The transcription argues that while AI is causing significant disruption, including $285 billion in losses from failed corporate projects and massive job cuts, it simultaneously presents an unprecedented opportunity. The core problem is a critical skills shortage: only about 0.05% of the global population possesses the practical ability to build effective AI applications. This has created a stark divide. On one side, most companies and workers face obsolescence. On the other, a small group of "producers" who can harness AI are seeing dramatically higher profitability and are in extreme demand, evidenced by multi-million dollar contracts for AI talent. The speaker contends that success does not require deep coding knowledge but a fundamental shift in approach: learning to ask AI *how* to accomplish tasks, thereby training it to create automated systems. The urgent choice presented is to become a "producer" who builds with AI or remain a "consumer" dependent on them, framing current AI upheaval as a moment of historic, accessible opportunity for those who acquire the right skills.
You know, all those dudes have shown you like videos of say, "Hey, I built this app in 32 seconds, and now I can sell it and get super rich." As you probably suspected, most of that is stupid. Here's why. Last year, big companies and even regular size companies spent $300 billion with a B. Building AI stuff for business and 95% of the stuff they built didn't work. It failed. It did not produce a return on investment. They lost money. How much money you may ask? $285 billion. That's how much money they lost. And in this video, I'm going to show you why $285 billion is absolute chump change. And you're going to see why right now, as you watch this, we are right in the beginning of an AI apocalypse, which totally sounds like clickbait. I know, and it sounds dramatic, but it's actually good news. And it means there's opportunity for us. Think about this. Big companies spent $300 billion last year building AI stuff, so they can make more money in their businesses. 95% of it failed. They lost $285 billion. What does that mean for jobs? Let's start with last year, a firm called Challenger Gray just released a report saying that 1.17 million people laid off in the United States last year, 2025. That's the most layoffs since COVID. And 2026 is not looking any better, according to CNBC. Amazon cut like 30,000 jobs since starting with October of last year. And 16,000 of those happened in this year alone. And it's all because of AI. They just don't need people. And just recently, famous CEO Jack Dorsey just cut his entire workforce by 40% because of AI. And he just said so publicly. And it was like, doesn't make sense to have all these people. AI does make some irrelevant. Even the CEO of Anthropic came out and said recently that his prediction is AI is going to eliminate around 50% of entry-level white collar jobs in the near future. And now for the Jerry on top, the International Monetary Fund just came out and said, and I quote, AI is hitting the labor market like a tsunami. And most countries and most businesses are not prepared for it. And I'm pretty sure, like none of this is a surprise to you, you know. But there's a flip side to the whole thing that's pretty important because even though that's kind of scary and terrifying, it's also a huge opportunity. And here's where it's already starting. While jobs are being lost in businesses that aren't using AI or just getting steamrolled into oblivion, there's a small group of businesses that are just totally pulling away and doing great. Here's a stats behind that. First, Accenture, big fancy company, did some research and they found that companies that are actually using AI properly are generally making 2.5 times more than businesses that don't. And then there's another report that Asisco just did, not the singer, the company, and they basically say the same thing. 90% of companies that are fully AI integrated, like early adopters are reporting significantly more profitability than the rest of the companies that aren't using AI. Therefore, obviously it's safe to assume that if you use AI right in your business, you're going to do better than if you didn't. But that's not really the purpose of this video. It goes deeper. Remember earlier, I gave you that number, $300 billion spent businesses trying to make AI stuff work right. If that's true, the real thing we need to be looking at is why? Why did 95% of these projects fail? Why do these people lose $285 billion? And yes, I did tell you that was chunk change earlier and I'll explain why in a second. But let's examine that question because I know exactly why. First, only 13% of the entire population has ever used AI period. And now if you look at that group of people that have ever used AI, the overwhelming majority of those people are just like regular people using chat GBT to look up recipes or something. So that's pretty wild. But it gets really crazy because only 0.35% of the earth's entire population has used AI to actually build stuff like applications. That's less than 1% of humans, by the way. So less than 1% of humans in existence right now have ever right built a thing with AI. And how many of them do you think built a really good thing? Do you think the dude on YouTube going, I built this thing in 27 seconds and I can sell it and be a billionaire. Do you think that person made something good? No, they didn't. They made crap. Roughly speaking. And this is from research I did where we looked at the entire development community and then how many of those people used AI and then how many of those people actually reported it being successful at using it and not having to like manually and in there and do all kinds of stuff. If we look at all of that data, it shows that only 0.05% of the earth's population actually knows what the hell they're doing. If you do the math, that's slay math is not in his ex-science. But if you do the math, and that's like one out of every 2,000 people can actually build stuff with AI and get it to work consistently. And yeah, I know that sounds unbelievable, but the data supports it. The IDC just released a report saying that 90% of big-ass companies, global enterprises are going to have this very big problem where none of the people on their team or in their organization actually knows how to make AI work. And that's all happening right now in 2026, which is why my prediction is if you don't know how to make AI work and do stuff by 2027, you are totally going to be host. And if you do know how to make AI do stuff consistently, then you're going to have it made. This is the biggest opportunity I think ever really, like literally ever period. This company IDC, biggest research company in the world, arguably, they just did a projection that said the losses in revenue projected over the next couple of years is $5.5 trillion. That's how much it's costing them to not be able to do this stuff. There's another company called Pearson, and they did research and they did a projection for the US economy. And their projection was between 4.8 all the way up to $6.6 trillion if losses just to the US economy alone because nobody can free you and make AI do what they want it to do. And then of course, it's backed up with what's happening right now. For example, look at what meta is doing. This is worth looking up. They are offering package deals like multi-year contracts, just like a pro athlete or whatever worth up to $300 million for people who have AI skills. Not, you know, I built an app in 27 minutes and I'm going to sell it over the weekend with my bros people. But people did actually know how to make AI do stuff. And it's really freaking obvious that the not even the 1% you know, we're talking about fract like 0.05% of people on the planet right now can actually do that. All the money is going to be over to them and all of the control and power is going to be in their hands because they're the only ones who can make the magic machine work, which leads me to ask you, don't you think it might be worth taking the time to legitimately figure out how to build stuff with AI. It's not a thing about coding. AI can code itself and it's not about having the right, you know, chat GPT versus a quad or anthropic or groc or whatever. It's like arguing whether or not Chevrolet or Ford is a better pickup truck man. It's just doesn't matter. Jews won, right? The real key to being able to do stuff with AI and build things that make it work right is actually changing the way you think about it. And the magic trick that I found is when you go to AI, always ask it how to do things, don't tell it to do things. And train it to train itself to build stuff for you. For example, if you want to build an app that I don't know, research is the internet finds stuff that's going to be related to your industry, figures out how it's related to your industry, presents it to you on a silver platter, gives you bullet points so you could just like talk about it, you know, and avoid SMO on your phone. And then transcribes that audio removes all the, you know, blank spots or whatever and takes the transcripts and turns them into a written post for you creates an image based on what the post is about and then creates an Instagram reel using the good version of the voice memo you recorded with just yourself.
talking and turns that into a video that's got your actual voice, not some lame AI clone stuff. And just did all of that for you. Like, if you just go and ask AI, hey, this is what I'm trying to make happen. How would you do it if you were me? It'll tell you and it will train itself to actually do that. And the reason I know is because I built that thing for myself and no, I don't want to sell it to you or anybody else. Why would you want to buy that when you could just ask AI how to build it? Anyway, the point is, it's time to wake up, not to be afraid, but to say, okay, here's this extremely low-hanging fruit. This is unquestionably happening. What group do I want to be in? Do I want to be in the group of producers? The people who can actually make stuff that make the world work? Or do I want to be in the group of consumers, which is everybody else who depend on the producers? I don't know about you. I'm going to choose producers. Yeah, I'm not much of a life coach or anything, but if I were, I would say as your life coach, I strongly advise you to consider becoming one of the producers. Thanks for watching this video. Today, hope you enjoyed. See you in the next one.
Podcast Summary
Key Points:
Despite massive investment, 95% of corporate AI projects fail, leading to significant financial losses and widespread job layoffs driven by AI adoption.
A severe global shortage of skilled individuals exists; only a tiny fraction (0.05%) of the population can effectively build and implement working AI solutions.
This skills gap presents a historic opportunity, as businesses and individuals who master practical AI application will gain disproportionate control, profitability, and career security.
The key to success is not about specific tools or coding, but a mindset shift
Summary:
The transcription argues that while AI is causing significant disruption, including $285 billion in losses from failed corporate projects and massive job cuts, it simultaneously presents an unprecedented opportunity. 05% of the global population possesses the practical ability to build effective AI applications. This has created a stark divide.
On one side, most companies and workers face obsolescence. On the other, a small group of "producers" who can harness AI are seeing dramatically higher profitability and are in extreme demand, evidenced by multi-million dollar contracts for AI talent. The speaker contends that success does not require deep coding knowledge but a fundamental shift in approach: learning to ask AI *how* to accomplish tasks, thereby training it to create automated systems.
The urgent choice presented is to become a "producer" who builds with AI or remain a "consumer" dependent on them, framing current AI upheaval as a moment of historic, accessible opportunity for those who acquire the right skills.
FAQs
Companies spent $300 billion on AI projects last year, with a 95% failure rate, resulting in $285 billion in losses.
AI is causing significant layoffs, with 1.17 million people laid off in the U.S. in 2025, and predictions that AI will eliminate around 50% of entry-level white-collar jobs in the near future.
Companies using AI effectively are making 2.5 times more profit than those that don't, and 90% of early AI adopters report significantly higher profitability.
Only 0.05% of the global population knows how to build with AI successfully, which is about 1 in every 2,000 people.
AI projects fail because very few people have the skills to make AI work consistently, with only 0.35% of the population having used AI to build applications.
Projected losses due to ineffective AI adoption are estimated at $5.5 trillion globally and up to $6.6 trillion for the U.S. economy alone over the next few years.
Chat with AI
Loading...
Pro features
Go deeper with this episode
Unlock creator-grade tools that turn any transcript into show notes and subtitle files.