So I want you to imagine something for a second. You're standing on a bitch, and it's perfect. The sun is out. The air is warm. You can smell the salt. But then you notice something a little strange. The water pulls back. I mean, it goes further out than you've ever seen. And the sand is suddenly just dry and exposed. It gets really quiet. And if you don't know what that means,
you might just think, huh, low tide. But that quiet, that drawback, That's the warning sign for a tsunami a wall of water moving at 800 kilometers per hour and that image that exact moment That's where the job market is right now last year 1 .1 million jobs gone at the exact same time Companies are just pouring billions into AI. It's not a wave It is a wall of water and most people are you know, they're just standing there on the sand looking at the seashells It's a really powerful
image and welcome to the deep dive today. We are not just going to talk about AI technology We're not talking about the newest chatbot We're looking at a blueprint for well for your own survival for thriving Really in a world that is shifting right under our feet, right? And our mission for this deep dive is super specific We want to move you from what the source material calls the flood zone And that's where like 99 % of people are to the high ground. The top 1
% who adapt. Exactly. So we have a roadmap. First, we're going to look at something called the rail test to figure out how safe you are right now. A quick diagnostic. Then a framework called script versus strategy for your actual work day. And finally, we'll get into the specific tools and the three Rs you need to, you know, build a career fortress. We have to get tactical because that water is coming back. And it is coming back fast. So let's stay with that metaphor for a second.
The flood zone versus the high ground, it feels, well, it feels a bit dramatic, doesn't it? Is it really that black and white? It feels dramatic until you look at the economics of it. I mean, the source puts it so bluntly. If your job can be done 100 % on a computer, you are in a direct fight with AI. And here's the really hard truth. You're fighting a robot that costs what? Pennies to operate. And it never sleeps. You know, I have to admit, when I read that, it really gave
me pause. I think we all have that sort of that late night worry, right? I know I do. I'm sitting there wondering, could a machine do my research faster? Could it structure my thoughts better? It's a very human feeling. Oh, totally. I think everyone feels that little hum of anxiety. But the high ground, it isn't about becoming some computer genius overnight. It's not about learning to code. It's about positioning. Positioning?
Yeah. The people who get wiped out are the ones who try to compete with the machine on the machine's terms. The high -grain is where you do what the machine just can't. So how does a listener know where they stand right now? You know, am I on the beach or am I on the hill? That's where the real test comes in. It's like a 50 -second diagnostic. Okay. R -A -I -L. Yep. Four questions, and if you answer no to two or more of them, you're in the danger zone. Okay. Let's walk through
them. What's R? R is for revenue. Does your work make money from real customers right now? So not potential money or or future money Exactly.
We've all been on those projects that are in eternal beta right or the department That's just researching in this new economy If you aren't tied to actual money coming in the door, you're vulnerable AI lets companies cut the fat with like surgical precision that seems harsh especially for people and say R &D or long -term strategy is harsh but the window for just pure research without a clear path to application, it's shrinking fast. OK, that brings us to A, acceleration.
Right. Can you deliver value to a user in two weeks? Two weeks? Wow. I mean, that seems incredibly fast for most big companies. It is. But speed is a new currency. If you're on a six -month cycle to ship a simple update, some AI -assisted competitor is going to do it in six days. If you can't move fast, you are standing still. And if you're standing still, The wave hits you. Right. OK. So speed matters. What's I? I is for
in market. Is the thing you're working on actually being used, or is it just sitting on a shelf? Is it a hobby, or is it a real business? Let me push back on that a little. What if my market is internal? You know, my boss is the consumer of my weekly report. Does that count? Ooh, that's a dangerous gray area. The source argues that internal validation is, well, it's awesome political. It's polite. Oh, great report. Thanks. But real market feedback from a paying customer, that's
honest. It's brutal. If you're only serving internal people, you are much closer to the flood zone than you think. OK. And finally, L. Learning. Are you learning from real customer mistakes every single day? Every day. Yeah. This is so crucial. AI models update constantly. If you're working off a playbook from three years ago or even six months ago, you're becoming obsolete. You have to be a learning machine yourself. Revenue acceleration in market learning. It's pretty
tough filter. So if that test comes back red, if you realize you're in that danger zone, where's the safe ground? You have to climb. You got to get with the source calls layer three. Layer three. OK, walk us through this map, because when people talk about AI, it's usually all about the big models or the chips. All right, so picture the AI industry like a pyramid. Three layers. Layer one, the foundation. That's infrastructure. The hardware. The hardware. The chips, the data
centers. This is Nvidia's world. The trillion dollar club. So we should ignore that. Unless you have a few billion dollars lying around. Yeah. Just ignore it. It's too expensive. OK, fair enough. Layer two. Layer two is the models. This is where you're open AI, you're Google, you're anthropic. This is where they live. They're building the brains. Chet, GPT, Claude. And it feels like that's where everyone wants to be, right? Everyone wants to build their own model.
And that is the trap. It is so crowded. And it's so hard to win. You're fighting absolute giants. The margins there are just going to race to zero. But then there's layer three. The application layer. The app. This is it. This is the big chance. This is where you use the intelligence from layer two to solve a really boring specific problem. for a normal person. Why is that safer? Why isn't it just as competitive? Because context is everything. See, open AI knows a little bit about everything,
generally. But it doesn't know the specific zoning laws for some small town in Ohio. It doesn't know the workflow of a dental practice in London. Layer 3 is all about taking that general brain and applying it to a very specific mess. So the opportunity isn't building the brain. It's like being the therapist who helps the brain deal with a specific patient's problem. Precisely. And there are three huge opportunities here. First is specific apps, solving those deep niche
problems. Second is service and setup, just being the person who holds an old school company's hand and teaches them how to use AI. And third is data help. just cleaning up the mess of information so the AI can even use it. It really reframes it. You don't have to build the rocket ship. You just have to know how to fly it for someone. Whoa. I mean, just imagine the scale of that. We're not fighting the model builders. We're
literally standing on their shoulders. You can take the smartest intelligence in human history and use it to help a local shop owner. That's massive. So once we're in that right layer, in layer three, how does our day -to -day work change? We have to separate script. from strategy. Okay the script versus strategy idea. I want to dig in here because most jobs are a mix aren't they? Oh yeah it's a mix but the ratio is shifting like violently. The script parts. Those are the
boring repetitive tasks. Yeah. You know typing data into a spreadsheet, writing the same basic email update over and over, summarizing meeting notes. It's anything that follows a set of rules. That's strategy. Strategy is the human stuff. It's creativity, empathy. Figuring out why a client is upset, not just reading their email. It's building trust. It's connecting dots that don't seem related. And the argument is that AI just... it eats the script for breakfast.
It creates this split reality. If you spend eight hours a day just following its script, you are in so much trouble. The robot does it faster, cheaper, and it never complains. So the advice is... to fire yourself. That sounds like career suicide. It's the big paradox of this whole thing. You have to fire yourself from the script to save your career. Okay, walk me through the practical steps. How do you fire yourself? It's a three -step plan. Step one, check your work. Seriously,
make two columns. Script versus strategy. And you have to be honest, if a machine could learn to do it, it goes in the script column. And step two? Step two is the firing. You use AI to automate everything in that left column. You don't wait for your boss to do it, you don't wait for IT. You become the first person to automate your own job. But okay, isn't the big fear here, if I automate my job, isn't my boss just gonna see that I'm doing less and like, you know, fire
me for real? That's the fear, 100%. But you have to think about the alternative. If you don't do it, a competitor will. Or a consultant will come in and do it for you. By doing it yourself, you buy yourself time for step three. The human side. You use all that time you saved for what they call deep work. Right. The walking, reading, thinking. Exactly. While everyone else is just drowning in their inbox, you're the one who's actually looking at the horizon, solving the
really expensive problems. So if we automate all those tasks, what are the human traits that protect us in the long run? It's what the source calls the three Rs. The things computers just can't replace. Let's hear them. OK, first is rigor. Deep, deep expertise. AI is a fantastic liar. It hallucinates. It gives you plausible -sounding nonsense. Rigor is your ability to look at an AI output and say, nope, that's wrong. So you have to be smarter than the machine just
to use the machine properly. You do. AI exposes laziness. Second R is relationships. Trust is the ultimate currency. An AI can simulate empathy, but it can't sit across from you, share a real vulnerability, buy you a coffee, and just listen. That human bond. That's what keeps clients. And the third R. Resilience. It's the raw ability to change. The tools we're talking about today might be gone in six months. The whole market could shift. If you crumble when your workflow
changes, you lose. Rigor, relationships, resilience. OK, we promised some secret weapons. What are the tools? Three specific ones. First up, perplexity AI. Right, for sourcing news and answers. It's for sourcing truth. See, unlike a normal chatbot, it actually cites its sources. It shows you where the information came from. In an age of deepfakes, perplexity is your anchor for rigor. Got it. OK, number two. Cursor. Now, don't tune out if
you're not a coder. It lets you build little apps or fix data just by asking for it in plain English. It helps you pass that acceleration test we were talking about. And the third tool. Gamma. It makes presentations. You just type in a topic, and it builds the whole slide deck formatting, images, everything. It stops you from wasting hours just moving text boxes around. It frees you from the script. But it's not just having the tool, is it? It's how you talk to
it. That's everything. It's the prompt. And the source has this consultant prompt that I just love. How does that one go? So you explain your problem to the AI, and then you add this line, act like a smart consultant. Tell me why those ways might fail so I can prepare a backup plan. Tell me why I might fail. That feels counterintuitive. It's brilliant. It forces the AI to be critical. You don't want a cheerleader. You want a sparring partner. So after all this, does the fear just
go away? No. But the fear turns into action. So let's recap this whole journey. We started with the tsunami, that threat of the job market pulling back. Yep. Then we diagnosed ourselves with that rail test. Revenue, acceleration, in -market, and learning. And if you failed that test, the advice is to move to layer three. You build apps, offer services, clean up data. You
don't try to fight the giants. Right. And you fire yourself from the script, all those repetitive tasks, so you can double down on strategy and the three Rs. Rigor, relationships, and resilience. And you use tools like perplexity, cursor, and gamma to stay on that high ground. You got it. The source ends with this metaphor that I think is a great place to leave people. It says, you are not a small wave that breaks. You are the ocean. I like that. Your value isn't your job
title, it's your ability to adapt. So tomorrow morning, try that consultant prompt on a hard problem. See what happens. See you on the high ground. Thanks for listening.