1 00:00:00,200 --> 00:00:03,680 Speaker 1: Bill Gates is flat out wrong about AI destroying your job. 2 00:00:03,760 --> 00:00:06,640 Speaker 1: In fact, the data shows AI will create twice as 3 00:00:06,640 --> 00:00:07,520 Speaker 1: many jobs. 4 00:00:07,280 --> 00:00:09,200 Speaker 2: As it eliminates, and I can prove it. 5 00:00:09,320 --> 00:00:10,960 Speaker 1: What if I told you that we're currently in the 6 00:00:11,000 --> 00:00:14,360 Speaker 1: sixth wave of technological revolution. I've tracked for years in 7 00:00:14,400 --> 00:00:16,160 Speaker 1: my quantum leap waves framework. 8 00:00:16,400 --> 00:00:17,040 Speaker 2: Each of these. 9 00:00:16,920 --> 00:00:20,680 Speaker 1: Waves follows the exact same pattern and AI it's no exception. 10 00:00:21,079 --> 00:00:24,120 Speaker 1: After studying two hundred and fifty years of technological disruption 11 00:00:24,320 --> 00:00:26,759 Speaker 1: and accurately predicting multiple. 12 00:00:26,320 --> 00:00:29,000 Speaker 2: Market shifts, I've uncovered something. 13 00:00:28,640 --> 00:00:32,720 Speaker 1: Shocking about AI's impact on jobs that the billionaires don't 14 00:00:32,760 --> 00:00:35,239 Speaker 1: want you to know. I'm going to reveal five specific 15 00:00:35,240 --> 00:00:39,680 Speaker 1: industries where AI will create unprecedented wealth opportunities, plus the 16 00:00:39,760 --> 00:00:43,600 Speaker 1: one skill that will make you invaluable in the AI economy. 17 00:00:44,000 --> 00:00:48,199 Speaker 2: So let's go, Autificial intelligence could replace a quoted a 18 00:00:48,240 --> 00:00:51,920 Speaker 2: three hundred million from time jobs. Feel of AI taking 19 00:00:51,920 --> 00:00:52,960 Speaker 2: over human jobs? 20 00:00:53,120 --> 00:00:56,320 Speaker 1: You know, a great doctor, a great teacher, and with 21 00:00:56,440 --> 00:01:00,880 Speaker 1: AI over the next decade, that will become. 22 00:01:01,360 --> 00:01:03,080 Speaker 2: Free common places. All right? 23 00:01:03,160 --> 00:01:06,399 Speaker 1: So even seeing these headlines around everywhere lately, right, I mean, 24 00:01:06,680 --> 00:01:08,920 Speaker 1: pretty scary stuff. But what if I told you that 25 00:01:09,000 --> 00:01:12,360 Speaker 1: these predictions even from brilliant minds like Bill Gates, are 26 00:01:12,520 --> 00:01:18,480 Speaker 1: fundamentally misunderstanding how technological revolutions actually work. Now, if you've 27 00:01:18,520 --> 00:01:21,160 Speaker 1: been following my work, you know I've spent years researching 28 00:01:21,200 --> 00:01:24,680 Speaker 1: and documenting what I call quantum leap waves. There are 29 00:01:24,720 --> 00:01:29,240 Speaker 1: fifty year technology cycles that transform our economies and society 30 00:01:29,840 --> 00:01:33,000 Speaker 1: all throughout history. Now, drawing from the groundbreaking work of 31 00:01:33,040 --> 00:01:36,920 Speaker 1: Carlada Perez and her book Technological Revolutions and Financial Capital, 32 00:01:37,240 --> 00:01:41,560 Speaker 1: I've identified these reoccurring patterns that show how technology evolves, 33 00:01:41,720 --> 00:01:45,240 Speaker 1: its predictable waves, creating massive opportunities, of. 34 00:01:45,200 --> 00:01:46,600 Speaker 2: Course, for those who understand them. 35 00:01:46,800 --> 00:01:49,680 Speaker 1: Now, from the industrial revolution of seventeen seventy one to 36 00:01:49,960 --> 00:01:53,040 Speaker 1: steaming railways in eighteen twenty nine, steal electricity in eighteen 37 00:01:53,080 --> 00:01:57,520 Speaker 1: seventy five, oil automobiles in nineteen oh eight, telecommunications in 38 00:01:57,640 --> 00:02:02,040 Speaker 1: nineteen seventy one, and now the centralized tech revolution beginning 39 00:02:02,080 --> 00:02:04,600 Speaker 1: in twenty twenty one. Now, each of these waves, it 40 00:02:04,720 --> 00:02:09,680 Speaker 1: follows the same predictable pattern. Now, initial disruption and fear, 41 00:02:10,160 --> 00:02:13,640 Speaker 1: followed by massive job creation and economic expansion. 42 00:02:13,680 --> 00:02:14,640 Speaker 2: And this isn't theory. 43 00:02:15,080 --> 00:02:19,559 Speaker 1: It's a documented historical pattern that repeats with remarkable consistency. 44 00:02:19,960 --> 00:02:22,200 Speaker 2: So for those who don't know me, just real quick. 45 00:02:22,280 --> 00:02:24,960 Speaker 1: Now, I've been deeply involved in technology and investments for 46 00:02:25,080 --> 00:02:28,720 Speaker 1: over two decades. I've built and sold two different technology businesses. 47 00:02:28,960 --> 00:02:32,000 Speaker 1: I've been investing into early stage venture tech deals. Today 48 00:02:32,040 --> 00:02:34,520 Speaker 1: I'm a partner and a leading bitcoin venture fund, as 49 00:02:34,520 --> 00:02:38,240 Speaker 1: well as advisor to several tech bitcoin companies totally more 50 00:02:38,280 --> 00:02:40,200 Speaker 1: than half a billion dollars, which is why I spend 51 00:02:40,200 --> 00:02:43,160 Speaker 1: almost all my time analyzing these macro trends that affect 52 00:02:43,480 --> 00:02:46,280 Speaker 1: all of our financial futures. And I've been implementing AI 53 00:02:46,400 --> 00:02:49,000 Speaker 1: in my own businesses and I've seen firsthand how it. 54 00:02:48,919 --> 00:02:50,760 Speaker 2: Creates more opportunities than it eliminates. 55 00:02:51,040 --> 00:02:54,520 Speaker 1: But I also recognize the legitimate concerns that people have. 56 00:02:54,960 --> 00:02:57,720 Speaker 1: Now today I'm going to walk you through why Bill 57 00:02:57,760 --> 00:02:59,959 Speaker 1: Gates and other tech leaders are missing the big pig. 58 00:03:00,120 --> 00:03:03,800 Speaker 1: You're here, the historical evidence from previous technological revolutions, the 59 00:03:03,960 --> 00:03:08,560 Speaker 1: economic mechanics that drive job growth and destruction. I'm going 60 00:03:08,600 --> 00:03:11,080 Speaker 1: to give you five specific industries where AI will create 61 00:03:11,120 --> 00:03:13,520 Speaker 1: the most jobs and the one skill that you need 62 00:03:13,560 --> 00:03:17,079 Speaker 1: to be invaluable in the AI economy. Now, if you're 63 00:03:17,080 --> 00:03:19,560 Speaker 1: worried about your own job, whether you're looking for investment 64 00:03:19,600 --> 00:03:20,880 Speaker 1: opportunities in this space. 65 00:03:21,200 --> 00:03:23,360 Speaker 2: This analysis is going to change the way. 66 00:03:23,320 --> 00:03:26,320 Speaker 1: You view AI revolutions and it's going to show you 67 00:03:26,360 --> 00:03:29,000 Speaker 1: where we are in this current quantum le wave. But first, 68 00:03:29,000 --> 00:03:30,680 Speaker 1: if you're new here, just make sure to hit that 69 00:03:30,680 --> 00:03:32,959 Speaker 1: subscribe button and that bell notification real quick so you 70 00:03:33,000 --> 00:03:35,240 Speaker 1: don't miss out on any of these cutting edge analysis 71 00:03:35,280 --> 00:03:37,880 Speaker 1: videos so you can understand the forces that are shaping 72 00:03:37,880 --> 00:03:41,640 Speaker 1: our economic future. Now, let's first start by understanding exactly 73 00:03:41,920 --> 00:03:44,840 Speaker 1: what Bill Gates and others are claiming about AI and jobs. 74 00:03:45,120 --> 00:03:47,960 Speaker 1: You see, in a recent interview, Bill Gates said that quote, 75 00:03:48,040 --> 00:03:52,840 Speaker 1: AI will replace doctors and teachers in ten years, adding 76 00:03:52,880 --> 00:03:56,640 Speaker 1: that up to eighty to ninety percent of doctors, teachers, 77 00:03:56,680 --> 00:03:59,760 Speaker 1: and other white collar service providers will be put out 78 00:03:59,760 --> 00:04:00,000 Speaker 1: of work. 79 00:04:00,120 --> 00:04:02,800 Speaker 2: This is coming from the man who co founded Microsoft. 80 00:04:02,960 --> 00:04:05,360 Speaker 1: He's been at the forefront of the digital revolution, and 81 00:04:05,400 --> 00:04:09,520 Speaker 1: he's not alone these concerns, they're not new. All throughout history, 82 00:04:09,600 --> 00:04:14,040 Speaker 1: major technological shifts seem to always trigger the same fear. Now, 83 00:04:14,080 --> 00:04:16,920 Speaker 1: during the Industrial Revolution, there was a group called the Leddites. 84 00:04:17,080 --> 00:04:20,000 Speaker 1: They destroyed machinery that they believed threatened their jobs. When 85 00:04:20,040 --> 00:04:22,839 Speaker 1: computers entered the workforce in the nineteen seventies and eighties, 86 00:04:22,920 --> 00:04:27,000 Speaker 1: people feared that mass office worker displacement would happen when 87 00:04:27,040 --> 00:04:31,080 Speaker 1: the Internet emerged. Traditional retail and media jobs were supposedly doomed. 88 00:04:31,120 --> 00:04:33,279 Speaker 1: But here's where it Gates and others got it wrong. 89 00:04:33,720 --> 00:04:37,440 Speaker 1: They're looking at technologies in isolation rather than seeing them 90 00:04:37,480 --> 00:04:40,680 Speaker 1: as a larger economic cycle. Now, when I look at 91 00:04:40,720 --> 00:04:43,480 Speaker 1: my quantum leap waves model, I see that we're currently 92 00:04:43,480 --> 00:04:47,400 Speaker 1: in the early deployment phase of the decentralized tech revolution 93 00:04:47,720 --> 00:04:51,600 Speaker 1: that began around twenty twenty one. Now AI is at 94 00:04:51,520 --> 00:04:54,520 Speaker 1: a core technology of this wave, along with bitcoin and 95 00:04:54,560 --> 00:04:57,120 Speaker 1: the way they converge here, and it's just like the 96 00:04:57,160 --> 00:04:59,400 Speaker 1: steam engines was to the First Industrial Revolution. 97 00:05:00,120 --> 00:05:02,240 Speaker 2: And here's what Gates seemed to be missing. 98 00:05:02,640 --> 00:05:07,200 Speaker 1: While each wave does initially display some jobs, it consistently 99 00:05:07,279 --> 00:05:10,320 Speaker 1: creates far more new opportunities than it eliminates. 100 00:05:10,640 --> 00:05:11,640 Speaker 2: Let me show you the evidence. 101 00:05:11,760 --> 00:05:15,520 Speaker 1: Let's look at what actually happened during previous technological revolutions 102 00:05:15,760 --> 00:05:18,680 Speaker 1: in my quantum leap waves model. So the first one 103 00:05:18,760 --> 00:05:22,040 Speaker 1: up was the First Industrial Revolution, which was from seventeen 104 00:05:22,120 --> 00:05:25,000 Speaker 1: seventy one to the eighteen thirties, This was the original 105 00:05:25,040 --> 00:05:30,039 Speaker 1: tech disruption. Steam power, mechanized textile production and the first factories. 106 00:05:30,279 --> 00:05:32,680 Speaker 2: Now did it eliminate jobs? Yeah? 107 00:05:32,720 --> 00:05:37,480 Speaker 1: Absolutely, Traditional crafts people were crushed. Around eight percent of 108 00:05:37,480 --> 00:05:41,679 Speaker 1: Britain's population worked in what was called spinning in seventeen seventy. 109 00:05:41,960 --> 00:05:44,360 Speaker 2: When the spinning jenny and the. 110 00:05:44,080 --> 00:05:49,040 Speaker 1: Water frame came along, those traditional jobs disappeared practically overnight. 111 00:05:49,640 --> 00:05:52,880 Speaker 1: Sound familiar, right, But here's what most people don't realize 112 00:05:52,960 --> 00:05:56,840 Speaker 1: or don't think about. This revolution created entirely new categories 113 00:05:56,839 --> 00:06:01,760 Speaker 1: of jobs that never existed before. Factory worker operated new machinery. 114 00:06:02,080 --> 00:06:07,960 Speaker 1: Engineers designed and maintained those machines. Transportation workers handling, increased distribution, 115 00:06:08,440 --> 00:06:12,080 Speaker 1: coal miners as the energy man went up Clerks and 116 00:06:12,160 --> 00:06:13,280 Speaker 1: managers to. 117 00:06:13,080 --> 00:06:15,719 Speaker 2: Run these growing businesses. The numbers don't lie here. 118 00:06:15,960 --> 00:06:19,440 Speaker 1: Manchester UK grew from twenty five thousand people in seventeen 119 00:06:19,480 --> 00:06:25,159 Speaker 1: seventy one to over three hundred thousand by eighteen fifty one. 120 00:06:25,240 --> 00:06:28,960 Speaker 1: Richard Arkwright's factory in Cromford employed two hundred workers in 121 00:06:29,000 --> 00:06:33,320 Speaker 1: seventy seventy one, while later Ford would employ forty thousand. 122 00:06:33,000 --> 00:06:35,520 Speaker 2: Workers under one roof as Michigan plant. 123 00:06:35,560 --> 00:06:39,279 Speaker 1: If technology was killing jobs wages would have tanked. Instead, 124 00:06:39,560 --> 00:06:43,599 Speaker 1: they surged after an initial adjustment period. Now let's fast 125 00:06:43,640 --> 00:06:46,240 Speaker 1: forward to the second wave in my model, the age 126 00:06:46,279 --> 00:06:49,480 Speaker 1: of steam and railways. This was from eighteen twenty nine 127 00:06:49,680 --> 00:06:53,520 Speaker 1: to eighteen seventy three. This brought transportation revolution and early 128 00:06:53,600 --> 00:06:57,840 Speaker 1: factory systems, and yes, it also disrupted jobs again. Horse 129 00:06:57,920 --> 00:07:02,240 Speaker 1: drawn transportation, workers, traditional craftsmen, manual labors. 130 00:07:02,760 --> 00:07:06,919 Speaker 2: They all faced massive challenges. But let's look at the results. Entirely. 131 00:07:07,000 --> 00:07:11,960 Speaker 1: New industries emerged railways, locomotive manufacturing, the telegraph. We had 132 00:07:12,200 --> 00:07:16,200 Speaker 1: new commercial centers developed along these rail lines. International trade 133 00:07:16,200 --> 00:07:21,960 Speaker 1: expanded dramatically. New management occupations appeared everywhere. Between eighteen thirty 134 00:07:21,960 --> 00:07:26,360 Speaker 1: to eighteen seventy, the global economy experienced unprecedented growth, and 135 00:07:26,400 --> 00:07:30,400 Speaker 1: in the United States alone, manufacturing employment expanded four times. 136 00:07:30,520 --> 00:07:34,640 Speaker 1: As railway networks connected the entire country, we saw labor unions. 137 00:07:34,840 --> 00:07:38,000 Speaker 1: They grew massively during this period too, from about five 138 00:07:38,160 --> 00:07:41,160 Speaker 1: hundred strikes involving about one hundred and fifty thousand workers 139 00:07:41,240 --> 00:07:44,200 Speaker 1: annually in the early eighteen eighties to much larger numbers 140 00:07:44,240 --> 00:07:48,840 Speaker 1: by the eighteen nineties. Workers weren't disappearing their numbers, their 141 00:07:48,880 --> 00:07:52,640 Speaker 1: economic power was growing. Now, let's jump to the fourth, 142 00:07:52,880 --> 00:07:55,840 Speaker 1: the fourth quantum leap wave, which was the age of oil, 143 00:07:56,280 --> 00:07:59,160 Speaker 1: mass production, and automobiles. This is from nineteen oh eight 144 00:07:59,160 --> 00:08:02,280 Speaker 1: to nineteen seventy one one. Now everyone was sure that 145 00:08:02,360 --> 00:08:05,080 Speaker 1: assembly lines would make humans obsolete. 146 00:08:05,160 --> 00:08:06,360 Speaker 2: What about all the buggy makers? 147 00:08:06,360 --> 00:08:09,240 Speaker 1: When the cars were there, we saw craft manufacturing jobs, 148 00:08:09,320 --> 00:08:11,000 Speaker 1: traditional transportation roles. 149 00:08:11,680 --> 00:08:12,840 Speaker 2: They did get automated. 150 00:08:13,120 --> 00:08:17,200 Speaker 1: But what happened next, Well, the automobile industry created millions 151 00:08:17,200 --> 00:08:21,320 Speaker 1: of new jobs. Oil production, refining, distribution employed millions more 152 00:08:21,680 --> 00:08:27,080 Speaker 1: mass consumer goods industries. They exploded, advertising marketing, retail sector 153 00:08:27,160 --> 00:08:31,480 Speaker 1: grew exponentially. The suburbs began to develop, creating construction booms. 154 00:08:32,040 --> 00:08:35,080 Speaker 1: The fifth wave, the age of Information and telecommunications from 155 00:08:35,200 --> 00:08:38,760 Speaker 1: nineteen seventy one to twenty twenty one, brought computers and 156 00:08:38,800 --> 00:08:41,679 Speaker 1: the Internet. Now everyone was sure that these were going 157 00:08:41,720 --> 00:08:45,679 Speaker 1: to make humans obsolete. Some clerical jobs, some manufacturing positions, 158 00:08:45,920 --> 00:08:47,120 Speaker 1: data processing roles. 159 00:08:47,640 --> 00:08:50,160 Speaker 2: Some of those did get automated. But check this out, 160 00:08:50,400 --> 00:08:52,360 Speaker 2: But computers, robots, and arts. 161 00:08:52,360 --> 00:08:57,360 Speaker 1: Officially, intelligent systems are replacing people. People in computer occupations 162 00:08:57,400 --> 00:09:00,680 Speaker 1: increased from four hundred and fifty thousand nineteen seven to 163 00:09:00,840 --> 00:09:04,480 Speaker 1: four point six million by the year two thousand. Information 164 00:09:04,559 --> 00:09:07,199 Speaker 1: workers grew from thirty seven percent of the US workforce 165 00:09:07,320 --> 00:09:11,160 Speaker 1: in nineteen fifty to fifty nine percent by the year 166 00:09:11,200 --> 00:09:16,040 Speaker 1: two thousand. James Bessen from Boston University found computerized industries 167 00:09:16,120 --> 00:09:22,160 Speaker 1: actually experienced higher employment growth than non computerized industries. Interesting, right. 168 00:09:22,440 --> 00:09:26,160 Speaker 1: According to McKinzie, the personal computer and Internet created over 169 00:09:26,320 --> 00:09:28,079 Speaker 1: nineteen million jobs. 170 00:09:28,160 --> 00:09:32,640 Speaker 2: And that's not a mistake. We're talking nineteen million new jobs. 171 00:09:33,160 --> 00:09:35,600 Speaker 1: So are you starting to see the pattern in these 172 00:09:35,679 --> 00:09:40,719 Speaker 1: quantum leap waves? Every single technological revolution follows the same trajectory. 173 00:09:41,080 --> 00:09:45,960 Speaker 1: One initial job displacement in some specific sectors, two creation 174 00:09:46,040 --> 00:09:51,680 Speaker 1: of entirely new job categories, and three net positive job growth. 175 00:09:52,080 --> 00:09:55,360 Speaker 1: So all these predictions about AI destroying jobs, well, like 176 00:09:55,360 --> 00:09:57,400 Speaker 1: I said, we've heard it all before. We've been hearing 177 00:09:57,440 --> 00:10:00,480 Speaker 1: it for almost three hundred years, and histories can distantly 178 00:10:00,520 --> 00:10:05,360 Speaker 1: proven the pessimists are wrong. But understand why this happens. 179 00:10:05,640 --> 00:10:08,800 Speaker 1: To understand that, we have to understand the next thing, 180 00:10:09,000 --> 00:10:11,720 Speaker 1: and to really grasp why technology creates more jobs than 181 00:10:11,760 --> 00:10:15,760 Speaker 1: it eliminates. We need to understand five key economic mechanisms 182 00:10:16,000 --> 00:10:19,240 Speaker 1: that Bill Gates and others seem to be overlooking first 183 00:10:19,720 --> 00:10:24,080 Speaker 1: productivity and economic growth. Okay, this is basic economics that 184 00:10:24,120 --> 00:10:29,160 Speaker 1: most AI doom sayers ignore. When productivity increases, the entire 185 00:10:29,360 --> 00:10:34,120 Speaker 1: economic pie expands, more values created and the same resources 186 00:10:34,200 --> 00:10:38,080 Speaker 1: which generate wealth, and that wealth creates demand for new goods, 187 00:10:38,520 --> 00:10:42,600 Speaker 1: new services, and yes workers. During each quantum leap wave 188 00:10:42,640 --> 00:10:46,880 Speaker 1: in history, productivity gains drove unprecedented economic growth. In the 189 00:10:46,920 --> 00:10:50,840 Speaker 1: computer era, cities with high levels of computer adoption saw 190 00:10:50,960 --> 00:10:54,360 Speaker 1: faster economic and employment growth than those that lag behind. 191 00:10:54,960 --> 00:11:00,840 Speaker 1: Second complementary effects a small business owner, are you varied 192 00:11:01,000 --> 00:11:03,400 Speaker 1: in all types of work keeping you from the real 193 00:11:03,480 --> 00:11:06,079 Speaker 1: thing that makes you money? Well that's where just Works 194 00:11:06,120 --> 00:11:08,320 Speaker 1: comes in. They're the all in one platform that supports 195 00:11:08,400 --> 00:11:09,520 Speaker 1: small business growth. 196 00:11:09,720 --> 00:11:10,800 Speaker 2: You can get all. 197 00:11:10,679 --> 00:11:13,920 Speaker 1: Their tools that help with benefits like payroll and HR 198 00:11:14,000 --> 00:11:18,040 Speaker 1: and compliance with transparent pricing. Now they help you hire 199 00:11:18,080 --> 00:11:22,760 Speaker 1: top talent internationally, internew markets, quickly scale international operations without 200 00:11:22,800 --> 00:11:25,400 Speaker 1: the workload, and forevery how do I do it? 201 00:11:25,559 --> 00:11:25,839 Speaker 2: Question? 202 00:11:26,000 --> 00:11:28,360 Speaker 1: You can reach out to their expert staff from sole 203 00:11:28,440 --> 00:11:29,680 Speaker 1: proprietor or. 204 00:11:29,640 --> 00:11:30,440 Speaker 2: A team of twenty. 205 00:11:30,800 --> 00:11:34,400 Speaker 1: Just works empowers all kinds of small businesses with real 206 00:11:34,520 --> 00:11:38,840 Speaker 1: human support. So visit justworks dot com slash podcast to 207 00:11:38,960 --> 00:11:41,880 Speaker 1: join the thousands of small businesses that trust Just Works 208 00:11:42,000 --> 00:11:45,439 Speaker 1: to take care of payroll, benefits, compliance, and more. Again 209 00:11:45,600 --> 00:11:48,880 Speaker 1: that's justworks dot com slash podcasts. 210 00:11:49,720 --> 00:11:50,679 Speaker 2: This is the key. 211 00:11:50,559 --> 00:11:55,839 Speaker 1: Insight that most people completely miss. New technologies often complement 212 00:11:55,960 --> 00:11:59,520 Speaker 1: human labor rather than just replacing it. A recent MIT 213 00:11:59,679 --> 00:12:03,400 Speaker 1: research which suggested that AI is more likely to complement 214 00:12:03,640 --> 00:12:08,360 Speaker 1: than replace human workers. AI systems enhance human capabilities, enabling 215 00:12:08,400 --> 00:12:12,480 Speaker 1: workers to focus on higher value tasks while automation handles 216 00:12:12,600 --> 00:12:13,320 Speaker 1: routine work. 217 00:12:13,480 --> 00:12:14,200 Speaker 2: Think of it this way. 218 00:12:14,640 --> 00:12:19,119 Speaker 1: The computer didn't replace office workers. It made them more productive, 219 00:12:19,440 --> 00:12:21,760 Speaker 1: It made them more valuable, and the same thing is 220 00:12:21,800 --> 00:12:25,040 Speaker 1: happening with AI, but at an accelerated pace. The third 221 00:12:25,080 --> 00:12:27,680 Speaker 1: reason is that there's new industry creation. 222 00:12:28,120 --> 00:12:29,079 Speaker 2: Now. This is the big one. 223 00:12:29,320 --> 00:12:33,640 Speaker 1: Each quantum leap wave spawns entire new industries that no 224 00:12:33,679 --> 00:12:37,160 Speaker 1: one could have even thought of or predicted. The automobile industry, 225 00:12:37,320 --> 00:12:41,720 Speaker 1: it was unimaginable. For the internal combustion engine, it employed 226 00:12:41,800 --> 00:12:46,000 Speaker 1: millions directly and indirectly. The software and internet industries, they 227 00:12:46,040 --> 00:12:51,160 Speaker 1: were non existent before. Computers now employ tens of millions globally. 228 00:12:51,480 --> 00:12:54,520 Speaker 1: Now AI will create entire industries that we can't even 229 00:12:54,559 --> 00:12:57,520 Speaker 1: think of or imagine yet. The fourth reason is that 230 00:12:57,640 --> 00:13:02,960 Speaker 1: consumer demand expands. As technologies reduce costs and increase quality, 231 00:13:03,280 --> 00:13:07,199 Speaker 1: they expand markets, and they stimulate consumer demand. This increased 232 00:13:07,200 --> 00:13:12,079 Speaker 1: demand drives employment growth. As computing became more affordable, computer 233 00:13:12,200 --> 00:13:16,120 Speaker 1: ownership expanded dramatically, and that created jobs in production, sales, 234 00:13:16,160 --> 00:13:21,040 Speaker 1: support software development. And the fifth reason is skill based 235 00:13:21,200 --> 00:13:25,720 Speaker 1: technological change. Now, while technology may display certain routine tasks, 236 00:13:26,040 --> 00:13:29,280 Speaker 1: it increases demand for skilled workers who can work with 237 00:13:29,360 --> 00:13:33,120 Speaker 1: new technologies. Now, research by economists David Carr and John 238 00:13:33,160 --> 00:13:37,920 Speaker 1: Donardo shows that technological change has consistently increased demand for 239 00:13:37,960 --> 00:13:38,720 Speaker 1: skilled workers. 240 00:13:39,080 --> 00:13:39,320 Speaker 2: Now. 241 00:13:39,360 --> 00:13:44,120 Speaker 1: Together, these five mechanisms explain why every quantum lead wave 242 00:13:44,160 --> 00:13:45,440 Speaker 1: in history has been. 243 00:13:45,360 --> 00:13:46,600 Speaker 2: A net job creator. 244 00:13:47,240 --> 00:13:51,720 Speaker 1: But as AI truly comparable to past technologies, some say 245 00:13:51,720 --> 00:13:52,640 Speaker 1: it's more disruptive. 246 00:13:52,720 --> 00:13:54,040 Speaker 2: Well, let's look at the evidence. 247 00:13:54,120 --> 00:13:58,120 Speaker 1: Let's examine what's actually happening right now with AI and jobs. 248 00:13:58,559 --> 00:14:02,520 Speaker 1: Contradicting Bill gatesbridy okay. Well, according to the World Economic 249 00:14:02,640 --> 00:14:07,840 Speaker 1: Forms Future Jobs Report, approximately one hundred and seventy million 250 00:14:07,880 --> 00:14:12,120 Speaker 1: new jobs will be created this decade, significantly outpacing the 251 00:14:12,200 --> 00:14:15,959 Speaker 1: ninety two million jobs expected to be displaced. Technology related 252 00:14:16,000 --> 00:14:19,400 Speaker 1: roles are the fastest growing jobs in a percentage of terms. 253 00:14:19,880 --> 00:14:23,400 Speaker 1: AI and information processing technologies are expected to create new 254 00:14:23,440 --> 00:14:27,800 Speaker 1: employment opportunities in eighty six percent of surveyed companies. Linkedinn 255 00:14:27,840 --> 00:14:30,680 Speaker 1: data shows that as of November twenty twenty four, there 256 00:14:30,680 --> 00:14:34,120 Speaker 1: has been sixteen five hundred and ninety one new AI 257 00:14:34,240 --> 00:14:38,200 Speaker 1: job postings, a fifty nine percent increase just since January 258 00:14:38,240 --> 00:14:41,120 Speaker 1: of twenty twenty four. The US Bureau of Labor Statistics 259 00:14:41,160 --> 00:14:44,760 Speaker 1: projects employment of software developers to increase seventeen point nine 260 00:14:44,800 --> 00:14:48,320 Speaker 1: percent between twenty twenty three and twenty thirty three, much 261 00:14:48,360 --> 00:14:51,520 Speaker 1: faster than the average for all occupations. But it's not 262 00:14:51,640 --> 00:14:56,560 Speaker 1: just about the numbers. It's about entirely new job categories emerging. 263 00:14:57,200 --> 00:15:01,240 Speaker 1: For example, AI prompt engineers. These are specialists who can 264 00:15:01,280 --> 00:15:04,680 Speaker 1: craft queries to elicit optimal responses from aisystems. We have 265 00:15:05,120 --> 00:15:09,880 Speaker 1: AI ethic consultants, you know, they're professionally ensuring ethical AI implementation. 266 00:15:10,280 --> 00:15:13,520 Speaker 1: We have AI integration specialists, and these are experts who 267 00:15:13,560 --> 00:15:17,520 Speaker 1: implement AI solutions within business processes. We have machine learning 268 00:15:17,560 --> 00:15:21,240 Speaker 1: engineers who develop and build the optimized AI models. 269 00:15:21,280 --> 00:15:22,560 Speaker 2: We have AI trainers. 270 00:15:22,760 --> 00:15:24,880 Speaker 1: These are workers who help AI systems with you know, 271 00:15:24,960 --> 00:15:30,720 Speaker 1: human feedback, AI auditors, synthetic media designers, AI strategy consultants 272 00:15:30,720 --> 00:15:34,320 Speaker 1: I mean advisors who help organizations like mine implement AI effectively, 273 00:15:34,880 --> 00:15:38,640 Speaker 1: and so many more. Now, let me reveal five specific 274 00:15:38,680 --> 00:15:41,520 Speaker 1: industries where AI will create the most jobs in the 275 00:15:41,560 --> 00:15:46,440 Speaker 1: coming years. First, healthcare, AI is revolutionizing healthcare. It's creating 276 00:15:46,520 --> 00:15:51,080 Speaker 1: jobs and AI assisted diagnostics, personalized medicine, predictive healthcare, remote 277 00:15:51,120 --> 00:15:54,800 Speaker 1: patient monitoring, and healthcare AI market is projected to reach 278 00:15:54,880 --> 00:15:58,600 Speaker 1: one hundred and eighty eight billion by twenty thirty, creating 279 00:15:58,680 --> 00:16:03,360 Speaker 1: millions of new roles to education. Now, look, yes, AHI 280 00:16:03,520 --> 00:16:06,160 Speaker 1: is going to replace some teachers. It needs to, but 281 00:16:06,600 --> 00:16:10,720 Speaker 1: we're seeing AA create new educational roles and personalized learning systems, 282 00:16:10,960 --> 00:16:15,400 Speaker 1: adaptive curriculum development, educational content creation, and AI. 283 00:16:15,280 --> 00:16:16,520 Speaker 2: Enhanced teaching assistants. 284 00:16:16,960 --> 00:16:20,800 Speaker 1: We'll see it in creative industries AIS turbocharging content creation, 285 00:16:21,000 --> 00:16:25,640 Speaker 1: opening opportunities in AI assystem design, augmented creativity tools, synthetic 286 00:16:25,720 --> 00:16:29,560 Speaker 1: media production, content moderation. We're seeing it in financial services. 287 00:16:29,600 --> 00:16:34,239 Speaker 1: It's transforming finance with roles in algorithmic trading, personalized financial advising, 288 00:16:34,720 --> 00:16:40,720 Speaker 1: fraud detection systems, automated compliance monitoring, so much more transportation logistics, 289 00:16:40,720 --> 00:16:45,360 Speaker 1: from autonomous vehicle development to supply chain optimization AIS creating 290 00:16:45,440 --> 00:16:48,640 Speaker 1: high paying jobs all over in that sector. Let me 291 00:16:48,680 --> 00:16:51,200 Speaker 1: give you a real world example here. I was talking 292 00:16:51,200 --> 00:16:54,760 Speaker 1: to a friend who runs a marketing agency. Now, before AI, 293 00:16:54,800 --> 00:16:57,640 Speaker 1: he had a team of five people creating content. Now, 294 00:16:57,720 --> 00:17:00,720 Speaker 1: after implementing AI tools, he didn't fire anyone. 295 00:17:00,960 --> 00:17:03,280 Speaker 2: Instead, he tripled his client. 296 00:17:03,000 --> 00:17:06,359 Speaker 1: Base but only had to hire three more people because 297 00:17:06,359 --> 00:17:09,040 Speaker 1: of the AI systems and the ability to. 298 00:17:09,040 --> 00:17:10,080 Speaker 2: Scale their clients. 299 00:17:10,560 --> 00:17:13,720 Speaker 1: The fallacy and thinking is that just because people can 300 00:17:13,800 --> 00:17:15,680 Speaker 1: do more with less, that they're going to want to 301 00:17:15,720 --> 00:17:20,680 Speaker 1: do less. Like really, where in human experience shows us that. 302 00:17:22,080 --> 00:17:24,920 Speaker 2: It doesn't. Now, this is the complementary effect in action. 303 00:17:25,359 --> 00:17:29,200 Speaker 1: It's happening across all five industries I just mentioned. Recent 304 00:17:29,280 --> 00:17:31,760 Speaker 1: research from the Tony Blair Institute found that the net 305 00:17:31,880 --> 00:17:36,080 Speaker 1: impact of AI on unemployment is relatively modest, with a 306 00:17:36,119 --> 00:17:39,399 Speaker 1: peak increase of only three hundred and forty thousand unemployed 307 00:17:39,440 --> 00:17:43,040 Speaker 1: in twenty forty, a fraction of the total workforce. Even 308 00:17:43,040 --> 00:17:47,240 Speaker 1: in manufacturing, where automation fears are strongest, the evidence is surprising. 309 00:17:47,320 --> 00:17:50,280 Speaker 1: Studies from China show that employing robots has in many 310 00:17:50,320 --> 00:17:55,200 Speaker 1: cases increased firms, labor employment, labor productivity, and average wages. 311 00:17:55,560 --> 00:17:57,959 Speaker 1: The pattern we saw in previous quantum lead waves is 312 00:17:58,160 --> 00:18:01,879 Speaker 1: playing out again in AI, just like it was before, 313 00:18:01,920 --> 00:18:05,560 Speaker 1: but this time the transition is just happening faster. AI 314 00:18:05,720 --> 00:18:10,560 Speaker 1: isn't another technology. It's a general purpose technology, like electricity, 315 00:18:10,840 --> 00:18:13,800 Speaker 1: like computing, so it has applications. 316 00:18:13,119 --> 00:18:15,160 Speaker 2: Across virtually all industries. 317 00:18:15,680 --> 00:18:18,720 Speaker 1: Let me share five reasons why AI will ultimately create 318 00:18:18,800 --> 00:18:23,400 Speaker 1: more jobs than it eliminates, contrary to what Bill Gates believes, 319 00:18:23,600 --> 00:18:26,800 Speaker 1: what the other doomers believe. Okay, First, like I said, 320 00:18:26,840 --> 00:18:30,920 Speaker 1: AI is general purpose technology, so unlike a specialized technology 321 00:18:30,920 --> 00:18:35,120 Speaker 1: that only affects specific sectors, AI is transforming everything from 322 00:18:35,119 --> 00:18:39,600 Speaker 1: healthcare to entertainment, education, to manufacturing, finance to agriculture. General 323 00:18:39,600 --> 00:18:43,919 Speaker 1: purpose technology historically creates more jobs than it eliminates by 324 00:18:44,080 --> 00:18:47,520 Speaker 1: enabling all the new businesses, all the new business models, 325 00:18:47,560 --> 00:18:49,320 Speaker 1: the products and services. 326 00:18:48,840 --> 00:18:50,160 Speaker 2: Across the entire economy. 327 00:18:50,640 --> 00:18:55,280 Speaker 1: Second, AI complements human skills in unique ways. Now previous 328 00:18:55,280 --> 00:18:58,000 Speaker 1: technology is primarily automated physical tasks. 329 00:18:58,440 --> 00:19:01,080 Speaker 2: AI automates cognive tasks. 330 00:19:00,840 --> 00:19:03,840 Speaker 1: But in a way that enhances human capabilities rather than 331 00:19:03,920 --> 00:19:09,240 Speaker 1: fully replacing humans. Skills like creativity, emotional intelligence, ethical judgment, 332 00:19:09,359 --> 00:19:13,040 Speaker 1: and interpersonal communication remain difficult for AI to replicate. 333 00:19:13,520 --> 00:19:17,920 Speaker 2: The future is an AI or humans. It's AI and 334 00:19:18,080 --> 00:19:19,439 Speaker 2: humans working together. 335 00:19:19,920 --> 00:19:24,080 Speaker 1: This complementary relationship creates entirely new possibilities. 336 00:19:24,680 --> 00:19:26,800 Speaker 2: Third, massive global investment. 337 00:19:27,040 --> 00:19:30,960 Speaker 1: According to McKinsey research, AI spending grew to over five 338 00:19:31,080 --> 00:19:34,240 Speaker 1: hundred and fifty billion in twenty twenty four. That's half 339 00:19:34,280 --> 00:19:38,720 Speaker 1: a trillion dollars invested into AI development, implementation, and integration. 340 00:19:38,840 --> 00:19:41,960 Speaker 2: But where does that money go. Well, it goes into. 341 00:19:41,840 --> 00:19:45,960 Speaker 1: Hiring people, hiring engineers, hiring developers, hiring project managers, trainers, 342 00:19:46,000 --> 00:19:52,160 Speaker 1: compliance specialists, and more. Fourth, we'll see an unprecedented productivity growth. Now, 343 00:19:52,200 --> 00:19:56,160 Speaker 1: AI driven productivity gains are going to expand economic output 344 00:19:56,359 --> 00:19:59,240 Speaker 1: at rates that we probably have never seen before. Now, 345 00:19:59,600 --> 00:20:03,359 Speaker 1: some positions may be eliminated, but increased productivity leads to 346 00:20:03,440 --> 00:20:08,280 Speaker 1: lower prices, higher wages, and greater consumer spending that drives 347 00:20:08,400 --> 00:20:10,160 Speaker 1: job creation in new areas. 348 00:20:10,520 --> 00:20:13,320 Speaker 2: Fifth, adaptability of the economy. 349 00:20:13,400 --> 00:20:17,719 Speaker 1: Now, each previous technological revolution faced concerns about mass unemployment. 350 00:20:18,160 --> 00:20:22,960 Speaker 1: Yet economy is consistently adapted. New job categories emerged, workers 351 00:20:23,000 --> 00:20:27,000 Speaker 1: developed new skills and human labor found new applications that 352 00:20:27,119 --> 00:20:31,480 Speaker 1: complemented the technology. The pattern is clear across this quantum. 353 00:20:31,160 --> 00:20:33,800 Speaker 2: Lea waves that we've looked at. There's no reason to 354 00:20:33,800 --> 00:20:35,000 Speaker 2: believe that this time is different. 355 00:20:35,240 --> 00:20:38,719 Speaker 1: In fact, the evidence suggests that AI will create jobs 356 00:20:38,800 --> 00:20:42,760 Speaker 1: even faster than previous technologies did. Now, let me reveal 357 00:20:43,040 --> 00:20:45,960 Speaker 1: the one skill that will make you invaluable in the 358 00:20:46,000 --> 00:20:51,800 Speaker 1: AI economy. It's AI Human interface expertise. Basically being a 359 00:20:51,880 --> 00:20:57,679 Speaker 1: human the ability to effectively collaborate with direct and complement 360 00:20:57,720 --> 00:21:01,439 Speaker 1: AI systems. Now, this isn't just about technological knowledge. It's 361 00:21:01,480 --> 00:21:07,200 Speaker 1: about understanding where human judgment, human creativity, emotional intelligence can 362 00:21:07,240 --> 00:21:10,679 Speaker 1: add value that the AA cannot replicate. It's about becoming 363 00:21:10,720 --> 00:21:14,040 Speaker 1: the bridge between AI capabilities and human needs. This is 364 00:21:14,040 --> 00:21:16,320 Speaker 1: why I believe that AI will never replace me, at 365 00:21:16,440 --> 00:21:21,400 Speaker 1: least completely. Okay, so how do you develop these invaluable skills? Well, 366 00:21:21,440 --> 00:21:25,920 Speaker 1: here's your action plan. First, develop AI complementary skills. 367 00:21:26,080 --> 00:21:27,600 Speaker 2: Focus on skills that AI. 368 00:21:27,440 --> 00:21:32,880 Speaker 1: Can't easily replicate or that work alongside AI, like creativity, innovation, 369 00:21:33,400 --> 00:21:38,240 Speaker 1: emotional intelligence and interpersonal communication, critical thinking and complex problem solving, 370 00:21:38,400 --> 00:21:42,040 Speaker 1: ethical judgment decision making, AI literacy, so you can understand 371 00:21:42,040 --> 00:21:46,200 Speaker 1: how to work with AI tools. Second, stay adaptable, embrace 372 00:21:46,280 --> 00:21:49,960 Speaker 1: continuous learning. The most successful people in the AI era 373 00:21:50,080 --> 00:21:53,720 Speaker 1: will be those who can continually adapt to changing technology, 374 00:21:54,359 --> 00:21:57,360 Speaker 1: make learning a daily habit, take online courses. 375 00:21:57,080 --> 00:21:59,280 Speaker 2: Join communities, experiment with new tools. 376 00:22:00,640 --> 00:22:04,760 Speaker 1: Look for opportunities in the five high growth AI sectors. 377 00:22:04,440 --> 00:22:05,440 Speaker 2: I mentioned them before. 378 00:22:05,640 --> 00:22:11,399 Speaker 1: These five industries are healthcare, education, creative industries, financial services, 379 00:22:11,440 --> 00:22:16,879 Speaker 1: and transportational logistics. Fourth, consider entrepreneur opportunities. The biggest winners 380 00:22:16,880 --> 00:22:20,280 Speaker 1: in quantum leap waves are often entrepreneurs who create new 381 00:22:20,280 --> 00:22:23,440 Speaker 1: products and services, So look for problems that AI can 382 00:22:23,480 --> 00:22:27,080 Speaker 1: help solve or ways to implement AI in existing industries. 383 00:22:27,600 --> 00:22:31,440 Speaker 1: And finally, fifth, position your investments. Just as we've discussed 384 00:22:31,440 --> 00:22:35,200 Speaker 1: with bitcoin and other transformative technologies, early investors in AI 385 00:22:35,280 --> 00:22:37,919 Speaker 1: stand to gain significantly, so you want to look for 386 00:22:37,960 --> 00:22:43,440 Speaker 1: companies that are developing AI infrastructure applications complementary technologies. Remember, 387 00:22:44,119 --> 00:22:47,320 Speaker 1: as I say, the game is rigged. The wealthy understand 388 00:22:47,359 --> 00:22:49,640 Speaker 1: how to play the game to their advantage, and when 389 00:22:49,680 --> 00:22:51,800 Speaker 1: it comes to AI, the game will be won by 390 00:22:51,880 --> 00:22:55,320 Speaker 1: those who embrace this technology and find ways to leverage it, 391 00:22:55,960 --> 00:22:57,520 Speaker 1: not those who fear it. 392 00:22:57,560 --> 00:22:58,399 Speaker 2: And try to resist it. 393 00:22:58,720 --> 00:23:01,560 Speaker 1: Now, the further ahead you can see, the faster you 394 00:23:01,600 --> 00:23:04,720 Speaker 1: can go, and now you can see exactly what's coming, 395 00:23:04,760 --> 00:23:05,520 Speaker 1: the biggest job. 396 00:23:05,400 --> 00:23:08,880 Speaker 2: Creation boom in human history. So let's wrap this up. 397 00:23:09,119 --> 00:23:12,040 Speaker 1: I've shown you why Bill Gates is wrong, how every 398 00:23:12,200 --> 00:23:16,240 Speaker 1: quantum leap wave creates more jobs, the five economic mechanisms 399 00:23:16,240 --> 00:23:19,160 Speaker 1: that drive technology and job creation, the five industries where 400 00:23:19,200 --> 00:23:22,640 Speaker 1: AI will create millions, and the one invaluable. 401 00:23:22,080 --> 00:23:24,720 Speaker 2: Skill to make you AI proof. 402 00:23:24,760 --> 00:23:27,359 Speaker 1: History doesn't repeat, but it rhymes, and the rhythm of 403 00:23:27,359 --> 00:23:31,320 Speaker 1: technological progress across quantum leap waves has always been the same, 404 00:23:31,680 --> 00:23:35,359 Speaker 1: short term disruption followed by long term job creation and prosperity. 405 00:23:35,680 --> 00:23:36,960 Speaker 2: This time is not going to be any different. 406 00:23:37,040 --> 00:23:41,159 Speaker 1: In fact, the AI revolution will create more opportunities, more wealth, 407 00:23:41,320 --> 00:23:44,120 Speaker 1: and more jobs than any technological shift we've ever seen. 408 00:23:44,600 --> 00:23:47,720 Speaker 1: The question isn't whether AI will take your job, it's 409 00:23:47,760 --> 00:23:50,720 Speaker 1: whether you'll be ready to seize the new opportunities it creates. 410 00:23:51,320 --> 00:23:54,480 Speaker 1: And it's also changed the entire financial markets and creating 411 00:23:54,520 --> 00:23:56,760 Speaker 1: what I call the investing black hole. 412 00:23:57,080 --> 00:23:57,720 Speaker 2: Click here if you. 413 00:23:57,720 --> 00:23:59,480 Speaker 1: Want to learn how to pivot your investments to get 414 00:23:59,480 --> 00:24:02,600 Speaker 1: ahead in this new age, and hit that like button 415 00:24:02,600 --> 00:24:04,840 Speaker 1: if you liked this video, suscribe if you haven't already subscribed. 416 00:24:05,000 --> 00:24:08,080 Speaker 1: And that's what I got to your success. 417 00:24:08,760 --> 00:24:08,800 Speaker 2: M