WEBVTT 00:00:00.000 --> 00:00:01.740 So I want you to imagine something for a second. 00:00:02.020 --> 00:00:05.580 You're standing on a bitch, and it's perfect. 00:00:05.900 --> 00:00:07.860 The sun is out. The air is warm. You can smell 00:00:07.860 --> 00:00:11.519 the salt. But then you notice something a little 00:00:11.519 --> 00:00:14.119 strange. The water pulls back. I mean, it goes 00:00:14.119 --> 00:00:16.239 further out than you've ever seen. And the sand 00:00:16.239 --> 00:00:20.940 is suddenly just dry and exposed. It gets really 00:00:20.940 --> 00:00:23.260 quiet. And if you don't know what that means, 00:00:23.320 --> 00:00:25.940 you might just think, huh, low tide. But that 00:00:25.940 --> 00:00:29.420 quiet, that drawback, That's the warning sign 00:00:29.420 --> 00:00:34.140 for a tsunami a wall of water moving at 800 kilometers 00:00:34.140 --> 00:00:36.939 per hour and that image that exact moment That's 00:00:36.939 --> 00:00:39.700 where the job market is right now last year 1 00:00:39.700 --> 00:00:43.560 .1 million jobs gone at the exact same time Companies 00:00:43.560 --> 00:00:46.939 are just pouring billions into AI. It's not a 00:00:46.939 --> 00:00:49.960 wave It is a wall of water and most people are 00:00:49.960 --> 00:00:51.000 you know, they're just standing there on the 00:00:51.000 --> 00:00:53.600 sand looking at the seashells It's a really powerful 00:00:53.600 --> 00:00:56.520 image and welcome to the deep dive today. We 00:00:56.520 --> 00:00:58.619 are not just going to talk about AI technology 00:00:58.619 --> 00:01:00.380 We're not talking about the newest chatbot We're 00:01:00.380 --> 00:01:02.600 looking at a blueprint for well for your own 00:01:02.600 --> 00:01:05.319 survival for thriving Really in a world that 00:01:05.319 --> 00:01:08.159 is shifting right under our feet, right? And 00:01:08.159 --> 00:01:10.640 our mission for this deep dive is super specific 00:01:10.640 --> 00:01:13.120 We want to move you from what the source material 00:01:13.120 --> 00:01:16.840 calls the flood zone And that's where like 99 00:01:16.840 --> 00:01:20.620 % of people are to the high ground. The top 1 00:01:20.620 --> 00:01:24.019 % who adapt. Exactly. So we have a roadmap. First, 00:01:24.099 --> 00:01:25.700 we're going to look at something called the rail 00:01:25.700 --> 00:01:27.920 test to figure out how safe you are right now. 00:01:28.120 --> 00:01:31.260 A quick diagnostic. Then a framework called script 00:01:31.260 --> 00:01:34.379 versus strategy for your actual work day. And 00:01:34.379 --> 00:01:36.620 finally, we'll get into the specific tools and 00:01:36.620 --> 00:01:39.120 the three Rs you need to, you know, build a career 00:01:39.120 --> 00:01:41.840 fortress. We have to get tactical because that 00:01:41.840 --> 00:01:43.989 water is coming back. And it is coming back fast. 00:01:44.170 --> 00:01:45.870 So let's stay with that metaphor for a second. 00:01:46.230 --> 00:01:49.010 The flood zone versus the high ground, it feels, 00:01:49.569 --> 00:01:51.349 well, it feels a bit dramatic, doesn't it? Is 00:01:51.349 --> 00:01:53.730 it really that black and white? It feels dramatic 00:01:53.730 --> 00:01:56.030 until you look at the economics of it. I mean, 00:01:56.150 --> 00:01:59.549 the source puts it so bluntly. If your job can 00:01:59.549 --> 00:02:02.930 be done 100 % on a computer, you are in a direct 00:02:02.930 --> 00:02:05.969 fight with AI. And here's the really hard truth. 00:02:06.450 --> 00:02:08.389 You're fighting a robot that costs what? Pennies 00:02:08.389 --> 00:02:11.180 to operate. And it never sleeps. You know, I 00:02:11.180 --> 00:02:15.199 have to admit, when I read that, it really gave 00:02:15.199 --> 00:02:19.259 me pause. I think we all have that sort of that 00:02:19.259 --> 00:02:21.580 late night worry, right? I know I do. I'm sitting 00:02:21.580 --> 00:02:24.639 there wondering, could a machine do my research 00:02:24.639 --> 00:02:27.319 faster? Could it structure my thoughts better? 00:02:27.360 --> 00:02:29.800 It's a very human feeling. Oh, totally. I think 00:02:29.800 --> 00:02:32.120 everyone feels that little hum of anxiety. But 00:02:32.120 --> 00:02:35.060 the high ground, it isn't about becoming some 00:02:35.060 --> 00:02:37.819 computer genius overnight. It's not about learning 00:02:37.819 --> 00:02:40.800 to code. It's about positioning. Positioning? 00:02:40.840 --> 00:02:43.080 Yeah. The people who get wiped out are the ones 00:02:43.080 --> 00:02:45.379 who try to compete with the machine on the machine's 00:02:45.379 --> 00:02:47.419 terms. The high -grain is where you do what the 00:02:47.419 --> 00:02:49.900 machine just can't. So how does a listener know 00:02:49.900 --> 00:02:52.259 where they stand right now? You know, am I on 00:02:52.259 --> 00:02:53.939 the beach or am I on the hill? That's where the 00:02:53.939 --> 00:02:56.099 real test comes in. It's like a 50 -second diagnostic. 00:02:56.180 --> 00:03:00.159 Okay. R -A -I -L. Yep. Four questions, and if 00:03:00.159 --> 00:03:03.639 you answer no to two or more of them, you're 00:03:03.639 --> 00:03:05.379 in the danger zone. Okay. Let's walk through 00:03:05.379 --> 00:03:08.419 them. What's R? R is for revenue. Does your work 00:03:08.419 --> 00:03:10.819 make money from real customers right now? So 00:03:10.819 --> 00:03:14.039 not potential money or or future money Exactly. 00:03:14.039 --> 00:03:16.099 We've all been on those projects that are in 00:03:16.099 --> 00:03:18.979 eternal beta right or the department That's just 00:03:18.979 --> 00:03:22.319 researching in this new economy If you aren't 00:03:22.319 --> 00:03:24.419 tied to actual money coming in the door, you're 00:03:24.419 --> 00:03:28.039 vulnerable AI lets companies cut the fat with 00:03:28.039 --> 00:03:31.620 like surgical precision that seems harsh especially 00:03:31.620 --> 00:03:34.539 for people and say R &D or long -term strategy 00:03:34.539 --> 00:03:38.000 is harsh but the window for just pure research 00:03:38.000 --> 00:03:41.379 without a clear path to application, it's shrinking 00:03:41.379 --> 00:03:45.580 fast. OK, that brings us to A, acceleration. 00:03:45.919 --> 00:03:49.860 Right. Can you deliver value to a user in two 00:03:49.860 --> 00:03:52.120 weeks? Two weeks? Wow. I mean, that seems incredibly 00:03:52.120 --> 00:03:55.319 fast for most big companies. It is. But speed 00:03:55.319 --> 00:03:57.360 is a new currency. If you're on a six -month 00:03:57.360 --> 00:03:59.919 cycle to ship a simple update, some AI -assisted 00:03:59.919 --> 00:04:02.120 competitor is going to do it in six days. If 00:04:02.120 --> 00:04:04.259 you can't move fast, you are standing still. 00:04:04.259 --> 00:04:07.099 And if you're standing still, The wave hits you. 00:04:07.460 --> 00:04:10.020 Right. OK. So speed matters. What's I? I is for 00:04:10.020 --> 00:04:12.259 in market. Is the thing you're working on actually 00:04:12.259 --> 00:04:14.219 being used, or is it just sitting on a shelf? 00:04:14.319 --> 00:04:16.139 Is it a hobby, or is it a real business? Let 00:04:16.139 --> 00:04:19.160 me push back on that a little. What if my market 00:04:19.160 --> 00:04:22.399 is internal? You know, my boss is the consumer 00:04:22.399 --> 00:04:25.000 of my weekly report. Does that count? Ooh, that's 00:04:25.000 --> 00:04:27.720 a dangerous gray area. The source argues that 00:04:27.720 --> 00:04:31.139 internal validation is, well, it's awesome political. 00:04:31.279 --> 00:04:33.899 It's polite. Oh, great report. Thanks. But real 00:04:33.899 --> 00:04:36.959 market feedback from a paying customer, that's 00:04:36.959 --> 00:04:40.279 honest. It's brutal. If you're only serving internal 00:04:40.279 --> 00:04:43.000 people, you are much closer to the flood zone 00:04:43.000 --> 00:04:46.199 than you think. OK. And finally, L. Learning. 00:04:46.860 --> 00:04:49.019 Are you learning from real customer mistakes 00:04:49.019 --> 00:04:52.810 every single day? Every day. Yeah. This is so 00:04:52.810 --> 00:04:55.850 crucial. AI models update constantly. If you're 00:04:55.850 --> 00:04:57.990 working off a playbook from three years ago or 00:04:57.990 --> 00:05:00.009 even six months ago, you're becoming obsolete. 00:05:00.189 --> 00:05:02.370 You have to be a learning machine yourself. Revenue 00:05:02.370 --> 00:05:05.170 acceleration in market learning. It's pretty 00:05:05.170 --> 00:05:07.750 tough filter. So if that test comes back red, 00:05:08.670 --> 00:05:11.949 if you realize you're in that danger zone, where's 00:05:11.949 --> 00:05:13.610 the safe ground? You have to climb. You got to 00:05:13.610 --> 00:05:15.250 get with the source calls layer three. Layer 00:05:15.250 --> 00:05:17.029 three. OK, walk us through this map, because 00:05:17.029 --> 00:05:18.910 when people talk about AI, it's usually all about 00:05:18.910 --> 00:05:21.240 the big models or the chips. All right, so picture 00:05:21.240 --> 00:05:24.399 the AI industry like a pyramid. Three layers. 00:05:25.259 --> 00:05:27.180 Layer one, the foundation. That's infrastructure. 00:05:27.300 --> 00:05:30.319 The hardware. The hardware. The chips, the data 00:05:30.319 --> 00:05:34.120 centers. This is Nvidia's world. The trillion 00:05:34.120 --> 00:05:36.860 dollar club. So we should ignore that. Unless 00:05:36.860 --> 00:05:38.199 you have a few billion dollars lying around. 00:05:38.259 --> 00:05:41.160 Yeah. Just ignore it. It's too expensive. OK, 00:05:41.319 --> 00:05:43.920 fair enough. Layer two. Layer two is the models. 00:05:44.379 --> 00:05:47.279 This is where you're open AI, you're Google, 00:05:47.459 --> 00:05:50.120 you're anthropic. This is where they live. They're 00:05:50.120 --> 00:05:52.920 building the brains. Chet, GPT, Claude. And it 00:05:52.920 --> 00:05:54.620 feels like that's where everyone wants to be, 00:05:54.740 --> 00:05:56.240 right? Everyone wants to build their own model. 00:05:56.300 --> 00:05:59.279 And that is the trap. It is so crowded. And it's 00:05:59.279 --> 00:06:01.360 so hard to win. You're fighting absolute giants. 00:06:01.519 --> 00:06:03.339 The margins there are just going to race to zero. 00:06:03.839 --> 00:06:06.480 But then there's layer three. The application 00:06:06.480 --> 00:06:08.740 layer. The app. This is it. This is the big chance. 00:06:09.199 --> 00:06:11.240 This is where you use the intelligence from layer 00:06:11.240 --> 00:06:14.199 two to solve a really boring specific problem. 00:06:14.649 --> 00:06:17.470 for a normal person. Why is that safer? Why isn't 00:06:17.470 --> 00:06:20.050 it just as competitive? Because context is everything. 00:06:20.769 --> 00:06:22.970 See, open AI knows a little bit about everything, 00:06:23.110 --> 00:06:26.329 generally. But it doesn't know the specific zoning 00:06:26.329 --> 00:06:29.550 laws for some small town in Ohio. It doesn't 00:06:29.550 --> 00:06:32.009 know the workflow of a dental practice in London. 00:06:32.769 --> 00:06:34.850 Layer 3 is all about taking that general brain 00:06:34.850 --> 00:06:38.470 and applying it to a very specific mess. So the 00:06:38.470 --> 00:06:41.209 opportunity isn't building the brain. It's like 00:06:41.209 --> 00:06:43.089 being the therapist who helps the brain deal 00:06:43.089 --> 00:06:45.310 with a specific patient's problem. Precisely. 00:06:45.389 --> 00:06:48.129 And there are three huge opportunities here. 00:06:48.410 --> 00:06:51.810 First is specific apps, solving those deep niche 00:06:51.810 --> 00:06:55.490 problems. Second is service and setup, just being 00:06:55.490 --> 00:06:57.629 the person who holds an old school company's 00:06:57.629 --> 00:06:59.889 hand and teaches them how to use AI. And third 00:06:59.889 --> 00:07:02.519 is data help. just cleaning up the mess of information 00:07:02.519 --> 00:07:04.839 so the AI can even use it. It really reframes 00:07:04.839 --> 00:07:06.660 it. You don't have to build the rocket ship. 00:07:06.740 --> 00:07:08.800 You just have to know how to fly it for someone. 00:07:09.019 --> 00:07:11.100 Whoa. I mean, just imagine the scale of that. 00:07:11.300 --> 00:07:13.019 We're not fighting the model builders. We're 00:07:13.019 --> 00:07:14.579 literally standing on their shoulders. You can 00:07:14.579 --> 00:07:16.660 take the smartest intelligence in human history 00:07:16.660 --> 00:07:18.839 and use it to help a local shop owner. That's 00:07:18.839 --> 00:07:21.500 massive. So once we're in that right layer, in 00:07:21.500 --> 00:07:24.959 layer three, how does our day -to -day work change? 00:07:25.519 --> 00:07:28.560 We have to separate script. from strategy. Okay 00:07:28.560 --> 00:07:30.699 the script versus strategy idea. I want to dig 00:07:30.699 --> 00:07:33.180 in here because most jobs are a mix aren't they? 00:07:33.240 --> 00:07:35.160 Oh yeah it's a mix but the ratio is shifting 00:07:35.160 --> 00:07:38.600 like violently. The script parts. Those are the 00:07:38.600 --> 00:07:40.819 boring repetitive tasks. Yeah. You know typing 00:07:40.819 --> 00:07:43.240 data into a spreadsheet, writing the same basic 00:07:43.240 --> 00:07:45.939 email update over and over, summarizing meeting 00:07:45.939 --> 00:07:48.139 notes. It's anything that follows a set of rules. 00:07:48.279 --> 00:07:50.420 That's strategy. Strategy is the human stuff. 00:07:50.699 --> 00:07:54.500 It's creativity, empathy. Figuring out why a 00:07:54.500 --> 00:07:56.399 client is upset, not just reading their email. 00:07:57.019 --> 00:07:58.980 It's building trust. It's connecting dots that 00:07:58.980 --> 00:08:01.500 don't seem related. And the argument is that 00:08:01.500 --> 00:08:04.680 AI just... it eats the script for breakfast. 00:08:04.879 --> 00:08:07.579 It creates this split reality. If you spend eight 00:08:07.579 --> 00:08:09.819 hours a day just following its script, you are 00:08:09.819 --> 00:08:11.920 in so much trouble. The robot does it faster, 00:08:12.079 --> 00:08:14.199 cheaper, and it never complains. So the advice 00:08:14.199 --> 00:08:17.180 is... to fire yourself. That sounds like career 00:08:17.180 --> 00:08:19.540 suicide. It's the big paradox of this whole thing. 00:08:19.560 --> 00:08:21.079 You have to fire yourself from the script to 00:08:21.079 --> 00:08:23.459 save your career. Okay, walk me through the practical 00:08:23.459 --> 00:08:26.139 steps. How do you fire yourself? It's a three 00:08:26.139 --> 00:08:29.740 -step plan. Step one, check your work. Seriously, 00:08:29.879 --> 00:08:33.559 make two columns. Script versus strategy. And 00:08:33.559 --> 00:08:35.039 you have to be honest, if a machine could learn 00:08:35.039 --> 00:08:36.940 to do it, it goes in the script column. And step 00:08:36.940 --> 00:08:41.279 two? Step two is the firing. You use AI to automate 00:08:41.279 --> 00:08:43.889 everything in that left column. You don't wait 00:08:43.889 --> 00:08:45.750 for your boss to do it, you don't wait for IT. 00:08:46.330 --> 00:08:48.330 You become the first person to automate your 00:08:48.330 --> 00:08:51.330 own job. But okay, isn't the big fear here, if 00:08:51.330 --> 00:08:53.370 I automate my job, isn't my boss just gonna see 00:08:53.370 --> 00:08:56.169 that I'm doing less and like, you know, fire 00:08:56.169 --> 00:08:58.950 me for real? That's the fear, 100%. But you have 00:08:58.950 --> 00:09:01.029 to think about the alternative. If you don't 00:09:01.029 --> 00:09:04.049 do it, a competitor will. Or a consultant will 00:09:04.049 --> 00:09:06.049 come in and do it for you. By doing it yourself, 00:09:06.250 --> 00:09:08.379 you buy yourself time for step three. The human 00:09:08.379 --> 00:09:11.259 side. You use all that time you saved for what 00:09:11.259 --> 00:09:14.340 they call deep work. Right. The walking, reading, 00:09:14.720 --> 00:09:17.360 thinking. Exactly. While everyone else is just 00:09:17.360 --> 00:09:19.759 drowning in their inbox, you're the one who's 00:09:19.759 --> 00:09:22.000 actually looking at the horizon, solving the 00:09:22.000 --> 00:09:24.539 really expensive problems. So if we automate 00:09:24.539 --> 00:09:27.320 all those tasks, what are the human traits that 00:09:27.320 --> 00:09:29.519 protect us in the long run? It's what the source 00:09:29.519 --> 00:09:32.159 calls the three Rs. The things computers just 00:09:32.159 --> 00:09:34.200 can't replace. Let's hear them. OK, first is 00:09:34.200 --> 00:09:38.399 rigor. Deep, deep expertise. AI is a fantastic 00:09:38.399 --> 00:09:41.299 liar. It hallucinates. It gives you plausible 00:09:41.299 --> 00:09:44.080 -sounding nonsense. Rigor is your ability to 00:09:44.080 --> 00:09:47.480 look at an AI output and say, nope, that's wrong. 00:09:47.500 --> 00:09:49.399 So you have to be smarter than the machine just 00:09:49.399 --> 00:09:52.379 to use the machine properly. You do. AI exposes 00:09:52.379 --> 00:09:55.940 laziness. Second R is relationships. Trust is 00:09:55.940 --> 00:09:58.700 the ultimate currency. An AI can simulate empathy, 00:09:58.820 --> 00:10:00.879 but it can't sit across from you, share a real 00:10:00.879 --> 00:10:03.039 vulnerability, buy you a coffee, and just listen. 00:10:03.379 --> 00:10:06.059 That human bond. That's what keeps clients. And 00:10:06.059 --> 00:10:08.759 the third R. Resilience. It's the raw ability 00:10:08.759 --> 00:10:10.519 to change. The tools we're talking about today 00:10:10.519 --> 00:10:12.200 might be gone in six months. The whole market 00:10:12.200 --> 00:10:14.259 could shift. If you crumble when your workflow 00:10:14.259 --> 00:10:17.340 changes, you lose. Rigor, relationships, resilience. 00:10:17.580 --> 00:10:19.779 OK, we promised some secret weapons. What are 00:10:19.779 --> 00:10:22.759 the tools? Three specific ones. First up, perplexity 00:10:22.759 --> 00:10:25.840 AI. Right, for sourcing news and answers. It's 00:10:25.840 --> 00:10:28.940 for sourcing truth. See, unlike a normal chatbot, 00:10:29.220 --> 00:10:31.480 it actually cites its sources. It shows you where 00:10:31.480 --> 00:10:34.960 the information came from. In an age of deepfakes, 00:10:35.299 --> 00:10:38.059 perplexity is your anchor for rigor. Got it. 00:10:38.159 --> 00:10:41.220 OK, number two. Cursor. Now, don't tune out if 00:10:41.220 --> 00:10:43.279 you're not a coder. It lets you build little 00:10:43.279 --> 00:10:46.399 apps or fix data just by asking for it in plain 00:10:46.399 --> 00:10:48.440 English. It helps you pass that acceleration 00:10:48.440 --> 00:10:50.600 test we were talking about. And the third tool. 00:10:51.419 --> 00:10:54.149 Gamma. It makes presentations. You just type 00:10:54.149 --> 00:10:56.330 in a topic, and it builds the whole slide deck 00:10:56.330 --> 00:10:58.769 formatting, images, everything. It stops you 00:10:58.769 --> 00:11:00.950 from wasting hours just moving text boxes around. 00:11:01.230 --> 00:11:03.269 It frees you from the script. But it's not just 00:11:03.269 --> 00:11:05.049 having the tool, is it? It's how you talk to 00:11:05.049 --> 00:11:07.350 it. That's everything. It's the prompt. And the 00:11:07.350 --> 00:11:09.409 source has this consultant prompt that I just 00:11:09.409 --> 00:11:11.730 love. How does that one go? So you explain your 00:11:11.730 --> 00:11:13.730 problem to the AI, and then you add this line, 00:11:14.149 --> 00:11:17.210 act like a smart consultant. Tell me why those 00:11:17.210 --> 00:11:19.490 ways might fail so I can prepare a backup plan. 00:11:19.610 --> 00:11:23.309 Tell me why I might fail. That feels counterintuitive. 00:11:23.490 --> 00:11:26.149 It's brilliant. It forces the AI to be critical. 00:11:26.190 --> 00:11:28.269 You don't want a cheerleader. You want a sparring 00:11:28.269 --> 00:11:33.070 partner. So after all this, does the fear just 00:11:33.070 --> 00:11:36.929 go away? No. But the fear turns into action. 00:11:37.190 --> 00:11:39.769 So let's recap this whole journey. We started 00:11:39.769 --> 00:11:42.149 with the tsunami, that threat of the job market 00:11:42.149 --> 00:11:44.690 pulling back. Yep. Then we diagnosed ourselves 00:11:44.690 --> 00:11:47.850 with that rail test. Revenue, acceleration, in 00:11:47.850 --> 00:11:50.129 -market, and learning. And if you failed that 00:11:50.129 --> 00:11:52.610 test, the advice is to move to layer three. You 00:11:52.610 --> 00:11:55.789 build apps, offer services, clean up data. You 00:11:55.789 --> 00:11:58.029 don't try to fight the giants. Right. And you 00:11:58.029 --> 00:12:00.730 fire yourself from the script, all those repetitive 00:12:00.730 --> 00:12:03.710 tasks, so you can double down on strategy and 00:12:03.710 --> 00:12:06.889 the three Rs. Rigor, relationships, and resilience. 00:12:07.289 --> 00:12:09.750 And you use tools like perplexity, cursor, and 00:12:09.750 --> 00:12:11.970 gamma to stay on that high ground. You got it. 00:12:12.070 --> 00:12:13.870 The source ends with this metaphor that I think 00:12:13.870 --> 00:12:15.830 is a great place to leave people. It says, you 00:12:15.830 --> 00:12:17.850 are not a small wave that breaks. You are the 00:12:17.850 --> 00:12:21.340 ocean. I like that. Your value isn't your job 00:12:21.340 --> 00:12:24.000 title, it's your ability to adapt. So tomorrow 00:12:24.000 --> 00:12:26.899 morning, try that consultant prompt on a hard 00:12:26.899 --> 00:12:29.019 problem. See what happens. See you on the high 00:12:29.019 --> 00:12:30.120 ground. Thanks for listening.