WEBVTT 00:00:00.242 --> 00:00:03.212 ♪ [music] ♪ 00:00:06.878 --> 00:00:09.632 - [Narrator] Are there winners and losers of globalization? 00:00:09.632 --> 00:00:11.146 That's a big question you could tackle 00:00:11.146 --> 00:00:12.822 in a variety of ways. 00:00:13.252 --> 00:00:16.383 Are we talking about who's making more or less money? 00:00:16.383 --> 00:00:18.904 Whether inequality is better or worse? 00:00:18.904 --> 00:00:20.294 The environment? 00:00:20.294 --> 00:00:23.169 We'll tackle all these questions in upcoming videos. 00:00:24.447 --> 00:00:26.424 Let's start with the question of money -- 00:00:26.424 --> 00:00:28.696 who's making more or less of it. 00:00:28.696 --> 00:00:29.911 It's a bit complicated, 00:00:29.911 --> 00:00:32.862 but with the help of Tyler, Ian, and an elephant -- 00:00:32.862 --> 00:00:35.553 yes, an elephant -- we'll get to the answer. 00:00:35.922 --> 00:00:37.823 - [Tyler] So I think globalization has been good 00:00:37.823 --> 00:00:39.954 for virtually all groups, 00:00:39.954 --> 00:00:41.783 but the very biggest winners 00:00:41.783 --> 00:00:44.512 are the previously quite poor people. 00:00:44.512 --> 00:00:47.933 Big winners have been the wealthy and the very wealthy. 00:00:47.933 --> 00:00:49.576 People in the middle have gained, 00:00:49.576 --> 00:00:52.536 but, in percentage terms, by not nearly as much. 00:00:52.536 --> 00:00:54.404 - [Narrator] What is Tyler talking about? 00:00:54.404 --> 00:00:56.049 The elephant, of course. 00:00:56.584 --> 00:00:58.713 Let's take a look at a chart so famous 00:00:58.713 --> 00:01:00.298 it got its own mascot. 00:01:00.793 --> 00:01:02.887 This chart looks at the entire world, 00:01:02.887 --> 00:01:04.559 broken down by income. 00:01:05.110 --> 00:01:07.942 Over here, on the left, are the poorest of the poor. 00:01:07.942 --> 00:01:10.695 Remember, this is of the entire planet. 00:01:10.695 --> 00:01:13.543 Over here, on the right, are the most wealthy. 00:01:13.543 --> 00:01:15.267 If you're poor in a developed country, 00:01:15.267 --> 00:01:18.022 like the United States, you're not here, 00:01:18.022 --> 00:01:19.067 not even close. 00:01:19.067 --> 00:01:21.537 You'd fall somewhere around here. 00:01:21.537 --> 00:01:23.035 On the vertical, we're going to plot 00:01:23.035 --> 00:01:26.583 how much these people's living standards grew in 20 years, 00:01:26.583 --> 00:01:28.883 from 1988 to 2008. 00:01:29.404 --> 00:01:32.790 1988 to 2008 are the transformative years 00:01:32.790 --> 00:01:34.876 of the information revolution. 00:01:34.876 --> 00:01:38.433 1988 was still Globalization 2.0. 00:01:39.037 --> 00:01:42.083 The internet was tiny, the domain of a select few nerds, 00:01:42.523 --> 00:01:46.173 and a mobile phone looked like this and cost a fortune. 00:01:46.173 --> 00:01:49.545 The information revolution exploded over the next two decades. 00:01:50.103 --> 00:01:54.285 By 2008, we had graduated to Globalization 3.0. 00:01:57.095 --> 00:01:58.752 Companies leveraged this technology 00:01:58.752 --> 00:02:01.852 to slice and dice their factories into global supply chains 00:02:01.852 --> 00:02:04.332 and automate tasks with robots and software. 00:02:05.020 --> 00:02:06.820 The elephant visualizes the impact 00:02:06.820 --> 00:02:09.842 of this 20-year technology transformation. 00:02:09.842 --> 00:02:12.050 Let's start with the tail of the elephant. 00:02:12.050 --> 00:02:14.620 This is the poorest 5% of the world, 00:02:14.620 --> 00:02:16.140 and we don't see much growth -- 00:02:16.140 --> 00:02:19.870 only a 20% improvement in living standards over 20 years. 00:02:19.870 --> 00:02:21.170 These people live in countries 00:02:21.170 --> 00:02:24.141 too remote or too violent or too unpredictable 00:02:24.141 --> 00:02:26.831 to become integrated into global supply chains. 00:02:26.831 --> 00:02:28.180 As we move to the right, 00:02:28.180 --> 00:02:30.309 we can see the story changes quickly. 00:02:30.309 --> 00:02:34.322 There has been dramatic growth of 50, 60, even 70% 00:02:34.322 --> 00:02:35.860 in just 20 years. 00:02:35.860 --> 00:02:38.640 This is the back and the head of the elephant. 00:02:38.640 --> 00:02:40.320 Here we see the developing nations 00:02:40.320 --> 00:02:42.860 who were incorporated into these supply chains -- 00:02:42.860 --> 00:02:46.651 India, China, Mexico, Brazil and the like. 00:02:46.651 --> 00:02:48.820 For people who study the global economy, 00:02:48.820 --> 00:02:52.119 this development has been both exciting and inspiring. 00:02:52.344 --> 00:02:54.061 - [Ian] That's been the biggest development, 00:02:54.061 --> 00:02:57.660 not just in terms of globalization, but the entire planet 00:02:57.660 --> 00:02:59.432 for the last 40 years, 00:02:59.432 --> 00:03:01.220 is that a whole bunch of countries 00:03:01.220 --> 00:03:03.549 that we used to call "third world" -- 00:03:03.549 --> 00:03:06.066 they weren't even on the same planet as us! 00:03:06.066 --> 00:03:09.414 - There's a village in Mexico I visited many times. 00:03:09.414 --> 00:03:11.890 In that village, people could starve 00:03:11.890 --> 00:03:14.800 if they didn't have a good rain and a good harvest. 00:03:14.800 --> 00:03:17.739 They just grew corn, and hoped each year 00:03:17.739 --> 00:03:20.226 that they could grow enough corn to eat. 00:03:20.226 --> 00:03:21.940 People in that village, over time, 00:03:21.940 --> 00:03:24.990 they've diversified a way from growing corn. 00:03:24.990 --> 00:03:25.990 One thing they do 00:03:25.990 --> 00:03:28.969 is they make pottery and they paint pictures, 00:03:28.969 --> 00:03:31.970 and they sell these pictures and pottery abroad. 00:03:31.970 --> 00:03:35.640 They use email. They use Federal Express. 00:03:35.640 --> 00:03:36.861 And, every year, 00:03:36.861 --> 00:03:40.430 the income of that village has climbed steadily. 00:03:40.430 --> 00:03:43.630 So, today, there's a school in the village. 00:03:43.630 --> 00:03:46.648 No one in the village dies of starvation. 00:03:46.648 --> 00:03:48.769 Life is much more comfortable. 00:03:48.769 --> 00:03:50.090 There's electricity. 00:03:50.090 --> 00:03:51.691 People are much happier. 00:03:51.691 --> 00:03:53.891 - [Narrator] This sort of rise out of extreme poverty 00:03:53.891 --> 00:03:57.099 has been experienced by 1.1 billion people 00:03:57.099 --> 00:03:58.720 in the past few decades. 00:03:58.720 --> 00:04:00.458 1.1 billion! 00:04:00.458 --> 00:04:03.250 That number is so big, it's hard to wrap your head around. 00:04:03.250 --> 00:04:05.721 To get to 1.1 billion people 00:04:05.721 --> 00:04:09.735 you'd need all of the U.S., Mexico, and Canada... twice! 00:04:10.092 --> 00:04:12.611 Plus a side of France and Saudi Arabia. 00:04:12.611 --> 00:04:13.882 Seriously. 00:04:13.882 --> 00:04:15.810 Of course, getting out of extreme poverty 00:04:15.810 --> 00:04:19.160 isn't the ultimate goal, but it's a good first step. 00:04:19.160 --> 00:04:20.552 Back to the elephant. 00:04:20.552 --> 00:04:23.959 If we keep moving to the right, the story gets less rosy. 00:04:23.959 --> 00:04:26.368 Now we're moving into the working and middle classes 00:04:26.368 --> 00:04:28.890 of developed countries like the U.S., Canada, 00:04:28.890 --> 00:04:30.261 and Western Europe. 00:04:30.261 --> 00:04:31.262 As you can see, 00:04:31.262 --> 00:04:33.711 many of them have seen low or even no growth 00:04:33.711 --> 00:04:35.541 in a generation's time. 00:04:35.541 --> 00:04:38.791 It doesn't go negative, so, in that sense, on average, 00:04:38.791 --> 00:04:40.898 these people didn't lose money. 00:04:40.898 --> 00:04:43.529 But it's far below what was expected. 00:04:43.529 --> 00:04:46.041 This is the trunk of the elephant. 00:04:47.608 --> 00:04:50.599 - These middle-class workers in the developed economies, 00:04:50.599 --> 00:04:53.789 they're not only competing more with cheaper labor abroad, 00:04:53.789 --> 00:04:57.787 but they're also competing more against their own automations 00:04:57.787 --> 00:04:59.360 in their own countries, 00:04:59.360 --> 00:05:02.810 so this too has, to some extent, held down wages 00:05:02.810 --> 00:05:04.515 for some classes of workers. 00:05:04.930 --> 00:05:06.929 - [Narrator] Does this mean these workers make less 00:05:06.929 --> 00:05:09.346 than those in China, Mexico, and Brazil? 00:05:09.346 --> 00:05:10.361 No. 00:05:10.361 --> 00:05:13.021 Remember, the vertical axis doesn't compare income, 00:05:13.021 --> 00:05:15.765 but rather growth in income over 20 years. 00:05:16.864 --> 00:05:19.329 So while these middle-class workers in developed countries 00:05:19.329 --> 00:05:21.351 have seen much less income growth, 00:05:21.351 --> 00:05:23.740 because they had a much higher income to begin with, 00:05:23.740 --> 00:05:25.477 they still make far more 00:05:25.477 --> 00:05:27.863 than most workers in developing countries. 00:05:28.344 --> 00:05:30.451 What about the rest of the trunk? 00:05:30.451 --> 00:05:32.481 The higher you go up the income distribution 00:05:32.481 --> 00:05:34.171 the better it gets. 00:05:34.171 --> 00:05:38.252 The very richest have seen a 70% increase in their incomes 00:05:38.252 --> 00:05:39.681 over the span. 00:05:39.681 --> 00:05:42.140 Remember how "The Avengers" made a billion dollars 00:05:42.140 --> 00:05:43.770 in just 11 days? 00:05:43.770 --> 00:05:45.490 Those who reach global markets 00:05:45.490 --> 00:05:47.892 reap unprecedented rewards. 00:05:48.807 --> 00:05:50.470 Take a highly successful company 00:05:50.470 --> 00:05:51.710 like Apple. 00:05:52.134 --> 00:05:53.991 On the one hand, you have the designers, 00:05:53.991 --> 00:05:56.999 engineers, and marketers who have seen their fortunes rise 00:05:56.999 --> 00:05:59.249 as Apple's products sell across the globe. 00:06:00.586 --> 00:06:01.670 On the other hand, 00:06:01.670 --> 00:06:04.734 Apple products used to be manufactured in the U.S., 00:06:04.734 --> 00:06:08.690 but those jobs are gone -- either moved overseas or automated. 00:06:09.339 --> 00:06:12.840 When these middle-class workers look around, they see prosperity 00:06:12.840 --> 00:06:14.870 for everyone but them. 00:06:14.870 --> 00:06:18.045 On one side are places like China, India, and Mexico 00:06:18.045 --> 00:06:19.490 growing rapidly. 00:06:19.490 --> 00:06:22.771 On the other, they see the wealthy getting much wealthier. 00:06:23.552 --> 00:06:28.777 - And that is the working and middle class in rich countries -- 00:06:28.777 --> 00:06:33.049 here in the United States, and in Europe, Canada, 00:06:33.049 --> 00:06:35.288 Australia, even though no one ever talks about them, 00:06:35.288 --> 00:06:37.322 but they're a whole damn continent. 00:06:37.322 --> 00:06:39.852 All of those people 00:06:39.852 --> 00:06:43.093 suddenly are not getting the opportunities that they were. 00:06:43.093 --> 00:06:45.291 They believed that their lives were going to get better, 00:06:45.291 --> 00:06:47.620 and yet over the last 40 years, 00:06:47.620 --> 00:06:50.282 on balance, they've made no more money. 00:06:50.282 --> 00:06:52.058 And so as a consequence, 00:06:52.058 --> 00:06:56.091 you have a large number of people living in the wealthy countries 00:06:56.091 --> 00:06:59.470 that are really angry about globalization 00:06:59.470 --> 00:07:02.070 and free trade and open borders, 00:07:02.070 --> 00:07:08.565 and they're angry with that 1%, the 0.1%, the 0.01% 00:07:08.565 --> 00:07:11.630 that were telling them that globalization was great 00:07:11.630 --> 00:07:13.560 but that didn't actually benefit them. 00:07:13.560 --> 00:07:16.721 Yeah, they still were able to buy cheaper stuff, 00:07:16.721 --> 00:07:19.880 but if you no longer have a job 00:07:19.880 --> 00:07:24.950 and no one's making sure that you still have opportunities, 00:07:24.950 --> 00:07:27.681 then why would you want to support those people? 00:07:27.681 --> 00:07:29.679 And that's not just happening in the United States, 00:07:29.679 --> 00:07:34.370 that's actually happening all over the developed world today. 00:07:34.370 --> 00:07:37.230 - [Narrator] The natural question is to ask, "What's next?" 00:07:37.230 --> 00:07:40.971 Is the next 20 years going to be a repeat of the same elephant? 00:07:40.971 --> 00:07:42.431 Some other animal? 00:07:43.002 --> 00:07:46.239 Looking back, the story was the information revolution. 00:07:46.665 --> 00:07:47.892 Looking forward, 00:07:47.892 --> 00:07:51.124 it appears to be one of robots and artificial intelligence. 00:07:52.173 --> 00:07:54.184 - I talk to a lot of business people, 00:07:54.184 --> 00:07:56.670 and they all tell me that if they need to, 00:07:56.670 --> 00:08:00.248 they can make more money in the next ten years 00:08:00.248 --> 00:08:02.031 with fewer people, 00:08:02.031 --> 00:08:04.659 that almost every company you can think of 00:08:04.659 --> 00:08:07.970 is getting transformed by processes of automation 00:08:07.970 --> 00:08:11.468 that makes it easier for them to get things done. 00:08:11.776 --> 00:08:16.150 And that's true with banks that don't need as many tellers 00:08:16.150 --> 00:08:18.261 or as many financial analysts 00:08:18.261 --> 00:08:20.950 to determine where you should and shouldn't put your money. 00:08:20.950 --> 00:08:24.169 It can be done by algorithm and trading. 00:08:24.169 --> 00:08:27.540 Adidas has a new big sneaker company in Germany 00:08:27.540 --> 00:08:29.307 that has almost no people in it, 00:08:29.307 --> 00:08:32.161 because they can make all of these customized sneakers 00:08:32.161 --> 00:08:34.960 through a robotic process. 00:08:34.960 --> 00:08:38.900 Today, the vast majority of manufacturing jobs 00:08:38.900 --> 00:08:41.680 in the United States that go away 00:08:41.680 --> 00:08:44.908 are not being stolen by a cheaper worker in China. 00:08:44.908 --> 00:08:47.372 In fact, one estimate shows almost 90%, 00:08:47.372 --> 00:08:52.231 88% of all manufacturing jobs in the U.S. that are displaced 00:08:52.231 --> 00:08:55.250 are being displaced by robots. 00:08:55.326 --> 00:08:56.531 - [Robot] Reporting for duty. 00:08:56.591 --> 00:08:59.617 - [Narrator] The rise of automation is a source of much consternation 00:08:59.617 --> 00:09:02.056 in places like the U.S. and Europe, 00:09:02.056 --> 00:09:04.010 but it might actually impact those countries 00:09:04.010 --> 00:09:06.831 at the head of the elephant more than anyone else. 00:09:06.831 --> 00:09:09.300 - [Ian] So a country like China, 00:09:09.300 --> 00:09:12.341 or like Brazil or Mexico, 00:09:12.341 --> 00:09:15.410 benefitting enormously from jobs in the United States 00:09:15.410 --> 00:09:18.589 that went to them in the last 40 years, 00:09:18.589 --> 00:09:22.430 suddenly will be more vulnerable to the robots and the automation 00:09:22.430 --> 00:09:27.120 than the United States will be over the coming 10 to 20 years. 00:09:27.120 --> 00:09:29.481 That's a really significant change 00:09:29.481 --> 00:09:31.941 in how we think about globalization. 00:09:32.430 --> 00:09:34.558 - [Narrator] It's time to say goodbye to our elephant. 00:09:35.154 --> 00:09:37.191 Aggregating the lives of the entire planet 00:09:37.191 --> 00:09:38.555 into a single graph 00:09:38.555 --> 00:09:41.208 gives us a window into which groups won big 00:09:41.691 --> 00:09:43.292 and which did not. 00:09:43.641 --> 00:09:46.630 However, trying to represent hundreds of millions of lives 00:09:46.630 --> 00:09:47.821 with a single dot 00:09:47.821 --> 00:09:50.792 can feel disconnected from what the real impacts are. 00:09:51.531 --> 00:09:54.021 - Globalization -- it's a big concept. 00:09:54.021 --> 00:09:57.440 And it's important to realize, for any concept that big 00:09:57.440 --> 00:10:00.509 the correct way to think about it will be highly complex, 00:10:00.509 --> 00:10:02.651 and there will be many negatives. 00:10:02.651 --> 00:10:04.790 But, overall, the ledger, I think, 00:10:04.790 --> 00:10:08.191 is strongly positive on behalf of globalization. 00:10:08.191 --> 00:10:09.939 It's spread health improvements. 00:10:09.939 --> 00:10:12.720 It's given people longer lives, 00:10:12.720 --> 00:10:15.270 greater opportunities for children, 00:10:15.270 --> 00:10:17.299 overall higher wages. 00:10:17.299 --> 00:10:19.709 Many more countries are democracies, 00:10:19.709 --> 00:10:23.600 and the world today, largely because of globalization, 00:10:23.600 --> 00:10:27.879 is simply a much better, richer, and freer place 00:10:27.879 --> 00:10:30.255 than the world I initially grew up with. 00:10:30.606 --> 00:10:32.742 - [Narrator] In the next videos, we'll go beyond money 00:10:32.742 --> 00:10:35.992 to talk about inequality, the environment, and more. 00:10:42.160 --> 00:10:43.769 If you're a teacher, you should check out 00:10:43.769 --> 00:10:46.980 our globalization curriculum that incorporates this video. 00:10:47.476 --> 00:10:49.641 If you're a learner, make sure this video sticks 00:10:49.641 --> 00:10:51.691 by taking a few quick practice questions. 00:10:52.042 --> 00:10:54.071 Or, you can click to go to the next episode 00:10:54.071 --> 00:10:55.116 in the series 00:10:55.116 --> 00:10:57.329 or check out the entire series playlist. 00:10:58.001 --> 00:11:00.519 ♪ [music] ♪