Transcription
If you open your phone right now, you're bombarded. Every day there's a new AI related headline. Chad GPT just passed the medical exam. Nvidia is now bigger than Apple. Amazon just laid off 16,000 corporate employees. It feels like we're standing in the middle of a hurricane. And the wind is moving so fast that we can't see where we're actually standing.
But if you turn down the volume on the hype, a very clear picture begins to emerge. We've been here before. We felt this when the steam engine replaced human muscle. We felt this when the spreadsheet replaced the calculator or when the internet replaced the library. And every single time the story we told ourselves about the end of work was wrong.
In this video, I want to step back from the daily news cycle and look at the decade ahead. I'm going to share 10 uncomfortable truths about where we're headed in the next 5 to 10 years and how to position yourself for it. Quick disclaimer, I'm not a financial adviser. I'm just a guy on the internet with an opinion. Always do your own research before investing. All right, let's do this.
To understand the magnitude of this shift, we first have to visualize the path we're on. Imagine a graph of human history. On the x-axis is time. On the y-axis is technological power. For the vast majority of human existence, that line is flat. If you were born in the year 1200, the world looked almost exactly the same when you died in 1260. Life was static.
Then we hit the industrial revolution. The line starts to slope upward. It's a gentle hill. We had decades to adjust to the steam engine. We had generations to get used to electricity. Even the internet, which felt incredibly fast to us, was actually a long 30-year ramp. It started with a screech of a dialup modem. Then slowly, businesses built static websites. Years later, we got social media. Then the smartphone put it in our pockets. That process took 30 years. It was a gentle slope. We had time to learn the rules.
But now look at AI. The graph doesn't look like a ramp anymore. It looks like a wall. We're standing at the bottom of a vertical line. We had our AOL moment with the launch of Chat GBT. But here's the critical difference. The Steam Engine didn't build the next Steam Engine. The internet didn't write its own code. AI does. Because this technology recursively improves because the AI helps build the next smarter AI. The adoption curve isn't taking decades. It's taking months. We're compressing a century of innovation into a time frame that the human brain struggles to comprehend. The question isn't what's happening. The question is how do we survive the climb?
To understand the future, we have to look at the last time we thought the world was ending. Let's go back to the 1980s. The world of finance was run by armies of accountants. These were people whose entire careers were built on manual calculation. They sat in rooms with physical ledgers adding columns of numbers by hand day after day. It was slow. It was tedious and it was their livelihood.
Then in 1985, Microsoft released Excel. The experts panicked. They looked at this software which could instantly calculate a thousand rows of data with a single click. And they said, "Well, this is the end of the accountant." Why would any company pay a human to do what a $100 piece of software can do instantly? The logic seemed sound. The math was automated. The job should have evaporated.
But that's not what happened. In the years following Excel's dominance, the number of accountants didn't go down. It went up. We have more accountants today than we did before spreadsheets existed. Why? Because when the cost of doing the math dropped to zero, the value of the accountant shifted. Companies stopped paying people to record the past. Instead, they started paying people to model the future. Suddenly, because the math was free, you could run scenarios. What if we expand to Asia? What if we raise prices by 2%. Questions that once required hours or even days of analysis could now generate informed estimates at the click of a button. The accountant became a strategist. The tool didn't replace the human. It elevated the human from a calculator to a pilot.
We need to address the elephant in the room. It's the fear. the unspoken tension in the room, the rational, unsettling question that lingers in everyone's mind and keeps people up at night. If an AI can write code, write emails, and design logos for free, why would anyone hire a human to do it? It sounds like basic math, right? If a robot does the job, the human loses that job.
But economics has a strange glitch that contradicts this. It's a phenomenon where making something more efficient actually leads to more consumption, not less. Think about the ATM. Go back to the 1970s. If you needed cash, you had to walk into a bank, wait in line, and talk to a human teller. It was slow, and for the bank, it was expensive. They had to pay a salary just to hand you $20.
Then the ATM arrived. Suddenly, a machine could do the job for free 24/7 without taking a lunch break. Every expert at the time made the same prediction. Well, this is the extinction of the bank teller. The math seemed obvious. Fewer humans needed per transaction equals fewer humans employed. But that's not what happened. Over the next 30 years, the number of human bank tellers didn't go down. It doubled.
Why? Well, because the ATM changed the economics of the bank branch. Before the ATM, opening a new branch was incredibly expensive because you needed an army of tellers just to handle the basic traffic. But with ATMs handling the cash, it became cheap to open a branch. So, banks didn't fire the tellers. They used the savings to open thousands more branches. They put a branch in every grocery store, every mall, every street corner. And because there were so many more branches, they actually needed more humans to staff them.
But here's the critical part. The job changed. The tellers weren't just human ATMs anymore. They weren't just counting bills. They were freed up to do higher value work. Selling mortgages, opening credit cards, solving complex problems. The machine took the drudgery and the human took the relationship.
Think about digital cameras. In the 1970s, when taking a photo cost money, you had to buy film and you had to pay to have the film developed. You took maybe 20 photos a year. You were careful. You only took pictures of weddings and birthdays because it was expensive. 20 years later, when digital cameras made taking a photo free, we couldn't stop taking pictures. And with smartphones today, where you literally just tap on a screen to capture a moment in super high quality, we take over two trillion photos a year. We take pictures of our lunch, our cats, our parking spots. We would have never taken that many photos with an expensive film camera. When the cost of doing something drops to zero, the volume goes to infinity.
This is the exact future of AI. Right now, we're looking at AI and thinking, well, it can write code, so we don't need programmers. But the paradox tells us the opposite will happen. When AI makes coding cheap, the cost of building a software company drops significantly. So, we don't stop building software. We'll put software in places we never dreamed of before. We'll have more projects, more startups, more niche tools than ever before. And just like the bank branch, that explosion in volume means we will need more humans to architect, manage, and guide these systems, not fewer. We aren't heading for a drought of work. We're going to build so much that the current internet will look like a brochure compared to a library.
Let's really drill down into what happens when the cost of creation drops to near zero. Right now, launching a piece of software is like releasing a Hollywood blockbuster. You need a huge budget, a massive crew of specialists, and a marketing machine. Because you spent $100 million making the film, you need a hundred million people to watch it just to break even.
But AI changes the economics. Software is becoming like an Instagram story. Think about it. You shoot a story in 3 seconds. It costs you nothing. You don't need a crew. You don't need a million viewers. You might just make it for your five best friends. And after 24 hours, it's gone. This is the future of software. We're moving from Blockbuster apps to disposable software. You can build an app just to organize one dinner party. You can build an app just to help your kids study for one history test. The barrier to entry drops from studio executive to teenager with phone.
This is what is about to happen as software. We're moving from an era of boutique software to disposable software. Currently, if you want an app that tracks your specific workout routine, perfectly tailored to your body type and your gym's equipment, you have to hope someone else built it. In the future, you'll just tell your phone, "Build me an app that tracks my lifting progress, knows I have a bad left knee, and reminds me to drink water every 20 minutes." And the AI will write the code, compile the app, and install it on your phone in 30 seconds. You might use that app for a week. Then when your knee heals, you delete it and tell the AI to build a new one. This isn't just more apps. This is a fundamental change in the nature of software. It becomes a fluid temporary utility like water from a tap. We're about to see 10,000 times more software projects, which means we need 10,000 times more people to dream them up.
Now, let's look at the battlefield. Who owns this new world? History tends to repeat itself. We're watching the social network wars of the early 2000s play out all over again, but with trillion dollar stakes. Right now, chatbt feels inevitable. It has the first mover advantage. It captured the cultural zeitgeist. But remember MySpace? MySpace was the king. It was the coolest place on the internet. It had the music, the custom backgrounds, the top eight friends. It felt like it had won, but it lost. And it lost fast.
Why? Well, because Facebook came along and offered something boring but powerful structure. Facebook organized the chaos. It mapped the real world onto the digital world. If Chat GBT is the MySpace of this era, the flashy exciting first mover, then Google's Gemini is positioning itself to be the Facebook. Why the data moat? An AI model is only as smart as the library it has read. Open AI has read the public internet. That's a big library. But Google, Google is the library. Google has indexed the entire web for nearly 30 years. But more importantly, they have the private data. They have your emails, your calendar, your location history, your documents, and they have access to 15 billion videos on YouTube. In the long run, the model with the deepest, most integrated data pipeline usually wins. The shiny new toy often loses to the giant that owns the plumbing. We're watching a war between the new cool and the deep infrastructure. And history tells us the infrastructure usually wins.
For the last 40 years, there's been a great wall dividing the world. On one side, you have the idea people. These were the dreamers, the creatives, the entrepreneurs who saw a problem and imagined a solution. On the other side, you had the execution people, the developers, the engineers, the people who spoke the arcane languages of Python, C++, and Java. If you were an idea person, you were powerless. You had to hire a high priest of technology to build your vision. You were locked out of the machine.
AI is the battering ram that knocks down that wall. For the first time in history, the barrier between thinking and creating is zero. English is the new coding language. If you can articulate a thought clearly, you can build a product. This is the missing piece of the digital revolution. We've spent decades building the tools, but only a tiny fraction of the population could use them. Now, everyone can use them. This will lead to a flood of innovation from people who were previously silenced. The nurse who has an idea for better patient tracking but can't code, she can build it now. The teacher who wants a specific tool for his classroom, he can build it now.
And when you combine this with global connectivity platforms like Starlink, which is bringing high-speed internet to remote villages, rural farmland, island nations, and entire regions long disconnected from the digital economy. The playing field doesn't just level, it expands. The monopoly on creation is over.
But we have to be realistic. Every time we open a new door in technology, wolves walk through it right alongside the sheep. Technological shifts always create a confusion gap. And in that gap, predators thrive. Look at the internet revolution. When email first went mainstream, what happened? The Nigerian print scam. It seems funny now, but it worked because people didn't understand the medium. They thought, "Why would someone lie on this official looking screen?"
Look at the crypto revolution. We saw the exact same pattern. The technology was confusing. The hype was high. And the scammers moved in. We got rugpools. We got Bitconnect. We got massive institutional failures like FTX and Celsius where billions of dollars evaporated because people trusted a black box they didn't understand.
Now look at the AI revolution. The weapon of choice this time isn't a fake email or a fake coin. It's fake reality. We're entering the age of the deep fake. We've already seen the seed dance videos. Clips that look 100% real with perfect lighting, perfect physics, and perfect audio, but are entirely fabricated. The scams of the future will be terrifyingly personal. Imagine getting a FaceTime call from your daughter. She looks like her. She sounds like her. She creates the specific facial expression she always makes. She says she's in trouble and needs you to wire money to her. And it's all a bot.
We're moving from an information age to a verification age. The most valuable asset in the next decade won't be content. It'll be proof that the content is real.
So, how do you survive this? How do you position yourself when the ground is moving? You have to stop thinking about the gold rush entirely. This isn't about finding a lucky nugget in the dirt. This is about recognizing that the operating system of the world is being rewritten. For the last century, the world ran on oil and steel. But for the next century, the world will run on intelligence and compute. The companies building the future aren't just selling tools. They're becoming the infrastructure of reality itself.
In this transition, you have two choices. Option one, be the pilot. You don't have to build the plane, but you have to know how to fly it. Don't be the accountant who refused to use Excel. Don't be the illustrator who refuses to use Midjourney. The AI won't take your job, but the person who uses AI to do your job in less than half the time will. You need to become a cyborg, combining your human taste with the machine speed.
Option two, own the infrastructure of the future. In 2012, the iPhone 5 had just launched. I looked around and everyone had one, including me. My friends were all on MacBooks. It felt obvious Apple wasn't going anywhere. So, I bought a massive chunk of the stock and I've held it ever since. It's up more than 1,200% over that stretch. If you're an investor, stop looking for the next app. Focus on the companies shaping the future. Those whose products will become the very fabric of society in a world transformed by AI. Who creates the chips that power the world's intelligence? Who owns the massive cloud networks where this intelligence lives and moves? And who produces the energy required to cool these massive data centers? We are witnessing the birth of a new kind of civilization. Don't just bet on the people living in it. Bet on the companies building it. If you ask me, I'm putting my chips in both option one and two.
Here's a strange economic truth. When something becomes infinite, it becomes worthless. AI is bringing the cost of content to zero. We're about to be drowning in infinite blog posts, marketing emails, AI generated images, and generic videos. So, in a world of abundance, what becomes expensive? Scarcity. And what is the one thing AI cannot generate? Humanity.
Think about furniture. You can go to IKEA and buy a chair for 50 bucks. It's laser cut, perfectly symmetrical, and manufactured by a robot. But people will pay $5,000 for a handcarved chair from a master woodworker. Why? Well, because it has flaws. It has a story. Because a human being spent time and sweat on it. We're going to see a return to organic. Just like we pay a premium for farm-to-table food, we'll start paying a premium for human to human connection. We'll value the handwritten note more than the perfect email. As the digital world fills up with synthetic slop, the value of certified human goes through the roof. People won't pay for information anymore. AI gives that for free. They'll pay for trust. They'll pay for connection and curation. They'll pay for the guarantee that there is a beating heart on the other side of the screen.
Your human imperfection, your specific sense of humor, your personal stories, even your mistakes, is no longer a bug. It's your most expensive feature. The human label is moving from a default setting to a luxury brand. In an age of artificial perfection, the human touch with all its vulnerability and error becomes the ultimate luxury good. People will happily pay more for 100% human because it's scarce in a world of AI generated abundance. And as every investor knows, scarcity is the only thing that actually has value.
I want to leave you with a hopeful thought. When the camera was invented in the 1800s, the painters panicked. For centuries, the job of a painter was to capture reality. If you wanted a portrait of your grandfather, you hired a painter. That was their utility. Then suddenly, a machine could do it perfectly, instantly, and cheaply. The painters thought, "Well, this is the end of art." But it wasn't. It was the liberation of art. Because the painters no longer had to capture reality, they were free to capture emotion. We got impressionism. We got cubism. We got surrealism. We got Van Gogh and Picasso. The machine handled the chores, leaving the human free to create the art.
AI is the camera for the human mind. It's going to take over the chore of thinking, the organizing, summarizing, basic coding, data entry, and scheduling. It's going to take the drudgery, and it's going to free us to do the real work, the strategic work, the creative and empathetic work. And if you thought Chad JBT was impressive the first time you used it, which I did and still do to this day, think about all the unfathomable magical applications that will appear in the next few years. In the year 2000, did you think one day you'd rent someone's house and sleep in their bed on a random Wednesday evening? Did you think you'd routinely hop into a stranger's car or a self-driving robo taxi? The future is bright. We are not at the end of human usefulness. Change is scary, but if you sift through the noise, and there's a lot of it, a clear picture of the future emerges. We're standing at the gates of a new renaissance. The only question is, are you going to walk through?
So, what do you think? Are you optimistic that AI will create an explosion of work for humans in the next 5 to 10 years, or you think we'll be left twiddling our thumbs while the robots take over all our jobs? Let me know in the comments below. Thanks for watching, and I'll see you in the next one.