1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets podcast 5 00:00:15,560 --> 00:00:18,439 Speaker 1: called Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,919 Speaker 1: at Bloomberg dot com slash podcast. We are sort of 7 00:00:22,960 --> 00:00:25,080 Speaker 1: scrambling around here because we have the CEO of Nissan 8 00:00:25,120 --> 00:00:26,880 Speaker 1: coming in and I wanted to get up in bow 9 00:00:27,440 --> 00:00:31,760 Speaker 1: because that's what you do um in Japanese business. But 10 00:00:32,000 --> 00:00:36,040 Speaker 1: I feel underdressed now because it's a Thursday just we're 11 00:00:36,080 --> 00:00:38,440 Speaker 1: a flannel shirt. But thank you so much for joining us. 12 00:00:38,680 --> 00:00:41,040 Speaker 1: Pleasure having in. Let me turn on your mic there. UM. 13 00:00:41,080 --> 00:00:43,960 Speaker 1: We have so many questions and we're so uh excited 14 00:00:43,960 --> 00:00:46,519 Speaker 1: that you came in. UM. Nissan is a business that's 15 00:00:46,520 --> 00:00:50,760 Speaker 1: been doing really well uh lately, not only because of 16 00:00:50,800 --> 00:00:54,240 Speaker 1: the popularity of the cars, um, but also because of 17 00:00:54,280 --> 00:00:58,240 Speaker 1: the weakness of the yen. I wonder what you plan 18 00:00:58,400 --> 00:01:01,160 Speaker 1: to do with the extra profits that you're making. It 19 00:01:01,200 --> 00:01:03,840 Speaker 1: seems like you're in a great position to invest well. 20 00:01:03,920 --> 00:01:05,800 Speaker 1: First of all, thank you for having me here. It's 21 00:01:05,840 --> 00:01:09,160 Speaker 1: my pleasure to be in this radio. Uh. You talked 22 00:01:09,160 --> 00:01:11,840 Speaker 1: about the extent where it has been benefiting financially on 23 00:01:11,880 --> 00:01:15,280 Speaker 1: our our profit which is true at the short term, 24 00:01:15,600 --> 00:01:18,160 Speaker 1: but we also need to be aware that our cost 25 00:01:18,560 --> 00:01:22,440 Speaker 1: in terms of raw material is increasing at the level 26 00:01:22,720 --> 00:01:26,160 Speaker 1: even higher than the exchange rate gains, so that is 27 00:01:26,240 --> 00:01:29,480 Speaker 1: kind of making that the situation of the profitability. On 28 00:01:29,560 --> 00:01:32,040 Speaker 1: top of that, we do have a good performance in 29 00:01:32,040 --> 00:01:35,280 Speaker 1: our company in terms of about sales mix and how 30 00:01:35,360 --> 00:01:38,000 Speaker 1: we're making that good product to the customer to give 31 00:01:38,040 --> 00:01:41,399 Speaker 1: the good value to the customer. That is making up 32 00:01:41,840 --> 00:01:44,440 Speaker 1: financial outlook which we announced in last month to be 33 00:01:44,480 --> 00:01:47,880 Speaker 1: a little bit more positive. Beside, we're speaking with Makoto Cheeta, 34 00:01:48,000 --> 00:01:51,320 Speaker 1: CEO and President of Nissan Motor Corporation. Mr. Cheetah. One 35 00:01:51,360 --> 00:01:53,640 Speaker 1: of the unique things about your company, about the Nichean 36 00:01:53,880 --> 00:01:57,280 Speaker 1: Motor Corporation is the relationship with Rena and the ownership 37 00:01:57,360 --> 00:01:59,360 Speaker 1: cross ownership with renew Can you talk to us about 38 00:01:59,640 --> 00:02:02,520 Speaker 1: the state of that today and how that may change 39 00:02:02,560 --> 00:02:05,640 Speaker 1: going forward. Yeah, what we are discussing with our partners 40 00:02:05,760 --> 00:02:08,160 Speaker 1: how we can make the alliance to the next stage 41 00:02:08,600 --> 00:02:11,840 Speaker 1: to be more competitive and knowing that the identification is 42 00:02:11,880 --> 00:02:14,440 Speaker 1: one of the next la for the automotive industry we 43 00:02:14,480 --> 00:02:16,960 Speaker 1: are facing everywhere in the world and how we can 44 00:02:17,000 --> 00:02:20,480 Speaker 1: maximize the asset that we built under the Alliance father 45 00:02:20,800 --> 00:02:23,120 Speaker 1: to be competitive, and that is what we are in 46 00:02:23,200 --> 00:02:26,800 Speaker 1: discussion with our partner every day. We have a bank 47 00:02:26,840 --> 00:02:29,440 Speaker 1: of TV screens here and you can see half of 48 00:02:29,480 --> 00:02:32,320 Speaker 1: them are full of President Biden right now meeting with 49 00:02:32,400 --> 00:02:36,160 Speaker 1: French President Emmanuel McCrone. One of the things um that 50 00:02:36,280 --> 00:02:39,160 Speaker 1: they are reportedly going to talk about is the Inflation 51 00:02:39,200 --> 00:02:41,960 Speaker 1: Reduction Act, which a lot of people in Europe and 52 00:02:42,000 --> 00:02:46,840 Speaker 1: I imagine um in Japan as well think unfairly benefits 53 00:02:46,960 --> 00:02:51,799 Speaker 1: US carmakers. What's your take on the Inflation Reduction Act 54 00:02:51,840 --> 00:02:56,920 Speaker 1: and the credits that seem um to be only for 55 00:02:57,919 --> 00:03:01,359 Speaker 1: made in US, not only vehicle rolls assembled in US vehicles, 56 00:03:01,360 --> 00:03:05,919 Speaker 1: but also vehicles with a certain amount of US sourced parts. Well, 57 00:03:05,960 --> 00:03:08,240 Speaker 1: what I can say at this moment is that, of course, 58 00:03:08,320 --> 00:03:12,359 Speaker 1: the electification in the US has become more visible done 59 00:03:12,440 --> 00:03:14,600 Speaker 1: right in the two or three years ago, which is 60 00:03:14,639 --> 00:03:18,400 Speaker 1: making us more future opportunity. We already have declare ourselves 61 00:03:18,440 --> 00:03:21,440 Speaker 1: to be farther invest for the electification in the US 62 00:03:21,480 --> 00:03:24,040 Speaker 1: at the level of the five hundred million dollar and 63 00:03:24,080 --> 00:03:26,960 Speaker 1: that we are considering additional two hundred fifty million dollar 64 00:03:27,240 --> 00:03:31,239 Speaker 1: in order to make identified strategy and to be accepted 65 00:03:31,320 --> 00:03:34,000 Speaker 1: the customer for our value of the Nissan in the future. 66 00:03:34,160 --> 00:03:36,480 Speaker 1: So this is what we're trying to do. Um I 67 00:03:36,760 --> 00:03:38,600 Speaker 1: l A. Yes, it's a challenging in the short term, 68 00:03:38,640 --> 00:03:40,640 Speaker 1: but there could be the opportunity in the future. How 69 00:03:40,720 --> 00:03:43,840 Speaker 1: we father to press ourselves here in the United States 70 00:03:43,880 --> 00:03:46,960 Speaker 1: of our presence, Mr. Treat As you probably know as 71 00:03:47,000 --> 00:03:51,440 Speaker 1: you travel around America that Americans like their pickup trucks 72 00:03:51,600 --> 00:03:55,560 Speaker 1: and from an electric vehicle perspective, my census, if you 73 00:03:55,560 --> 00:03:58,360 Speaker 1: don't have an electric pickup truck, you don't have really 74 00:03:58,440 --> 00:04:00,760 Speaker 1: a market position in the US. Talk to us about 75 00:04:00,840 --> 00:04:02,720 Speaker 1: niche on and how maybe they think about that part 76 00:04:02,760 --> 00:04:04,920 Speaker 1: of the market. Yeah, we're looking towards the two thousand 77 00:04:04,960 --> 00:04:08,920 Speaker 1: thirty to introduce electified vehicle of twenty three models. Out 78 00:04:08,920 --> 00:04:11,480 Speaker 1: of that fifteen our evs and we have a lot 79 00:04:11,520 --> 00:04:13,600 Speaker 1: of plan. And then when you talk about the US, 80 00:04:13,800 --> 00:04:17,359 Speaker 1: as you mentioned that the pickup is very important segment 81 00:04:17,400 --> 00:04:20,000 Speaker 1: that we have to glow in the future. Yeah, we 82 00:04:20,040 --> 00:04:22,440 Speaker 1: are looking at further we have a title and we 83 00:04:22,440 --> 00:04:25,120 Speaker 1: have middle sized pickup as well, and we did like 84 00:04:25,240 --> 00:04:28,520 Speaker 1: to have our value to be father to recognize by 85 00:04:28,520 --> 00:04:31,440 Speaker 1: the customer. And when we talk about electified vehicle, we 86 00:04:31,480 --> 00:04:33,960 Speaker 1: are planning a lot of things here in the US. 87 00:04:34,000 --> 00:04:35,479 Speaker 1: And one of the things that I did would like 88 00:04:35,520 --> 00:04:38,279 Speaker 1: to take this occasion to highlight is that we do 89 00:04:38,440 --> 00:04:41,600 Speaker 1: have our new technology challenging today on the battery called 90 00:04:42,279 --> 00:04:45,120 Speaker 1: a S S B ALSOLD state battery and this is 91 00:04:45,160 --> 00:04:48,159 Speaker 1: to be introduced in first in Japan as a propilot 92 00:04:48,200 --> 00:04:51,240 Speaker 1: plant in two twenty four. Then we were looking for 93 00:04:51,279 --> 00:04:55,480 Speaker 1: this commercially and this battery specification would allow or enable 94 00:04:55,760 --> 00:04:59,160 Speaker 1: more frexibility of the size of the car to be electric. 95 00:04:59,520 --> 00:05:01,560 Speaker 1: So this is what we are challenging as a Nissan 96 00:05:01,800 --> 00:05:04,000 Speaker 1: as we have been working for the electified vehicle or 97 00:05:04,040 --> 00:05:06,600 Speaker 1: electric car. As one of the pioneer started was a 98 00:05:06,640 --> 00:05:09,599 Speaker 1: Leap with a sudden ten and we do have a 99 00:05:09,640 --> 00:05:13,880 Speaker 1: thirty years over experience of this battery chemistry in our company. 100 00:05:14,279 --> 00:05:17,800 Speaker 1: I wonder what my favorite car clearly is Godzilla? Right. 101 00:05:17,839 --> 00:05:22,599 Speaker 1: The g t r um is legendary, you know, said 102 00:05:22,640 --> 00:05:25,960 Speaker 1: to be um produced by the motor. Only four people 103 00:05:26,000 --> 00:05:29,080 Speaker 1: are allowed to assemble the motor in Japan. Is that true? 104 00:05:30,080 --> 00:05:32,359 Speaker 1: What's the what are the plans for Godzilla can? Are 105 00:05:32,400 --> 00:05:34,640 Speaker 1: you gonna make it into a hybrid? Is there is 106 00:05:34,680 --> 00:05:38,000 Speaker 1: there a new electric Godzilla coming that I can talk 107 00:05:38,040 --> 00:05:40,479 Speaker 1: about the future product yet, But what I can say 108 00:05:40,480 --> 00:05:43,039 Speaker 1: about it is that the how Nistan father to make 109 00:05:43,120 --> 00:05:46,280 Speaker 1: the eniche people's life. This is our corporate purpose and 110 00:05:46,320 --> 00:05:48,520 Speaker 1: then Nissan is making fun this sports car like a 111 00:05:48,600 --> 00:05:51,560 Speaker 1: GDR as you mentioned, and to down to the electric 112 00:05:51,600 --> 00:05:53,240 Speaker 1: car that we have. I love the Z as well, 113 00:05:54,040 --> 00:05:57,280 Speaker 1: especially in yellow. It's a great My first car as 114 00:05:57,279 --> 00:06:00,080 Speaker 1: a Z nice and I do like to have a 115 00:06:00,120 --> 00:06:03,039 Speaker 1: sports car to be father to deliver to the customer. 116 00:06:03,440 --> 00:06:05,479 Speaker 1: And we have to think about what kind of the 117 00:06:05,520 --> 00:06:08,919 Speaker 1: future power train or we have to consider for this 118 00:06:09,000 --> 00:06:11,640 Speaker 1: kind of sports card as well. Mr Cheated China, talk 119 00:06:11,680 --> 00:06:14,880 Speaker 1: to us about your position in China. What you think 120 00:06:14,880 --> 00:06:17,000 Speaker 1: the future China is. That's certainly a big issue here 121 00:06:17,040 --> 00:06:20,240 Speaker 1: in the United States. Well, China. I think it's still 122 00:06:20,240 --> 00:06:22,479 Speaker 1: the big market that we are. The media or ems 123 00:06:22,480 --> 00:06:25,520 Speaker 1: are experimentally doing the business case and it will continue 124 00:06:25,600 --> 00:06:27,960 Speaker 1: as you see in the scale of the market. But 125 00:06:28,440 --> 00:06:30,279 Speaker 1: I see the world now it's going to be more 126 00:06:30,480 --> 00:06:33,280 Speaker 1: on the maybe the right way of saying English. I'm 127 00:06:33,320 --> 00:06:36,920 Speaker 1: not so sure about fragmented okay especially the elxification. Each 128 00:06:36,960 --> 00:06:41,760 Speaker 1: country has a different speed and customers acceptance. And what 129 00:06:41,920 --> 00:06:44,400 Speaker 1: is important for us is how we can design ourselves 130 00:06:44,400 --> 00:06:46,680 Speaker 1: towards to that. What is for you as what is 131 00:06:46,720 --> 00:06:48,560 Speaker 1: for your what is what China? What is what Japan? 132 00:06:49,000 --> 00:06:50,880 Speaker 1: And that's going to be a challenging for the next 133 00:06:50,880 --> 00:06:53,279 Speaker 1: five to ten years. That's the reason why we have 134 00:06:53,400 --> 00:06:56,200 Speaker 1: announced sumption to Southern thirty and we're going to do 135 00:06:56,320 --> 00:07:00,000 Speaker 1: out the more detailed plan on the e respective. Mark 136 00:07:00,360 --> 00:07:04,239 Speaker 1: Okayo Cheetah, a CEO and president of Nissan Motor Company, 137 00:07:04,320 --> 00:07:06,360 Speaker 1: joining us live in our Bloomberg in Erector Brooker Studio. 138 00:07:06,360 --> 00:07:09,000 Speaker 1: We really appreciate you taking time to speak with us 139 00:07:09,040 --> 00:07:12,240 Speaker 1: and learn about what's the latest with the Nissan Motor Corporation. 140 00:07:15,280 --> 00:07:18,320 Speaker 1: So I put in DAL Drones Industrials Index Space m 141 00:07:18,360 --> 00:07:21,720 Speaker 1: o V for movers, and I find that costs, I 142 00:07:21,720 --> 00:07:24,480 Speaker 1: mean the salesforce accounts for a hundred and twelve points 143 00:07:24,520 --> 00:07:27,560 Speaker 1: of the four point decline in the Dow Jones Industrial 144 00:07:27,600 --> 00:07:30,360 Speaker 1: So I need to go. It's literally been decimated. So 145 00:07:30,400 --> 00:07:33,320 Speaker 1: a lot of people think decimated is reduced to one tenth, 146 00:07:33,360 --> 00:07:38,480 Speaker 1: but actually it's yes, exactly, So you're using the correct Okay, 147 00:07:40,240 --> 00:07:44,000 Speaker 1: Man Deep Singh senior technology annels for Bloomberg Intelligence. We 148 00:07:44,080 --> 00:07:46,040 Speaker 1: got them both here in the studio on right, What 149 00:07:46,080 --> 00:07:47,600 Speaker 1: how do you guys divide it? I don't rock, what 150 00:07:47,600 --> 00:07:50,840 Speaker 1: do you cover that Man Deep doesn't? And vice versa? 151 00:07:52,240 --> 00:07:55,560 Speaker 1: The Internet names Okay, I don't know. I just they 152 00:07:55,560 --> 00:07:58,880 Speaker 1: do it all their tech. I just throw tech, hardware, software, Internet, 153 00:07:58,880 --> 00:08:02,200 Speaker 1: I just throw them eat at each very different. Yes, 154 00:08:02,320 --> 00:08:06,040 Speaker 1: and and that's what you'll see sales force versus All right, 155 00:08:06,080 --> 00:08:09,080 Speaker 1: let's go a salesforce on that's your name. We'll assign 156 00:08:09,120 --> 00:08:11,040 Speaker 1: the blame to you. What happened to them because they 157 00:08:11,120 --> 00:08:14,400 Speaker 1: were just ripping it for so long? Yeah, so it's 158 00:08:14,440 --> 00:08:16,960 Speaker 1: falling in the same category of you know, macro yt 159 00:08:17,080 --> 00:08:19,960 Speaker 1: spending slow down. Now. I think the stock reaction would 160 00:08:19,960 --> 00:08:22,840 Speaker 1: have been less worse if work they didn't announce spectacular 161 00:08:22,840 --> 00:08:25,880 Speaker 1: results the day before UM. And so that's one culprit. 162 00:08:25,960 --> 00:08:28,960 Speaker 1: The second is that co CEO Brett Taylor decides to 163 00:08:29,000 --> 00:08:30,960 Speaker 1: leave and start you know, it's gonna most likely start 164 00:08:30,960 --> 00:08:33,160 Speaker 1: a new company. I think that puts a little bit 165 00:08:33,200 --> 00:08:35,440 Speaker 1: of haziness at the top. There have been a few 166 00:08:35,480 --> 00:08:37,880 Speaker 1: CEOs or co CEOs that have left in the last 167 00:08:37,920 --> 00:08:40,120 Speaker 1: few years. So it really people want to figure out 168 00:08:40,160 --> 00:08:42,480 Speaker 1: is what's Mark Bennehoff going to do when it comes 169 00:08:42,480 --> 00:08:44,440 Speaker 1: to leadership on the top. So I think both both 170 00:08:44,440 --> 00:08:47,600 Speaker 1: those factors are weighing on sales force today. But in general, 171 00:08:47,679 --> 00:08:51,600 Speaker 1: we've seen a lot of bad news or not good 172 00:08:51,640 --> 00:08:56,000 Speaker 1: news out of these software companies over the last few days. Right, 173 00:08:56,080 --> 00:09:00,320 Speaker 1: CrowdStrike was not good. I didn't think, um that we're 174 00:09:00,320 --> 00:09:03,559 Speaker 1: gonna see gains in Snowflake, but it's now turned around 175 00:09:03,559 --> 00:09:05,720 Speaker 1: in the market. Nonetheless, the outlook isn't great. You know, 176 00:09:06,320 --> 00:09:09,720 Speaker 1: are people spending less on these services they see they 177 00:09:09,720 --> 00:09:12,800 Speaker 1: are all old spending services less on some of these services. 178 00:09:12,840 --> 00:09:16,760 Speaker 1: But remember one thing, it's also question of valuation and 179 00:09:16,800 --> 00:09:19,800 Speaker 1: how much estimates have been reduced. So every stock is different, 180 00:09:19,840 --> 00:09:21,880 Speaker 1: every company is different. In areas where they have been 181 00:09:22,000 --> 00:09:23,880 Speaker 1: estimates have been cut down quite a bit, they are 182 00:09:23,920 --> 00:09:26,079 Speaker 1: not responding, you know, from a stock point of view 183 00:09:26,120 --> 00:09:28,920 Speaker 1: as bad. In some places where it's not been cut down, 184 00:09:29,160 --> 00:09:31,680 Speaker 1: people are surprised by what happened. You know, stock reaction 185 00:09:31,760 --> 00:09:34,160 Speaker 1: is bad. Crowds right is a great example. Salesforce is 186 00:09:34,200 --> 00:09:37,280 Speaker 1: a great example. Over there, a man deep we have 187 00:09:37,679 --> 00:09:40,959 Speaker 1: the I think just only a silicon you're only doing 188 00:09:41,000 --> 00:09:44,320 Speaker 1: Silicon Valley. H Elon Musk tweeting out that he was 189 00:09:44,360 --> 00:09:48,320 Speaker 1: at the Apple campus in Cupertino, California. Rewind First, he 190 00:09:48,360 --> 00:09:51,080 Speaker 1: tweeted out that he was going to war with Apple. Yes, 191 00:09:51,160 --> 00:09:52,960 Speaker 1: he said, you know what, they threatened to take us 192 00:09:53,000 --> 00:09:56,160 Speaker 1: out of the app store. They charge us thirty it's 193 00:09:56,160 --> 00:09:59,120 Speaker 1: a monopoly they're abusing, and when we choose to go 194 00:09:59,280 --> 00:10:01,560 Speaker 1: to war. Then he went to the Cupertino campus and 195 00:10:01,559 --> 00:10:06,160 Speaker 1: he was like, oh, we're great friends. Well, so a 196 00:10:06,200 --> 00:10:08,840 Speaker 1: couple of things they're one is I don't think he 197 00:10:08,960 --> 00:10:12,480 Speaker 1: realized that if they pivot to a subscription model, Apple 198 00:10:12,520 --> 00:10:15,560 Speaker 1: will be taking a thirty percent cut. Remember Twitter was 199 00:10:15,640 --> 00:10:20,480 Speaker 1: all advertising. With advertising, you're monetizing the time span through 200 00:10:20,600 --> 00:10:23,160 Speaker 1: by showing ads. You don't have to pay Apple anything. 201 00:10:23,440 --> 00:10:26,880 Speaker 1: With subscription, it's very different because if people sign up 202 00:10:26,920 --> 00:10:29,560 Speaker 1: for a subscription on the phone, Apple is taking a 203 00:10:29,600 --> 00:10:33,360 Speaker 1: thirty percent cut. So as he pivoted to subscriptions, I 204 00:10:33,400 --> 00:10:36,120 Speaker 1: think he realized that Apple will be taking a cut, 205 00:10:36,160 --> 00:10:38,880 Speaker 1: and he complained about the take rades, which Epic has 206 00:10:38,920 --> 00:10:41,960 Speaker 1: done before, and a number of other companies, gaming companies 207 00:10:42,000 --> 00:10:46,240 Speaker 1: that rely on a subscription model on the phone. They 208 00:10:46,280 --> 00:10:48,800 Speaker 1: talk about, you know how Apple has a very high 209 00:10:48,800 --> 00:10:52,560 Speaker 1: take rate and and so does Android and Google. But 210 00:10:52,760 --> 00:10:56,559 Speaker 1: the advertising side was much more cleaner in terms of 211 00:10:56,600 --> 00:10:59,719 Speaker 1: paying to Apple. But now he realizes, right, and he 212 00:11:00,000 --> 00:11:02,800 Speaker 1: eats his chest and he talks a big game, and 213 00:11:02,840 --> 00:11:07,400 Speaker 1: then somehow he ends up at Apple's headquarters and Tim 214 00:11:07,400 --> 00:11:10,880 Speaker 1: Cook just quietly puts him in his place because there 215 00:11:11,040 --> 00:11:12,840 Speaker 1: is no way out of it. And that's what a 216 00:11:12,960 --> 00:11:17,439 Speaker 1: number of gaming companies have realized. That power off Apple's platform, 217 00:11:17,640 --> 00:11:21,240 Speaker 1: that is the biggest distribution channel out there. Even if 218 00:11:21,240 --> 00:11:23,800 Speaker 1: they charge the high take rades, you have no option 219 00:11:23,960 --> 00:11:26,280 Speaker 1: right now but to pay for it. And you can't 220 00:11:26,280 --> 00:11:28,959 Speaker 1: build your own phone or you know, launch a service 221 00:11:29,040 --> 00:11:31,640 Speaker 1: outside of this is what Anora was. I was having 222 00:11:31,640 --> 00:11:33,760 Speaker 1: this discussion with Anorag yesterday and I said, you know 223 00:11:33,800 --> 00:11:35,920 Speaker 1: what he's gonna I thought Musk would take this to 224 00:11:36,000 --> 00:11:38,560 Speaker 1: Republicans and they would raise a free speech problem and 225 00:11:38,559 --> 00:11:42,719 Speaker 1: they would move some legislation through Congress. And Anorag was like, nope, no, 226 00:11:43,679 --> 00:11:46,959 Speaker 1: I mean no, no, it's not that I think it's 227 00:11:47,000 --> 00:11:49,840 Speaker 1: a very simple thing. If Tim Cooks tells him you 228 00:11:49,880 --> 00:11:51,959 Speaker 1: want a business, turn it out, I'll help you do it. 229 00:11:52,559 --> 00:11:54,600 Speaker 1: What what is the you know? I think that's a 230 00:11:54,679 --> 00:11:56,920 Speaker 1: much more easier way to fix it. We'll figure it 231 00:11:56,920 --> 00:11:59,079 Speaker 1: out a way. You just don't put X amount of 232 00:11:59,160 --> 00:12:01,760 Speaker 1: content there, will make sure we advertise mode. And I 233 00:12:01,840 --> 00:12:03,920 Speaker 1: think that's a it's a more logical and a more 234 00:12:04,000 --> 00:12:06,360 Speaker 1: friendly approach to fix things. It's a more silicon value 235 00:12:06,360 --> 00:12:09,160 Speaker 1: way to go. I mean they're also zen out there, um, 236 00:12:09,320 --> 00:12:10,839 Speaker 1: unlike you two guys. All right, so we got on 237 00:12:11,200 --> 00:12:13,400 Speaker 1: Ron and we got man deep sing uh. They cover 238 00:12:13,480 --> 00:12:16,440 Speaker 1: all this tech stuff for bloombergin. Who does hardware? By 239 00:12:16,440 --> 00:12:18,360 Speaker 1: the way, like if I need a hardware call, who 240 00:12:18,360 --> 00:12:21,439 Speaker 1: do I go to? What is hardware? Like the computer stuff? 241 00:12:21,679 --> 00:12:25,160 Speaker 1: Let me make one comment is you know the chip 242 00:12:25,200 --> 00:12:29,200 Speaker 1: companies are missing so much talking about estimate cuts, software misses. 243 00:12:29,280 --> 00:12:32,640 Speaker 1: Our s like slave in comparison to the misses. So 244 00:12:32,800 --> 00:12:34,720 Speaker 1: that's one thing to be mindful of. When you said 245 00:12:34,800 --> 00:12:37,880 Speaker 1: snowflake missed, okay, compare it to an N video or 246 00:12:37,880 --> 00:12:39,440 Speaker 1: an E M D miss Alright, a lot of good 247 00:12:39,440 --> 00:12:41,040 Speaker 1: tech stuff here. We can do it all day long. 248 00:12:44,120 --> 00:12:46,680 Speaker 1: I don't know. I was definitely dialed in yesterday to 249 00:12:46,720 --> 00:12:49,720 Speaker 1: the sand Bank Freed interview Andrew Ross Sorkin at the 250 00:12:49,760 --> 00:12:52,480 Speaker 1: deal Book conference yesterday. I thought Andrew did an excellent 251 00:12:52,559 --> 00:12:56,079 Speaker 1: job from a really weird topic, I guess, but I 252 00:12:56,120 --> 00:12:58,520 Speaker 1: was riveted. But it's the first time I've seen Sam 253 00:12:58,520 --> 00:13:01,240 Speaker 1: bankman Free speak, so you know, I'm not sure what 254 00:13:01,280 --> 00:13:04,959 Speaker 1: to compare to, but it's certainly a key, key issue 255 00:13:05,000 --> 00:13:08,360 Speaker 1: in this whole crypto space here. So any massa who's 256 00:13:08,440 --> 00:13:11,520 Speaker 1: part of the team here, she's an investing reporter Bloomberg News, 257 00:13:11,559 --> 00:13:13,319 Speaker 1: but she's part of this team here Bloomberg News that's 258 00:13:13,360 --> 00:13:17,600 Speaker 1: done an extraordinary job covering all things crypto and kind 259 00:13:17,600 --> 00:13:19,920 Speaker 1: of how this whole space is evolving and some of 260 00:13:19,920 --> 00:13:22,160 Speaker 1: the real big stumbles were seeing out there, including ft 261 00:13:22,320 --> 00:13:24,160 Speaker 1: X and any massive joins us here in our studio. 262 00:13:24,559 --> 00:13:28,640 Speaker 1: Any what did you make of Sam bankman Fried's interview yesterday? Testimony? 263 00:13:28,679 --> 00:13:30,040 Speaker 1: You want to say, I felt like I was just 264 00:13:30,080 --> 00:13:34,040 Speaker 1: about to say testimony, But you know, his interview, Well, 265 00:13:34,080 --> 00:13:37,320 Speaker 1: there was a lot of hype around this interview because 266 00:13:37,360 --> 00:13:39,280 Speaker 1: he had been on the program to speak at the 267 00:13:39,320 --> 00:13:41,600 Speaker 1: deal Book conference long before the blow up in f 268 00:13:41,679 --> 00:13:44,360 Speaker 1: t X, so people were watching very closely and wondering 269 00:13:44,400 --> 00:13:46,520 Speaker 1: if he was going to appear at all, and he did. 270 00:13:46,640 --> 00:13:48,840 Speaker 1: So that was a moment when he actually appeared on 271 00:13:48,840 --> 00:13:51,320 Speaker 1: the screen. As far as what he actually said in 272 00:13:51,360 --> 00:13:55,240 Speaker 1: the interview, he didn't give. He answered a lot of questions, 273 00:13:55,360 --> 00:13:57,520 Speaker 1: but he didn't give a lot of answers, if you 274 00:13:57,559 --> 00:14:02,760 Speaker 1: know what I mean. He verry consciously, I would surmise, 275 00:14:03,559 --> 00:14:07,600 Speaker 1: kept this profile of kind of looking like downcast eyes, 276 00:14:07,640 --> 00:14:10,800 Speaker 1: bowing his head, saying I screwed up. I was the CEO, 277 00:14:11,160 --> 00:14:15,560 Speaker 1: I'm responsible. So he said a lot of that sort 278 00:14:15,600 --> 00:14:18,520 Speaker 1: of thing. He didn't give a lot of answers um 279 00:14:18,559 --> 00:14:22,720 Speaker 1: and did his typical deflecting as far as what actually 280 00:14:22,760 --> 00:14:25,960 Speaker 1: went down, which probably was to be expected. He clearly 281 00:14:25,960 --> 00:14:30,440 Speaker 1: didn't want to incriminate himself, and Andrew really wanted to 282 00:14:30,480 --> 00:14:33,800 Speaker 1: incriminate him, and he kept using the term co mingling, 283 00:14:34,200 --> 00:14:36,600 Speaker 1: as if that's just a daily term we throw around. 284 00:14:36,920 --> 00:14:39,680 Speaker 1: But um, I thought I came away with a pretty 285 00:14:39,680 --> 00:14:42,520 Speaker 1: clear picture of if you take Sam Bankman free at 286 00:14:42,560 --> 00:14:48,080 Speaker 1: his word of what happened, it seemed like Alameda, which 287 00:14:48,600 --> 00:14:51,440 Speaker 1: you know, he says he was trying to distance himself 288 00:14:51,480 --> 00:14:56,480 Speaker 1: from had massive margin positions all over town, and after 289 00:14:56,560 --> 00:15:01,240 Speaker 1: the collapse of Terror Luna, they just shifted those margin 290 00:15:01,320 --> 00:15:04,680 Speaker 1: positions onto F t X, right because they were called 291 00:15:04,720 --> 00:15:08,520 Speaker 1: everywhere else and they had nowhere else to go. Um. 292 00:15:08,640 --> 00:15:12,080 Speaker 1: The part that's hard to believe if that's what happened, 293 00:15:12,440 --> 00:15:15,440 Speaker 1: is that he had no idea that that was happening. Yeah, 294 00:15:15,520 --> 00:15:17,800 Speaker 1: I mean, I would say, you have to take everything 295 00:15:17,840 --> 00:15:23,880 Speaker 1: he says. He's he's a very slippery personality, and exactly 296 00:15:24,400 --> 00:15:29,760 Speaker 1: so all the disclaimers that you just mentioned, Um, he 297 00:15:30,520 --> 00:15:32,760 Speaker 1: I just I think it's hard to take anything that 298 00:15:32,800 --> 00:15:34,600 Speaker 1: he says at face value. Some of the things he 299 00:15:34,640 --> 00:15:38,760 Speaker 1: said were demonstrably false. But to your point, he was 300 00:15:39,080 --> 00:15:42,600 Speaker 1: a owner we know from the bankruptcy filings of Alameda, 301 00:15:42,800 --> 00:15:45,960 Speaker 1: So to say that he didn't know what the positions were, 302 00:15:46,360 --> 00:15:50,880 Speaker 1: I would treat that with a lot of skepticism. The thing, Yeah, 303 00:15:50,960 --> 00:15:54,160 Speaker 1: The other thing is he lived there in the Bahamas 304 00:15:54,200 --> 00:15:59,800 Speaker 1: with the the heads of Alameda. So again, like you're 305 00:16:00,000 --> 00:16:05,280 Speaker 1: living in an apartment in an environment together with these people. 306 00:16:05,520 --> 00:16:09,000 Speaker 1: Just to say that you had no idea seems um, 307 00:16:09,160 --> 00:16:13,080 Speaker 1: seems hard to believe to me. It did seem like, um, 308 00:16:13,200 --> 00:16:16,160 Speaker 1: they were living it up down there. I mean every 309 00:16:16,200 --> 00:16:18,520 Speaker 1: employee who came down like got a house and a 310 00:16:18,600 --> 00:16:21,560 Speaker 1: car and they were all allowed to two worth of 311 00:16:21,600 --> 00:16:25,040 Speaker 1: free food. How can you two hundred door dash a 312 00:16:25,160 --> 00:16:27,400 Speaker 1: day like that would be difficult even for me and 313 00:16:27,480 --> 00:16:33,640 Speaker 1: I eat a lot um. So definitely there were no controls, right. 314 00:16:33,920 --> 00:16:38,400 Speaker 1: But um, it seems like even now he's operating without control, 315 00:16:38,400 --> 00:16:41,000 Speaker 1: why would he do this? Wouldn't his lawyers tell him 316 00:16:41,000 --> 00:16:45,240 Speaker 1: not to? His parents are lawyers, right? So Andrew did 317 00:16:45,320 --> 00:16:48,800 Speaker 1: ask him at one point, dear lawyers know you're doing this. 318 00:16:48,880 --> 00:16:51,360 Speaker 1: What do they say? And Sam said something like they 319 00:16:51,480 --> 00:16:53,320 Speaker 1: very much are not on board with me doing this. 320 00:16:53,920 --> 00:16:56,160 Speaker 1: And again, who knows if that's true or false. It 321 00:16:56,200 --> 00:16:58,400 Speaker 1: does seem to be a bit of an image. The 322 00:16:58,560 --> 00:17:00,440 Speaker 1: lawyer in the world will be okay with even a 323 00:17:00,440 --> 00:17:03,120 Speaker 1: bad lawyer, but his parents are like Stanford professor, good lawyer. 324 00:17:03,240 --> 00:17:05,800 Speaker 1: It's it's hard, it's hard. It's really hard to fathom 325 00:17:05,840 --> 00:17:07,920 Speaker 1: why they would why they would let him get out 326 00:17:07,960 --> 00:17:11,280 Speaker 1: there on the record. Um. To your point about the 327 00:17:11,320 --> 00:17:15,680 Speaker 1: freewheeling culture that they had in the Bahamas, Andrew did 328 00:17:15,800 --> 00:17:20,080 Speaker 1: ask him about that, and Sam insisted again use all 329 00:17:20,119 --> 00:17:22,399 Speaker 1: the grains of salt you like with us, he said, 330 00:17:22,840 --> 00:17:25,360 Speaker 1: the only drug use we had was prescription drug use. 331 00:17:25,440 --> 00:17:29,199 Speaker 1: I use drugs like you know, medication for focus and 332 00:17:29,240 --> 00:17:32,199 Speaker 1: things like that. But but there wasn't any crazy partying. 333 00:17:32,200 --> 00:17:35,000 Speaker 1: All we did was like playboard games when we partied. 334 00:17:35,200 --> 00:17:37,400 Speaker 1: So that was a funny moment. And again I think 335 00:17:37,440 --> 00:17:40,320 Speaker 1: you kind of have to raise an eyebrow. So you know, 336 00:17:40,359 --> 00:17:43,600 Speaker 1: it's been several weeks here and we're talking billions, maybe 337 00:17:43,600 --> 00:17:47,520 Speaker 1: tens of billions of dollars here, uh, and customer losses. 338 00:17:48,720 --> 00:17:53,359 Speaker 1: What's the next step from a legal perspective of a 339 00:17:53,480 --> 00:17:55,760 Speaker 1: police perspective. I mean, he's just sitting down there in 340 00:17:55,760 --> 00:17:58,080 Speaker 1: the Bahamas. I want to know if anyone's gonna go 341 00:17:58,080 --> 00:18:02,159 Speaker 1: down there and grab him right, good question. Either the 342 00:18:02,280 --> 00:18:06,080 Speaker 1: d O J or Russian mafia, yeah, or an angry customer. 343 00:18:06,160 --> 00:18:09,040 Speaker 1: I mean it's it's hard to know what could happen, Um. 344 00:18:09,600 --> 00:18:12,879 Speaker 1: But there was an emotional moment in the interview where 345 00:18:13,560 --> 00:18:17,359 Speaker 1: um Andrew read out a message that user of f 346 00:18:17,480 --> 00:18:20,920 Speaker 1: t X had sent to him, basically asking like ask Sam, 347 00:18:20,920 --> 00:18:23,360 Speaker 1: like where did my money go? Like? I trusted him 348 00:18:23,480 --> 00:18:26,240 Speaker 1: and he betrayed my trust as he betrayed the trust 349 00:18:26,240 --> 00:18:30,240 Speaker 1: of so many people. And it's a hundred percent true that. 350 00:18:30,560 --> 00:18:33,080 Speaker 1: I think people who loaded money onto that platform and 351 00:18:33,119 --> 00:18:38,680 Speaker 1: believed him are absolutely reeling over the scale the magnitude 352 00:18:38,920 --> 00:18:41,639 Speaker 1: of the losses that they probably incurred, because it doesn't 353 00:18:41,680 --> 00:18:45,000 Speaker 1: look very good um that that you'll see that very 354 00:18:45,080 --> 00:18:47,200 Speaker 1: much money recovered at all in this bankruptcy. It's pretty 355 00:18:47,200 --> 00:18:51,560 Speaker 1: clear where the money went, right. Alameda borrowed all the 356 00:18:51,600 --> 00:18:55,600 Speaker 1: money from f t X, gave f t X worthless collateral, 357 00:18:56,600 --> 00:18:59,880 Speaker 1: then lost all the money, and the collateral is now 358 00:19:00,000 --> 00:19:02,560 Speaker 1: worth nothing. That's right. The problem really comes back to 359 00:19:02,600 --> 00:19:04,359 Speaker 1: being able to There are a lot of problems, but 360 00:19:04,440 --> 00:19:07,399 Speaker 1: one of them is that, uh, the that ability to 361 00:19:07,480 --> 00:19:13,159 Speaker 1: borrow endlessly um, you know, real real dollars and like 362 00:19:13,280 --> 00:19:18,000 Speaker 1: real value against um invented tokens that are just conjured 363 00:19:18,000 --> 00:19:20,240 Speaker 1: out of thin air UM. And then and then the 364 00:19:20,280 --> 00:19:23,480 Speaker 1: privileges that Alamide absolutely had UM that were specific to 365 00:19:23,480 --> 00:19:28,240 Speaker 1: Alamade on f t X UM and and obscured to 366 00:19:28,280 --> 00:19:30,280 Speaker 1: the rest of them. It's amazing that Sam Bankman freed 367 00:19:30,359 --> 00:19:34,320 Speaker 1: this super genius from m I T had such um 368 00:19:34,359 --> 00:19:38,879 Speaker 1: an inability to remember exact numbers, right, He's like, yeah, 369 00:19:38,920 --> 00:19:41,159 Speaker 1: we had like a hundred million of margin. Maybe it 370 00:19:41,200 --> 00:19:43,720 Speaker 1: was two hundred million. Your investments in Sequoia, what was 371 00:19:43,800 --> 00:19:46,320 Speaker 1: like a couple hundred million? I think I can't remember. 372 00:19:46,400 --> 00:19:49,560 Speaker 1: Like he didn't know even ballpark figures closest to the 373 00:19:49,560 --> 00:19:53,959 Speaker 1: nearest million, right, or he didn't want to show that 374 00:19:54,000 --> 00:19:57,600 Speaker 1: he knew. It's it's really hard to get him inside 375 00:19:57,640 --> 00:20:00,280 Speaker 1: his head, but he does a lot of that, just 376 00:20:00,760 --> 00:20:05,600 Speaker 1: pulling estimates out of the air um and it can 377 00:20:05,680 --> 00:20:07,360 Speaker 1: be hard to I still don't know what the reckoning 378 00:20:07,440 --> 00:20:12,160 Speaker 1: is here. I mean, I don't think it doesn't look 379 00:20:12,160 --> 00:20:14,480 Speaker 1: good for I mean it doesn't look I think that 380 00:20:14,640 --> 00:20:18,520 Speaker 1: one thing is like it looks horrible for US regulators 381 00:20:18,560 --> 00:20:20,760 Speaker 1: to an extent that this kind of went on as 382 00:20:20,800 --> 00:20:23,280 Speaker 1: long as it did so. I mean there's a lot 383 00:20:23,320 --> 00:20:26,360 Speaker 1: of talk about, certainly from angry customers. There's a lot 384 00:20:26,400 --> 00:20:29,199 Speaker 1: of talk like we want to see SPF and his 385 00:20:29,280 --> 00:20:31,480 Speaker 1: cronies in jail. I don't know this is at the 386 00:20:31,520 --> 00:20:34,480 Speaker 1: early stages. I think of a long, longer play here 387 00:20:34,520 --> 00:20:37,280 Speaker 1: in any Messa and her reporting colleagues will continue to 388 00:20:37,280 --> 00:20:39,200 Speaker 1: report on that. For us, we appreciate that any massa 389 00:20:39,280 --> 00:20:44,680 Speaker 1: investing reporter. What I've got a Barry rid Hults. He's 390 00:20:44,680 --> 00:20:47,640 Speaker 1: the founder of rid Hult's Wealth Management host of Masters 391 00:20:47,720 --> 00:20:51,240 Speaker 1: in Business, Barry, we love talking to you about markets, 392 00:20:51,280 --> 00:20:53,240 Speaker 1: but i'd love to just I'm not sure if you 393 00:20:53,280 --> 00:20:55,480 Speaker 1: saw Sam Bankman freed yesterday, but if you did, I'd 394 00:20:55,480 --> 00:20:58,000 Speaker 1: love to get your thoughts because that was certainly unique 395 00:20:58,040 --> 00:21:01,960 Speaker 1: theater for those in the markets. He's a professional liar, 396 00:21:02,040 --> 00:21:07,600 Speaker 1: and as a somebody who evaluates um ambiguous information constantly, 397 00:21:07,640 --> 00:21:11,600 Speaker 1: I found it tremendously useful to just avoid listening to 398 00:21:11,680 --> 00:21:15,920 Speaker 1: people with that sort of history. Uh. You know, this 399 00:21:16,000 --> 00:21:19,560 Speaker 1: looked really negative for crypto for a while, but the 400 00:21:19,600 --> 00:21:23,119 Speaker 1: parallels are burning made off. This guy is just a thief. 401 00:21:23,840 --> 00:21:27,760 Speaker 1: I don't care what his model was. Once you dip 402 00:21:28,160 --> 00:21:32,479 Speaker 1: into client cash, I don't care if you're borrowing it 403 00:21:32,520 --> 00:21:35,960 Speaker 1: with the best of intentions, that's it. You're a felon. 404 00:21:36,600 --> 00:21:40,679 Speaker 1: You go to jail. Although right now I think he 405 00:21:40,680 --> 00:21:42,680 Speaker 1: would be lucky if he makes it to jail in 406 00:21:42,760 --> 00:21:45,720 Speaker 1: one piece. I have to imagine there are a lot 407 00:21:45,800 --> 00:21:48,800 Speaker 1: of angry people who would be very happy to spend 408 00:21:48,800 --> 00:21:52,600 Speaker 1: a hundred thousand dollars making his life as miserable as 409 00:21:52,600 --> 00:21:55,920 Speaker 1: he's made their life. Yeah, so you don't buy the 410 00:21:56,000 --> 00:21:59,920 Speaker 1: kind of innocent. We were all down there being outru 411 00:22:00,080 --> 00:22:03,240 Speaker 1: risks and spending tons of money playing board games and 412 00:22:03,280 --> 00:22:05,879 Speaker 1: not paying attention to the books, when all of a 413 00:22:05,920 --> 00:22:09,080 Speaker 1: sudden we realize coops or eight billion dollars in the 414 00:22:09,119 --> 00:22:13,480 Speaker 1: whole rests ips. Loquatur is a phrase they teach in 415 00:22:13,600 --> 00:22:19,200 Speaker 1: law school, which means the thing speaks for itself. Here 416 00:22:19,400 --> 00:22:25,560 Speaker 1: is client deposits. You reached into client deposits. Sorry, you 417 00:22:25,640 --> 00:22:28,840 Speaker 1: go to jail that this this is not you know, 418 00:22:29,560 --> 00:22:32,560 Speaker 1: I think everybody deserves their days and talk because it 419 00:22:32,600 --> 00:22:35,600 Speaker 1: seems like this is black and white. It seems like, yeah, 420 00:22:35,680 --> 00:22:37,439 Speaker 1: it seems like it is black and white, and it 421 00:22:37,480 --> 00:22:39,960 Speaker 1: seems like he's gonna go to jail for the rest 422 00:22:39,960 --> 00:22:41,960 Speaker 1: of his life no matter what. Why Why is he 423 00:22:42,080 --> 00:22:44,520 Speaker 1: talking instead of, you know, trying to put together a defense. 424 00:22:45,840 --> 00:22:49,399 Speaker 1: So when people are on these self destructive spirals, and 425 00:22:49,480 --> 00:22:53,719 Speaker 1: clearly he has been in one for a while, even 426 00:22:53,760 --> 00:22:58,200 Speaker 1: as he has deceived many of the most sophisticated institutional 427 00:22:58,240 --> 00:23:02,600 Speaker 1: investors out there, um and his parents. Apparently he's a 428 00:23:02,680 --> 00:23:07,040 Speaker 1: con man. Listen, The whole thing behind Khan Man is 429 00:23:07,119 --> 00:23:12,359 Speaker 1: that Khan stands for confidence. He is so self assured 430 00:23:12,800 --> 00:23:16,720 Speaker 1: and so brilliant that he wins them over and they 431 00:23:16,800 --> 00:23:21,520 Speaker 1: place misplace their confidence in him. And look, you know, 432 00:23:21,880 --> 00:23:23,879 Speaker 1: I've been on the fiduciary side of the street for 433 00:23:24,040 --> 00:23:27,879 Speaker 1: well over a decade. I've been arguing that all of 434 00:23:27,960 --> 00:23:32,639 Speaker 1: Wall Street should put their client's best interests first. None 435 00:23:32,640 --> 00:23:38,879 Speaker 1: of that applies here. This person allegedly reached into client 436 00:23:38,920 --> 00:23:42,080 Speaker 1: accounts and took that money. I don't know how much 437 00:23:42,119 --> 00:23:46,439 Speaker 1: more debate is necessary, um and again, everybody deserves their 438 00:23:46,480 --> 00:23:51,040 Speaker 1: day in court. But dear lord, I don't know how 439 00:23:51,080 --> 00:23:55,120 Speaker 1: else to describe that other than this isn't a business 440 00:23:55,119 --> 00:23:59,320 Speaker 1: model failure, This isn't a research error. This guy is 441 00:23:59,359 --> 00:24:02,080 Speaker 1: a criminal. It's I feel like we should have some 442 00:24:02,160 --> 00:24:05,639 Speaker 1: kind of disclaimer just for you and me. Right, so, 443 00:24:07,680 --> 00:24:12,920 Speaker 1: allegedly don't have any evidence that he's broken a lot 444 00:24:13,080 --> 00:24:17,200 Speaker 1: other than the fact and billions of clients dollars have disappeared. 445 00:24:17,280 --> 00:24:19,359 Speaker 1: Hold that little factory to say, I just want to 446 00:24:19,440 --> 00:24:21,840 Speaker 1: keep myself out of trouble. Bear, what's the barry? What 447 00:24:21,880 --> 00:24:25,880 Speaker 1: does this mean? If anything? For the cryptospace writ large 448 00:24:26,520 --> 00:24:30,920 Speaker 1: so you know it in a perverse way, If this 449 00:24:31,000 --> 00:24:33,720 Speaker 1: isn't a business model failure, and this turns out to 450 00:24:33,800 --> 00:24:38,000 Speaker 1: be full blown theft. It's kind of like Bernie made 451 00:24:38,040 --> 00:24:40,560 Speaker 1: off in hedge funds. Oh wait, this doesn't mean hedge 452 00:24:40,560 --> 00:24:43,440 Speaker 1: funds are bad. It means that Jerk was a thief 453 00:24:43,800 --> 00:24:46,439 Speaker 1: and one of the greatest thiefs of all time until 454 00:24:47,920 --> 00:24:51,080 Speaker 1: Sam came along. Sam and Bernie will go down in 455 00:24:51,200 --> 00:24:56,080 Speaker 1: history as two of the most accomplished. Um well, they 456 00:24:56,119 --> 00:25:00,320 Speaker 1: both got caught. You know, here's the difference. When Ernie 457 00:25:00,320 --> 00:25:03,440 Speaker 1: made Off admitted to his son's that he was stealing 458 00:25:04,200 --> 00:25:08,639 Speaker 1: client money that day he was in head. That's kind 459 00:25:08,680 --> 00:25:12,280 Speaker 1: of what we can I don't know. Do we not 460 00:25:12,400 --> 00:25:15,240 Speaker 1: have extradition charge? I don't know. I've been asking this, 461 00:25:15,520 --> 00:25:16,960 Speaker 1: but we'll figure it out, all right, Barry, thank you 462 00:25:16,960 --> 00:25:19,680 Speaker 1: so much. We appreciate your comments. They're making a very 463 00:25:19,680 --> 00:25:23,080 Speaker 1: clear Barry Ridholt's host of Masters in Business on Bloomberg Radio. 464 00:25:26,080 --> 00:25:29,520 Speaker 1: Today is World AIDS Day, so we thought it's a 465 00:25:29,560 --> 00:25:31,280 Speaker 1: good time to kind of get the latest on what's 466 00:25:31,320 --> 00:25:33,800 Speaker 1: going on. I mean, the world's obviously just coming out 467 00:25:33,800 --> 00:25:36,200 Speaker 1: of this pandemic and you need to kind of refocus 468 00:25:36,280 --> 00:25:38,520 Speaker 1: on some of the other issues out there, and we 469 00:25:38,560 --> 00:25:39,920 Speaker 1: want to do that right here. We can do with 470 00:25:40,000 --> 00:25:43,920 Speaker 1: Jennifer Lotito, ce OO and president of the firm by 471 00:25:43,920 --> 00:25:46,639 Speaker 1: the name of RED R. E. D. Jennifer, thanks so 472 00:25:46,720 --> 00:25:49,600 Speaker 1: much for joining us here. You know, again, the world's 473 00:25:49,600 --> 00:25:51,080 Speaker 1: just kind of coming out on the other side of 474 00:25:51,119 --> 00:25:55,359 Speaker 1: this global pandemic um and it's probably time to refocus 475 00:25:55,400 --> 00:25:58,360 Speaker 1: on some of the issues that were there before the pandemic, 476 00:25:58,600 --> 00:26:00,760 Speaker 1: like AIDS. I love for you to give us kind 477 00:26:00,760 --> 00:26:03,679 Speaker 1: of a summary of kind of where we are in 478 00:26:03,720 --> 00:26:06,840 Speaker 1: our fight against AIDS. Yeah, thank you so much for 479 00:26:06,880 --> 00:26:10,199 Speaker 1: having me. Well, you're exactly right. We need to uh 480 00:26:10,359 --> 00:26:12,560 Speaker 1: you know, AIDS like COVID may not be in the 481 00:26:12,560 --> 00:26:14,560 Speaker 1: headlines every day, but it needs to be. And the 482 00:26:14,600 --> 00:26:17,080 Speaker 1: reason for that is because over twelve thousand people every 483 00:26:17,080 --> 00:26:20,720 Speaker 1: week are dying from a treatable and preventable disease. So today, 484 00:26:20,760 --> 00:26:22,680 Speaker 1: as we mark World AIDS Day, we need to think 485 00:26:22,680 --> 00:26:25,760 Speaker 1: about the forty million people whose lives have been lost, 486 00:26:26,040 --> 00:26:28,800 Speaker 1: but also the fact that there is treatment available, but 487 00:26:28,880 --> 00:26:31,399 Speaker 1: we need to get that treatment everywhere it's needed, and 488 00:26:31,440 --> 00:26:33,959 Speaker 1: that's what RED is helping to do. So what is 489 00:26:34,720 --> 00:26:37,600 Speaker 1: the problem with getting people this treatment? Is it a 490 00:26:37,640 --> 00:26:41,960 Speaker 1: cost issue? Yeah, you know, like so many other things, 491 00:26:42,000 --> 00:26:44,760 Speaker 1: it's it's a resource issue, it's a cost you know. 492 00:26:44,840 --> 00:26:47,520 Speaker 1: Thankfully we've got organizations like the Global Fund, which is 493 00:26:47,560 --> 00:26:51,639 Speaker 1: who we provide funding to. They are getting treatment on 494 00:26:51,680 --> 00:26:54,160 Speaker 1: the ground where it's needed the most in Sub Saharan Africa. 495 00:26:54,440 --> 00:26:56,639 Speaker 1: But they need more, They need more resources. But in 496 00:26:56,640 --> 00:26:59,520 Speaker 1: addition to that, they need people to care. And the 497 00:26:59,560 --> 00:27:02,199 Speaker 1: way they do that is through red We work with 498 00:27:02,240 --> 00:27:04,720 Speaker 1: the biggest companies in the world. We give people products 499 00:27:04,720 --> 00:27:07,400 Speaker 1: to buy. When you do that, money from those companies 500 00:27:07,440 --> 00:27:10,400 Speaker 1: goes to help buy those pills, that treatment and make 501 00:27:10,440 --> 00:27:12,840 Speaker 1: sure that we are ending this disease for good. And 502 00:27:12,840 --> 00:27:14,919 Speaker 1: they are some of the most it must be the 503 00:27:14,920 --> 00:27:19,200 Speaker 1: most recognizable, uh or one of the most recognizable charities, 504 00:27:19,320 --> 00:27:23,640 Speaker 1: right because you have so many products, but they're not 505 00:27:24,840 --> 00:27:26,840 Speaker 1: I mean they're good products, they're not you know, just 506 00:27:26,960 --> 00:27:29,639 Speaker 1: randomly picked. It looks like you do a lot of 507 00:27:29,680 --> 00:27:32,280 Speaker 1: work trying to find the best things to put your 508 00:27:32,320 --> 00:27:35,399 Speaker 1: name on. How do you do that, well, it's it 509 00:27:35,520 --> 00:27:38,639 Speaker 1: is carefully curated. We want products and brands and leaders 510 00:27:38,680 --> 00:27:41,960 Speaker 1: who believe in this fight. And so we're really excited 511 00:27:42,000 --> 00:27:44,240 Speaker 1: because you know, today, being world they say we have 512 00:27:44,320 --> 00:27:47,320 Speaker 1: the ability to tell people and tell the world about 513 00:27:47,480 --> 00:27:49,800 Speaker 1: how they can give back during this holiday season. To 514 00:27:49,880 --> 00:27:52,920 Speaker 1: your point, these are not just great, beautiful products that 515 00:27:52,960 --> 00:27:56,200 Speaker 1: are well designed, they are products that are actually saving lives. 516 00:27:56,200 --> 00:27:58,840 Speaker 1: So if you look at something like the temperature controlled 517 00:27:58,840 --> 00:28:02,960 Speaker 1: Ember mugs, which are fantastic, a lavoid air purifier, there's 518 00:28:03,000 --> 00:28:05,720 Speaker 1: a new collection from Prime mark. I mean, these are 519 00:28:05,960 --> 00:28:09,280 Speaker 1: incredible products, but they are actually life saving and so 520 00:28:09,359 --> 00:28:11,480 Speaker 1: you need to get to Amazon dot com, slash red 521 00:28:11,600 --> 00:28:15,200 Speaker 1: and check them all out. Jennifer, can you just let 522 00:28:15,280 --> 00:28:18,320 Speaker 1: us know or give us the latest on what the 523 00:28:18,320 --> 00:28:21,320 Speaker 1: treatments are for AIDS? What's what is the protocol? How 524 00:28:22,440 --> 00:28:24,240 Speaker 1: how you know how difficult is it is is it 525 00:28:24,280 --> 00:28:26,320 Speaker 1: to treat? Or how easy is it to treat? And 526 00:28:26,320 --> 00:28:30,320 Speaker 1: where are we today? Absolutely? I will, I will full disclosure. 527 00:28:30,320 --> 00:28:33,200 Speaker 1: I am not a medical doctor. I am an activist 528 00:28:33,320 --> 00:28:35,879 Speaker 1: at a marketer. But yeah, there is one pill a 529 00:28:35,960 --> 00:28:39,200 Speaker 1: day in Sub Saharan Africa costs about twenty cents a day. Um. 530 00:28:39,240 --> 00:28:41,520 Speaker 1: The interesting thing that many people may not know is 531 00:28:41,520 --> 00:28:43,520 Speaker 1: that when you take that pill, now granted you need 532 00:28:43,560 --> 00:28:46,240 Speaker 1: to take that pill every day, it suppresses the viral 533 00:28:46,280 --> 00:28:48,600 Speaker 1: load in your system so that you are not sick, 534 00:28:48,640 --> 00:28:51,480 Speaker 1: you're able to live a full and healthy life. Um. 535 00:28:51,560 --> 00:28:53,160 Speaker 1: But not only that, you don't pass it on to 536 00:28:53,200 --> 00:28:56,600 Speaker 1: your partner. And if your HIV positive mother or a 537 00:28:56,600 --> 00:28:59,520 Speaker 1: pregnant woman, you will very high chances you will not 538 00:28:59,520 --> 00:29:03,480 Speaker 1: pass it onto your unborn child. So that's really that 539 00:29:03,640 --> 00:29:06,360 Speaker 1: is incredible progress, UM. But we need to make sure 540 00:29:06,440 --> 00:29:08,640 Speaker 1: everybody is on that treatment. We also need to make 541 00:29:08,640 --> 00:29:12,080 Speaker 1: sure everybody is getting tested. So for brands like that 542 00:29:12,120 --> 00:29:14,600 Speaker 1: are out there like Roch and Mark, people are getting tested, 543 00:29:14,600 --> 00:29:17,160 Speaker 1: They're getting the treatment that they need. And you know, 544 00:29:17,240 --> 00:29:19,959 Speaker 1: that's the way we're going to end this disease. We 545 00:29:20,040 --> 00:29:22,240 Speaker 1: know how to do it, we just need the resources 546 00:29:22,280 --> 00:29:24,800 Speaker 1: to get there. And so how are you doing with 547 00:29:25,160 --> 00:29:28,160 Speaker 1: UH with the marketing side of things, with the with 548 00:29:28,240 --> 00:29:31,760 Speaker 1: the collection or fundraising side of things, what are your 549 00:29:31,760 --> 00:29:36,000 Speaker 1: goals and where are you? Yeah? Absolutely we are. We're 550 00:29:36,040 --> 00:29:38,800 Speaker 1: doing great. We would love to have more partners join 551 00:29:38,880 --> 00:29:42,080 Speaker 1: us in this fight. We are very focused on talking 552 00:29:42,080 --> 00:29:45,120 Speaker 1: about where the AIDS fight is right now and we 553 00:29:45,160 --> 00:29:48,240 Speaker 1: are seeing it hit marginalized communities. So if you are 554 00:29:48,320 --> 00:29:50,200 Speaker 1: a person of color or an l g B t 555 00:29:50,360 --> 00:29:54,800 Speaker 1: Q or or young girl UH in Sub Saharan Africa especially, 556 00:29:55,080 --> 00:29:57,200 Speaker 1: you are going to be more vulnerable to diseasease to 557 00:29:57,360 --> 00:29:59,720 Speaker 1: the disease. So from a marketing standpoint, we want to 558 00:29:59,760 --> 00:30:01,880 Speaker 1: make sure of people understand that is an injustice that 559 00:30:01,960 --> 00:30:04,760 Speaker 1: we need to write and we can do that through 560 00:30:04,840 --> 00:30:08,400 Speaker 1: our efforts by providing treatment and UH and prevention programs. 561 00:30:08,440 --> 00:30:10,880 Speaker 1: And that's exactly what RENDS doing. We always want to 562 00:30:10,920 --> 00:30:12,840 Speaker 1: do more. We want more products. We have over a 563 00:30:12,920 --> 00:30:15,200 Speaker 1: hundred and thirty products, but we'd love to do more. 564 00:30:15,240 --> 00:30:17,320 Speaker 1: We'd love more brands to join us. And that's exactly 565 00:30:17,320 --> 00:30:20,640 Speaker 1: what we're focused on. And Jennifer, just the pandemic. It's 566 00:30:20,640 --> 00:30:26,680 Speaker 1: affected everybody individually. It's affected communities, it's affected uh, you know, economies. 567 00:30:26,680 --> 00:30:29,600 Speaker 1: How's it affected kind of the the fight against AIDS 568 00:30:29,600 --> 00:30:32,760 Speaker 1: from your perspective, Yeah, so when you go to you 569 00:30:32,800 --> 00:30:35,440 Speaker 1: know this, this shouldn't be too tough to imagine. I think, 570 00:30:35,520 --> 00:30:37,560 Speaker 1: you know, I live here in New York City, when 571 00:30:37,560 --> 00:30:40,440 Speaker 1: when COVID hit here, we saw the impact it had 572 00:30:40,480 --> 00:30:44,120 Speaker 1: on our health system. That's the same in Sub Saharan Africa. 573 00:30:44,200 --> 00:30:46,760 Speaker 1: The good news is many of the programs that had 574 00:30:46,800 --> 00:30:48,680 Speaker 1: been put in place by our partners at the Global 575 00:30:48,720 --> 00:30:52,680 Speaker 1: Fund were able to respond more quickly and nimbly when 576 00:30:52,840 --> 00:30:55,600 Speaker 1: COVID arrived so many of the HIV programs that were 577 00:30:55,600 --> 00:30:59,040 Speaker 1: in place, but but we've now lost ground and we've 578 00:30:59,040 --> 00:31:01,080 Speaker 1: got to keep that prom breast going. You know, you 579 00:31:01,120 --> 00:31:04,000 Speaker 1: can just imagine if you're somebody who's on HIV treatment, 580 00:31:04,040 --> 00:31:05,680 Speaker 1: you need to go into the clinic, you need to 581 00:31:05,720 --> 00:31:07,600 Speaker 1: get your pills. If you're worried about getting COVID, you 582 00:31:07,600 --> 00:31:10,280 Speaker 1: may not do that. We saw the impact on healthcare workers. 583 00:31:10,480 --> 00:31:13,080 Speaker 1: That's no different there. These are all part of this 584 00:31:13,160 --> 00:31:15,280 Speaker 1: health system that we need to make sure we're strengthening 585 00:31:15,360 --> 00:31:17,440 Speaker 1: because there will be another pandemic. We need to be 586 00:31:17,480 --> 00:31:20,600 Speaker 1: prepared for it. All right, good stuff, Jennifer Latito, thank 587 00:31:20,640 --> 00:31:23,240 Speaker 1: you so much for joining us. Jennifer's the CEO and 588 00:31:23,360 --> 00:31:27,680 Speaker 1: president of Red Spelled r e D. Just getting the 589 00:31:27,760 --> 00:31:31,000 Speaker 1: latest on AIDS. It is World Age Day, so getting 590 00:31:31,000 --> 00:31:33,840 Speaker 1: a little kind of an update. They're still still a 591 00:31:33,880 --> 00:31:37,080 Speaker 1: grave issue out there in the global community. But the 592 00:31:37,120 --> 00:31:40,400 Speaker 1: good news is obviously after years and years and decades 593 00:31:40,560 --> 00:31:44,600 Speaker 1: of scientific study, there are very effective treatments out there, 594 00:31:44,600 --> 00:31:46,280 Speaker 1: and that's the good news. So the folks are read 595 00:31:46,680 --> 00:31:50,160 Speaker 1: continuing to do the good work in raising awareness, raising 596 00:31:50,320 --> 00:31:53,320 Speaker 1: funding for the issue. Go by their stuff go by 597 00:31:53,360 --> 00:31:58,480 Speaker 1: their stuff. Let's get right to our next guest, Charles 598 00:31:58,480 --> 00:32:01,960 Speaker 1: Meyer Sees the CEO of equine Equinox is a NASTAC 599 00:32:02,000 --> 00:32:05,040 Speaker 1: traded stock. E q i X is a symbol to 600 00:32:05,080 --> 00:32:08,400 Speaker 1: put into your Bloomberg professional terminals. It's a really real 601 00:32:08,520 --> 00:32:10,760 Speaker 1: estate investment trust. Those guys throw off lots of cash, 602 00:32:10,800 --> 00:32:14,239 Speaker 1: lots of dividends. This company, though, does it with like 603 00:32:14,400 --> 00:32:17,920 Speaker 1: data centers, so it's got a real tech spin to it. Charles, 604 00:32:17,960 --> 00:32:20,480 Speaker 1: thanks so much for joining us here in studio. Talk 605 00:32:20,520 --> 00:32:23,680 Speaker 1: to us about Equinox. What's talk? Just give us a 606 00:32:23,720 --> 00:32:26,400 Speaker 1: thirty seconds on what your company does, what where, where 607 00:32:26,400 --> 00:32:29,080 Speaker 1: your focuses and kind of what are the opportunities for 608 00:32:29,120 --> 00:32:31,719 Speaker 1: you guys going forward. Sure, thanks for having me. Yuh So, 609 00:32:31,800 --> 00:32:34,480 Speaker 1: Equinics is the really the largest provider data centers around 610 00:32:34,480 --> 00:32:37,960 Speaker 1: the world. We operate two data centers seventy one markets 611 00:32:37,960 --> 00:32:40,520 Speaker 1: twenty nine countries around the world. And you know, the 612 00:32:41,280 --> 00:32:44,560 Speaker 1: genesis story of the company and the name even Equinox is, 613 00:32:44,840 --> 00:32:48,400 Speaker 1: you know, is Equitable Internet Exchange. That's sort of where 614 00:32:48,400 --> 00:32:50,960 Speaker 1: the name is derived from. And uh, you know, we've 615 00:32:51,000 --> 00:32:54,440 Speaker 1: built the set of data centers that really provide interconnection 616 00:32:54,520 --> 00:32:57,920 Speaker 1: between the major players in the digital ecosystem and that's 617 00:32:57,960 --> 00:33:00,480 Speaker 1: really are our sort of special role in the in 618 00:33:00,520 --> 00:33:05,440 Speaker 1: the data center space. So we've seen, um, just in 619 00:33:05,440 --> 00:33:07,920 Speaker 1: the last few days a number of reports that some 620 00:33:08,000 --> 00:33:11,480 Speaker 1: big tech companies, including data centers, are seeing less demand. 621 00:33:12,040 --> 00:33:14,120 Speaker 1: Is that what you're seeing as well? We're not. We're 622 00:33:14,160 --> 00:33:16,480 Speaker 1: seeing a strong demand signal from the market right now. 623 00:33:16,520 --> 00:33:19,320 Speaker 1: I think that um, you know, we uh, we we're 624 00:33:19,360 --> 00:33:22,520 Speaker 1: seeing customers very committed to digital transformation as a means 625 00:33:22,560 --> 00:33:25,560 Speaker 1: of driving competitive advantage and in fact, in a in 626 00:33:25,640 --> 00:33:28,240 Speaker 1: a in an environment where there's a lot of belt tightening, 627 00:33:28,240 --> 00:33:30,880 Speaker 1: I think doing you know, doing more with less, so 628 00:33:30,920 --> 00:33:33,520 Speaker 1: to speak. Um, I think digital transformation is a major 629 00:33:33,560 --> 00:33:36,080 Speaker 1: element of that. And they're using cloud and other things 630 00:33:36,080 --> 00:33:38,360 Speaker 1: to think differently about I T and and we play 631 00:33:38,360 --> 00:33:40,360 Speaker 1: an important role and then helping them think through that. 632 00:33:40,360 --> 00:33:42,800 Speaker 1: So we're seeing a very strong demand right now. Sept 633 00:33:42,840 --> 00:33:45,880 Speaker 1: under dollar stock price. You gotta split this thing. What's 634 00:33:46,040 --> 00:33:48,520 Speaker 1: what's your thing? I'm an old stock analyst. How do 635 00:33:48,520 --> 00:33:50,000 Speaker 1: you think about that? We just we don't have a 636 00:33:50,000 --> 00:33:53,560 Speaker 1: lot of retail uh you know, demanded um is the reality, 637 00:33:53,600 --> 00:33:56,120 Speaker 1: and so uh you know, it hasn't been something area 638 00:33:56,240 --> 00:33:58,520 Speaker 1: focus for US, something we've we've occasionally looked at and 639 00:33:58,520 --> 00:34:00,760 Speaker 1: probably will you know, continue to do so, but it 640 00:34:00,840 --> 00:34:03,080 Speaker 1: hasn't been a strong, strong reason just because we don't 641 00:34:03,080 --> 00:34:05,560 Speaker 1: have a lot of retail demand. How global are you 642 00:34:05,760 --> 00:34:09,280 Speaker 1: and and what's the breakdown look like regionally? Extremely global. 643 00:34:09,320 --> 00:34:12,240 Speaker 1: We operate in seventy one markets in twenty nine countries 644 00:34:12,280 --> 00:34:16,000 Speaker 1: around the world. We're more than fifty outside the US. UM. 645 00:34:16,120 --> 00:34:18,600 Speaker 1: So yeah, you know, it's interesting because we've been running 646 00:34:18,600 --> 00:34:21,759 Speaker 1: into a pretty stiff currency headwind in that regard for 647 00:34:21,800 --> 00:34:24,040 Speaker 1: a while. UM. I think we may see that warm 648 00:34:24,080 --> 00:34:26,440 Speaker 1: turn as we see interest rates peak. But it's um, 649 00:34:27,320 --> 00:34:30,000 Speaker 1: we're very, very global business for sure. I think. I 650 00:34:30,120 --> 00:34:31,960 Speaker 1: know I've always said when I come back in the 651 00:34:31,960 --> 00:34:33,279 Speaker 1: next life, I want to come back as a real 652 00:34:33,480 --> 00:34:35,360 Speaker 1: m and a banker. You guys are very active, you 653 00:34:35,400 --> 00:34:38,000 Speaker 1: guys being the industry, you're very active. Here, talk just 654 00:34:38,080 --> 00:34:39,719 Speaker 1: about kind of the next five years, how much of 655 00:34:39,719 --> 00:34:41,520 Speaker 1: your growth is kind of organic and maybe what that 656 00:34:41,600 --> 00:34:44,160 Speaker 1: organic growth rate might look like versus what you might 657 00:34:44,160 --> 00:34:46,560 Speaker 1: get on the equator. Yeah, I mean, we're we're running 658 00:34:46,640 --> 00:34:48,680 Speaker 1: you know, we're about a seven point to five billion 659 00:34:48,719 --> 00:34:51,080 Speaker 1: dollar company. That's what our guide for this year implies 660 00:34:51,560 --> 00:34:54,440 Speaker 1: UM and growing at you know, ten to eleven percent, 661 00:34:54,560 --> 00:34:56,640 Speaker 1: so still a pretty nice growth rate on a pretty 662 00:34:56,680 --> 00:35:00,279 Speaker 1: large installed base UM and so our organic owth is 663 00:35:00,360 --> 00:35:02,400 Speaker 1: very strong. That's our top priority in terms of our 664 00:35:02,440 --> 00:35:05,320 Speaker 1: allocation of capital. But I will say, and as you noted, 665 00:35:05,360 --> 00:35:08,200 Speaker 1: we've been extremely successful in M and A and UH. 666 00:35:08,320 --> 00:35:11,200 Speaker 1: We continue to believe that extending the geographic reach of 667 00:35:11,200 --> 00:35:13,440 Speaker 1: the footprint as a priority, and and we'll look to 668 00:35:13,560 --> 00:35:15,520 Speaker 1: M and A as a as a tool in that toolbox. 669 00:35:15,560 --> 00:35:17,520 Speaker 1: Will be very disciplined in that, as we always are, 670 00:35:17,560 --> 00:35:19,960 Speaker 1: but I expect that we're gonna use some of our 671 00:35:19,960 --> 00:35:23,759 Speaker 1: balance sheet firepower in that regard. I mean, and you know, 672 00:35:23,880 --> 00:35:25,920 Speaker 1: previous months you must have in years you must have 673 00:35:25,920 --> 00:35:27,680 Speaker 1: had a ton of competition there. But I wonder as 674 00:35:27,760 --> 00:35:29,600 Speaker 1: rates go up, if you have a strong balance sheet 675 00:35:29,600 --> 00:35:32,160 Speaker 1: and cash to spend, you must be finding yourselves as 676 00:35:32,160 --> 00:35:34,200 Speaker 1: some of the only bidder. Sometimes well you know, it's 677 00:35:34,200 --> 00:35:36,520 Speaker 1: still I will say, there's the demand for these assets 678 00:35:36,560 --> 00:35:40,080 Speaker 1: still is vigorous with the private players. Private equity players 679 00:35:40,080 --> 00:35:42,319 Speaker 1: are very active in the space. But I do think 680 00:35:42,360 --> 00:35:45,960 Speaker 1: that you know, times like this, the challenging macro is 681 00:35:46,000 --> 00:35:48,400 Speaker 1: when I think market leaders often have a chance to 682 00:35:48,480 --> 00:35:51,360 Speaker 1: extend their lead, and so I think we're gonna position 683 00:35:51,400 --> 00:35:53,799 Speaker 1: ourselves to do that again. We'll we'll be disciplined, but 684 00:35:53,840 --> 00:35:57,080 Speaker 1: I believe will be have that opportunity. What's your company? 685 00:35:57,760 --> 00:35:59,920 Speaker 1: You know, I'm just looking here, and when we have 686 00:36:00,080 --> 00:36:02,160 Speaker 1: CEOs come in here, oftentimes we asked them kind of 687 00:36:02,640 --> 00:36:05,839 Speaker 1: how did the pandemic impact your company? You've got close 688 00:36:05,880 --> 00:36:09,720 Speaker 1: to twelve thousand employees, uh, your companies based in Silicon Valley. 689 00:36:10,320 --> 00:36:13,640 Speaker 1: How's the pandemic change your business from your company our 690 00:36:13,680 --> 00:36:16,920 Speaker 1: own operations. Yeah, that's a lot of employees too, it is, 691 00:36:17,200 --> 00:36:19,759 Speaker 1: but a huge chunk of those our frontline employees. And 692 00:36:19,800 --> 00:36:21,759 Speaker 1: so they were in the data center still, you know, 693 00:36:21,800 --> 00:36:24,360 Speaker 1: and so we still have an element of our business 694 00:36:24,360 --> 00:36:26,920 Speaker 1: where and to their credit, I think they did an 695 00:36:26,920 --> 00:36:30,640 Speaker 1: extraordinary job of rising to the occasion, navigating a lot 696 00:36:30,680 --> 00:36:33,120 Speaker 1: of difficulties in terms of being there with all the 697 00:36:33,520 --> 00:36:36,560 Speaker 1: you know, all the processes and protections that come with 698 00:36:36,640 --> 00:36:38,600 Speaker 1: throughing that in the in the form of the pandemic 699 00:36:38,600 --> 00:36:41,560 Speaker 1: and dealing with customers through that. Um. But then you know, 700 00:36:41,680 --> 00:36:44,440 Speaker 1: our other a lot of other elements of our staff. UM, 701 00:36:44,520 --> 00:36:47,239 Speaker 1: we did go you know, virtual Um, but you know 702 00:36:47,560 --> 00:36:50,719 Speaker 1: it was funny because we're a huge partner to provider 703 00:36:50,760 --> 00:36:54,720 Speaker 1: to people like Zoom. In fact, as Zoom scaled their infrastructure, 704 00:36:55,080 --> 00:36:58,279 Speaker 1: you know, Eric you wanted Zoom said, hey, couldn't have 705 00:36:58,320 --> 00:37:00,520 Speaker 1: done it without Equinix, And we were very appreciative of 706 00:37:00,560 --> 00:37:02,960 Speaker 1: them as a customer. And but you know, we we 707 00:37:02,960 --> 00:37:05,400 Speaker 1: were very successful in that. I will tell you that 708 00:37:05,480 --> 00:37:07,960 Speaker 1: I'm pushing for us to get back to a you know, 709 00:37:08,000 --> 00:37:10,560 Speaker 1: a hybrid model that because I believe in the power 710 00:37:10,560 --> 00:37:13,800 Speaker 1: of human connection and and the importance of that and innovation, 711 00:37:13,920 --> 00:37:15,879 Speaker 1: and so you know, we, like many others, I think, 712 00:37:15,920 --> 00:37:17,759 Speaker 1: will will end up in a in a hybrid state. 713 00:37:17,880 --> 00:37:20,960 Speaker 1: But in terms of your employees right now, you hiring 714 00:37:21,400 --> 00:37:24,640 Speaker 1: rather than layoffs. We are for sure, Um we are, 715 00:37:25,200 --> 00:37:28,080 Speaker 1: you know in in here I qualified that a little 716 00:37:28,120 --> 00:37:31,680 Speaker 1: bit in saying that, Um, you know we're We're not. 717 00:37:32,160 --> 00:37:35,360 Speaker 1: We're also, like others, being very prudent in a in 718 00:37:35,440 --> 00:37:39,200 Speaker 1: an environment that has some challenging macro factors. And so 719 00:37:39,680 --> 00:37:42,280 Speaker 1: I think G and A, for example, we're gonna really 720 00:37:42,320 --> 00:37:45,640 Speaker 1: try to be very flat and find automation and process 721 00:37:45,680 --> 00:37:48,839 Speaker 1: efficiencies to drive improvements and and keep our head count 722 00:37:48,880 --> 00:37:52,200 Speaker 1: as flat as possible there. But given the demand signal 723 00:37:52,200 --> 00:37:54,400 Speaker 1: we're seeing, we're hiring on our go to market side 724 00:37:54,400 --> 00:37:58,000 Speaker 1: and salespeople, quota bearing headcount, etcetera. And um, you know, 725 00:37:58,080 --> 00:38:01,080 Speaker 1: and and also since our platform is expanding, that means 726 00:38:01,280 --> 00:38:04,320 Speaker 1: new people on the ground, technicians in the data centers, etcetera. 727 00:38:04,400 --> 00:38:06,640 Speaker 1: And so those are areas that were how are they? 728 00:38:07,080 --> 00:38:10,080 Speaker 1: How are those technicians? You know? That's really uh, it's uh, 729 00:38:10,800 --> 00:38:13,759 Speaker 1: it's harder than uh than we'd like. Sometimes I'll tell 730 00:38:13,760 --> 00:38:15,640 Speaker 1: you that it's well, you're not the only ones, right, 731 00:38:15,680 --> 00:38:17,680 Speaker 1: I mean, that's a story for those who are hiring 732 00:38:17,760 --> 00:38:20,680 Speaker 1: right now. It's hard to find the qualified people, that's right. 733 00:38:20,760 --> 00:38:22,960 Speaker 1: That's right, And I think they are. You know, it 734 00:38:23,040 --> 00:38:26,000 Speaker 1: really depends on the job category. I just think, you know, 735 00:38:26,040 --> 00:38:27,920 Speaker 1: I know, you're we're seeing some of these tech laughs 736 00:38:28,000 --> 00:38:29,719 Speaker 1: and these kind of things, but I think they are 737 00:38:29,719 --> 00:38:33,400 Speaker 1: oftentimes not in those high demand roles, right. They're not 738 00:38:33,440 --> 00:38:36,640 Speaker 1: software engineers, they're not technicians, they're not and those continue 739 00:38:36,680 --> 00:38:40,480 Speaker 1: to be very competitive. So going forward here, I mean, 740 00:38:40,760 --> 00:38:43,600 Speaker 1: is there any diversification you need? Are you focusing on 741 00:38:43,880 --> 00:38:46,399 Speaker 1: kind of the core data centers, which seems to be 742 00:38:47,000 --> 00:38:50,080 Speaker 1: an inherently strong growth story. Yeah, I think we're in 743 00:38:50,120 --> 00:38:53,000 Speaker 1: a very great spot. I don't think we need diversification 744 00:38:53,040 --> 00:38:56,000 Speaker 1: to really new areas. But I will say, you know, 745 00:38:56,040 --> 00:38:58,719 Speaker 1: we've we've made a big investment what we call our 746 00:38:58,719 --> 00:39:02,360 Speaker 1: digital services business, which is what people are really looking 747 00:39:02,400 --> 00:39:05,720 Speaker 1: for with you know, the value proposition we deliver global reach. 748 00:39:05,840 --> 00:39:09,080 Speaker 1: We talked about that access to these digital ecosystems we 749 00:39:09,200 --> 00:39:12,959 Speaker 1: cultivate and curate ecosystems inside of our facilities for people 750 00:39:13,000 --> 00:39:15,880 Speaker 1: to interconnect to clouds and networks and as a service 751 00:39:15,920 --> 00:39:18,719 Speaker 1: providers and all these They really get that um, this 752 00:39:18,920 --> 00:39:21,759 Speaker 1: interconnection platform that we have and a track record of 753 00:39:21,840 --> 00:39:24,560 Speaker 1: service excellence. But what we are finding is that people 754 00:39:24,560 --> 00:39:27,200 Speaker 1: want to consume that value proposition in different ways. They 755 00:39:27,200 --> 00:39:29,600 Speaker 1: want it more as a service, more on demand, more 756 00:39:29,640 --> 00:39:32,640 Speaker 1: software enabled, and so you know, I think our diverse 757 00:39:32,680 --> 00:39:36,719 Speaker 1: fasification is coming in evolving our our value proposition in 758 00:39:36,760 --> 00:39:40,240 Speaker 1: those ways. So are you competing then with a WS 759 00:39:40,280 --> 00:39:43,279 Speaker 1: and Microsoft Not really. It's I would say that you know, 760 00:39:43,320 --> 00:39:45,399 Speaker 1: as you look at mostly if you go to any 761 00:39:45,480 --> 00:39:48,480 Speaker 1: large enterprise CEO or even CEOs of service providers who 762 00:39:48,520 --> 00:39:51,400 Speaker 1: are saying, how are we building our infrastructure hybrid and 763 00:39:51,480 --> 00:39:55,359 Speaker 1: multi cloud is really the architectural choice. They absolutely are. 764 00:39:55,480 --> 00:39:58,520 Speaker 1: In fact, are those are your biggest customers. Amazon Web 765 00:39:58,560 --> 00:40:02,600 Speaker 1: Services and Goo. The hyper scalers are significant customers of 766 00:40:02,600 --> 00:40:06,279 Speaker 1: ours because they actually use our infrastructure oftentimes to place 767 00:40:06,360 --> 00:40:09,520 Speaker 1: network nodes. They're on ramps to their clouds, often live 768 00:40:09,560 --> 00:40:12,160 Speaker 1: in our facilities. We have about shared and then we 769 00:40:12,200 --> 00:40:14,680 Speaker 1: have a sort of JV business where we build large 770 00:40:14,680 --> 00:40:19,280 Speaker 1: scale data centers for them. We do that through a 771 00:40:19,360 --> 00:40:22,560 Speaker 1: JV that we have with UH with the Sovereign wealthone 772 00:40:22,560 --> 00:40:26,000 Speaker 1: to Singapore g I c um and UH guy yeah 773 00:40:26,040 --> 00:40:29,320 Speaker 1: and so uh and so that's so they are big customers, 774 00:40:29,560 --> 00:40:31,960 Speaker 1: but most customers are ending up or they're saying, look, 775 00:40:32,000 --> 00:40:34,840 Speaker 1: I'm gonna I may put the even the super majority 776 00:40:34,880 --> 00:40:37,480 Speaker 1: of my workloads in the public cloud over time. But 777 00:40:37,560 --> 00:40:39,879 Speaker 1: there's a variety of things that they need, and they 778 00:40:39,880 --> 00:40:43,160 Speaker 1: want private infrastructure that's proximate to the cloud, and they 779 00:40:43,160 --> 00:40:46,359 Speaker 1: want it geographically distributed. And so that's where we really 780 00:40:46,400 --> 00:40:48,799 Speaker 1: come in as being able to you know, support them 781 00:40:48,800 --> 00:40:51,200 Speaker 1: as they move to hybrid and multi cloud and security. 782 00:40:51,440 --> 00:40:53,840 Speaker 1: Just give us kind of how you've used security of 783 00:40:53,920 --> 00:40:55,759 Speaker 1: data in the cloud. More and more is going into 784 00:40:55,800 --> 00:40:57,920 Speaker 1: the cloud, I know that's a concern for people. It is, 785 00:40:58,400 --> 00:41:00,000 Speaker 1: but I think that, you know, I think the techno 786 00:41:00,000 --> 00:41:02,279 Speaker 1: anology is out there to make that, you know, to 787 00:41:02,480 --> 00:41:07,439 Speaker 1: address those challenges. We're going to increasingly zero trust environment. Um. 788 00:41:07,480 --> 00:41:10,080 Speaker 1: I think, um, you know, companies are using it right. Things. 789 00:41:10,120 --> 00:41:13,120 Speaker 1: We have a lot of customers that are delivering security 790 00:41:13,160 --> 00:41:16,960 Speaker 1: applications and services as part of the ecosystem that lives 791 00:41:16,960 --> 00:41:20,000 Speaker 1: inside platform equinics and so and making those kind of 792 00:41:20,040 --> 00:41:23,319 Speaker 1: things available and allowing them to integrate with cloud services. 793 00:41:23,360 --> 00:41:26,640 Speaker 1: That's a key part of our value problem. All right, Charles, 794 00:41:26,719 --> 00:41:29,160 Speaker 1: thank you so much for joining us. Really appreciate it. 795 00:41:29,160 --> 00:41:32,840 Speaker 1: Fascinating stuff. Charles Myers, uh, CEO of Equinox. That's asta 796 00:41:33,120 --> 00:41:35,520 Speaker 1: trade of stock. E q i X is a the 797 00:41:35,560 --> 00:41:37,759 Speaker 1: ticker to put into your Bloomberg terminal, a reap, but 798 00:41:37,840 --> 00:41:40,480 Speaker 1: really focusing on the text based the cloud business, and 799 00:41:40,520 --> 00:41:42,839 Speaker 1: we know that is a big business. The stock has 800 00:41:42,920 --> 00:41:45,040 Speaker 1: ripped up also the last couple of months. Right, it's 801 00:41:46,120 --> 00:41:50,400 Speaker 1: five hundred uh in the middle of October and now 802 00:41:50,440 --> 00:41:53,080 Speaker 1: you're back up at over seven. Really strong earnings, I think, 803 00:41:53,320 --> 00:41:56,560 Speaker 1: strong demand profile and you know, good execution. I think 804 00:41:56,600 --> 00:41:58,799 Speaker 1: you know that people are are reading into that in 805 00:41:58,880 --> 00:42:00,440 Speaker 1: terms of what the what the future right look look 806 00:42:00,480 --> 00:42:06,360 Speaker 1: all right, cho It's great stuff. We appreciate it. Thanks 807 00:42:06,360 --> 00:42:09,839 Speaker 1: for listening to the Bloomberg Markets podcast. You can subscribe 808 00:42:09,880 --> 00:42:13,600 Speaker 1: and listen to interviews of Apple Podcasts or whatever podcast 809 00:42:13,640 --> 00:42:17,160 Speaker 1: platform you prefer. I'm Matt Miller. I'm on Twitter at 810 00:42:17,200 --> 00:42:21,040 Speaker 1: Matt Miller three. On Fall Sweeney, I'm on Twitter at 811 00:42:21,040 --> 00:42:23,880 Speaker 1: pt Sweeney Before the podcast. You can always catch us 812 00:42:23,960 --> 00:42:25,359 Speaker 1: worldwide at Bloomberg Radio