1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penl Podcast. I'm Paul swing you 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa brahma Witz. Each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:23,840 Speaker 1: at Bloomberg dot com. We'll trade tensions between the U 8 00:00:23,920 --> 00:00:26,840 Speaker 1: S and China continue to escalate. The U S Commerce 9 00:00:26,920 --> 00:00:30,800 Speaker 1: Department announside it has placed China's largest telecom equipment company 10 00:00:30,840 --> 00:00:34,440 Speaker 1: on the Entity List, which denies US suppliers from selling 11 00:00:34,479 --> 00:00:37,120 Speaker 1: to Whahwei without a license. To get a sense of 12 00:00:37,159 --> 00:00:39,239 Speaker 1: what this does mean, not just for Whahwei, but for 13 00:00:39,280 --> 00:00:42,120 Speaker 1: the trade discussion between the US and China, we go 14 00:00:42,200 --> 00:00:46,239 Speaker 1: to Meredith Sumter, Meredith's head of research and strategy and 15 00:00:46,280 --> 00:00:49,760 Speaker 1: operations for the Eurasia Group, joining us in Washington, d C. Meredith, 16 00:00:49,760 --> 00:00:52,120 Speaker 1: thank you so much for joining us. Do you think 17 00:00:52,159 --> 00:00:55,400 Speaker 1: this band, which seems to be pretty serious, will actually 18 00:00:55,440 --> 00:01:00,240 Speaker 1: be activated? That's the critical question here, Paul, and what 19 00:01:00,240 --> 00:01:02,920 Speaker 1: we're gonna be watching for moving forward is whether or 20 00:01:02,960 --> 00:01:06,960 Speaker 1: not the US enforces a blanket VAN or whether it 21 00:01:07,080 --> 00:01:12,840 Speaker 1: chooses to instead issue licenses to most US in foreign suppliers. Uh. 22 00:01:12,920 --> 00:01:16,680 Speaker 1: The actual notice did come forth and say that a 23 00:01:16,840 --> 00:01:19,760 Speaker 1: license would be required and issued by the b I S, 24 00:01:19,800 --> 00:01:23,560 Speaker 1: but it all comes down to implementation from here. So, Meredith, 25 00:01:23,840 --> 00:01:27,480 Speaker 1: I'm struggling to understand the market reaction today because you 26 00:01:27,560 --> 00:01:30,040 Speaker 1: are seeing the NASDAK up one point three percent. There 27 00:01:30,080 --> 00:01:32,320 Speaker 1: seems to be a very risk on feel But it 28 00:01:32,400 --> 00:01:35,920 Speaker 1: seems like President Trump's issues with some of these big 29 00:01:36,000 --> 00:01:39,800 Speaker 1: technology companies out of China, this is a major escalation. 30 00:01:39,959 --> 00:01:43,639 Speaker 1: Why is it not being viewed that way? I couldn't 31 00:01:43,680 --> 00:01:45,960 Speaker 1: agree more, Lisa, and in fact this morning. So so 32 00:01:46,040 --> 00:01:48,760 Speaker 1: the notice came out last night, and at your AGEA group, 33 00:01:48,760 --> 00:01:51,280 Speaker 1: we've been working overnight to pull together own thoughts and 34 00:01:51,360 --> 00:01:54,400 Speaker 1: views as to how grave this really is not just 35 00:01:54,560 --> 00:01:58,520 Speaker 1: for the US relationship with China more broadly on technology 36 00:01:58,600 --> 00:02:01,600 Speaker 1: issues and on Huawei and five G, but also for 37 00:02:02,120 --> 00:02:07,760 Speaker 1: the trade negotiations that are ongoing. Even before last night's notice, Lisa, 38 00:02:08,360 --> 00:02:11,560 Speaker 1: we had drawn down our call of prospects for US 39 00:02:11,680 --> 00:02:14,320 Speaker 1: China trade deal by the G twenty. Of course, this 40 00:02:14,440 --> 00:02:17,320 Speaker 1: is when Presidents Trump and she are set to meet. 41 00:02:17,840 --> 00:02:21,000 Speaker 1: We dropped our call from a six probability to just 42 00:02:21,200 --> 00:02:24,919 Speaker 1: a probability. Now you add on top of this the 43 00:02:25,000 --> 00:02:28,079 Speaker 1: latest solvo against Kahwei, and we find ourselves in a 44 00:02:28,240 --> 00:02:32,959 Speaker 1: very serious situation. Indeed, Yeah, it's interesting, Meredith that that's 45 00:02:33,040 --> 00:02:36,600 Speaker 1: a significant reduction um. And again I would historically that 46 00:02:36,600 --> 00:02:38,440 Speaker 1: would have had a very negative impact on the market, 47 00:02:38,480 --> 00:02:40,720 Speaker 1: but as Lisa noted, the market seem to be shrugging 48 00:02:40,760 --> 00:02:44,280 Speaker 1: it off. I wonder what the impact will be on 49 00:02:44,639 --> 00:02:47,720 Speaker 1: China as it thinks about how it wants to react. 50 00:02:47,840 --> 00:02:50,400 Speaker 1: How do you think China will react to something like this. 51 00:02:53,080 --> 00:02:55,799 Speaker 1: We need to watch closely China's moves over the next 52 00:02:55,880 --> 00:02:58,120 Speaker 1: day or two. It's been very quiet out of Beijing, 53 00:02:58,160 --> 00:03:00,840 Speaker 1: and I think probably this is the sort of shock 54 00:03:01,520 --> 00:03:05,320 Speaker 1: um but also efforts on the part of Chinese leaders 55 00:03:05,360 --> 00:03:09,280 Speaker 1: to figure out how should they respond both to this 56 00:03:09,440 --> 00:03:12,840 Speaker 1: latest salvo against Huafwei, but also what does it mean 57 00:03:12,960 --> 00:03:17,000 Speaker 1: for their broader response to US. China ties. This is 58 00:03:17,040 --> 00:03:20,400 Speaker 1: all happening at a time fallen Lisa, when we're watching 59 00:03:20,840 --> 00:03:24,720 Speaker 1: a nationalist sentiment in China which appears to be hardening. 60 00:03:25,280 --> 00:03:29,000 Speaker 1: For the longest time, Beijing has taken a very moderated 61 00:03:29,120 --> 00:03:35,440 Speaker 1: tone when responding to US pushing against Chinese industrial practices 62 00:03:35,480 --> 00:03:38,600 Speaker 1: and policies, and of course with the escalation of tariffs, 63 00:03:39,200 --> 00:03:41,720 Speaker 1: that may be changing. And again what it comes down 64 00:03:41,760 --> 00:03:43,560 Speaker 1: to is, first and foremost, Beijing is going to be 65 00:03:43,640 --> 00:03:47,720 Speaker 1: looking to understand how lenient or how hard rather will 66 00:03:47,760 --> 00:03:54,320 Speaker 1: the Trump administration be in executing um UH the approving 67 00:03:54,440 --> 00:03:58,760 Speaker 1: licenses or not for companies suppliers to be able to 68 00:03:58,840 --> 00:04:00,800 Speaker 1: continue to work for what? Right now? Why is this 69 00:04:00,920 --> 00:04:07,880 Speaker 1: important to Beijing? Huawei is its most important, biggest technology company. 70 00:04:08,000 --> 00:04:11,840 Speaker 1: It is a global champion in leader UH, and if 71 00:04:12,080 --> 00:04:16,440 Speaker 1: fully implemented, the entity list would immediately deny Huahwei access 72 00:04:16,560 --> 00:04:20,159 Speaker 1: to critical hardware and software suppliers here in the US 73 00:04:20,240 --> 00:04:23,839 Speaker 1: that it uses in this global mobile infrastructure and handset businesses. 74 00:04:24,279 --> 00:04:28,560 Speaker 1: This could virtually hit all of Huawei's products, high end smartphones, 75 00:04:28,640 --> 00:04:31,840 Speaker 1: mobile infrastructure, data centers, and cloud services. It's going to 76 00:04:31,920 --> 00:04:35,920 Speaker 1: have an immediate global impact for any company that utilizes 77 00:04:36,000 --> 00:04:39,280 Speaker 1: Huawei products or services. It really puts that company at 78 00:04:39,440 --> 00:04:43,320 Speaker 1: at grave risk. Meredith, how do we assess whether this 79 00:04:43,560 --> 00:04:46,320 Speaker 1: is just sort of a chip that President Trump is 80 00:04:46,480 --> 00:04:49,839 Speaker 1: using to try to bring a deal to a close 81 00:04:49,880 --> 00:04:52,479 Speaker 1: in the near term versus some sort of longer term 82 00:04:53,760 --> 00:04:56,800 Speaker 1: effort by the United States to curb Chinese growth and 83 00:04:57,480 --> 00:05:01,880 Speaker 1: development and technology space. So the Trump administration would say 84 00:05:01,920 --> 00:05:04,880 Speaker 1: that that look, these are are parallel tracks that the 85 00:05:05,120 --> 00:05:09,240 Speaker 1: efforts to investigate Huawei and to come to determination on 86 00:05:09,680 --> 00:05:13,160 Speaker 1: on what should happen with Huawei with the entity list, 87 00:05:13,240 --> 00:05:17,440 Speaker 1: So that was separate from the ongoing three oh one 88 00:05:17,520 --> 00:05:23,000 Speaker 1: trade investigation and negotiations. But critical from here on is 89 00:05:23,360 --> 00:05:27,480 Speaker 1: watching for signs that Trump is actively seeking to manage 90 00:05:27,560 --> 00:05:31,160 Speaker 1: the situation, including by signaling to She continued interest in 91 00:05:31,279 --> 00:05:35,960 Speaker 1: negotiating um. This will will tell us if the prospect 92 00:05:36,120 --> 00:05:38,760 Speaker 1: of a meeting between Trump and She to de escalate 93 00:05:39,600 --> 00:05:42,080 Speaker 1: the trade tensions and to do it to de escalate 94 00:05:42,160 --> 00:05:46,119 Speaker 1: this latest evo against Huawei will take place in coming 95 00:05:46,360 --> 00:05:49,480 Speaker 1: weeks or not. Meredith Sumter, thank you so much for 96 00:05:49,560 --> 00:06:06,720 Speaker 1: taking the time with us well. The White House on 97 00:06:06,839 --> 00:06:11,000 Speaker 1: Wednesday initiated a two prompt assault on China, first barring 98 00:06:11,120 --> 00:06:14,200 Speaker 1: companies deemed a national security threat from selling to the 99 00:06:14,320 --> 00:06:18,599 Speaker 1: US and to threatening to blacklist Huawei technologies from buying 100 00:06:19,080 --> 00:06:21,520 Speaker 1: essential components. To get a sense of what this means 101 00:06:21,600 --> 00:06:24,799 Speaker 1: for the global telecom business. We welcome wu Jinhoe. Wouin 102 00:06:24,880 --> 00:06:27,760 Speaker 1: is a senior technology as for Bloomberg Intelligence based in Princeton, 103 00:06:27,800 --> 00:06:32,000 Speaker 1: New Jersey, and John Butler, senior Telecom services and Equipment 104 00:06:32,040 --> 00:06:34,680 Speaker 1: analysts for Bloomberg Intelligence. He joins us here in our 105 00:06:34,680 --> 00:06:37,880 Speaker 1: Bloomberg Interactive Broker Studio. So would I want to start 106 00:06:37,920 --> 00:06:41,880 Speaker 1: with you if you could just describe what Wahwei does 107 00:06:42,160 --> 00:06:44,479 Speaker 1: and how important they are to the global telecom space. 108 00:06:45,240 --> 00:06:48,400 Speaker 1: Thanks Paul, Thanks Lisa. So so a couple of things. Uh, 109 00:06:48,480 --> 00:06:50,800 Speaker 1: if you look at Wahwei the way I've always you, 110 00:06:50,920 --> 00:06:55,520 Speaker 1: blahweh is um one of the fastest growing company that 111 00:06:55,600 --> 00:06:58,359 Speaker 1: Americans have not really have heard of up until recently. 112 00:06:58,920 --> 00:07:03,680 Speaker 1: And what Whahwei is the number one telecom equipment supplier globally. 113 00:07:04,000 --> 00:07:08,840 Speaker 1: They're also the number one smartphone supplier globally. And UM, 114 00:07:09,160 --> 00:07:12,160 Speaker 1: you know, from a supply cham perspective, they rely on 115 00:07:13,160 --> 00:07:16,360 Speaker 1: a lot of the U S components because even though 116 00:07:16,400 --> 00:07:18,640 Speaker 1: they do make their own chips, uh, they can't make 117 00:07:18,680 --> 00:07:21,680 Speaker 1: all of it. So there is a global supply chain 118 00:07:21,880 --> 00:07:26,760 Speaker 1: application from this from a potential ban So I'm just wondering, John, 119 00:07:27,040 --> 00:07:30,559 Speaker 1: from your perspective, which companies in the United States stand 120 00:07:30,640 --> 00:07:32,920 Speaker 1: to benefit the most. I mean, certainly we've there's been 121 00:07:32,920 --> 00:07:35,680 Speaker 1: a lot of focus on the ones that have that 122 00:07:35,880 --> 00:07:38,720 Speaker 1: have suffered as a result of speculation that Wahwei could 123 00:07:38,720 --> 00:07:41,440 Speaker 1: be uh that could be banned from buying components here. 124 00:07:42,240 --> 00:07:44,760 Speaker 1: So the immediate thoughtly said that I had when I 125 00:07:44,880 --> 00:07:48,280 Speaker 1: heard this news was g it's good for Nokiana, Ericson, 126 00:07:48,400 --> 00:07:53,000 Speaker 1: which are not US companies, um, but they compete very 127 00:07:53,160 --> 00:07:58,040 Speaker 1: closely with Huawei in the radio based station market. So 128 00:07:58,240 --> 00:08:02,080 Speaker 1: as all these networks in the US initially and elsewhere 129 00:08:02,160 --> 00:08:05,800 Speaker 1: around the world later this year upgrade to five G, 130 00:08:06,680 --> 00:08:10,920 Speaker 1: the race is on between Huawei, Nokia, Ericsson, and Samsung 131 00:08:11,120 --> 00:08:14,400 Speaker 1: to get share of that market. So I think net 132 00:08:14,480 --> 00:08:18,440 Speaker 1: net this is good for Nokia and Ericsson. The one 133 00:08:18,520 --> 00:08:21,480 Speaker 1: thing to watch is what Jim was talking about. There's 134 00:08:21,720 --> 00:08:24,720 Speaker 1: the threat of a ban on the supply of US 135 00:08:24,800 --> 00:08:28,800 Speaker 1: components to Huawei, and so the question becomes, how does 136 00:08:29,120 --> 00:08:32,960 Speaker 1: Beijing respond to that if in fact the US makes 137 00:08:33,000 --> 00:08:36,079 Speaker 1: good on that threat. So Jin, how about on the 138 00:08:36,360 --> 00:08:40,200 Speaker 1: chip side. I know, again some of the big chip makers, 139 00:08:40,240 --> 00:08:42,720 Speaker 1: a lot of them US based. Uh you know, listen, 140 00:08:42,840 --> 00:08:47,000 Speaker 1: Huawei is a big customer. How are they reacting sure. So, Um, 141 00:08:47,679 --> 00:08:50,439 Speaker 1: I'm looking at my screen right now, and uh, half 142 00:08:50,520 --> 00:08:53,640 Speaker 1: my screen is green and half my screen is read. 143 00:08:54,040 --> 00:08:57,280 Speaker 1: So from from the red side has been essentially all 144 00:08:57,320 --> 00:09:01,360 Speaker 1: the chip makers. Anybody who's anybody in the semiconductor space 145 00:09:01,640 --> 00:09:05,199 Speaker 1: will supply to Whahwei, especially given their dominance and a 146 00:09:05,280 --> 00:09:09,839 Speaker 1: smartphone space and on the networking space in particular in 147 00:09:09,880 --> 00:09:12,480 Speaker 1: the optical space. So if we look at companies like 148 00:09:12,760 --> 00:09:15,960 Speaker 1: Neo Photonics of a small cap company, but they supply 149 00:09:16,080 --> 00:09:19,719 Speaker 1: optical components of Whawe, they are about revenues. And on 150 00:09:19,840 --> 00:09:23,760 Speaker 1: the other hand, we have companies like Skywork as well 151 00:09:23,840 --> 00:09:29,280 Speaker 1: as Corvo, meaningful radio frequency chip suppliers globally. Um, you know, 152 00:09:29,360 --> 00:09:31,640 Speaker 1: they're about ten percent of sales, and then you have 153 00:09:31,800 --> 00:09:36,800 Speaker 1: a slew of companies that provide anywhere between two to 154 00:09:37,000 --> 00:09:41,760 Speaker 1: three percent of total sales to Yahwei. So John, you're 155 00:09:41,800 --> 00:09:44,959 Speaker 1: talking about how you know there is this sort of 156 00:09:45,040 --> 00:09:49,719 Speaker 1: positive benefit potentially to providers of five G technology in 157 00:09:49,760 --> 00:09:51,760 Speaker 1: the United States who are not going to have these 158 00:09:51,800 --> 00:09:54,800 Speaker 1: restrictions on them. I'm just wondering that you also mentioned 159 00:09:54,840 --> 00:09:57,880 Speaker 1: the retaliation from China. What are some of the potential 160 00:09:58,559 --> 00:10:02,000 Speaker 1: steps that China could take Well, the one I'm worried about, 161 00:10:02,120 --> 00:10:05,800 Speaker 1: Lisa is the potential for Apple to get slapped with 162 00:10:06,000 --> 00:10:11,080 Speaker 1: restrictions in China. Um. They derive almost of their revenue 163 00:10:11,240 --> 00:10:15,600 Speaker 1: from from Greater China, so that would include Hong Kong 164 00:10:15,720 --> 00:10:19,880 Speaker 1: and other surrounding regions within China. But the reality is 165 00:10:20,000 --> 00:10:23,439 Speaker 1: that Beijing wanted to really get tough on Apple, Um, 166 00:10:23,840 --> 00:10:26,400 Speaker 1: it would hurt and it could hurt the US as well. 167 00:10:27,320 --> 00:10:31,440 Speaker 1: Keep in mind that one of the iPhones are manufactured 168 00:10:31,559 --> 00:10:35,800 Speaker 1: in China, so they could not only uh, look at 169 00:10:35,800 --> 00:10:39,040 Speaker 1: Apple or hit Apple on the sales side, but also 170 00:10:39,200 --> 00:10:42,800 Speaker 1: on the manufacturing side. It's interesting, John, just looking at Apple, 171 00:10:42,840 --> 00:10:45,280 Speaker 1: It's off about zero point eight percent today in a 172 00:10:45,400 --> 00:10:47,959 Speaker 1: market where the nasdacs up over one percent. So clearly 173 00:10:48,120 --> 00:10:51,160 Speaker 1: clearly some concern in there. Well, which just wondering, you know, 174 00:10:51,360 --> 00:10:54,320 Speaker 1: if if I'm Whahwei, this is a really big deal, 175 00:10:54,559 --> 00:10:56,600 Speaker 1: isn't it, Because I mean, this is really a threat 176 00:10:56,640 --> 00:10:58,280 Speaker 1: to my business because if I can't get chips from 177 00:10:58,280 --> 00:11:01,440 Speaker 1: the US, can they even source chips to make up 178 00:11:01,480 --> 00:11:06,120 Speaker 1: from other parts of the world. Um? Uh, great question, Paul. Uh. 179 00:11:06,679 --> 00:11:09,719 Speaker 1: The short answer is no. But the one thing that 180 00:11:09,800 --> 00:11:11,920 Speaker 1: I can say based on the learning's calls that I've 181 00:11:12,000 --> 00:11:17,440 Speaker 1: heard UM across my sector is that Wawei actually has 182 00:11:17,520 --> 00:11:20,640 Speaker 1: some STOCKPI stockpiling chips over the past couple of quarters 183 00:11:21,360 --> 00:11:25,760 Speaker 1: UH to help the risk some of the supply supply 184 00:11:25,880 --> 00:11:29,920 Speaker 1: chain concerns. We don't know how much that they've inventoried. UM, 185 00:11:30,120 --> 00:11:32,520 Speaker 1: it might be a quarter or two of supply. So 186 00:11:32,640 --> 00:11:36,320 Speaker 1: if this is a short band, and then let's keep 187 00:11:36,360 --> 00:11:38,120 Speaker 1: in mind a band has not been put in place. 188 00:11:38,240 --> 00:11:40,800 Speaker 1: But if there is a short ban in place, UM, 189 00:11:41,240 --> 00:11:43,560 Speaker 1: you know, it might not impact Huawei's business at all, 190 00:11:44,000 --> 00:11:48,400 Speaker 1: but if they lasts beyond two potentially three quarters UH, 191 00:11:48,480 --> 00:11:51,319 Speaker 1: then it could have broader implications for the space. I 192 00:11:51,400 --> 00:11:53,559 Speaker 1: have to say, Paul, it's interesting just looking at the 193 00:11:53,640 --> 00:11:56,760 Speaker 1: market reaction right now, it does not seem uh light 194 00:11:56,840 --> 00:12:00,640 Speaker 1: markets are fully pricing in that Huawei will be banned 195 00:12:00,640 --> 00:12:04,160 Speaker 1: from buying components in the US because right now, and 196 00:12:04,280 --> 00:12:07,000 Speaker 1: we're not seeing the sort of response that indicates that 197 00:12:07,000 --> 00:12:10,040 Speaker 1: people are betting on an escalation and trade concerns. Yeah, 198 00:12:10,120 --> 00:12:12,360 Speaker 1: you're right, I'm just looking at this strong nastac here. 199 00:12:12,400 --> 00:12:15,600 Speaker 1: So there's some pockets of weakness clearly where the semi chips, 200 00:12:15,640 --> 00:12:18,840 Speaker 1: but otherwise pretty strong that's right. Bloomer Intelligence is Wuginhoe 201 00:12:19,120 --> 00:12:23,760 Speaker 1: focusing on technology and John Butler focusing on telecoms. Thank 202 00:12:23,800 --> 00:12:44,720 Speaker 1: you so much for being with us. We appreciate it, so, Paul. 203 00:12:44,800 --> 00:12:47,280 Speaker 1: Among the people who I spoke with last night at 204 00:12:47,360 --> 00:12:51,440 Speaker 1: this modern CFO conference was Virginny Costa, chief financial officer 205 00:12:51,800 --> 00:12:55,079 Speaker 1: of Goodiva, and it was interesting. She talked about a 206 00:12:55,200 --> 00:12:59,840 Speaker 1: goal to increase revenue fivefold over the next five year 207 00:13:00,200 --> 00:13:02,199 Speaker 1: and the way that they're doing it is betting on 208 00:13:02,600 --> 00:13:05,240 Speaker 1: these cafes that they're starting to roll out. Uh and 209 00:13:05,360 --> 00:13:10,720 Speaker 1: something called a craffle or crawfle crossotte waffle uh, which 210 00:13:10,760 --> 00:13:14,480 Speaker 1: sounds delicious and which also sounds like you might not 211 00:13:14,720 --> 00:13:19,120 Speaker 1: want to know the content. It sounds very good. Let's 212 00:13:19,240 --> 00:13:21,599 Speaker 1: I started out the conversation. Are we talking about the 213 00:13:21,679 --> 00:13:25,360 Speaker 1: cafe concept? What is new? Why it was rolled out 214 00:13:25,360 --> 00:13:27,800 Speaker 1: in the first place? Uh? And how the first good 215 00:13:27,840 --> 00:13:29,520 Speaker 1: I have a cafe was rolled out in the United 216 00:13:29,520 --> 00:13:32,160 Speaker 1: States last month. Let's listen to what she had to say. 217 00:13:32,960 --> 00:13:36,720 Speaker 1: We decided really to open a cafe for two reasons. First, 218 00:13:36,760 --> 00:13:39,480 Speaker 1: because we had an existing based in Middle East. We 219 00:13:39,559 --> 00:13:42,120 Speaker 1: have about forty of those cafe in Middle East that 220 00:13:42,160 --> 00:13:46,240 Speaker 1: were very successful and in here in North America. As 221 00:13:46,280 --> 00:13:48,680 Speaker 1: you said, we opened up the first one last month 222 00:13:49,080 --> 00:13:52,400 Speaker 1: with a brand new concept and more excitedly. Actually, we 223 00:13:52,520 --> 00:13:57,679 Speaker 1: also now have an expanded assortment, so we have available 224 00:13:57,880 --> 00:14:02,400 Speaker 1: about two dozen of unique items and new items. One 225 00:14:02,480 --> 00:14:05,480 Speaker 1: that I'm very fond of is called the craffle. It's 226 00:14:05,480 --> 00:14:09,240 Speaker 1: a trademarked name. It's a combination of croissan and waffle 227 00:14:09,360 --> 00:14:12,040 Speaker 1: because it's actually a croissant that you press in a 228 00:14:12,120 --> 00:14:14,880 Speaker 1: waffle iron. And the beauty about it is that you 229 00:14:14,960 --> 00:14:18,360 Speaker 1: can fill it with either our milk or dark chocolate 230 00:14:18,440 --> 00:14:21,120 Speaker 1: for an afternoon snack, or you can have it severed 231 00:14:21,160 --> 00:14:24,560 Speaker 1: in the morning your breakfast sandwich, fill with hamond cheese 232 00:14:24,760 --> 00:14:27,760 Speaker 1: three cheese, which is my favorite egg sausage and career. 233 00:14:28,400 --> 00:14:31,760 Speaker 1: And it's really providing now an everyday occasion for our 234 00:14:31,840 --> 00:14:35,120 Speaker 1: customers to come to go diver and expanding on our 235 00:14:35,560 --> 00:14:38,960 Speaker 1: special occasion product. Now now you can come to us 236 00:14:39,080 --> 00:14:42,080 Speaker 1: every day. What's the financial case for opening up a 237 00:14:42,160 --> 00:14:45,360 Speaker 1: cafe at a time when restaurants are struggling, and we 238 00:14:45,480 --> 00:14:49,840 Speaker 1: know that other outlets are closing some some locations, we 239 00:14:50,240 --> 00:14:54,800 Speaker 1: think that there's a really immense opportunity to really rooted 240 00:14:54,880 --> 00:14:58,640 Speaker 1: in our Belgium heritage. We have a unique proposition. It's 241 00:14:58,720 --> 00:15:01,640 Speaker 1: a unique product as as said, and just to share 242 00:15:01,720 --> 00:15:05,240 Speaker 1: the craffle, we also have Belgium waffles. We also developed 243 00:15:05,240 --> 00:15:08,680 Speaker 1: a signature Godiver cafe that pair very well with chocolate 244 00:15:08,880 --> 00:15:11,640 Speaker 1: and as well as signature tea pairing the same thing 245 00:15:11,840 --> 00:15:14,840 Speaker 1: very well with chocolate. So it's a a really very 246 00:15:15,000 --> 00:15:19,320 Speaker 1: nice expanded assortment rooted in a special Belgium heritage, a 247 00:15:19,520 --> 00:15:23,640 Speaker 1: unique proposition that we believe will really benefit the customers 248 00:15:23,680 --> 00:15:26,640 Speaker 1: across all their parts. Is it the experience kind of 249 00:15:26,800 --> 00:15:29,040 Speaker 1: aspect of it as well, and is that really the 250 00:15:29,280 --> 00:15:32,280 Speaker 1: biggest source of growth going forward that you see right 251 00:15:32,280 --> 00:15:36,720 Speaker 1: now for Cadivera. Correct, absolutely, we think that exactly and 252 00:15:37,040 --> 00:15:39,840 Speaker 1: as a matter of fact, we have a plan to 253 00:15:40,240 --> 00:15:44,160 Speaker 1: grow our revenue fivefold over the next six years and 254 00:15:44,720 --> 00:15:47,200 Speaker 1: the big part of that growth will come from those cafe. 255 00:15:47,320 --> 00:15:51,000 Speaker 1: We intend on actually deploying about two thousand cafe across 256 00:15:51,040 --> 00:15:54,200 Speaker 1: the globe. And and again back to that opportunity to 257 00:15:54,320 --> 00:15:58,680 Speaker 1: really have a proposition that is really bringing customers across 258 00:15:58,720 --> 00:16:01,200 Speaker 1: all their parts and come in the morning, you can 259 00:16:01,280 --> 00:16:03,160 Speaker 1: come for your lunch. We also have grab and go, 260 00:16:04,000 --> 00:16:06,000 Speaker 1: you can come for your afternoon snacks. So now we 261 00:16:06,120 --> 00:16:10,640 Speaker 1: do have really building on our special occasion gifting proposition. 262 00:16:10,760 --> 00:16:15,240 Speaker 1: We really have a unique larger proposition. One thing that 263 00:16:15,320 --> 00:16:19,600 Speaker 1: we talk a lot about, aside from chocolate and wonderful waffles, 264 00:16:20,520 --> 00:16:22,920 Speaker 1: is the trade concerns that have been picking up recently. 265 00:16:23,080 --> 00:16:26,840 Speaker 1: And I have to wonder with a food consumer company 266 00:16:26,920 --> 00:16:28,880 Speaker 1: where I'm sure you import the ingredients from a lot 267 00:16:28,920 --> 00:16:32,160 Speaker 1: of different places, how much do some of the trade 268 00:16:32,200 --> 00:16:35,480 Speaker 1: tensions affect what you do? So the beauty of good 269 00:16:35,520 --> 00:16:38,440 Speaker 1: Ivan it's not really well known. It's we are actually 270 00:16:38,480 --> 00:16:42,440 Speaker 1: a global business. We are presenting more than a hundred countries. 271 00:16:42,520 --> 00:16:47,360 Speaker 1: We have about eight hundred retail locations. And the benefit 272 00:16:47,440 --> 00:16:50,720 Speaker 1: of this is that and with the international customer traveling, 273 00:16:51,240 --> 00:16:55,360 Speaker 1: we are really benefiting from all the different elements that 274 00:16:55,480 --> 00:16:58,560 Speaker 1: can you know, happen in every piece of the world. 275 00:16:59,000 --> 00:17:02,240 Speaker 1: Um So being globe all business help and enables you 276 00:17:02,480 --> 00:17:06,359 Speaker 1: I believe to have really a strong fundamentals to really 277 00:17:06,440 --> 00:17:09,520 Speaker 1: be in any sort of change that can happen in 278 00:17:09,680 --> 00:17:11,760 Speaker 1: So at some point in some place of the world, 279 00:17:12,200 --> 00:17:13,600 Speaker 1: what do you think it's going to be the biggest 280 00:17:13,680 --> 00:17:17,639 Speaker 1: challenge over the next few years. That's a very interesting question. 281 00:17:17,920 --> 00:17:20,520 Speaker 1: I think what continues and that's part of what the 282 00:17:20,600 --> 00:17:23,840 Speaker 1: conversation has been together is I think um and with 283 00:17:24,000 --> 00:17:26,959 Speaker 1: my heart as a CFO, I think what really matters 284 00:17:27,200 --> 00:17:30,359 Speaker 1: is big data and how we will use and and 285 00:17:30,440 --> 00:17:33,360 Speaker 1: actually leverage big data. I think there's still a lot 286 00:17:33,440 --> 00:17:37,440 Speaker 1: of things that everybody is learning, either from a customer 287 00:17:37,600 --> 00:17:41,000 Speaker 1: perspective because you have access to such a lot of information, 288 00:17:41,119 --> 00:17:44,680 Speaker 1: but as well as an enterprise how to really leverage 289 00:17:44,680 --> 00:17:47,920 Speaker 1: the data. So I think it's um it's a challenge, 290 00:17:47,960 --> 00:17:51,440 Speaker 1: but as well as a great opportunity for everybody as 291 00:17:51,560 --> 00:17:54,639 Speaker 1: individuals and as well as professionals in an organization. Do 292 00:17:54,680 --> 00:17:56,479 Speaker 1: you think that the big data issue is the biggest 293 00:17:56,560 --> 00:17:59,600 Speaker 1: change facing CFOs right now? I think it's a big 294 00:17:59,640 --> 00:18:02,920 Speaker 1: company none of what has made that role evolve over 295 00:18:03,080 --> 00:18:06,200 Speaker 1: already the past few years, and he will continue to evolve. 296 00:18:06,320 --> 00:18:09,280 Speaker 1: I believe how often do you actually eat goodiva chocolate 297 00:18:09,320 --> 00:18:11,760 Speaker 1: because you're quite slimmed. I'm wondering, and how often do 298 00:18:11,800 --> 00:18:16,359 Speaker 1: you have quaffles, honest, honest chocolates every day? I cannot 299 00:18:16,440 --> 00:18:20,080 Speaker 1: help it. I have my my favorite proline and the 300 00:18:20,200 --> 00:18:23,200 Speaker 1: crawfoy is very addictive. Once you have tasted one, you 301 00:18:23,320 --> 00:18:26,040 Speaker 1: want that for your breakfast morning every morning? So that's 302 00:18:26,040 --> 00:18:28,920 Speaker 1: what you have every morning for breakfast. I try every 303 00:18:29,000 --> 00:18:32,240 Speaker 1: morning a different flavor. I have to admit, maybe all 304 00:18:32,320 --> 00:18:35,440 Speaker 1: have your metabolism. Virginia Costa, thank you so much for 305 00:18:35,480 --> 00:18:38,800 Speaker 1: being with us. That was Virginia Costa, CFO of Godiva, 306 00:18:38,880 --> 00:18:41,760 Speaker 1: on their new cafe concept and maybe why should eat 307 00:18:41,800 --> 00:18:44,240 Speaker 1: quaffles every morning? I think that was my takeaway. Lisa, 308 00:18:44,960 --> 00:18:49,720 Speaker 1: it sounds delicious, certainly very angry. Honestly. She elaborated a 309 00:18:49,800 --> 00:18:52,480 Speaker 1: little bit on the panel about big data and just 310 00:18:52,640 --> 00:18:55,359 Speaker 1: what that means for a retail brand, how you can 311 00:18:55,400 --> 00:18:58,560 Speaker 1: predict people's habits so you can predict when people are 312 00:18:58,560 --> 00:19:01,400 Speaker 1: going to be coming in and better cater to them. 313 00:19:01,800 --> 00:19:04,800 Speaker 1: It's just there's a lot of opportunity with big data 314 00:19:04,960 --> 00:19:07,760 Speaker 1: that a lot of particularly retail facing companies are exploring, 315 00:19:07,840 --> 00:19:11,000 Speaker 1: but frankly all companies. That was really interesting to me. Yeah, 316 00:19:11,000 --> 00:19:13,080 Speaker 1: it's interesting, and just for the good divers story, just 317 00:19:13,240 --> 00:19:15,040 Speaker 1: to hear that, you know, the kind of growth they 318 00:19:15,119 --> 00:19:17,879 Speaker 1: are forecasting for their company and uh, you know, basing 319 00:19:17,960 --> 00:19:21,040 Speaker 1: that growth on the cafe concept. So you know, I 320 00:19:21,080 --> 00:19:23,400 Speaker 1: would say a significant change in kind of their business model, 321 00:19:23,400 --> 00:19:41,400 Speaker 1: getting into kind of the retail side of chocolate. Walmart 322 00:19:41,480 --> 00:19:45,040 Speaker 1: shares are having their best one day rallies since December 323 00:19:45,320 --> 00:19:48,600 Speaker 1: as they reported better than expected earnings their strongest same 324 00:19:48,680 --> 00:19:52,359 Speaker 1: store growth in nine years. Joining us now to discuss 325 00:19:52,400 --> 00:19:55,760 Speaker 1: Bert Flicking ger managing director for Strategic Resource Group, in 326 00:19:55,880 --> 00:19:59,479 Speaker 1: our Bloombergotter Active Broker Studios in New York Bird, can 327 00:19:59,560 --> 00:20:02,920 Speaker 1: we get a sense of how long lasting the strength 328 00:20:03,400 --> 00:20:07,200 Speaker 1: that we saw in Walmart seems to be? Lisa, the 329 00:20:07,960 --> 00:20:11,000 Speaker 1: strength will go on for the foreseeable future, certainly the 330 00:20:11,080 --> 00:20:13,400 Speaker 1: next ten to fifteen years. If you look at Chicago, 331 00:20:14,200 --> 00:20:19,720 Speaker 1: where you're broadcasting from now, you look at south side Chicago, Land, 332 00:20:20,119 --> 00:20:24,520 Speaker 1: the state, Uh, from the Great Lakes region to the northeast, 333 00:20:24,600 --> 00:20:29,000 Speaker 1: densely populated areas. Walmart has one store for every thirty 334 00:20:29,040 --> 00:20:32,800 Speaker 1: to fifty thousand people in Alabama and states like California, 335 00:20:32,840 --> 00:20:35,320 Speaker 1: they've got one store for every half a million people. 336 00:20:35,800 --> 00:20:41,040 Speaker 1: So Uh, Doug McMillan, dynamic CEO is like the reincarnation 337 00:20:41,119 --> 00:20:45,680 Speaker 1: of Elane Elane May and Warren Beatties Uh seminal movie 338 00:20:45,800 --> 00:20:52,879 Speaker 1: Heaven Can Wait. He's uh investing in technology, investing in rooftop, solar, 339 00:20:53,080 --> 00:20:56,440 Speaker 1: every other kind of savings and lowering prices to race 340 00:20:56,520 --> 00:20:59,159 Speaker 1: shop or standard of living. And instead of looking at 341 00:20:59,200 --> 00:21:01,840 Speaker 1: marketing as an expense, he's got the best and the 342 00:21:01,960 --> 00:21:06,560 Speaker 1: most effective advertising anywhere worldwide in retail. So for one 343 00:21:06,600 --> 00:21:08,480 Speaker 1: of the numbers that jumped out at me is that 344 00:21:08,840 --> 00:21:11,760 Speaker 1: has really for several quarters now is the online business. 345 00:21:11,800 --> 00:21:15,160 Speaker 1: Their e commerce business. The revenue is up thirty seven percent. Boy, 346 00:21:15,200 --> 00:21:17,840 Speaker 1: it looks like, after you know, some initial stumbles early 347 00:21:17,960 --> 00:21:20,280 Speaker 1: on in their development of their e commerce platform, they've 348 00:21:20,320 --> 00:21:22,480 Speaker 1: really figured it out, and it looks like they're gonna 349 00:21:22,480 --> 00:21:24,040 Speaker 1: give Amazon a run for their money in terms of 350 00:21:24,080 --> 00:21:27,200 Speaker 1: the e commerce across a broad swath of consumer products. 351 00:21:27,440 --> 00:21:31,720 Speaker 1: Paul completely correct, And what Walmart is doing is investing 352 00:21:31,800 --> 00:21:38,440 Speaker 1: in robotics, UH mechanization, satellite communications, doing it everything themselves, 353 00:21:38,800 --> 00:21:42,840 Speaker 1: where their competitors, with the exception of Amazon, are outsourcing. 354 00:21:43,240 --> 00:21:47,520 Speaker 1: So Walmart has more terribly like Bloomberg on the terminal. 355 00:21:47,640 --> 00:21:51,640 Speaker 1: Walmart has more terrob bytes of data than anybody worldwide, 356 00:21:52,119 --> 00:21:55,840 Speaker 1: than the other than the US Pentagon to be able 357 00:21:55,920 --> 00:21:59,919 Speaker 1: to deliver a ninety percent of the Bloomberg XM serious 358 00:22:00,000 --> 00:22:03,720 Speaker 1: audience within the next fifteen months, UH forty of the 359 00:22:03,800 --> 00:22:08,400 Speaker 1: top fifty metro areas ultimately forty five of the top fifties. 360 00:22:08,440 --> 00:22:11,040 Speaker 1: So whether it's in store click and collect or the 361 00:22:11,160 --> 00:22:16,399 Speaker 1: FedEx centers in the Walmart eleven format in Avon, Colorado, UH, 362 00:22:16,560 --> 00:22:22,879 Speaker 1: can consumer can save worldwide anywhere anytime with Walmart. No 363 00:22:23,000 --> 00:22:24,639 Speaker 1: one else can do that. Well, you know, when we 364 00:22:24,720 --> 00:22:28,199 Speaker 1: talk about Amazon and the shipping costs, we always focus 365 00:22:28,280 --> 00:22:31,280 Speaker 1: on how much more they're spending UH to get those 366 00:22:31,320 --> 00:22:34,360 Speaker 1: packages to people sooner and sooner. And Walmart is trying 367 00:22:34,400 --> 00:22:37,480 Speaker 1: to compete with that, offering similar types of delivery times. 368 00:22:37,520 --> 00:22:40,199 Speaker 1: And I'm wondering how much they're spending is going up? 369 00:22:40,880 --> 00:22:45,040 Speaker 1: Spending is going up, Lisa, But uh, their total supply 370 00:22:45,320 --> 00:22:50,239 Speaker 1: savings at Walmart. So Amazon will sell small products light 371 00:22:50,320 --> 00:22:53,399 Speaker 1: and weight small in cube uh and make a lot 372 00:22:53,480 --> 00:22:55,960 Speaker 1: of money. But if someone wants to order a baby 373 00:22:56,040 --> 00:22:59,960 Speaker 1: stroller or a big bag of pet food, UH, Amazon 374 00:23:00,040 --> 00:23:03,200 Speaker 1: on charges a fortune and part of the savings and 375 00:23:03,560 --> 00:23:08,199 Speaker 1: in Walmart's brilliance in being the low price leader. Bloomberg 376 00:23:08,560 --> 00:23:11,880 Speaker 1: Editor in chief of Meredith Matthew Winkler did a great 377 00:23:12,000 --> 00:23:16,199 Speaker 1: session with Tom yesterday on E S g u UM 378 00:23:17,600 --> 00:23:23,000 Speaker 1: Environmental social, sustainable and governance. And Walmart is investing so 379 00:23:23,240 --> 00:23:27,960 Speaker 1: much in sustainable rooftop solar with Inner Solar and others 380 00:23:28,119 --> 00:23:32,920 Speaker 1: as his Amazon target all the and BJ's wholesale club too, 381 00:23:33,400 --> 00:23:37,320 Speaker 1: that whether it's terraces or not, Walmart is finding so 382 00:23:37,480 --> 00:23:41,760 Speaker 1: many ways to save to reinvest. So, as Tom King says, 383 00:23:42,240 --> 00:23:45,000 Speaker 1: what are the units? Walmart was up three point four 384 00:23:45,119 --> 00:23:48,080 Speaker 1: percent as Paul reference today and same store sales, but 385 00:23:48,359 --> 00:23:51,760 Speaker 1: units are up over five percent. So you've got dollar 386 00:23:51,880 --> 00:23:56,840 Speaker 1: stores like Fred's multi regionally potentially filing for bankruptcy liquidation. 387 00:23:57,320 --> 00:24:00,440 Speaker 1: So Walmart's becoming a shopping center with in the four 388 00:24:00,560 --> 00:24:04,800 Speaker 1: walls of of Walmart and displacing thousands of shopping centers 389 00:24:04,800 --> 00:24:08,280 Speaker 1: across America in the In the process, Walmart's winning, to 390 00:24:08,400 --> 00:24:12,120 Speaker 1: your point, Lisa, for the foreseeable future at least um 391 00:24:12,560 --> 00:24:16,600 Speaker 1: to and beyond. So just you know, looking at the 392 00:24:16,640 --> 00:24:20,120 Speaker 1: Bloomberg terminal um and the pg O function for Walmart's 393 00:24:20,280 --> 00:24:24,680 Speaker 1: nick at about almost of their sales from international, give 394 00:24:24,760 --> 00:24:27,080 Speaker 1: us a sense of where do you think that number goes? 395 00:24:27,160 --> 00:24:28,439 Speaker 1: You want to do? You think they want to continue 396 00:24:28,440 --> 00:24:32,800 Speaker 1: to grow their international business, grow international, but cautiously in 397 00:24:33,160 --> 00:24:38,040 Speaker 1: our field work UK Ireland. We saw the twin towers 398 00:24:38,080 --> 00:24:41,680 Speaker 1: of power from the continent. Uh all Brecht, which owns 399 00:24:41,720 --> 00:24:44,919 Speaker 1: Trader Joe's an Aldi in the US and Lethal as 400 00:24:45,000 --> 00:24:48,359 Speaker 1: well as Occato and Amazon wal run Walmart out of 401 00:24:48,400 --> 00:24:52,960 Speaker 1: the UK old earlier continental Europe. So Walmart took the money. 402 00:24:53,280 --> 00:24:55,639 Speaker 1: I was going to take the money from Ozda to 403 00:24:55,800 --> 00:24:59,560 Speaker 1: reinvest in flip card in India, uh cautiously proceeding in 404 00:24:59,680 --> 00:25:02,680 Speaker 1: pr See or mainland China because the government is not 405 00:25:02,800 --> 00:25:06,359 Speaker 1: as supportive as one might think. So Walmart wins in 406 00:25:06,640 --> 00:25:11,240 Speaker 1: North America, throughout Central and Latin America, and win selectively 407 00:25:11,320 --> 00:25:13,400 Speaker 1: in Asia. But India is going to be the big 408 00:25:13,480 --> 00:25:18,399 Speaker 1: growth engine and will Walmart International will be profitable sales 409 00:25:18,440 --> 00:25:20,399 Speaker 1: and market share growth up to about a third to 410 00:25:20,520 --> 00:25:23,600 Speaker 1: thirty five percent of the company over the next ten years. 411 00:25:24,320 --> 00:25:26,440 Speaker 1: But we would be remiss if we didn't talk about 412 00:25:26,520 --> 00:25:29,520 Speaker 1: tariffs and Walmart's comments on the fact that they plan 413 00:25:29,680 --> 00:25:32,359 Speaker 1: on passing along the increased costs of certain goods to 414 00:25:32,520 --> 00:25:36,080 Speaker 1: consumers and they expect consumers to be able to absorb that. 415 00:25:36,240 --> 00:25:39,239 Speaker 1: That was taken as really good news by markets. Can 416 00:25:39,280 --> 00:25:42,439 Speaker 1: you talk a little bit about why good news by 417 00:25:42,520 --> 00:25:47,520 Speaker 1: markets is the Bloomberg Terminal reported today Lisa UH gross 418 00:25:47,640 --> 00:25:50,400 Speaker 1: margins at Walmart or over four percent for the first 419 00:25:50,480 --> 00:25:54,680 Speaker 1: time in a long time. Also, Walmart's offsetting tariff increases 420 00:25:54,760 --> 00:25:57,359 Speaker 1: by going to key vendors, for example an apparel on 421 00:25:57,400 --> 00:26:01,800 Speaker 1: the Bloomberg Terminal UH cotton prices the last two crop 422 00:26:01,960 --> 00:26:05,639 Speaker 1: years or historic lows, so Walmart saying, look, the cost 423 00:26:05,720 --> 00:26:10,000 Speaker 1: of raw materials for the suggested retail price are only 424 00:26:10,080 --> 00:26:14,720 Speaker 1: one or one tenth of the products. So you the manufacturer, 425 00:26:14,760 --> 00:26:18,280 Speaker 1: whether you find savings in cotton, whether you find savings 426 00:26:18,320 --> 00:26:22,920 Speaker 1: in technology or supply chain, or on shoring manufacturing in America, 427 00:26:23,040 --> 00:26:27,359 Speaker 1: North America or using other countries in Southern Ation instead 428 00:26:27,359 --> 00:26:31,760 Speaker 1: of North Asia to produce the effect of Walmart terrorists 429 00:26:31,840 --> 00:26:35,760 Speaker 1: will be material, as you said, but not nearly as 430 00:26:35,880 --> 00:26:38,840 Speaker 1: meaningful and and to the point of almost being diminimous 431 00:26:39,240 --> 00:26:42,399 Speaker 1: in this Gary Shilling deflationary environment where the cost of 432 00:26:42,480 --> 00:26:48,040 Speaker 1: TVs and consumer electronics decline year after holiday year. Bert Flickinger, 433 00:26:48,160 --> 00:26:51,080 Speaker 1: Managing Director, Strategic Resource Group, thank you so much for 434 00:26:51,240 --> 00:26:54,080 Speaker 1: joining us. We always appreciate your comments on Walmart and 435 00:26:54,280 --> 00:26:57,600 Speaker 1: all things retail. Thanks for listening to the Bloomberg p 436 00:26:57,680 --> 00:27:00,239 Speaker 1: andl podcast. You can subscribe and listen to Inner Use 437 00:27:00,280 --> 00:27:03,399 Speaker 1: at Apple Podcasts or whatever podcast platform you prefer. M 438 00:27:03,440 --> 00:27:06,200 Speaker 1: Paul Sweeney, I'm on Twitter at pt Sweeney. I'm Lisa 439 00:27:06,200 --> 00:27:08,840 Speaker 1: abram Woits. I'm on Twitter at Lisa abram Woits. One. 440 00:27:09,080 --> 00:27:11,639 Speaker 1: Before the podcast, you can always catch us worldwide on 441 00:27:11,720 --> 00:27:12,520 Speaker 1: Bloomberg Radio