also has >> Now, he's got a point, but he also has an incentive or at least a blind spot. an incentive or at least a blind spot. an incentive or at least a blind spot. Here's his argument. Between 2020 and Here's his argument. Between 2020 and Here's his argument. Between 2020 and 2022, companies went on a hiring binge. 2022, companies went on a hiring binge. 2022, companies went on a hiring binge. It's very true. Co forced everyone to It's very true. Co forced everyone to It's very true. Co forced everyone to work remotely, but remote work kills work remotely, but remote work kills work remotely, but remote work kills discipline and productivity. But money discipline and productivity. But money discipline and productivity. But money was essentially free given that interest was essentially free given that interest was essentially free given that interest rates were near zero. So companies just rates were near zero. So companies just rates were near zero. So companies just threw headcount at the problem. It threw headcount at the problem. It threw headcount at the problem. It actually became a kind of vanity metric. actually became a kind of vanity metric. actually became a kind of vanity metric. How many employees you could rack up. How many employees you could rack up. How many employees you could rack up. Tech companies in particular ballooned Tech companies in particular ballooned Tech companies in particular ballooned their workforces in ways that made no their workforces in ways that made no their workforces in ways that made no fundamental business sense. Then fundamental business sense. Then fundamental business sense. Then interest rates went from zero to 5% in interest rates went from zero to 5% in interest rates went from zero to 5% in just 3 years. It was the fastest rate just 3 years. It was the fastest rate just 3 years. It was the fastest rate increase in modern history. Suddenly, increase in modern history. Suddenly, increase in modern history. Suddenly, every large company had to completely every large company had to completely every large company had to completely replan their finances and the cost of replan their finances and the cost of replan their finances and the cost of carrying all those extra bodies became carrying all those extra bodies became carrying all those extra bodies became impossible to justify. But laying people impossible to justify. But laying people impossible to justify. But laying people off because you overhired is terrible off because you overhired is terrible off because you overhired is terrible optics. And if you're a public company, optics. And if you're a public company, optics. And if you're a public company, it could be bad for the share price. But it could be bad for the share price. But it could be bad for the share price. But if you can cut the staff and say it's if you can cut the staff and say it's if you can cut the staff and say it's because you're using AI, the street because you're using AI, the street because you're using AI, the street loves it. They assume you're just being loves it. They assume you're just being loves it. They assume you're just being disciplined while also planning for disciplined while also planning for disciplined while also planning for future growth. And thus, many companies future growth. And thus, many companies future growth. And thus, many companies using this playbook saw their shares go using this playbook saw their shares go using this playbook saw their shares go up in value. And Dreon's argument is up in value. And Dreon's argument is up in value. And Dreon's argument is that the layoffs you're seeing that are that the layoffs you're seeing that are that the layoffs you're seeing that are being blamed on AI are actually just being blamed on AI are actually just being blamed on AI are actually just companies finally addressing some companies finally addressing some companies finally addressing some previous bad decisions from COVID, previous bad decisions from COVID, previous bad decisions from COVID, finally rightsizing their company, and finally rightsizing their company, and finally rightsizing their company, and then using the AI excuse as good PR. He then using the AI excuse as good PR. He then using the AI excuse as good PR. He estimates that the majority of large estimates that the majority of large estimates that the majority of large companies are still overstaffed by 25%. companies are still overstaffed by 25%. companies are still overstaffed by 25%. Some are overstaffed by 50% and a Some are overstaffed by 50% and a Some are overstaffed by 50% and a handful are overstaffed by 75%. handful are overstaffed by 75%. handful are overstaffed by 75%. And he believes that AI is just the And he believes that AI is just the And he believes that AI is just the silver bullet excuse as he calls it. The silver bullet excuse as he calls it. The silver bullet excuse as he calls it. The clean narrative that lets executives clean narrative that lets executives clean narrative that lets executives avoid admitting they hired recklessly avoid admitting they hired recklessly avoid admitting they hired recklessly during co. It's a compelling argument if during co. It's a compelling argument if during co. It's a compelling argument if you just glance at the data, but not if you just glance at the data, but not if you just glance at the data, but not if you look at it deeply. New York became you look at it deeply. New York became you look at it deeply. New York became the first state to require companies to the first state to require companies to the first state to require companies to disclose whether AI contributed to their disclose whether AI contributed to their disclose whether AI contributed to their layoffs. They added it to the warn layoffs. They added it to the warn layoffs. They added it to the warn filings that they require companies to filings that they require companies to filings that they require companies to file when they're about to lay people file when they're about to lay people file when they're about to lay people off. Of the 162 companies that filed off. Of the 162 companies that filed off. Of the 162 companies that filed notices, the overwhelming majority of notices, the overwhelming majority of notices, the overwhelming majority of them gave no indication that AI was the them gave no indication that AI was the them gave no indication that AI was the reason, but many did cite the general reason, but many did cite the general reason, but many did cite the general economy. And that's why I think Andre is economy. And that's why I think Andre is economy. And that's why I think Andre is right about many companies right now right about many companies right now right about many companies right now making noise to the public saying that making noise to the public saying that making noise to the public saying that it's about AI, but when they go talk to it's about AI, but when they go talk to it's about AI, but when they go talk to regulators, they actually leave AI out regulators, they actually leave AI out regulators, they actually leave AI out of the discussion altogether. They want of the discussion altogether. They want of the discussion altogether. They want investors to believe that they're being investors to believe that they're being investors to believe that they're being disciplined. But when they're talking disciplined. But when they're talking disciplined. But when they're talking about legal documents and regulators, about legal documents and regulators, about legal documents and regulators, all of a sudden it's the economy and all of a sudden it's the economy and all of a sudden it's the economy and market conditions. But pointing out that market conditions. But pointing out that market conditions. But pointing out that companies would do that is far different companies would do that is far different companies would do that is far different than saying AI simply isn't impacting than saying AI simply isn't impacting than saying AI simply isn't impacting the job market now and into the future, the job market now and into the future, the job market now and into the future, which it most certainly is. Because when which it most certainly is. Because when which it most certainly is. Because when you dig into the question of whether or you dig into the question of whether or you dig into the question of whether or not AI is impacting the job market, the not AI is impacting the job market, the not AI is impacting the job market, the data starts telling a very clear story. data starts telling a very clear story. data starts telling a very clear story. It is completely transforming the job It is completely transforming the job It is completely transforming the job market already. And AI is just getting market already. And AI is just getting market already. And AI is just getting warmed up. Here's what we know already. warmed up. Here's what we know already. warmed up. Here's what we know already. A team at Stanford tracked employment in A team at Stanford tracked employment in A team at Stanford tracked employment in AI exposed occupations from the moment AI exposed occupations from the moment AI exposed occupations from the moment Chat GPT launched in November of 2022 Chat GPT launched in November of 2022 Chat GPT launched in November of 2022 through early 2026. What they found was through early 2026. What they found was through early 2026. What they found was a 16% relative decline in employment for a 16% relative decline in employment for a 16% relative decline in employment for workers between 22 and 25 years old in workers between 22 and 25 years old in workers between 22 and 25 years old in the most AI exposed roles. Entry-level the most AI exposed roles. Entry-level the most AI exposed roles. Entry-level software developers are down roughly software developers are down roughly software developers are down roughly 20%. Call center workers are down 15%. 20%. Call center workers are down 15%. 20%. Call center workers are down 15%. mid-career workers, they were flat. Now, mid-career workers, they were flat. Now, mid-career workers, they were flat. Now, this kind of loss in the entry level, this kind of loss in the entry level, this kind of loss in the entry level, flat at the middle, job restructuring is flat at the middle, job restructuring is flat at the middle, job restructuring is the kind of thing that nobody holds a the kind of thing that nobody holds a the kind of thing that nobody holds a press conference about. It doesn't move press conference about. It doesn't move press conference about. It doesn't move a stock price. These are just positions a stock price. These are just positions a stock price. These are just positions that get identified as low productivity that get identified as low productivity that get identified as low productivity jobs and they stop getting filled. No jobs and they stop getting filled. No jobs and they stop getting filled. No big deal for the company, but for people big deal for the company, but for people big deal for the company, but for people trying to get into the workforce or trying to get into the workforce or trying to get into the workforce or trying to work their way up, it's trying to work their way up, it's trying to work their way up, it's devastating. And that is exactly the devastating. And that is exactly the devastating. And that is exactly the pattern that you'd expect to see if AI pattern that you'd expect to see if AI pattern that you'd expect to see if AI is being used as a tool by the most is being used as a tool by the most is being used as a tool by the most intelligent, most productive workers in intelligent, most productive workers in intelligent, most productive workers in an organization. If AI were truly an organization. If AI were truly an organization. If AI were truly autonomous, you'd actually see a autonomous, you'd actually see a autonomous, you'd actually see a different pattern. But it's not different pattern. But it's not different pattern. But it's not autonomous yet. As of today, AI is best autonomous yet. As of today, AI is best autonomous yet. As of today, AI is best thought of as an amplifier, but you only thought of as an amplifier, but you only thought of as an amplifier, but you only give an amplifier to people who are give an amplifier to people who are give an amplifier to people who are already performing well. And if that's already performing well. And if that's already performing well. And if that's true, then we'd expect the data to show true, then we'd expect the data to show true, then we'd expect the data to show that senior level workers have more that senior level workers have more that senior level workers have more employment opportunities now than before employment opportunities now than before employment opportunities now than before AI. And lo and behold, that's exactly AI. And lo and behold, that's exactly AI. And lo and behold, that's exactly what the data shows. Just at the very what the data shows. Just at the very what the data shows. Just at the very moment that entrylevel jobs are moment that entrylevel jobs are moment that entrylevel jobs are beginning to disappear and mid-level beginning to disappear and mid-level beginning to disappear and mid-level jobs are growing stagnant, senior level jobs are growing stagnant, senior level jobs are growing stagnant, senior level positions are growing. Give an amplifier positions are growing. Give an amplifier positions are growing. Give an amplifier to a senior level employee and the to a senior level employee and the to a senior level employee and the productivity increases that you're productivity increases that you're productivity increases that you're likely to get mean you need fewer people likely to get mean you need fewer people likely to get mean you need fewer people to get more done. AI is just absolutely to get more done. AI is just absolutely to get more done. AI is just absolutely gobbling up those entry level and gobbling up those entry level and gobbling up those entry level and mid-level jobs like a parallegal. The mid-level jobs like a parallegal. The mid-level jobs like a parallegal. The bottom rung of the cognitive labor bottom rung of the cognitive labor bottom rung of the cognitive labor market, the people whose job consists market, the people whose job consists market, the people whose job consists mostly of grunt execution of a task that mostly of grunt execution of a task that mostly of grunt execution of a task that was figured out and systematized by was figured out and systematized by was figured out and systematized by somebody else but still needs to be somebody else but still needs to be somebody else but still needs to be executed on. That's just started executed on. That's just started executed on. That's just started disappearing wholesale from the disappearing wholesale from the disappearing wholesale from the workforce. But that's exactly how people workforce. But that's exactly how people workforce. But that's exactly how people get started and they start moving and get started and they start moving and get started and they start moving and it's just going away. This stark reality it's just going away. This stark reality it's just going away. This stark reality is starting to give us a glimpse into is starting to give us a glimpse into is starting to give us a glimpse into what's going to happen to the labor what's going to happen to the labor what's going to happen to the labor market. So whether Andre is right or not market. So whether Andre is right or not market. So whether Andre is right or not about some of the more high-profile about some of the more high-profile about some of the more high-profile layoffs, the structural change that AI layoffs, the structural change that AI layoffs, the structural change that AI is already bringing to the workforce is is already bringing to the workforce is is already bringing to the workforce is visible right there in the data for visible right there in the data for visible right there in the data for anyone to see. Even if AI ends up anyone to see. Even if AI ends up anyone to see. Even if AI ends up creating more jobs than it destroys, creating more jobs than it destroys, creating more jobs than it destroys, which I don't actually believe, but which I don't actually believe, but which I don't actually believe, but that's a question of time scale for now. that's a question of time scale for now. that's a question of time scale for now. Even if we assume that it's true and AI Even if we assume that it's true and AI Even if we assume that it's true and AI is going to create more jobs, the jobs is going to create more jobs, the jobs is going to create more jobs, the jobs that it creates will be on a totally that it creates will be on a totally that it creates will be on a totally different kind of career ladder, the different kind of career ladder, the different kind of career ladder, the world in the near future simply isn't world in the near future simply isn't world in the near future simply isn't going to look anything like it does now. going to look anything like it does now. going to look anything like it does now. Welcome to part two. The first Welcome to part two. The first Welcome to part two. The first billiondoll oneperson company is already billiondoll oneperson company is already billiondoll oneperson company is already being built. In 2024, the CEOs of the being built. In 2024, the CEOs of the being built. In 2024, the CEOs of the world's most powerful AI companies world's most powerful AI companies world's most powerful AI companies created a betting pool. This is a real created a betting pool. This is a real created a betting pool. This is a real story. Their wager that AI was becoming story. Their wager that AI was becoming story. Their wager that AI was becoming so powerful that it was only a matter of so powerful that it was only a matter of so powerful that it was only a matter of time before it allowed a single person time before it allowed a single person time before it allowed a single person to build a billion-dollar company. The to build a billion-dollar company. The to build a billion-dollar company. The bet wasn't a question of if it would bet wasn't a question of if it would bet wasn't a question of if it would happen, but only when. They may have happen, but only when. They may have happen, but only when. They may have just gotten their answer. In September just gotten their answer. In September just gotten their answer. In September of 2024, a guy named Matthew Gallagher of 2024, a guy named Matthew Gallagher of 2024, a guy named Matthew Gallagher launched a teleaalth company called launched a teleaalth company called launched a teleaalth company called Medvy out of his living room with no Medvy out of his living room with no Medvy out of his living room with no employees and only $20,000 in startup employees and only $20,000 in startup employees and only $20,000 in startup capital, far less than most young people capital, far less than most young people capital, far less than most young people have just in student loans. There was no have just in student loans. There was no have just in student loans. There was no venture capital involved. He had a venture capital involved. He had a venture capital involved. He had a laptop and roughly a dozen AI tools. In laptop and roughly a dozen AI tools. In laptop and roughly a dozen AI tools. In 2025, his first full year in business, 2025, his first full year in business, 2025, his first full year in business, Gallagher and his AI team generated $41 Gallagher and his AI team generated $41 Gallagher and his AI team generated $41 million in revenue at a $16.2% net million in revenue at a $16.2% net million in revenue at a $16.2% net profit margin. That would be extremely profit margin. That would be extremely profit margin. That would be extremely rare for any company. So, the fact that rare for any company. So, the fact that rare for any company. So, the fact that it was achieved by one guy and his AI it was achieved by one guy and his AI it was achieved by one guy and his AI crew is absolutely insane. And given how crew is absolutely insane. And given how crew is absolutely insane. And given how quickly he amassed that revenue and how quickly he amassed that revenue and how quickly he amassed that revenue and how profitable the company is, odds are even profitable the company is, odds are even profitable the company is, odds are even in year one when Gallagher was all by in year one when Gallagher was all by in year one when Gallagher was all by himself, the company would have been himself, the company would have been himself, the company would have been valued at over a billion dollars, valued at over a billion dollars, valued at over a billion dollars, closing the betting pool just one year closing the betting pool just one year closing the betting pool just one year after it began. His closest competitor after it began. His closest competitor after it began. His closest competitor in the space, Hims and Hers, does in the space, Hims and Hers, does in the space, Hims and Hers, does similar work, but with 24,442 similar work, but with 24,442 similar work, but with 24,442 employees and runs on a 5.5% margin. employees and runs on a 5.5% margin. employees and runs on a 5.5% margin. Gallagher is running nearly three times Gallagher is running nearly three times Gallagher is running nearly three times that margin even after hiring his first that margin even after hiring his first that margin even after hiring his first employee in year two, his brother. You employee in year two, his brother. You employee in year two, his brother. You see, prior to AI, for all of human see, prior to AI, for all of human see, prior to AI, for all of human history, every major technological history, every major technological history, every major technological revolution followed the same pattern. It revolution followed the same pattern. It revolution followed the same pattern. It killed the old jobs, but it created new killed the old jobs, but it created new killed the old jobs, but it created new ones. The loom wiped out handw weavers, ones. The loom wiped out handw weavers, ones. The loom wiped out handw weavers, but employed a new generation of factory but employed a new generation of factory but employed a new generation of factory workers doing way more. The steam engine workers doing way more. The steam engine workers doing way more. The steam engine killed entire trades, but gave birth to killed entire trades, but gave birth to killed entire trades, but gave birth to entirely new industries. electricity, entirely new industries. electricity, entirely new industries. electricity, the assembly line, the internet, every the assembly line, the internet, every the assembly line, the internet, every single one of them destroyed a massive single one of them destroyed a massive single one of them destroyed a massive amount of jobs in one category only to amount of jobs in one category only to amount of jobs in one category only to create more in another. And every time create more in another. And every time create more in another. And every time economists warned about mass economists warned about mass economists warned about mass unemployment. Every time though, they unemployment. Every time though, they unemployment. Every time though, they were wrong. New categories of work were wrong. New categories of work were wrong. New categories of work emerged that nobody could have predicted emerged that nobody could have predicted emerged that nobody could have predicted and more ultimately ended up employed and more ultimately ended up employed and more ultimately ended up employed than before. That track record is so than before. That track record is so than before. That track record is so consistent that economists gave the fear consistent that economists gave the fear consistent that economists gave the fear of a new technology a name. They call it of a new technology a name. They call it of a new technology a name. They call it the lump of labor fallacy. The mistaken the lump of labor fallacy. The mistaken the lump of labor fallacy. The mistaken belief that there's a fixed amount of belief that there's a fixed amount of belief that there's a fixed amount of work in the economy and that if a work in the economy and that if a work in the economy and that if a machine takes some of it, there's less machine takes some of it, there's less machine takes some of it, there's less left for humans. It's been wrong every left for humans. It's been wrong every left for humans. It's been wrong every time it's been applied without a single time it's been applied without a single time it's been applied without a single exception. So here's the uncomfortable exception. So here's the uncomfortable exception. So here's the uncomfortable question. What if this time is actually question. What if this time is actually question. What if this time is actually different? Not because the technology is different? Not because the technology is different? Not because the technology is bigger, but because it's categorically bigger, but because it's categorically bigger, but because it's categorically different from everything that came different from everything that came different from everything that came before it. Every previous technology before it. Every previous technology before it. Every previous technology replaced physical or mental labor. The replaced physical or mental labor. The replaced physical or mental labor. The loom replaced hands. The tractor loom replaced hands. The tractor loom replaced hands. The tractor replaced backs. Even computers were dumb replaced backs. Even computers were dumb replaced backs. Even computers were dumb machines that merely gave new tools to machines that merely gave new tools to machines that merely gave new tools to human minds. But they certainly didn't human minds. But they certainly didn't human minds. But they certainly didn't replace actual intelligence. That is replace actual intelligence. That is replace actual intelligence. That is until AI. AI is the first tool we've until AI. AI is the first tool we've until AI. AI is the first tool we've ever created that can think and execute. ever created that can think and execute. ever created that can think and execute. So, if you think of AI as just another So, if you think of AI as just another So, if you think of AI as just another laborsaving device, I get why you would laborsaving device, I get why you would laborsaving device, I get why you would think that it's going to be like every think that it's going to be like every think that it's going to be like every technological revolution that came technological revolution that came technological revolution that came before it. But that would be what's before it. But that would be what's before it. But that would be what's known as a categorical error. AI is a known as a categorical error. AI is a known as a categorical error. AI is a 0ero to one moment. Non-human strength 0ero to one moment. Non-human strength 0ero to one moment. Non-human strength in computation has existed for a long in computation has existed for a long in computation has existed for a long time, but until now, human-made time, but until now, human-made time, but until now, human-made intelligence was strictly the domain of intelligence was strictly the domain of intelligence was strictly the domain of well, humans. But not anymore. AI well, humans. But not anymore. AI well, humans. But not anymore. AI doesn't just do a task. It replaces the doesn't just do a task. It replaces the doesn't just do a task. It replaces the intelligence above the task, the pattern intelligence above the task, the pattern intelligence above the task, the pattern recognition layer, the reasoning that recognition layer, the reasoning that recognition layer, the reasoning that figures out what needs to be done in the figures out what needs to be done in the figures out what needs to be done in the first place. And that changes the game. first place. And that changes the game. first place. And that changes the game. Now, I know better than to say that this Now, I know better than to say that this Now, I know better than to say that this time is different. So, to the lump labor time is different. So, to the lump labor time is different. So, to the lump labor fallacy, I'll say this. I'll take it on fallacy, I'll say this. I'll take it on fallacy, I'll say this. I'll take it on faith that in the long run, it will faith that in the long run, it will faith that in the long run, it will create more jobs than it destroys. But create more jobs than it destroys. But create more jobs than it destroys. But when you factor in that this is an when you factor in that this is an when you factor in that this is an entirely new category of tool, just as entirely new category of tool, just as entirely new category of tool, just as the world was fundamentally altered by the world was fundamentally altered by the world was fundamentally altered by the industrial revolution, the internet, the industrial revolution, the internet, the industrial revolution, the internet, and modern finance, the world will be and modern finance, the world will be and modern finance, the world will be unrecognizable unrecognizable unrecognizable on the other side of AI. on the other side of AI. on the other side of AI. We'll get right back to the show, but We'll get right back to the show, but We'll get right back to the show, but first, let's talk about the work you're first, let's talk about the work you're first, let's talk about the work you're doing that you shouldn't be. You just doing that you shouldn't be. You just doing that you shouldn't be. You just spent 20 minutes logging call notes. spent 20 minutes logging call notes. spent 20 minutes logging call notes. Then you spend another 10 figuring out Then you spend another 10 figuring out Then you spend another 10 figuring out what to do next. That's 30 minutes of what to do next. That's 30 minutes of what to do next. That's 30 minutes of manual work AI could be handling for manual work AI could be handling for manual work AI could be handling for you. Multiply that across every call you. Multiply that across every call you. Multiply that across every call your team takes. That's hours and hours your team takes. That's hours and hours your team takes. That's hours and hours of wasted time every day. Quo is the of wasted time every day. Quo is the of wasted time every day. Quo is the number one rated business phone system number one rated business phone system number one rated business phone system on G2 with over 3,000 reviews. Because on G2 with over 3,000 reviews. Because on G2 with over 3,000 reviews. Because it's more than just a phone. It's built it's more than just a phone. It's built it's more than just a phone. It's built for how modern teams actually work. More for how modern teams actually work. More for how modern teams actually work. More than 90,000 businesses rely on Quo than 90,000 businesses rely on Quo than 90,000 businesses rely on Quo because it's a smart system, not just a because it's a smart system, not just a because it's a smart system, not just a phone system. Your entire team shares phone system. Your entire team shares phone system. 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No missed calls, no missed customers. No missed calls, no missed customers. And now, let's get back to the show. We And now, let's get back to the show. We And now, let's get back to the show. We will be right back to the show, but will be right back to the show, but will be right back to the show, but right now, I want to talk about the AI right now, I want to talk about the AI right now, I want to talk about the AI mistake most businesses are making. mistake most businesses are making. mistake most businesses are making. Everyone's racing to adopt AI, Everyone's racing to adopt AI, Everyone's racing to adopt AI, rightfully so, but AI is only as good as rightfully so, but AI is only as good as rightfully so, but AI is only as good as the data behind it. And if your data the data behind it. And if your data the data behind it. And if your data lives in five different systems that lives in five different systems that lives in five different systems that don't even talk to each other, your AI don't even talk to each other, your AI don't even talk to each other, your AI is working on a broken foundation. is working on a broken foundation. is working on a broken foundation. Netswuite by Oracle is the number one AI Netswuite by Oracle is the number one AI Netswuite by Oracle is the number one AI cloud ERP trusted by over 43,000 cloud ERP trusted by over 43,000 cloud ERP trusted by over 43,000 businesses. It brings your financials, businesses. It brings your financials, businesses. It brings your financials, inventory, commerce, HR, and CRM into inventory, commerce, HR, and CRM into inventory, commerce, HR, and CRM into one unified system, one source of truth. one unified system, one source of truth. one unified system, one source of truth. 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The guide is free at netswuite.com/ netswuite.com/ netswuite.com/ theory. And now, let's get back to the theory. And now, let's get back to the theory. And now, let's get back to the show. show. show. For the first time in history, companies For the first time in history, companies For the first time in history, companies have two different options for what to have two different options for what to have two different options for what to do when they have an open role that do when they have an open role that do when they have an open role that requires intelligence. That doesn't mean requires intelligence. That doesn't mean requires intelligence. That doesn't mean humans are done for. But what it does humans are done for. But what it does humans are done for. But what it does mean is that the bar for what a human mean is that the bar for what a human mean is that the bar for what a human needs to bring to the table to get needs to bring to the table to get needs to bring to the table to get selected when intelligence is what's selected when intelligence is what's selected when intelligence is what's needed has just gone up. And that means needed has just gone up. And that means needed has just gone up. And that means even if there are more jobs created, even if there are more jobs created, even if there are more jobs created, they will go to the most capable and they will go to the most capable and they will go to the most capable and costefficient option, human or costefficient option, human or costefficient option, human or otherwise. Even if there's an infinite otherwise. Even if there's an infinite otherwise. Even if there's an infinite appetite for intelligence, AI raises the appetite for intelligence, AI raises the appetite for intelligence, AI raises the floor of expected productivity and floor of expected productivity and floor of expected productivity and ability. And anyone who falls below that ability. And anyone who falls below that ability. And anyone who falls below that floor becomes part of what I'm calling floor becomes part of what I'm calling floor becomes part of what I'm calling the unproductive class or the charity the unproductive class or the charity the unproductive class or the charity class. That sounds horrible, but it's class. That sounds horrible, but it's class. That sounds horrible, but it's just the physics of the situation. AI just the physics of the situation. AI just the physics of the situation. AI learns slowly and narrowly, but it is learns slowly and narrowly, but it is learns slowly and narrowly, but it is hyper good at the tasks that it's been hyper good at the tasks that it's been hyper good at the tasks that it's been trained on. Full self-driving in cars is trained on. Full self-driving in cars is trained on. Full self-driving in cars is already proving to be far safer than already proving to be far safer than already proving to be far safer than human drivers. AI can beat us at chess human drivers. AI can beat us at chess human drivers. AI can beat us at chess and go and the most complicated games in and go and the most complicated games in and go and the most complicated games in the world. Now that AI is never going to the world. Now that AI is never going to the world. Now that AI is never going to be a chef as well, but eventually there be a chef as well, but eventually there be a chef as well, but eventually there will be a separate AI for that too. And will be a separate AI for that too. And will be a separate AI for that too. And that's why this isn't just about that's why this isn't just about that's why this isn't just about companies downsizing, whether for PR or companies downsizing, whether for PR or companies downsizing, whether for PR or otherwise. It's about what happens to otherwise. It's about what happens to otherwise. It's about what happens to the structure of companies and society the structure of companies and society the structure of companies and society as a whole when not everyone will be as a whole when not everyone will be as a whole when not everyone will be needed in the workforce. What happens needed in the workforce. What happens needed in the workforce. What happens when one person can do the work of 20 or when one person can do the work of 20 or when one person can do the work of 20 or 200? The entire fabric of society is 200? The entire fabric of society is 200? The entire fabric of society is going to change. In an AI enabled world, going to change. In an AI enabled world, going to change. In an AI enabled world, companies don't just get smaller, they companies don't just get smaller, they companies don't just get smaller, they atomize and become ephemeral, existing atomize and become ephemeral, existing atomize and become ephemeral, existing briefly and then completely briefly and then completely briefly and then completely disappearing, being replaced by disappearing, being replaced by disappearing, being replaced by something else. Because the barrier to something else. Because the barrier to something else. Because the barrier to entry is so small, you get more entry is so small, you get more entry is so small, you get more companies but with fewer people in them. companies but with fewer people in them. companies but with fewer people in them. They become lean, high output, high They become lean, high output, high They become lean, high output, high margin operations that previously would margin operations that previously would margin operations that previously would have required entire departments just a have required entire departments just a have required entire departments just a few years ago. So now the question few years ago. So now the question few years ago. So now the question becomes if one person can build a $41 becomes if one person can build a $41 becomes if one person can build a $41 million operation, bring on his brother million operation, bring on his brother million operation, bring on his brother and achieve a run rate of nearly $2 and achieve a run rate of nearly $2 and achieve a run rate of nearly $2 billion in their second year of billion in their second year of billion in their second year of business. That's the pace they're on. business. That's the pace they're on. business. That's the pace they're on. and do it with better margins than their and do it with better margins than their and do it with better margins than their competitor that has nearly 2500 competitor that has nearly 2500 competitor that has nearly 2500 employees. How long do you suppose those employees. How long do you suppose those employees. How long do you suppose those 2400 employees actually last? It's not a 2400 employees actually last? It's not a 2400 employees actually last? It's not a rhetorical question. It's the question rhetorical question. It's the question rhetorical question. It's the question every upstart entrepreneur and company every upstart entrepreneur and company every upstart entrepreneur and company in America is asking themselves right in America is asking themselves right in America is asking themselves right now. And the inevitable answer that they now. And the inevitable answer that they now. And the inevitable answer that they will come to is that every company can will come to is that every company can will come to is that every company can now do more with less. That includes now do more with less. That includes now do more with less. That includes you. And that fact is going to change you. And that fact is going to change you. And that fact is going to change our economy for ever. Welcome to part our economy for ever. Welcome to part our economy for ever. Welcome to part three, the barbell. How the middle will three, the barbell. How the middle will three, the barbell. How the middle will disappear. America's already in the disappear. America's already in the disappear. America's already in the grips of a horrific K-shaped economy grips of a horrific K-shaped economy grips of a horrific K-shaped economy where there is a stark divide between where there is a stark divide between where there is a stark divide between the halves at the top of the K and the the halves at the top of the K and the the halves at the top of the K and the have knots at the bottom. 10% of have knots at the bottom. 10% of have knots at the bottom. 10% of Americans own 93% of all assets. 47% of Americans own 93% of all assets. 47% of Americans own 93% of all assets. 47% of Americans already make so little money Americans already make so little money Americans already make so little money that they pay zero federal income tax. that they pay zero federal income tax. that they pay zero federal income tax. And despite what many will tell you, And despite what many will tell you, And despite what many will tell you, we're already a massive welfare state. we're already a massive welfare state. we're already a massive welfare state. As of 2022, a full 1 in three Americans As of 2022, a full 1 in three Americans As of 2022, a full 1 in three Americans were enrolled in at least one government were enrolled in at least one government were enrolled in at least one government assistance program. And now that the assistance program. And now that the assistance program. And now that the private sector job growth has stalled, private sector job growth has stalled, private sector job growth has stalled, you can expect those numbers to go up you can expect those numbers to go up you can expect those numbers to go up even without AI. And with AI, expect even without AI. And with AI, expect even without AI. And with AI, expect those numbers to go up every time AI those numbers to go up every time AI those numbers to go up every time AI raises the bar on the acceptable level raises the bar on the acceptable level raises the bar on the acceptable level of productivity. Elon once said, "You're of productivity. Elon once said, "You're of productivity. Elon once said, "You're paid in direct proportion to the paid in direct proportion to the paid in direct proportion to the difficulty of the problems you solve." difficulty of the problems you solve." difficulty of the problems you solve." He's right about that. As AI becomes He's right about that. As AI becomes He's right about that. As AI becomes capable of solving increasingly complex capable of solving increasingly complex capable of solving increasingly complex problems, more and more humans will find problems, more and more humans will find problems, more and more humans will find themselves unable to obtain work. Unless themselves unable to obtain work. Unless themselves unable to obtain work. Unless they're willing to constantly push their they're willing to constantly push their they're willing to constantly push their abilities higher and higher, they will abilities higher and higher, they will abilities higher and higher, they will eventually find their career stalled out eventually find their career stalled out eventually find their career stalled out or not existing at all. Now, some people or not existing at all. Now, some people or not existing at all. Now, some people love that kind of challenge, but others love that kind of challenge, but others love that kind of challenge, but others do not. And this divide between those do not. And this divide between those do not. And this divide between those two groups will further exaggerate the two groups will further exaggerate the two groups will further exaggerate the K-shaped economy as more people slide K-shaped economy as more people slide K-shaped economy as more people slide down into the unproductive class. AI down into the unproductive class. AI down into the unproductive class. AI will create almost perfect transparency will create almost perfect transparency will create almost perfect transparency with someone's level of productivity. with someone's level of productivity. with someone's level of productivity. There will be nowhere to hide. AI can There will be nowhere to hide. AI can There will be nowhere to hide. AI can parse through so much data so quickly parse through so much data so quickly parse through so much data so quickly and identify patterns that there will be and identify patterns that there will be and identify patterns that there will be absolutely no way for people to get away absolutely no way for people to get away absolutely no way for people to get away without delivering real productivity to without delivering real productivity to without delivering real productivity to the company. Even in a big company, the company. Even in a big company, the company. Even in a big company, everyone is going to be exposed. And everyone is going to be exposed. And everyone is going to be exposed. And this is going to cause workers to fight this is going to cause workers to fight this is going to cause workers to fight for regulatory protections. That will for regulatory protections. That will for regulatory protections. That will cause more entrepreneurs to avoid hiring cause more entrepreneurs to avoid hiring cause more entrepreneurs to avoid hiring humans in the first place. And from humans in the first place. And from humans in the first place. And from that, we will see companies begin to that, we will see companies begin to that, we will see companies begin to atomize dramatically. Corporations will atomize dramatically. Corporations will atomize dramatically. Corporations will develop a huge appetite for consultants develop a huge appetite for consultants develop a huge appetite for consultants and independent contractors. And more and independent contractors. And more and independent contractors. And more and more traditional employees will and more traditional employees will and more traditional employees will launch their own companies as a launch their own companies as a launch their own companies as a soloreneur to sell their skills back to soloreneur to sell their skills back to soloreneur to sell their skills back to companies that have a growing incentive companies that have a growing incentive companies that have a growing incentive to use AI or outside contractors to use AI or outside contractors to use AI or outside contractors whenever possible. And the people that whenever possible. And the people that whenever possible. And the people that master AI and are able to amplify their master AI and are able to amplify their master AI and are able to amplify their abilities, they're going to capture more abilities, they're going to capture more abilities, they're going to capture more of the upside of their own talents. of the upside of their own talents. of the upside of their own talents. something that up till now they've been something that up till now they've been something that up till now they've been unable to do but that will radically unable to do but that will radically unable to do but that will radically increase this atomization. You will only increase this atomization. You will only increase this atomization. You will only get paid for your results in the new get paid for your results in the new get paid for your results in the new world. But odds are there will be less world. But odds are there will be less world. But odds are there will be less and less competition as you elevate your and less competition as you elevate your and less competition as you elevate your skills more and more and that becomes skills more and more and that becomes skills more and more and that becomes the goal to put yourself in that the goal to put yourself in that the goal to put yourself in that rarified air. Eventually your primary rarified air. Eventually your primary rarified air. Eventually your primary competition will be other elite competition will be other elite competition will be other elite performers using AI and then the AI performers using AI and then the AI performers using AI and then the AI itself. Everyone else is just going to itself. Everyone else is just going to itself. Everyone else is just going to fade away into the unproductive class. fade away into the unproductive class. fade away into the unproductive class. It is absolutely heartbreaking. But that It is absolutely heartbreaking. But that It is absolutely heartbreaking. But that is just the reality. When intelligence is just the reality. When intelligence is just the reality. When intelligence has a distribution, drive, will, all of has a distribution, drive, will, all of has a distribution, drive, will, all of those things are distributed, not those things are distributed, not those things are distributed, not everybody has the same level. Not everybody has the same level. Not everybody has the same level. Not everybody is going to be able to keep up everybody is going to be able to keep up everybody is going to be able to keep up with AI. That is the stark and biting with AI. That is the stark and biting with AI. That is the stark and biting reality. It creates huge opportunities reality. It creates huge opportunities reality. It creates huge opportunities for people that can and will. But ooh for people that can and will. But ooh for people that can and will. But ooh buddy, society is going to look very buddy, society is going to look very buddy, society is going to look very different on the other side. Now, I know different on the other side. Now, I know different on the other side. Now, I know exactly what some of you are thinking exactly what some of you are thinking exactly what some of you are thinking right now because I read my comments. right now because I read my comments. right now because I read my comments. You're tired of hearing a bunch of rich You're tired of hearing a bunch of rich You're tired of hearing a bunch of rich guys like me who've made it stand up and guys like me who've made it stand up and guys like me who've made it stand up and tell you that the solution to declining tell you that the solution to declining tell you that the solution to declining jobs is to learn AI. You're watching jobs is to learn AI. You're watching jobs is to learn AI. You're watching real jobs disappear in real time. And real jobs disappear in real time. And real jobs disappear in real time. And the response from people like me is the response from people like me is the response from people like me is essentially, "Hey, it's great news. Just essentially, "Hey, it's great news. Just essentially, "Hey, it's great news. Just go get better." Now, I understand why go get better." Now, I understand why go get better." Now, I understand why that sounds so horrible, especially if that sounds so horrible, especially if that sounds so horrible, especially if you're of a certain age. But as Morpheus you're of a certain age. But as Morpheus you're of a certain age. But as Morpheus says, all I'm offering is the truth. And says, all I'm offering is the truth. And says, all I'm offering is the truth. And the truth is, for the foreseeable the truth is, for the foreseeable the truth is, for the foreseeable future, AI alone is not going to beat future, AI alone is not going to beat future, AI alone is not going to beat humans. That will happen one day, but humans. That will happen one day, but humans. That will happen one day, but that day is not today. For now, what the that day is not today. For now, what the that day is not today. For now, what the data actually shows is that humans who data actually shows is that humans who data actually shows is that humans who use AI are absolutely demolishing both use AI are absolutely demolishing both use AI are absolutely demolishing both the humans who don't and the AI systems the humans who don't and the AI systems the humans who don't and the AI systems operating without human direction. And operating without human direction. And operating without human direction. And that gap between humans with AI and that gap between humans with AI and that gap between humans with AI and everyone else is the window of everyone else is the window of everyone else is the window of opportunity. It's open right now, but it opportunity. It's open right now, but it opportunity. It's open right now, but it will not be open forever. The barbell is will not be open forever. The barbell is will not be open forever. The barbell is going to form no matter what for the going to form no matter what for the going to form no matter what for the reasons that I've just explained. But if reasons that I've just explained. But if reasons that I've just explained. But if you've made it this far in this video, you've made it this far in this video, you've made it this far in this video, you meet what I call minimum you meet what I call minimum you meet what I call minimum requirements. requirements. requirements. Now you need to start stacking relevant Now you need to start stacking relevant Now you need to start stacking relevant skills. If you do, you'll end up on the skills. If you do, you'll end up on the skills. If you do, you'll end up on the good side of the barbell. And if you good side of the barbell. And if you good side of the barbell. And if you don't, over the next 5 years or so, you don't, over the next 5 years or so, you don't, over the next 5 years or so, you will slide into the unproductive class will slide into the unproductive class will slide into the unproductive class as AI outpaces you. Remember, AI as AI outpaces you. Remember, AI as AI outpaces you. Remember, AI improves at roughly 300% improves at roughly 300% improves at roughly 300% per year. Even if that rate slows per year. Even if that rate slows per year. Even if that rate slows dramatically, in 5 years, AI will be dramatically, in 5 years, AI will be dramatically, in 5 years, AI will be like a computer is today, you won't be like a computer is today, you won't be like a computer is today, you won't be able to get a job if you don't know how able to get a job if you don't know how able to get a job if you don't know how to use one. To be clear, I don't believe to use one. To be clear, I don't believe to use one. To be clear, I don't believe the middle class will disappear. The the middle class will disappear. The the middle class will disappear. The middle will fall out of the talent middle will fall out of the talent middle will fall out of the talent distribution. And that will create the distribution. And that will create the distribution. And that will create the barbell in productivity. the stable, barbell in productivity. the stable, barbell in productivity. the stable, salaried, not exceptional but competent salaried, not exceptional but competent salaried, not exceptional but competent enough middle, the people who always enough middle, the people who always enough middle, the people who always found a way to contribute just enough to found a way to contribute just enough to found a way to contribute just enough to justify their seat. That class is going justify their seat. That class is going justify their seat. That class is going to disappear because AI makes it to disappear because AI makes it to disappear because AI makes it optional for a company to carry them. optional for a company to carry them. optional for a company to carry them. And companies that figure that out will And companies that figure that out will And companies that figure that out will outperform those that don't, which means outperform those that don't, which means outperform those that don't, which means the companies that don't figure it out the companies that don't figure it out the companies that don't figure it out will eventually cease to exist. You're will eventually cease to exist. You're will eventually cease to exist. You're either productive enough to hire on either productive enough to hire on either productive enough to hire on merit, you have the skill and the merit, you have the skill and the merit, you have the skill and the gumption enough to run your own gumption enough to run your own gumption enough to run your own business, or you're going to fall back business, or you're going to fall back business, or you're going to fall back on charity. That'll be the divide. on charity. That'll be the divide. on charity. That'll be the divide. That's what the data is already showing That's what the data is already showing That's what the data is already showing us. So, welcome to part four. Now that us. So, welcome to part four. Now that us. So, welcome to part four. Now that you know, what do you do? The US economy you know, what do you do? The US economy you know, what do you do? The US economy is already producing zero net private is already producing zero net private is already producing zero net private sector jobs. AI is already absorbing the sector jobs. AI is already absorbing the sector jobs. AI is already absorbing the bottom of the cognitive labor market. bottom of the cognitive labor market. bottom of the cognitive labor market. Medv success already proves that the Medv success already proves that the Medv success already proves that the atomization I'm predicting is certainly atomization I'm predicting is certainly atomization I'm predicting is certainly possible and probably likely. And on top possible and probably likely. And on top possible and probably likely. And on top of all of that, the Federal Reserve is of all of that, the Federal Reserve is of all of that, the Federal Reserve is caught in a trap it has never faced caught in a trap it has never faced caught in a trap it has never faced before. It can't cut rates right now to before. It can't cut rates right now to before. It can't cut rates right now to protect jobs without risking inflation. protect jobs without risking inflation. protect jobs without risking inflation. It can't raise rates to fight inflation It can't raise rates to fight inflation It can't raise rates to fight inflation without crushing an economy that is without crushing an economy that is without crushing an economy that is already producing zero net new jobs. already producing zero net new jobs. already producing zero net new jobs. Every lever that the Fed normally has Every lever that the Fed normally has Every lever that the Fed normally has was built for a different world than the was built for a different world than the was built for a different world than the one that we're in right now. Goldman one that we're in right now. Goldman one that we're in right now. Goldman Sachs, JP Morgan, and Bank of America Sachs, JP Morgan, and Bank of America Sachs, JP Morgan, and Bank of America are all currently signaling elevated are all currently signaling elevated are all currently signaling elevated recession risk. They might be right or recession risk. They might be right or recession risk. They might be right or they might be wrong. The future is very they might be wrong. The future is very they might be wrong. The future is very hard to see. But here's what's true hard to see. But here's what's true hard to see. But here's what's true regardless. The economy doesn't have to regardless. The economy doesn't have to regardless. The economy doesn't have to enter a recession. For everything I've enter a recession. For everything I've enter a recession. For everything I've described, not only to happen, but to described, not only to happen, but to described, not only to happen, but to accelerate. Slow growth will accelerate accelerate. Slow growth will accelerate accelerate. Slow growth will accelerate it. Margin pressure will accelerate it. it. Margin pressure will accelerate it. it. Margin pressure will accelerate it. A competitor who figures out the Medv A competitor who figures out the Medv A competitor who figures out the Medv model before you do will accelerate it. model before you do will accelerate it. model before you do will accelerate it. The forcing function isn't a single The forcing function isn't a single The forcing function isn't a single economic event. It's the competitive economic event. It's the competitive economic event. It's the competitive pressure that now exists in every pressure that now exists in every pressure that now exists in every industry, in every job, in every industry, in every job, in every industry, in every job, in every economic environment permanently. In economic environment permanently. In economic environment permanently. In every economic scenario that could every economic scenario that could every economic scenario that could unfold, strong growth, stagnation, or unfold, strong growth, stagnation, or unfold, strong growth, stagnation, or full-on recession, the pressure on every full-on recession, the pressure on every full-on recession, the pressure on every company will be identical. Do more with company will be identical. Do more with company will be identical. Do more with less. And to do that, you're going to less. And to do that, you're going to less. And to do that, you're going to use AI. In a strong economy, you compete use AI. In a strong economy, you compete use AI. In a strong economy, you compete on margins. In a stagflationary on margins. In a stagflationary on margins. In a stagflationary environment, you cut costs without environment, you cut costs without environment, you cut costs without cutting output. In a recession, your cutting output. In a recession, your cutting output. In a recession, your survival depends on eliminating survival depends on eliminating survival depends on eliminating inefficiency before the cycle turns. AI inefficiency before the cycle turns. AI inefficiency before the cycle turns. AI is the only tool that answers all of is the only tool that answers all of is the only tool that answers all of those demands. Simultaneously, the those demands. Simultaneously, the those demands. Simultaneously, the economic environment doesn't change the economic environment doesn't change the economic environment doesn't change the prescription. It just changes how prescription. It just changes how prescription. It just changes how urgently you must act on it. Which urgently you must act on it. Which urgently you must act on it. Which brings me to what you actually need to brings me to what you actually need to brings me to what you actually need to do. First thing, if you've got the guts do. First thing, if you've got the guts do. First thing, if you've got the guts for entrepreneurship, now is your shot. for entrepreneurship, now is your shot. for entrepreneurship, now is your shot. I cannot stress this enough. Take I cannot stress this enough. Take I cannot stress this enough. Take control of your destiny. This moment is control of your destiny. This moment is control of your destiny. This moment is incredible for people that are willing incredible for people that are willing incredible for people that are willing to move, to push themselves, and to get to move, to push themselves, and to get to move, to push themselves, and to get better. It has quite literally never better. It has quite literally never better. It has quite literally never been easier to start a company than been easier to start a company than been easier to start a company than right now, today. But if not, then at right now, today. But if not, then at right now, today. But if not, then at least stop thinking about your job as a least stop thinking about your job as a least stop thinking about your job as a job. Start thinking about it as a job. Start thinking about it as a job. Start thinking about it as a collection of tasks. Most people when collection of tasks. Most people when collection of tasks. Most people when they ask, "Can AI replace me?" They're they ask, "Can AI replace me?" They're they ask, "Can AI replace me?" They're asking the wrong question at the wrong asking the wrong question at the wrong asking the wrong question at the wrong level of analysis. The right question is level of analysis. The right question is level of analysis. The right question is what are the six to 10 discrete things I what are the six to 10 discrete things I what are the six to 10 discrete things I actually do and which of those can actually do and which of those can actually do and which of those can specifically be done better, faster or specifically be done better, faster or specifically be done better, faster or cheaper by AI than I can do them right cheaper by AI than I can do them right cheaper by AI than I can do them right now. Write that list down. Don't say it now. Write that list down. Don't say it now. Write that list down. Don't say it in your head. Write it down on paper in in your head. Write it down on paper in in your head. Write it down on paper in a document. Break your role down to its a document. Break your role down to its a document. Break your role down to its actual components. Identify exactly actual components. Identify exactly actual components. Identify exactly where you're genuinely irreplaceable, where you're genuinely irreplaceable, where you're genuinely irreplaceable, where your judgment, your relationships, where your judgment, your relationships, where your judgment, your relationships, your creativity, where one of those your creativity, where one of those your creativity, where one of those things is the thing that makes you things is the thing that makes you things is the thing that makes you valuable. And also identify the tasks valuable. And also identify the tasks valuable. And also identify the tasks that are already automatable. If that are already automatable. If that are already automatable. If something is already automatable, it something is already automatable, it something is already automatable, it means someone above you is already means someone above you is already means someone above you is already thinking about automating that. I thinking about automating that. I thinking about automating that. I promise you, if they're not already, promise you, if they're not already, promise you, if they're not already, they will be soon. So, do not lie to they will be soon. So, do not lie to they will be soon. So, do not lie to yourself. Be very honest. And by the yourself. Be very honest. And by the yourself. Be very honest. And by the way, you can work with AI to think way, you can work with AI to think way, you can work with AI to think through all that stuff. The second through all that stuff. The second through all that stuff. The second thing, take the first automatable task thing, take the first automatable task thing, take the first automatable task on that list and spend a weekend on that list and spend a weekend on that list and spend a weekend actually trying to automate it, not actually trying to automate it, not actually trying to automate it, not watching a YouTube video about it, not watching a YouTube video about it, not watching a YouTube video about it, not reading about it, actually attempting reading about it, actually attempting reading about it, actually attempting it. One tool, open the tool, vibe code it. One tool, open the tool, vibe code it. One tool, open the tool, vibe code it, build an agent, whatever is needed, it, build an agent, whatever is needed, it, build an agent, whatever is needed, then run it, see what happens. It will then run it, see what happens. It will then run it, see what happens. It will probably fall in its face at first. Try probably fall in its face at first. Try probably fall in its face at first. Try again, improve it. The feedback loop again, improve it. The feedback loop again, improve it. The feedback loop from one real attempt to automate a task from one real attempt to automate a task from one real attempt to automate a task will teach you more than 20 hours, 40 will teach you more than 20 hours, 40 will teach you more than 20 hours, 40 hours of content consumption. And it hours of content consumption. And it hours of content consumption. And it will tell you exactly where the gaps will tell you exactly where the gaps will tell you exactly where the gaps are, which is where your human judgment are, which is where your human judgment are, which is where your human judgment still matters. The third thing, start still matters. The third thing, start still matters. The third thing, start thinking like an owner of a workflow, thinking like an owner of a workflow, thinking like an owner of a workflow, not an occupant of a role. Your job is not an occupant of a role. Your job is not an occupant of a role. Your job is to deliver outcomes. It's not to check a to deliver outcomes. It's not to check a to deliver outcomes. It's not to check a box like you're on a fetch quest. The box like you're on a fetch quest. The box like you're on a fetch quest. The workers who end up on the right side of workers who end up on the right side of workers who end up on the right side of the barbell are not going to be the ones the barbell are not going to be the ones the barbell are not going to be the ones who used AI to do their job a little bit who used AI to do their job a little bit who used AI to do their job a little bit faster. They're going to be the ones who faster. They're going to be the ones who faster. They're going to be the ones who used AI to become a department of one, used AI to become a department of one, used AI to become a department of one, to be the person who shows up and to be the person who shows up and to be the person who shows up and delivers what used to require a team. delivers what used to require a team. delivers what used to require a team. That's the person who gains leverage. That's the person who gains leverage. That's the person who gains leverage. Whether that means charging more as an Whether that means charging more as an Whether that means charging more as an independent operator or being genuinely independent operator or being genuinely independent operator or being genuinely irreplaceable inside of an organization irreplaceable inside of an organization irreplaceable inside of an organization because no single hire can replicate because no single hire can replicate because no single hire can replicate what you can deliver. Whatever it takes, what you can deliver. Whatever it takes, what you can deliver. Whatever it takes, get to that point. Prove that you can get to that point. Prove that you can get to that point. Prove that you can deliver a level of productivity that deliver a level of productivity that deliver a level of productivity that other people cannot, that AI by itself other people cannot, that AI by itself other people cannot, that AI by itself cannot, that truly you armed with AI cannot, that truly you armed with AI cannot, that truly you armed with AI have no peers other than people like you have no peers other than people like you have no peers other than people like you that have also mastered AI. None of this that have also mastered AI. None of this that have also mastered AI. None of this is complicated, but it does require you is complicated, but it does require you is complicated, but it does require you to actually start. So, here's the bottom to actually start. So, here's the bottom to actually start. So, here's the bottom line. This isn't a tech story. It's an line. This isn't a tech story. It's an line. This isn't a tech story. It's an economic structure story. Fed Chair economic structure story. Fed Chair economic structure story. Fed Chair Powell confirmed we have zero net Powell confirmed we have zero net Powell confirmed we have zero net private sector job creation. The job private sector job creation. The job private sector job creation. The job market's already stalled. Stanford has market's already stalled. Stanford has market's already stalled. Stanford has confirmed that entry-level cognitive confirmed that entry-level cognitive confirmed that entry-level cognitive work is already being absorbed by AI. work is already being absorbed by AI. work is already being absorbed by AI. Medv success confirms that the Medv success confirms that the Medv success confirms that the atomization model isn't just atomization model isn't just atomization model isn't just theoretical. It's already happening and theoretical. It's already happening and theoretical. It's already happening and it's incredibly profitable, but only for it's incredibly profitable, but only for it's incredibly profitable, but only for the people that can take advantage of the people that can take advantage of the people that can take advantage of it. And guys, anything that's it. And guys, anything that's it. And guys, anything that's profitable, especially on the scale of profitable, especially on the scale of profitable, especially on the scale of Medvy, is going to be replicated over Medvy, is going to be replicated over Medvy, is going to be replicated over and over across every industry. And on and over across every industry. And on and over across every industry. And on top of all of that, the economy is top of all of that, the economy is top of all of that, the economy is struggling right now, at least for struggling right now, at least for struggling right now, at least for anyone on the bottom of the K. So do not anyone on the bottom of the K. So do not anyone on the bottom of the K. So do not allow yourself to be on the bottom of allow yourself to be on the bottom of allow yourself to be on the bottom of the K and the wrong side of the barbell. the K and the wrong side of the barbell. the K and the wrong side of the barbell. That is far too brutal on the human That is far too brutal on the human That is far too brutal on the human psyche, and it's entirely avoidable. I'm psyche, and it's entirely avoidable. I'm psyche, and it's entirely avoidable. I'm not saying this moment is fun. I get it. not saying this moment is fun. I get it. not saying this moment is fun. I get it. We all wish that things were more We all wish that things were more We all wish that things were more static, that we had longer time static, that we had longer time static, that we had longer time horizons, but we don't. But we have this horizons, but we don't. But we have this horizons, but we don't. But we have this incredible opportunity. It is a window incredible opportunity. It is a window incredible opportunity. It is a window of opportunity that is open right now. of opportunity that is open right now. of opportunity that is open right now. Humans plus AI still beats both humans Humans plus AI still beats both humans Humans plus AI still beats both humans and AI alone. The people who move now and AI alone. The people who move now and AI alone. The people who move now will be ahead of the curve in terms of will be ahead of the curve in terms of will be ahead of the curve in terms of building up your AI mastery. And that building up your AI mastery. And that building up your AI mastery. And that will give you leverage and optionality will give you leverage and optionality will give you leverage and optionality that will compound for the rest of your that will compound for the rest of your that will compound for the rest of your career. But if you wait, you will wake career. But if you wait, you will wake career. But if you wait, you will wake up one day and find that that window of up one day and find that that window of up one day and find that that window of opportunity has become a wall. So don't opportunity has become a wall. So don't opportunity has become a wall. So don't wait. Go master AI. All right. If you wait. Go master AI. All right. If you wait. Go master AI. All right. If you want to see me explore ideas like this want to see me explore ideas like this want to see me explore ideas like this in real time, be sure to hit that in real time, be sure to hit that in real time, be sure to hit that subscribe button right now. Join me subscribe button right now. Join me subscribe button right now. Join me Monday, Wednesday, and Friday at 7 a.m. Monday, Wednesday, and Friday at 7 a.m. Monday, Wednesday, and Friday at 7 a.m. Pacific time where we go live and talk Pacific time where we go live and talk Pacific time where we go live and talk about all of this stuff. You can join in about all of this stuff. You can join in about all of this stuff. You can join in the community and debate or just hang the community and debate or just hang the community and debate or just hang out and listen. Till then, my friends, out and listen. Till then, my friends, out and listen. Till then, my friends, be legendary. Take care. Peace. If you be legendary. Take care. Peace. If you be legendary. Take care. Peace. If you like this conversation, check out this like this conversation, check out this like this conversation, check out this episode to learn more. Oil prices have a episode to learn more. Oil prices have a episode to learn more. Oil prices have a much bigger impact on your retirement much bigger impact on your retirement much bigger impact on your retirement savings than you might think. And a lot savings than you might think. And a lot savings than you might think. And a lot of people are learning the hard way that of people are learning the hard way that of people are learning the hard way that volatility in the Middle East means volatility in the Middle East means volatility in the Middle East means volatility in your portfolio. The last