1 00:00:01,360 --> 00:00:05,680 Speaker 1: This is Bloomberg Business Wait inside from the reporters and 2 00:00:05,880 --> 00:00:09,440 Speaker 1: editors who bring you America's most trusted business magazine, plus 3 00:00:09,520 --> 00:00:13,680 Speaker 1: global business, finance and tech news. The Bloomberg Business Week 4 00:00:13,720 --> 00:00:19,000 Speaker 1: Podcast with Carol Messer and Tim Stenebek from Bloomberg Radio. 5 00:00:19,600 --> 00:00:22,840 Speaker 2: And when we're talking about China being the world's second 6 00:00:23,000 --> 00:00:26,840 Speaker 2: largest economy, and also when you're looking at Bloomberg Economics, 7 00:00:26,960 --> 00:00:30,000 Speaker 2: really thinking that when you're thinking at the trajectory of 8 00:00:30,040 --> 00:00:33,479 Speaker 2: its growth not quite holding up as much as obviously 9 00:00:33,560 --> 00:00:36,200 Speaker 2: economists we're anticipating. And then also when you're thinking about 10 00:00:36,240 --> 00:00:39,120 Speaker 2: Tim the liquidity crunch it's going under, when you're thinking 11 00:00:39,159 --> 00:00:42,680 Speaker 2: about some of those property developers and the pressure that 12 00:00:42,720 --> 00:00:45,599 Speaker 2: they have been under so significantly, what this could really 13 00:00:45,680 --> 00:00:48,279 Speaker 2: mean when you're looking at global economic growth and obviously 14 00:00:48,520 --> 00:00:51,400 Speaker 2: the US economy, which has proven to be pretty resilient. 15 00:00:50,960 --> 00:00:52,760 Speaker 3: Here, Yeah, just doing a great job of laying out 16 00:00:52,800 --> 00:00:54,520 Speaker 3: all the challenges when we do look at China, the 17 00:00:54,600 --> 00:00:57,360 Speaker 3: world's second largest economy, to get an idea of where 18 00:00:57,440 --> 00:00:59,840 Speaker 3: China's economy is headed in its effect on global growth. 19 00:01:00,000 --> 00:01:02,080 Speaker 3: I'm very pleased to have with us this afternoon. Leland 20 00:01:02,120 --> 00:01:05,399 Speaker 3: at Miller CEO at China page book International. Leland joining 21 00:01:05,520 --> 00:01:07,840 Speaker 3: us on a zoom from Washington, D C. Leland, How 22 00:01:07,880 --> 00:01:09,640 Speaker 3: are you good? 23 00:01:09,680 --> 00:01:09,880 Speaker 4: Well? 24 00:01:09,920 --> 00:01:12,480 Speaker 3: Thank you well, thanks so much for joining us. You 25 00:01:12,520 --> 00:01:15,200 Speaker 3: might have heard us mentioned earlier this morning that we 26 00:01:15,240 --> 00:01:19,399 Speaker 3: actually saw Bloomberg Economics cut its long term forecast as 27 00:01:19,440 --> 00:01:22,240 Speaker 3: the post COVID rebound has run out of steam. This 28 00:01:22,360 --> 00:01:25,319 Speaker 3: for China, it's pretty remarkable to see this. Just a 29 00:01:25,319 --> 00:01:27,800 Speaker 3: couple of weeks ago, Carol and I we're talking to 30 00:01:27,840 --> 00:01:29,680 Speaker 3: some folks who said, you know what, it's no longer 31 00:01:29,680 --> 00:01:31,240 Speaker 3: a growth story the same way that it has been 32 00:01:31,319 --> 00:01:33,240 Speaker 3: in China for years, and in fact we could see 33 00:01:33,280 --> 00:01:35,240 Speaker 3: higher growth here in the US. That's just not something 34 00:01:35,240 --> 00:01:37,480 Speaker 3: we talked about a few years ago. Where do you fall, Leland? 35 00:01:39,120 --> 00:01:41,120 Speaker 4: Well, it was something we were talking about for the 36 00:01:41,160 --> 00:01:43,679 Speaker 4: past ten years, but you know, nobody really wanted to 37 00:01:43,680 --> 00:01:45,800 Speaker 4: hear about it, because you know, the idea was China 38 00:01:45,880 --> 00:01:47,480 Speaker 4: was growing at eight percent, or they were going at 39 00:01:47,520 --> 00:01:50,600 Speaker 4: close to eight percent, and most people didn't really see 40 00:01:50,600 --> 00:01:54,640 Speaker 4: a reason why the economic magic couldn't continue. The growth 41 00:01:54,680 --> 00:01:57,120 Speaker 4: model had worked up to that point, why couldn't they 42 00:01:57,160 --> 00:02:00,080 Speaker 4: still crank out another twenty years at eight percent? I 43 00:02:00,080 --> 00:02:02,960 Speaker 4: think that was the mindset up until relatively recently when 44 00:02:03,000 --> 00:02:05,800 Speaker 4: people realize that, look, no one in Beijing is an 45 00:02:05,840 --> 00:02:08,280 Speaker 4: economic magician anymore than anywhere else in the world. You know, 46 00:02:08,280 --> 00:02:10,280 Speaker 4: there's subject to the laws of economics. And when they 47 00:02:10,320 --> 00:02:13,280 Speaker 4: have the system that they have, it's it is structurally 48 00:02:13,280 --> 00:02:15,240 Speaker 4: pumped up growth for a while, but there's going to 49 00:02:15,280 --> 00:02:18,560 Speaker 4: be a much more precipitous slowdown on the way down. 50 00:02:18,639 --> 00:02:20,280 Speaker 4: So I think, first of all, we have to be 51 00:02:20,320 --> 00:02:25,520 Speaker 4: ready for very for a future of significant slowdown going forward, 52 00:02:25,800 --> 00:02:28,720 Speaker 4: a structural slowdown. And second, when you're looking at whether 53 00:02:28,760 --> 00:02:32,200 Speaker 4: the United States can pass, whether China can pass the 54 00:02:32,280 --> 00:02:34,239 Speaker 4: United States, or whether it does or not, I think 55 00:02:34,280 --> 00:02:38,480 Speaker 4: that the issue here is that if Chijin pain falls 56 00:02:38,560 --> 00:02:40,120 Speaker 4: victim to the mindset that he has to pass the 57 00:02:40,160 --> 00:02:42,399 Speaker 4: United States, and they do everything that's needed in order 58 00:02:42,440 --> 00:02:45,320 Speaker 4: to pass the United States in GDP growth, then China 59 00:02:45,320 --> 00:02:47,080 Speaker 4: will be going the wrong direction. I think they'll you know, 60 00:02:47,120 --> 00:02:49,160 Speaker 4: Sheijin Ping will be reversing some of the stuff he's 61 00:02:49,160 --> 00:02:51,560 Speaker 4: been doing for the past you know, the past several years. 62 00:02:51,600 --> 00:02:54,680 Speaker 4: It's caused a lot of you know, pressure on the economy, 63 00:02:54,720 --> 00:02:57,280 Speaker 4: but has been towards the idea of getting dead under control. 64 00:02:57,360 --> 00:02:59,960 Speaker 4: So to the extent that China passed the United State, 65 00:03:00,320 --> 00:03:03,160 Speaker 4: which looks unlikely. It's always looked unlikely. But if it 66 00:03:03,200 --> 00:03:05,400 Speaker 4: does happen, it means Chi Jinping is doing the wrong things, 67 00:03:05,440 --> 00:03:06,160 Speaker 4: not the right things. 68 00:03:06,440 --> 00:03:10,480 Speaker 2: Why is it that the post COVID rebound just didn't hold. 69 00:03:13,080 --> 00:03:16,079 Speaker 4: That's a great question. I mean, you know, we were 70 00:03:16,280 --> 00:03:20,000 Speaker 4: very cautious, particularly early in the year, saying, look, there's 71 00:03:20,000 --> 00:03:21,720 Speaker 4: a lot that China has to get over. You have 72 00:03:21,760 --> 00:03:24,400 Speaker 4: to break down the COVID zero administrative state. You know, 73 00:03:24,440 --> 00:03:27,720 Speaker 4: businesses have been frozen in place for a year now. 74 00:03:28,240 --> 00:03:30,560 Speaker 4: But even we were surprised at how tepid the recovery 75 00:03:30,680 --> 00:03:32,880 Speaker 4: was in the second quarter. I think it all comes 76 00:03:32,880 --> 00:03:35,280 Speaker 4: down to confidence. When you look at what's happening in 77 00:03:35,280 --> 00:03:38,520 Speaker 4: the economy. Firms didn't like what they were coming out of. 78 00:03:38,560 --> 00:03:41,080 Speaker 4: They didn't know what was happening, and so there wasn't 79 00:03:41,080 --> 00:03:43,560 Speaker 4: a sense of confidence the economy. If you don't have confidence, 80 00:03:43,560 --> 00:03:45,520 Speaker 4: then you're not borrowing, you're not hiring, you're not spending. 81 00:03:45,760 --> 00:03:48,200 Speaker 4: There was some of this, but not enough of it, 82 00:03:48,240 --> 00:03:50,840 Speaker 4: and so you had a sequential recovery and month to 83 00:03:50,840 --> 00:03:53,520 Speaker 4: month to month throughout twenty twenty three, but it was 84 00:03:53,560 --> 00:03:56,520 Speaker 4: nowhere near what people were expecting or hoping for, and 85 00:03:56,560 --> 00:03:59,600 Speaker 4: so people have become very very despondent on what they're 86 00:03:59,600 --> 00:04:00,920 Speaker 4: seeing in the economy right now. 87 00:04:00,960 --> 00:04:03,080 Speaker 3: So Leland, what does this all mean for American investors 88 00:04:03,080 --> 00:04:05,800 Speaker 3: and American companies that do business or want to do 89 00:04:05,840 --> 00:04:06,640 Speaker 3: business in China. 90 00:04:08,720 --> 00:04:11,400 Speaker 4: Well, I think this is, you know, peace by piece. 91 00:04:11,480 --> 00:04:14,119 Speaker 4: We have been opening the eyes of foreign investors. I mean, 92 00:04:14,280 --> 00:04:15,760 Speaker 4: you know, a long time ago, it was it was 93 00:04:15,800 --> 00:04:18,240 Speaker 4: first it was gepolitics, and then it was the trade war, 94 00:04:18,360 --> 00:04:20,560 Speaker 4: and then it was you know, COVID, and then it 95 00:04:20,640 --> 00:04:24,200 Speaker 4: was COVID zero, and now it's you know, low growth 96 00:04:24,240 --> 00:04:27,360 Speaker 4: after COVID zero, and with with the foreign foreign crackdown 97 00:04:27,400 --> 00:04:31,280 Speaker 4: on business, crackdown on foreign businesses. So there hasn't been 98 00:04:31,320 --> 00:04:35,520 Speaker 4: one thing that convinced foreign investors, foreign businesses that they 99 00:04:35,560 --> 00:04:38,680 Speaker 4: had to be more careful about going into China. Maybe 100 00:04:38,680 --> 00:04:39,920 Speaker 4: they didn't want to go there, maybe they had to 101 00:04:39,960 --> 00:04:42,640 Speaker 4: pull their supply chains out. It's been incremental, but I 102 00:04:42,640 --> 00:04:46,279 Speaker 4: think when we got to COVID zero, finally, I think 103 00:04:46,279 --> 00:04:49,480 Speaker 4: a lot of foreign businesses they just said, enough is enough. 104 00:04:49,520 --> 00:04:51,719 Speaker 4: We can't operate here. It's not worth it. And you know, 105 00:04:51,760 --> 00:04:55,240 Speaker 4: we can't be susceptible to having our supply chains severed 106 00:04:55,640 --> 00:04:59,320 Speaker 4: because somebody decides to do a nationwide lockdown. 107 00:04:59,360 --> 00:05:02,200 Speaker 3: But so if you're Nike, if you're Disney, you're not 108 00:05:02,240 --> 00:05:04,200 Speaker 3: gonna throw in the towel. If you're Apple, yeah, sure 109 00:05:04,200 --> 00:05:06,000 Speaker 3: you're gonna move your supply chains a little bit. I mean, 110 00:05:06,040 --> 00:05:08,680 Speaker 3: but that company is just so intertwined with China. 111 00:05:09,640 --> 00:05:11,440 Speaker 4: That's exactly right. So what you're gonna do is you're 112 00:05:11,440 --> 00:05:14,680 Speaker 4: gonna bifurcate your operations. So you're gonna have a China operations, 113 00:05:14,720 --> 00:05:17,240 Speaker 4: You're gonna have an X Chine operations that allows you 114 00:05:17,320 --> 00:05:20,520 Speaker 4: not to have supply chains that are that are tangled up. 115 00:05:20,760 --> 00:05:23,200 Speaker 4: You produce in China for Chinese consumers, if you think 116 00:05:23,200 --> 00:05:24,800 Speaker 4: that's a great market, then you stay in there and 117 00:05:24,800 --> 00:05:27,400 Speaker 4: you need to ramp it up. But if you're if 118 00:05:27,440 --> 00:05:31,000 Speaker 4: you're mostly ramping up for for for for foreign consumers, 119 00:05:31,360 --> 00:05:35,680 Speaker 4: maybe you don't run your supply chains through China anymore. So, yes, absolutely, 120 00:05:35,760 --> 00:05:38,320 Speaker 4: there's companies that don't have that absolutely don't want to 121 00:05:38,320 --> 00:05:40,320 Speaker 4: pull themselves out of China and won't, but I think 122 00:05:40,320 --> 00:05:43,480 Speaker 4: they're they're they're changing their approach and how they treat 123 00:05:43,560 --> 00:05:44,840 Speaker 4: the China part of the equation. 124 00:05:45,320 --> 00:05:48,799 Speaker 2: How concerned are you about China's property debt crisis. 125 00:05:51,800 --> 00:05:53,839 Speaker 4: I'll be real provocative here and I'll say I'm not 126 00:05:53,880 --> 00:05:56,640 Speaker 4: concerned at all. Not that things aren't a mess. I 127 00:05:56,720 --> 00:05:59,680 Speaker 4: just look, we spent all of August. Everyone supposed to 128 00:05:59,680 --> 00:06:02,560 Speaker 4: be a VACA. We've spent all of August listening to 129 00:06:02,920 --> 00:06:06,320 Speaker 4: people say that China's collapsing. Emitt hard Landing. We had 130 00:06:06,320 --> 00:06:08,000 Speaker 4: a lot of people worried about that, had a lot 131 00:06:08,000 --> 00:06:11,040 Speaker 4: of notes going out saying, look, China is not collapsing. 132 00:06:11,080 --> 00:06:14,000 Speaker 4: Here's what's actually happening. It's not that the property sector 133 00:06:14,040 --> 00:06:16,279 Speaker 4: isn't a mess. The property sector is a mess. You've 134 00:06:16,279 --> 00:06:18,719 Speaker 4: got a big shadow bank that's wobbling right now in 135 00:06:18,760 --> 00:06:21,240 Speaker 4: Country Garden, which you had two years ago in Evergrand. 136 00:06:21,279 --> 00:06:24,240 Speaker 4: It freaked everybody out. A lot of problems the property sector. 137 00:06:24,920 --> 00:06:29,039 Speaker 4: But China is not a typical economic system. It is 138 00:06:29,080 --> 00:06:32,640 Speaker 4: a non commercial financial system, which means they're much less 139 00:06:32,640 --> 00:06:36,039 Speaker 4: susceptible to things like a limit moment, like an acute crisis. 140 00:06:36,080 --> 00:06:38,280 Speaker 4: So you have the ability to do things in a 141 00:06:38,320 --> 00:06:40,599 Speaker 4: non commercial financial system you can't do in the West. 142 00:06:41,000 --> 00:06:42,760 Speaker 4: You can't do in the US can't do in Europe. 143 00:06:42,839 --> 00:06:46,000 Speaker 4: And so the idea that this is going to create 144 00:06:46,040 --> 00:06:48,599 Speaker 4: some sort of sense of financial contagion and just roll 145 00:06:48,640 --> 00:06:53,120 Speaker 4: every everybody over very very unlikely. But it does cause 146 00:06:53,160 --> 00:06:56,320 Speaker 4: stresses to the system. And I think that it's happening 147 00:06:56,360 --> 00:06:58,839 Speaker 4: right now because the Chinese government is allowing it to happen. 148 00:06:59,080 --> 00:07:00,960 Speaker 4: When it starts looking like guess could go out of control, 149 00:07:01,200 --> 00:07:04,120 Speaker 4: then they step in and and and they ease conditions 150 00:07:04,160 --> 00:07:04,360 Speaker 4: a bit. 151 00:07:04,480 --> 00:07:06,120 Speaker 3: What are they going to do in terms of stepping in? 152 00:07:06,160 --> 00:07:08,320 Speaker 3: I mean, are you talking the question of moral hazard here, 153 00:07:08,360 --> 00:07:10,120 Speaker 3: like they're not going to let anything fail? 154 00:07:11,200 --> 00:07:13,080 Speaker 4: Well, I think they want to. They want to. They 155 00:07:13,120 --> 00:07:16,520 Speaker 4: know that they are creating very very difficult conditions inside 156 00:07:16,560 --> 00:07:18,880 Speaker 4: the inside the property sector. What they want to keep 157 00:07:18,920 --> 00:07:21,080 Speaker 4: the problems inside of property. So you want to make 158 00:07:21,080 --> 00:07:23,080 Speaker 4: sure that financial contagent is it's spreading to other areas 159 00:07:23,120 --> 00:07:25,040 Speaker 4: of economy. You want to make sure that cash flow 160 00:07:25,080 --> 00:07:28,200 Speaker 4: doesn't completely freeze up. Uh, And so that's why you're 161 00:07:28,200 --> 00:07:30,200 Speaker 4: seeing easing measures right now. So, I mean, we have 162 00:07:30,240 --> 00:07:33,040 Speaker 4: a fiscal activity index we track and monetary stimulus index 163 00:07:33,120 --> 00:07:35,200 Speaker 4: we track, and we could see that as they are 164 00:07:35,240 --> 00:07:38,040 Speaker 4: pushing harder on some of these issues, like you know, 165 00:07:38,120 --> 00:07:40,320 Speaker 4: the resolution on these shadow banks, and and and and 166 00:07:40,440 --> 00:07:43,760 Speaker 4: as property continues to deteriorate, then they step in and 167 00:07:43,760 --> 00:07:45,320 Speaker 4: they give it a little bit of juice on the side. 168 00:07:45,360 --> 00:07:48,160 Speaker 4: And so there is there is a you know, a 169 00:07:48,200 --> 00:07:50,720 Speaker 4: push and pull on these things. But in terms of 170 00:07:51,000 --> 00:07:53,600 Speaker 4: a bank, a big shadow bank falling in it causing 171 00:07:53,640 --> 00:07:55,920 Speaker 4: the system to fall apart in a domino effect like 172 00:07:55,960 --> 00:07:58,400 Speaker 4: we saw with Lehman, that's not going to happen in China. 173 00:07:58,480 --> 00:08:00,960 Speaker 2: So what are their corners within the economy have been 174 00:08:01,000 --> 00:08:04,640 Speaker 2: able to offset those concerns when you're talking about when 175 00:08:04,640 --> 00:08:06,880 Speaker 2: you're looking at what's happening with the property debt crisis 176 00:08:06,920 --> 00:08:08,680 Speaker 2: not being as big of an issue as maybe people 177 00:08:08,720 --> 00:08:10,280 Speaker 2: are thinking at this point. 178 00:08:11,440 --> 00:08:13,440 Speaker 4: Well, one of the problems is you haven't had real 179 00:08:13,480 --> 00:08:17,760 Speaker 4: strength anywhere else to compensate. So if the conversation right 180 00:08:17,800 --> 00:08:19,680 Speaker 4: now is you know, are things going greater are they 181 00:08:19,720 --> 00:08:23,200 Speaker 4: going not that great? Then a difficult you know, it's 182 00:08:23,200 --> 00:08:25,640 Speaker 4: a difficult thing to hash out. But you know, luckily 183 00:08:25,680 --> 00:08:27,840 Speaker 4: for us it's been very easy because the question is 184 00:08:28,080 --> 00:08:30,760 Speaker 4: is China growing or is it China collapsing? And China's 185 00:08:30,840 --> 00:08:33,200 Speaker 4: clearly not collapsing. I think the whole thing is ludicrous. 186 00:08:33,240 --> 00:08:36,000 Speaker 4: That that is the sentiment people have right now. If 187 00:08:36,040 --> 00:08:38,200 Speaker 4: you look at what's happening in the manufacturing sector, it's 188 00:08:38,200 --> 00:08:42,679 Speaker 4: actually held up much more impressively this year than we 189 00:08:42,720 --> 00:08:45,160 Speaker 4: thought it would. You've got enormous headwinds. You're coming off 190 00:08:45,200 --> 00:08:49,320 Speaker 4: three years of gangbusters growth. It's manufacturings holding its own. 191 00:08:49,360 --> 00:08:51,520 Speaker 4: Is it doing great? Is it doing twenty twenty two? 192 00:08:51,559 --> 00:08:51,719 Speaker 5: Low? 193 00:08:52,280 --> 00:08:54,880 Speaker 4: It's not doing It's not what it was, but it's 194 00:08:54,880 --> 00:08:57,520 Speaker 4: doing okay. It's not a huge weak point. The consumption 195 00:08:58,200 --> 00:09:00,000 Speaker 4: parts of the e conoity. We look retail and services, 196 00:09:00,120 --> 00:09:00,960 Speaker 4: are they doing great? 197 00:09:01,160 --> 00:09:01,360 Speaker 6: Well? 198 00:09:01,400 --> 00:09:05,240 Speaker 4: Parts of services are, but overall doing okay, you know, 199 00:09:05,360 --> 00:09:08,320 Speaker 4: very uneven. So they're not a real bright spot. It's 200 00:09:08,440 --> 00:09:10,760 Speaker 4: just you know, you're not seeing great stuff out of China. 201 00:09:10,800 --> 00:09:12,800 Speaker 4: You're not seeing good data, but you're just not seeing 202 00:09:12,840 --> 00:09:15,520 Speaker 4: anywhere near as negative a story as a lot of 203 00:09:15,520 --> 00:09:18,679 Speaker 4: people think is happening inside inside the walls of the economy. 204 00:09:18,760 --> 00:09:21,199 Speaker 3: Well, hey, just before we let you go, Leland, talk 205 00:09:21,240 --> 00:09:24,600 Speaker 3: about political implications here she as president for life, as 206 00:09:24,800 --> 00:09:28,240 Speaker 3: said in the past, any political implications in thirty seconds. 207 00:09:29,679 --> 00:09:32,160 Speaker 4: This is she's show. So we can you know we 208 00:09:32,200 --> 00:09:34,720 Speaker 4: spend a lot of time talking about how you know, 209 00:09:34,760 --> 00:09:37,920 Speaker 4: four investors say, oh, Shei Jinping would never do this 210 00:09:38,120 --> 00:09:40,880 Speaker 4: because dot dot dot. I think after a year of 211 00:09:40,880 --> 00:09:43,160 Speaker 4: COVID zero we have we should be coming to the 212 00:09:43,200 --> 00:09:46,200 Speaker 4: conclusion that there is nothing Chijin Ping won't do simply 213 00:09:46,240 --> 00:09:47,840 Speaker 4: because we don't think he'll do it. It can be 214 00:09:47,960 --> 00:09:51,280 Speaker 4: very humble in in evaluating where he's taking the economy, 215 00:09:51,320 --> 00:09:53,120 Speaker 4: and it's in a very different direction than than he 216 00:09:53,200 --> 00:09:53,880 Speaker 4: ran in the past. 217 00:09:54,240 --> 00:09:55,600 Speaker 3: All right, we're gonna have to leave it there. Thank 218 00:09:55,600 --> 00:09:57,640 Speaker 3: you so much for taking the time this afternoon. That's 219 00:09:57,679 --> 00:10:01,440 Speaker 3: Leland Miller, CEO at China beij International, joining us this 220 00:10:01,480 --> 00:10:03,760 Speaker 3: afternoon on zoom from Washington, DC. 221 00:10:04,160 --> 00:10:07,640 Speaker 1: If you're listening to the Bloomberg Business Week podcast, catch 222 00:10:07,679 --> 00:10:11,040 Speaker 1: us live weekday afternoons from three to six Eastern Listen 223 00:10:11,120 --> 00:10:14,599 Speaker 1: on Bloomberg dot com, the iHeartRadio app, and the Bloomberg 224 00:10:14,640 --> 00:10:18,800 Speaker 1: Business App, or watch us live on YouTube ZIM. 225 00:10:19,040 --> 00:10:23,080 Speaker 2: We all know how much AI is all the hype. 226 00:10:22,679 --> 00:10:25,960 Speaker 3: I mean, just look different. Vidia is here to date 227 00:10:26,280 --> 00:10:27,839 Speaker 3: increase of two hundred percent or. 228 00:10:27,760 --> 00:10:32,200 Speaker 2: More exactly, though questions do remain about what this all 229 00:10:32,320 --> 00:10:37,199 Speaker 2: means for cybersecurity, particularly in the workplace, especially since generative 230 00:10:37,320 --> 00:10:42,360 Speaker 2: AI applications continue to evolve. So we have Dana simbercov 231 00:10:42,520 --> 00:10:46,800 Speaker 2: chief Risk, Privacy and Information Security Officer at a Point, 232 00:10:46,920 --> 00:10:50,320 Speaker 2: joining us on Zoom from New Hampshire to explain why 233 00:10:50,360 --> 00:10:54,000 Speaker 2: the cybersecurity industry isn't ready for the AI boom and 234 00:10:54,040 --> 00:10:58,880 Speaker 2: what guardrails companies should use to protect their employees. Dana, 235 00:10:58,920 --> 00:11:01,800 Speaker 2: thanks so much for joining us. As always, I want 236 00:11:01,800 --> 00:11:04,240 Speaker 2: to get your thoughts on that because when we are discussing, 237 00:11:04,320 --> 00:11:07,120 Speaker 2: like Tim and myself about this AI boom, why is 238 00:11:07,120 --> 00:11:09,840 Speaker 2: it that cybersecurity companies may not be ready for this 239 00:11:10,000 --> 00:11:10,800 Speaker 2: just yet. 240 00:11:12,040 --> 00:11:14,320 Speaker 6: Well, thanks Jess and Tim for having me this afternoon. 241 00:11:14,320 --> 00:11:17,600 Speaker 6: Great to be with you. I think AI is just 242 00:11:17,800 --> 00:11:21,160 Speaker 6: yet another obstacle in the road to looking for that 243 00:11:21,240 --> 00:11:24,640 Speaker 6: perfect security solution that just doesn't exist out there. Honestly, so, 244 00:11:25,600 --> 00:11:29,160 Speaker 6: artificial intelligence and sort of the leap learning that is 245 00:11:29,200 --> 00:11:35,120 Speaker 6: coming through technologies like that GBT really puts cyber professionals 246 00:11:35,120 --> 00:11:41,080 Speaker 6: on edge because this is just one more ripple in 247 00:11:41,120 --> 00:11:43,880 Speaker 6: the world we live in where cyber professionals have to 248 00:11:43,880 --> 00:11:46,880 Speaker 6: be right one hundred percent of the time and bad 249 00:11:46,920 --> 00:11:49,880 Speaker 6: guys only have to be right once in order to 250 00:11:49,920 --> 00:11:51,599 Speaker 6: get inside of your defenses. 251 00:11:51,800 --> 00:11:54,040 Speaker 3: And there's a shortage of bad guys out there, Dana, 252 00:11:54,080 --> 00:11:56,319 Speaker 3: as we as we certainly know. So what's the worst 253 00:11:56,320 --> 00:11:59,040 Speaker 3: case scenario here? I mean, describe for us what kind 254 00:11:59,040 --> 00:12:00,640 Speaker 3: of keeps you up at night, makes you scared. 255 00:12:02,320 --> 00:12:06,600 Speaker 6: Well, I think that really the secret to building a 256 00:12:06,600 --> 00:12:09,520 Speaker 6: good program and addressing this is really to go back 257 00:12:09,520 --> 00:12:12,160 Speaker 6: to cyber hygiene basics, doing what we do every day, 258 00:12:12,200 --> 00:12:14,440 Speaker 6: which is making sure that we have good data governance 259 00:12:14,480 --> 00:12:19,800 Speaker 6: in place within our companies and across our partner ecosystems. 260 00:12:19,880 --> 00:12:23,280 Speaker 6: Because if you know what information you're handling, if you 261 00:12:23,360 --> 00:12:26,040 Speaker 6: know what it is, where it is, who can access it, 262 00:12:26,080 --> 00:12:29,040 Speaker 6: and how it's being shared, then you can largely mitigate 263 00:12:29,080 --> 00:12:31,800 Speaker 6: some of the risks that are associated with AI. So 264 00:12:31,880 --> 00:12:36,160 Speaker 6: at the end of the day, it does oh no, continue, Well, 265 00:12:36,240 --> 00:12:37,679 Speaker 6: I was just going to say, at the end of 266 00:12:37,720 --> 00:12:43,040 Speaker 6: the day, it does come down to people, policy and technology. 267 00:12:43,120 --> 00:12:46,600 Speaker 6: So there really is no bad technology, just bad use 268 00:12:46,640 --> 00:12:47,560 Speaker 6: of technology. 269 00:12:48,200 --> 00:12:51,920 Speaker 2: And when you're talking about cybersecurity, are there particular sub 270 00:12:51,960 --> 00:12:54,679 Speaker 2: industries or companies that you think might potentially be more 271 00:12:54,760 --> 00:12:55,760 Speaker 2: vulnerable than others? 272 00:12:57,679 --> 00:13:00,679 Speaker 6: Well, I certainly think that the ability for or again 273 00:13:00,720 --> 00:13:07,719 Speaker 6: those malicious bad actors to use AI to potentially perpetrate cybercrime, 274 00:13:07,880 --> 00:13:11,960 Speaker 6: take advantage of insiders inside of a company to really 275 00:13:12,920 --> 00:13:16,319 Speaker 6: accelerate the process of cyber attacks. We've already seen through 276 00:13:16,520 --> 00:13:20,560 Speaker 6: phishing and smishing, where somebody receives a phone call or 277 00:13:20,600 --> 00:13:23,240 Speaker 6: a text message saying that they are an executive that 278 00:13:23,320 --> 00:13:26,120 Speaker 6: need help right away. Just imagine that amplified with the 279 00:13:26,160 --> 00:13:29,800 Speaker 6: ability to actually, you know, fake person over video, these 280 00:13:29,840 --> 00:13:32,560 Speaker 6: deep fakes that we've been hearing about where a person's 281 00:13:32,720 --> 00:13:36,040 Speaker 6: image or voice could be easily replicated data. 282 00:13:37,040 --> 00:13:40,200 Speaker 3: You said phishing. We all know about phishing. Did you 283 00:13:40,200 --> 00:13:40,920 Speaker 3: say smishing? 284 00:13:42,440 --> 00:13:47,840 Speaker 6: Smishing, Yes, that's smishing is using a text message or 285 00:13:48,000 --> 00:13:51,320 Speaker 6: some kind of social media. So whether it's WhatsApp, your phone, 286 00:13:51,559 --> 00:13:54,839 Speaker 6: or you know, just pretending to be somebody that you're 287 00:13:54,880 --> 00:13:58,040 Speaker 6: not and using technology to get to an intended target. 288 00:13:58,080 --> 00:14:00,480 Speaker 6: And this is really common. We see it a lot 289 00:14:00,920 --> 00:14:04,280 Speaker 6: both inside of our company is you know, as we 290 00:14:04,360 --> 00:14:08,640 Speaker 6: build our own cyber defenses, but also across our customer ecosystem, 291 00:14:08,760 --> 00:14:12,800 Speaker 6: where it really isn't just what you know, but who 292 00:14:12,840 --> 00:14:16,120 Speaker 6: you are that makes you a target potentially within a company. 293 00:14:16,200 --> 00:14:17,440 Speaker 3: Yeah, I didn't know that what it was. That's what 294 00:14:17,440 --> 00:14:19,120 Speaker 3: it was called. We had a great cover story an 295 00:14:19,160 --> 00:14:22,360 Speaker 3: excerpt from Zeke Fox's forthcoming book Number Go Up that 296 00:14:22,440 --> 00:14:25,040 Speaker 3: talked all about where those text messages actually come from. 297 00:14:25,160 --> 00:14:27,960 Speaker 3: I also encourage everybody listening who's interested to go check 298 00:14:28,000 --> 00:14:31,000 Speaker 3: that one out. It was just a couple of weeks ago. Okay, So, Dana, 299 00:14:31,040 --> 00:14:32,480 Speaker 3: what about when it comes to I mean, when I 300 00:14:32,480 --> 00:14:35,320 Speaker 3: think about the worst case scenario, I mean, I understand, like, 301 00:14:35,360 --> 00:14:38,320 Speaker 3: I consider myself pretty savvy when it comes to, uh 302 00:14:38,560 --> 00:14:40,960 Speaker 3: not answering those phishing emails, And we certainly get trained 303 00:14:40,960 --> 00:14:42,480 Speaker 3: pretty well here at Bloomberg, and I think a lot 304 00:14:42,520 --> 00:14:44,360 Speaker 3: of companies do that in this day and age. 305 00:14:44,360 --> 00:14:46,400 Speaker 2: Even do some trick emails at times just to see 306 00:14:46,440 --> 00:14:47,080 Speaker 2: if we get caught. 307 00:14:47,200 --> 00:14:49,520 Speaker 3: Yeah, they do. You got to you got to be vigilant. 308 00:14:49,760 --> 00:14:53,040 Speaker 3: I think my concern though, is is is how generative 309 00:14:53,080 --> 00:14:55,440 Speaker 3: AI sort of changes that, and it makes it so 310 00:14:55,480 --> 00:14:58,160 Speaker 3: it's like really not possible to distinguish what is real 311 00:14:58,200 --> 00:15:01,160 Speaker 3: and what isn't real. So so let's say that the 312 00:15:01,160 --> 00:15:04,000 Speaker 3: weakest link is always the person. Where do companies like 313 00:15:04,040 --> 00:15:06,520 Speaker 3: afpoint come in to try to stop that from happening? 314 00:15:07,720 --> 00:15:09,880 Speaker 6: Well, I think at the end of the day, it 315 00:15:09,960 --> 00:15:13,920 Speaker 6: really is going to come down to not only identity, 316 00:15:14,960 --> 00:15:17,960 Speaker 6: but also technology and what we allow individuals to do. 317 00:15:18,080 --> 00:15:20,560 Speaker 6: So just in the same way we've been talking over 318 00:15:20,560 --> 00:15:23,160 Speaker 6: the last really couple of years with COVID about now 319 00:15:23,200 --> 00:15:28,040 Speaker 6: the borderless office, where employees are working really from anywhere 320 00:15:28,040 --> 00:15:31,479 Speaker 6: in the world, they're home, Starbucks, you know, the office. 321 00:15:32,200 --> 00:15:35,160 Speaker 6: That means that there's no perimeter around the office that 322 00:15:35,200 --> 00:15:37,640 Speaker 6: you can protect, and so identity really has become that 323 00:15:37,680 --> 00:15:40,280 Speaker 6: new perimeter to a great extent, and making sure that 324 00:15:40,360 --> 00:15:42,640 Speaker 6: you know who you're talking to and who you are 325 00:15:43,120 --> 00:15:45,880 Speaker 6: is going to be critical. And limiting the ability for 326 00:15:46,600 --> 00:15:49,600 Speaker 6: somebody to move either horizontally or vertically within a company 327 00:15:49,640 --> 00:15:52,520 Speaker 6: if they are impersonated, is going to really help sort 328 00:15:52,520 --> 00:15:55,160 Speaker 6: of fill that gap and protect against that kind of risk. 329 00:15:55,600 --> 00:15:58,480 Speaker 2: We actually did hear from z Scaler after the bell. 330 00:15:58,520 --> 00:16:01,480 Speaker 2: They did report earnings and there are forecasts for EPs 331 00:16:01,560 --> 00:16:03,520 Speaker 2: to beat estimates. But of course, when it comes to 332 00:16:04,080 --> 00:16:06,960 Speaker 2: a cloud cybersecurity company like this, and I have to 333 00:16:07,000 --> 00:16:09,440 Speaker 2: note it stocks up more than five percent, and after 334 00:16:09,480 --> 00:16:12,400 Speaker 2: I was treating how does cloud play into this? And 335 00:16:12,560 --> 00:16:14,280 Speaker 2: when it comes to AI as well, in some of 336 00:16:14,320 --> 00:16:15,000 Speaker 2: your concerns. 337 00:16:16,160 --> 00:16:18,720 Speaker 6: Well, cloud is both an opportunity and a risk. That 338 00:16:18,880 --> 00:16:21,800 Speaker 6: certainly a point as a as a cloud first company 339 00:16:21,840 --> 00:16:24,720 Speaker 6: providing services to you know, millions of our customers around 340 00:16:24,760 --> 00:16:27,320 Speaker 6: the world, takes advantage of a lot of the build 341 00:16:27,360 --> 00:16:30,720 Speaker 6: in security controls that exist through our partners like Microsoft 342 00:16:30,800 --> 00:16:34,480 Speaker 6: and others. There's also real opportunity with AI and the 343 00:16:34,480 --> 00:16:38,680 Speaker 6: cloud to benefit from you know, the kind of machine 344 00:16:38,760 --> 00:16:41,760 Speaker 6: learning and intelligence that could also be used to fight cybercrime. 345 00:16:41,840 --> 00:16:44,080 Speaker 6: So I think there are tremendous opportunities that the cloud 346 00:16:44,120 --> 00:16:45,920 Speaker 6: brings a really at the end of the day at 347 00:16:45,920 --> 00:16:51,280 Speaker 6: somebody else's computer, and so that good data hygiene data 348 00:16:51,320 --> 00:16:53,240 Speaker 6: governance is going to be critical to making sure that 349 00:16:53,280 --> 00:16:56,680 Speaker 6: whether you're in the cloud or on premise, that you're 350 00:16:56,720 --> 00:16:58,640 Speaker 6: really doing the right things to protect your business and 351 00:16:58,680 --> 00:16:59,360 Speaker 6: your data. 352 00:16:59,480 --> 00:17:00,960 Speaker 3: Is there a future for on premise or is it 353 00:17:01,000 --> 00:17:01,600 Speaker 3: all in the cloud? 354 00:17:03,160 --> 00:17:06,040 Speaker 6: Well, hard to say. I think, you know, the cloud 355 00:17:06,080 --> 00:17:09,719 Speaker 6: is certainly the future. It's it's the wave, it's the 356 00:17:09,720 --> 00:17:13,359 Speaker 6: direction that we see companies moving more and more. I 357 00:17:13,359 --> 00:17:16,480 Speaker 6: think that there will likely always be some hybrid environments 358 00:17:16,520 --> 00:17:18,679 Speaker 6: and depending on your industry, depending on the kind of 359 00:17:18,680 --> 00:17:22,400 Speaker 6: information you have, cloud is not always possible, but we'll see. 360 00:17:22,680 --> 00:17:22,840 Speaker 7: Now. 361 00:17:22,880 --> 00:17:25,000 Speaker 6: You never say never, and I think it's always good 362 00:17:25,040 --> 00:17:25,960 Speaker 6: to head your bets. 363 00:17:26,440 --> 00:17:30,240 Speaker 2: Whenever you speak to companies, what is their biggest concern 364 00:17:30,320 --> 00:17:30,680 Speaker 2: right now? 365 00:17:32,760 --> 00:17:35,320 Speaker 6: Well, again, I think it is knowing where that data is. 366 00:17:35,359 --> 00:17:39,440 Speaker 6: It's that unknown, that risk of not knowing is never better. 367 00:17:39,840 --> 00:17:42,880 Speaker 6: And so you know, the challenge for AI is clearly 368 00:17:42,960 --> 00:17:45,800 Speaker 6: that you can have a machine outpacing you rapidly. We 369 00:17:45,840 --> 00:17:48,639 Speaker 6: now see that our computers regularly are asking us to 370 00:17:48,640 --> 00:17:51,199 Speaker 6: prove that we're human by answering thinks like captures when 371 00:17:51,240 --> 00:17:56,080 Speaker 6: you go to websites, Will computers outpace humans at some point? Maybe? 372 00:17:56,119 --> 00:17:59,440 Speaker 6: I think again, for cybersecurity and privacy professionals, it's building 373 00:17:59,480 --> 00:18:02,440 Speaker 6: accounted into the way that we use data, making sure 374 00:18:02,480 --> 00:18:05,920 Speaker 6: that there's good transparency with our customers, and making sure 375 00:18:05,960 --> 00:18:07,840 Speaker 6: that we're really, you know, doing the right thing to 376 00:18:08,000 --> 00:18:11,640 Speaker 6: maximize the opportunity for businesses to do what they should 377 00:18:11,680 --> 00:18:14,800 Speaker 6: be doing while protecting the rights of individuals and data subjects. 378 00:18:14,840 --> 00:18:16,159 Speaker 3: I don't know, just do you have any ever have 379 00:18:16,200 --> 00:18:18,880 Speaker 3: a problem with those captures. I feel like they're they're 380 00:18:18,880 --> 00:18:21,920 Speaker 3: already the captures have already outsmarted me. I mean, you know, 381 00:18:21,920 --> 00:18:23,920 Speaker 3: what I'm talking about. Write those things. 382 00:18:24,720 --> 00:18:27,120 Speaker 4: Yeah, come on, I. 383 00:18:27,080 --> 00:18:29,120 Speaker 2: Mean, I mean, I honestly like one time I got 384 00:18:29,119 --> 00:18:31,760 Speaker 2: one of those Bloomberg emails and accidentally clicked it on something. 385 00:18:31,800 --> 00:18:33,119 Speaker 2: Then I had to go back through and do all 386 00:18:33,160 --> 00:18:35,760 Speaker 2: of the training. So I'm super vigilant now. 387 00:18:35,640 --> 00:18:38,120 Speaker 3: And not to busted. You only make that mistake once. 388 00:18:38,040 --> 00:18:40,119 Speaker 2: I know, exactly, so never again after doing that. 389 00:18:40,640 --> 00:18:43,040 Speaker 6: Well, that's that's good. That's good hyber training. 390 00:18:44,200 --> 00:18:44,840 Speaker 2: It really is. 391 00:18:44,960 --> 00:18:47,040 Speaker 3: Yeah, we have we have some pretty uh you know, 392 00:18:47,200 --> 00:18:48,840 Speaker 3: and you gotta it takes a while to do those 393 00:18:48,880 --> 00:18:51,800 Speaker 3: trainings too. Exactly for the last day, Dana, I'll tell 394 00:18:51,800 --> 00:18:55,200 Speaker 3: you that Data Simberkoff really appreciate you taking the time. 395 00:18:55,240 --> 00:18:58,600 Speaker 3: She's chief Risk, Privacy and Information Security officer at a 396 00:18:58,800 --> 00:19:02,480 Speaker 3: point joining us on Zoom from New Hampshire this afternoon. 397 00:19:02,560 --> 00:19:04,159 Speaker 3: I think there's a lot of questions about what the 398 00:19:04,160 --> 00:19:07,200 Speaker 3: future of sort of the hybrid cloud is, Jess, And 399 00:19:07,400 --> 00:19:09,040 Speaker 3: you know whether or not what's on premise and what's 400 00:19:09,080 --> 00:19:12,160 Speaker 3: not on premise, especially with the multinational companies where those 401 00:19:12,160 --> 00:19:14,760 Speaker 3: servers are based. You see that certainly with you know, 402 00:19:15,200 --> 00:19:18,240 Speaker 3: tech companies that right you know, required to co locate 403 00:19:18,280 --> 00:19:20,600 Speaker 3: servers in certain countries and then those servers and that 404 00:19:20,640 --> 00:19:23,359 Speaker 3: information is under the jurisdiction of that area, so it 405 00:19:23,359 --> 00:19:24,720 Speaker 3: gets really complicated. 406 00:19:26,359 --> 00:19:29,960 Speaker 1: You're listening to the Bloomberg Business Week podcast. Catch us 407 00:19:29,960 --> 00:19:34,000 Speaker 1: live weekday afternoons from three to six Eastern on Bloomberg Radio, 408 00:19:34,200 --> 00:19:37,480 Speaker 1: the Bloomberg Business App, and YouTube. You can also listen 409 00:19:37,560 --> 00:19:40,680 Speaker 1: live on Amazon Alexa from our flagship New York station, 410 00:19:41,119 --> 00:19:44,240 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 411 00:19:45,560 --> 00:19:45,840 Speaker 7: Tim. 412 00:19:45,880 --> 00:19:49,320 Speaker 2: As you know we discussed earlier in Today's Big Take 413 00:19:49,600 --> 00:19:53,159 Speaker 2: with Bloomberg's Matt Boyle, workers in Asia and Europe have 414 00:19:53,359 --> 00:19:56,440 Speaker 2: largely returned to offices at a faster pace then their 415 00:19:56,560 --> 00:20:01,680 Speaker 2: American counterparts more than three years after COVID shifted corporate life. Now, 416 00:20:01,800 --> 00:20:05,560 Speaker 2: US employers are demanding a workplace reset, and they want 417 00:20:05,600 --> 00:20:09,120 Speaker 2: it now on everything from action on societal issues and 418 00:20:09,280 --> 00:20:14,119 Speaker 2: work life boundaries per Edelman's latest trust Barometer reports. So 419 00:20:14,119 --> 00:20:16,840 Speaker 2: who better to walk us through this latest report back 420 00:20:16,880 --> 00:20:20,359 Speaker 2: with us again is Richard Edelman's chief executive officer at 421 00:20:20,359 --> 00:20:22,639 Speaker 2: the firm, who is joining us on zoom in New 422 00:20:22,720 --> 00:20:25,760 Speaker 2: York City to discuss these latest fightings. Thanks so much 423 00:20:25,840 --> 00:20:28,159 Speaker 2: Richard for chatting with us again. Walk us through what 424 00:20:28,240 --> 00:20:31,480 Speaker 2: you think are the biggest takeaways from these latest figures 425 00:20:31,480 --> 00:20:31,880 Speaker 2: that you have. 426 00:20:33,520 --> 00:20:36,919 Speaker 7: I think the first important finding is that my employer 427 00:20:37,320 --> 00:20:41,200 Speaker 7: is substantially trusted more than any other institution. So trust 428 00:20:41,240 --> 00:20:45,640 Speaker 7: is local in my CEO and in my company's ability 429 00:20:45,680 --> 00:20:49,919 Speaker 7: to make change twenty five points higher than the other institution, 430 00:20:50,160 --> 00:20:53,280 Speaker 7: sixty points higher than government in terms of ethics. The 431 00:20:53,320 --> 00:20:56,200 Speaker 7: second big finding is the trust gap for so called 432 00:20:56,280 --> 00:20:59,040 Speaker 7: deustless workers. In other words, people who are either on 433 00:20:59,080 --> 00:21:02,800 Speaker 7: the factory floor are operating as sort of independent contractors, 434 00:21:03,200 --> 00:21:07,159 Speaker 7: they have substantially less trust in institutions. The third big finding, 435 00:21:07,200 --> 00:21:12,040 Speaker 7: which you led the broadcast with, is workers want a reset. 436 00:21:12,240 --> 00:21:14,560 Speaker 7: Two thirds of people say I want to change my 437 00:21:14,640 --> 00:21:17,640 Speaker 7: work life balance. This is a three years after COVID 438 00:21:17,800 --> 00:21:23,400 Speaker 7: kind of reaction saying, you know, I'm not so fast, folks. 439 00:21:24,240 --> 00:21:27,480 Speaker 3: Are they? Richard still in control though? I mean, yes, 440 00:21:27,560 --> 00:21:30,000 Speaker 3: we're still adding over one hundred thousand jobs each month 441 00:21:30,000 --> 00:21:32,640 Speaker 3: here in the United States, but we're not hearing from 442 00:21:32,640 --> 00:21:34,680 Speaker 3: executives to the same extent that we were in the 443 00:21:34,760 --> 00:21:37,240 Speaker 3: last couple of years how much trouble they're having finding 444 00:21:37,240 --> 00:21:38,680 Speaker 3: employees who's in the driver's seed. 445 00:21:39,960 --> 00:21:43,480 Speaker 7: So employees think that they are because they're saying, by 446 00:21:43,600 --> 00:21:46,639 Speaker 7: six to one, seven to one, I want my CEO 447 00:21:46,720 --> 00:21:50,560 Speaker 7: to speak up on societal issues. I expect that, in fact, 448 00:21:50,640 --> 00:21:52,879 Speaker 7: you're going to listen to me when I want to 449 00:21:52,920 --> 00:21:57,760 Speaker 7: make change. I expect in a sense sort of a 450 00:21:57,800 --> 00:22:02,679 Speaker 7: partnership as opposed to a class employer employee relationship. But 451 00:22:03,080 --> 00:22:06,120 Speaker 7: this is being sorted out because the employer has the 452 00:22:06,160 --> 00:22:10,639 Speaker 7: tightrope also of don't get into politics and you know, 453 00:22:10,960 --> 00:22:15,560 Speaker 7: be careful on especially in the US, on steering clear 454 00:22:15,640 --> 00:22:19,240 Speaker 7: of you know, electro politics or you know, things that 455 00:22:19,600 --> 00:22:20,760 Speaker 7: will get you into trouble. 456 00:22:21,760 --> 00:22:25,120 Speaker 2: When you're talking about work life boundaries, what specifically are 457 00:22:25,280 --> 00:22:26,280 Speaker 2: employees looking for. 458 00:22:27,800 --> 00:22:31,159 Speaker 7: Employees are looking for, in a sense, a new compact 459 00:22:31,520 --> 00:22:34,800 Speaker 7: that says you'll listen to me, you'll come visit me 460 00:22:34,880 --> 00:22:36,920 Speaker 7: on the factory floor and get my input. 461 00:22:37,880 --> 00:22:38,399 Speaker 3: In fact, the. 462 00:22:38,440 --> 00:22:45,440 Speaker 7: Deskless worker who actually feels very disconnected is connected if 463 00:22:45,440 --> 00:22:49,520 Speaker 7: the company trusts them, so that that matter of going 464 00:22:49,560 --> 00:22:54,119 Speaker 7: out and listening. But also we want to hear in 465 00:22:54,160 --> 00:22:57,800 Speaker 7: the halls of power the voice of our CEO expressing 466 00:22:57,840 --> 00:22:58,520 Speaker 7: our views. 467 00:22:59,600 --> 00:23:02,919 Speaker 3: Does this change based on the type of industry that 468 00:23:02,960 --> 00:23:06,400 Speaker 3: the company's in, like you know, if you're working for 469 00:23:07,440 --> 00:23:10,040 Speaker 3: one company and in one sector versus a company and 470 00:23:10,080 --> 00:23:11,679 Speaker 3: another sector, is it is it different? 471 00:23:13,400 --> 00:23:17,800 Speaker 7: I think in tech and financial services it's sort of 472 00:23:17,840 --> 00:23:22,879 Speaker 7: the counter positions. But where financial companies are really ordering 473 00:23:22,960 --> 00:23:27,120 Speaker 7: employees back. The CEOs of tech companies because they have 474 00:23:27,240 --> 00:23:30,840 Speaker 7: you know, talents and or remote programmers theoretically can work solo. 475 00:23:31,000 --> 00:23:33,879 Speaker 3: But sorry, Richard, I mean in terms of trust. 476 00:23:34,760 --> 00:23:36,760 Speaker 7: But what we found in our own company, trust is 477 00:23:36,800 --> 00:23:40,720 Speaker 7: made up of four things ability, dependability, integrity, and purpose 478 00:23:41,160 --> 00:23:44,199 Speaker 7: and the ability to come together in the office I 479 00:23:44,200 --> 00:23:47,560 Speaker 7: think gives some sense of culture and also some sense 480 00:23:47,600 --> 00:23:52,000 Speaker 7: of shared purpose. So you know, we're encouraging the hybrid structure, 481 00:23:52,160 --> 00:23:54,480 Speaker 7: and several of our clients are following suit. 482 00:23:54,680 --> 00:23:56,760 Speaker 2: Huh, Tim and I have been discussing a lot this 483 00:23:56,840 --> 00:24:00,119 Speaker 2: afternoon with this theme about especially when we're talking about 484 00:24:00,119 --> 00:24:03,080 Speaker 2: the US and employers trying to get their employees back 485 00:24:03,160 --> 00:24:05,400 Speaker 2: into the office. What do you think is the catalyst 486 00:24:05,560 --> 00:24:07,880 Speaker 2: that change? That is that a potential because we don't 487 00:24:07,880 --> 00:24:10,520 Speaker 2: see a recession on the horizon, but at a particular 488 00:24:10,560 --> 00:24:12,399 Speaker 2: point in the business cycle, if you do see that 489 00:24:12,480 --> 00:24:15,080 Speaker 2: shift with the slowing economy and then job cuts are 490 00:24:15,119 --> 00:24:18,919 Speaker 2: coming is that the shift that employers think could potentially 491 00:24:18,920 --> 00:24:19,920 Speaker 2: shift the power there. 492 00:24:21,760 --> 00:24:27,159 Speaker 7: The power struggle is a standoff, and the smart company 493 00:24:27,160 --> 00:24:30,000 Speaker 7: will find a way between and move gradually if that's 494 00:24:30,040 --> 00:24:34,600 Speaker 7: the direction. But what employees really want is to feel 495 00:24:34,880 --> 00:24:38,680 Speaker 7: as if they're getting value from their employer, that the 496 00:24:38,720 --> 00:24:41,399 Speaker 7: employer's listening, that it's not going to go back to 497 00:24:41,440 --> 00:24:44,560 Speaker 7: the pre twenty twenty method of talk down to me. 498 00:24:45,560 --> 00:24:47,840 Speaker 7: I want to be represented, I want to be heard. 499 00:24:48,160 --> 00:24:50,760 Speaker 7: I want to feel as if I'm making change. By 500 00:24:51,119 --> 00:24:54,720 Speaker 7: eight to one, people say I'm prepared to come to 501 00:24:54,800 --> 00:24:57,560 Speaker 7: work for a company if that company stands up on 502 00:24:57,680 --> 00:25:01,760 Speaker 7: human rights, or on sustainability, or on race and diversity. 503 00:25:02,200 --> 00:25:03,640 Speaker 7: So that matters. 504 00:25:05,119 --> 00:25:07,639 Speaker 3: So when it comes to thinking about what this what 505 00:25:07,680 --> 00:25:10,320 Speaker 3: the takeaways are for leaders who are listening to our program, 506 00:25:10,400 --> 00:25:12,879 Speaker 3: who are watching our program right now, you what have 507 00:25:12,920 --> 00:25:14,199 Speaker 3: you learned in the years that you've been doing the 508 00:25:14,200 --> 00:25:15,960 Speaker 3: trust barometer and how it's changed, because I got to 509 00:25:15,960 --> 00:25:18,320 Speaker 3: tell you, you know, last couple times we've had you on 510 00:25:18,880 --> 00:25:22,520 Speaker 3: it's been similar findings, Richard, that the company is the 511 00:25:22,520 --> 00:25:25,160 Speaker 3: one where people, you know, people trust as an institution 512 00:25:25,680 --> 00:25:29,919 Speaker 3: more than government. So what's the big takeaway for executives listening. 513 00:25:31,600 --> 00:25:34,560 Speaker 7: My employer is so much more trusted than any other institution. 514 00:25:34,680 --> 00:25:40,080 Speaker 7: There are huge expectations of you in satisfying what an 515 00:25:40,119 --> 00:25:44,040 Speaker 7: employee wants from a societal point of view, work life balance. 516 00:25:44,520 --> 00:25:48,879 Speaker 7: It's complicated by the reality of politics in today's world. 517 00:25:49,160 --> 00:25:52,120 Speaker 7: So I would identify the three or four key issues 518 00:25:52,280 --> 00:25:54,399 Speaker 7: on which I'm going to speak which have to do 519 00:25:54,480 --> 00:25:57,640 Speaker 7: with your own values and your core competencies, and they're 520 00:25:57,680 --> 00:26:02,560 Speaker 7: probably in the area of sustainability, diversity and inclusion, geopolitics 521 00:26:02,560 --> 00:26:05,240 Speaker 7: when it matters like getting out of Russia, and lastly 522 00:26:05,320 --> 00:26:09,000 Speaker 7: wages and reskilling. On the other issues, talk with your employees, 523 00:26:09,040 --> 00:26:12,840 Speaker 7: talk internally, but be careful about what you say in 524 00:26:12,880 --> 00:26:16,160 Speaker 7: a public sense as an advocate, because again you'll get 525 00:26:16,240 --> 00:26:20,840 Speaker 7: right into the R versus D and the differences could 526 00:26:20,840 --> 00:26:21,719 Speaker 7: not be more stark. 527 00:26:22,440 --> 00:26:24,600 Speaker 3: Yeah, that's certainly an area where I mean, you know, 528 00:26:24,880 --> 00:26:26,119 Speaker 3: you don't want to bring that up when you're with 529 00:26:26,200 --> 00:26:28,400 Speaker 3: new people you meet her or in the workplace. Right 530 00:26:28,480 --> 00:26:32,879 Speaker 3: religion and politics, right topics. Richard Edelman, we love it 531 00:26:32,920 --> 00:26:35,000 Speaker 3: when you joined us CEO of Edelman joining us on 532 00:26:35,080 --> 00:26:38,439 Speaker 3: Zoom from New York City. Some really interesting findings in 533 00:26:38,480 --> 00:26:40,560 Speaker 3: this and you know we have Richard join us. We 534 00:26:40,600 --> 00:26:42,440 Speaker 3: haven't joined us. Several times a year often he joins 535 00:26:42,480 --> 00:26:45,439 Speaker 3: us from Davos where he is the World Economic Forum, 536 00:26:45,480 --> 00:26:48,200 Speaker 3: and you know, talking to these leaders, Jess, who are 537 00:26:48,200 --> 00:26:51,280 Speaker 3: making these decisions about the ways that they run their business. 538 00:26:55,440 --> 00:27:03,680 Speaker 1: The journal. No, no, no, j honey, Please, I'll travel. 539 00:27:04,880 --> 00:27:05,680 Speaker 4: I want to drive. 540 00:27:05,680 --> 00:27:08,800 Speaker 5: It's good question. 541 00:27:12,600 --> 00:27:14,760 Speaker 3: This is the drive to the clothes. 542 00:27:17,800 --> 00:27:19,040 Speaker 1: On Bloemberg Radio. 543 00:27:19,800 --> 00:27:21,520 Speaker 3: Well, it is that time time for us to drive 544 00:27:21,560 --> 00:27:23,600 Speaker 3: to the clothes. We are just shy at eighteen minutes 545 00:27:23,680 --> 00:27:27,200 Speaker 3: until the US markets closed here in New York. Very 546 00:27:27,200 --> 00:27:29,840 Speaker 3: please to add back with us this afternoon. Abbe Deschaponde, 547 00:27:29,920 --> 00:27:33,359 Speaker 3: Founder and chief investment Officer at center Stone Investors. Abbe 548 00:27:33,440 --> 00:27:36,159 Speaker 3: joining us on zoom from New York City. Abbe, how 549 00:27:36,200 --> 00:27:36,439 Speaker 3: are you. 550 00:27:37,600 --> 00:27:40,040 Speaker 5: I'm doing well. Unfortunately summer's over. 551 00:27:40,160 --> 00:27:42,960 Speaker 3: But is it? Though it's still so hot and it 552 00:27:42,960 --> 00:27:45,840 Speaker 3: doesn't seem like everyone's back to work, does it? Is 553 00:27:45,880 --> 00:27:46,720 Speaker 3: this summer over? 554 00:27:48,160 --> 00:27:48,320 Speaker 7: Oh? 555 00:27:49,359 --> 00:27:52,520 Speaker 3: Covid era, right, yeah, exactly. We've talked a lot about 556 00:27:52,520 --> 00:27:53,560 Speaker 3: that this afternoon. 557 00:27:53,920 --> 00:27:54,040 Speaker 2: Uh. 558 00:27:54,080 --> 00:27:55,920 Speaker 3: Hey, we love talking to you because you always come 559 00:27:55,960 --> 00:27:58,000 Speaker 3: with some great picks. We're gonna get to those in 560 00:27:58,080 --> 00:27:59,560 Speaker 3: just a minute. But first I want to start with 561 00:27:59,560 --> 00:28:02,760 Speaker 3: with Mac because you're kind of in a different different camp. 562 00:28:03,000 --> 00:28:05,040 Speaker 3: You're not really talking about a soft landing. You argue 563 00:28:05,040 --> 00:28:06,640 Speaker 3: that a mild recession could be coming. 564 00:28:08,320 --> 00:28:11,640 Speaker 5: Yeah, I mean very functionally similar though. I mean I'm 565 00:28:11,680 --> 00:28:14,640 Speaker 5: not looking for like a huge two thousand and eight 566 00:28:14,760 --> 00:28:19,280 Speaker 5: or nine or even twenty twenty ish decline and economic activity. 567 00:28:19,400 --> 00:28:21,800 Speaker 5: But I mean it's hard to argue that with the 568 00:28:21,960 --> 00:28:24,639 Speaker 5: kinds of interest rate changes that we've had and the 569 00:28:24,680 --> 00:28:28,040 Speaker 5: wild sort of spending spree that we were on that 570 00:28:27,400 --> 00:28:30,200 Speaker 5: that there shouldn't be a period of retrenchment. I think 571 00:28:30,200 --> 00:28:33,280 Speaker 5: there definitely will be, seems to be already started, have 572 00:28:33,400 --> 00:28:39,120 Speaker 5: already started. But whether that evolves into something, you know, 573 00:28:39,160 --> 00:28:41,080 Speaker 5: that's the end of the world, I just don't believe it. 574 00:28:41,160 --> 00:28:44,600 Speaker 5: But I guess, as a famous person once said, the 575 00:28:44,640 --> 00:28:45,600 Speaker 5: future is uncertain. 576 00:28:45,680 --> 00:28:51,040 Speaker 2: So what would be the catalyst to have growth slow down? 577 00:28:51,080 --> 00:28:53,600 Speaker 2: I'm looking at the ECFC function in the tournament that 578 00:28:53,680 --> 00:28:56,600 Speaker 2: obviously looks at the aggregate for economists, and they don't 579 00:28:56,600 --> 00:28:58,920 Speaker 2: have a quarter of for quarter contraction anymore for the 580 00:28:58,960 --> 00:29:00,000 Speaker 2: remaining quarters this year. 581 00:29:02,200 --> 00:29:05,120 Speaker 5: So so this is one of the issues is that 582 00:29:05,160 --> 00:29:08,680 Speaker 5: when we talk about the economy we're talking about. You know, well, 583 00:29:08,720 --> 00:29:12,680 Speaker 5: in the United States, a twenty trillion dollars behemoth. Economies 584 00:29:12,720 --> 00:29:19,080 Speaker 5: are adaptable, they're you know, they're that they're they're dynamic organisms, right, 585 00:29:19,200 --> 00:29:23,000 Speaker 5: So it's very rare for the entire economy just to 586 00:29:23,160 --> 00:29:26,040 Speaker 5: just implode. It's just too big. They're twenty pieces and 587 00:29:26,080 --> 00:29:30,080 Speaker 5: to twenty slices. So what we're I think the nuances 588 00:29:30,280 --> 00:29:33,760 Speaker 5: parts of the economy can slow down enough to give 589 00:29:33,800 --> 00:29:37,520 Speaker 5: the impression of a from a macro standpoint, a slowdown 590 00:29:37,560 --> 00:29:39,680 Speaker 5: that would qualify as a recession. That would be like 591 00:29:39,680 --> 00:29:43,720 Speaker 5: a zero percent, you know kind of growth rate. Where 592 00:29:43,720 --> 00:29:46,200 Speaker 5: where I have trouble, like most people seeing a major 593 00:29:46,240 --> 00:29:49,040 Speaker 5: problem is you know, is employment. Well that really turn 594 00:29:49,080 --> 00:29:51,960 Speaker 5: out with all these shortages and labor shortages we've had 595 00:29:52,000 --> 00:29:54,840 Speaker 5: we have, it's hard to see like a huge, uh, 596 00:29:54,920 --> 00:29:58,360 Speaker 5: you know, labor problem. And then at the same time, 597 00:29:58,400 --> 00:29:59,880 Speaker 5: you have a lot of stimulus and a lot of 598 00:29:59,880 --> 00:30:02,640 Speaker 5: the that five hundred billion dollars really hasn't gone through 599 00:30:02,640 --> 00:30:07,000 Speaker 5: the system yet from the i RA. So there's plenty 600 00:30:07,040 --> 00:30:11,360 Speaker 5: of stimulus. There's you know, the at least fiscal stimulus. 601 00:30:11,400 --> 00:30:14,240 Speaker 5: The monetary stimulus has obviously been tightened. But I mean, 602 00:30:14,240 --> 00:30:18,840 Speaker 5: you know, anecdotally many many, if not most, households refinanced 603 00:30:18,840 --> 00:30:21,760 Speaker 5: at very low rates just just a couple of years ago. 604 00:30:21,800 --> 00:30:23,840 Speaker 5: I mean, there's there's not as much of a direct 605 00:30:23,880 --> 00:30:26,480 Speaker 5: impact like this was a four or five year economic cycle. 606 00:30:26,520 --> 00:30:29,560 Speaker 5: I think interest rates would have much more of a 607 00:30:29,840 --> 00:30:34,640 Speaker 5: kind of impact. But households are turned out where it's 608 00:30:34,680 --> 00:30:36,760 Speaker 5: where you can see the slowdown occurring. It's in this 609 00:30:37,200 --> 00:30:39,160 Speaker 5: it's in the lower end. And we see this, and 610 00:30:39,240 --> 00:30:41,680 Speaker 5: you know the results from companies like a Dollar General, 611 00:30:42,360 --> 00:30:47,000 Speaker 5: which we recently began to purchase, where that consumer is 612 00:30:47,120 --> 00:30:50,280 Speaker 5: hurting from the interest rate increases. But you know, it's 613 00:30:50,280 --> 00:30:52,720 Speaker 5: a smaller segment. It's a lot of people obviously, but 614 00:30:52,720 --> 00:30:55,880 Speaker 5: it's a smaller segment for me as a proportion of 615 00:30:55,880 --> 00:30:59,680 Speaker 5: the total you know, spend in the economy. But you know, 616 00:30:59,720 --> 00:31:02,080 Speaker 5: you can definitely see that there's there's slow down here 617 00:31:02,120 --> 00:31:05,200 Speaker 5: and there. It's just I don't and most people probably 618 00:31:05,240 --> 00:31:07,440 Speaker 5: don't believe that there's going to be a direct hit 619 00:31:07,480 --> 00:31:10,200 Speaker 5: to the entire economy. Those types of you know, where 620 00:31:10,200 --> 00:31:15,840 Speaker 5: the economy quote unquote like uniformly succumbs to weakness, that's 621 00:31:15,920 --> 00:31:19,959 Speaker 5: that tends to be led by a financial you know issue, 622 00:31:20,720 --> 00:31:23,160 Speaker 5: you know, like a banking crisis like we had fifteen 623 00:31:23,240 --> 00:31:23,680 Speaker 5: years ago. 624 00:31:24,280 --> 00:31:26,880 Speaker 3: Just what about what about a regional banking crisis? 625 00:31:28,320 --> 00:31:30,720 Speaker 5: I mean I had had an issue for a brief 626 00:31:30,800 --> 00:31:36,080 Speaker 5: moment of time in that region. But I was just 627 00:31:36,160 --> 00:31:38,400 Speaker 5: talking to some mortgage brokers the other day, and the 628 00:31:38,440 --> 00:31:41,040 Speaker 5: banks are lending. The banks are lending freely, even to 629 00:31:41,200 --> 00:31:47,120 Speaker 5: the distressed homeowners for doing the home equity by lines 630 00:31:47,120 --> 00:31:50,160 Speaker 5: of credit, for instance, to pay off higher interest car loans. 631 00:31:50,200 --> 00:31:52,120 Speaker 5: I mean people are getting by somehow. 632 00:31:53,400 --> 00:31:55,000 Speaker 3: Okay, I'll be I want to talk about some of 633 00:31:55,040 --> 00:31:57,880 Speaker 3: the picks that that you brought with you. I want 634 00:31:57,880 --> 00:31:59,840 Speaker 3: to start with a company that I don't get to 635 00:31:59,840 --> 00:32:02,080 Speaker 3: tell about much, but I'm a cyclist and I saw 636 00:32:02,120 --> 00:32:04,720 Speaker 3: Shamano on your list and some people might know it 637 00:32:04,720 --> 00:32:08,720 Speaker 3: as a fishing tackle company, some as a bicycle component manufacturer. 638 00:32:08,720 --> 00:32:10,600 Speaker 3: Why is Shamano one of your picks? 639 00:32:11,800 --> 00:32:14,480 Speaker 5: You know, that's the like. So a lot of companies 640 00:32:14,560 --> 00:32:19,120 Speaker 5: went through COVID and had a huge you know, biking 641 00:32:19,560 --> 00:32:22,840 Speaker 5: became very popular during COVID because of an outdoor activity, 642 00:32:23,640 --> 00:32:26,239 Speaker 5: and so that a big spike in demand. And now 643 00:32:26,240 --> 00:32:28,480 Speaker 5: you're seeing the other side of that. You know a 644 00:32:28,480 --> 00:32:31,280 Speaker 5: lot of businesses have too much inventory. Retailers have a 645 00:32:31,320 --> 00:32:33,680 Speaker 5: lot of inventory a lot of different things, and especially bikes. 646 00:32:33,680 --> 00:32:38,080 Speaker 5: So there is a you know, this this issue kind 647 00:32:38,080 --> 00:32:42,880 Speaker 5: of cycling through quote unquote the industry, and Shamano's not 648 00:32:42,880 --> 00:32:45,800 Speaker 5: immune to that. Now that said, Chamano's a one of 649 00:32:45,960 --> 00:32:50,360 Speaker 5: really two brands in their space. They kind of more 650 00:32:50,400 --> 00:32:54,200 Speaker 5: or less dominate the bike parts business. These are derailers, 651 00:32:54,240 --> 00:32:56,040 Speaker 5: brake parts and things that you see in a bicycle, 652 00:32:57,160 --> 00:33:00,720 Speaker 5: and typically people suspect the bike with the parts. The 653 00:33:00,760 --> 00:33:02,520 Speaker 5: parts are actually more important than the bike in a 654 00:33:02,560 --> 00:33:05,400 Speaker 5: lot of cases. So it's a it's a branded good, 655 00:33:05,440 --> 00:33:09,640 Speaker 5: it's a it's a franchise. And where there's been technological 656 00:33:09,640 --> 00:33:14,680 Speaker 5: development like electronics, shifting, shifting and whatnot, no, Shamano's led that. 657 00:33:15,560 --> 00:33:19,400 Speaker 5: So to me, it has all the hallmarks of a franchise. 658 00:33:19,560 --> 00:33:24,520 Speaker 5: And in addition, which is somewhat still unusual for Japanese businesses, 659 00:33:24,800 --> 00:33:27,280 Speaker 5: they're very shared work oriented. They buy back stock, they 660 00:33:27,360 --> 00:33:30,760 Speaker 5: be a dividend, They understand what intrinsic value is for 661 00:33:30,840 --> 00:33:34,160 Speaker 5: their own business. And as a consequence, we have a 662 00:33:34,200 --> 00:33:36,040 Speaker 5: great deal of faith and management to be able to 663 00:33:36,200 --> 00:33:39,360 Speaker 5: manage through this type of cycle, and since it's a franchise, 664 00:33:39,680 --> 00:33:42,040 Speaker 5: we're more than willing to give them time. 665 00:33:42,320 --> 00:33:46,360 Speaker 2: We have about a minute left. But Ryanair and Porsche 666 00:33:46,600 --> 00:33:49,080 Speaker 2: also on your list. What do you like about them? 667 00:33:49,840 --> 00:33:53,120 Speaker 5: Well, right here, these are both I'll tyke yiner first. 668 00:33:53,200 --> 00:33:55,960 Speaker 5: Or like Shamano, is a brand is a brand? 669 00:33:56,720 --> 00:33:56,840 Speaker 4: Uh? 670 00:33:57,200 --> 00:34:01,080 Speaker 5: Now? Unlike Shimano, Ryanair's developed their brand by being the 671 00:34:01,080 --> 00:34:04,600 Speaker 5: lowest cost provider and basically commodity industry, which is airlines. 672 00:34:05,520 --> 00:34:10,360 Speaker 5: And they've done that by logging in gates and routes 673 00:34:11,000 --> 00:34:15,040 Speaker 5: to two airports that are off set out the outside 674 00:34:15,080 --> 00:34:18,160 Speaker 5: the city center. And they've done that and have been 675 00:34:18,320 --> 00:34:22,520 Speaker 5: able to provide the lowest cost airline ticket for for 676 00:34:22,640 --> 00:34:26,919 Speaker 5: European travelers. That's a business that, because of the cost 677 00:34:26,960 --> 00:34:30,000 Speaker 5: advantages that they have, seems to gain market share every 678 00:34:30,000 --> 00:34:32,440 Speaker 5: time there's a weakness, and then when things rebound, they 679 00:34:32,480 --> 00:34:38,280 Speaker 5: have emerged with greater number of gates and their routes expand. 680 00:34:38,320 --> 00:34:40,200 Speaker 5: As a results, they just continue to gain market share. 681 00:34:40,239 --> 00:34:41,680 Speaker 5: As much as you can be a franchise in the 682 00:34:41,719 --> 00:34:46,080 Speaker 5: airline industry, they've got them and it's very unlikely that 683 00:34:46,080 --> 00:34:48,600 Speaker 5: anyone can displace them. So let's you know prime the 684 00:34:48,640 --> 00:34:52,360 Speaker 5: primary reasons and again good management, good business model, and 685 00:34:52,920 --> 00:34:54,680 Speaker 5: the balance sheet is very solid to They own all 686 00:34:54,680 --> 00:34:56,680 Speaker 5: the airplanes, which gives me se comfort. They're not sitting 687 00:34:56,680 --> 00:34:57,960 Speaker 5: their releasing them. 688 00:34:58,440 --> 00:35:00,880 Speaker 3: We love it when you join us. That's Bish Bonde 689 00:35:01,760 --> 00:35:05,319 Speaker 3: joining us from Centerstone Investors. He's the founder in CIO 690 00:35:05,560 --> 00:35:08,040 Speaker 3: at the company. Joining us on zoom from New York City. 691 00:35:08,719 --> 00:35:13,360 Speaker 1: This is the Bloomberg Business Week podcast, available on Apple, Spotify, 692 00:35:13,520 --> 00:35:17,240 Speaker 1: and anywhere else you get your podcast. Listen live weekday 693 00:35:17,239 --> 00:35:20,880 Speaker 1: afternoons from three to six Eastern on Bloomberg dot com, 694 00:35:20,920 --> 00:35:24,239 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business App. 695 00:35:24,280 --> 00:35:27,359 Speaker 1: You can also watch us live every weekday on YouTube 696 00:35:27,440 --> 00:35:29,680 Speaker 1: and always on the Bloomberg journyalone