1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg P and 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 --> 00:00:30,760 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. Vice 7 00:00:30,800 --> 00:00:34,520 Speaker 1: President Pence has been speaking at the Husband Institute in Washington, 8 00:00:34,680 --> 00:00:38,320 Speaker 1: d C. Among his comments, he said that Chinese security 9 00:00:38,360 --> 00:00:43,680 Speaker 1: agencies have masterminded the wholesale theft of American technology, including 10 00:00:43,720 --> 00:00:48,159 Speaker 1: cutting edge military blueprints. Of course, this is incredibly relevant, 11 00:00:48,240 --> 00:00:51,640 Speaker 1: especially in light of the blockbuster Bloomberg business Week story 12 00:00:51,640 --> 00:00:55,880 Speaker 1: that just came out talking about a micro chip implanted 13 00:00:56,000 --> 00:00:59,640 Speaker 1: in computer motherboards that were used in everything from the 14 00:00:59,640 --> 00:01:03,240 Speaker 1: pencil Gone to Amazon to Google. Joining us now is 15 00:01:03,280 --> 00:01:06,920 Speaker 1: Matt Chiot, vice president chief information security officer at Redlock 16 00:01:07,240 --> 00:01:10,200 Speaker 1: in Philadelphia. Matt, I want to just start with that 17 00:01:10,280 --> 00:01:14,240 Speaker 1: story reported by Bloomberg business Week. Are you concerned reading 18 00:01:14,280 --> 00:01:17,600 Speaker 1: that that China has gotten access to the to our 19 00:01:17,640 --> 00:01:20,480 Speaker 1: biggest technology companies in the United States as well as 20 00:01:20,480 --> 00:01:24,120 Speaker 1: potentially the military. You know, absolutely, I think that this 21 00:01:24,240 --> 00:01:27,959 Speaker 1: story right now. Mindly, all of this is allegedly reportedly. 22 00:01:28,120 --> 00:01:31,040 Speaker 1: But if what is being reported is true, this could 23 00:01:31,080 --> 00:01:36,640 Speaker 1: be very, very dangerous. Why Well, it could be dangerous 24 00:01:36,640 --> 00:01:38,679 Speaker 1: for a number of reasons, but number one, most of 25 00:01:38,720 --> 00:01:41,720 Speaker 1: the time when we talk about cyber security, we're talking 26 00:01:41,720 --> 00:01:46,160 Speaker 1: about software based hacks. In this specific incident, we're talking 27 00:01:46,160 --> 00:01:49,800 Speaker 1: about hardware. Hardware hacks are really ever talked about. It's 28 00:01:49,840 --> 00:01:52,720 Speaker 1: usually just something that has talked about as being theoretical, 29 00:01:52,840 --> 00:01:55,720 Speaker 1: something that could happen. If this did in fact happen, 30 00:01:55,960 --> 00:01:59,320 Speaker 1: we need to remember that allegedly, these chips are so 31 00:01:59,480 --> 00:02:02,200 Speaker 1: small that they can barely be seen by the human eye. 32 00:02:02,520 --> 00:02:05,400 Speaker 1: And what happens is with these chips, allegedly is that 33 00:02:05,640 --> 00:02:09,360 Speaker 1: they allow code to be inserted into the operating system 34 00:02:09,600 --> 00:02:12,560 Speaker 1: that's running on top of this hardware. This could let 35 00:02:12,639 --> 00:02:17,600 Speaker 1: somebody do any number of things, including potentially expilter, expiltate data, 36 00:02:17,960 --> 00:02:21,880 Speaker 1: or do other things perhaps far more Nefaria matt As, 37 00:02:21,960 --> 00:02:27,160 Speaker 1: the Chief Information Security Officer of Redlock and previously the 38 00:02:27,240 --> 00:02:30,600 Speaker 1: head of Cloud Security and Global Head of Cloud Security 39 00:02:30,720 --> 00:02:35,960 Speaker 1: at Cognizant Technology Solutions. If you received a telephone call, 40 00:02:36,080 --> 00:02:41,560 Speaker 1: in email, a communication from a client asking what should 41 00:02:41,639 --> 00:02:45,200 Speaker 1: I do? What would you say as a result of 42 00:02:45,280 --> 00:02:48,960 Speaker 1: this revelation. The first thing that we would advise them 43 00:02:49,000 --> 00:02:51,880 Speaker 1: to do is to begin start looking at as part 44 00:02:51,880 --> 00:02:54,960 Speaker 1: of their third party risk management program to ensure that 45 00:02:55,000 --> 00:02:58,160 Speaker 1: they are actually looking at the security of the hardware. 46 00:02:58,919 --> 00:03:01,560 Speaker 1: I have been in many differ and corporate security programs, 47 00:03:01,639 --> 00:03:04,560 Speaker 1: in very very few of them actually look at the 48 00:03:04,600 --> 00:03:09,040 Speaker 1: security of the hardware. It's usually implicitly trust. In right, 49 00:03:09,120 --> 00:03:12,160 Speaker 1: the chip comes from manufacturer X, I don't even look 50 00:03:12,200 --> 00:03:13,760 Speaker 1: at it. I just trust that it will be there 51 00:03:13,840 --> 00:03:18,919 Speaker 1: securely in just directly, how do you do this? How 52 00:03:18,919 --> 00:03:20,399 Speaker 1: do you do it? I mean, do you actually take 53 00:03:20,440 --> 00:03:22,840 Speaker 1: the box apart and look at the original design and 54 00:03:22,880 --> 00:03:27,280 Speaker 1: match what's there with the original design. Most corporate security 55 00:03:27,280 --> 00:03:29,800 Speaker 1: programs do not have the technical resources to do this. 56 00:03:30,240 --> 00:03:33,920 Speaker 1: What's been reported, especially back in right with Amazon Web 57 00:03:33,960 --> 00:03:37,280 Speaker 1: Services that allegedly found this, they actually didn't even have 58 00:03:37,400 --> 00:03:41,160 Speaker 1: the expertise. Allegedly, they sourced this out to a hardware 59 00:03:41,200 --> 00:03:44,000 Speaker 1: security firm that found this. Right, and we need to 60 00:03:44,000 --> 00:03:46,680 Speaker 1: give major kudos to AWS for finding this if in 61 00:03:46,720 --> 00:03:49,680 Speaker 1: fact this is true. Um apportedly they were the only 62 00:03:49,680 --> 00:03:51,360 Speaker 1: ones that found this, and then of course this went 63 00:03:51,400 --> 00:03:54,240 Speaker 1: to other companies, but absolutely if somebody called me today 64 00:03:54,240 --> 00:03:56,760 Speaker 1: and they were asking what should we do, they need 65 00:03:56,760 --> 00:04:00,280 Speaker 1: to immediately invoke a hardware security firm, because more than 66 00:04:00,360 --> 00:04:03,840 Speaker 1: likely they do not have this expertise in house. I 67 00:04:03,880 --> 00:04:06,880 Speaker 1: guess one thing that I'm struck by is what don't 68 00:04:06,960 --> 00:04:09,520 Speaker 1: we know as far as what's been hacked and what 69 00:04:09,880 --> 00:04:13,160 Speaker 1: has already um, you know, been infiltrated in some way 70 00:04:13,280 --> 00:04:16,200 Speaker 1: or another. I mean, do you think that the sort 71 00:04:16,240 --> 00:04:19,520 Speaker 1: of infiltration not just by China but other foreign nations 72 00:04:19,600 --> 00:04:23,360 Speaker 1: as well, into US check is much broader than people 73 00:04:23,400 --> 00:04:26,720 Speaker 1: could ever begin to imagine? Well, you have to remember, right, 74 00:04:26,760 --> 00:04:29,599 Speaker 1: I mean we're talking about super micro, a legendly right, 75 00:04:29,640 --> 00:04:33,080 Speaker 1: this is the company that supposedly the People's Liberation Army 76 00:04:33,360 --> 00:04:38,560 Speaker 1: of China supposedly infiltrated. They produce a great number of 77 00:04:38,600 --> 00:04:42,440 Speaker 1: the world's motherboards, right, I remember motherboards there in everything 78 00:04:42,560 --> 00:04:45,000 Speaker 1: right there, and everything from m r s too, special 79 00:04:45,000 --> 00:04:48,440 Speaker 1: purchase computers to weapons systems. We don't know at this 80 00:04:48,520 --> 00:04:52,279 Speaker 1: time how how many systems this actually got into, but 81 00:04:52,360 --> 00:04:54,680 Speaker 1: if it did, we have got some very serious things 82 00:04:54,680 --> 00:04:58,200 Speaker 1: to look at in the coming days. What kinds of 83 00:04:58,440 --> 00:05:02,760 Speaker 1: effort do you believe that the private sector has already implemented, 84 00:05:02,839 --> 00:05:06,120 Speaker 1: if any, in order to work with the US government 85 00:05:06,480 --> 00:05:11,240 Speaker 1: to prevent these kinds of infiltrations at this time. I mean, 86 00:05:11,279 --> 00:05:14,799 Speaker 1: from what I have seen, again, most corporate security programs 87 00:05:15,080 --> 00:05:18,960 Speaker 1: really don't have much expertise when it comes to hardware security. 88 00:05:19,279 --> 00:05:20,880 Speaker 1: I think what we're going to see in the coming 89 00:05:20,960 --> 00:05:23,520 Speaker 1: days and months is that there will be probably an 90 00:05:23,520 --> 00:05:26,240 Speaker 1: expansion and I think just the public interest in this 91 00:05:26,600 --> 00:05:29,719 Speaker 1: because you know, this goes very broad right again, computers 92 00:05:29,800 --> 00:05:34,200 Speaker 1: run everything these days, from voting machines right to mobile phones, 93 00:05:34,360 --> 00:05:37,360 Speaker 1: et cetera. It's going to get very very broad and 94 00:05:37,520 --> 00:05:40,080 Speaker 1: right now. You know, again, it's been reported that this 95 00:05:40,160 --> 00:05:43,160 Speaker 1: is still part of an ongoing top secret probe. So 96 00:05:43,200 --> 00:05:45,039 Speaker 1: we may not get a lot of answers now, but 97 00:05:45,080 --> 00:05:47,200 Speaker 1: I can guarantee you in the coming days, this is 98 00:05:47,240 --> 00:05:49,440 Speaker 1: something that's going to have a lot of attention, just 99 00:05:49,480 --> 00:05:52,800 Speaker 1: like election security. Matt, just real quick here, I'm wondering, 100 00:05:52,839 --> 00:05:55,000 Speaker 1: do you think that the US has the capacity to 101 00:05:55,839 --> 00:05:58,599 Speaker 1: generate to produce some of the parts necessary and motherboards 102 00:05:58,680 --> 00:06:02,320 Speaker 1: necessary for our computers. I think we do. We definitely 103 00:06:02,360 --> 00:06:04,960 Speaker 1: have the technology to do it. Now. Again, we're talking 104 00:06:04,960 --> 00:06:08,400 Speaker 1: about output the ability to manufacture this. That could take 105 00:06:08,440 --> 00:06:10,960 Speaker 1: a while for that to come online. But I think 106 00:06:11,040 --> 00:06:12,640 Speaker 1: you know the other thing that's really important here, and 107 00:06:12,640 --> 00:06:14,880 Speaker 1: I guess this just might be the bottom line for this. 108 00:06:15,279 --> 00:06:17,760 Speaker 1: You need to remember motherboards, these kind of chips. They're 109 00:06:17,760 --> 00:06:20,880 Speaker 1: in everything from voting machines to mobile phones and m ris. 110 00:06:21,320 --> 00:06:24,960 Speaker 1: And again this was only once talked about as being hypothetical, 111 00:06:25,200 --> 00:06:28,200 Speaker 1: but now allegedly it's become a reality. So companies need 112 00:06:28,240 --> 00:06:31,600 Speaker 1: to immediately step up their third party risk management programs 113 00:06:31,839 --> 00:06:34,680 Speaker 1: and to begin to really dig deeply into not only 114 00:06:34,960 --> 00:06:38,280 Speaker 1: software development, but now hardware as well. I really sure 115 00:06:38,320 --> 00:06:41,080 Speaker 1: that this is only the beginning. Thank you very much 116 00:06:41,160 --> 00:06:44,360 Speaker 1: for being with us. Matt Chiandi is the vice president 117 00:06:44,400 --> 00:06:49,360 Speaker 1: and chief information security officer for Redlock. They are based 118 00:06:49,440 --> 00:06:54,920 Speaker 1: in Philadelphia, and the topic is hacking and infiltration of 119 00:06:55,000 --> 00:07:10,320 Speaker 1: hardware systems in the United States. The topic is trade 120 00:07:10,560 --> 00:07:14,239 Speaker 1: and the effect on the industry that brings you many 121 00:07:14,440 --> 00:07:18,080 Speaker 1: of the products that you enjoy, such as shoes and 122 00:07:18,240 --> 00:07:22,360 Speaker 1: clothing and various apparel items. Because the final tariff list 123 00:07:22,440 --> 00:07:25,040 Speaker 1: that the President Donald Trump's has put together along with 124 00:07:25,120 --> 00:07:30,560 Speaker 1: his trade representative for China includes textiles and many of 125 00:07:30,600 --> 00:07:32,840 Speaker 1: the products that are used in the United States that 126 00:07:32,920 --> 00:07:36,200 Speaker 1: then go into various types of apparel. Here to help 127 00:07:36,280 --> 00:07:39,160 Speaker 1: us understand the topic is Edward Hertzman. He is the 128 00:07:39,200 --> 00:07:43,080 Speaker 1: founder and the president of Sourcing Journal. Edward, thanks very 129 00:07:43,160 --> 00:07:46,240 Speaker 1: much for coming into the studio. Can you just describe 130 00:07:46,280 --> 00:07:50,240 Speaker 1: for people the role that China plays currently in the 131 00:07:50,360 --> 00:07:55,400 Speaker 1: supply chain for let's say the apparel industry. Well, China 132 00:07:55,560 --> 00:08:00,480 Speaker 1: is has a huge role in the apparel and footwear 133 00:08:00,480 --> 00:08:03,520 Speaker 1: industry here in America. Just to put it roughly into 134 00:08:03,520 --> 00:08:07,160 Speaker 1: some numbers, about thirty three of apparel coming into this 135 00:08:07,240 --> 00:08:11,160 Speaker 1: country is manufactured in China, and about fifty to sixty 136 00:08:11,280 --> 00:08:14,080 Speaker 1: percent the numbers could even be closer to seventy this 137 00:08:14,160 --> 00:08:17,560 Speaker 1: year of all footwear imported into America are coming out 138 00:08:17,560 --> 00:08:22,200 Speaker 1: of China. UM if twenty billion dollars of apparel came 139 00:08:22,240 --> 00:08:25,000 Speaker 1: from China this past year. In two thousand and seventeen, 140 00:08:25,840 --> 00:08:28,520 Speaker 1: UH India, which is also a mega player in the market, 141 00:08:28,920 --> 00:08:33,840 Speaker 1: UH exported four point five billion into America. So that 142 00:08:33,880 --> 00:08:36,199 Speaker 1: shows you how vast of a difference and how large 143 00:08:36,200 --> 00:08:39,000 Speaker 1: of an advantage China has in this market. So I 144 00:08:39,080 --> 00:08:41,040 Speaker 1: just before we get into some of the recent trade 145 00:08:41,040 --> 00:08:43,680 Speaker 1: agreements that we've struck. I'm wondering the tariffs that we've 146 00:08:43,720 --> 00:08:49,080 Speaker 1: seen so far implemented, UH, particularly in this space on China, 147 00:08:49,400 --> 00:08:53,559 Speaker 1: do you expect those to reduce the proportion of apparel 148 00:08:53,720 --> 00:08:57,200 Speaker 1: and footwear that comes here from China. Well as it 149 00:08:57,280 --> 00:09:00,280 Speaker 1: stands today, UM, the majority of the tower that have 150 00:09:00,360 --> 00:09:04,040 Speaker 1: been put into place are not affecting apparel and footwear. 151 00:09:04,360 --> 00:09:07,600 Speaker 1: The concern that that the industry has is that UM, 152 00:09:07,720 --> 00:09:10,439 Speaker 1: the next round which he is threatening of two hundred 153 00:09:10,600 --> 00:09:14,280 Speaker 1: seventy five billion, which would basically include all five million 154 00:09:14,320 --> 00:09:16,720 Speaker 1: plus five hundred billion plus coming out of China, would 155 00:09:16,760 --> 00:09:20,200 Speaker 1: have to include at that point apparel and footwear, and therefore, 156 00:09:20,840 --> 00:09:25,120 Speaker 1: UM people are scrambling to figure figure out contingency plans. UM. 157 00:09:25,200 --> 00:09:27,960 Speaker 1: The harsh reality here is, since China has so much 158 00:09:28,000 --> 00:09:30,920 Speaker 1: market share and it's such a vertically integrated country, meaning 159 00:09:30,960 --> 00:09:33,920 Speaker 1: that they not only sold the garments, they produced the fibers, 160 00:09:33,920 --> 00:09:36,640 Speaker 1: the fabric, you know, the raw materials, it's gonna be 161 00:09:36,760 --> 00:09:39,959 Speaker 1: very very difficult for people to move and a short 162 00:09:40,000 --> 00:09:41,680 Speaker 1: period of time and even in a long period of 163 00:09:41,679 --> 00:09:44,840 Speaker 1: time to these outside countries, just because whether it's Vietnam 164 00:09:45,040 --> 00:09:47,400 Speaker 1: or in the year, or Pakistan or Cambodia. They just 165 00:09:47,440 --> 00:09:51,040 Speaker 1: don't have the capacity available to to make up the 166 00:09:51,120 --> 00:09:53,760 Speaker 1: market share that China has, and there's gonna be baked 167 00:09:53,760 --> 00:09:56,600 Speaker 1: in inflation into the system. So well as a rush 168 00:09:56,600 --> 00:10:01,280 Speaker 1: to these countries. Being that there's limited capacity, they these 169 00:10:01,320 --> 00:10:04,040 Speaker 1: countries are going to charge more money and therefore, whether 170 00:10:04,080 --> 00:10:06,800 Speaker 1: it's China or another country, the prices are going to 171 00:10:06,840 --> 00:10:09,720 Speaker 1: go up at the factory level. In looking at things 172 00:10:09,920 --> 00:10:12,960 Speaker 1: like air freight demand global air freight, what is the 173 00:10:13,000 --> 00:10:17,360 Speaker 1: trend right now? Well, you know, speed to market has 174 00:10:17,360 --> 00:10:19,400 Speaker 1: been top of mind for everyone right now. You know, 175 00:10:19,400 --> 00:10:22,520 Speaker 1: we like the study models like Indie TEGs, Era, and 176 00:10:22,559 --> 00:10:24,800 Speaker 1: what makes them so successful is their ability to get 177 00:10:24,800 --> 00:10:28,719 Speaker 1: goods into the market very quickly, reduce inventory liability, get 178 00:10:28,720 --> 00:10:31,679 Speaker 1: goods into the market quickly. That allows them to react 179 00:10:32,480 --> 00:10:34,760 Speaker 1: if things are working, and if it's not working, their 180 00:10:34,800 --> 00:10:37,440 Speaker 1: inventory liability is less as it's not as you know, 181 00:10:37,480 --> 00:10:40,040 Speaker 1: it's not as large. So one of the trends that 182 00:10:40,080 --> 00:10:44,040 Speaker 1: we're seeing is while it's more expensive upfront air allows 183 00:10:44,120 --> 00:10:46,040 Speaker 1: us to react very quickly. We don't have to wait 184 00:10:46,080 --> 00:10:49,079 Speaker 1: for a you know, a twenty day boat to get 185 00:10:49,120 --> 00:10:52,199 Speaker 1: stuff in, So it's we're seeing more of a trend 186 00:10:52,400 --> 00:10:55,440 Speaker 1: as it applies to speed to market. Um, people are 187 00:10:55,520 --> 00:10:57,959 Speaker 1: trying to utilize that as a means to get product 188 00:10:58,040 --> 00:10:59,920 Speaker 1: in quicker. All right, So let's let's get to the 189 00:11:00,240 --> 00:11:04,040 Speaker 1: trade agreement that we recently struck with Mexico, the US 190 00:11:04,160 --> 00:11:07,160 Speaker 1: and Canada. Uh. Some people are saying their aspects of 191 00:11:07,160 --> 00:11:09,679 Speaker 1: it that are more free trade act parts of it 192 00:11:09,720 --> 00:11:13,040 Speaker 1: that are more protectionist. Where do you stand? What do 193 00:11:13,080 --> 00:11:16,959 Speaker 1: you think the retail industry will stand when this all 194 00:11:17,000 --> 00:11:21,040 Speaker 1: shakes out, will be in a better position or worse? So, UM, 195 00:11:21,080 --> 00:11:23,920 Speaker 1: there's a pro and eicon to this recent agreement. So 196 00:11:23,960 --> 00:11:26,720 Speaker 1: it's now no longer NAFTA, it's the U S m 197 00:11:26,760 --> 00:11:32,400 Speaker 1: c A, the United States Mexico. I can't. I can't 198 00:11:32,400 --> 00:11:34,760 Speaker 1: get this acronym down U S m c A. So 199 00:11:34,960 --> 00:11:38,320 Speaker 1: United States, Mexico China agreement. I think that's I think 200 00:11:38,360 --> 00:11:41,760 Speaker 1: that's it, UM on a on a high level. The 201 00:11:41,760 --> 00:11:44,880 Speaker 1: the the positive is that it shows that Trump is 202 00:11:44,920 --> 00:11:48,360 Speaker 1: not completely against global trade policy and global trade. So 203 00:11:48,520 --> 00:11:50,800 Speaker 1: he is, you know, maybe the bark is a little 204 00:11:50,800 --> 00:11:53,080 Speaker 1: bit bigger than the bite. He did not completely dismantle 205 00:11:53,120 --> 00:11:56,719 Speaker 1: this agreement. But if we get into the nuances of it. UM. 206 00:11:56,840 --> 00:11:58,480 Speaker 1: There's a little bit that we have to we have 207 00:11:58,520 --> 00:12:00,640 Speaker 1: to realize here is that he's changed aaging some of 208 00:12:00,720 --> 00:12:04,320 Speaker 1: the conditions of the agreement. So if you're manufacturing, and 209 00:12:04,320 --> 00:12:07,680 Speaker 1: it's really going to impact auto and apparel the most. 210 00:12:08,000 --> 00:12:13,320 Speaker 1: So if you're looking at the apparel industry, UM, the sewing, thread, 211 00:12:13,480 --> 00:12:16,320 Speaker 1: the pockets, the fabric all have to come from one 212 00:12:16,400 --> 00:12:18,880 Speaker 1: of the countries that are part of this agreement. And 213 00:12:18,960 --> 00:12:22,760 Speaker 1: if we look at Mexico largely it's a CMT based country, 214 00:12:23,000 --> 00:12:25,280 Speaker 1: a lot of the fabric or or components may be 215 00:12:25,360 --> 00:12:28,760 Speaker 1: imported in stitch there and then sewn into America. So 216 00:12:28,800 --> 00:12:30,959 Speaker 1: the question that a lot of people have is, well, 217 00:12:31,000 --> 00:12:33,600 Speaker 1: how quickly can a country like this become vertical? How 218 00:12:33,679 --> 00:12:37,880 Speaker 1: much of its UM accessories and inputs are they getting 219 00:12:37,880 --> 00:12:40,760 Speaker 1: from China UM, So, how much will be business as 220 00:12:40,880 --> 00:12:42,679 Speaker 1: usual and how much will be a scrambled to figure 221 00:12:42,679 --> 00:12:45,880 Speaker 1: out how to continue importing the goods into this country 222 00:12:46,040 --> 00:12:50,880 Speaker 1: duty free. In that same context, is it possible that 223 00:12:51,040 --> 00:12:55,240 Speaker 1: Mexico has the technology, the workforce, and the infrastructure to 224 00:12:55,320 --> 00:12:58,960 Speaker 1: let's say, be a much bigger player in the footwear industry? Well? Yes, 225 00:12:59,000 --> 00:13:02,440 Speaker 1: I mean apps really they have the workforce, they have 226 00:13:02,559 --> 00:13:06,880 Speaker 1: the skill set. UM. A company like Flex who works 227 00:13:06,880 --> 00:13:10,960 Speaker 1: with Nike has a factory there, you know they're they're 228 00:13:11,000 --> 00:13:14,640 Speaker 1: really leading the charge in some of the automation UM 229 00:13:14,679 --> 00:13:17,839 Speaker 1: in the footwear space. The question is not if, The 230 00:13:17,960 --> 00:13:21,280 Speaker 1: question is when and how quickly can can these countries 231 00:13:21,760 --> 00:13:26,080 Speaker 1: um position themselves to to be a larger player. And 232 00:13:26,200 --> 00:13:28,679 Speaker 1: if something happens in China or if if there is 233 00:13:29,080 --> 00:13:32,439 Speaker 1: a larger impact with Mexico, um, there is going to 234 00:13:32,520 --> 00:13:34,840 Speaker 1: be a period of time where there will be uh 235 00:13:35,040 --> 00:13:38,000 Speaker 1: a lot of chaos happening, because nothing happens overnight in 236 00:13:38,000 --> 00:13:40,680 Speaker 1: this industry. Just I'd love to get your thoughts quickly 237 00:13:40,840 --> 00:13:44,600 Speaker 1: on just in general. Given President Trump's current positions on trade, 238 00:13:45,240 --> 00:13:48,360 Speaker 1: imposing tariffs, and given the precedent that we have with 239 00:13:48,400 --> 00:13:51,840 Speaker 1: this new agreement with North America, do you think that 240 00:13:51,880 --> 00:13:54,479 Speaker 1: things are going to get substantially harder and more expensive 241 00:13:54,559 --> 00:13:58,959 Speaker 1: for retailers just based on the supply chains. Absolutely, there's 242 00:13:59,000 --> 00:14:03,760 Speaker 1: no way around it. So you know, there's there's there's 243 00:14:03,800 --> 00:14:07,480 Speaker 1: not an anonymous agreement on this, but most of us 244 00:14:07,520 --> 00:14:12,480 Speaker 1: believe that he will impose the balance two billion in tariffs, 245 00:14:12,520 --> 00:14:15,520 Speaker 1: which therefore will impact all apparel and textile coming out 246 00:14:15,520 --> 00:14:20,040 Speaker 1: of China. If that's the case, um anywhere from prices 247 00:14:20,040 --> 00:14:22,200 Speaker 1: of goods in order to maintain the current margin and 248 00:14:22,280 --> 00:14:25,560 Speaker 1: retail will have to go up ten to just to 249 00:14:25,640 --> 00:14:29,800 Speaker 1: keep the status quo. Companies like UM, Walmart, and Gap 250 00:14:29,840 --> 00:14:32,440 Speaker 1: have already been public in saying that they're going to 251 00:14:32,480 --> 00:14:35,920 Speaker 1: have to raise prices in order to uh, you know, 252 00:14:36,000 --> 00:14:40,000 Speaker 1: incorporate these increased tariffs, you know, especially for lower margin 253 00:14:40,120 --> 00:14:43,280 Speaker 1: retailers and brands. There's no way around it. Edward Hurtsman, 254 00:14:43,320 --> 00:14:45,120 Speaker 1: thank you so much for being with us. Thank you. 255 00:14:56,240 --> 00:15:01,280 Speaker 1: Chinese hackers have implanted tiny micro chip since servers that 256 00:15:01,440 --> 00:15:04,400 Speaker 1: made their way into the data centers of some of 257 00:15:04,400 --> 00:15:08,920 Speaker 1: the world's biggest companies, including Amazon and Apple. It's all 258 00:15:08,960 --> 00:15:13,040 Speaker 1: according to an investigation that was conducted by Bloomberg business Week, 259 00:15:13,440 --> 00:15:17,040 Speaker 1: and it's important to note that in emailed statements, Amazon, Apple, 260 00:15:17,200 --> 00:15:20,040 Speaker 1: and another company mentioned in this story, super Micro, have 261 00:15:20,120 --> 00:15:25,120 Speaker 1: disputed summaries of Bloomberg BusinessWeek's reporting. Here to tell us 262 00:15:25,160 --> 00:15:29,000 Speaker 1: more about this story is Jeremy Keen, Bloomberg editor. Jeremy, 263 00:15:29,080 --> 00:15:31,680 Speaker 1: thank you very much for joining us. Can you maybe 264 00:15:31,720 --> 00:15:37,960 Speaker 1: describe for our listeners the genesis of this story certainly 265 00:15:38,200 --> 00:15:41,680 Speaker 1: UM so Jordan Robertson and Michael Riley, who report on 266 00:15:41,800 --> 00:15:46,880 Speaker 1: cybersecurity for US out of Washington. They starting with the tip, 267 00:15:47,080 --> 00:15:51,800 Speaker 1: they began researching the story, pursuing lead's they talked to. 268 00:15:52,920 --> 00:15:56,680 Speaker 1: Eventually the number reached into the triple figures, more than 269 00:15:56,720 --> 00:16:00,200 Speaker 1: a hundred people they spoke to, and then a core 270 00:16:00,240 --> 00:16:04,200 Speaker 1: group of about seventeen UM people who gave us a 271 00:16:04,280 --> 00:16:08,400 Speaker 1: window into the story. So let's talk about what the 272 00:16:08,440 --> 00:16:13,280 Speaker 1: actual issue is. There was a micro chip that some 273 00:16:13,360 --> 00:16:18,400 Speaker 1: of these big tech companies found in happenstance, Yes, tell 274 00:16:18,440 --> 00:16:21,640 Speaker 1: us about that. Well, so you know, most people, I 275 00:16:21,640 --> 00:16:25,240 Speaker 1: think are used to hearing about software hacking, where you know, 276 00:16:25,320 --> 00:16:28,520 Speaker 1: people use code to to get data out of out 277 00:16:28,520 --> 00:16:31,880 Speaker 1: of places, And this story is more about the technology 278 00:16:31,920 --> 00:16:37,800 Speaker 1: supply chain and how UM official sources tell us that 279 00:16:37,880 --> 00:16:41,560 Speaker 1: they UM that they were able to at the factory 280 00:16:41,640 --> 00:16:45,240 Speaker 1: level get a small micro chip into a server motherboard 281 00:16:46,080 --> 00:16:50,440 Speaker 1: operated at plants that were subcontractors to an American company 282 00:16:50,640 --> 00:16:53,400 Speaker 1: they being China. That China was able to sort of 283 00:16:53,800 --> 00:16:59,120 Speaker 1: get this micro chip into the motherboard right, and then people, 284 00:16:59,320 --> 00:17:01,360 Speaker 1: this is a very This company sells a lot of 285 00:17:01,360 --> 00:17:05,480 Speaker 1: server motherboards it goes into servers and those go into 286 00:17:05,560 --> 00:17:11,000 Speaker 1: data centers UM for for clouds uh. In this case, 287 00:17:11,320 --> 00:17:13,520 Speaker 1: a video streaming company was one of the ones that 288 00:17:13,560 --> 00:17:17,280 Speaker 1: we focused on UM and then into the data centers 289 00:17:17,320 --> 00:17:19,760 Speaker 1: run by larger entities, all right, Just to try to 290 00:17:19,800 --> 00:17:23,960 Speaker 1: condense it, just at least from my mind. In Amazon 291 00:17:24,080 --> 00:17:27,320 Speaker 1: was looking to take over a company called Elemental Technologies, 292 00:17:27,400 --> 00:17:30,360 Speaker 1: and as part of the due diligence that they were 293 00:17:30,400 --> 00:17:33,840 Speaker 1: doing to make this acquisition, they're based in Portland. This 294 00:17:34,000 --> 00:17:40,320 Speaker 1: is Elemental, they had to ship some of the servers 295 00:17:40,359 --> 00:17:43,159 Speaker 1: that the company used that was supplied by a company 296 00:17:43,200 --> 00:17:46,520 Speaker 1: called super Micro or super micro Computer. They're based in 297 00:17:46,560 --> 00:17:49,280 Speaker 1: San Jose. They take these servers they shipped into a 298 00:17:49,359 --> 00:17:52,040 Speaker 1: third party to do an investigation, and what they find 299 00:17:52,200 --> 00:17:54,960 Speaker 1: on the board on the motherboard here for these servers 300 00:17:55,359 --> 00:17:57,639 Speaker 1: is a chip that was not part of the original design, 301 00:17:57,760 --> 00:18:02,560 Speaker 1: right exactly, yes, And what does this chip allow whoever 302 00:18:02,640 --> 00:18:05,840 Speaker 1: put it there? In this case, we maintain the Chinese 303 00:18:06,480 --> 00:18:09,280 Speaker 1: what does it allow you to do? So I want 304 00:18:09,280 --> 00:18:11,400 Speaker 1: to be clear that it's not that we're saying that 305 00:18:11,920 --> 00:18:14,600 Speaker 1: there's evidence that user data was taken or anything like that, 306 00:18:14,640 --> 00:18:18,080 Speaker 1: but they what it does, is it gives them deep 307 00:18:18,200 --> 00:18:20,720 Speaker 1: level access to a computer. So at the at the 308 00:18:20,840 --> 00:18:25,400 Speaker 1: level where UM an administrator might be able to access 309 00:18:25,440 --> 00:18:29,479 Speaker 1: the system, that's what you get. So it's possible that 310 00:18:29,480 --> 00:18:33,359 Speaker 1: that an attacker could get into a system without a password, 311 00:18:33,840 --> 00:18:37,040 Speaker 1: look at different parts of the network, UM, and and 312 00:18:37,080 --> 00:18:40,600 Speaker 1: that that kind of thing. Okay, But Amazon reported this 313 00:18:40,800 --> 00:18:42,240 Speaker 1: right when they were they were looking to make this 314 00:18:42,280 --> 00:18:46,280 Speaker 1: acquisition developmental and they found this out, they went WHOA, 315 00:18:46,760 --> 00:18:50,160 Speaker 1: and they contacted the Department of Defense right right, And 316 00:18:50,200 --> 00:18:54,680 Speaker 1: our reporting suggests, uh, they contacted the authorities. We don't 317 00:18:55,040 --> 00:19:00,240 Speaker 1: know exactly um who who it was in this UM, 318 00:19:00,400 --> 00:19:07,239 Speaker 1: they did UM, so that this one out and the 319 00:19:07,240 --> 00:19:09,639 Speaker 1: the government already had some intelligence to suggest that this 320 00:19:09,680 --> 00:19:11,720 Speaker 1: had been going to happen, and at the point that 321 00:19:11,800 --> 00:19:16,000 Speaker 1: they learned that there had been a citing, they began 322 00:19:16,080 --> 00:19:18,600 Speaker 1: to investigate it more deeply, and we report on that 323 00:19:18,640 --> 00:19:20,639 Speaker 1: all right, So just sort of to give a sense 324 00:19:20,680 --> 00:19:24,200 Speaker 1: of what the implications here are, because this is actually massive, 325 00:19:24,520 --> 00:19:30,439 Speaker 1: the idea that China systematically implanted chips in the hardware 326 00:19:30,480 --> 00:19:33,840 Speaker 1: that ended up on computers from everywhere from the Pentagon 327 00:19:34,160 --> 00:19:37,560 Speaker 1: to the biggest technology companies, where they could basically have 328 00:19:37,640 --> 00:19:42,080 Speaker 1: a backdoor entrance to a lot of different computers has 329 00:19:42,680 --> 00:19:45,960 Speaker 1: huge and vast ranging implications. I'm just wondering. I mean, 330 00:19:46,359 --> 00:19:48,800 Speaker 1: from what you were getting a sense of when you 331 00:19:48,840 --> 00:19:51,720 Speaker 1: were talking with people, was this the reason why we're 332 00:19:51,720 --> 00:19:54,359 Speaker 1: having trade tensions with China? Is this the reason why 333 00:19:54,680 --> 00:19:57,679 Speaker 1: you know that the US government has been increasingly tense 334 00:19:57,760 --> 00:19:59,960 Speaker 1: with the nation. What's going on here? Well, our report 335 00:20:00,119 --> 00:20:03,159 Speaker 1: shows that it's certainly something that's been of concern. We 336 00:20:03,320 --> 00:20:06,280 Speaker 1: report that there was a there were meetings that took 337 00:20:06,280 --> 00:20:10,439 Speaker 1: place in several years ago at the high level that 338 00:20:11,040 --> 00:20:14,399 Speaker 1: in which it was technology companies were asked, can we 339 00:20:14,440 --> 00:20:19,240 Speaker 1: find a solution to this? Um? And no, no evidence 340 00:20:19,320 --> 00:20:22,919 Speaker 1: that we've found one has emerged yet. UM As to 341 00:20:23,000 --> 00:20:26,720 Speaker 1: what's going on, you know, behind behind the scenes, Uh, 342 00:20:26,840 --> 00:20:28,919 Speaker 1: we don't know the extent to which is a motivating factor, 343 00:20:28,960 --> 00:20:31,400 Speaker 1: but we do report that it's a reason for their concern. 344 00:20:31,800 --> 00:20:33,960 Speaker 1: All right, Jeremy Keene, thank you so much for being here. 345 00:20:34,119 --> 00:20:36,440 Speaker 1: This is not going to be a one day thing 346 00:20:36,560 --> 00:20:39,960 Speaker 1: because the implications here are pretty substantial. We don't know 347 00:20:40,000 --> 00:20:44,199 Speaker 1: whether China necessarily used this backdoor exit I believe to 348 00:20:44,400 --> 00:20:47,640 Speaker 1: access any information, but it does have pretty broad implications 349 00:20:47,720 --> 00:20:50,879 Speaker 1: for UH, the supply chains that we have with China 350 00:20:50,920 --> 00:20:53,320 Speaker 1: where they make a lot of this technological equipment, as 351 00:20:53,359 --> 00:20:57,080 Speaker 1: well as the ongoing tensions with respect to trade. Jeremy Keane, 352 00:20:57,160 --> 00:20:59,320 Speaker 1: thank you so much for being with us. Jeremy Keane 353 00:20:59,320 --> 00:21:02,720 Speaker 1: is Bloomberg editor who was working on this story that 354 00:21:02,840 --> 00:21:07,040 Speaker 1: was reported out over a year with interviews with hundreds 355 00:21:07,080 --> 00:21:09,440 Speaker 1: are actually more than a hundred individuals and Lisa brom 356 00:21:09,440 --> 00:21:11,680 Speaker 1: WIT's along with my co host Pim Fox, and this 357 00:21:11,800 --> 00:21:25,080 Speaker 1: is Bloomberg Markets. We turn our attention now to g 358 00:21:25,480 --> 00:21:28,960 Speaker 1: W Pharmaceuticals and I want to introduce the chief executive, 359 00:21:29,040 --> 00:21:32,720 Speaker 1: Justin go Over, and g W Pharmaceuticals is set to 360 00:21:32,800 --> 00:21:37,400 Speaker 1: launch it's cannabis drug after receiving a favorable drug classification 361 00:21:37,480 --> 00:21:42,080 Speaker 1: review from the Drug Enforcement Agency. It has been previously 362 00:21:42,440 --> 00:21:46,320 Speaker 1: approved by the US Food and Drug Administration. Justin go Over, 363 00:21:46,480 --> 00:21:49,439 Speaker 1: thanks for being with us. Tell us about the the 364 00:21:49,520 --> 00:21:52,159 Speaker 1: schedule for the launch of this cannabis drug and what 365 00:21:52,200 --> 00:21:55,359 Speaker 1: it's designed to do. Well, thank you for having me 366 00:21:55,480 --> 00:21:58,200 Speaker 1: on the show. So so, this drug is called Epidialects. 367 00:21:58,359 --> 00:22:03,440 Speaker 1: It's been approved by FDA for two forms of childhood 368 00:22:03,440 --> 00:22:06,840 Speaker 1: onset epilepsy, so these are patients with seizures that have 369 00:22:07,560 --> 00:22:11,320 Speaker 1: proven very difficult to control with existing anti epileptic drugs. 370 00:22:12,359 --> 00:22:16,400 Speaker 1: The drug is UH contains a molecule called cannaby dial 371 00:22:16,520 --> 00:22:19,359 Speaker 1: or CBD, which is a part of the marijuana plant 372 00:22:19,359 --> 00:22:22,160 Speaker 1: that does not make you high. And the product itself 373 00:22:22,200 --> 00:22:26,000 Speaker 1: has been standardized and formulated to f d A standards 374 00:22:26,040 --> 00:22:28,760 Speaker 1: to produce a medicine that can be prescribed by doctors, 375 00:22:29,040 --> 00:22:32,440 Speaker 1: reimbursed by insurers, and so on. So that medicine was 376 00:22:32,480 --> 00:22:35,119 Speaker 1: approved at the end of June m The d e 377 00:22:35,240 --> 00:22:39,000 Speaker 1: A had three months after the end of June to 378 00:22:39,160 --> 00:22:43,720 Speaker 1: put the product into a schedule. They did that about 379 00:22:43,720 --> 00:22:46,600 Speaker 1: a week ago. Now, um, it's the lowest form of 380 00:22:46,640 --> 00:22:53,600 Speaker 1: class restriction classification within the scheduling regulations, and the drug 381 00:22:53,640 --> 00:22:56,359 Speaker 1: will be available on prescription in about a month or so. 382 00:22:56,880 --> 00:22:59,760 Speaker 1: How does the price of the drug compare with other 383 00:23:00,400 --> 00:23:06,120 Speaker 1: anti epileptic medications. We've priced this medication such that it's 384 00:23:06,200 --> 00:23:10,280 Speaker 1: in line with the other branded anti epileptic drugs that 385 00:23:10,720 --> 00:23:16,399 Speaker 1: these patients use. So um, the philosophy behind that is is, 386 00:23:16,920 --> 00:23:20,959 Speaker 1: you know, we believe that obviously this isn't an innovation 387 00:23:21,000 --> 00:23:25,040 Speaker 1: of first in class therapy providing relief where other drugs 388 00:23:25,040 --> 00:23:27,320 Speaker 1: have failed. But with that, with all of that said, 389 00:23:27,480 --> 00:23:30,960 Speaker 1: we we we've taken a pricing approach which is essentially 390 00:23:30,960 --> 00:23:34,320 Speaker 1: to be in line with with the care that these 391 00:23:34,320 --> 00:23:39,520 Speaker 1: patients now receive. Justin you're also working on other types 392 00:23:39,640 --> 00:23:42,119 Speaker 1: of therapies, Can you give us a hint of your pipeline? 393 00:23:43,680 --> 00:23:48,680 Speaker 1: Certainly well At GW Pharmaceuticals, the company were founded actually 394 00:23:48,720 --> 00:23:53,040 Speaker 1: twenty years ago with the sole focus of looking at cannabinoids, 395 00:23:53,080 --> 00:23:59,360 Speaker 1: cannabinoids and molecules in the cannabis plant as potential pharmaceutical products. 396 00:23:59,400 --> 00:24:02,240 Speaker 1: So what I mean by that is not medical marijuana 397 00:24:02,280 --> 00:24:06,400 Speaker 1: and not sort of unstandardized, unregulated oils, but actually science 398 00:24:06,440 --> 00:24:10,560 Speaker 1: based solutions with formulations that have been manufactured appropriately and 399 00:24:10,640 --> 00:24:15,359 Speaker 1: taken through the FDA process. So, in addition to epilepsy, 400 00:24:15,920 --> 00:24:19,160 Speaker 1: our work so far suggests that cannabinoids have promise within 401 00:24:19,200 --> 00:24:24,480 Speaker 1: the field of multiple sclerosis, within pain, within psychiatric disease, 402 00:24:24,560 --> 00:24:29,000 Speaker 1: even oncology. So what we believe is that the approval 403 00:24:29,440 --> 00:24:33,760 Speaker 1: and rescheduling of epidialects is the epilepsi medicine really opens 404 00:24:33,880 --> 00:24:38,199 Speaker 1: up a brand new field for cannabinoids as therapeutics for 405 00:24:38,320 --> 00:24:41,439 Speaker 1: the future. And you know, we at GWC ourselves very 406 00:24:41,520 --> 00:24:45,560 Speaker 1: much as leaders in the field worldwide and and have 407 00:24:45,119 --> 00:24:48,119 Speaker 1: have real hopes now that a number of these future 408 00:24:48,160 --> 00:24:54,040 Speaker 1: medications in different therapeutic areas can realistically become available as 409 00:24:54,040 --> 00:24:57,600 Speaker 1: prescription medications in the future. And justin definitely a lot 410 00:24:57,600 --> 00:25:01,840 Speaker 1: of people are interested in the cannon by it based medications, 411 00:25:01,880 --> 00:25:04,240 Speaker 1: but there obviously is a lot of interest in medical 412 00:25:04,280 --> 00:25:07,480 Speaker 1: marijuana use because people think that maybe it will have 413 00:25:07,600 --> 00:25:11,080 Speaker 1: a direct tie to recreational use. And I'm wondering, is 414 00:25:11,119 --> 00:25:14,720 Speaker 1: there anything that you've seen with respect to the study 415 00:25:14,960 --> 00:25:18,280 Speaker 1: of marijuana and its potential effects that will make it 416 00:25:18,359 --> 00:25:21,119 Speaker 1: more palatable for the f D day, f d A 417 00:25:21,400 --> 00:25:26,000 Speaker 1: or the government to declassify it as an illegal drug. Well, 418 00:25:26,240 --> 00:25:31,159 Speaker 1: I think that the central approach and philosophy that underpins 419 00:25:31,160 --> 00:25:35,040 Speaker 1: our research is that when it comes to treating patients 420 00:25:35,119 --> 00:25:38,439 Speaker 1: who are sick, that the appropriate way to do that, 421 00:25:38,520 --> 00:25:42,320 Speaker 1: if at all possible, is through the utilization of prescription 422 00:25:42,400 --> 00:25:46,200 Speaker 1: medications that has been approved by the FDA. After all, 423 00:25:46,560 --> 00:25:48,480 Speaker 1: you know that that is what we are used to 424 00:25:48,720 --> 00:25:50,440 Speaker 1: in our day to day lives. When we go to 425 00:25:50,480 --> 00:25:53,120 Speaker 1: a physician, we expect to have a medication for which 426 00:25:53,160 --> 00:25:57,080 Speaker 1: we understand the dose thing, the safety profile, the efficacy 427 00:25:57,080 --> 00:25:59,879 Speaker 1: and so on. So you know, I think, um, the 428 00:26:00,600 --> 00:26:04,240 Speaker 1: impact of of of medical marijuana and its impact on 429 00:26:04,640 --> 00:26:10,000 Speaker 1: recreational uses A is a parallel U is a parallel discussion. 430 00:26:10,119 --> 00:26:12,480 Speaker 1: And I think what the f d A made a 431 00:26:12,560 --> 00:26:15,720 Speaker 1: point of saying, and the d e A reiterated it 432 00:26:15,840 --> 00:26:21,200 Speaker 1: last week, was that when FDA approved epidialects with specific medication, 433 00:26:21,280 --> 00:26:24,800 Speaker 1: they were not approving marijuana. They were not approving even 434 00:26:25,080 --> 00:26:30,119 Speaker 1: the molecule in various forms. Yeah, justin justin medication, justin 435 00:26:30,160 --> 00:26:32,760 Speaker 1: go For. We have to leave it there, unfortunately, really interesting, 436 00:26:32,840 --> 00:26:37,760 Speaker 1: justin go For, Chief executive of GW Pharmaceuticals, based in California. 437 00:26:37,800 --> 00:26:42,800 Speaker 1: Thank you so much for being with us. Thanks for 438 00:26:42,880 --> 00:26:45,520 Speaker 1: listening to the Bloomberg P and L podcast. You can 439 00:26:45,560 --> 00:26:49,399 Speaker 1: subscribe and listen to interviews at Apple Podcasts, SoundCloud, or 440 00:26:49,440 --> 00:26:52,919 Speaker 1: whatever podcast platform you prefer. I'm pim Fox. I'm on 441 00:26:52,960 --> 00:26:56,800 Speaker 1: Twitter at pim Fox. I'm on Twitter at Lisa Abramo. 442 00:26:56,920 --> 00:26:59,520 Speaker 1: It's one before the podcast. You can always catch us 443 00:26:59,520 --> 00:27:09,920 Speaker 1: worldwide ID on Bloomberg Radio. H