1 00:00:01,080 --> 00:00:05,640 Speaker 1: I want to thank every Amazon employee and every Amazon 2 00:00:05,760 --> 00:00:10,719 Speaker 1: customer because you guys paid progress. You guys paid problems. 3 00:00:12,360 --> 00:00:16,360 Speaker 1: This is Megacorp, an investigative podcast exposing some of the 4 00:00:16,360 --> 00:00:22,840 Speaker 1: world's most unethical corporations. This series is about Amazon. I'm 5 00:00:22,960 --> 00:00:30,120 Speaker 1: Jake Hanrahan, journalists and documentary filmmaker. Megacorp is produced by 6 00:00:30,400 --> 00:00:39,320 Speaker 1: H eleven for Cool Zone Media. So in this series 7 00:00:39,479 --> 00:00:43,280 Speaker 1: we've gone from the Amazon warehouse, to the Amazon picket line, 8 00:00:43,560 --> 00:00:47,680 Speaker 1: to the Amazon accounts office, to the Amazon Spine operations, 9 00:00:48,200 --> 00:00:52,120 Speaker 1: and then to the Amazon sort of space mission. Now, 10 00:00:52,159 --> 00:00:55,600 Speaker 1: in between all of that there are several various scandals 11 00:00:55,600 --> 00:00:58,840 Speaker 1: that haven't quite fit into their own episode. So today 12 00:00:58,960 --> 00:01:03,520 Speaker 1: this is a sort of amalgamation of various Amazon madness, 13 00:01:04,040 --> 00:01:09,959 Speaker 1: a patchwork quilt of disgrace if you like. So, first 14 00:01:10,120 --> 00:01:14,440 Speaker 1: let's take a look at Amazon in Germany, where in 15 00:01:16,200 --> 00:01:19,560 Speaker 1: they were accused of hiring security guards with neo Nazi 16 00:01:19,640 --> 00:01:24,680 Speaker 1: connections in a bid to intimidate foreign workers. Amazon punk 17 00:01:24,760 --> 00:01:31,840 Speaker 1: endersty effect Senans Can Diets in Dudgeland, Germany's a r 18 00:01:31,959 --> 00:01:35,600 Speaker 1: D t V channel made a documentary allegend the Amazon 19 00:01:35,680 --> 00:01:41,280 Speaker 1: hired security personnel from Germany's Hess Security. It claimed that 20 00:01:41,319 --> 00:01:44,440 Speaker 1: the guards were tasked with keeping order at the hostels 21 00:01:44,520 --> 00:01:50,080 Speaker 1: and budget hotels where foreign Amazon workers stayed. The documentary 22 00:01:50,080 --> 00:01:54,080 Speaker 1: showed guards in all black with military boots, searching the 23 00:01:54,120 --> 00:01:58,240 Speaker 1: bedrooms and the kitchens of the foreign staff. One of 24 00:01:58,240 --> 00:02:01,920 Speaker 1: the foreign workers said that the security men lie to them, 25 00:02:01,920 --> 00:02:05,520 Speaker 1: telling them that they were actually the police. Another said 26 00:02:05,560 --> 00:02:08,400 Speaker 1: she was thrown out of her hostel by the security 27 00:02:08,440 --> 00:02:11,640 Speaker 1: for drying her wet clothes on a wall eater. The 28 00:02:11,720 --> 00:02:16,640 Speaker 1: security men were apparently aggressive and intimidating. So what is 29 00:02:16,800 --> 00:02:21,200 Speaker 1: HESS Security well? A r D said that Hess Security 30 00:02:21,440 --> 00:02:24,160 Speaker 1: was run by a man named U E. L and 31 00:02:24,200 --> 00:02:27,800 Speaker 1: apparently he has ties to football hooligan firms in Germany 32 00:02:28,200 --> 00:02:31,880 Speaker 1: and convicted neo Nazis who are quote known to police. 33 00:02:32,800 --> 00:02:35,840 Speaker 1: A I D says the name of HESS Security is 34 00:02:35,960 --> 00:02:38,680 Speaker 1: even a slight noder to a leading member of the 35 00:02:38,720 --> 00:02:43,440 Speaker 1: World War two Iran Nazi Party, Rudolph Hess. They say 36 00:02:43,520 --> 00:02:49,440 Speaker 1: it stands for Hencell European Security Services. From an independent 37 00:02:49,600 --> 00:02:53,320 Speaker 1: article about the HES security situation. In regards to the 38 00:02:53,360 --> 00:02:58,280 Speaker 1: treatment of Amazon workers, A r D said the following quote. 39 00:02:58,680 --> 00:03:02,560 Speaker 1: Amazon's temporary staff worked eight hour shifts packing goods at 40 00:03:02,560 --> 00:03:07,640 Speaker 1: the company's logistics centers in bad Hrstfeld, Constants and Augsburg. 41 00:03:07,919 --> 00:03:11,240 Speaker 1: Many walked up to seventeen kilometers per shift, and all 42 00:03:11,360 --> 00:03:15,160 Speaker 1: those taken on could be fired at will. On arrival 43 00:03:15,200 --> 00:03:17,880 Speaker 1: in Germany, most were told their pay had been cut 44 00:03:17,960 --> 00:03:20,640 Speaker 1: to below the rate promised when they applied for the 45 00:03:20,720 --> 00:03:26,440 Speaker 1: jobs at Amazon. End quote. Amazon denied that they directly 46 00:03:26,560 --> 00:03:31,000 Speaker 1: hired hair security, saying quote, although the security firm was 47 00:03:31,080 --> 00:03:35,240 Speaker 1: not contracted by Amazon, we are of course currently examining 48 00:03:35,240 --> 00:03:38,800 Speaker 1: the allegations concerning the behavior of security guards and will 49 00:03:38,840 --> 00:03:43,040 Speaker 1: take the appropriate measures immediately. We do not tolerate discrimination 50 00:03:43,160 --> 00:03:47,480 Speaker 1: or intimidation. End quote. Just as a side note here, 51 00:03:47,520 --> 00:03:51,400 Speaker 1: I would argue that they do kind of tolerate intimidation 52 00:03:51,720 --> 00:03:54,480 Speaker 1: because they literally trained people on how to act like 53 00:03:54,680 --> 00:03:59,480 Speaker 1: spies in a bid to union bust. But anyway, according 54 00:03:59,520 --> 00:04:03,560 Speaker 1: to d W News, the security firm was contracted by 55 00:04:03,680 --> 00:04:08,920 Speaker 1: an employment agency, not Amazon directly. However, the accommodation where 56 00:04:08,960 --> 00:04:13,400 Speaker 1: they were was full of temporary Amazon workers from outside 57 00:04:13,400 --> 00:04:17,239 Speaker 1: of Germany, brought in to deal with the Christmas rush. 58 00:04:17,400 --> 00:04:20,880 Speaker 1: Most of them were brought in from Spain. One of 59 00:04:20,920 --> 00:04:24,960 Speaker 1: these workers, a woman named Sylvia, said quote, it's like 60 00:04:25,120 --> 00:04:27,760 Speaker 1: being in a machine, and we are just a small 61 00:04:27,839 --> 00:04:32,280 Speaker 1: part of this machine. End quote. A spokesman for the 62 00:04:32,320 --> 00:04:37,000 Speaker 1: German United Services Union said, quote, they don't see any 63 00:04:37,000 --> 00:04:40,160 Speaker 1: way of complaining. They're all too frightened of being sent 64 00:04:40,279 --> 00:04:44,520 Speaker 1: home without a job end quote. Now, you could argue 65 00:04:44,560 --> 00:04:48,440 Speaker 1: that Amazon has some responsibility for the security seen as 66 00:04:48,480 --> 00:04:51,760 Speaker 1: they asked the employment agency to provide them with workers 67 00:04:52,320 --> 00:04:55,039 Speaker 1: and their workers were staying at the place where this 68 00:04:55,160 --> 00:04:59,479 Speaker 1: security was. Also, you could say, to be fair to Amazon, 69 00:05:00,000 --> 00:05:05,680 Speaker 1: they said they would investigate and they didn't personally contact 70 00:05:05,760 --> 00:05:09,360 Speaker 1: has security. But this is just another example of what 71 00:05:09,480 --> 00:05:13,280 Speaker 1: can happen when human beings are treated. There's nothing more 72 00:05:13,320 --> 00:05:18,000 Speaker 1: than flesh robots for the warehouse floor. Proper checks were 73 00:05:18,040 --> 00:05:21,559 Speaker 1: clearly not carried out, likely simply due to the fact 74 00:05:21,600 --> 00:05:24,880 Speaker 1: that profit was all that mattered, and as we've learned 75 00:05:24,880 --> 00:05:30,320 Speaker 1: in this series, Amazon often doesn't look out for its workers. 76 00:05:30,360 --> 00:05:33,880 Speaker 1: This is reflected on the ground in Germany more recently also, 77 00:05:34,480 --> 00:05:38,800 Speaker 1: as workers there went on strike in November one to 78 00:05:38,960 --> 00:05:44,080 Speaker 1: protest wages and work conditions. Unions They're said Amazon has 79 00:05:44,120 --> 00:05:46,760 Speaker 1: failed to meet industry standards when it comes to the 80 00:05:46,760 --> 00:05:50,800 Speaker 1: wage rights. A union rep there said, quote is unacceptable 81 00:05:50,839 --> 00:05:55,120 Speaker 1: that a multinational corporation worth billions earns itself silly and 82 00:05:55,200 --> 00:05:58,560 Speaker 1: yet refuses to give its employees the wage increases the 83 00:05:58,640 --> 00:06:02,960 Speaker 1: other companies in the industry repay their colleagues. End quote. Yeah, 84 00:06:03,000 --> 00:06:05,040 Speaker 1: I agree with that guy. That's kind of what this 85 00:06:05,120 --> 00:06:09,719 Speaker 1: whole series is trying to get at. Amazon employees almost 86 00:06:09,960 --> 00:06:13,240 Speaker 1: thirty thou people in Germany and plans to build more 87 00:06:13,320 --> 00:06:17,200 Speaker 1: warehouses there in the future. In November, there was a 88 00:06:17,360 --> 00:06:20,760 Speaker 1: staff walk out in Leipzig and at two sides in 89 00:06:21,080 --> 00:06:25,159 Speaker 1: Bad Hersfeld, which is also where the foreign workers harassed 90 00:06:25,200 --> 00:06:29,200 Speaker 1: by her security were working. This was yet another account 91 00:06:29,320 --> 00:06:33,800 Speaker 1: of workers being mistreated directly by Amazon or via proxy 92 00:06:33,880 --> 00:06:36,280 Speaker 1: of the people that employed them to work for them, 93 00:06:36,320 --> 00:06:44,560 Speaker 1: as we've seen many such cases. Now we're going to 94 00:06:44,680 --> 00:06:49,479 Speaker 1: go from foreign Amazon workers harassed in Germany the mysterious 95 00:06:49,600 --> 00:06:53,960 Speaker 1: Amazon workers on Twitter. This is actually kind of mad 96 00:06:54,000 --> 00:06:59,480 Speaker 1: and it really shows how potentially devious Amazon is. So Basically, 97 00:06:59,760 --> 00:07:04,320 Speaker 1: in March one, as many Amazon workers in the US 98 00:07:04,400 --> 00:07:08,200 Speaker 1: state of Alabama voted to form a union, some Amazon 99 00:07:08,320 --> 00:07:12,680 Speaker 1: workers took to Twitter to say how much they loved Amazon. 100 00:07:13,280 --> 00:07:17,200 Speaker 1: They were a group of so called Amazon FC ambassadors 101 00:07:17,560 --> 00:07:22,720 Speaker 1: Fulfillment Center ambassadors. They were generally starting off by tweeting 102 00:07:22,760 --> 00:07:26,040 Speaker 1: what was a template sort of message with an image 103 00:07:26,080 --> 00:07:31,679 Speaker 1: of themselves, saying things like this, quote my name is Leo, 104 00:07:31,880 --> 00:07:36,960 Speaker 1: I'm an Amazon ambassador and rebin at Jack's two. Any 105 00:07:37,080 --> 00:07:42,080 Speaker 1: questions about the FC, just ask. I'm also into riding motorcycles, 106 00:07:42,360 --> 00:07:47,360 Speaker 1: the beach and slash or pool. I'm retired public service Newark, 107 00:07:47,560 --> 00:07:51,360 Speaker 1: n J c R seven support Portugal National Soccer Club 108 00:07:51,440 --> 00:07:55,880 Speaker 1: and Sporting Football Club end quote. Or there's Michelle, the 109 00:07:55,920 --> 00:08:01,520 Speaker 1: Amazon FC ambassador. She tweeted, quote, I I am Michelle. 110 00:08:01,960 --> 00:08:05,000 Speaker 1: I am a Pick ambassador and trainer at b F 111 00:08:05,200 --> 00:08:08,760 Speaker 1: I four in Kent, Washington. If you have any questions 112 00:08:08,800 --> 00:08:11,320 Speaker 1: about what it is like to work at an FC, 113 00:08:11,760 --> 00:08:14,680 Speaker 1: feel free to ask me. I am passionate about my 114 00:08:14,760 --> 00:08:18,800 Speaker 1: family and love to cook, bake, and garden. It gives 115 00:08:18,840 --> 00:08:23,680 Speaker 1: me peace. End quote. Then it led to things like this. 116 00:08:24,360 --> 00:08:28,560 Speaker 1: One user named FC Dalla began to speak out against 117 00:08:28,640 --> 00:08:33,080 Speaker 1: the Amazon unions. She said, quote what bothers me most 118 00:08:33,160 --> 00:08:36,880 Speaker 1: about unions is there's no ability to opt out of jews. 119 00:08:37,400 --> 00:08:41,000 Speaker 1: Amazon takes great care of me. End quote. That was 120 00:08:41,080 --> 00:08:43,440 Speaker 1: quite weird to say. Is seen as Dalla claimed to 121 00:08:43,520 --> 00:08:48,000 Speaker 1: be based in Alabama, where reported by the BBC, it's 122 00:08:48,040 --> 00:08:51,280 Speaker 1: actually illegal to have a union without a jew's opt 123 00:08:51,320 --> 00:08:55,720 Speaker 1: out option. Another user named Burt, who said he worked 124 00:08:55,800 --> 00:09:01,199 Speaker 1: at the Okay for Amazon warehouse, tweeted, quote unions are 125 00:09:01,200 --> 00:09:03,480 Speaker 1: good for some companies, but I don't want to have 126 00:09:03,520 --> 00:09:07,839 Speaker 1: to shell out hundreds a month just for lawyers. End quote. Now, 127 00:09:07,840 --> 00:09:10,640 Speaker 1: it just so happened that Burt's display picture on Twitter 128 00:09:11,120 --> 00:09:14,400 Speaker 1: was actually a guy from a YouTube comedy group called 129 00:09:14,600 --> 00:09:20,040 Speaker 1: Dude Perfect. They have almost sixty million subscribers. A short 130 00:09:20,040 --> 00:09:23,400 Speaker 1: while after these anti union tweets were sent out, it 131 00:09:23,480 --> 00:09:27,600 Speaker 1: was noticed online that some of the Amazon FC ambassadors 132 00:09:27,920 --> 00:09:31,520 Speaker 1: suddenly changed their names. So the quote we just read 133 00:09:31,559 --> 00:09:35,160 Speaker 1: about Michelle was actually now from an account called Sarah 134 00:09:35,480 --> 00:09:39,560 Speaker 1: at Amazon FC. Sarah, as first reported by a journalist 135 00:09:39,679 --> 00:09:44,400 Speaker 1: Karen Weiss, Rick, became James, Leo became Sierra, and Michelle 136 00:09:44,400 --> 00:09:48,320 Speaker 1: became Sarah. So what's going on? Well, as you've probably 137 00:09:48,440 --> 00:09:52,199 Speaker 1: clocked by and now, these were not real people. These 138 00:09:52,200 --> 00:09:55,600 Speaker 1: were fake accounts set up to smear unions, made to 139 00:09:55,679 --> 00:09:58,640 Speaker 1: look as if they were the opinions of genuine workers 140 00:09:58,760 --> 00:10:02,920 Speaker 1: at Amazon. The BBC wrote about this and they contacted 141 00:10:02,960 --> 00:10:05,880 Speaker 1: Amazon to ask about these fake accounts, of which there 142 00:10:05,880 --> 00:10:10,040 Speaker 1: were many, but Amazon didn't respond. Now, I don't think 143 00:10:10,080 --> 00:10:13,040 Speaker 1: it takes a genius to realize who the most probable 144 00:10:13,080 --> 00:10:18,800 Speaker 1: company behind them is fake accounts. Aside, Amazon actually pays 145 00:10:19,040 --> 00:10:23,079 Speaker 1: real workers to do this online. These workers are paid 146 00:10:23,240 --> 00:10:27,800 Speaker 1: to promote and defend Amazon on Twitter, these name changing 147 00:10:27,840 --> 00:10:32,440 Speaker 1: accounts I just mentioned, though they weren't even real in 148 00:10:32,480 --> 00:10:35,240 Speaker 1: the end that Twitter had to suspend many of these 149 00:10:35,280 --> 00:10:40,880 Speaker 1: fake accounts as they broke the spam and platform manipulation rules. Now, 150 00:10:40,920 --> 00:10:43,960 Speaker 1: if it was Amazon who was behind these fake accounts, 151 00:10:43,960 --> 00:10:48,320 Speaker 1: which personally I believe it almost definitely was, everything points 152 00:10:48,320 --> 00:10:51,360 Speaker 1: towards them. They even actually pay workers to do this 153 00:10:51,480 --> 00:10:54,559 Speaker 1: without them being fake accounts. If it was them, I 154 00:10:54,600 --> 00:10:59,360 Speaker 1: think this really shows how unbelievably dishonest and devious Amazon 155 00:10:59,440 --> 00:11:02,559 Speaker 1: can be when it comes to busting unions. They do 156 00:11:02,640 --> 00:11:05,360 Speaker 1: not want their workers organized, and they don't want them 157 00:11:05,400 --> 00:11:08,920 Speaker 1: to make a better working environment for themselves. That much 158 00:11:09,200 --> 00:11:13,400 Speaker 1: is clear to me. At least. A way to play 159 00:11:13,440 --> 00:11:17,640 Speaker 1: the long game to stop workers organizing unions could be 160 00:11:17,880 --> 00:11:23,960 Speaker 1: to basically coach people from young that unions are no good. Now, 161 00:11:23,960 --> 00:11:27,360 Speaker 1: how could Amazon. Do that you ask, We'll have to 162 00:11:27,480 --> 00:11:32,520 Speaker 1: listen to this. In Could John High School in the 163 00:11:32,640 --> 00:11:38,679 Speaker 1: US state of California began offering a Amazon Logistics and 164 00:11:39,000 --> 00:11:45,120 Speaker 1: Business Management pathway courts. This was reported first by Vice's 165 00:11:45,280 --> 00:11:52,160 Speaker 1: motherboard writers Aaron Gordon and Lauren Kori Girley. They described 166 00:11:52,240 --> 00:11:55,280 Speaker 1: the course as quotes, a first of its kind series 167 00:11:55,320 --> 00:11:58,640 Speaker 1: of courses intended to help students get a head start 168 00:11:58,960 --> 00:12:03,640 Speaker 1: in a career. In the gistics end quote, Amazon donated 169 00:12:03,840 --> 00:12:07,959 Speaker 1: fifty dollars to kick start the course. You could argue 170 00:12:08,000 --> 00:12:10,840 Speaker 1: that that's not a donation and simply a payment or 171 00:12:10,880 --> 00:12:13,760 Speaker 1: a bribe provided to the school to get them teaching 172 00:12:13,920 --> 00:12:18,160 Speaker 1: and Amazon business syllabus, but I'm not saying that now. 173 00:12:18,160 --> 00:12:20,200 Speaker 1: If you didn't think this was starting to sound a 174 00:12:20,240 --> 00:12:24,480 Speaker 1: bit weird before, get this. The classroom where this Amazon 175 00:12:24,520 --> 00:12:29,880 Speaker 1: Business courses being taught was redecorated, painted in Amazon's signature 176 00:12:29,960 --> 00:12:35,880 Speaker 1: yellow branding and with Amazon's Leader principles written on the walls. 177 00:12:36,559 --> 00:12:43,040 Speaker 1: Those are customer obsession bias for action deliver results. So 178 00:12:43,080 --> 00:12:46,959 Speaker 1: you go into class in an Amazon colored room with 179 00:12:47,040 --> 00:12:52,520 Speaker 1: their odd catchphrases written all over the walls. Customer obsession 180 00:12:52,800 --> 00:12:58,000 Speaker 1: bias for action deliver results. Sounds like a really weird 181 00:12:58,440 --> 00:13:06,160 Speaker 1: business cult. To get a better idea of what's going 182 00:13:06,200 --> 00:13:11,080 Speaker 1: on with the Amazon Logistics and business management pathway, course, 183 00:13:11,559 --> 00:13:15,120 Speaker 1: I spoke to Lauren Cotory Gurley about the article that 184 00:13:15,240 --> 00:13:19,280 Speaker 1: she co wrote about this. You had this scoop recently. 185 00:13:20,440 --> 00:13:25,040 Speaker 1: I can only describe it as like an Amazon indoctrination 186 00:13:25,280 --> 00:13:28,840 Speaker 1: kind of course in a school. Maybe you can explain 187 00:13:28,880 --> 00:13:31,600 Speaker 1: to us all about this article, you know you recently wrote, 188 00:13:31,600 --> 00:13:33,120 Speaker 1: and the kind of ins and outs of it what 189 00:13:33,160 --> 00:13:38,760 Speaker 1: it actually is. Sure so. UM About a year ago, 190 00:13:39,440 --> 00:13:45,000 Speaker 1: I came across, UM, of course, a program that Amazon 191 00:13:45,080 --> 00:13:48,480 Speaker 1: was launching at a high school in southern California in 192 00:13:48,520 --> 00:13:50,760 Speaker 1: the Inland Empire, which we can talk about later, but 193 00:13:51,200 --> 00:13:54,880 Speaker 1: it's near Los Angeles. Uh, there's a big Amazon presence, 194 00:13:55,559 --> 00:13:59,439 Speaker 1: UM and in the program was specifically to prepare students 195 00:13:59,520 --> 00:14:03,720 Speaker 1: to UM for work in the logistics industry, so for 196 00:14:03,760 --> 00:14:06,880 Speaker 1: warehouse work. UM. You know, we know knew Amazon sort 197 00:14:06,880 --> 00:14:10,520 Speaker 1: of had STEM sponsorship programs and high schools and middle 198 00:14:10,559 --> 00:14:12,520 Speaker 1: schools around the country, but this is the first time 199 00:14:13,120 --> 00:14:16,520 Speaker 1: UM there had been sort of a program specifically about 200 00:14:16,840 --> 00:14:22,120 Speaker 1: preparing a very young workforce for warehouse work. UM. And 201 00:14:22,160 --> 00:14:24,280 Speaker 1: this is in an area where there is a ton 202 00:14:24,360 --> 00:14:27,680 Speaker 1: of warehouse jobs. UM. And so we ended up floying 203 00:14:28,640 --> 00:14:31,160 Speaker 1: UM the school district and this is where this high 204 00:14:31,160 --> 00:14:35,000 Speaker 1: school is located. It's called cohone High School UM to 205 00:14:35,040 --> 00:14:37,160 Speaker 1: see sort of what we could get about the class 206 00:14:37,880 --> 00:14:43,360 Speaker 1: UM and we got a couple of uh, what would 207 00:14:43,360 --> 00:14:47,240 Speaker 1: we call like syllabi um for two courses that are 208 00:14:47,240 --> 00:14:51,360 Speaker 1: currently going on at this high school. The program is 209 00:14:51,400 --> 00:14:56,360 Speaker 1: called Amazon Logistics and Business Management Pathway. And the two 210 00:14:56,440 --> 00:14:59,400 Speaker 1: courses that we got ahold of the syllabi for were 211 00:15:00,120 --> 00:15:04,680 Speaker 1: Business Management and Entrepreneurship and Global Logistics and Concepts. And 212 00:15:04,720 --> 00:15:06,360 Speaker 1: I guess I would just start off by saying that 213 00:15:06,400 --> 00:15:09,320 Speaker 1: Amazon did not design these courses. We talked to the 214 00:15:09,320 --> 00:15:12,440 Speaker 1: school district, and the school district told us that they 215 00:15:12,480 --> 00:15:14,960 Speaker 1: did not play a role in designing it. But they 216 00:15:14,960 --> 00:15:19,880 Speaker 1: are sort of a partner in this, uh in this program, 217 00:15:19,880 --> 00:15:22,960 Speaker 1: and they are sort of oversee it. So they provided 218 00:15:22,960 --> 00:15:24,920 Speaker 1: a load of money though right, like fifty grand I 219 00:15:24,920 --> 00:15:28,960 Speaker 1: think it would, yeah, fifty grand. They donated fifty grand UM. 220 00:15:29,040 --> 00:15:30,920 Speaker 1: And this this is all going on in a in 221 00:15:30,960 --> 00:15:36,960 Speaker 1: a classroom that is um painted with Amazon's leadership principle. 222 00:15:37,160 --> 00:15:39,720 Speaker 1: So we have some photos in the article if you 223 00:15:39,920 --> 00:15:44,120 Speaker 1: look at it, but UH it says customer session bias 224 00:15:44,200 --> 00:15:47,640 Speaker 1: for action deliver results like on the classroom walls. UM. 225 00:15:47,720 --> 00:15:53,320 Speaker 1: Amazon UH is very UM customer centric, as your listeners 226 00:15:53,360 --> 00:15:56,280 Speaker 1: probably already know. But sort of the models like do 227 00:15:56,360 --> 00:15:59,640 Speaker 1: anything for the customer, UM. And so yeah, the students 228 00:15:59,680 --> 00:16:03,320 Speaker 1: I learn in a classroom with UH these UM these 229 00:16:03,360 --> 00:16:05,680 Speaker 1: things written on the walls, right, So so tell us 230 00:16:05,680 --> 00:16:08,880 Speaker 1: about the syllabus of the courses. So the first course, 231 00:16:08,960 --> 00:16:14,400 Speaker 1: the Management and Entrepreneurship course UM has is just like 232 00:16:14,960 --> 00:16:17,240 Speaker 1: sort of pretty standard I think for what you would 233 00:16:17,240 --> 00:16:19,480 Speaker 1: get in like a class like this in high school. 234 00:16:19,520 --> 00:16:23,520 Speaker 1: But UM, there's a there's a section on motivating employees, 235 00:16:23,760 --> 00:16:26,480 Speaker 1: a very large section motivating employees where they talk about 236 00:16:26,880 --> 00:16:31,880 Speaker 1: UM Frederick Taylor and scientific management, which is sort of 237 00:16:31,920 --> 00:16:35,880 Speaker 1: like Frederick Taylor was an industrialist UM and during the 238 00:16:35,920 --> 00:16:40,160 Speaker 1: Industrial Revolution who sort of developed ways of streamlining work 239 00:16:40,240 --> 00:16:43,960 Speaker 1: processes in order to maximize the productivity of workers with 240 00:16:44,080 --> 00:16:47,560 Speaker 1: a stopwatch. This is very similar to sort of Amazon's 241 00:16:47,600 --> 00:16:50,160 Speaker 1: practices today where they're just constantly trying to find new 242 00:16:50,160 --> 00:16:54,320 Speaker 1: ways to squeeze productivity and and and and you know, 243 00:16:54,680 --> 00:16:57,240 Speaker 1: profit in other words, out of out of their workers. 244 00:16:57,840 --> 00:17:01,920 Speaker 1: UM students are also learning about Maslow those hierarchy of needs, 245 00:17:02,400 --> 00:17:05,760 Speaker 1: which is interesting because Muzzle's hierarchy needs like sort of 246 00:17:05,760 --> 00:17:10,160 Speaker 1: teaches you that people will UM sort of sacrifice like 247 00:17:10,800 --> 00:17:13,480 Speaker 1: I don't know, their own personal fulfillment or mental health 248 00:17:13,960 --> 00:17:17,800 Speaker 1: for basic physical needs if they need to. UM. There's 249 00:17:17,800 --> 00:17:21,240 Speaker 1: a section on mergers and acquisitions where they ask students 250 00:17:21,320 --> 00:17:25,560 Speaker 1: why our mergers and acquisitions important to a company's overall growth? 251 00:17:26,200 --> 00:17:32,120 Speaker 1: UM sort of a section on Uber actually where UM 252 00:17:32,280 --> 00:17:34,680 Speaker 1: they talk about like sort of things that Uber has 253 00:17:34,720 --> 00:17:36,800 Speaker 1: done wrong and they say what can Uber do to 254 00:17:36,920 --> 00:17:39,920 Speaker 1: ensure its competitors are not chipping away at its dominant 255 00:17:39,920 --> 00:17:44,119 Speaker 1: market share as a result of such bad press. So 256 00:17:44,119 --> 00:17:48,840 Speaker 1: it's very much like UM a course that was designed 257 00:17:49,080 --> 00:17:54,200 Speaker 1: for from the perspective of someone wants to go into business. UM. 258 00:17:54,480 --> 00:17:59,919 Speaker 1: There's another course that UM that we had the curriculum 259 00:18:00,040 --> 00:18:04,399 Speaker 1: for which goes on to have called about global supply chains, 260 00:18:04,680 --> 00:18:08,080 Speaker 1: and there's a large section on Amazon. UM. It goes 261 00:18:08,080 --> 00:18:12,600 Speaker 1: through Amazon's history, it's vision um sort of its impact 262 00:18:12,680 --> 00:18:16,880 Speaker 1: on e commerce globally, and it's just found the language 263 00:18:16,880 --> 00:18:18,560 Speaker 1: that they're using you can tell that this is very 264 00:18:18,640 --> 00:18:22,720 Speaker 1: pro Amazon. Um, it's described as exciting and why people 265 00:18:22,760 --> 00:18:25,800 Speaker 1: should be excited to join these industry. Oh and then 266 00:18:25,920 --> 00:18:28,919 Speaker 1: as both as part of this entire program, the stab 267 00:18:28,960 --> 00:18:31,840 Speaker 1: I say that like students have to take a participate 268 00:18:31,920 --> 00:18:34,880 Speaker 1: in an internship and the place they suggest the internship 269 00:18:34,920 --> 00:18:43,760 Speaker 1: being is at an Amazon warehouse. Um so um, yeah, 270 00:18:43,840 --> 00:18:47,360 Speaker 1: so it's it's it's not like Amazon played a central 271 00:18:47,680 --> 00:18:50,840 Speaker 1: role in designing the course, but clearly they are very much, 272 00:18:51,359 --> 00:18:53,960 Speaker 1: you know, involved in this because they're trying to prepare 273 00:18:55,359 --> 00:18:58,800 Speaker 1: the future generations of their warehouse workers sort of give 274 00:18:58,880 --> 00:19:02,359 Speaker 1: them a tay east of or like have their first 275 00:19:02,400 --> 00:19:06,800 Speaker 1: experiences with Amazon b ones like these. Um, and just 276 00:19:06,840 --> 00:19:09,320 Speaker 1: want to note that, yeah, your listeners probably know, but 277 00:19:09,440 --> 00:19:12,760 Speaker 1: Amazon has a long record of of union besting and 278 00:19:12,800 --> 00:19:16,479 Speaker 1: being anti union and so it's it's ironic too, and 279 00:19:16,520 --> 00:19:18,520 Speaker 1: it's it's very warring to a lot of people to 280 00:19:18,560 --> 00:19:23,159 Speaker 1: have young people have their first you know experience of 281 00:19:23,280 --> 00:19:25,560 Speaker 1: like what is a labor union coming from a company 282 00:19:25,560 --> 00:19:29,320 Speaker 1: that is extremely anti labor. I think it raises a 283 00:19:29,359 --> 00:19:32,240 Speaker 1: lot of questions for for the community and for people 284 00:19:32,240 --> 00:19:36,159 Speaker 1: who are um, you know, activists in this area. Roughly 285 00:19:36,240 --> 00:19:39,520 Speaker 1: like what kind of age group the students that were 286 00:19:39,520 --> 00:19:44,080 Speaker 1: in this class. Currently there are ninety four students who 287 00:19:44,080 --> 00:19:48,520 Speaker 1: are in this class and they're um, I think mostly 288 00:19:49,160 --> 00:19:52,840 Speaker 1: uh sophomores, juniors, and seniors, so they're like sixty and 289 00:19:53,040 --> 00:19:57,800 Speaker 1: eighteen years old. Um. And it's unclear this course was 290 00:19:57,880 --> 00:20:02,600 Speaker 1: designed in partnership with a with a state college and 291 00:20:02,640 --> 00:20:05,760 Speaker 1: a community college is unclear whether Like I asked the 292 00:20:05,760 --> 00:20:07,359 Speaker 1: school and as district, it was like, do a lot 293 00:20:07,359 --> 00:20:09,000 Speaker 1: of students go on how many of your students go 294 00:20:09,040 --> 00:20:11,359 Speaker 1: on to work in Amazon warehouses it? Or do they 295 00:20:11,359 --> 00:20:14,359 Speaker 1: go off to college or sort of what? Um, where 296 00:20:14,560 --> 00:20:17,480 Speaker 1: are a student? Like are they preparing students directly warehouse 297 00:20:17,520 --> 00:20:21,080 Speaker 1: work or what? And they didn't. I couldn't provide any statistics, 298 00:20:21,119 --> 00:20:23,600 Speaker 1: but I do know in in the Inland Empire, a 299 00:20:23,640 --> 00:20:27,000 Speaker 1: lot of people working in Amazon warehouses are college students 300 00:20:27,040 --> 00:20:29,240 Speaker 1: trying to get through college. To me, if it was 301 00:20:29,280 --> 00:20:32,560 Speaker 1: like kind of like subversive feudalism, you know what I mean, 302 00:20:32,600 --> 00:20:35,399 Speaker 1: like putting the seed in there from really early, like 303 00:20:35,680 --> 00:20:37,920 Speaker 1: everybody should be a part of Amazon, Like it does 304 00:20:37,960 --> 00:20:40,919 Speaker 1: feel kind of creepy to me. I mean, what do 305 00:20:41,000 --> 00:20:44,160 Speaker 1: you work? Oh yeah, I mean I think that's totally 306 00:20:44,200 --> 00:20:47,040 Speaker 1: a part of it. Like companies, and this is not 307 00:20:47,160 --> 00:20:49,880 Speaker 1: just true of Amazon, like companies want to I mean, 308 00:20:49,920 --> 00:20:52,600 Speaker 1: like look at like Instagram trying to make Instagram for 309 00:20:52,640 --> 00:20:56,320 Speaker 1: like babies or like children or something like they want to, um, 310 00:20:56,440 --> 00:20:58,879 Speaker 1: create a relationship, or like banks wanting young people to 311 00:20:58,920 --> 00:21:01,240 Speaker 1: open up bank accounts, they want to create relationship with you, 312 00:21:01,320 --> 00:21:04,359 Speaker 1: like as early as possible. Um. There's actually and I 313 00:21:04,400 --> 00:21:06,720 Speaker 1: don't know a ton about this either, but there are 314 00:21:07,240 --> 00:21:11,199 Speaker 1: these things called Bezos Academies, which are preschools that are 315 00:21:11,240 --> 00:21:14,119 Speaker 1: popping up all over the country over the past few months. 316 00:21:14,119 --> 00:21:19,639 Speaker 1: There's some in Florida, Texas, Washington State. UM. Besas Academy 317 00:21:20,080 --> 00:21:24,520 Speaker 1: starting when you can't even read yet. So we've got 318 00:21:24,560 --> 00:21:29,639 Speaker 1: the ironically named Amazon principles being taught in the warehouse, 319 00:21:29,840 --> 00:21:34,720 Speaker 1: on social media and now even in some schools. I'm 320 00:21:34,760 --> 00:21:39,040 Speaker 1: not saying rich business people shouldn't invest in education. I 321 00:21:39,080 --> 00:21:41,640 Speaker 1: think the opposite is true. They definitely should if they 322 00:21:41,680 --> 00:21:45,600 Speaker 1: want to. However, when you look at who Bezos is, 323 00:21:46,040 --> 00:21:49,760 Speaker 1: what he believes in, and how his company treats its workers, 324 00:21:50,040 --> 00:21:52,080 Speaker 1: I think we need to take a step back and 325 00:21:52,119 --> 00:21:57,440 Speaker 1: consider what the Amazon long game is in the next 326 00:21:57,480 --> 00:22:00,880 Speaker 1: episode of Megacorp, we're going to be digging into who 327 00:22:00,960 --> 00:22:04,399 Speaker 1: Jeff Bezos actually is. Is the richest man on earth, 328 00:22:04,640 --> 00:22:09,919 Speaker 1: the founder of Amazon, and much much more. Megacorp is 329 00:22:09,960 --> 00:22:14,639 Speaker 1: made by my production company H eleven for Cool Zone Media. 330 00:22:15,160 --> 00:22:20,480 Speaker 1: It's written, researched, and produced by myself, Jake Hanrahan. It 331 00:22:20,560 --> 00:22:26,280 Speaker 1: was also produced by Sophie Lichtman. Music is by Some Black, 332 00:22:26,680 --> 00:22:30,960 Speaker 1: graphics by Adam Doyle and sound engineering by Splicing Block. 333 00:22:31,960 --> 00:22:34,200 Speaker 1: If you want to get in touch, follow me on 334 00:22:34,320 --> 00:22:39,520 Speaker 1: social media at Jake Underscore Hanrahan. That's h A N 335 00:22:40,040 --> 00:22:41,840 Speaker 1: A A h A n