1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Bramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:32,000 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. Uber, 7 00:00:32,360 --> 00:00:37,600 Speaker 1: the scandal ridden driving a ride sharing service, is uh 8 00:00:37,680 --> 00:00:43,720 Speaker 1: evidently reportedly the subject of two additional, formerly undisclosed investigations, 9 00:00:43,800 --> 00:00:47,120 Speaker 1: and here to talk about why this company has been 10 00:00:47,400 --> 00:00:51,239 Speaker 1: uniquely targeted by regulators and lawmakers. I want to bring 11 00:00:51,240 --> 00:00:53,800 Speaker 1: in Max Chafkin, who writes for Bloomberg Business Week and 12 00:00:53,880 --> 00:00:56,560 Speaker 1: joins us UH, to talk a little bit about this. So, Max, 13 00:00:56,840 --> 00:01:00,800 Speaker 1: you know, what is it about Uber that has made 14 00:01:00,800 --> 00:01:03,800 Speaker 1: it subject to so many investigations? Right? So, as you said, 15 00:01:03,840 --> 00:01:07,200 Speaker 1: we we've learned. My colleague Eric Newcomer reported earlier this 16 00:01:07,280 --> 00:01:10,360 Speaker 1: morning that first of all, there is an additional criminal 17 00:01:10,400 --> 00:01:14,080 Speaker 1: probe that's looking into Uber's alleged theft of trade secrets 18 00:01:14,080 --> 00:01:17,160 Speaker 1: from Google, and another one looking at price fixing. I 19 00:01:17,200 --> 00:01:18,920 Speaker 1: think the answer to the question I asked of of 20 00:01:18,959 --> 00:01:21,600 Speaker 1: sort of what was going on and and this is 21 00:01:21,640 --> 00:01:24,000 Speaker 1: in the piece, but the company had kind of a 22 00:01:24,040 --> 00:01:28,839 Speaker 1: culture of I guess you might say rule bending, uh 23 00:01:28,880 --> 00:01:31,520 Speaker 1: and and and some might call it legal innovation. And 24 00:01:31,560 --> 00:01:33,839 Speaker 1: I think that's that's a term that some people inside 25 00:01:33,840 --> 00:01:37,440 Speaker 1: of you Uber had used might call it cheating, right, yeah, 26 00:01:37,480 --> 00:01:39,679 Speaker 1: And that's and that's something I think we've seen before 27 00:01:39,680 --> 00:01:43,120 Speaker 1: in the financial services industry, where these financial services innovations 28 00:01:43,400 --> 00:01:46,840 Speaker 1: sometimes uh, you know, push into areas of you know, 29 00:01:46,880 --> 00:01:50,480 Speaker 1: breaking ethical rules or even criminality. Well, Max, I wont 30 00:01:50,520 --> 00:01:52,720 Speaker 1: if you get to tell us about the executive ranks 31 00:01:52,880 --> 00:01:57,080 Speaker 1: of Uber. Who's there to actually fix the company and 32 00:01:57,120 --> 00:02:03,320 Speaker 1: then justify its multibillion all the valuation so so uh 33 00:02:03,560 --> 00:02:07,880 Speaker 1: recently Travis Kalenik Uh this this the former CEO, a 34 00:02:07,880 --> 00:02:10,680 Speaker 1: guy who sort of most closely associated with the founding 35 00:02:10,680 --> 00:02:13,720 Speaker 1: of Uber. Step down. There's a new CEO, the former 36 00:02:13,919 --> 00:02:17,240 Speaker 1: Expedia CEO, Dera Coastra Shah. He hope hope on getting 37 00:02:17,240 --> 00:02:21,600 Speaker 1: that one right, um, but on the pronunciation. But he's 38 00:02:21,639 --> 00:02:24,919 Speaker 1: been basically doing a an apology tour and and sort 39 00:02:24,919 --> 00:02:27,200 Speaker 1: of going around from to to offer, from office to 40 00:02:27,240 --> 00:02:32,120 Speaker 1: office to office, trying to sort of turn the page 41 00:02:32,120 --> 00:02:34,559 Speaker 1: and say, this is not going to be a company 42 00:02:34,600 --> 00:02:38,280 Speaker 1: that sort of by default bends the rules. And we're 43 00:02:38,360 --> 00:02:41,600 Speaker 1: learning that he is looking into some of these sort 44 00:02:41,639 --> 00:02:44,680 Speaker 1: of you might call them counterintelligence programs. It appears that 45 00:02:45,000 --> 00:02:47,680 Speaker 1: Uber had kind of almost its own personal, sort of 46 00:02:47,840 --> 00:02:52,400 Speaker 1: private spy service that was run by the former General Council, 47 00:02:52,440 --> 00:02:54,680 Speaker 1: the former Chief Security officer. Right. So, just to get 48 00:02:54,680 --> 00:02:57,160 Speaker 1: a little bit more specific about what the allegations are, 49 00:02:57,440 --> 00:03:00,920 Speaker 1: we talked about their program called Hell that that's what 50 00:03:00,960 --> 00:03:06,560 Speaker 1: they named, that basically tracked other competing ridesharing services where 51 00:03:06,600 --> 00:03:09,800 Speaker 1: they were to allow Uber drivers to go compete with 52 00:03:09,840 --> 00:03:13,200 Speaker 1: them more directly. They also kind of cloaked themselves sometimes 53 00:03:13,240 --> 00:03:16,720 Speaker 1: Uber drivers and would arrive instead of some of the 54 00:03:16,800 --> 00:03:20,040 Speaker 1: other competing rides sharing services. These are among uh, some 55 00:03:20,160 --> 00:03:23,600 Speaker 1: of the services that they provided that are being targeted 56 00:03:23,600 --> 00:03:25,840 Speaker 1: by regulators. Yeah, I mean when you when you take 57 00:03:25,840 --> 00:03:28,400 Speaker 1: a step back, you brought up Hell there. There was 58 00:03:28,440 --> 00:03:32,000 Speaker 1: also a program, similar program in Australia that was designed 59 00:03:32,000 --> 00:03:35,560 Speaker 1: to it seems like spy on maybe you might say 60 00:03:35,680 --> 00:03:41,000 Speaker 1: UH an Asian uh a taxi service UM. Basically in 61 00:03:41,040 --> 00:03:44,840 Speaker 1: all sorts of ways, it appears that that engineers inside 62 00:03:44,840 --> 00:03:48,280 Speaker 1: of Uber kind of broke with norms as far as 63 00:03:48,320 --> 00:03:52,320 Speaker 1: privacy and and uh sort of uh, you know, data 64 00:03:52,360 --> 00:03:56,200 Speaker 1: securities concerns. So so for instance, they were routinely uh 65 00:03:56,640 --> 00:04:00,680 Speaker 1: calling cabs from from Lift, a competitor, and and basically 66 00:04:00,720 --> 00:04:04,000 Speaker 1: trying to hire those drivers. They were routinely scraping data 67 00:04:04,120 --> 00:04:07,760 Speaker 1: from other services, and and this this thing called gray Ball, 68 00:04:07,800 --> 00:04:10,480 Speaker 1: which is a subject of another investigation. They were sort 69 00:04:10,480 --> 00:04:14,960 Speaker 1: of routinely trying to identify police and law enforcement officers 70 00:04:15,320 --> 00:04:17,960 Speaker 1: and try to make it more difficult for those people 71 00:04:18,040 --> 00:04:22,320 Speaker 1: to use the app, basically giving law enforcement um fake 72 00:04:22,440 --> 00:04:25,200 Speaker 1: data allegedly. So it's a whole bunch of it's a 73 00:04:25,200 --> 00:04:26,960 Speaker 1: whole swirl of things. You start to add it up, 74 00:04:27,279 --> 00:04:30,440 Speaker 1: and and obviously it looks like a culture of uh 75 00:04:30,880 --> 00:04:34,359 Speaker 1: that that's problematics at least, you know, Max said, it 76 00:04:34,400 --> 00:04:38,400 Speaker 1: makes me maybe considered that you know, with a hefty valuation, Uh, 77 00:04:39,040 --> 00:04:42,520 Speaker 1: may be considered that How is that it justified when 78 00:04:42,560 --> 00:04:45,760 Speaker 1: you have competitors that may offer exactly the same kind 79 00:04:45,760 --> 00:04:50,120 Speaker 1: of service without these legal problems? I mean, what competitive 80 00:04:50,160 --> 00:04:51,920 Speaker 1: advantage do they have that they got a list of 81 00:04:51,960 --> 00:04:54,520 Speaker 1: clients and everyone has the app, but everyone's got the 82 00:04:54,520 --> 00:04:56,800 Speaker 1: other app. And they're the same clients. Yeah, And I 83 00:04:56,800 --> 00:05:00,400 Speaker 1: mean this this gets to a pretty significant issue for Uber, 84 00:05:00,440 --> 00:05:02,599 Speaker 1: which is, right now, they are trying to raise money, 85 00:05:03,120 --> 00:05:05,920 Speaker 1: raise a big boatload of money from soft Bank, including 86 00:05:06,360 --> 00:05:08,440 Speaker 1: some of this money is going to buy out existing 87 00:05:08,480 --> 00:05:11,680 Speaker 1: shareholders in an auction, and we don't know exactly what 88 00:05:11,720 --> 00:05:13,920 Speaker 1: the valuation is going to be. Is it going to 89 00:05:14,040 --> 00:05:17,440 Speaker 1: be you know, closer to to Uber sort of on 90 00:05:17,520 --> 00:05:20,160 Speaker 1: paper valuation around seventy billion, or is it going to 91 00:05:20,200 --> 00:05:22,599 Speaker 1: be more like fifty build billion or something like that. 92 00:05:22,920 --> 00:05:25,960 Speaker 1: And and and the fact is that I think I 93 00:05:25,960 --> 00:05:29,200 Speaker 1: think investors might might be asking questions about sort of 94 00:05:29,200 --> 00:05:32,520 Speaker 1: how brittle is Uber's business, how how how secure? Why 95 00:05:32,520 --> 00:05:34,760 Speaker 1: not invest in lift or why not invest in any 96 00:05:34,760 --> 00:05:37,200 Speaker 1: of the other rides sharing services? Because the thing is, 97 00:05:37,240 --> 00:05:39,479 Speaker 1: it's supposed to be asset light, right, So you don't 98 00:05:39,480 --> 00:05:41,960 Speaker 1: put all your capital into the automobiles. You let the 99 00:05:42,040 --> 00:05:45,240 Speaker 1: drivers assume a lot of the risk. And you want 100 00:05:45,240 --> 00:05:47,280 Speaker 1: a valuation of a tech company, Well, there are a 101 00:05:47,279 --> 00:05:49,560 Speaker 1: lot of other people that can figure that out, now, right. 102 00:05:49,640 --> 00:05:51,559 Speaker 1: I mean if you the thing is, if you believe 103 00:05:51,600 --> 00:05:54,080 Speaker 1: in the business, and you believe that that these companies 104 00:05:54,080 --> 00:05:56,880 Speaker 1: create value, you still acknowledge the Uber is much bigger 105 00:05:56,920 --> 00:05:59,520 Speaker 1: than any of these other companies. It has a bigger network, 106 00:05:59,640 --> 00:06:02,840 Speaker 1: it's it's a better known brand. Although Lift is competitive 107 00:06:02,839 --> 00:06:06,400 Speaker 1: in certain cities, Uber is kind of the biggest, UH 108 00:06:06,560 --> 00:06:08,680 Speaker 1: of these apps in most of the most of the 109 00:06:08,680 --> 00:06:12,520 Speaker 1: cities where rides sharing companies play. At what point, though, Max, 110 00:06:12,880 --> 00:06:16,520 Speaker 1: does this start to snowball where you have regulators targeting 111 00:06:16,560 --> 00:06:21,240 Speaker 1: the business both because of some potential infractions as well 112 00:06:21,279 --> 00:06:27,719 Speaker 1: as mounting opposition from taxi services that have been long standing. Well, 113 00:06:27,880 --> 00:06:29,960 Speaker 1: it is starting to snowball. I mean what we saw 114 00:06:30,000 --> 00:06:33,520 Speaker 1: in London where where regulators in London who had kind 115 00:06:33,520 --> 00:06:36,360 Speaker 1: of given Uber the okay, sort of we're reading this 116 00:06:36,440 --> 00:06:38,599 Speaker 1: news that was happening in the US about this program 117 00:06:38,640 --> 00:06:41,760 Speaker 1: gray Ball, which I mentioned earlier, and said hey, wait 118 00:06:41,800 --> 00:06:44,120 Speaker 1: a minute, we're not okay with this, and they basically 119 00:06:44,240 --> 00:06:46,480 Speaker 1: announced that they were taking Uber's license away. And now 120 00:06:46,480 --> 00:06:49,680 Speaker 1: they've sort of reopened negotiations. They're trying to negotiate a 121 00:06:49,720 --> 00:06:52,320 Speaker 1: new deal with Uber. Uh. There's there there rumblings that 122 00:06:52,400 --> 00:06:54,400 Speaker 1: the same thing could happen in Brazil. And I think 123 00:06:54,440 --> 00:06:57,640 Speaker 1: it's important to remember and and Uber was very good 124 00:06:57,680 --> 00:07:00,280 Speaker 1: at sort of playing local politics, like going from city 125 00:07:00,279 --> 00:07:03,159 Speaker 1: to city figuring out how to get their service legal 126 00:07:03,320 --> 00:07:06,239 Speaker 1: or basically pushing and forcing regulators hands to make it legal. 127 00:07:06,520 --> 00:07:09,159 Speaker 1: But each of these cities have very specific local issues, 128 00:07:09,400 --> 00:07:11,600 Speaker 1: and it's not like it's a done deal to any 129 00:07:11,680 --> 00:07:14,480 Speaker 1: any mayor anywhere around the world. If if, if he 130 00:07:14,560 --> 00:07:16,720 Speaker 1: or she decides it's popular to go after Uber can 131 00:07:16,760 --> 00:07:19,040 Speaker 1: do that, and there's not much Uber can do, and 132 00:07:19,080 --> 00:07:23,440 Speaker 1: it's it could potentially, especially if criminal inquiries lawsuits continue, 133 00:07:23,480 --> 00:07:26,320 Speaker 1: amount this won't go away. It's not like Uber is 134 00:07:26,400 --> 00:07:29,800 Speaker 1: legal everywhere and it's gonna be legal everywhere forever. Just quickly, 135 00:07:29,840 --> 00:07:31,600 Speaker 1: because I know this is slightly off topic, but you 136 00:07:31,640 --> 00:07:34,080 Speaker 1: also have been writing a lot about Facebook and legal issues. 137 00:07:34,080 --> 00:07:37,120 Speaker 1: Have you noticed that the technology industry now faces the 138 00:07:37,240 --> 00:07:40,120 Speaker 1: legal same legal issues that maybe the non tech world 139 00:07:40,120 --> 00:07:43,000 Speaker 1: had faced, you know, decades earlier. Yeah. Absolutely, And I 140 00:07:43,080 --> 00:07:45,840 Speaker 1: think there is an interesting sort of Facebook connection here. 141 00:07:45,880 --> 00:07:50,240 Speaker 1: The the Uber chief security officer, Joe Sullivan, was at Facebook, 142 00:07:50,480 --> 00:07:53,960 Speaker 1: and you wonder how common are these kind of internal 143 00:07:54,000 --> 00:07:57,200 Speaker 1: spy agencies. I mean, Uber had a lot of consumer data, 144 00:07:57,240 --> 00:07:59,400 Speaker 1: but it is not the only company in Silicon Valley 145 00:07:59,600 --> 00:08:03,120 Speaker 1: with of data that's ultra competitive that has been pushing 146 00:08:03,120 --> 00:08:05,200 Speaker 1: in all sorts of ways, and I think we have 147 00:08:05,280 --> 00:08:07,960 Speaker 1: to look at this and ask, you know, how common 148 00:08:08,000 --> 00:08:11,360 Speaker 1: were these practices, you know, industry wide, And I don't 149 00:08:11,360 --> 00:08:13,200 Speaker 1: think we know the answer yet. All right, well, we're 150 00:08:13,200 --> 00:08:14,640 Speaker 1: gonna look to you for the answer. I think you 151 00:08:14,720 --> 00:08:16,920 Speaker 1: got almost you know, at least a couple next stories 152 00:08:16,920 --> 00:08:19,040 Speaker 1: out of that one. Thanks very much for joining us. 153 00:08:19,280 --> 00:08:22,760 Speaker 1: Max Chafkin is a columnist for a Bloomberg Business Week. 154 00:08:22,760 --> 00:08:26,040 Speaker 1: A writer for a Bloomberg giving us some details about 155 00:08:26,120 --> 00:08:42,200 Speaker 1: what's going on with Uber and those additional criminal investigations. Well, 156 00:08:42,240 --> 00:08:44,400 Speaker 1: there is a one hundred and eight year old company 157 00:08:44,760 --> 00:08:47,640 Speaker 1: that a lot of people in America have never heard of. 158 00:08:47,720 --> 00:08:50,880 Speaker 1: It is now called Mo Mochi ice Cream, and the 159 00:08:50,960 --> 00:08:54,040 Speaker 1: chief executive officer joins us now, Craig Burger. Thank you 160 00:08:54,080 --> 00:08:57,600 Speaker 1: so much for joining us. You became CEO about two 161 00:08:57,600 --> 00:09:01,600 Speaker 1: months ago and had previously been uh, the CFO of 162 00:09:01,640 --> 00:09:05,160 Speaker 1: the company. What excited you about the opportunity of leading 163 00:09:05,320 --> 00:09:09,000 Speaker 1: this particular company. Yeah, I think the fact that we're 164 00:09:09,040 --> 00:09:13,000 Speaker 1: innovation in the snacking category is everything I needed to 165 00:09:13,080 --> 00:09:16,120 Speaker 1: hear and see. So the company has done a phenomenal 166 00:09:16,240 --> 00:09:21,280 Speaker 1: job taking a very old item like mochi ice cream, 167 00:09:21,600 --> 00:09:24,680 Speaker 1: and have really targeted the millennial consumer to bring it 168 00:09:24,720 --> 00:09:28,240 Speaker 1: to the masses. So we're really changing the snacking world 169 00:09:28,520 --> 00:09:30,920 Speaker 1: one mochi ball at a time. All right, So can 170 00:09:30,960 --> 00:09:34,120 Speaker 1: you tell us what exactly is a moochi? Many people 171 00:09:34,160 --> 00:09:36,840 Speaker 1: may know it as a Japanese dessert. You're calling it 172 00:09:36,880 --> 00:09:39,560 Speaker 1: a snack the form fact. I'm sorry I have to 173 00:09:39,640 --> 00:09:42,559 Speaker 1: use this on my son tonight. I'm changing the world 174 00:09:42,679 --> 00:09:44,440 Speaker 1: one mochi ball at a time. You know, when they 175 00:09:44,440 --> 00:09:46,640 Speaker 1: start giving me flack about anything gone so well, they're 176 00:09:46,640 --> 00:09:48,040 Speaker 1: going to give you a cooler of it later on, 177 00:09:48,160 --> 00:09:51,040 Speaker 1: of course. And I want to just tell people how 178 00:09:51,040 --> 00:09:53,440 Speaker 1: it's made and and a little bit of the history 179 00:09:53,440 --> 00:09:56,000 Speaker 1: of the company, because if you're from Los Angeles at all, 180 00:09:56,200 --> 00:09:59,760 Speaker 1: you're very familiar with the heritage of this company. Yeah, 181 00:09:59,800 --> 00:10:01,800 Speaker 1: let me start. So, the company is a hundred and 182 00:10:01,880 --> 00:10:04,959 Speaker 1: eight years old, uh. And it was a confectionery to 183 00:10:05,040 --> 00:10:11,960 Speaker 1: start so, dealing in primarily Japanese bakery items. And the 184 00:10:12,000 --> 00:10:16,800 Speaker 1: founders invented basically mochi ice cream, which is a premium 185 00:10:16,840 --> 00:10:20,839 Speaker 1: ice cream surrounded by sweet rice stough uh. And that 186 00:10:20,880 --> 00:10:25,680 Speaker 1: brand was under the Mikawaya name and it had primarily 187 00:10:25,720 --> 00:10:30,760 Speaker 1: traditional Japanese flavors, So people who tried the product loved it, 188 00:10:31,120 --> 00:10:34,120 Speaker 1: but the awareness was very small. So then in two 189 00:10:34,200 --> 00:10:39,080 Speaker 1: thousand sixteen, Century Park Capital private equity out of Los 190 00:10:39,080 --> 00:10:42,560 Speaker 1: Angeles purchased the company, and they had this vision of 191 00:10:42,600 --> 00:10:46,520 Speaker 1: taking a very ethnic snack and really taking it to 192 00:10:46,559 --> 00:10:50,840 Speaker 1: the masses by creating a brand new brand, the Mimo 193 00:10:51,120 --> 00:10:54,520 Speaker 1: Mochi ice Cream brand, and coming out with more traditional 194 00:10:54,559 --> 00:10:59,360 Speaker 1: flavors that we know, like strawberry chocolate, cookies and cream, 195 00:10:59,400 --> 00:11:03,120 Speaker 1: and really targeting the millennial consumer something that had never 196 00:11:03,200 --> 00:11:06,520 Speaker 1: happened before. You mean, rather than red bean paste or 197 00:11:07,240 --> 00:11:10,480 Speaker 1: green tea mochi. Uh, they want to get more American. 198 00:11:10,480 --> 00:11:14,160 Speaker 1: I'm wondering, where is the market for mochi ice cream. 199 00:11:14,200 --> 00:11:17,800 Speaker 1: Is it simply in the big cities or is there 200 00:11:17,840 --> 00:11:22,560 Speaker 1: greater acceptance of more quote unquote ethnic foods in other 201 00:11:22,679 --> 00:11:25,440 Speaker 1: places outside of the city's okay, great question. Let me 202 00:11:25,440 --> 00:11:28,720 Speaker 1: start out with the market itself. So Mochi ice cream 203 00:11:28,800 --> 00:11:32,240 Speaker 1: falls under the frozen novelty category, which is about a 204 00:11:32,280 --> 00:11:36,520 Speaker 1: three billion dollar category, and that category has been flatted 205 00:11:36,679 --> 00:11:40,040 Speaker 1: down slightly over the last couple of years. Mochi ice 206 00:11:40,080 --> 00:11:43,360 Speaker 1: cream is part of that category. Mochi ice cream is 207 00:11:43,679 --> 00:11:47,120 Speaker 1: the category within there that it has the most growth 208 00:11:47,760 --> 00:11:51,520 Speaker 1: over the last year or two, primarily driven by Mymo 209 00:11:51,559 --> 00:11:56,280 Speaker 1: Mochi ice Cream. It's definitely a coastal brand. We started 210 00:11:56,280 --> 00:11:59,120 Speaker 1: out in l A and really in the last seven 211 00:11:59,160 --> 00:12:02,800 Speaker 1: months have blown up My Mo Mochi ice Cream nationwide. 212 00:12:03,240 --> 00:12:07,760 Speaker 1: But in l A, San Francisco, Seattle, and now New York, 213 00:12:07,960 --> 00:12:11,640 Speaker 1: we're really blowing it up. Craig, what's the biggest challenge 214 00:12:11,720 --> 00:12:15,640 Speaker 1: for you to expand awareness of this brand? I mean, 215 00:12:15,640 --> 00:12:19,080 Speaker 1: what have you been most surprised at with respect to 216 00:12:19,080 --> 00:12:22,320 Speaker 1: the difficulty. Well, it's pretty interesting because most people you 217 00:12:22,400 --> 00:12:25,120 Speaker 1: talk to have never heard of Mochi ice cream. So 218 00:12:25,160 --> 00:12:27,559 Speaker 1: the first thing you try and do is have them 219 00:12:27,880 --> 00:12:31,000 Speaker 1: try it. So you know, We've hired a marketing team, 220 00:12:31,360 --> 00:12:34,840 Speaker 1: We've got a strategy in place to really increase the 221 00:12:34,920 --> 00:12:37,840 Speaker 1: trial and awareness of the product, and part of that 222 00:12:37,960 --> 00:12:40,880 Speaker 1: is being done through what we call the Mochi Bar concept. 223 00:12:41,200 --> 00:12:44,640 Speaker 1: And we're really we're the first ice cream company to 224 00:12:44,760 --> 00:12:48,640 Speaker 1: break away from the ice cream freezer in the retailers 225 00:12:48,720 --> 00:12:52,200 Speaker 1: and go into the perimeter of the food stores with 226 00:12:52,280 --> 00:12:56,080 Speaker 1: a self serve Mochi bar, and that's a paid sampling 227 00:12:56,120 --> 00:12:59,920 Speaker 1: event because consumers are paying anywhere from a dollar fifty 228 00:13:00,160 --> 00:13:03,880 Speaker 1: two dollars for Amachi ball and trying it on the spot. 229 00:13:04,240 --> 00:13:09,319 Speaker 1: And it's usually the normal reaction. The first time they 230 00:13:09,360 --> 00:13:12,680 Speaker 1: bite into it, it's wow, that's kind of weird, and 231 00:13:12,720 --> 00:13:15,200 Speaker 1: then the second bite is, oh my god, I love 232 00:13:15,240 --> 00:13:18,920 Speaker 1: this stuff. So it's uh, it's a great thing to see, 233 00:13:19,120 --> 00:13:22,760 Speaker 1: you know, it's something that is really uh, taking the 234 00:13:22,880 --> 00:13:28,280 Speaker 1: stores by surprise and building overnight. Was it a conscious 235 00:13:28,280 --> 00:13:31,240 Speaker 1: effort to turn it into a snack as opposed to 236 00:13:31,280 --> 00:13:34,280 Speaker 1: a dessert and therefore the smaller form factor. Yes, so 237 00:13:34,320 --> 00:13:36,760 Speaker 1: we see it as a snack. You know, millennials snack 238 00:13:36,800 --> 00:13:39,319 Speaker 1: at least four times a day. Uh, this is a 239 00:13:39,320 --> 00:13:44,359 Speaker 1: perfect product. And ten calories per hundred and ten calories. 240 00:13:44,440 --> 00:13:49,840 Speaker 1: It's handheld, it's portable, it's grabbing go. It fits their lifestyle. 241 00:13:50,360 --> 00:13:53,600 Speaker 1: You know, we have fifteen or so flavors. What does 242 00:13:53,640 --> 00:13:57,360 Speaker 1: it cost? Uh? You know, it comes by the ball. 243 00:13:57,400 --> 00:13:59,600 Speaker 1: If you buy an e Moachi bar would be anywhere 244 00:13:59,600 --> 00:14:02,240 Speaker 1: from all fifty to two dollars a ball in a 245 00:14:02,320 --> 00:14:06,080 Speaker 1: six pack. The retail is about five or dollar a ball. 246 00:14:06,240 --> 00:14:09,160 Speaker 1: I love how targeted millennials are. They like snacks, not 247 00:14:09,280 --> 00:14:11,560 Speaker 1: desserts because deserts are too fattening, and they like it 248 00:14:11,679 --> 00:14:15,960 Speaker 1: small and they like it quick. Who right there, you go, Well, 249 00:14:16,120 --> 00:14:18,400 Speaker 1: you've definitely defined the market, and I think you're gonna 250 00:14:18,440 --> 00:14:20,400 Speaker 1: start eating some of these moments. I must say that 251 00:14:20,960 --> 00:14:23,360 Speaker 1: we gotta leave it there. Thanks very much, Craig Burger. 252 00:14:23,400 --> 00:14:39,320 Speaker 1: He is the chief executive of Momochi ice Cream. NAFTA 253 00:14:39,640 --> 00:14:43,320 Speaker 1: North American Free Trade Agreement five hundred and twenty five 254 00:14:43,360 --> 00:14:45,640 Speaker 1: billion dollars. That's a total amount of trade between the 255 00:14:45,720 --> 00:14:49,840 Speaker 1: United States and Mexico. Mexico is the number three trading 256 00:14:49,880 --> 00:14:54,200 Speaker 1: partner of the US, right after Canada, also a signatory 257 00:14:54,280 --> 00:14:57,360 Speaker 1: to NAFTA. Here to tell us about the renegotiation of NAFTA. 258 00:14:57,360 --> 00:15:00,000 Speaker 1: There's our own White House correspondent. We've got Jennifer Jacobs 259 00:15:00,200 --> 00:15:02,920 Speaker 1: joining us from Washington, d C. Jennifer, maybe just outline 260 00:15:02,920 --> 00:15:05,960 Speaker 1: exactly what is scheduled to happen today, who's going to 261 00:15:06,080 --> 00:15:10,160 Speaker 1: be there and what do they really aim to accomplish. Uh. First, 262 00:15:10,240 --> 00:15:14,360 Speaker 1: it's Jennifer Epstein of on our White House team. Just 263 00:15:14,440 --> 00:15:17,840 Speaker 1: wanted to make sure that's clear to that people aren't confused. 264 00:15:18,280 --> 00:15:22,560 Speaker 1: Uh if they know our voices. Um so Uh. Prime 265 00:15:22,600 --> 00:15:25,280 Speaker 1: Minister Trudeau is coming to the White House a little 266 00:15:25,320 --> 00:15:27,960 Speaker 1: bit later today to meet with President Trump. It's their 267 00:15:28,040 --> 00:15:31,640 Speaker 1: fourth meeting since President Trump took office at the beginning 268 00:15:31,640 --> 00:15:34,840 Speaker 1: of the year. Um. And and this is the same 269 00:15:34,880 --> 00:15:37,600 Speaker 1: time that there are a whole bunch of uh you 270 00:15:37,600 --> 00:15:39,600 Speaker 1: know that that that we're in this fourth round of 271 00:15:39,600 --> 00:15:43,360 Speaker 1: trade negotiation talks. Uh, and that's happening here in d 272 00:15:43,480 --> 00:15:48,560 Speaker 1: C as well. Uh. You know, we're just anticipating in 273 00:15:48,560 --> 00:15:51,920 Speaker 1: the US to continue to take a pretty hard line 274 00:15:51,960 --> 00:15:54,800 Speaker 1: on some things that they that that they're kind of 275 00:15:54,840 --> 00:15:58,360 Speaker 1: that the U. S officials kind of expect Mexico and 276 00:15:58,400 --> 00:16:04,760 Speaker 1: Canada to be relucked into, including substantially raising the requirement 277 00:16:05,120 --> 00:16:09,200 Speaker 1: of the requirements for rules of origin for vehicles. Um, 278 00:16:09,240 --> 00:16:12,760 Speaker 1: you know what share has to be uh of the 279 00:16:12,840 --> 00:16:14,440 Speaker 1: of the vehicle has to be built built in the 280 00:16:14,520 --> 00:16:18,480 Speaker 1: United States. Jennifer and the rest of NAFTA. Jennifer, I'm 281 00:16:18,560 --> 00:16:25,320 Speaker 1: struck by President Trump versus Congress, versus his diplomats. Is 282 00:16:25,400 --> 00:16:30,560 Speaker 1: President Trump carrying the weight of a unified group of 283 00:16:30,680 --> 00:16:36,440 Speaker 1: politicians and policymakers as he renegotiates NAFTA or is he 284 00:16:37,120 --> 00:16:40,800 Speaker 1: increasingly isolated in some of his demands? You know, I 285 00:16:40,840 --> 00:16:43,080 Speaker 1: think this is a situation where in order that it's 286 00:16:43,120 --> 00:16:47,360 Speaker 1: increasingly isolated, I think it's been isolated all along. That 287 00:16:47,360 --> 00:16:51,880 Speaker 1: that while there are certainly a big populist tervor uh 288 00:16:52,000 --> 00:16:54,720 Speaker 1: to pull out of NAFTA, or that NAFTA the bad 289 00:16:54,760 --> 00:16:58,600 Speaker 1: deal and it must be renegotiated, that there are so 290 00:16:58,640 --> 00:17:02,920 Speaker 1: many Uh, there's so many US lawmakers who are who 291 00:17:03,560 --> 00:17:07,000 Speaker 1: really would not do not actually support going all the 292 00:17:07,040 --> 00:17:10,440 Speaker 1: way and getting out of NAFTA. You know, for this president, 293 00:17:10,520 --> 00:17:13,639 Speaker 1: seems like threats are not just threats, but are It 294 00:17:13,680 --> 00:17:15,600 Speaker 1: depends on what it is, of course, you know, if 295 00:17:15,600 --> 00:17:18,879 Speaker 1: we're talking about nukes, who knows. But uh, you know, 296 00:17:19,160 --> 00:17:22,280 Speaker 1: threats on something like this are threats that he seems 297 00:17:22,320 --> 00:17:25,560 Speaker 1: poised to follow through on, just the way he has 298 00:17:25,640 --> 00:17:29,840 Speaker 1: initiated the process of pulling out of the Paris Climate Agreement. Uh, 299 00:17:30,000 --> 00:17:32,960 Speaker 1: just as you know we are anticipating some kind of 300 00:17:33,440 --> 00:17:38,640 Speaker 1: reversal from the um Iran deal. Uh. These are things 301 00:17:38,680 --> 00:17:42,280 Speaker 1: where this president is willing to negotiate, was willing to 302 00:17:42,359 --> 00:17:46,680 Speaker 1: threaten uh in hopes of negotiating. Well, but what ends 303 00:17:46,720 --> 00:17:49,160 Speaker 1: up happening is that he just ends up pulling out 304 00:17:49,200 --> 00:17:53,840 Speaker 1: all altogether and just given up on these things, Jennifer Epstein. Uh. 305 00:17:53,880 --> 00:17:56,960 Speaker 1: And I also I apologize because of course I know you, 306 00:17:57,080 --> 00:17:58,960 Speaker 1: and I just want to mention also that people can 307 00:17:59,040 --> 00:18:02,679 Speaker 1: follow you on Twitter or your twit Twitter handle is 308 00:18:02,880 --> 00:18:06,280 Speaker 1: at gen x j E N E P s. And 309 00:18:06,600 --> 00:18:11,320 Speaker 1: as someone who is certainly covering historic presidency uh and 310 00:18:11,400 --> 00:18:14,240 Speaker 1: has a background in history with your degree from a Princeton, 311 00:18:15,160 --> 00:18:17,080 Speaker 1: can you just sort of step back for a moment 312 00:18:17,119 --> 00:18:20,080 Speaker 1: and tell us what do you what kind of reactions 313 00:18:20,160 --> 00:18:23,679 Speaker 1: or what conversations do you have with other people, uh, 314 00:18:23,720 --> 00:18:27,240 Speaker 1: and their reaction to this effort to renegotiate NAFTA, What 315 00:18:27,280 --> 00:18:30,360 Speaker 1: did they tell you? How did they react? Well? Thanks, Pim, 316 00:18:30,400 --> 00:18:32,800 Speaker 1: and don't don't worry about it. It's fine. It happens 317 00:18:32,800 --> 00:18:34,920 Speaker 1: all the time in both ways with us. We get 318 00:18:34,920 --> 00:18:38,800 Speaker 1: each other's emails all the time. UM. So I think 319 00:18:38,840 --> 00:18:41,560 Speaker 1: that that in the context of this, this is pretty unusual. 320 00:18:41,640 --> 00:18:44,320 Speaker 1: You know, this is the president who seems to be, 321 00:18:45,440 --> 00:18:48,280 Speaker 1: you know, at once attempting to fulfill some of its 322 00:18:48,320 --> 00:18:51,159 Speaker 1: campaign problemises, which is something that presidents trying to do 323 00:18:51,240 --> 00:18:54,960 Speaker 1: and oftentimes you know, get stopped up on either because 324 00:18:55,080 --> 00:18:57,639 Speaker 1: once they get into office they realize, you know, just 325 00:18:57,680 --> 00:19:00,119 Speaker 1: how untendable something is, or they just can't get the 326 00:19:00,160 --> 00:19:02,960 Speaker 1: support from Congress something like this. The President seems to 327 00:19:02,960 --> 00:19:04,920 Speaker 1: be ignoring all of that and just trying to move 328 00:19:04,960 --> 00:19:09,600 Speaker 1: ahead in his own way without uh and necessarily getting 329 00:19:09,640 --> 00:19:13,400 Speaker 1: anybody else on board. Uh. And that just this kind 330 00:19:13,440 --> 00:19:17,040 Speaker 1: of uh, you know, indicative of his style and his 331 00:19:17,880 --> 00:19:21,119 Speaker 1: desire to be a bull in the china shop. You know, 332 00:19:21,119 --> 00:19:23,479 Speaker 1: I'm struck by the fact that the US Chamber of 333 00:19:23,520 --> 00:19:28,600 Speaker 1: Commerce Chief executive Officer Thomas Donohue was speaking in Mexico 334 00:19:28,720 --> 00:19:32,320 Speaker 1: City yesterday and said that he would fight quote like 335 00:19:32,480 --> 00:19:36,320 Speaker 1: hell to defend NAFTA if Trump tries to pull out. 336 00:19:37,240 --> 00:19:42,919 Speaker 1: I'm wondering what could be the fallout if President Trump 337 00:19:42,960 --> 00:19:47,320 Speaker 1: decides to single handedly pull out. Well, you know, it 338 00:19:47,359 --> 00:19:50,119 Speaker 1: would obviously, uh, you know, turn the ire of a 339 00:19:50,119 --> 00:19:52,399 Speaker 1: whole lot of members of Chamber of Commerce, of the 340 00:19:52,680 --> 00:19:56,160 Speaker 1: Chamber of Commerce, which is you know, the hugest uh 341 00:19:56,280 --> 00:19:59,440 Speaker 1: business lobby in the country. That all that that you 342 00:19:59,480 --> 00:20:03,600 Speaker 1: would send only have a president who's still despite having 343 00:20:03,640 --> 00:20:08,679 Speaker 1: dissolved his various councils uh seems to you know, rely 344 00:20:08,840 --> 00:20:11,360 Speaker 1: on that kind of support and the and the support 345 00:20:11,400 --> 00:20:16,119 Speaker 1: of the establishment mainline Republicans dwindling as they may be. 346 00:20:17,280 --> 00:20:19,399 Speaker 1: That if if they can't even rely on him to 347 00:20:19,600 --> 00:20:22,560 Speaker 1: kind of support their business interests, uh, you know, why 348 00:20:22,600 --> 00:20:25,480 Speaker 1: should they be supporting him at all? For Epstein, thank 349 00:20:25,480 --> 00:20:27,879 Speaker 1: you so much for joining us. Jennifer Epstein covers the 350 00:20:27,920 --> 00:20:31,520 Speaker 1: White House for us here at Bloomberg News and NAFTA. 351 00:20:31,520 --> 00:20:36,200 Speaker 1: Talks are going on today in Washington between President Trump 352 00:20:37,000 --> 00:20:42,600 Speaker 1: and the head of Canada. Thanks for listening to the 353 00:20:42,600 --> 00:20:45,720 Speaker 1: Bloomberg P and L podcast. You can subscribe and listen 354 00:20:45,760 --> 00:20:49,920 Speaker 1: to interviews at Apple Podcasts, SoundCloud, or whatever podcast platform 355 00:20:49,960 --> 00:20:53,880 Speaker 1: you prefer. I'm pim Fox. I'm on Twitter at pim Fox. 356 00:20:54,200 --> 00:20:57,680 Speaker 1: I'm on Twitter at Lisa abramowits one before the podcast. 357 00:20:57,720 --> 00:21:00,320 Speaker 1: You can always catch us worldwide on Bloomberg Radio.