1 00:00:00,242 --> 00:00:03,212 ♪ [music] ♪ 2 00:00:06,878 --> 00:00:09,632 - [Narrator] Are there winners and losers of globalization? 3 00:00:09,632 --> 00:00:11,146 That's a big question you could tackle 4 00:00:11,146 --> 00:00:12,822 in a variety of ways. 5 00:00:13,252 --> 00:00:16,383 Are we talking about who's making more or less money? 6 00:00:16,383 --> 00:00:18,904 Whether inequality is better or worse? 7 00:00:18,904 --> 00:00:20,294 The environment? 8 00:00:20,294 --> 00:00:23,169 We'll tackle all these questions in upcoming videos. 9 00:00:24,447 --> 00:00:26,424 Let's start with the question of money -- 10 00:00:26,424 --> 00:00:28,696 who's making more or less of it. 11 00:00:28,696 --> 00:00:29,911 It's a bit complicated, 12 00:00:29,911 --> 00:00:32,862 but with the help of Tyler, Ian, and an elephant -- 13 00:00:32,862 --> 00:00:35,553 yes, an elephant -- we'll get to the answer. 14 00:00:35,922 --> 00:00:37,823 - [Tyler] So I think globalization has been good 15 00:00:37,823 --> 00:00:39,954 for virtually all groups, 16 00:00:39,954 --> 00:00:41,783 but the very biggest winners 17 00:00:41,783 --> 00:00:44,512 are the previously quite poor people. 18 00:00:44,512 --> 00:00:47,933 Big winners have been the wealthy and the very wealthy. 19 00:00:47,933 --> 00:00:49,576 People in the middle have gained, 20 00:00:49,576 --> 00:00:52,536 but, in percentage terms, by not nearly as much. 21 00:00:52,536 --> 00:00:54,404 - [Narrator] What is Tyler talking about? 22 00:00:54,404 --> 00:00:56,049 The elephant, of course. 23 00:00:56,584 --> 00:00:58,713 Let's take a look at a chart so famous 24 00:00:58,713 --> 00:01:00,298 it got its own mascot. 25 00:01:00,793 --> 00:01:02,887 This chart looks at the entire world, 26 00:01:02,887 --> 00:01:04,559 broken down by income. 27 00:01:05,110 --> 00:01:07,942 Over here, on the left, are the poorest of the poor. 28 00:01:07,942 --> 00:01:10,695 Remember, this is of the entire planet. 29 00:01:10,695 --> 00:01:13,543 Over here, on the right, are the most wealthy. 30 00:01:13,543 --> 00:01:15,267 If you're poor in a developed country, 31 00:01:15,267 --> 00:01:18,022 like the United States, you're not here, 32 00:01:18,022 --> 00:01:19,067 not even close. 33 00:01:19,067 --> 00:01:21,537 You'd fall somewhere around here. 34 00:01:21,537 --> 00:01:23,035 On the vertical, we're going to plot 35 00:01:23,035 --> 00:01:26,583 how much these people's living standards grew in 20 years, 36 00:01:26,583 --> 00:01:28,883 from 1988 to 2008. 37 00:01:29,404 --> 00:01:32,790 1988 to 2008 are the transformative years 38 00:01:32,790 --> 00:01:34,876 of the information revolution. 39 00:01:34,876 --> 00:01:38,433 1988 was still Globalization 2.0. 40 00:01:39,037 --> 00:01:42,083 The internet was tiny, the domain of a select few nerds, 41 00:01:42,523 --> 00:01:46,173 and a mobile phone looked like this and cost a fortune. 42 00:01:46,173 --> 00:01:49,545 The information revolution exploded over the next two decades. 43 00:01:50,103 --> 00:01:54,285 By 2008, we had graduated to Globalization 3.0. 44 00:01:57,095 --> 00:01:58,752 Companies leveraged this technology 45 00:01:58,752 --> 00:02:01,852 to slice and dice their factories into global supply chains 46 00:02:01,852 --> 00:02:04,332 and automate tasks with robots and software. 47 00:02:05,020 --> 00:02:06,820 The elephant visualizes the impact 48 00:02:06,820 --> 00:02:09,842 of this 20-year technology transformation. 49 00:02:09,842 --> 00:02:12,050 Let's start with the tail of the elephant. 50 00:02:12,050 --> 00:02:14,620 This is the poorest 5% of the world, 51 00:02:14,620 --> 00:02:16,140 and we don't see much growth -- 52 00:02:16,140 --> 00:02:19,870 only a 20% improvement in living standards over 20 years. 53 00:02:19,870 --> 00:02:21,170 These people live in countries 54 00:02:21,170 --> 00:02:24,141 too remote or too violent or too unpredictable 55 00:02:24,141 --> 00:02:26,831 to become integrated into global supply chains. 56 00:02:26,831 --> 00:02:28,180 As we move to the right, 57 00:02:28,180 --> 00:02:30,309 we can see the story changes quickly. 58 00:02:30,309 --> 00:02:34,322 There has been dramatic growth of 50, 60, even 70% 59 00:02:34,322 --> 00:02:35,860 in just 20 years. 60 00:02:35,860 --> 00:02:38,640 This is the back and the head of the elephant. 61 00:02:38,640 --> 00:02:40,320 Here we see the developing nations 62 00:02:40,320 --> 00:02:42,860 who were incorporated into these supply chains -- 63 00:02:42,860 --> 00:02:46,651 India, China, Mexico, Brazil and the like. 64 00:02:46,651 --> 00:02:48,820 For people who study the global economy, 65 00:02:48,820 --> 00:02:52,119 this development has been both exciting and inspiring. 66 00:02:52,344 --> 00:02:54,061 - [Ian] That's been the biggest development, 67 00:02:54,061 --> 00:02:57,660 not just in terms of globalization, but the entire planet 68 00:02:57,660 --> 00:02:59,432 for the last 40 years, 69 00:02:59,432 --> 00:03:01,220 is that a whole bunch of countries 70 00:03:01,220 --> 00:03:03,549 that we used to call "third world" -- 71 00:03:03,549 --> 00:03:06,066 they weren't even on the same planet as us! 72 00:03:06,066 --> 00:03:09,414 - There's a village in Mexico I visited many times. 73 00:03:09,414 --> 00:03:11,890 In that village, people could starve 74 00:03:11,890 --> 00:03:14,800 if they didn't have a good rain and a good harvest. 75 00:03:14,800 --> 00:03:17,739 They just grew corn, and hoped each year 76 00:03:17,739 --> 00:03:20,226 that they could grow enough corn to eat. 77 00:03:20,226 --> 00:03:21,940 People in that village, over time, 78 00:03:21,940 --> 00:03:24,990 they've diversified a way from growing corn. 79 00:03:24,990 --> 00:03:25,990 One thing they do 80 00:03:25,990 --> 00:03:28,969 is they make pottery and they paint pictures, 81 00:03:28,969 --> 00:03:31,970 and they sell these pictures and pottery abroad. 82 00:03:31,970 --> 00:03:35,640 They use email. They use Federal Express. 83 00:03:35,640 --> 00:03:36,861 And, every year, 84 00:03:36,861 --> 00:03:40,430 the income of that village has climbed steadily. 85 00:03:40,430 --> 00:03:43,630 So, today, there's a school in the village. 86 00:03:43,630 --> 00:03:46,648 No one in the village dies of starvation. 87 00:03:46,648 --> 00:03:48,769 Life is much more comfortable. 88 00:03:48,769 --> 00:03:50,090 There's electricity. 89 00:03:50,090 --> 00:03:51,691 People are much happier. 90 00:03:51,691 --> 00:03:53,891 - [Narrator] This sort of rise out of extreme poverty 91 00:03:53,891 --> 00:03:57,099 has been experienced by 1.1 billion people 92 00:03:57,099 --> 00:03:58,720 in the past few decades. 93 00:03:58,720 --> 00:04:00,458 1.1 billion! 94 00:04:00,458 --> 00:04:03,250 That number is so big, it's hard to wrap your head around. 95 00:04:03,250 --> 00:04:05,721 To get to 1.1 billion people 96 00:04:05,721 --> 00:04:09,735 you'd need all of the U.S., Mexico, and Canada... twice! 97 00:04:10,092 --> 00:04:12,611 Plus a side of France and Saudi Arabia. 98 00:04:12,611 --> 00:04:13,882 Seriously. 99 00:04:13,882 --> 00:04:15,810 Of course, getting out of extreme poverty 100 00:04:15,810 --> 00:04:19,160 isn't the ultimate goal, but it's a good first step. 101 00:04:19,160 --> 00:04:20,552 Back to the elephant. 102 00:04:20,552 --> 00:04:23,959 If we keep moving to the right, the story gets less rosy. 103 00:04:23,959 --> 00:04:26,368 Now we're moving into the working and middle classes 104 00:04:26,368 --> 00:04:28,890 of developed countries like the U.S., Canada, 105 00:04:28,890 --> 00:04:30,261 and Western Europe. 106 00:04:30,261 --> 00:04:31,262 As you can see, 107 00:04:31,262 --> 00:04:33,711 many of them have seen low or even no growth 108 00:04:33,711 --> 00:04:35,541 in a generation's time. 109 00:04:35,541 --> 00:04:38,791 It doesn't go negative, so, in that sense, on average, 110 00:04:38,791 --> 00:04:40,898 these people didn't lose money. 111 00:04:40,898 --> 00:04:43,529 But it's far below what was expected. 112 00:04:43,529 --> 00:04:46,041 This is the trunk of the elephant. 113 00:04:47,608 --> 00:04:50,599 - These middle-class workers in the developed economies, 114 00:04:50,599 --> 00:04:53,789 they're not only competing more with cheaper labor abroad, 115 00:04:53,789 --> 00:04:57,787 but they're also competing more against their own automations 116 00:04:57,787 --> 00:04:59,360 in their own countries, 117 00:04:59,360 --> 00:05:02,810 so this too has, to some extent, held down wages 118 00:05:02,810 --> 00:05:04,515 for some classes of workers. 119 00:05:04,930 --> 00:05:06,929 - [Narrator] Does this mean these workers make less 120 00:05:06,929 --> 00:05:09,346 than those in China, Mexico, and Brazil? 121 00:05:09,346 --> 00:05:10,361 No. 122 00:05:10,361 --> 00:05:13,021 Remember, the vertical axis doesn't compare income, 123 00:05:13,021 --> 00:05:15,765 but rather growth in income over 20 years. 124 00:05:16,864 --> 00:05:19,329 So while these middle-class workers in developed countries 125 00:05:19,329 --> 00:05:21,351 have seen much less income growth, 126 00:05:21,351 --> 00:05:23,740 because they had a much higher income to begin with, 127 00:05:23,740 --> 00:05:25,477 they still make far more 128 00:05:25,477 --> 00:05:27,863 than most workers in developing countries. 129 00:05:28,344 --> 00:05:30,451 What about the rest of the trunk? 130 00:05:30,451 --> 00:05:32,481 The higher you go up the income distribution 131 00:05:32,481 --> 00:05:34,171 the better it gets. 132 00:05:34,171 --> 00:05:38,252 The very richest have seen a 70% increase in their incomes 133 00:05:38,252 --> 00:05:39,681 over the span. 134 00:05:39,681 --> 00:05:42,140 Remember how "The Avengers" made a billion dollars 135 00:05:42,140 --> 00:05:43,770 in just 11 days? 136 00:05:43,770 --> 00:05:45,490 Those who reach global markets 137 00:05:45,490 --> 00:05:47,892 reap unprecedented rewards. 138 00:05:48,807 --> 00:05:50,470 Take a highly successful company 139 00:05:50,470 --> 00:05:51,710 like Apple. 140 00:05:52,134 --> 00:05:53,991 On the one hand, you have the designers, 141 00:05:53,991 --> 00:05:56,999 engineers, and marketers who have seen their fortunes rise 142 00:05:56,999 --> 00:05:59,249 as Apple's products sell across the globe. 143 00:06:00,586 --> 00:06:01,670 On the other hand, 144 00:06:01,670 --> 00:06:04,734 Apple products used to be manufactured in the U.S., 145 00:06:04,734 --> 00:06:08,690 but those jobs are gone -- either moved overseas or automated. 146 00:06:09,339 --> 00:06:12,840 When these middle-class workers look around, they see prosperity 147 00:06:12,840 --> 00:06:14,870 for everyone but them. 148 00:06:14,870 --> 00:06:18,045 On one side are places like China, India, and Mexico 149 00:06:18,045 --> 00:06:19,490 growing rapidly. 150 00:06:19,490 --> 00:06:22,771 On the other, they see the wealthy getting much wealthier. 151 00:06:23,552 --> 00:06:28,777 - And that is the working and middle class in rich countries -- 152 00:06:28,777 --> 00:06:33,049 here in the United States, and in Europe, Canada, 153 00:06:33,049 --> 00:06:35,288 Australia, even though no one ever talks about them, 154 00:06:35,288 --> 00:06:37,322 but they're a whole damn continent. 155 00:06:37,322 --> 00:06:39,852 All of those people 156 00:06:39,852 --> 00:06:43,093 suddenly are not getting the opportunities that they were. 157 00:06:43,093 --> 00:06:45,291 They believed that their lives were going to get better, 158 00:06:45,291 --> 00:06:47,620 and yet over the last 40 years, 159 00:06:47,620 --> 00:06:50,282 on balance, they've made no more money. 160 00:06:50,282 --> 00:06:52,058 And so as a consequence, 161 00:06:52,058 --> 00:06:56,091 you have a large number of people living in the wealthy countries 162 00:06:56,091 --> 00:06:59,470 that are really angry about globalization 163 00:06:59,470 --> 00:07:02,070 and free trade and open borders, 164 00:07:02,070 --> 00:07:08,565 and they're angry with that 1%, the 0.1%, the 0.01% 165 00:07:08,565 --> 00:07:11,630 that were telling them that globalization was great 166 00:07:11,630 --> 00:07:13,560 but that didn't actually benefit them. 167 00:07:13,560 --> 00:07:16,721 Yeah, they still were able to buy cheaper stuff, 168 00:07:16,721 --> 00:07:19,880 but if you no longer have a job 169 00:07:19,880 --> 00:07:24,950 and no one's making sure that you still have opportunities, 170 00:07:24,950 --> 00:07:27,681 then why would you want to support those people? 171 00:07:27,681 --> 00:07:29,679 And that's not just happening in the United States, 172 00:07:29,679 --> 00:07:34,370 that's actually happening all over the developed world today. 173 00:07:34,370 --> 00:07:37,230 - [Narrator] The natural question is to ask, "What's next?" 174 00:07:37,230 --> 00:07:40,971 Is the next 20 years going to be a repeat of the same elephant? 175 00:07:40,971 --> 00:07:42,431 Some other animal? 176 00:07:43,002 --> 00:07:46,239 Looking back, the story was the information revolution. 177 00:07:46,665 --> 00:07:47,892 Looking forward, 178 00:07:47,892 --> 00:07:51,124 it appears to be one of robots and artificial intelligence. 179 00:07:52,173 --> 00:07:54,184 - I talk to a lot of business people, 180 00:07:54,184 --> 00:07:56,670 and they all tell me that if they need to, 181 00:07:56,670 --> 00:08:00,248 they can make more money in the next ten years 182 00:08:00,248 --> 00:08:02,031 with fewer people, 183 00:08:02,031 --> 00:08:04,659 that almost every company you can think of 184 00:08:04,659 --> 00:08:07,970 is getting transformed by processes of automation 185 00:08:07,970 --> 00:08:11,468 that makes it easier for them to get things done. 186 00:08:11,776 --> 00:08:16,150 And that's true with banks that don't need as many tellers 187 00:08:16,150 --> 00:08:18,261 or as many financial analysts 188 00:08:18,261 --> 00:08:20,950 to determine where you should and shouldn't put your money. 189 00:08:20,950 --> 00:08:24,169 It can be done by algorithm and trading. 190 00:08:24,169 --> 00:08:27,540 Adidas has a new big sneaker company in Germany 191 00:08:27,540 --> 00:08:29,307 that has almost no people in it, 192 00:08:29,307 --> 00:08:32,161 because they can make all of these customized sneakers 193 00:08:32,161 --> 00:08:34,960 through a robotic process. 194 00:08:34,960 --> 00:08:38,900 Today, the vast majority of manufacturing jobs 195 00:08:38,900 --> 00:08:41,680 in the United States that go away 196 00:08:41,680 --> 00:08:44,908 are not being stolen by a cheaper worker in China. 197 00:08:44,908 --> 00:08:47,372 In fact, one estimate shows almost 90%, 198 00:08:47,372 --> 00:08:52,231 88% of all manufacturing jobs in the U.S. that are displaced 199 00:08:52,231 --> 00:08:55,250 are being displaced by robots. 200 00:08:55,326 --> 00:08:56,531 - [Robot] Reporting for duty. 201 00:08:56,591 --> 00:08:59,617 - [Narrator] The rise of automation is a source of much consternation 202 00:08:59,617 --> 00:09:02,056 in places like the U.S. and Europe, 203 00:09:02,056 --> 00:09:04,010 but it might actually impact those countries 204 00:09:04,010 --> 00:09:06,831 at the head of the elephant more than anyone else. 205 00:09:06,831 --> 00:09:09,300 - [Ian] So a country like China, 206 00:09:09,300 --> 00:09:12,341 or like Brazil or Mexico, 207 00:09:12,341 --> 00:09:15,410 benefitting enormously from jobs in the United States 208 00:09:15,410 --> 00:09:18,589 that went to them in the last 40 years, 209 00:09:18,589 --> 00:09:22,430 suddenly will be more vulnerable to the robots and the automation 210 00:09:22,430 --> 00:09:27,120 than the United States will be over the coming 10 to 20 years. 211 00:09:27,120 --> 00:09:29,481 That's a really significant change 212 00:09:29,481 --> 00:09:31,941 in how we think about globalization. 213 00:09:32,430 --> 00:09:34,558 - [Narrator] It's time to say goodbye to our elephant. 214 00:09:35,154 --> 00:09:37,191 Aggregating the lives of the entire planet 215 00:09:37,191 --> 00:09:38,555 into a single graph 216 00:09:38,555 --> 00:09:41,208 gives us a window into which groups won big 217 00:09:41,691 --> 00:09:43,292 and which did not. 218 00:09:43,641 --> 00:09:46,630 However, trying to represent hundreds of millions of lives 219 00:09:46,630 --> 00:09:47,821 with a single dot 220 00:09:47,821 --> 00:09:50,792 can feel disconnected from what the real impacts are. 221 00:09:51,531 --> 00:09:54,021 - Globalization -- it's a big concept. 222 00:09:54,021 --> 00:09:57,440 And it's important to realize, for any concept that big 223 00:09:57,440 --> 00:10:00,509 the correct way to think about it will be highly complex, 224 00:10:00,509 --> 00:10:02,651 and there will be many negatives. 225 00:10:02,651 --> 00:10:04,790 But, overall, the ledger, I think, 226 00:10:04,790 --> 00:10:08,191 is strongly positive on behalf of globalization. 227 00:10:08,191 --> 00:10:09,939 It's spread health improvements. 228 00:10:09,939 --> 00:10:12,720 It's given people longer lives, 229 00:10:12,720 --> 00:10:15,270 greater opportunities for children, 230 00:10:15,270 --> 00:10:17,299 overall higher wages. 231 00:10:17,299 --> 00:10:19,709 Many more countries are democracies, 232 00:10:19,709 --> 00:10:23,600 and the world today, largely because of globalization, 233 00:10:23,600 --> 00:10:27,879 is simply a much better, richer, and freer place 234 00:10:27,879 --> 00:10:30,255 than the world I initially grew up with. 235 00:10:30,606 --> 00:10:32,742 - [Narrator] In the next videos, we'll go beyond money 236 00:10:32,742 --> 00:10:35,992 to talk about inequality, the environment, and more. 237 00:10:42,160 --> 00:10:43,769 If you're a teacher, you should check out 238 00:10:43,769 --> 00:10:46,980 our globalization curriculum that incorporates this video. 239 00:10:47,476 --> 00:10:49,641 If you're a learner, make sure this video sticks 240 00:10:49,641 --> 00:10:51,691 by taking a few quick practice questions. 241 00:10:52,042 --> 00:10:54,071 Or, you can click to go to the next episode 242 00:10:54,071 --> 00:10:55,116 in the series 243 00:10:55,116 --> 00:10:57,329 or check out the entire series playlist. 244 00:10:58,001 --> 00:11:00,519 ♪ [music] ♪