1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel Podcast. I'm Paul swing you, 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma wits 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 Penil 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 --> 00:00:23,279 Speaker 1: at Bloomberg dot com. Well, the Chinese trade delegation is 8 00:00:23,320 --> 00:00:25,640 Speaker 1: in Washington, d C. They are meeting with the US 9 00:00:25,720 --> 00:00:30,360 Speaker 1: delegation today and tomorrow. President Trump just tweeted out that 10 00:00:30,400 --> 00:00:33,960 Speaker 1: he will meet with Vice Premier Leo hey Uh tomorrow, 11 00:00:34,080 --> 00:00:35,960 Speaker 1: suggesting that there may be some light at the end 12 00:00:36,000 --> 00:00:38,199 Speaker 1: of this trade tunnel. To get the latest, there is 13 00:00:38,240 --> 00:00:41,440 Speaker 1: absolutely nobody better to speak to than Leland Miller. He 14 00:00:41,520 --> 00:00:44,320 Speaker 1: is the CEO of the China Basebook International Uh. He 15 00:00:44,400 --> 00:00:46,960 Speaker 1: joins us here on a Bloomberg Interactor Broker studio. So, Leland, 16 00:00:46,960 --> 00:00:48,440 Speaker 1: thanks so much for joining us on what could be 17 00:00:48,479 --> 00:00:51,640 Speaker 1: a very very important two days for the US and 18 00:00:51,840 --> 00:00:55,680 Speaker 1: China and the overall financial markets. What is your sense 19 00:00:56,040 --> 00:00:58,840 Speaker 1: of what would be a success here over the next 20 00:00:58,840 --> 00:01:02,320 Speaker 1: couple of days. I think expectations have been peeled back 21 00:01:02,480 --> 00:01:05,920 Speaker 1: dramatically over the last twelve to twenty four hours simply 22 00:01:05,959 --> 00:01:07,760 Speaker 1: because there's been a lot of bad news. I mean, 23 00:01:07,800 --> 00:01:11,280 Speaker 1: earlier this week you saw sanctions against Chinese companies and 24 00:01:11,360 --> 00:01:14,679 Speaker 1: visa restrictions on Chinese individuals. Uh. And then you know 25 00:01:14,840 --> 00:01:17,480 Speaker 1: the threat that Chinese we're gonna leave early, and and 26 00:01:17,480 --> 00:01:19,720 Speaker 1: and so it's been nothing but bad news. But look 27 00:01:19,800 --> 00:01:22,560 Speaker 1: that a lot of what's happening with the administration on 28 00:01:22,640 --> 00:01:25,480 Speaker 1: China is getting more aggressive. On the other hand, they 29 00:01:25,560 --> 00:01:29,399 Speaker 1: still have a desire to reach a deal on trade, 30 00:01:29,760 --> 00:01:33,600 Speaker 1: a medium mini deal on trade in twenty nineteen. If 31 00:01:33,640 --> 00:01:35,680 Speaker 1: they can get what they want, which means more than 32 00:01:35,680 --> 00:01:38,319 Speaker 1: agg purchases. That they need the Chinese to start delivering 33 00:01:38,640 --> 00:01:41,199 Speaker 1: on some of the substantive commitments from the May text. 34 00:01:41,880 --> 00:01:45,280 Speaker 1: But that's where this is going, tariff punts and pullbacks 35 00:01:45,319 --> 00:01:48,880 Speaker 1: and return for some substitive concessions and some abus. Here's 36 00:01:48,880 --> 00:01:50,920 Speaker 1: the reason why there's a lot of confusion right now. 37 00:01:51,080 --> 00:01:54,400 Speaker 1: We're getting mixed messages. On one hand, it seems like 38 00:01:55,040 --> 00:01:58,320 Speaker 1: the US is kind of drilling down and trying to 39 00:01:58,360 --> 00:02:02,120 Speaker 1: get some serious concessions uh and and going after even 40 00:02:02,160 --> 00:02:04,520 Speaker 1: just the investment the flows of capital from the US 41 00:02:04,640 --> 00:02:06,920 Speaker 1: into China. And on the other hand, it looks like 42 00:02:07,160 --> 00:02:11,320 Speaker 1: we're more amenable to some sort of agricultural deal. What 43 00:02:11,360 --> 00:02:13,799 Speaker 1: do we make of this sort of push pull, Well, 44 00:02:13,840 --> 00:02:16,399 Speaker 1: there really are two tracks that are forming with an administration. 45 00:02:16,480 --> 00:02:18,440 Speaker 1: This has always been true, but I think right now 46 00:02:18,480 --> 00:02:20,399 Speaker 1: what you're seeing is that people focused on the national 47 00:02:20,440 --> 00:02:23,800 Speaker 1: security side are really digging in and getting more aggressive. 48 00:02:23,840 --> 00:02:28,920 Speaker 1: And you are seeing more um more moves against Chinese 49 00:02:28,960 --> 00:02:32,240 Speaker 1: companies and against Chinese individuals, and and you are also 50 00:02:32,360 --> 00:02:36,600 Speaker 1: seeing um things that on the pension money side, US 51 00:02:36,639 --> 00:02:39,080 Speaker 1: gunment pension money is being looked at very closely in 52 00:02:39,120 --> 00:02:41,000 Speaker 1: terms of how to wool that away from going into 53 00:02:41,080 --> 00:02:43,880 Speaker 1: Chinese companies and and then into the into the p 54 00:02:44,000 --> 00:02:46,160 Speaker 1: l A as they would as they would say um. 55 00:02:46,200 --> 00:02:48,239 Speaker 1: On the other hand, trade is being handled a little 56 00:02:48,240 --> 00:02:50,840 Speaker 1: bit differently, and there is a belief within the White 57 00:02:50,840 --> 00:02:55,600 Speaker 1: House that the best case scenario for President Trump and 58 00:02:55,639 --> 00:02:58,919 Speaker 1: his re election is to scale the terrorifts back to 59 00:02:58,919 --> 00:03:01,960 Speaker 1: to sort of cruise through at two or fifty billion 60 00:03:01,960 --> 00:03:03,880 Speaker 1: if they can do that, so putting a lot of 61 00:03:03,880 --> 00:03:06,600 Speaker 1: pressure on the Chinese, but not too much pressure to 62 00:03:06,680 --> 00:03:09,280 Speaker 1: hurt the U s economy. Getting those agg buys in return, 63 00:03:09,560 --> 00:03:11,799 Speaker 1: and that's the sweet spot. It doesn't mean they can 64 00:03:11,840 --> 00:03:13,840 Speaker 1: get that. They're not just going to give that away, 65 00:03:13,919 --> 00:03:15,880 Speaker 1: but that's what they're angling for. If they can get 66 00:03:15,919 --> 00:03:19,280 Speaker 1: some substantive concessions back from the Chinese. Well, I think 67 00:03:19,360 --> 00:03:21,720 Speaker 1: the one of the issues is October and the tariffs, 68 00:03:21,720 --> 00:03:24,720 Speaker 1: so they're scheduled to go up again. Is that something 69 00:03:24,760 --> 00:03:27,720 Speaker 1: thing is on the table today and tomorrow, Let's maybe 70 00:03:28,160 --> 00:03:31,560 Speaker 1: table those things. Yeah, the October terrorists are misunderstood and 71 00:03:31,560 --> 00:03:35,400 Speaker 1: they're probably the trickiest part of this entire discussion. December, 72 00:03:35,760 --> 00:03:37,880 Speaker 1: the White House is laser focused on trying to get 73 00:03:37,960 --> 00:03:40,440 Speaker 1: rid of December tariffs because I think they they there 74 00:03:40,440 --> 00:03:42,240 Speaker 1: can most people are convinced that they'd be bad for 75 00:03:42,280 --> 00:03:44,880 Speaker 1: the U S. Economy. September is also on the table. 76 00:03:45,040 --> 00:03:47,640 Speaker 1: It's it's part of the discussion to pull back on 77 00:03:47,720 --> 00:03:51,760 Speaker 1: September tariffs if the US can get the concessions on 78 00:03:52,160 --> 00:03:55,480 Speaker 1: i P. But October is very interesting because the U 79 00:03:55,560 --> 00:03:58,600 Speaker 1: S side is not very focused on October, but markets are. 80 00:03:58,800 --> 00:04:01,720 Speaker 1: Markets are looking at the October tariff hikes as this 81 00:04:01,960 --> 00:04:05,200 Speaker 1: bell weather for whether the US is going to move 82 00:04:05,240 --> 00:04:07,760 Speaker 1: forward with a potential deal. Or a deal is dead, 83 00:04:07,920 --> 00:04:09,520 Speaker 1: and I think it's a mistake because there's just not 84 00:04:09,640 --> 00:04:12,680 Speaker 1: enough attention being put on those October terraces right now. 85 00:04:12,840 --> 00:04:15,040 Speaker 1: They're a minor the a minor issue for the White House, 86 00:04:15,600 --> 00:04:17,640 Speaker 1: but they're huge issue for markets, and that's where you 87 00:04:17,640 --> 00:04:20,040 Speaker 1: could have some miscommunications. There seems to be, though, a 88 00:04:20,080 --> 00:04:24,039 Speaker 1: disconnect also with the market looking at a trade deal 89 00:04:24,240 --> 00:04:27,599 Speaker 1: as sort of a comprehensive one track thing, and you're 90 00:04:27,600 --> 00:04:30,599 Speaker 1: talking about a two track issue. I'm wondering how China 91 00:04:30,720 --> 00:04:34,120 Speaker 1: looks at the US is two track approach. Can they 92 00:04:34,240 --> 00:04:37,359 Speaker 1: isolate some of the capital flow issues and some of 93 00:04:37,400 --> 00:04:40,560 Speaker 1: the I P issues completely while they deal with sort 94 00:04:40,600 --> 00:04:44,400 Speaker 1: of immediate tariffs and agricultural purchases in order to get 95 00:04:44,400 --> 00:04:46,000 Speaker 1: a narrow deal, or are they going to be put 96 00:04:46,000 --> 00:04:47,839 Speaker 1: off by some of the other demands and and sort 97 00:04:47,880 --> 00:04:51,240 Speaker 1: of crackdowns. I think they're definitely put off by it, 98 00:04:51,279 --> 00:04:53,880 Speaker 1: but I think they can also cease some reap some 99 00:04:53,960 --> 00:04:57,320 Speaker 1: rewards from it. So while this trade talk, these trade 100 00:04:57,360 --> 00:05:00,560 Speaker 1: talks are going on, we've also heard word that magically 101 00:05:00,600 --> 00:05:03,400 Speaker 1: we're going to start seeing some Hawaiwi spatial licenses. Now 102 00:05:03,680 --> 00:05:06,039 Speaker 1: Huawei has been separated from the trade talks, the Chinese 103 00:05:06,080 --> 00:05:08,279 Speaker 1: agreed to do that. Everyone agreed with a good idea, 104 00:05:08,760 --> 00:05:12,279 Speaker 1: and magically, even though the things are connected, you're seeing 105 00:05:12,279 --> 00:05:14,479 Speaker 1: some movement on Huawei, while the trade talks have some 106 00:05:14,520 --> 00:05:17,280 Speaker 1: potential to move forward. So what you do is your 107 00:05:17,320 --> 00:05:19,799 Speaker 1: ring fence these things. But I think the Chinese understand 108 00:05:19,920 --> 00:05:22,760 Speaker 1: that good things can happen for them if they make 109 00:05:22,760 --> 00:05:25,359 Speaker 1: President Trump happy, and bad things will probably happen if 110 00:05:25,400 --> 00:05:28,520 Speaker 1: they don't. And so a lot of this is is 111 00:05:29,040 --> 00:05:33,400 Speaker 1: whether things are formally connected versus everything is informally connected 112 00:05:33,400 --> 00:05:37,320 Speaker 1: in some way twenty seconds, what's the probability of us 113 00:05:37,480 --> 00:05:41,159 Speaker 1: seeing some sort of deal, however narrow within the next 114 00:05:41,160 --> 00:05:43,560 Speaker 1: couple of days. I think you. I don't think you'll 115 00:05:43,560 --> 00:05:46,000 Speaker 1: see a deal, But what you could see is the 116 00:05:46,040 --> 00:05:48,279 Speaker 1: outline of what would be the White House and the 117 00:05:48,360 --> 00:05:51,760 Speaker 1: Chinese understanding of what a deal would be for along 118 00:05:51,800 --> 00:05:54,200 Speaker 1: the lines of what I've already explained. But I think 119 00:05:54,240 --> 00:05:57,120 Speaker 1: that is more much more likely than than gloomy markets 120 00:05:57,120 --> 00:05:59,960 Speaker 1: have been expecting for the last day or so. Of course, 121 00:06:00,520 --> 00:06:03,600 Speaker 1: we saw something akin to that in February, and uh, well, 122 00:06:03,800 --> 00:06:05,880 Speaker 1: most we saw where that went. Leland Miller, thank you 123 00:06:05,920 --> 00:06:07,960 Speaker 1: so much for being with us. Leland Miller, chief executive 124 00:06:07,960 --> 00:06:10,680 Speaker 1: officer of China bege Book International, with an incredible view 125 00:06:11,000 --> 00:06:14,000 Speaker 1: into everything having to do with the trade negotiations as 126 00:06:14,000 --> 00:06:17,120 Speaker 1: well as frankly the Chinese economy. He's been prescient on 127 00:06:17,320 --> 00:06:19,760 Speaker 1: how the slowdown has accelerated more than some of the 128 00:06:19,800 --> 00:06:38,680 Speaker 1: official numbers have been suggesting. So it looks like perhaps 129 00:06:38,720 --> 00:06:42,039 Speaker 1: that we may get another report about Amazon spying on 130 00:06:42,240 --> 00:06:47,080 Speaker 1: people through their camera security service. Here to explain all 131 00:06:47,120 --> 00:06:49,680 Speaker 1: the ins and outs here over day. She's a technology 132 00:06:49,680 --> 00:06:53,200 Speaker 1: columnist for Bloomberg Opinion, joining us in our Bloomberger Active 133 00:06:53,200 --> 00:06:56,560 Speaker 1: Broker studios. So Amazon st spying on us? Is that 134 00:06:56,640 --> 00:06:59,560 Speaker 1: the is at the bottom line here? Well, yeah, and 135 00:06:59,680 --> 00:07:05,040 Speaker 1: I think we already knew that the companies you know, 136 00:07:05,120 --> 00:07:09,520 Speaker 1: Echo home speakers and related devices powered by its Alexa 137 00:07:09,640 --> 00:07:12,440 Speaker 1: voice assistant that you know, they're used as sort of 138 00:07:12,520 --> 00:07:16,239 Speaker 1: data collection machines so that Amazon in parts, so Amazon 139 00:07:16,280 --> 00:07:19,960 Speaker 1: can improve the technology behind Alexa. But what are colleagues 140 00:07:20,200 --> 00:07:24,400 Speaker 1: in in Europe and on the West Coast here reported overnight? Uh, 141 00:07:24,600 --> 00:07:30,160 Speaker 1: is that Amazon has sort of human reviewers overseas basically 142 00:07:30,200 --> 00:07:34,160 Speaker 1: looking at snippets of video from cloud Cam, which is 143 00:07:34,200 --> 00:07:39,120 Speaker 1: Amazon's kind of home motion detection security camera. Um, there 144 00:07:39,120 --> 00:07:43,760 Speaker 1: are people reviewing those snippets of video again for use 145 00:07:43,760 --> 00:07:48,200 Speaker 1: in kind of training the artificial intelligence software behind Alexa. 146 00:07:48,600 --> 00:07:52,480 Speaker 1: And you know, Amazon says this is more or less 147 00:07:52,520 --> 00:07:55,720 Speaker 1: disclosed that people are doing it voluntarily, either kind of 148 00:07:55,720 --> 00:07:59,360 Speaker 1: Amazon employees or others, or people choosing to have these 149 00:07:59,360 --> 00:08:02,760 Speaker 1: snippets viewed by people because there's some kind of crash 150 00:08:02,920 --> 00:08:06,640 Speaker 1: or bug. But you know, sources told Bloomberg News that 151 00:08:06,720 --> 00:08:10,080 Speaker 1: in some cases the video snippets were things that people 152 00:08:10,120 --> 00:08:14,480 Speaker 1: would probably not voluntarily give up, including in some cases 153 00:08:14,480 --> 00:08:17,360 Speaker 1: snippets of people having sex. Yeah, so do people do 154 00:08:17,440 --> 00:08:21,120 Speaker 1: we know? Is it clear whether consumers opt into this 155 00:08:21,640 --> 00:08:24,760 Speaker 1: or is it not clear? Well, I mean, as as 156 00:08:24,800 --> 00:08:27,680 Speaker 1: you can see from the sort of examples of very 157 00:08:27,720 --> 00:08:31,400 Speaker 1: sensitive people are probably not opting into having snippets of 158 00:08:31,400 --> 00:08:36,480 Speaker 1: them having sex reviewed by humans. Um. So Amazon says 159 00:08:36,520 --> 00:08:41,160 Speaker 1: this is voluntary. There's obviously some dispute about that. And look, 160 00:08:41,200 --> 00:08:44,760 Speaker 1: I wrote a piece that published today that's basically asking 161 00:08:45,360 --> 00:08:49,199 Speaker 1: is sort of opting in or is disclosure in fine print? 162 00:08:49,520 --> 00:08:53,000 Speaker 1: Really enough? Like, no one who buys a home motion 163 00:08:53,040 --> 00:08:57,840 Speaker 1: detection security camera is really expecting that somewhere in India 164 00:08:57,960 --> 00:09:02,079 Speaker 1: or Romania, there are people sitting there computers reviewing little 165 00:09:02,120 --> 00:09:06,320 Speaker 1: snippets of their from inside their homes. Honestly, though, if 166 00:09:06,360 --> 00:09:08,840 Speaker 1: you put a camera in your home and you're asking 167 00:09:08,880 --> 00:09:12,680 Speaker 1: a company to provide some sort of security, come on, 168 00:09:12,920 --> 00:09:15,360 Speaker 1: I mean, at a certain point, the likelihood of someone 169 00:09:15,440 --> 00:09:19,560 Speaker 1: actually reviewing that is not insignificant, and you're basically asking 170 00:09:19,600 --> 00:09:21,280 Speaker 1: them to do it. You're just hoping that the bots 171 00:09:21,280 --> 00:09:23,040 Speaker 1: are better at it than the humans, which it turns 172 00:09:23,080 --> 00:09:26,760 Speaker 1: out they're not always. So I mean, honestly, what alternative 173 00:09:26,920 --> 00:09:29,000 Speaker 1: is there? No? I think I think that's a fair 174 00:09:29,040 --> 00:09:32,480 Speaker 1: point that um and I think that's an attitude that 175 00:09:32,520 --> 00:09:34,400 Speaker 1: lots of people have that what do you expect if 176 00:09:34,480 --> 00:09:36,920 Speaker 1: you are buying one of these devices, whether it's a 177 00:09:37,000 --> 00:09:39,960 Speaker 1: voice activated speaker or a cell phone that we carry 178 00:09:39,960 --> 00:09:42,800 Speaker 1: around with with us everywhere we go, what do you expect? 179 00:09:42,840 --> 00:09:46,840 Speaker 1: Of course, they're always listening or watching. But I feel 180 00:09:46,880 --> 00:09:49,640 Speaker 1: like there is some kind of limit to this, right, 181 00:09:49,720 --> 00:09:52,360 Speaker 1: that this is a case of boiling the frog slowly. 182 00:09:53,040 --> 00:09:57,080 Speaker 1: Maybe we got okay, although we shouldn't be okay with 183 00:09:57,160 --> 00:09:59,520 Speaker 1: the idea that everything we do online and in the 184 00:09:59,559 --> 00:10:03,320 Speaker 1: real world is basically being monitored and tracked by you know, 185 00:10:03,360 --> 00:10:05,520 Speaker 1: Google or Facebook or Apple or one of these other 186 00:10:05,600 --> 00:10:08,679 Speaker 1: gigantic tech companies. Again, we should not be okay with that, 187 00:10:09,160 --> 00:10:11,840 Speaker 1: but over time we got kind of inured to that. 188 00:10:12,120 --> 00:10:16,440 Speaker 1: But I feel like humans reviewing audio clips of sort 189 00:10:16,440 --> 00:10:21,199 Speaker 1: of what we ask Siri, or again, video snippets from 190 00:10:21,200 --> 00:10:25,000 Speaker 1: footage inside of our homes being reviewed by humans. That 191 00:10:25,120 --> 00:10:28,320 Speaker 1: feels like a different level. And the same thing with 192 00:10:28,360 --> 00:10:31,520 Speaker 1: sort of these kind of facial recognition cameras. Again, this 193 00:10:31,600 --> 00:10:34,760 Speaker 1: is all about collecting as much data as possible and 194 00:10:34,800 --> 00:10:38,040 Speaker 1: then using human reviewers to kind of train the next 195 00:10:38,040 --> 00:10:41,160 Speaker 1: generation of the software to make it smarter and more automated. 196 00:10:41,520 --> 00:10:46,080 Speaker 1: But we're basically human guinea pigs for technology, and we 197 00:10:46,120 --> 00:10:48,120 Speaker 1: did not agree to this. Just because you buy a 198 00:10:48,160 --> 00:10:50,800 Speaker 1: home security camera doesn't mean you agree to be a 199 00:10:50,840 --> 00:10:53,480 Speaker 1: free guinea pig for a big technology company. But as 200 00:10:53,520 --> 00:10:57,760 Speaker 1: you suggested earlier, it just seems like we're on this continuum, uh, 201 00:10:57,800 --> 00:11:00,360 Speaker 1: we as consumers of giving up more and more and 202 00:11:00,400 --> 00:11:04,560 Speaker 1: more of our personal security, of personal privacy in the 203 00:11:04,640 --> 00:11:09,760 Speaker 1: name of technological you know, improvements are just ease, you know, 204 00:11:09,920 --> 00:11:12,960 Speaker 1: whether it's credit card numbers or access to our homes. 205 00:11:13,360 --> 00:11:16,200 Speaker 1: But we all know this, and people still buy the devices. 206 00:11:16,240 --> 00:11:19,000 Speaker 1: So I've got to say at a certain point, you know, 207 00:11:19,160 --> 00:11:23,560 Speaker 1: it hasn't been shown to be materially harmful so far, 208 00:11:23,960 --> 00:11:26,160 Speaker 1: and that is the question. At what point will it 209 00:11:26,200 --> 00:11:30,160 Speaker 1: reach a tipping point? And will the frog be boiled? Yeah, 210 00:11:30,160 --> 00:11:32,720 Speaker 1: that's why I mean, to me, the boiling frog, the 211 00:11:32,760 --> 00:11:37,000 Speaker 1: dead frog moment is humans reviewing video video footage. For me, 212 00:11:38,280 --> 00:11:42,400 Speaker 1: I definitely don't have those. But I think that's a 213 00:11:42,520 --> 00:11:45,400 Speaker 1: very fair point, is sort of do people really care 214 00:11:45,520 --> 00:11:47,319 Speaker 1: about this or do they care enough about it to 215 00:11:47,440 --> 00:11:49,760 Speaker 1: not buy one of these devices? And I think the 216 00:11:49,840 --> 00:11:52,760 Speaker 1: easy answers people don't care. I think it's more nuanced 217 00:11:52,760 --> 00:11:56,800 Speaker 1: than that. They're people definitely do care. We do see, obviously, 218 00:11:57,880 --> 00:12:03,079 Speaker 1: you know, pretty significant growth of um people purchasing echo 219 00:12:03,160 --> 00:12:08,359 Speaker 1: devices and similar kinds of home automation or voice assistant technologies. 220 00:12:08,559 --> 00:12:11,680 Speaker 1: But I don't think that necessarily means people are tacitly 221 00:12:11,840 --> 00:12:19,199 Speaker 1: cool with kind of perpetual surveillance by gigantic rich technology companies. Yeah, 222 00:12:19,240 --> 00:12:21,400 Speaker 1: if you put it that way, I'm sure sure over there. 223 00:12:21,480 --> 00:12:23,640 Speaker 1: Thank you so much for joining us. Here's a technology 224 00:12:23,640 --> 00:12:25,880 Speaker 1: columnist for Bloomberg opinion. Joining us here in our Bloomberg 225 00:12:25,880 --> 00:12:28,800 Speaker 1: Interactive Broker studio, you can read more of sharers at 226 00:12:28,880 --> 00:12:32,440 Speaker 1: work and more from Bloomberg Intelligence. I'm sorry, Blueberg Opinion 227 00:12:32,480 --> 00:12:35,360 Speaker 1: at Bloomberg dot com slash opinion, and you can do 228 00:12:35,400 --> 00:12:37,040 Speaker 1: it on the terminal as well by typing O, P, 229 00:12:37,400 --> 00:12:58,440 Speaker 1: I N go. President Trump saying that he is willing 230 00:12:58,480 --> 00:13:01,680 Speaker 1: to meet with China's top delegate as trade talks heat 231 00:13:01,760 --> 00:13:04,360 Speaker 1: up in Washington, d C. Joining us now to discuss 232 00:13:04,400 --> 00:13:07,720 Speaker 1: Mike McDonough, chief economist for financial Products for Bloomberg LP. 233 00:13:07,840 --> 00:13:11,040 Speaker 1: He is down there in Washington, d C. Mike, Are 234 00:13:11,040 --> 00:13:14,440 Speaker 1: you taking part in the trade negotiations? I? I am not. 235 00:13:15,000 --> 00:13:18,040 Speaker 1: But I do think that that meeting, the agreement to 236 00:13:18,080 --> 00:13:21,560 Speaker 1: have that meeting, is probably a pretty big deal. Really, 237 00:13:22,200 --> 00:13:25,559 Speaker 1: I do, actually, because I don't think. I mean, from 238 00:13:25,559 --> 00:13:28,600 Speaker 1: my own perspective, President Trump hasn't seemed to be one 239 00:13:28,640 --> 00:13:31,440 Speaker 1: to deliver bad news face to face. He seems to 240 00:13:32,000 --> 00:13:35,120 Speaker 1: when things are going poorly, he seems to have other 241 00:13:35,120 --> 00:13:38,080 Speaker 1: people communicate that message, or he does it indirectly via Twitter. 242 00:13:38,440 --> 00:13:40,720 Speaker 1: So the fact that there is an agreement and a 243 00:13:40,760 --> 00:13:44,559 Speaker 1: meeting occurring makes me think that's a positive sign. Mind you, 244 00:13:44,960 --> 00:13:47,520 Speaker 1: there's a meeting occurring as of right now, ten minutes 245 00:13:47,559 --> 00:13:50,440 Speaker 1: from now. We don't know right that could change, but 246 00:13:50,520 --> 00:13:53,160 Speaker 1: assuming I think one of the riskiest headlines you could 247 00:13:53,160 --> 00:13:56,320 Speaker 1: see right now is that that meeting is canceled. Actually, yeah, exactly. 248 00:13:56,440 --> 00:14:00,040 Speaker 1: Um So, Mike, is is it your sense that on 249 00:14:00,120 --> 00:14:03,640 Speaker 1: the Chinese side they would be happy with kind of 250 00:14:03,679 --> 00:14:07,920 Speaker 1: a you know, a light trade agreement or even you know, 251 00:14:07,960 --> 00:14:10,599 Speaker 1: a signed document that we're going to continue talking in 252 00:14:10,679 --> 00:14:12,640 Speaker 1: the interim tariffs are going to be delayed. Is there 253 00:14:12,960 --> 00:14:15,640 Speaker 1: is there a senseim your side that China do that. 254 00:14:15,800 --> 00:14:18,640 Speaker 1: I absolutely get that sense. I think that the mentality 255 00:14:18,720 --> 00:14:23,040 Speaker 1: has changed pretty dramatically from earlier in the year to 256 00:14:23,280 --> 00:14:26,880 Speaker 1: where something is better than nothing and let's you know, 257 00:14:27,080 --> 00:14:30,440 Speaker 1: try to get some agreement. Uh kick the can I 258 00:14:30,480 --> 00:14:32,600 Speaker 1: guess who could say on some of the larger issues, 259 00:14:33,400 --> 00:14:35,240 Speaker 1: but you know, it gets something out of way to 260 00:14:35,320 --> 00:14:38,680 Speaker 1: at least remove the uncertainty from the market of how 261 00:14:38,760 --> 00:14:42,120 Speaker 1: bad this could potentially get. So, Mike, we were speaking 262 00:14:42,160 --> 00:14:44,720 Speaker 1: with Leland Miller of China Beige Book earlier on the show, 263 00:14:44,760 --> 00:14:47,080 Speaker 1: and he was talking about sort of two tracks to 264 00:14:47,120 --> 00:14:49,840 Speaker 1: the negotiations. On one hand, you have sort of a 265 00:14:49,920 --> 00:14:52,360 Speaker 1: crackdown and a hardening in the stance when it comes 266 00:14:52,360 --> 00:14:55,440 Speaker 1: to things like capital flows and I P. Theft. And 267 00:14:55,480 --> 00:14:57,720 Speaker 1: on the other hand, there seems to be a softening 268 00:14:57,720 --> 00:14:59,560 Speaker 1: when it comes to trying to go back to the 269 00:14:59,560 --> 00:15:03,760 Speaker 1: February agreement, when it comes to agricultural deals. Uh, in 270 00:15:03,840 --> 00:15:06,520 Speaker 1: addition to a couple of other things. Do you see 271 00:15:06,560 --> 00:15:09,600 Speaker 1: that also? You know that makes sense? And I guess 272 00:15:09,640 --> 00:15:12,360 Speaker 1: at the heart, you know, at the heart of the 273 00:15:12,440 --> 00:15:15,680 Speaker 1: issues between the US China relations. You know, it's not 274 00:15:15,840 --> 00:15:19,280 Speaker 1: the trade deficit, it's not trade, it's not tariffs, it's 275 00:15:19,320 --> 00:15:21,280 Speaker 1: it's some of that stuff where there there is a 276 00:15:21,320 --> 00:15:25,080 Speaker 1: harder stance being taken. So I'm not shocked by that. Uh. 277 00:15:25,120 --> 00:15:29,080 Speaker 1: And and that sort of action may help hasten or 278 00:15:29,120 --> 00:15:32,240 Speaker 1: expedite some of the longer term solutions in those areas. 279 00:15:32,240 --> 00:15:35,720 Speaker 1: But that is a far more complicated type of conversation 280 00:15:36,160 --> 00:15:38,720 Speaker 1: than whether or not you're going to have some tariffs 281 00:15:38,720 --> 00:15:41,800 Speaker 1: on soybeans or automobiles or whatever else. Are you Here's 282 00:15:41,840 --> 00:15:45,280 Speaker 1: my confusion. Does China see this as a two pronged, 283 00:15:45,520 --> 00:15:48,480 Speaker 1: two separate tract issue. Can they come to some sort 284 00:15:48,480 --> 00:15:51,200 Speaker 1: of agreement with the US in order to alleviate that 285 00:15:51,280 --> 00:15:55,560 Speaker 1: the proposed tariffs that have to do with agricultural goods 286 00:15:55,760 --> 00:15:58,760 Speaker 1: and still be dealing with the US. That's hardening. It 287 00:15:58,840 --> 00:16:01,560 Speaker 1: stands on the other hide. Well, to be clear, you know, 288 00:16:01,720 --> 00:16:03,440 Speaker 1: the last time we were on the show, I was 289 00:16:03,520 --> 00:16:06,000 Speaker 1: mentioning I thought that there was a very high probability 290 00:16:06,040 --> 00:16:08,160 Speaker 1: that we would see a ceasefire in these trade deals. 291 00:16:08,440 --> 00:16:11,440 Speaker 1: And I think right now what everyone wants, uh, like 292 00:16:11,480 --> 00:16:14,760 Speaker 1: I said, is to remove that uncertainty. From a Chinese perspective, Uh, 293 00:16:14,840 --> 00:16:17,840 Speaker 1: the economy has been weakening a bit more than I 294 00:16:17,880 --> 00:16:20,240 Speaker 1: think they may have expected, so that would help alleviate 295 00:16:20,320 --> 00:16:23,440 Speaker 1: some of that. And from a US perspective, you're starting 296 00:16:23,440 --> 00:16:26,000 Speaker 1: to see the economy turn a bit, You're starting to 297 00:16:26,000 --> 00:16:29,640 Speaker 1: see sentiment diminish somewhat. Uh. And if you're the president 298 00:16:29,760 --> 00:16:32,880 Speaker 1: and you want to remain the president, uh, it's that's 299 00:16:32,720 --> 00:16:35,280 Speaker 1: these are all bad inputs to your re election odds. 300 00:16:35,320 --> 00:16:38,280 Speaker 1: So you know, both sides have a reason why they 301 00:16:38,280 --> 00:16:41,080 Speaker 1: want to get something, some win, even if it's if 302 00:16:41,080 --> 00:16:45,520 Speaker 1: it's a minor win. Uh. And and so it's interesting, Yeah, 303 00:16:45,520 --> 00:16:48,560 Speaker 1: it's interesting, Michael, what do you think would constitute a 304 00:16:49,240 --> 00:16:52,480 Speaker 1: win here? I know, expectations have been lowered. Uh, probably 305 00:16:52,520 --> 00:16:55,840 Speaker 1: on both sides. UM, but you know, is an agreement 306 00:16:55,920 --> 00:16:57,960 Speaker 1: just to kick the can down the road, that doesn't 307 00:16:57,960 --> 00:16:59,760 Speaker 1: seem like that would be enough of the markets? What 308 00:16:59,760 --> 00:17:02,360 Speaker 1: do you would be a quote unquote win. I got 309 00:17:02,400 --> 00:17:04,840 Speaker 1: a sense that, um, like I said earlier this year, 310 00:17:04,880 --> 00:17:08,240 Speaker 1: that China would not accept a deal where any of 311 00:17:08,280 --> 00:17:11,440 Speaker 1: the tariffs remained in place. UH. And I think that's 312 00:17:11,480 --> 00:17:14,119 Speaker 1: what the US had been pushing at that time. I 313 00:17:14,160 --> 00:17:18,320 Speaker 1: think now, Uh, the hope is we will agree to 314 00:17:18,520 --> 00:17:21,960 Speaker 1: do X, Y and Z, you know, make more agricultural purchases. 315 00:17:22,000 --> 00:17:25,479 Speaker 1: There's some talks about a currency pact. UM. They might 316 00:17:25,520 --> 00:17:28,400 Speaker 1: have done some stuff on the margins on intellectual property, uh, 317 00:17:28,400 --> 00:17:31,000 Speaker 1: and make this agreement just to not have the next 318 00:17:31,080 --> 00:17:33,639 Speaker 1: round of tariffs in a couple of days or a 319 00:17:33,640 --> 00:17:36,399 Speaker 1: couple of weeks whenever that's scheduled to be put in place. 320 00:17:36,680 --> 00:17:38,520 Speaker 1: And I think from the U S side, you know, 321 00:17:38,880 --> 00:17:42,040 Speaker 1: getting you know, making some progress and just not putting 322 00:17:42,040 --> 00:17:44,000 Speaker 1: on more tariffs and leaving the ones that are there 323 00:17:44,000 --> 00:17:46,760 Speaker 1: in place, UH, can probably be viewed as a win 324 00:17:46,800 --> 00:17:48,920 Speaker 1: as well, at least an interim win for a ceasefire. 325 00:17:49,800 --> 00:17:52,679 Speaker 1: How much agreement is there in the White House about 326 00:17:52,680 --> 00:17:54,840 Speaker 1: how to approach these trade deals to have a sense. 327 00:17:55,800 --> 00:17:59,120 Speaker 1: I mean, the wild card for me and this whole 328 00:17:59,119 --> 00:18:01,760 Speaker 1: thing is, I'm some times don't know if President Trump 329 00:18:01,800 --> 00:18:04,480 Speaker 1: knows what he's going to say before he says it, 330 00:18:04,520 --> 00:18:06,520 Speaker 1: he might have a last minute change of heart go 331 00:18:06,600 --> 00:18:09,320 Speaker 1: up to the podium. And that's the biggest wild card 332 00:18:09,359 --> 00:18:10,879 Speaker 1: in this. And then if you look at this staff, 333 00:18:10,920 --> 00:18:16,760 Speaker 1: I think that you probably have um, obviously some your 334 00:18:16,800 --> 00:18:20,000 Speaker 1: your Peter Navarro's, etcetera. Have rather hawkish views on how 335 00:18:20,040 --> 00:18:22,400 Speaker 1: we should be treating China. And then other members who 336 00:18:22,440 --> 00:18:26,120 Speaker 1: have more dobbage views and who has influence and who 337 00:18:26,160 --> 00:18:28,840 Speaker 1: has listened to most. I think that could be a 338 00:18:28,880 --> 00:18:31,840 Speaker 1: function of how the markets are performing and how the 339 00:18:31,880 --> 00:18:35,000 Speaker 1: economy is performing. Uh. If the hawkish members are saying 340 00:18:35,040 --> 00:18:37,359 Speaker 1: we should do this to China, let's take a strong stance. 341 00:18:37,600 --> 00:18:39,720 Speaker 1: The markets are doing well, the economy is doing well. 342 00:18:39,880 --> 00:18:43,119 Speaker 1: Why not listen. Uh Suddenly things turn uh, and the 343 00:18:43,160 --> 00:18:46,040 Speaker 1: people who have more slightly more dobash stance that this 344 00:18:46,080 --> 00:18:48,040 Speaker 1: is what we said would happen. Here's the approach we 345 00:18:48,080 --> 00:18:51,560 Speaker 1: maybe should take to reduce risk that we ourselves have 346 00:18:51,600 --> 00:18:53,320 Speaker 1: a slow down and then I think they get the 347 00:18:53,320 --> 00:18:55,800 Speaker 1: greater say, there's sort of an inverse relationship of how 348 00:18:55,840 --> 00:19:00,520 Speaker 1: the how the relation to the negotiations are going to markets, right, exactly, right, Hey, Mike, 349 00:19:00,520 --> 00:19:03,000 Speaker 1: thanks so much for joining us. Mike mcdonna, Chief Economists 350 00:19:03,240 --> 00:19:06,359 Speaker 1: for Financial Products at Bloomberg, joining us uh in our 351 00:19:06,440 --> 00:19:25,800 Speaker 1: DC studio. Well, let's shift gears from global trade from brexit. 352 00:19:25,880 --> 00:19:29,520 Speaker 1: Let's talk technology growth. We welcome Melissa di Donado. She 353 00:19:29,680 --> 00:19:33,080 Speaker 1: is the CEO of SUSA, based in London but headquartered 354 00:19:33,080 --> 00:19:34,840 Speaker 1: in Germany, but she joins us here in our Bloomberg 355 00:19:34,840 --> 00:19:37,320 Speaker 1: Interactive Broker studio. So, Melissa, thanks so much for joining 356 00:19:37,359 --> 00:19:40,879 Speaker 1: us here at Bloomberg. Just let's first off, just give 357 00:19:40,960 --> 00:19:42,919 Speaker 1: us a sense of what SUSA is, kind of what 358 00:19:43,040 --> 00:19:45,359 Speaker 1: markets you're operating in and who you know, who your 359 00:19:45,400 --> 00:19:49,200 Speaker 1: customers are. Our customers are enterprise customers across the globe. 360 00:19:49,440 --> 00:19:51,639 Speaker 1: So even though we're out of Germany, word global business 361 00:19:51,720 --> 00:19:55,119 Speaker 1: with the largest the world's largest independent open source company 362 00:19:55,160 --> 00:19:58,080 Speaker 1: in the world right now, All right, then, so you 363 00:19:58,160 --> 00:20:01,920 Speaker 1: focus on providing so for etcetera, within the cloud, within 364 00:20:01,960 --> 00:20:07,640 Speaker 1: the idea of having something that is in the ether. Yeah, yeah, 365 00:20:07,720 --> 00:20:11,200 Speaker 1: kind of something like that. We're an open source software business. 366 00:20:11,280 --> 00:20:14,719 Speaker 1: Right to find open source for US. Open sources software 367 00:20:14,720 --> 00:20:17,040 Speaker 1: built in a community, so there's no proprietary components to 368 00:20:17,040 --> 00:20:20,200 Speaker 1: open source, so open sources for example, it is Yeah. 369 00:20:20,200 --> 00:20:22,320 Speaker 1: So the core of our business is Linux space. It's 370 00:20:22,359 --> 00:20:26,160 Speaker 1: where the world's largest Linux provider independent company in the world, UM, 371 00:20:26,200 --> 00:20:28,160 Speaker 1: and it's all based on open source. That's exactly right. 372 00:20:28,560 --> 00:20:31,440 Speaker 1: So I guess where is the expansion opportunity here? It 373 00:20:31,480 --> 00:20:34,199 Speaker 1: seems to be a fast growing area with a lot 374 00:20:34,240 --> 00:20:37,240 Speaker 1: of competition with everyone wanting to get into this. Where 375 00:20:37,240 --> 00:20:39,600 Speaker 1: where are you seeing opportunities? So UM. I've been on 376 00:20:39,640 --> 00:20:41,600 Speaker 1: board now for sixty five days as the new CEO. 377 00:20:41,680 --> 00:20:44,800 Speaker 1: I was appointed in July. UM. In my first one days, 378 00:20:44,880 --> 00:20:47,440 Speaker 1: I've taken the mission to meet a hunter customers UM 379 00:20:47,480 --> 00:20:49,560 Speaker 1: in my first one hundred days, and that includes customers 380 00:20:49,560 --> 00:20:52,240 Speaker 1: and partners and vendors. And we're a very big channel business. 381 00:20:52,280 --> 00:20:54,160 Speaker 1: So it's been enlightening for me and I've been saying, 382 00:20:54,200 --> 00:20:55,920 Speaker 1: you know, where do we expand where do we grow? 383 00:20:56,359 --> 00:20:58,639 Speaker 1: We were acquired by eq T, which is a private 384 00:20:58,680 --> 00:21:01,760 Speaker 1: equity from Mount of Sweden as our growth investor. UM. 385 00:21:01,920 --> 00:21:04,320 Speaker 1: We were independent as of marks of this year. So really, 386 00:21:04,520 --> 00:21:06,440 Speaker 1: you know, we're looking at where do we grow, where 387 00:21:06,440 --> 00:21:08,760 Speaker 1: do we invest, where do we spend our time? So 388 00:21:08,840 --> 00:21:10,920 Speaker 1: for US, we're doubling down the US market, So that's 389 00:21:10,920 --> 00:21:13,320 Speaker 1: a big one for US UM. You know, we're looking 390 00:21:13,320 --> 00:21:15,239 Speaker 1: to see how we can really transform. And during this 391 00:21:15,320 --> 00:21:17,760 Speaker 1: journey and with my customers and visiting them in the 392 00:21:17,800 --> 00:21:21,120 Speaker 1: last sixty five days going towards a hundred, the message 393 00:21:21,119 --> 00:21:24,320 Speaker 1: has been allowed. They want us to help them simplify, right, 394 00:21:24,320 --> 00:21:28,640 Speaker 1: how do these businesses take potentially big, monolithic global enterprise 395 00:21:28,680 --> 00:21:31,240 Speaker 1: applications and get them at some point in their journey 396 00:21:31,240 --> 00:21:33,959 Speaker 1: to the cloud. That's that's that's one. The second thing 397 00:21:34,000 --> 00:21:36,359 Speaker 1: is how do we accelerate? How do we allow ourselves 398 00:21:36,440 --> 00:21:40,800 Speaker 1: as enterprise customers to SUSA really you know, accelerate and 399 00:21:40,920 --> 00:21:45,080 Speaker 1: modernize their applications as they go. So, Melissa, I saw that, 400 00:21:45,119 --> 00:21:46,200 Speaker 1: you know, one of the things I don't know much 401 00:21:46,200 --> 00:21:48,200 Speaker 1: about the open source business full disclosure, but I do 402 00:21:48,400 --> 00:21:50,720 Speaker 1: IBM made a big acquisition of red Hat and that 403 00:21:50,840 --> 00:21:53,920 Speaker 1: was kind of interesting. Does let's just suggest that maybe 404 00:21:53,920 --> 00:21:57,000 Speaker 1: some of the more big traditional vertically integrated technology companies 405 00:21:57,040 --> 00:22:00,280 Speaker 1: are thinking about open source. We are absolutely thing gamout 406 00:22:00,280 --> 00:22:02,600 Speaker 1: open source, open sources on the mind of everyone. And 407 00:22:02,920 --> 00:22:06,040 Speaker 1: why well, because it creates a borderless enterprise of solutions 408 00:22:06,440 --> 00:22:09,600 Speaker 1: built with innovators across the board. So the software is free. 409 00:22:09,960 --> 00:22:12,520 Speaker 1: You don't pay for for our software. What we do 410 00:22:12,600 --> 00:22:14,520 Speaker 1: is we support the environment and that's how we obviously 411 00:22:14,520 --> 00:22:16,919 Speaker 1: have a commercial model, but the most important thing is 412 00:22:16,920 --> 00:22:21,000 Speaker 1: that open sources delivered to our customers with innovators across 413 00:22:21,000 --> 00:22:23,920 Speaker 1: the globe, with interaction side of a community. You support 414 00:22:24,000 --> 00:22:27,480 Speaker 1: that environment and that's how you make money. Please explain, yeah, 415 00:22:27,560 --> 00:22:30,159 Speaker 1: of course. So um, we like to think of ourselves 416 00:22:30,240 --> 00:22:33,040 Speaker 1: the best most valuable insurance policy in the world. So 417 00:22:33,240 --> 00:22:35,000 Speaker 1: what we do is we work with our customers to 418 00:22:35,160 --> 00:22:38,119 Speaker 1: understand their business needs, what the application need in the 419 00:22:38,119 --> 00:22:41,000 Speaker 1: software needs to deliver through their services. So we take 420 00:22:41,040 --> 00:22:43,680 Speaker 1: in part and parcel their requirements, their business solutions and 421 00:22:43,680 --> 00:22:46,160 Speaker 1: the outcome we're looking to develop. We put that into 422 00:22:46,200 --> 00:22:49,800 Speaker 1: the community and we certify that release and those components 423 00:22:49,800 --> 00:22:52,639 Speaker 1: into our software every year that we deliver service and 424 00:22:52,720 --> 00:22:55,200 Speaker 1: then of course provide the maintenance on top, so ensuring 425 00:22:55,240 --> 00:22:57,320 Speaker 1: that when they need help where they need help with 426 00:22:57,320 --> 00:22:59,440 Speaker 1: the kernel and above that we're there to help them. 427 00:22:59,480 --> 00:23:03,920 Speaker 1: Are you expecting or getting any feelers from potentially bigger 428 00:23:04,000 --> 00:23:09,040 Speaker 1: technology companies to be acquired. Um, maybe not quite yet. 429 00:23:09,119 --> 00:23:10,440 Speaker 1: Let's not rush, and I think we want to be 430 00:23:10,480 --> 00:23:13,720 Speaker 1: the acquirer rather than inquiry. So we're gonna be very looking. 431 00:23:13,920 --> 00:23:16,400 Speaker 1: We are looking, Yeah, we are. We are definitely looking. 432 00:23:16,400 --> 00:23:19,239 Speaker 1: We're gonna grow in organically and organically, but acquisitions are 433 00:23:19,240 --> 00:23:21,040 Speaker 1: definitely in our future. So you could just give us 434 00:23:21,040 --> 00:23:23,080 Speaker 1: a sense that like the competitive landscape, who were the 435 00:23:23,160 --> 00:23:26,000 Speaker 1: big players and maybe kind of where SUSSA fits in there. 436 00:23:26,680 --> 00:23:29,520 Speaker 1: So whilst we're the largest independent open source company in 437 00:23:29,560 --> 00:23:32,000 Speaker 1: the world, we stand behind red hatters Number one is 438 00:23:32,040 --> 00:23:34,480 Speaker 1: probably know they're they're they're much larger. They're acquired for 439 00:23:34,840 --> 00:23:36,919 Speaker 1: um quite a bit of money by IBM, and we 440 00:23:36,920 --> 00:23:39,080 Speaker 1: were acquired by e q T just in March of 441 00:23:39,080 --> 00:23:42,040 Speaker 1: this year. So we're we're second but rising in the 442 00:23:42,080 --> 00:23:44,560 Speaker 1: market because we provide a very different landscape. But SUSA, 443 00:23:44,880 --> 00:23:47,720 Speaker 1: we're the open open source company, were agnostic. We don't 444 00:23:47,720 --> 00:23:49,960 Speaker 1: have platform lock in, we don't try and take the 445 00:23:50,160 --> 00:23:52,960 Speaker 1: entire stack for our enterprise customers. It's much more about 446 00:23:53,000 --> 00:23:56,520 Speaker 1: allowing support across the open source market. So we provide 447 00:23:56,560 --> 00:23:58,320 Speaker 1: a very different level of service. So we like to 448 00:23:58,320 --> 00:23:59,840 Speaker 1: think that we're quite unique in the market, in fact 449 00:24:00,080 --> 00:24:03,000 Speaker 1: or the best of our kind. So when you're in 450 00:24:03,040 --> 00:24:04,720 Speaker 1: the US, so, I mean you mentioned that it's a 451 00:24:04,720 --> 00:24:06,880 Speaker 1: big you just this is organic growth. We're just gonna 452 00:24:06,880 --> 00:24:09,280 Speaker 1: go try to sign up customers take them away from them. Ever, 453 00:24:09,560 --> 00:24:11,720 Speaker 1: is that the strategy? No? I mean, you know, when 454 00:24:11,760 --> 00:24:14,040 Speaker 1: when you look at who are enterprise customers are, We've 455 00:24:14,040 --> 00:24:16,840 Speaker 1: got four of every five customers sitting in retail, We've 456 00:24:16,840 --> 00:24:20,040 Speaker 1: got four to five in in banking, in telco. So 457 00:24:20,080 --> 00:24:22,720 Speaker 1: we've got to really study footprint. We're looking to expand, 458 00:24:23,000 --> 00:24:25,480 Speaker 1: to go up the value chain of the enterprise application 459 00:24:25,560 --> 00:24:28,359 Speaker 1: stack move much, you know, from the bottom which is 460 00:24:28,359 --> 00:24:30,479 Speaker 1: the operating system, all the way to the value services 461 00:24:30,520 --> 00:24:33,159 Speaker 1: across the enterprise. Melissa de Donado, thank you so much 462 00:24:33,200 --> 00:24:35,000 Speaker 1: for being with us. Thanks for having me. Melissa de 463 00:24:35,080 --> 00:24:38,240 Speaker 1: Donado is chief executive officer of SUSA. She is based 464 00:24:38,240 --> 00:24:41,520 Speaker 1: in London. The company is based in Germany. Talking about 465 00:24:41,560 --> 00:24:44,960 Speaker 1: open source, the expansion within it, and it really does 466 00:24:45,040 --> 00:24:47,960 Speaker 1: seem to be a fertile Area's sort of interesting. The 467 00:24:48,160 --> 00:24:53,359 Speaker 1: value of providing software for free, basically saying come build 468 00:24:53,400 --> 00:24:56,320 Speaker 1: this up. This will help us actually gain a critical 469 00:24:56,359 --> 00:24:59,560 Speaker 1: mass and be able to have some sort of broad 470 00:24:59,600 --> 00:25:02,639 Speaker 1: reach uh software that we can work from. Thanks for 471 00:25:02,680 --> 00:25:05,360 Speaker 1: listening to the Bloomberg pen L podcast. You can subscribe 472 00:25:05,359 --> 00:25:08,159 Speaker 1: and listen to interviews at Apple Podcasts or whatever podcast 473 00:25:08,240 --> 00:25:11,000 Speaker 1: platform you prefer. I'm Paul Sweeney. I'm on Twitter at 474 00:25:11,000 --> 00:25:13,679 Speaker 1: pt Sweeney. I'm Lisa Abram Woyds. I'm on Twitter at 475 00:25:13,720 --> 00:25:16,520 Speaker 1: Lisa Abram woits one. Before the podcast, you can always 476 00:25:16,520 --> 00:25:18,600 Speaker 1: catch us Worldwide'm Bloomberg Radio