1 00:00:03,240 --> 00:00:06,640 Speaker 1: Global business news twenty four hours a day at Bloomberg 2 00:00:06,680 --> 00:00:09,760 Speaker 1: dot com, the Radio plus Mobile Act and on your radio. 3 00:00:10,039 --> 00:00:14,160 Speaker 1: This is a Bloomberg Business Flash from Bloomberg World Headquarters 4 00:00:14,160 --> 00:00:16,599 Speaker 1: on Catherine Coldery of Bloomberg. Taking Stock is brought to 5 00:00:16,600 --> 00:00:19,639 Speaker 1: you by National Realty Managers of New York City cash 6 00:00:19,680 --> 00:00:23,279 Speaker 1: Flow real Estate, providing you twelve percent annualized returns with 7 00:00:23,360 --> 00:00:26,439 Speaker 1: immediate monthly distribution. See them at m r I, a 8 00:00:26,600 --> 00:00:29,680 Speaker 1: dot net which the markets every fifteen minutes throughout the 9 00:00:29,680 --> 00:00:31,880 Speaker 1: trading day. Let's go over to the First Word Breaking 10 00:00:31,880 --> 00:00:35,200 Speaker 1: news desk for today's afternoon call with Bill Maloney. Bill, 11 00:00:35,560 --> 00:00:39,240 Speaker 1: Good afternoon, Katherine. Stocks are under pressure today and reports 12 00:00:39,240 --> 00:00:42,760 Speaker 1: of a growing consensus within the e c B to taper. 13 00:00:42,920 --> 00:00:45,760 Speaker 1: QUEI dall is currently down a hundred and twenty one point, 14 00:00:45,800 --> 00:00:49,040 Speaker 1: says to be drop fifteen and a ZAC falls three. 15 00:00:49,440 --> 00:00:51,960 Speaker 1: Small cap six hundreds down five points, and the U 16 00:00:52,040 --> 00:00:55,480 Speaker 1: S Tenniel jumps to one point six eight percent. Ten 17 00:00:55,560 --> 00:00:57,680 Speaker 1: out of eleven s V sectors are lower, led by 18 00:00:57,720 --> 00:01:01,560 Speaker 1: losses in real estate, utilities and telecom. Um only financials 19 00:01:01,600 --> 00:01:07,000 Speaker 1: gained down. Transports fall thirty five, utility six sixteen, Nazerbotech 20 00:01:07,080 --> 00:01:09,720 Speaker 1: slump twenty and the VIX is higher by six percent. 21 00:01:10,240 --> 00:01:12,640 Speaker 1: Leaders to the downside of the down included three M, 22 00:01:12,720 --> 00:01:16,640 Speaker 1: Verizon and Chevron, while JP Morgan, Goldman, Sachs and Apple 23 00:01:16,800 --> 00:01:19,280 Speaker 1: led Salesforce jumped as much as three and a a half 24 00:01:19,280 --> 00:01:21,600 Speaker 1: percentage to day after the CFO said the company will 25 00:01:21,600 --> 00:01:24,800 Speaker 1: be a ten billion dollar company next year in revenue, 26 00:01:24,959 --> 00:01:28,759 Speaker 1: while Newmont Mining fell ten percent amid three percentic lines 27 00:01:28,800 --> 00:01:32,280 Speaker 1: in gold Life from the first breaking news DESKMBO Maloney, Katherine, 28 00:01:32,640 --> 00:01:35,160 Speaker 1: thank you villan to hear breaking news over your Bloomberg 29 00:01:35,200 --> 00:01:37,960 Speaker 1: type s q U A K on your terminal West 30 00:01:37,959 --> 00:01:40,280 Speaker 1: Texas Center. The ac crude oils down twenty five cents 31 00:01:40,280 --> 00:01:42,559 Speaker 1: a barrel, half a percent to forty eight fifty six. 32 00:01:42,760 --> 00:01:45,880 Speaker 1: It's about gold down forty one dollars and ounce. That's 33 00:01:45,920 --> 00:01:48,200 Speaker 1: the loss of three percent, trading at twelve seventy one 34 00:01:48,320 --> 00:01:51,520 Speaker 1: sixty ten year Treasury down seventeen thirty seconds, yield at 35 00:01:51,520 --> 00:01:54,800 Speaker 1: one point sixty eight twenty nine. And that's a Bloomberg 36 00:01:54,800 --> 00:01:59,160 Speaker 1: business flash. You're listening to Taking Stock with Kathleen Hayes 37 00:01:59,200 --> 00:02:03,880 Speaker 1: and Pim Fox on Bloomberg Radio. The restaurant industry and 38 00:02:04,200 --> 00:02:08,520 Speaker 1: federal government regulations. What are the connections. Well, here to 39 00:02:08,560 --> 00:02:10,800 Speaker 1: tell us all about it is someone who's an expert. 40 00:02:11,000 --> 00:02:13,560 Speaker 1: We have Mike Halin. He is our a senior restaurant 41 00:02:13,600 --> 00:02:18,320 Speaker 1: analyst for Bloomberg Intelligence, providing real time unique research in 42 00:02:18,360 --> 00:02:21,760 Speaker 1: a variety of industries as well as the marketed government 43 00:02:21,800 --> 00:02:26,079 Speaker 1: factors that affect business operations are terminal. Customers can access 44 00:02:26,120 --> 00:02:30,760 Speaker 1: this function at B I go all right, b I go, 45 00:02:31,120 --> 00:02:35,600 Speaker 1: Mike Halen, go for it. The restaurant industry and federal regulations. 46 00:02:36,320 --> 00:02:38,760 Speaker 1: I know a lot of restaurant owners. They have not 47 00:02:38,919 --> 00:02:42,720 Speaker 1: been happy campers the last couple of months. No, they haven't. 48 00:02:43,120 --> 00:02:45,720 Speaker 1: Actually this whole year, this whole year has been very difficult. 49 00:02:45,760 --> 00:02:49,360 Speaker 1: Started out great weather aided comp right, we had a 50 00:02:49,440 --> 00:02:54,000 Speaker 1: very mild winter compared to the year a year ago, 51 00:02:54,120 --> 00:02:56,200 Speaker 1: and then since then it's been all downhill. I mean, 52 00:02:56,639 --> 00:02:58,840 Speaker 1: I'd say the biggest thing going on here is the 53 00:02:58,919 --> 00:03:01,679 Speaker 1: growing gap between eating at home versus away from home. 54 00:03:02,080 --> 00:03:03,800 Speaker 1: I think a lot more people are, you know, just 55 00:03:03,800 --> 00:03:06,600 Speaker 1: cutting back on lunch or dinner visits and deciding to 56 00:03:06,639 --> 00:03:08,800 Speaker 1: either cook at home or brown bag their lunch because 57 00:03:09,200 --> 00:03:11,320 Speaker 1: the gap is at a record high. We've never seen 58 00:03:11,360 --> 00:03:14,839 Speaker 1: it this high um. And you know, and and it's 59 00:03:14,840 --> 00:03:18,000 Speaker 1: all ties back to labor. Restaurants are very labor intensive, 60 00:03:18,120 --> 00:03:20,320 Speaker 1: and I you've done some terrific work, and I just 61 00:03:20,360 --> 00:03:23,040 Speaker 1: want to highlight it because you know, on the terminal 62 00:03:23,480 --> 00:03:27,320 Speaker 1: B I go Bloomberg Intelligence and and following it more broadly, 63 00:03:27,680 --> 00:03:31,480 Speaker 1: might you've done terrific work on the minimum wage movement 64 00:03:31,680 --> 00:03:34,160 Speaker 1: give or pay everybody fifteen dollars an hour? It has started, 65 00:03:34,200 --> 00:03:36,160 Speaker 1: for example, to the steps are being taken in New 66 00:03:36,240 --> 00:03:39,640 Speaker 1: York City. But rest he said, very labor intensive, and 67 00:03:39,720 --> 00:03:43,880 Speaker 1: restaurants rely on sort of entry level jobs dishwashers, you know, 68 00:03:43,920 --> 00:03:46,360 Speaker 1: the lion cooks, where they may not be getting fifteen 69 00:03:46,400 --> 00:03:48,360 Speaker 1: dollars an hour, but they might be people who wouldn't 70 00:03:48,400 --> 00:03:51,560 Speaker 1: get a job otherwise. And if I'm a small business 71 00:03:52,000 --> 00:03:55,960 Speaker 1: in a very tight margin business, like a small restaurant, 72 00:03:56,120 --> 00:03:58,040 Speaker 1: how am I going to pay people fifteen bucks an hour? 73 00:03:58,800 --> 00:04:00,360 Speaker 1: A lot of them can't. I mean, like you said, 74 00:04:00,360 --> 00:04:02,840 Speaker 1: it's a low single digit, mid single digit margin business. 75 00:04:02,920 --> 00:04:05,920 Speaker 1: Really there's not much room here. And and they've actually 76 00:04:06,000 --> 00:04:08,680 Speaker 1: restaurants have quote a break because food costs are down. 77 00:04:09,080 --> 00:04:12,560 Speaker 1: So you know what's gonna happen when when commodity prices 78 00:04:12,680 --> 00:04:16,040 Speaker 1: turned back up. UM, what's gonna happen. What we see 79 00:04:16,040 --> 00:04:19,919 Speaker 1: happening is greater investment in automation technology. So what a 80 00:04:19,920 --> 00:04:23,120 Speaker 1: lot of chains are doing now, UM are testing kiosks 81 00:04:23,160 --> 00:04:26,680 Speaker 1: because frankly, millennials want this. They don't want to even 82 00:04:26,680 --> 00:04:29,719 Speaker 1: take their headphones off to talk to somebody. They just 83 00:04:29,760 --> 00:04:32,200 Speaker 1: want to keep them in order via kiosks, sit down 84 00:04:32,240 --> 00:04:35,240 Speaker 1: and get their food. UM. So we're they're testing it already, 85 00:04:35,240 --> 00:04:39,000 Speaker 1: and they're especially looking at states like Washington and California 86 00:04:39,000 --> 00:04:41,599 Speaker 1: and Washington d see where they're gonna have fifteen dollar 87 00:04:41,640 --> 00:04:45,320 Speaker 1: minimum wages because the r I on the automation technology 88 00:04:45,680 --> 00:04:48,360 Speaker 1: is better. But if you raised minimum the minimum wage 89 00:04:48,400 --> 00:04:51,240 Speaker 1: to twelve dollars or fifteen dollars across the country, you're 90 00:04:51,240 --> 00:04:56,120 Speaker 1: gonna see these changes start to accelerate. Uh, the investment. 91 00:04:56,200 --> 00:04:59,039 Speaker 1: So you also see at casual dining chains, chains like 92 00:04:59,080 --> 00:05:03,320 Speaker 1: Texas Roadhouse, Buffalo Wild Wings, they're testing handheld servers so 93 00:05:03,600 --> 00:05:05,440 Speaker 1: every time somebody takes your order, they don't have to 94 00:05:05,440 --> 00:05:07,359 Speaker 1: go to the POS system in type. I don't like 95 00:05:07,400 --> 00:05:09,640 Speaker 1: it at the report when I just put my put 96 00:05:09,960 --> 00:05:12,640 Speaker 1: put my cap something and then someone comes over I'm 97 00:05:12,680 --> 00:05:14,120 Speaker 1: just not a fan and I was. I worked in 98 00:05:14,120 --> 00:05:15,919 Speaker 1: the restaurant business for many years. Yeah, a lot of 99 00:05:15,920 --> 00:05:18,560 Speaker 1: people like the human interaction. At the high end, you know, 100 00:05:18,680 --> 00:05:22,599 Speaker 1: people definitely will want to continue to have that UM 101 00:05:22,800 --> 00:05:26,680 Speaker 1: service and feel the hospitality of of places like the 102 00:05:26,720 --> 00:05:29,760 Speaker 1: Union Score Hospitality Group UM. But on the on the 103 00:05:29,839 --> 00:05:33,360 Speaker 1: lower end, you know, there's not too many ways out 104 00:05:33,360 --> 00:05:36,680 Speaker 1: of this other than automating for these you know, fast 105 00:05:36,720 --> 00:05:39,960 Speaker 1: casual and casual dyning chains. I'm going to give you 106 00:05:40,000 --> 00:05:43,479 Speaker 1: the secret see here that there was something called the automat, 107 00:05:44,160 --> 00:05:46,719 Speaker 1: and the automat you put your change in a little window, 108 00:05:46,920 --> 00:05:49,200 Speaker 1: in a little box and you could open the door 109 00:05:49,240 --> 00:05:51,520 Speaker 1: and you get your sandwich out of the automat. So 110 00:05:51,560 --> 00:05:53,640 Speaker 1: there's there's the answer to all that. It's gonna be 111 00:05:53,640 --> 00:05:55,960 Speaker 1: like the Jetsons, right right, Well, yeah, they're coming home 112 00:05:55,960 --> 00:05:58,719 Speaker 1: to rust um talking about the Jetsons. What are the 113 00:05:58,720 --> 00:06:01,480 Speaker 1: companies who are the best makes of the technology and 114 00:06:01,520 --> 00:06:04,640 Speaker 1: the implementers of the technology in order to get rid 115 00:06:04,640 --> 00:06:07,960 Speaker 1: of these repetitive tasks. Yeah, So it's interesting because it's 116 00:06:08,120 --> 00:06:11,200 Speaker 1: very disperate. There's not a very um these like family 117 00:06:11,240 --> 00:06:17,279 Speaker 1: businesses or like slicing, dicing, packaging, moving convey I mean 118 00:06:17,480 --> 00:06:21,280 Speaker 1: you know, yeah, so you know that that Yeah, that's 119 00:06:21,360 --> 00:06:23,560 Speaker 1: I I peeling. But um no on the on the 120 00:06:23,600 --> 00:06:27,760 Speaker 1: technology side, there's not any really pure plays. Um, you know, 121 00:06:28,000 --> 00:06:31,080 Speaker 1: I think your best bet is to kind of um, 122 00:06:31,160 --> 00:06:34,400 Speaker 1: who's doing it the best then who. McDonald's is ahead 123 00:06:34,440 --> 00:06:36,240 Speaker 1: of the curve. You know in Europe some of their 124 00:06:36,279 --> 00:06:38,720 Speaker 1: markets already have this rolled out Kiosk rolled out in 125 00:06:38,839 --> 00:06:41,760 Speaker 1: all of their restaurants, so, um, that has enabled them. 126 00:06:41,760 --> 00:06:43,560 Speaker 1: They haven't really spoke too much about it because it's 127 00:06:43,560 --> 00:06:45,560 Speaker 1: a franchise and they don't want to give out their business. 128 00:06:45,600 --> 00:06:48,200 Speaker 1: But um, they have been able to cut back labor. 129 00:06:48,320 --> 00:06:50,600 Speaker 1: McDonald's is very careful not to say, look, we're gonna 130 00:06:50,680 --> 00:06:53,640 Speaker 1: cut jobs because that typically creates some blowback. And they're saying, 131 00:06:53,680 --> 00:06:55,640 Speaker 1: you know, we're going to create a different service environment. 132 00:06:55,640 --> 00:06:58,760 Speaker 1: We're gonna speaking of big, big, big names. A quick 133 00:06:58,760 --> 00:07:02,600 Speaker 1: final question you have about maybe thirty seconds. Uh, Starbucks 134 00:07:03,000 --> 00:07:05,279 Speaker 1: might be a very important company to watch in this regard. 135 00:07:05,600 --> 00:07:08,320 Speaker 1: Very So it's interesting because they were very supportive of 136 00:07:08,320 --> 00:07:11,480 Speaker 1: a fifteen dollar minimum wage. They're very they pay their 137 00:07:11,480 --> 00:07:13,720 Speaker 1: employees pretty well. Most people in the business want to 138 00:07:13,720 --> 00:07:17,400 Speaker 1: work at Starbucks. Um, but what's happened since they've raised 139 00:07:17,400 --> 00:07:20,800 Speaker 1: the minimum wage is that they've had employees complaining about 140 00:07:20,840 --> 00:07:23,280 Speaker 1: aggressive cutbacks of hours. And there's a petition out there 141 00:07:23,280 --> 00:07:25,840 Speaker 1: with over ten thousand votes, people saying, you're cutting my hours, 142 00:07:25,840 --> 00:07:27,960 Speaker 1: you raise my pay. It's it's a wash. What are 143 00:07:27,960 --> 00:07:30,440 Speaker 1: we doing? So it's a very good example of what's 144 00:07:30,440 --> 00:07:33,720 Speaker 1: going to happen in the business. Mike Haalen, Senior restaurant 145 00:07:33,960 --> 00:07:37,880 Speaker 1: analys for Bloomberg Intelligence. Bloomberg Intelligence, this is what it's 146 00:07:37,880 --> 00:07:41,400 Speaker 1: all about, unique real time research context on industries like this. 147 00:07:41,480 --> 00:07:43,480 Speaker 1: You've got to watch it on the Bloomberg and this 148 00:07:43,520 --> 00:07:48,560 Speaker 1: is Bloomberg. 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