WEBVTT 1 00:00:01.060 --> 00:00:03.833 I grew up in the midwestern part of the United States 2 00:00:03.833 --> 00:00:07.170 around a lot of the blue-collar workers and laborers. 3 00:00:07.170 --> 00:00:10.500 At the time, Chinese labor was less than a dollar per hour, 4 00:00:10.500 --> 00:00:12.550 and that was far, far more competitive 5 00:00:12.550 --> 00:00:14.650 than basically anywhere else on the globe, 6 00:00:14.650 --> 00:00:16.669 and the pool of labor was immense. 7 00:00:16.669 --> 00:00:19.453 And it was devastating for communities. 8 00:00:21.360 --> 00:00:24.151 But that's not the way it will look in ten years. 9 00:00:31.220 --> 00:00:33.030 line:15% In that rush to China, 10 00:00:33.030 --> 00:00:36.073 line:15% what we saw was basically Economics 101. 11 00:00:36.073 --> 00:00:39.930 The jobs went, more demand went, 12 00:00:39.930 --> 00:00:41.750 and that drove up prices. 13 00:00:41.750 --> 00:00:44.040 There are regions that are just as competitive 14 00:00:44.040 --> 00:00:46.950 as China today for certain types of manufacturing. 15 00:00:46.950 --> 00:00:48.330 The end of the story isn't 16 00:00:48.330 --> 00:00:51.040 that one country dominates all global manufacturing. 17 00:00:51.040 --> 00:00:53.850 The end of the story is actually that we come back 18 00:00:53.850 --> 00:00:56.270 to a world where manufacturing's more distributed 19 00:00:56.270 --> 00:00:57.920 and manufacturing and supply chains 20 00:00:57.920 --> 00:00:59.170 become more regionalized. 21 00:01:00.350 --> 00:01:03.580 In this world where the economics are evening out, 22 00:01:03.580 --> 00:01:06.640 the promise of the bionic company is immense. 23 00:01:06.640 --> 00:01:09.390 The work changes from getting a task done 24 00:01:09.390 --> 00:01:11.700 to designing the work that needs to be done, 25 00:01:11.700 --> 00:01:14.500 often by a robot or an algorithm, 26 00:01:14.500 --> 00:01:16.600 and that creates a totally different structure. 27 00:01:16.600 --> 00:01:18.880 Instead of a hierarchical organization 28 00:01:18.880 --> 00:01:20.500 that works from the top down 29 00:01:20.500 --> 00:01:22.432 and the bottom person executes, 30 00:01:22.432 --> 00:01:25.510 you actually need small teams that are agile 31 00:01:25.510 --> 00:01:27.050 to come together to define 32 00:01:27.050 --> 00:01:29.780 and design how that work should get done in the future 33 00:01:29.780 --> 00:01:31.130 and then build the systems 34 00:01:31.130 --> 00:01:33.400 to actually execute against it. 35 00:01:33.400 --> 00:01:36.380 I interviewed recently a manufacturer 36 00:01:36.380 --> 00:01:38.260 of stainless-steel trash cans, 37 00:01:38.260 --> 00:01:40.400 and they had moved production from China 38 00:01:40.400 --> 00:01:41.830 to Jacksonville, Florida. 39 00:01:41.830 --> 00:01:45.020 They had actually created an entire production line 40 00:01:45.020 --> 00:01:46.450 that only had nine people, 41 00:01:46.450 --> 00:01:49.090 because much more of what they were making 42 00:01:49.090 --> 00:01:52.040 was roboticized and had been automated, 43 00:01:52.040 --> 00:01:53.740 versus even what they did in China, 44 00:01:53.740 --> 00:01:56.060 where the factory line had 60 or 70 people. 45 00:01:56.060 --> 00:01:57.610 But I actually think that's good. 46 00:01:57.610 --> 00:01:59.400 That's unleashing more innovation. 47 00:01:59.400 --> 00:02:01.820 That's freeing up more capacity and labor 48 00:02:01.820 --> 00:02:04.650 to invest in new things and learn new tools. 49 00:02:04.650 --> 00:02:06.470 And as we deploy that technology, 50 00:02:06.470 --> 00:02:07.700 we're going to have to be 51 00:02:07.700 --> 00:02:09.330 constantly upskilling the workforce. 52 00:02:09.330 --> 00:02:11.730 Not once in their life do they receive an education, 53 00:02:11.730 --> 00:02:13.590 but we're going to have to find a way to do that 54 00:02:13.590 --> 00:02:15.054 over and over and over again. 55 00:02:15.054 --> 00:02:18.470 The leaders will be much more proactive in doing that. 56 00:02:18.470 --> 00:02:21.105 They will find competitive advantage in their workforce 57 00:02:21.105 --> 00:02:25.540 that will drive them to invest in that workforce 58 00:02:25.540 --> 00:02:27.090 in a much more holistic way. 59 00:02:27.090 --> 00:02:29.770 They won't be as reliant on community colleges 60 00:02:29.770 --> 00:02:32.690 and technical schools and universities to train people. 61 00:02:32.690 --> 00:02:34.617 They'll say, "We need to take the future in our hands 62 00:02:34.617 --> 00:02:37.597 and actually equip our people to be resilient 63 00:02:37.597 --> 00:02:39.847 no matter what the technology is we deploy."