1 00:00:02,560 --> 00:00:06,320 Speaker 1: Shakopee is a quaint city in Minnesota. It's only about 2 00:00:06,320 --> 00:00:09,200 Speaker 1: thirty minutes from Minneapolis, but it feels like a small town. 3 00:00:09,720 --> 00:00:13,000 Speaker 1: It has a fifty style main street lined with shops, pubs, 4 00:00:13,000 --> 00:00:16,680 Speaker 1: and cafes. Customers pop in and out, and the occasional 5 00:00:16,680 --> 00:00:21,040 Speaker 1: freight train rumbles by. Like any city, Shakopee wants good 6 00:00:21,120 --> 00:00:25,080 Speaker 1: jobs for its residents. Historically, its main employers have been 7 00:00:25,079 --> 00:00:28,840 Speaker 1: a malt plant serving the beer industry, and nearby Mystic 8 00:00:28,960 --> 00:00:34,160 Speaker 1: Lake Casino. Then in a big company arrived in town. 9 00:00:34,920 --> 00:00:37,199 Speaker 1: I really I think Amazon coming to down is a 10 00:00:37,200 --> 00:00:39,040 Speaker 1: good thing. I think the city made the right column. 11 00:00:39,600 --> 00:00:42,960 Speaker 1: As you just heard, the company in question is Amazon, 12 00:00:43,520 --> 00:00:49,080 Speaker 1: the world's biggest online retailer. In Amazon opened a giant 13 00:00:49,120 --> 00:00:52,440 Speaker 1: warehouse in Shakopee. It hired a thousand people to work 14 00:00:52,479 --> 00:00:56,360 Speaker 1: there in this town of about forty people. But whether 15 00:00:56,440 --> 00:00:59,920 Speaker 1: Amazon's arrival has been a good thing for Shakopee has 16 00:01:00,000 --> 00:01:03,720 Speaker 1: has divided the town. I think overall, to benefit you 17 00:01:03,760 --> 00:01:06,600 Speaker 1: have to invest money to make money, and overall, in 18 00:01:06,640 --> 00:01:10,400 Speaker 1: the long period that Shackoby will be much better. That's 19 00:01:10,480 --> 00:01:13,720 Speaker 1: Duane worm Restriction, who owns a jewelry shop in town 20 00:01:14,160 --> 00:01:17,039 Speaker 1: and What he's referring to there is that Shackoby give 21 00:01:17,080 --> 00:01:22,000 Speaker 1: Amazon something in return, about three million dollars in tax 22 00:01:22,040 --> 00:01:25,840 Speaker 1: breaks over nine years. That's what some people don't agree with, 23 00:01:26,680 --> 00:01:29,560 Speaker 1: like Matt Layman, who owns a local auto repair shop. 24 00:01:30,120 --> 00:01:33,440 Speaker 1: He's also a Shackopee City councilman. Here he is talking 25 00:01:33,440 --> 00:01:38,480 Speaker 1: about Amazon CEO Jeff Bezos. This guy's hobby is to 26 00:01:38,520 --> 00:01:42,640 Speaker 1: put spaceships in the outer space. Okay, he just bought 27 00:01:42,640 --> 00:01:48,760 Speaker 1: out seven million dollar housing in Washington, d c. Um, 28 00:01:48,800 --> 00:01:51,200 Speaker 1: what kind of financial assistance is it that you need? 29 00:01:52,040 --> 00:01:55,000 Speaker 1: The DC mansion was actually twenty three million dollars. But 30 00:01:55,040 --> 00:01:58,280 Speaker 1: you get the point. Right now. There's a debate raging 31 00:01:58,320 --> 00:02:01,880 Speaker 1: across the country over how to create more American jobs. 32 00:02:02,360 --> 00:02:05,560 Speaker 1: President Trump says this is one of his top priorities. 33 00:02:05,960 --> 00:02:09,400 Speaker 1: It seems like every day he's congratulating or taking credit 34 00:02:09,440 --> 00:02:12,760 Speaker 1: for a company that announces plans to employ more U 35 00:02:12,880 --> 00:02:16,799 Speaker 1: S workers. Amazon was among the companies that announced new 36 00:02:16,840 --> 00:02:20,760 Speaker 1: staffing plans just before Trump was sworn into office. The 37 00:02:20,800 --> 00:02:24,240 Speaker 1: company said it would hire one hundred thousand people over 38 00:02:24,280 --> 00:02:27,720 Speaker 1: the next eighteen months. And for the cities competing to 39 00:02:27,760 --> 00:02:31,480 Speaker 1: win these new jobs from Amazon and other big corporations, 40 00:02:31,919 --> 00:02:33,839 Speaker 1: they're going to need to deal up quite a bit 41 00:02:33,960 --> 00:02:37,560 Speaker 1: and tax breaks and other kinds of subsidies. These are 42 00:02:37,639 --> 00:02:40,919 Speaker 1: the kinds of subsidies that are dividing Shackoby at this 43 00:02:41,120 --> 00:02:52,720 Speaker 1: very moment. Hi, I'm Akio and I'm Spencer Soper, and 44 00:02:52,800 --> 00:02:55,720 Speaker 1: this weekend Decrypted, We're going to be asking some tough 45 00:02:55,840 --> 00:02:59,600 Speaker 1: questions about the jobs Amazon is creating in return for 46 00:02:59,639 --> 00:03:04,280 Speaker 1: these big incentives. One report estimated that these tax breaks 47 00:03:04,320 --> 00:03:07,280 Speaker 1: could be more than a quarter of a billion dollars. 48 00:03:08,040 --> 00:03:10,000 Speaker 1: That's a lot of money that could have gone into 49 00:03:10,120 --> 00:03:14,679 Speaker 1: repairing roads and building schools, then instead, put it one way, 50 00:03:14,960 --> 00:03:17,840 Speaker 1: ended up subsidizing the growth of what was already one 51 00:03:17,880 --> 00:03:22,280 Speaker 1: of the world's largest companies. We'll also look at the 52 00:03:22,360 --> 00:03:26,080 Speaker 1: impact Amazon's new warehouse has had so far in Shacopy 53 00:03:26,240 --> 00:03:28,920 Speaker 1: to get a sense of whether these subsidies have had 54 00:03:29,000 --> 00:03:33,440 Speaker 1: positive ripple effects across this Minnesota suburb. Yeah, whether the 55 00:03:33,600 --> 00:03:37,200 Speaker 1: subsidies have been or ultimately will end up being worth 56 00:03:37,280 --> 00:03:41,200 Speaker 1: that investment. You'll be hearing from the residents I met 57 00:03:41,200 --> 00:03:44,760 Speaker 1: in Shakope, as well as people living in San Marcos, Texas, 58 00:03:45,360 --> 00:04:12,200 Speaker 1: which is another city with a new Amazon warehouse. That's 59 00:04:12,240 --> 00:04:14,560 Speaker 1: me in the shack of Pee car repair shop owned 60 00:04:14,560 --> 00:04:18,120 Speaker 1: by Matt Lahman. On top of running his business, Matt 61 00:04:18,160 --> 00:04:20,799 Speaker 1: has served on the Shakopee City Council since two thousand 62 00:04:20,800 --> 00:04:23,200 Speaker 1: and two. He took a break to puff a few 63 00:04:23,240 --> 00:04:26,520 Speaker 1: Marlboroughs and chat with me about the new Amazon warehouse. 64 00:04:27,000 --> 00:04:31,320 Speaker 1: He's wearing a baseball cap, beard and glasses. Various cities. 65 00:04:31,360 --> 00:04:35,680 Speaker 1: I suppose we're negotiating with Amazon on sweetheart deals to 66 00:04:35,760 --> 00:04:39,520 Speaker 1: try to convince them which city to go to. Apparently 67 00:04:39,520 --> 00:04:41,480 Speaker 1: we gave m a sweetheart deal that they can't refused. 68 00:04:42,640 --> 00:04:47,200 Speaker 1: Matt voted against offering incentives to Amazon. The wages that 69 00:04:47,279 --> 00:04:54,800 Speaker 1: they pay you basically have incentivized below livabola jobs. Well, 70 00:04:54,839 --> 00:04:57,280 Speaker 1: I started out to be ten twelve bucks an hour. 71 00:04:57,480 --> 00:05:00,320 Speaker 1: I see now that they're slowly moving their wages up 72 00:05:00,360 --> 00:05:04,120 Speaker 1: because they can't get no help. Um, which I guess 73 00:05:04,120 --> 00:05:07,960 Speaker 1: it's a good thing, but but even at that, they're 74 00:05:08,000 --> 00:05:10,640 Speaker 1: not livable way just to where somebody working there can't 75 00:05:10,680 --> 00:05:15,160 Speaker 1: afford to actually buy a house make the payments. Local 76 00:05:15,200 --> 00:05:18,599 Speaker 1: governments use the tax revenue that they collect from residents 77 00:05:18,600 --> 00:05:22,360 Speaker 1: and companies to pay for things like schools and libraries. 78 00:05:22,640 --> 00:05:27,760 Speaker 1: Parks and emergency services. They also have agencies whose job 79 00:05:27,800 --> 00:05:30,279 Speaker 1: it is to talk to companies and convince them to 80 00:05:30,320 --> 00:05:34,719 Speaker 1: set up their operations in your town, to create jobs 81 00:05:34,880 --> 00:05:39,080 Speaker 1: in your area. And the most shall we say, persuasive 82 00:05:39,120 --> 00:05:43,000 Speaker 1: tool they have is to offer tax breaks. But here's 83 00:05:43,040 --> 00:05:46,839 Speaker 1: the tricky part. Let's say Amazon wants a new warehouse 84 00:05:46,920 --> 00:05:50,160 Speaker 1: somewhere close to Minneapolis, where the company has a lot 85 00:05:50,240 --> 00:05:54,080 Speaker 1: of customers and it needs another facility to keep up 86 00:05:54,080 --> 00:05:57,800 Speaker 1: with rising demand. The question becomes where to build it. 87 00:05:59,240 --> 00:06:02,680 Speaker 1: Unlike Matt Lane men the councilman we just heard from, 88 00:06:02,720 --> 00:06:05,440 Speaker 1: there are a lot of people who really want Amazon 89 00:06:05,520 --> 00:06:08,960 Speaker 1: to pick their town. So a community like Shakope ends 90 00:06:09,000 --> 00:06:13,280 Speaker 1: up having to fight, sometimes against neighboring towns for Amazon's 91 00:06:13,320 --> 00:06:18,520 Speaker 1: business in a really competitive situation. It basically turns into 92 00:06:18,560 --> 00:06:22,240 Speaker 1: an auction where cities fight each other to give Amazon 93 00:06:22,360 --> 00:06:27,040 Speaker 1: the most lucrative packages they can muster. And it's Amazon 94 00:06:27,320 --> 00:06:31,040 Speaker 1: and all these other big companies that end up benefiting 95 00:06:31,240 --> 00:06:40,080 Speaker 1: from these bidding wars. All of this is based on 96 00:06:40,120 --> 00:06:43,240 Speaker 1: the idea that the city's investment will pay off over 97 00:06:43,279 --> 00:06:45,960 Speaker 1: time from the boost a new company will give to 98 00:06:46,000 --> 00:06:49,400 Speaker 1: the local economy. And if that isn't what ends up happening. 99 00:06:49,839 --> 00:06:52,599 Speaker 1: It can be hard to justify the deal. Now you 100 00:06:52,640 --> 00:06:54,279 Speaker 1: think that some of the people who would be the 101 00:06:54,320 --> 00:06:58,040 Speaker 1: most strongly opposed to having Amazon in town would be 102 00:06:58,080 --> 00:07:02,640 Speaker 1: people running local business. Is this classic narrative of these 103 00:07:02,720 --> 00:07:09,360 Speaker 1: multinational corporations killing mainstream merchants. Interestingly, I met a few 104 00:07:09,400 --> 00:07:12,760 Speaker 1: business owners in Shakopee who do think the gamblon Amazon 105 00:07:12,880 --> 00:07:16,240 Speaker 1: is working. Like Dwayne we heard from earlier, he's had 106 00:07:16,280 --> 00:07:19,760 Speaker 1: a jewelry shop downtown for the last thirty five years. 107 00:07:19,800 --> 00:07:22,280 Speaker 1: But I think what I've noticed in the last even 108 00:07:22,280 --> 00:07:26,080 Speaker 1: with Amazon coming in, I think that you know, most 109 00:07:26,080 --> 00:07:29,840 Speaker 1: people are working, and uh, you know, there's a lot 110 00:07:29,840 --> 00:07:32,440 Speaker 1: of jobs out there that can be more selective. So 111 00:07:33,200 --> 00:07:35,480 Speaker 1: I think that's kind of helped the pool a little bit. 112 00:07:36,360 --> 00:07:39,200 Speaker 1: Around the corner from the jewelry shop is Bill's Toggery, 113 00:07:39,320 --> 00:07:43,120 Speaker 1: immen's clothing store. It's been there for eighty years. I 114 00:07:43,160 --> 00:07:46,880 Speaker 1: stopped buying a Tuesday morning. The place was bustling. People 115 00:07:46,880 --> 00:07:50,000 Speaker 1: were buying dress shirts, browsing for work boots, picking up 116 00:07:50,000 --> 00:07:52,360 Speaker 1: clothes from the tailor. And the best part is what 117 00:07:52,440 --> 00:07:54,320 Speaker 1: they did develop and the tax break they didn't give 118 00:07:54,320 --> 00:07:58,520 Speaker 1: them to develop that area, created a few more flats 119 00:07:58,600 --> 00:08:00,840 Speaker 1: for other businesses that have our be built up. So 120 00:08:00,880 --> 00:08:05,160 Speaker 1: that's another local businessman feeling upbeat about Amazon. So just 121 00:08:05,240 --> 00:08:08,080 Speaker 1: their business alone has allowed it for I think at 122 00:08:08,120 --> 00:08:11,240 Speaker 1: least three other businesses to come in around them. A 123 00:08:11,360 --> 00:08:14,280 Speaker 1: ripple effect, yes, and which is a good thing for 124 00:08:14,320 --> 00:08:18,480 Speaker 1: our time. This is what economists called the multiplier effect. 125 00:08:19,080 --> 00:08:21,320 Speaker 1: There's actually been a lot of research done on the 126 00:08:21,360 --> 00:08:24,480 Speaker 1: impact of new jobs that come to a city, and 127 00:08:24,520 --> 00:08:28,280 Speaker 1: it's this research that convinces local officials to deal out 128 00:08:28,320 --> 00:08:31,480 Speaker 1: tax breaks to attract new businesses in the first place. 129 00:08:32,280 --> 00:08:35,760 Speaker 1: It goes like this, Even if Shakopee isn't making its 130 00:08:35,800 --> 00:08:39,720 Speaker 1: investment back directly from the workers Amazon is hired, the 131 00:08:39,800 --> 00:08:44,360 Speaker 1: building of the warehouse has stimulated other economic activity nearby. 132 00:08:44,760 --> 00:08:47,880 Speaker 1: And Shacopy isn't the only town that has seen this happen. 133 00:08:48,360 --> 00:08:54,000 Speaker 1: Take San Marcos in Texas. Last year, Amazon opened a 134 00:08:54,040 --> 00:08:57,840 Speaker 1: warehouse there. It's spent a hundred and ninety one million 135 00:08:57,920 --> 00:09:01,640 Speaker 1: dollars on construction and equipment and side, and it hired 136 00:09:01,720 --> 00:09:07,400 Speaker 1: three thousand people. In exchange. San Marcos promised Amazon twenty 137 00:09:07,440 --> 00:09:11,400 Speaker 1: one million dollars in tax breaks over fifteen years but 138 00:09:11,679 --> 00:09:15,320 Speaker 1: Sam Marcos says Amazon's warehouse was just the first step 139 00:09:15,400 --> 00:09:19,040 Speaker 1: in a bigger economic development plan. If you look for 140 00:09:19,080 --> 00:09:22,160 Speaker 1: it on a map, San Marcos is about halfway between 141 00:09:22,200 --> 00:09:28,360 Speaker 1: Austin and San Antonio. That's three point five million people nearby. 142 00:09:28,559 --> 00:09:30,880 Speaker 1: It wants to position itself as a shipping hub for 143 00:09:30,920 --> 00:09:33,920 Speaker 1: companies selling goods to all the people in those cities. 144 00:09:34,240 --> 00:09:38,800 Speaker 1: Besides the impact, of course of jobs and investment, you know, 145 00:09:38,880 --> 00:09:43,280 Speaker 1: having that brand name, having uh, you know a company say, well, 146 00:09:43,320 --> 00:09:47,320 Speaker 1: it's been vetted by Amazon, it's certainly worth looking into 147 00:09:47,360 --> 00:09:51,640 Speaker 1: for our operation. Um that that's a huge win for us. 148 00:09:51,679 --> 00:09:55,680 Speaker 1: That's Adriana Cruz, who heads the Greater San Marcos Partnership, 149 00:09:56,160 --> 00:10:00,200 Speaker 1: an economic development agency serving the region. She also it's 150 00:10:00,200 --> 00:10:03,439 Speaker 1: something interesting about the kinds of jobs Amazon was bringing 151 00:10:03,480 --> 00:10:06,760 Speaker 1: to San Marcos. Earlier in the show, we heard Matt 152 00:10:06,840 --> 00:10:10,600 Speaker 1: Lehman and Shakopee say that Amazon's jobs didn't pay a 153 00:10:10,640 --> 00:10:14,440 Speaker 1: whole lot, but Adriana said that in San Marcos were 154 00:10:14,480 --> 00:10:17,839 Speaker 1: retail and service jobs are the biggest industries. There is 155 00:10:17,880 --> 00:10:23,240 Speaker 1: a bonus for the people Amazon hires. The benefits begin 156 00:10:23,400 --> 00:10:27,480 Speaker 1: day one that includes medical for a one K career 157 00:10:27,600 --> 00:10:33,120 Speaker 1: choice tuish and reimbursement benefits. That's something you can't really 158 00:10:33,160 --> 00:10:36,000 Speaker 1: count on in the retail business. A lot of people 159 00:10:36,040 --> 00:10:39,480 Speaker 1: work part time or their job doesn't come with healthcare 160 00:10:39,480 --> 00:10:43,079 Speaker 1: in sick days. For our community and for the community 161 00:10:43,160 --> 00:10:46,240 Speaker 1: surrounding us, we felt it was it was a good, 162 00:10:46,640 --> 00:10:49,760 Speaker 1: you know, way to diversify our industrial sector, you know, 163 00:10:49,840 --> 00:10:53,440 Speaker 1: and enter the e commerce and logistics area. All of 164 00:10:53,480 --> 00:10:57,440 Speaker 1: that's evaluated as we take this before our our council. 165 00:10:58,000 --> 00:11:00,559 Speaker 1: You know, we thought this is going to be for 166 00:11:00,760 --> 00:11:07,120 Speaker 1: you know, a segment of our population and employer of choice. 167 00:11:09,720 --> 00:11:12,920 Speaker 1: So this brings us to our next question, what kind 168 00:11:12,920 --> 00:11:19,160 Speaker 1: of jobs is Amazon offering? The main criticism here is 169 00:11:19,200 --> 00:11:24,280 Speaker 1: that Amazon pays about twelve dollars an hour for warehouse jobs. Yeah, 170 00:11:24,280 --> 00:11:26,920 Speaker 1: these are jobs like walking around a huge warehouse to 171 00:11:26,960 --> 00:11:31,359 Speaker 1: gather things that Amazon customers have ordered, packing them in boxes, 172 00:11:31,480 --> 00:11:36,240 Speaker 1: and stilling all of the new incoming inventory. The pay 173 00:11:36,280 --> 00:11:38,720 Speaker 1: and Benny's make it a step up from flipping burgers 174 00:11:38,720 --> 00:11:41,679 Speaker 1: for minimum wage, but it's still about half the median 175 00:11:41,720 --> 00:11:45,560 Speaker 1: hourly pay for those working in car manufacturing. High paying 176 00:11:45,559 --> 00:11:50,400 Speaker 1: manufacturing jobs are the big jackpot for economic development agencies. 177 00:11:51,040 --> 00:11:54,120 Speaker 1: That means factory workers have a lot more money to 178 00:11:54,280 --> 00:11:57,760 Speaker 1: drop in the local economy, whether it's the restaurants and 179 00:11:57,800 --> 00:12:00,360 Speaker 1: bars you're frequent at the end of a shift, or 180 00:12:00,400 --> 00:12:03,160 Speaker 1: the local doctor you go see when you catch the flu. 181 00:12:03,760 --> 00:12:05,680 Speaker 1: But when you get paid a lot less as an 182 00:12:05,720 --> 00:12:09,240 Speaker 1: Amazon warehouse worker, you also have a lot less money 183 00:12:09,280 --> 00:12:13,240 Speaker 1: to spend. And because of that, attracting low wage jobs 184 00:12:13,440 --> 00:12:16,679 Speaker 1: doesn't help your economy the same way attracting higher paid 185 00:12:16,679 --> 00:12:20,559 Speaker 1: work does. Amazon should not be subsidized at all. Taxpayer 186 00:12:20,559 --> 00:12:24,520 Speaker 1: should stand back on what the dynamics of the market 187 00:12:24,640 --> 00:12:29,439 Speaker 1: in retailing play out. That's Greg Leroy, and he says 188 00:12:29,480 --> 00:12:34,040 Speaker 1: you can't even compare the jobs Amazon with the manufacturing job. 189 00:12:34,520 --> 00:12:36,800 Speaker 1: Although to be fair, it's not like Shakoby had the 190 00:12:36,960 --> 00:12:40,640 Speaker 1: choice of whether to invite a factory or an Amazon warehouse. 191 00:12:40,720 --> 00:12:46,160 Speaker 1: Right factory jobs are disappearing across the country. Greg would 192 00:12:46,160 --> 00:12:50,800 Speaker 1: even argue Amazon isn't really creating jobs at all, it's 193 00:12:50,840 --> 00:12:54,520 Speaker 1: just shifting them over from department stores and big box 194 00:12:54,600 --> 00:12:58,720 Speaker 1: retailers like Walmart. The broader issue here is there's a 195 00:12:58,760 --> 00:13:02,680 Speaker 1: market change going on driven by a business model. Amazon's 196 00:13:02,880 --> 00:13:06,400 Speaker 1: very aggressive market share business model in which it is 197 00:13:06,480 --> 00:13:09,480 Speaker 1: growing at the expense of other retailers. You know. The 198 00:13:09,480 --> 00:13:13,360 Speaker 1: headlines are full of closures by the Limited and Sears 199 00:13:13,679 --> 00:13:18,079 Speaker 1: and Kmart and Macy's and lots of regional and local 200 00:13:18,160 --> 00:13:22,120 Speaker 1: chains as well. Greg is the executive director at Good 201 00:13:22,200 --> 00:13:25,880 Speaker 1: Jobs First. It's a watchdog group that tracks the results 202 00:13:25,880 --> 00:13:29,280 Speaker 1: of so called job creation deals like the ones Amazon 203 00:13:29,400 --> 00:13:32,880 Speaker 1: is negotiating. If Macy's and Sears and km Ard are 204 00:13:32,880 --> 00:13:35,400 Speaker 1: going to shrink and Amazon is going to grow, that's 205 00:13:35,440 --> 00:13:38,960 Speaker 1: the market. It's not like there's some poverty alleviation mission 206 00:13:39,000 --> 00:13:43,400 Speaker 1: going on here. The group put out a report last 207 00:13:43,480 --> 00:13:47,079 Speaker 1: year that said Amazon received more than a quarter billion 208 00:13:47,160 --> 00:13:50,600 Speaker 1: dollars in tax breaks to fuel its warehouse expansion over 209 00:13:50,640 --> 00:13:54,040 Speaker 1: a two year period. They say Amazon shouldn't get tax 210 00:13:54,080 --> 00:13:57,640 Speaker 1: breaks because it has to build these facilities anyway, and 211 00:13:57,640 --> 00:14:00,280 Speaker 1: his little choice somewhere they should go. You and I 212 00:14:00,360 --> 00:14:03,400 Speaker 1: do not have more money with which to shop. This 213 00:14:03,520 --> 00:14:08,240 Speaker 1: is not net growth in retailing. It's churn in retailing 214 00:14:08,280 --> 00:14:13,160 Speaker 1: between different companies and different business models. We have Macy's 215 00:14:13,160 --> 00:14:17,959 Speaker 1: and Sears and Kmart getting displaced by Amazon. Again. It's 216 00:14:17,960 --> 00:14:20,400 Speaker 1: all retailing, and it's all about shopping. It's just a 217 00:14:20,440 --> 00:14:23,520 Speaker 1: different way to shop. But it's the same amount of 218 00:14:23,560 --> 00:14:32,560 Speaker 1: buying power available with which to shop. Of course, the 219 00:14:32,800 --> 00:14:35,600 Speaker 1: counterpoint to all of this is the people who actually 220 00:14:35,720 --> 00:14:39,440 Speaker 1: take the jobs at Amazon brings to towns like Shakopee 221 00:14:39,640 --> 00:14:44,480 Speaker 1: and sam Marcos. Spencer, you talked to one of these workers. Yeah, 222 00:14:44,520 --> 00:14:47,440 Speaker 1: his name was Derek Peters, and he's a veteran. He 223 00:14:47,560 --> 00:14:50,280 Speaker 1: served more than four years in the army, including more 224 00:14:50,280 --> 00:14:53,120 Speaker 1: than a year in Iraq. I come from a military family. 225 00:14:53,280 --> 00:14:55,800 Speaker 1: My grandfather was in the army. My father was in 226 00:14:55,840 --> 00:14:58,320 Speaker 1: the army, and I had a brother who had joined 227 00:14:59,040 --> 00:15:02,400 Speaker 1: West Point and I had to deploy to Iraq, and 228 00:15:02,400 --> 00:15:03,960 Speaker 1: so I was able to, you know, see from his 229 00:15:04,040 --> 00:15:07,200 Speaker 1: letters and emails home, the experiences that he was having. 230 00:15:07,200 --> 00:15:08,560 Speaker 1: I was able to see, you know, what he was 231 00:15:08,600 --> 00:15:10,880 Speaker 1: doing for our country and also what he was doing 232 00:15:10,880 --> 00:15:14,160 Speaker 1: for him as an individual and a leader, and so 233 00:15:14,400 --> 00:15:18,720 Speaker 1: so compelled to join the army. San Marcos has a 234 00:15:18,800 --> 00:15:21,680 Speaker 1: lot of veterans in its workforce because it's just a 235 00:15:21,680 --> 00:15:24,560 Speaker 1: couple of hours away from forth Hood, which is one 236 00:15:24,560 --> 00:15:28,480 Speaker 1: of the largest military bases in the world, and last year, 237 00:15:28,600 --> 00:15:32,520 Speaker 1: Amazon committed to hiring twenty five thousand veterans and their 238 00:15:32,560 --> 00:15:36,920 Speaker 1: spouses over the next five years. Derek started working with 239 00:15:36,960 --> 00:15:40,040 Speaker 1: Amazon as an intern while he was completing a master's 240 00:15:40,080 --> 00:15:43,400 Speaker 1: in business administration. He said, it was tough finding work 241 00:15:43,480 --> 00:15:46,280 Speaker 1: after the recession of two thousand eight, and so one 242 00:15:46,320 --> 00:15:49,120 Speaker 1: of the things I hadn't anticipated was how hard it 243 00:15:49,160 --> 00:15:51,640 Speaker 1: was going to be because of the recent recession to 244 00:15:51,760 --> 00:15:55,560 Speaker 1: find an opportunity available. And I probably applied UH to 245 00:15:55,920 --> 00:15:59,320 Speaker 1: fifteen different companies, probably was interviewed by ten and what 246 00:15:59,440 --> 00:16:02,400 Speaker 1: I kept hearing from recruiters was, Hey, we like you, 247 00:16:03,040 --> 00:16:05,800 Speaker 1: but we can't take a chance on your background because 248 00:16:05,800 --> 00:16:07,840 Speaker 1: you're making a career switch, right and they say, But 249 00:16:07,920 --> 00:16:11,000 Speaker 1: then he got a call from Amazon. I ended up 250 00:16:11,000 --> 00:16:14,080 Speaker 1: getting a project that I worked on around conveyance and 251 00:16:14,200 --> 00:16:17,960 Speaker 1: material handling UH and I didn't have a background in this, 252 00:16:18,080 --> 00:16:20,680 Speaker 1: and so I was really kind of surprised that they 253 00:16:20,680 --> 00:16:22,800 Speaker 1: would they would let me do this. I was able 254 00:16:22,800 --> 00:16:25,400 Speaker 1: to successfully complete the project, but really just fell in 255 00:16:25,400 --> 00:16:28,640 Speaker 1: love with with the company, with how they let me 256 00:16:28,680 --> 00:16:31,000 Speaker 1: come in and and add value in any way I could, 257 00:16:31,080 --> 00:16:35,320 Speaker 1: how they valued my military background. Today, Derek is an 258 00:16:35,320 --> 00:16:39,480 Speaker 1: assistant manager at the warehouse in San Marcos. He was 259 00:16:39,560 --> 00:16:42,400 Speaker 1: part of the team that helped open the facility last year, 260 00:16:47,640 --> 00:16:51,440 Speaker 1: so there's no question that Amazon is employing lots of people, 261 00:16:52,080 --> 00:16:54,320 Speaker 1: even if at least some of those jobs with Amazon 262 00:16:54,640 --> 00:16:59,440 Speaker 1: might be merely replacing positions that existed at other retailers. 263 00:17:00,320 --> 00:17:03,480 Speaker 1: And hearing from Derek and hearing from the local businesses 264 00:17:03,480 --> 00:17:06,960 Speaker 1: and Shakope, it sounds like Amazon's presence has been a 265 00:17:06,960 --> 00:17:10,680 Speaker 1: pretty good thing zooming out from these two towns, though, 266 00:17:10,840 --> 00:17:13,879 Speaker 1: and looking at this whole practice, the cities and states 267 00:17:13,920 --> 00:17:16,960 Speaker 1: trying to outbid each other with bigger and bigger subsidies, 268 00:17:17,920 --> 00:17:19,919 Speaker 1: it makes you wonder if it's a good thing for 269 00:17:19,960 --> 00:17:23,440 Speaker 1: the country over time. Because for America as a whole, 270 00:17:23,480 --> 00:17:26,760 Speaker 1: it doesn't matter if this new warehouse goes to this 271 00:17:26,920 --> 00:17:30,480 Speaker 1: or that suburb of Minneapolis, as long as it's within 272 00:17:30,560 --> 00:17:35,800 Speaker 1: the United States. But there's still competition between cities and 273 00:17:35,840 --> 00:17:39,880 Speaker 1: states within the US, which enables companies to pit them 274 00:17:39,880 --> 00:17:43,879 Speaker 1: against each other. It's similar to professional sports teams playing 275 00:17:43,880 --> 00:17:46,359 Speaker 1: cities against one another for the nicest stadium in the 276 00:17:46,480 --> 00:17:50,320 Speaker 1: best terms. And this is not just Amazon, it's basically 277 00:17:50,359 --> 00:17:53,680 Speaker 1: every company that can afford to make these flexible decisions 278 00:17:53,720 --> 00:17:58,200 Speaker 1: about where to build new operations. Because of this, American 279 00:17:58,240 --> 00:18:02,480 Speaker 1: taxpayers end up poor. It's essentially transferring all this money 280 00:18:02,480 --> 00:18:05,720 Speaker 1: that could have been spent on schools and public parks 281 00:18:05,840 --> 00:18:09,000 Speaker 1: or just funded tax breaks for US actual individual residents, 282 00:18:09,560 --> 00:18:12,640 Speaker 1: and enriching these companies, many of which are already doing 283 00:18:12,720 --> 00:18:16,440 Speaker 1: quite well. Like Amazon. It's one of the biggest success 284 00:18:16,520 --> 00:18:20,840 Speaker 1: stories of our generation, and that success has made CEO 285 00:18:20,920 --> 00:18:25,360 Speaker 1: Jeff Bezos an incredibly rich man. He's the third wealthiest 286 00:18:25,400 --> 00:18:28,520 Speaker 1: man in the world, behind Bill Gates and Warren Buffett, 287 00:18:28,840 --> 00:18:32,840 Speaker 1: with the net worth exceeding seventy billion dollars. It's also 288 00:18:32,880 --> 00:18:35,760 Speaker 1: made a lot of money for Amazon shareholders. Here's Greg 289 00:18:35,840 --> 00:18:38,840 Speaker 1: Leroy again, there absolutely is an issue here of the 290 00:18:38,920 --> 00:18:41,439 Speaker 1: sort of corporate rich getting richer or the corporate one 291 00:18:41,480 --> 00:18:45,160 Speaker 1: percent getting richer. We looked carefully, for example, at fourteen 292 00:18:45,640 --> 00:18:49,280 Speaker 1: states with programs that were theoretically open to companies of 293 00:18:49,280 --> 00:18:52,600 Speaker 1: every size, but we found that seventy of the deals 294 00:18:52,640 --> 00:18:56,000 Speaker 1: and of the money was going to big you know, 295 00:18:56,080 --> 00:19:00,720 Speaker 1: usually multi state multinational companies. Even though these programs are 296 00:19:00,840 --> 00:19:05,080 Speaker 1: theoretically open to small and local entrepreneurs, In reality, the 297 00:19:05,119 --> 00:19:07,040 Speaker 1: vast majority of money is going to companies that have 298 00:19:07,080 --> 00:19:10,359 Speaker 1: the most aggressive business strategies, and the and the tax 299 00:19:10,440 --> 00:19:12,919 Speaker 1: consultants and the lawyers and the site location consultants to 300 00:19:12,960 --> 00:19:16,919 Speaker 1: help them get those tax breaks. From the taxpayer's perspective, 301 00:19:17,080 --> 00:19:19,600 Speaker 1: it'd be a whole lot cheaper if every city and 302 00:19:19,680 --> 00:19:23,760 Speaker 1: state in America just suddenly agreed to stop offering these 303 00:19:23,760 --> 00:19:28,080 Speaker 1: incentives and Amazon just randomly picked a new location out 304 00:19:28,080 --> 00:19:31,920 Speaker 1: of a hat. At this stage, you may be wondering 305 00:19:32,640 --> 00:19:35,960 Speaker 1: what's Amazon's position and all of this. We did ask, 306 00:19:36,040 --> 00:19:42,560 Speaker 1: but the company decided not to comment. Number One, it 307 00:19:42,600 --> 00:19:45,159 Speaker 1: makes no sense to me to subsidize a business whose 308 00:19:45,240 --> 00:19:48,000 Speaker 1: CEO is one of the richest people in the country. 309 00:19:48,960 --> 00:19:51,840 Speaker 1: That's Matt Lehman again from the shack Apee City Council. 310 00:19:53,200 --> 00:19:57,200 Speaker 1: Remember Matt voted against the Amazon deal for his town, 311 00:19:57,640 --> 00:20:00,520 Speaker 1: but it went through anyway. Since then, a new mayor 312 00:20:00,560 --> 00:20:03,040 Speaker 1: has been elected and the town has adopted a new 313 00:20:03,200 --> 00:20:06,639 Speaker 1: nineteen dollar an hour minimum wage for companies looking for 314 00:20:06,680 --> 00:20:10,000 Speaker 1: similar tax breaks for job creation deals. Now are two. 315 00:20:10,080 --> 00:20:12,840 Speaker 1: It makes no sense to me to subsidize a business 316 00:20:12,840 --> 00:20:18,360 Speaker 1: whose workers will require additional taxpayer funded subsidies. How does 317 00:20:18,400 --> 00:20:22,359 Speaker 1: that help the taxpayer? Okay, it doesn't. This is an 318 00:20:22,359 --> 00:20:27,400 Speaker 1: important point. These additional taxpayer subsidies. Amazon's wages are low 319 00:20:27,520 --> 00:20:29,960 Speaker 1: enough that parents of one or two children working at 320 00:20:30,000 --> 00:20:33,479 Speaker 1: Amazon could be eligible for things like food stamps and 321 00:20:33,560 --> 00:20:38,080 Speaker 1: housing subsidies. These benefits are calculated based on household income 322 00:20:38,440 --> 00:20:41,199 Speaker 1: and number of people in the household, so young families 323 00:20:41,240 --> 00:20:44,320 Speaker 1: would be likely to qualify. That's been a big part 324 00:20:44,359 --> 00:20:46,840 Speaker 1: of the minimum wage debate that if wages are so 325 00:20:46,960 --> 00:20:51,760 Speaker 1: low workers can't support themselves. Taxpayers supporting food stamps and 326 00:20:51,800 --> 00:20:55,960 Speaker 1: housing assistance are essentially subsidizing the companies that benefit from 327 00:20:55,960 --> 00:20:58,639 Speaker 1: this low wage labor. They don't want to see me 328 00:20:58,800 --> 00:21:02,480 Speaker 1: take their hard earned money subsidize a business and then 329 00:21:02,560 --> 00:21:05,280 Speaker 1: turn around and come back to them again and say, gee, 330 00:21:05,320 --> 00:21:09,439 Speaker 1: because I subsidized as low paying business, I need more 331 00:21:09,480 --> 00:21:14,080 Speaker 1: of your money to subsidize these workers houses, daycare, transportation, 332 00:21:14,280 --> 00:21:26,199 Speaker 1: and social needs. Um. That's crazy, but even low paying 333 00:21:26,320 --> 00:21:30,200 Speaker 1: jobs are better than no jobs at all. Right, There's 334 00:21:30,359 --> 00:21:34,439 Speaker 1: another scarier scenario looming ahead of us, which is automation. 335 00:21:37,000 --> 00:21:42,200 Speaker 1: Amazon already has forty robots deployed in warehouses around the world, 336 00:21:42,520 --> 00:21:46,600 Speaker 1: including in Shackopine, and it's experimenting with a Seattle convenience 337 00:21:46,600 --> 00:21:50,760 Speaker 1: store that doesn't have cash registers or cashiers. You know, 338 00:21:50,840 --> 00:21:54,000 Speaker 1: but I don't think I'm buying this job killing narrative 339 00:21:54,119 --> 00:21:58,679 Speaker 1: just yet. Yeah, Amazon defies that by deploying robots and 340 00:21:58,800 --> 00:22:02,600 Speaker 1: hiring tens of thousands of people simultaneously. And these tax 341 00:22:02,640 --> 00:22:05,919 Speaker 1: breaks usually have strings attached to make sure Amazon is 342 00:22:06,160 --> 00:22:10,000 Speaker 1: honoring its hiring commitments. If it fails to maintain the 343 00:22:10,119 --> 00:22:15,199 Speaker 1: jobs promised, it loses the tax break. Suspenser give us 344 00:22:15,280 --> 00:22:19,919 Speaker 1: the final take for every economic development official listening to 345 00:22:20,000 --> 00:22:24,880 Speaker 1: this show. Are Amazon's jobs worth a tax break? It's 346 00:22:24,920 --> 00:22:27,480 Speaker 1: an interesting question that will keep playing out with Amazon 347 00:22:27,520 --> 00:22:31,200 Speaker 1: and other companies, and the willingness of cities and states 348 00:22:31,240 --> 00:22:35,240 Speaker 1: to doll outbreaks varies depending on the health of the economy. 349 00:22:35,560 --> 00:22:38,240 Speaker 1: As the labor market titans, they can afford to be 350 00:22:38,280 --> 00:22:41,960 Speaker 1: more finicky, and Amazon might encounter tougher wage requirements like 351 00:22:42,040 --> 00:22:45,680 Speaker 1: the ones that were just adopted in Shakopee. We'll leave 352 00:22:45,720 --> 00:22:49,239 Speaker 1: you with these parting thoughts from Matt. My job is 353 00:22:49,240 --> 00:22:53,760 Speaker 1: not too help just one company. My job is to 354 00:22:53,840 --> 00:22:58,000 Speaker 1: help the taxpayers out large, my constituents. My constituents would 355 00:22:58,000 --> 00:23:00,640 Speaker 1: like to keep the money they earned. They don't want 356 00:23:00,640 --> 00:23:13,719 Speaker 1: to give it to billionaires. And that's it for this 357 00:23:13,720 --> 00:23:17,679 Speaker 1: week's episode of Decrypted. Thanks for listening. Tell us what 358 00:23:17,760 --> 00:23:20,080 Speaker 1: you thought of the show, Record us a voice memo 359 00:23:20,200 --> 00:23:24,400 Speaker 1: and send it to us at Decrypted at Bloomberg dot net, 360 00:23:25,160 --> 00:23:27,640 Speaker 1: or you can write to me on Twitter I'm at 361 00:23:27,760 --> 00:23:32,480 Speaker 1: Spencer Soaper and I'm at Akiso seven. You can subscribe 362 00:23:32,480 --> 00:23:35,800 Speaker 1: to Decrypted on iTunes or wherever you get your podcasts 363 00:23:36,119 --> 00:23:38,440 Speaker 1: and leave us a rating in a review. This helps 364 00:23:38,480 --> 00:23:40,560 Speaker 1: us make our show better and it also gets our 365 00:23:40,640 --> 00:23:43,800 Speaker 1: podcast in front of more listeners. And this month we're 366 00:23:43,840 --> 00:23:47,760 Speaker 1: participating in a fun project on Twitter where we're recommending 367 00:23:47,880 --> 00:23:52,320 Speaker 1: everyone our favorite podcasts with the hashtag tripod as in 368 00:23:52,520 --> 00:23:57,119 Speaker 1: try a podcast. My favorite show aside from Decrypted is 369 00:23:57,240 --> 00:24:01,240 Speaker 1: a Gimlet media show called Startup and I Like a Choir. 370 00:24:01,720 --> 00:24:04,760 Speaker 1: It's a podcast put out by Madrona, a venture capital 371 00:24:04,800 --> 00:24:09,040 Speaker 1: firm in Seattle. This episode was produced by Pierre Getkari 372 00:24:09,359 --> 00:24:13,400 Speaker 1: Magnus Hendrickson, and Liz Smith. Emily Busso edited the print 373 00:24:13,480 --> 00:24:15,960 Speaker 1: story running with this article, which you can read on 374 00:24:16,000 --> 00:24:20,040 Speaker 1: Bloomberg dot com slash Technology. Alec McCabe is head of 375 00:24:20,040 --> 00:24:23,840 Speaker 1: Bloomberg Podcasts and a special thanks to our reporter Shelley Hagen, 376 00:24:24,080 --> 00:24:26,639 Speaker 1: who helped with research for today's show. We'll see you 377 00:24:26,640 --> 00:24:27,080 Speaker 1: next week,