1 00:00:00,840 --> 00:00:04,000 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,080 --> 00:00:05,240 Speaker 1: my co host Matt Miller. 3 00:00:05,640 --> 00:00:09,600 Speaker 2: Every business day we bring you interviews from CEOs, market pros, 4 00:00:09,720 --> 00:00:13,600 Speaker 2: and Bloomberg experts, along with essential market moven News. 5 00:00:14,160 --> 00:00:17,279 Speaker 1: Find the Bloomberg Markets podcast called Apple Podcasts or wherever 6 00:00:17,400 --> 00:00:20,520 Speaker 1: you listen to podcasts, and at Bloomberg dot com slash podcast. 7 00:00:21,120 --> 00:00:25,680 Speaker 1: David Welch, Detroit bureau chief for Bloomberg News, and Jordan Fabian, 8 00:00:25,760 --> 00:00:27,400 Speaker 1: white House reporter for Bloomberg News. 9 00:00:27,600 --> 00:00:29,280 Speaker 3: They join us. We're going to round table this thing 10 00:00:29,320 --> 00:00:29,840 Speaker 3: a little bit. 11 00:00:30,000 --> 00:00:32,560 Speaker 1: So, David, I want to get the latest reporting out 12 00:00:32,600 --> 00:00:33,240 Speaker 1: of Detroit. 13 00:00:33,720 --> 00:00:34,559 Speaker 3: What's the expectation. 14 00:00:34,640 --> 00:00:36,839 Speaker 1: Will there be a strike and if so, is there 15 00:00:36,840 --> 00:00:38,840 Speaker 1: any expectation of how long it may last? 16 00:00:40,640 --> 00:00:44,040 Speaker 4: I think there certainly will be. All of the the 17 00:00:44,159 --> 00:00:46,080 Speaker 4: vibe coming out of the union right now is the 18 00:00:47,200 --> 00:00:50,319 Speaker 4: president is itching destroyed. He says he's not, but he's 19 00:00:50,360 --> 00:00:53,559 Speaker 4: making plans. The writer has still really strong against the 20 00:00:53,600 --> 00:00:56,520 Speaker 4: car companies, against rich executives, all of that, so he's 21 00:00:56,520 --> 00:01:00,480 Speaker 4: getting people riled up. He says they're far apart. Sound 22 00:01:00,560 --> 00:01:01,920 Speaker 4: like they are if you look at the numbers. So 23 00:01:03,360 --> 00:01:06,760 Speaker 4: I think they will and look, it could go on 24 00:01:06,880 --> 00:01:10,640 Speaker 4: for a while. I don't think it'll be something like 25 00:01:10,680 --> 00:01:14,800 Speaker 4: three months, but I could see strike going on for weeks, 26 00:01:14,880 --> 00:01:17,520 Speaker 4: and it could vary by car company too. It doesn't 27 00:01:17,560 --> 00:01:20,720 Speaker 4: necessarily two days at one and three weeks at another, right, 28 00:01:20,880 --> 00:01:22,680 Speaker 4: I mean, if he gets the deal he wants from 29 00:01:22,720 --> 00:01:23,720 Speaker 4: specific companies. 30 00:01:23,840 --> 00:01:25,479 Speaker 3: So, David, how far apart are they? 31 00:01:25,560 --> 00:01:29,000 Speaker 2: Because I've read now that the union has lowered its 32 00:01:29,000 --> 00:01:32,759 Speaker 2: demand for pay increases slightly, and the last I saw 33 00:01:32,840 --> 00:01:35,360 Speaker 2: from automakers was about double what I had seen a 34 00:01:35,400 --> 00:01:38,119 Speaker 2: week ago. So how far apart are they right now? 35 00:01:38,880 --> 00:01:39,119 Speaker 5: Yeah? 36 00:01:39,160 --> 00:01:41,320 Speaker 4: So look, Forward is up to twenty percent and GM 37 00:01:41,400 --> 00:01:44,520 Speaker 4: is at eighteen percent pay raises over four years, which 38 00:01:44,680 --> 00:01:48,320 Speaker 4: is I think better than they've ever gotten, so, you know, 39 00:01:48,800 --> 00:01:51,760 Speaker 4: I think, and it's not the thirty six percent they 40 00:01:51,760 --> 00:01:53,760 Speaker 4: asked for, but I think that was sort of a 41 00:01:53,880 --> 00:01:55,800 Speaker 4: high ball offer from the union to begin with. 42 00:01:56,360 --> 00:01:59,000 Speaker 2: But they asked for that because the chief executives have 43 00:01:59,080 --> 00:02:01,760 Speaker 2: gotten those kinds of pay increases over the past four 44 00:02:01,840 --> 00:02:02,800 Speaker 2: years as well, haven't they. 45 00:02:03,680 --> 00:02:04,160 Speaker 6: That's right? 46 00:02:04,200 --> 00:02:07,960 Speaker 4: And look, you know, CEO's got to kind of be 47 00:02:08,000 --> 00:02:10,600 Speaker 4: careful what they wish for it, right, because you know, 48 00:02:10,880 --> 00:02:12,800 Speaker 4: suddenly they might have a union saying you got forty 49 00:02:12,800 --> 00:02:16,959 Speaker 4: percent and why didn't I? And didn't get great raises 50 00:02:17,000 --> 00:02:20,040 Speaker 4: over the last contract. And I'm sure some labor negotiators 51 00:02:20,040 --> 00:02:22,679 Speaker 4: that the company's got bonuses for negotiating a pretty low 52 00:02:22,720 --> 00:02:25,080 Speaker 4: cost contract last time. And they used to be careful 53 00:02:25,120 --> 00:02:26,919 Speaker 4: what they wish for, because now they've got an extremely 54 00:02:26,960 --> 00:02:30,920 Speaker 4: angry union. But they do, and they and with a 55 00:02:30,960 --> 00:02:33,400 Speaker 4: president who wants to make a statement about labour's role 56 00:02:33,400 --> 00:02:35,880 Speaker 4: in America. This isn't just about this contract with him, 57 00:02:36,240 --> 00:02:39,280 Speaker 4: he wants to bring the labor movement back to prominence 58 00:02:39,680 --> 00:02:40,360 Speaker 4: in America. 59 00:02:40,480 --> 00:02:41,919 Speaker 3: All right, and all. 60 00:02:41,919 --> 00:02:42,959 Speaker 4: Right, so that's where we are. 61 00:02:43,080 --> 00:02:45,040 Speaker 1: Yep, Jordan Fabian, let's bring you in. You covered the 62 00:02:45,040 --> 00:02:48,160 Speaker 1: White House for Bloomberg News in Washington, DC. The President Biden, 63 00:02:48,280 --> 00:02:51,600 Speaker 1: he has said twice that there won't be a strike here. 64 00:02:51,960 --> 00:02:53,560 Speaker 1: What are you hearing out of the White House. 65 00:02:56,280 --> 00:02:59,640 Speaker 7: I think that's the President being his usual optimistic self. 66 00:03:00,000 --> 00:03:03,440 Speaker 7: Other people I've talked to aren't so optimistic. And you know, 67 00:03:03,480 --> 00:03:06,080 Speaker 7: they see what we're all seeing, which is a union 68 00:03:06,200 --> 00:03:07,799 Speaker 7: and management still. 69 00:03:08,240 --> 00:03:09,639 Speaker 5: A part on a contract. 70 00:03:09,720 --> 00:03:13,399 Speaker 7: And you know, they have encouraged the side to stay 71 00:03:13,400 --> 00:03:15,240 Speaker 7: at the table. But you know, some people I've talked 72 00:03:15,240 --> 00:03:17,080 Speaker 7: to have said, look, we don't know how this is 73 00:03:17,120 --> 00:03:20,040 Speaker 7: going to end. It's all we can do is kind 74 00:03:20,080 --> 00:03:23,040 Speaker 7: of encourage them to keep talking. But there's really not 75 00:03:23,120 --> 00:03:26,079 Speaker 7: much we can do to force them to get a contract. 76 00:03:26,120 --> 00:03:29,600 Speaker 7: So they're crossing their fingers and hoping there's not a strike, 77 00:03:29,639 --> 00:03:31,359 Speaker 7: and if there is, that's not a long one. 78 00:03:31,639 --> 00:03:35,880 Speaker 2: You So, Jordan David points out that this president wants 79 00:03:35,920 --> 00:03:38,960 Speaker 2: to bring unions back to prominence. At the same time 80 00:03:39,280 --> 00:03:42,839 Speaker 2: he has backed up truckloads of subsidies and dumped them 81 00:03:42,920 --> 00:03:47,240 Speaker 2: on the automaker's doorsteps to try and encourage them to 82 00:03:48,040 --> 00:03:50,880 Speaker 2: build more electric vehicles for which, by the way, we 83 00:03:50,960 --> 00:03:54,760 Speaker 2: don't even know how much demand there is that is 84 00:03:54,760 --> 00:03:58,880 Speaker 2: going to require far fewer workers. So is he working 85 00:03:58,920 --> 00:03:59,960 Speaker 2: at cross purposes? 86 00:04:01,840 --> 00:04:05,280 Speaker 7: This is the central dilemma for Joe Biden is this 87 00:04:05,320 --> 00:04:08,800 Speaker 7: clean energy transition is one of his biggest domestic priorities. 88 00:04:08,920 --> 00:04:11,680 Speaker 7: But guess what, so it is empowering the US labor movement, 89 00:04:11,760 --> 00:04:15,560 Speaker 7: and in this negotiation he's found himself caught in the 90 00:04:15,560 --> 00:04:17,919 Speaker 7: middle of those two priorities and they're really. 91 00:04:17,760 --> 00:04:18,680 Speaker 5: No easy answers. 92 00:04:19,200 --> 00:04:22,720 Speaker 7: They've done the administration has done something recently, they've released 93 00:04:22,720 --> 00:04:26,279 Speaker 7: this fifteen billion dollar tranch of money from the Energy 94 00:04:26,320 --> 00:04:30,800 Speaker 7: Department to incentivize factory retooling, and they've, you know, they've 95 00:04:30,800 --> 00:04:34,800 Speaker 7: put some strings attached there. They're encouraging car companies to 96 00:04:35,720 --> 00:04:38,839 Speaker 7: use that money on unionized plants and make sure the 97 00:04:38,839 --> 00:04:41,400 Speaker 7: benefits go to union workers, but they're not forced to. 98 00:04:41,680 --> 00:04:45,480 Speaker 7: And this has been the bane for Sean Fain, which 99 00:04:45,520 --> 00:04:49,880 Speaker 7: is he doesn't think the administration imposed enough conditions on 100 00:04:50,120 --> 00:04:52,440 Speaker 7: all this money that's going to the car companies. And 101 00:04:52,520 --> 00:04:55,520 Speaker 7: so in addition to the pay and benefits, this ev 102 00:04:55,839 --> 00:04:59,960 Speaker 7: transition issue has been at the backdrop of this negotiation 103 00:05:00,120 --> 00:05:03,200 Speaker 7: and it's really, you know, causing political problems for Joe 104 00:05:03,240 --> 00:05:05,600 Speaker 7: Biden because he needs all the units support he get 105 00:05:05,600 --> 00:05:07,640 Speaker 7: going too twenty twenty four, and here you have this 106 00:05:07,720 --> 00:05:09,880 Speaker 7: major union on the side saying, not so. 107 00:05:09,839 --> 00:05:14,279 Speaker 1: Fast, Hey, David, do we know how this union will strike? 108 00:05:14,320 --> 00:05:17,200 Speaker 1: Will they strike one automaker all three? Do we know 109 00:05:17,360 --> 00:05:20,280 Speaker 1: kind of their strategy? 110 00:05:20,440 --> 00:05:23,200 Speaker 4: I think they'll they will strike all three. And what 111 00:05:23,240 --> 00:05:25,960 Speaker 4: they're what they said they're going to do is they 112 00:05:26,000 --> 00:05:29,160 Speaker 4: will strike individual plants. They're not going to walk out 113 00:05:29,200 --> 00:05:32,520 Speaker 4: on the entire company. That's one way of minimizing the 114 00:05:32,520 --> 00:05:34,880 Speaker 4: payouts from the strike fund, which pays workers some money 115 00:05:34,920 --> 00:05:37,920 Speaker 4: while they're striking. And if they strike all three at 116 00:05:37,920 --> 00:05:40,279 Speaker 4: every plant, they'd run out of money in about seven weeks. 117 00:05:40,360 --> 00:05:42,800 Speaker 4: They don't want to do that, so they'll they'll strike 118 00:05:42,839 --> 00:05:45,040 Speaker 4: individual plants. And what I think they'll do is they'll 119 00:05:45,080 --> 00:05:48,520 Speaker 4: strike the plants that make the most profitable vehicles, which 120 00:05:48,560 --> 00:05:52,559 Speaker 4: would be the large pickup truck and suv plants, because 121 00:05:52,600 --> 00:05:54,360 Speaker 4: that you know, if you were to take down Ford 122 00:05:54,400 --> 00:05:58,080 Speaker 4: and GM's large suv and pickup plants and it's something 123 00:05:58,120 --> 00:05:59,960 Speaker 4: like seventy or eighty percent of their profits comes from 124 00:06:00,000 --> 00:06:02,760 Speaker 4: those vehicles, you do a lot of damage and put 125 00:06:02,760 --> 00:06:05,080 Speaker 4: a lot of pressure on the companies very quickly while 126 00:06:05,120 --> 00:06:07,440 Speaker 4: paying minimally out to your strike fund. And then if 127 00:06:07,480 --> 00:06:09,000 Speaker 4: they don't get a deal, they can kind of keep, 128 00:06:09,600 --> 00:06:12,000 Speaker 4: you know, adding another plant here and there. They could 129 00:06:12,040 --> 00:06:15,720 Speaker 4: strike parts plants that supply the dealers with replacement parts 130 00:06:16,040 --> 00:06:18,159 Speaker 4: for customers. That could create a lot of chaos. There 131 00:06:18,200 --> 00:06:20,520 Speaker 4: are a lot of ways they could with individual plant strikes. 132 00:06:20,520 --> 00:06:21,640 Speaker 4: They could apply a lot of pressure. 133 00:06:22,080 --> 00:06:25,640 Speaker 3: Hey, David, just person on the street in Detroit, which 134 00:06:25,640 --> 00:06:26,440 Speaker 3: way are they leaning? 135 00:06:28,720 --> 00:06:30,520 Speaker 4: I mean, like that kind of runs the gamut. But 136 00:06:30,680 --> 00:06:34,240 Speaker 4: I think, you know, it's it's a union city, so 137 00:06:34,279 --> 00:06:35,880 Speaker 4: there's going to be a lot of sympathy for them. 138 00:06:36,040 --> 00:06:38,839 Speaker 4: It's also the Detroit city proper. There's a lot of 139 00:06:38,839 --> 00:06:44,440 Speaker 4: poverty there, so you know, strikers trying to get what 140 00:06:44,480 --> 00:06:46,560 Speaker 4: they think is their fair share would probably have a 141 00:06:46,560 --> 00:06:49,520 Speaker 4: lot of sympathy. You move further out in the state 142 00:06:49,600 --> 00:06:51,960 Speaker 4: and you start to see comments on social media like 143 00:06:52,720 --> 00:06:54,920 Speaker 4: thirty to our work. You guys are on crack up bread, 144 00:06:55,000 --> 00:06:59,880 Speaker 4: stuff like that. So Michigans, Michigans are a very biver 145 00:07:00,040 --> 00:07:00,839 Speaker 4: hated place in that. 146 00:07:01,200 --> 00:07:03,800 Speaker 2: I mean, forty seemed like a lot to me at first, 147 00:07:03,800 --> 00:07:06,359 Speaker 2: also until I read that the chief executives were getting that. 148 00:07:06,800 --> 00:07:09,440 Speaker 2: You know, and this is an industry that was bailed 149 00:07:09,480 --> 00:07:11,840 Speaker 2: out by the US government. There you go during the 150 00:07:11,880 --> 00:07:17,160 Speaker 2: Great Financial Crisis and a union that gave a lot 151 00:07:17,200 --> 00:07:21,400 Speaker 2: of help frankly that that accepted a worse contract in 152 00:07:21,480 --> 00:07:25,040 Speaker 2: order to help the automakers stay alive. Now, the automakers 153 00:07:25,040 --> 00:07:27,200 Speaker 2: have made a ton of money over the past ten years, 154 00:07:27,200 --> 00:07:31,320 Speaker 2: and Jordan, does you know from that perspective, doesn't the 155 00:07:31,320 --> 00:07:35,000 Speaker 2: president from Scranton, Pennsylvania, who cares about the scrappy workers. 156 00:07:35,240 --> 00:07:37,400 Speaker 2: Doesn't he go march with the with the union when 157 00:07:37,400 --> 00:07:37,880 Speaker 2: they strike. 158 00:07:39,920 --> 00:07:42,119 Speaker 7: That would be quite the image, wouldn't it, Joe Biden 159 00:07:42,120 --> 00:07:43,000 Speaker 7: holding a picket sign. 160 00:07:43,080 --> 00:07:45,440 Speaker 2: But that's what he wants us to think of him, right. 161 00:07:46,160 --> 00:07:47,680 Speaker 5: No, he absolutely does. 162 00:07:47,760 --> 00:07:50,640 Speaker 7: He's repeatedly called himself the most pro union president in 163 00:07:50,720 --> 00:07:53,120 Speaker 7: US history. He did put out a statement about a 164 00:07:53,120 --> 00:07:57,160 Speaker 7: month ago that did voice support generally for some of 165 00:07:57,160 --> 00:08:00,560 Speaker 7: the union demands, like I better pay and betterfit's making 166 00:08:00,560 --> 00:08:03,320 Speaker 7: sure if there's a factory tooling or closing down, that 167 00:08:03,560 --> 00:08:07,040 Speaker 7: the members are taken care of and that they keep jobs. 168 00:08:07,000 --> 00:08:08,080 Speaker 6: In union communities. 169 00:08:08,320 --> 00:08:12,360 Speaker 7: But look, he also needs these corporations like he needs 170 00:08:12,400 --> 00:08:15,400 Speaker 7: them for the clean energy transition, not to mention, he 171 00:08:15,520 --> 00:08:19,280 Speaker 7: needs to Corporate America on side to give him campaign 172 00:08:19,280 --> 00:08:22,680 Speaker 7: donations for his re election campaign. So that's why you're 173 00:08:22,720 --> 00:08:24,440 Speaker 7: not going to see him wearing that red shirt that 174 00:08:24,480 --> 00:08:26,520 Speaker 7: Sean Fame was wearing in that image. 175 00:08:26,680 --> 00:08:28,800 Speaker 1: All right, fellows, thank you so much for joining both 176 00:08:28,800 --> 00:08:31,640 Speaker 1: of you. Jordan Fabian he covers the White House for 177 00:08:31,680 --> 00:08:35,439 Speaker 1: Bloomberg News, and David Welch, Detroit bureau chief, out there 178 00:08:35,480 --> 00:08:38,120 Speaker 1: giving us kind of the feel for the two sides 179 00:08:38,160 --> 00:08:42,520 Speaker 1: here again. Midnight tonight Eastern time is the deadline. 180 00:08:43,920 --> 00:08:47,760 Speaker 8: You're listening to the Team Ken's Arline program Bloomberg Markets 181 00:08:47,800 --> 00:08:50,880 Speaker 8: weekdays at ten am Eastern on Bloomberg dot Com, the 182 00:08:50,960 --> 00:08:54,120 Speaker 8: iHeartRadio app, and the Bloomberg Business app, or listen on 183 00:08:54,160 --> 00:08:56,079 Speaker 8: demand wherever you get your podcast. 184 00:08:58,120 --> 00:09:02,400 Speaker 1: We had the European Central Bank hike interest rates for 185 00:09:02,480 --> 00:09:05,560 Speaker 1: the tenth time to quash inflation at the posit rate 186 00:09:05,640 --> 00:09:09,080 Speaker 1: now four percent, up from three point seven three point 187 00:09:09,160 --> 00:09:10,040 Speaker 1: seventy five percent. 188 00:09:10,080 --> 00:09:11,600 Speaker 3: Where do we go from here? They've done? 189 00:09:11,920 --> 00:09:14,680 Speaker 1: Let's check in with doctor Richard Portis, professor at the 190 00:09:14,760 --> 00:09:18,800 Speaker 1: London Business School. Professor, thanks so much for joining us here. A. 191 00:09:19,000 --> 00:09:21,960 Speaker 3: What do you make of the ECB move? ECB's move 192 00:09:22,040 --> 00:09:24,400 Speaker 3: today and then B are they done? 193 00:09:25,960 --> 00:09:28,680 Speaker 9: I'm disappointed. I don't think they should have hiked today. 194 00:09:29,559 --> 00:09:34,160 Speaker 9: The pressures on the European economy are very great now 195 00:09:35,240 --> 00:09:39,680 Speaker 9: and growth forecasts are just falling and falling. The latest 196 00:09:39,679 --> 00:09:44,440 Speaker 9: European Commission forecast, independently of the ECB, has cut back 197 00:09:44,559 --> 00:09:49,760 Speaker 9: their forecasts considerably so that I think they're pushing us 198 00:09:49,800 --> 00:09:54,040 Speaker 9: into a recession, pushing the Eurozone into a recession, and 199 00:09:54,480 --> 00:09:58,160 Speaker 9: that seems to be unwise. What they should have done 200 00:09:58,240 --> 00:10:02,840 Speaker 9: is wait. In my view, the data are mixed. Otherwise, 201 00:10:02,920 --> 00:10:06,520 Speaker 9: the inflation data are mixed, and it would have been 202 00:10:06,520 --> 00:10:07,160 Speaker 9: better to hold on. 203 00:10:08,720 --> 00:10:12,000 Speaker 2: They only have one mandate, though the European Central Bank, 204 00:10:12,080 --> 00:10:16,520 Speaker 2: unlike the FED, doesn't worry or isn't supposed to be 205 00:10:16,640 --> 00:10:22,439 Speaker 2: focused on the labor market and I guess economic growth altogether. 206 00:10:22,480 --> 00:10:26,600 Speaker 2: Their only job is to keep inflation at a steady level. 207 00:10:27,760 --> 00:10:31,760 Speaker 9: Excuse me, they're talking about their big into climate and 208 00:10:31,800 --> 00:10:37,560 Speaker 9: all that. They're criticizing the Italian government for their windfall 209 00:10:37,880 --> 00:10:43,720 Speaker 9: profit tanks on banks. Their single mandate has a very 210 00:10:43,760 --> 00:10:48,000 Speaker 9: broad scope and actually, if you look at it, they 211 00:10:48,120 --> 00:10:52,800 Speaker 9: are required to take account of their actions on the 212 00:10:52,920 --> 00:10:56,880 Speaker 9: overall level of economic activity in the Eurozone. 213 00:10:57,600 --> 00:11:00,920 Speaker 2: All right, So you're worried that they essentially push the 214 00:11:00,920 --> 00:11:05,480 Speaker 2: Eurozone into a recession. We're already seeing, you know, we're 215 00:11:05,480 --> 00:11:07,599 Speaker 2: already seeing that in some of the biggest economies in 216 00:11:07,640 --> 00:11:11,480 Speaker 2: Germany for example. But they have said this is their 217 00:11:11,559 --> 00:11:14,480 Speaker 2: final rate hike. Does that, well, they haven't said it. Actually, 218 00:11:14,559 --> 00:11:18,240 Speaker 2: let me let me. In fact, in fact, Christine leguards 219 00:11:18,280 --> 00:11:21,200 Speaker 2: that she can't say that, which she can't obviously, but 220 00:11:21,280 --> 00:11:23,920 Speaker 2: we kind of you can read between the lines and 221 00:11:23,960 --> 00:11:26,800 Speaker 2: see that this is their final rate hike. So does 222 00:11:26,840 --> 00:11:31,440 Speaker 2: that kind of blunt the does that kind of reduce 223 00:11:31,520 --> 00:11:32,599 Speaker 2: the damage effectively? 224 00:11:33,800 --> 00:11:37,120 Speaker 9: Well, if it's if it ready is final, yes, that's 225 00:11:37,600 --> 00:11:41,760 Speaker 9: that reduces the prospects of damage. But still I think 226 00:11:41,760 --> 00:11:45,640 Speaker 9: they've gone too far and we'll just we'll see what happens. 227 00:11:46,040 --> 00:11:47,719 Speaker 6: The inflation data are not. 228 00:11:48,200 --> 00:11:53,440 Speaker 9: Particularly good, that's for sure, but you know it's turning around. 229 00:11:53,480 --> 00:11:56,679 Speaker 9: It has been turning around for a while, and I 230 00:11:56,720 --> 00:12:02,000 Speaker 9: think the wisest churus is to wait. But there are people, 231 00:12:02,920 --> 00:12:09,800 Speaker 9: several people with strong views in the Council Governing Council 232 00:12:09,880 --> 00:12:13,880 Speaker 9: of the ECB who think, no, we must stamp on 233 00:12:13,920 --> 00:12:17,160 Speaker 9: inflation dramatically, and that's what they're doing. 234 00:12:17,679 --> 00:12:18,160 Speaker 3: Professor. 235 00:12:18,200 --> 00:12:21,960 Speaker 1: Here in the US, the talk has been about a 236 00:12:22,000 --> 00:12:25,160 Speaker 1: soft landing. That is not the case in Europe. Can 237 00:12:25,240 --> 00:12:27,600 Speaker 1: you give us your view of kind of where the 238 00:12:27,679 --> 00:12:30,280 Speaker 1: European economy is, how we should think about it. 239 00:12:30,440 --> 00:12:31,480 Speaker 3: Maybe on this side of the pond. 240 00:12:32,280 --> 00:12:35,960 Speaker 9: It's certainly not a soft landing here in Europe, and 241 00:12:36,480 --> 00:12:39,640 Speaker 9: I include the UK and that of course as well. 242 00:12:40,520 --> 00:12:45,920 Speaker 9: But I think that's where we've got to the labor 243 00:12:45,960 --> 00:12:49,680 Speaker 9: market is holding up fairly well as in the US 244 00:12:50,040 --> 00:12:56,040 Speaker 9: for that matter, but economic activity is slowing down very considerably. 245 00:12:56,600 --> 00:13:00,960 Speaker 9: And how long you can how they can take that? Uh, 246 00:13:01,160 --> 00:13:06,320 Speaker 9: the politicians are coming European elections are coming up, not 247 00:13:06,440 --> 00:13:10,240 Speaker 9: in just in individual countries, but also the European Parliament 248 00:13:10,240 --> 00:13:12,960 Speaker 9: elections are coming up, and there's gonna be a lot 249 00:13:13,000 --> 00:13:19,320 Speaker 9: of criticism of the ECB if indeed we find the 250 00:13:19,360 --> 00:13:21,240 Speaker 9: Arizona going into a full scale recession. 251 00:13:22,679 --> 00:13:23,400 Speaker 5: I wonder. 252 00:13:25,280 --> 00:13:28,880 Speaker 2: You know how hesitant you are to include the UK 253 00:13:29,000 --> 00:13:32,520 Speaker 2: when you talk about Europe, because aren't there very big differences? 254 00:13:33,160 --> 00:13:35,839 Speaker 2: And to some extent, the UK has you know, kind 255 00:13:35,840 --> 00:13:37,600 Speaker 2: of repeatedly shot itself in the foot. 256 00:13:39,760 --> 00:13:43,400 Speaker 9: Well, I mean depends which which gun you're talking about. 257 00:13:45,679 --> 00:13:47,319 Speaker 6: Was that the left foot or the right foot or 258 00:13:47,360 --> 00:13:48,240 Speaker 6: both the same time? 259 00:13:49,240 --> 00:13:54,560 Speaker 9: Yes, I'm afraid we have done, and right now there 260 00:13:54,559 --> 00:14:00,600 Speaker 9: seems no prospect of that reversing. But but here too, 261 00:14:01,600 --> 00:14:04,280 Speaker 9: I believe we should not be raising rates any further. 262 00:14:05,120 --> 00:14:10,559 Speaker 9: The data are turning around. They're turning around for inflation. 263 00:14:10,840 --> 00:14:13,640 Speaker 9: They're turning around slower than one would like, for sure, 264 00:14:14,200 --> 00:14:20,960 Speaker 9: But the cost of the restrictive policies is high. 265 00:14:21,360 --> 00:14:24,040 Speaker 6: And that I think is unwise. 266 00:14:25,160 --> 00:14:30,560 Speaker 9: The the otherwise, you know, the banking sector is in 267 00:14:30,560 --> 00:14:34,000 Speaker 9: pretty good shape, both in the Eurozone and in the UK. 268 00:14:35,120 --> 00:14:38,200 Speaker 9: How long that will last we don't know. But the 269 00:14:38,320 --> 00:14:41,320 Speaker 9: rise and interest rates as of course widened that interest 270 00:14:41,360 --> 00:14:45,320 Speaker 9: margins for a while. They will they will come down 271 00:14:45,400 --> 00:14:49,320 Speaker 9: as as banks have to pass on some of the 272 00:14:49,360 --> 00:14:53,480 Speaker 9: interest rate rises to the depositors. But the financial sector 273 00:14:53,520 --> 00:14:57,640 Speaker 9: is in pretty good shape in general, and it's just 274 00:14:57,840 --> 00:15:03,080 Speaker 9: the main suffering is in manufacturing and to some extented services, 275 00:15:03,840 --> 00:15:07,280 Speaker 9: and that's that's serious. 276 00:15:07,520 --> 00:15:07,680 Speaker 5: Yep. 277 00:15:07,840 --> 00:15:11,120 Speaker 1: And Professor, when you talk about manufacturing, European manufacturing, I 278 00:15:11,120 --> 00:15:14,120 Speaker 1: think most US investors think Germany. Can you tell us 279 00:15:14,120 --> 00:15:17,560 Speaker 1: about how we should be thinking about the German economy here? 280 00:15:17,560 --> 00:15:19,880 Speaker 3: And maybe the outlook it's not. 281 00:15:19,880 --> 00:15:20,600 Speaker 6: A pretty picture. 282 00:15:21,400 --> 00:15:25,880 Speaker 9: The problem is partly a slow down in external demand 283 00:15:25,880 --> 00:15:31,240 Speaker 9: from China in particular, and that is very substantial and 284 00:15:31,360 --> 00:15:34,600 Speaker 9: very severe and has a big impact across a wide 285 00:15:34,680 --> 00:15:37,200 Speaker 9: range of German engineering firms. 286 00:15:38,360 --> 00:15:40,160 Speaker 6: So that's a big deal. 287 00:15:41,280 --> 00:15:47,960 Speaker 9: The unions have push wages up and German manufacturing is 288 00:15:49,280 --> 00:15:52,280 Speaker 9: there's not a sector I can think of right now 289 00:15:53,080 --> 00:15:59,080 Speaker 9: that is balancing this trend downwards and If you look 290 00:15:59,080 --> 00:16:06,440 Speaker 9: at the data, they're pretty they're pretty depressing, so uh so, and. 291 00:16:06,400 --> 00:16:08,200 Speaker 6: It's it's not it's not easy to see how that's 292 00:16:08,240 --> 00:16:09,080 Speaker 6: going to turn around. 293 00:16:09,840 --> 00:16:18,880 Speaker 9: Actually, the the finance minister is a very uh conservative 294 00:16:19,000 --> 00:16:23,960 Speaker 9: shall we say, uh uh minister, and he certainly has 295 00:16:24,000 --> 00:16:27,040 Speaker 9: no intention of any fiscal expansion. Indeed, just the other 296 00:16:27,080 --> 00:16:30,960 Speaker 9: way around, the prospect for next year for Germany is 297 00:16:30,960 --> 00:16:35,280 Speaker 9: fiscal contraction. Uh in the face of this uh, in 298 00:16:35,320 --> 00:16:36,960 Speaker 9: the face of this gathering recession. 299 00:16:37,360 --> 00:16:39,200 Speaker 6: That seems to me very foolish. 300 00:16:40,880 --> 00:16:44,000 Speaker 2: What do you think the solution? The solution is to 301 00:16:44,320 --> 00:16:47,960 Speaker 2: the problems that the European Union faces in terms of 302 00:16:48,120 --> 00:16:52,120 Speaker 2: monetary policy. You have got this one uh you know, 303 00:16:52,320 --> 00:16:56,960 Speaker 2: organization setting monetary policy for so many different and diverse economies. 304 00:16:57,200 --> 00:17:00,680 Speaker 2: Does that you think work? Has it worked out so far? 305 00:17:00,760 --> 00:17:01,880 Speaker 2: Does it need to change? 306 00:17:03,120 --> 00:17:05,359 Speaker 9: It's always Look if you look at the United States, 307 00:17:05,359 --> 00:17:09,760 Speaker 9: you have a single monetary authority setting policies for states 308 00:17:09,760 --> 00:17:15,800 Speaker 9: as diverse as Mississippi and California, not to mention Illinois, 309 00:17:15,840 --> 00:17:20,640 Speaker 9: where I grew up a long time ago. So it's 310 00:17:21,160 --> 00:17:24,119 Speaker 9: this one size fits all problem is a problem you 311 00:17:24,200 --> 00:17:29,560 Speaker 9: have in any large, single economy. And to the extent 312 00:17:29,600 --> 00:17:34,960 Speaker 9: that the European Eurozone is a single economy, it is. 313 00:17:34,960 --> 00:17:37,439 Speaker 6: Diverse, and you're going to have. 314 00:17:37,920 --> 00:17:42,280 Speaker 9: Areas where even in the UK we've had this conflict 315 00:17:42,560 --> 00:17:46,920 Speaker 9: in part with monetary policy having different impacts on London 316 00:17:47,280 --> 00:17:50,240 Speaker 9: and say the Northeast, and there's nothing you can do 317 00:17:50,280 --> 00:17:53,080 Speaker 9: about that. You have to have a single monetary policy. 318 00:17:53,119 --> 00:17:56,800 Speaker 9: You can't have different interest rates for different zones. So 319 00:17:57,760 --> 00:18:00,320 Speaker 9: the one size fits all problem is there. It's no 320 00:18:00,440 --> 00:18:04,399 Speaker 9: more acute in my view, in the Eurozone than it 321 00:18:04,560 --> 00:18:11,240 Speaker 9: is in any large, geographically diverse economy. But it's true 322 00:18:11,320 --> 00:18:15,359 Speaker 9: that you have very different, for example, in the Eurozone, 323 00:18:15,440 --> 00:18:18,520 Speaker 9: very different rates of inflation. In the Baltic countries it's 324 00:18:18,560 --> 00:18:20,080 Speaker 9: been much higher. 325 00:18:21,760 --> 00:18:23,679 Speaker 6: Than the rate in. 326 00:18:25,280 --> 00:18:30,160 Speaker 9: France, say, or Spain and Spain where Spain has been 327 00:18:30,400 --> 00:18:31,720 Speaker 9: very low. 328 00:18:32,160 --> 00:18:36,480 Speaker 6: So you know, that's something they can't they can't do 329 00:18:36,600 --> 00:18:37,080 Speaker 6: much about it. 330 00:18:37,200 --> 00:18:40,600 Speaker 9: They can't do anything about But it's not it's not 331 00:18:40,720 --> 00:18:42,240 Speaker 9: special to the Eurozone. 332 00:18:42,320 --> 00:18:44,840 Speaker 1: Okay, doctor Richard Porters, thank you so much for your time. 333 00:18:44,880 --> 00:18:49,399 Speaker 1: You really appreciate getting your thoughts and analysis, Doctor Richard Porters. 334 00:18:49,400 --> 00:18:52,080 Speaker 3: He's a professor at the London Business School. 335 00:18:52,359 --> 00:18:55,440 Speaker 8: You're listening to the tape Can's are live program Bloomberg 336 00:18:55,520 --> 00:18:59,040 Speaker 8: Markets weekdays at ten am Eastern on Bloomberg Radio. To 337 00:18:59,160 --> 00:19:01,120 Speaker 8: tune it Upoomberg dot Com and. 338 00:19:01,080 --> 00:19:02,400 Speaker 5: The Bloomberg Business App. 339 00:19:02,440 --> 00:19:05,239 Speaker 8: You can also listen live on Amazon Alexa from our 340 00:19:05,280 --> 00:19:10,359 Speaker 8: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 341 00:19:11,040 --> 00:19:11,359 Speaker 6: All right. 342 00:19:11,400 --> 00:19:14,200 Speaker 1: When I first learned about this whole reek thing years 343 00:19:14,240 --> 00:19:18,720 Speaker 1: and years ago, fun flows from operation. That's the profitability 344 00:19:18,720 --> 00:19:20,840 Speaker 1: metric that these people focus on FFO. 345 00:19:21,000 --> 00:19:23,000 Speaker 2: I thought this, you're talking about a real estate investment. 346 00:19:23,040 --> 00:19:23,320 Speaker 3: Trust. 347 00:19:23,359 --> 00:19:25,000 Speaker 1: I know, it's kind of the thing. I thought it 348 00:19:25,040 --> 00:19:27,320 Speaker 1: at the time was a scam, but now I understand 349 00:19:27,320 --> 00:19:27,800 Speaker 1: how it works. 350 00:19:27,880 --> 00:19:28,960 Speaker 2: That's free cash flow. 351 00:19:29,200 --> 00:19:31,879 Speaker 1: No, it's like their ebitda oh, I think, I don't know. 352 00:19:32,160 --> 00:19:35,080 Speaker 1: Our next guest can help us out, Christine Mostandria. 353 00:19:35,200 --> 00:19:37,440 Speaker 3: She is the COO of white. 354 00:19:37,280 --> 00:19:40,000 Speaker 1: Stone Rate that trades on the New York Stock Exchange 355 00:19:40,040 --> 00:19:44,600 Speaker 1: ws R. Christine Whitestone read tell us about your company. 356 00:19:44,640 --> 00:19:46,280 Speaker 3: What kind of real estate do you guys own or 357 00:19:46,359 --> 00:19:47,199 Speaker 3: do you guys focus on? 358 00:19:47,520 --> 00:19:50,720 Speaker 10: So primarily we focus on neighborhood retail. So this would 359 00:19:50,720 --> 00:19:57,000 Speaker 10: be your high visit great corners with traffic and pretty 360 00:19:57,080 --> 00:19:59,320 Speaker 10: much based on convenience versus soft goods. 361 00:20:00,080 --> 00:20:04,000 Speaker 1: So I think about the pandemic in my home, in 362 00:20:04,040 --> 00:20:06,760 Speaker 1: my town in Jersey, lots of and we have a 363 00:20:06,920 --> 00:20:11,400 Speaker 1: very vibrant downtown in New Jersey. Lots of businesses went 364 00:20:11,440 --> 00:20:13,480 Speaker 1: out of UH one went out of business, so a 365 00:20:13,480 --> 00:20:15,879 Speaker 1: lot of you know, for sale for rent signs. What 366 00:20:15,920 --> 00:20:19,919 Speaker 1: is the short Hills Summit Summit and better town than 367 00:20:19,920 --> 00:20:23,960 Speaker 1: Short Hills, Better train Station. So which is why I 368 00:20:24,000 --> 00:20:26,359 Speaker 1: chose somewhat over Short Hills Better train Station. Some people 369 00:20:26,440 --> 00:20:27,440 Speaker 1: choose the name. 370 00:20:27,560 --> 00:20:29,239 Speaker 2: I just wanted to make it clear because I can 371 00:20:29,280 --> 00:20:32,919 Speaker 2: imagine properties like that in Short Hills or Summit. I 372 00:20:32,920 --> 00:20:35,560 Speaker 2: can imagine property in Scarsdale and Bronxville. 373 00:20:35,600 --> 00:20:36,520 Speaker 4: You know this is where? 374 00:20:36,800 --> 00:20:38,920 Speaker 3: So what happened to your properties then? And kind of 375 00:20:38,920 --> 00:20:39,560 Speaker 3: where are you now? 376 00:20:40,359 --> 00:20:42,959 Speaker 10: So we have the fortune of being into very strong markets. 377 00:20:42,960 --> 00:20:44,520 Speaker 10: So we're in Texas and Arizona. 378 00:20:44,600 --> 00:20:45,119 Speaker 3: Oh nice. 379 00:20:45,200 --> 00:20:48,399 Speaker 10: So our rebound from COVID which was much much quicker, 380 00:20:48,440 --> 00:20:50,679 Speaker 10: In fact it probably I think we're affected maybe for 381 00:20:50,760 --> 00:20:54,159 Speaker 10: six months really, So yeah, we had very few tenants 382 00:20:54,200 --> 00:20:54,680 Speaker 10: to fall. 383 00:20:54,720 --> 00:20:57,120 Speaker 3: Because you guys didn't shut down do the mess. Things 384 00:20:57,280 --> 00:20:59,919 Speaker 3: just partied right, well, I mean on the Ozar. 385 00:21:00,720 --> 00:21:02,320 Speaker 10: Yeah, there was a little bit of that going on, 386 00:21:02,400 --> 00:21:05,440 Speaker 10: I'd have to say, and our restaurants for a while, 387 00:21:05,440 --> 00:21:07,959 Speaker 10: there was a little bit of spacing, but you know, 388 00:21:08,000 --> 00:21:11,480 Speaker 10: they rebounded really quickly and then quickly after that same 389 00:21:11,520 --> 00:21:13,320 Speaker 10: thing with Fitness and all of other operators. 390 00:21:13,359 --> 00:21:14,040 Speaker 3: So what is this. 391 00:21:14,119 --> 00:21:17,240 Speaker 2: You're not just the CEO of Whitestone, reed, you're also 392 00:21:17,320 --> 00:21:20,240 Speaker 2: a professor of commercial real estate and strategic management at 393 00:21:20,320 --> 00:21:23,919 Speaker 2: Rice Business School. What does this fun flow from operations? 394 00:21:24,800 --> 00:21:26,560 Speaker 2: What's the significance of that for a rate? 395 00:21:26,960 --> 00:21:28,920 Speaker 10: So it's a little bit different than even up right, 396 00:21:28,960 --> 00:21:30,919 Speaker 10: I mean as far as profitability. So what you have 397 00:21:30,960 --> 00:21:33,080 Speaker 10: to take into context is where an asset have you 398 00:21:33,520 --> 00:21:35,960 Speaker 10: business and so that means you have to reinvest capital 399 00:21:36,000 --> 00:21:38,400 Speaker 10: into the business, and so that takes that into account. 400 00:21:38,640 --> 00:21:40,800 Speaker 10: So it's a little bit different as far as getting 401 00:21:40,840 --> 00:21:41,480 Speaker 10: to a bottom line. 402 00:21:42,880 --> 00:21:44,840 Speaker 2: I was thinking maybe it's somewhere in the middle. 403 00:21:45,040 --> 00:21:47,000 Speaker 3: Maybe somewhere in the middle, but anyway, they buy off 404 00:21:47,000 --> 00:21:47,280 Speaker 3: on it. 405 00:21:47,359 --> 00:21:51,600 Speaker 1: All right, So at Whitestone Rerate, your Texas, your Arizona, 406 00:21:52,520 --> 00:21:54,240 Speaker 1: what's the growth story for your company? 407 00:21:54,280 --> 00:21:54,560 Speaker 6: Is it? 408 00:21:54,600 --> 00:21:59,200 Speaker 1: Is it acquisition? Is it just increasing the the you know, 409 00:21:59,240 --> 00:22:01,520 Speaker 1: the numbers, the vacancies and all that kind of stuff. 410 00:22:01,520 --> 00:22:02,720 Speaker 3: I mean not to make it the occupancy. 411 00:22:03,240 --> 00:22:05,879 Speaker 10: So I think there's a couple of different components of 412 00:22:05,880 --> 00:22:08,880 Speaker 10: our business. So first of all, occupancy, and the big 413 00:22:08,920 --> 00:22:10,840 Speaker 10: part about occupancy is is you don't just want to 414 00:22:10,840 --> 00:22:13,200 Speaker 10: fill the space. You really want to serve successfully serve 415 00:22:13,200 --> 00:22:14,919 Speaker 10: the neighborhood. So making sure that you are the right 416 00:22:15,000 --> 00:22:17,880 Speaker 10: merchandise mix is very important to what we do. That's 417 00:22:17,960 --> 00:22:20,840 Speaker 10: number one. Number two, we also take a number of centers. 418 00:22:20,920 --> 00:22:22,800 Speaker 10: We have a number of our centers in our portfolio 419 00:22:22,840 --> 00:22:26,760 Speaker 10: that we redevelop so that's improved the look, the feel, 420 00:22:27,040 --> 00:22:30,159 Speaker 10: the customer convenience for that center. It may also be 421 00:22:30,240 --> 00:22:32,600 Speaker 10: taking out some parking because now you don't need as 422 00:22:32,680 --> 00:22:34,760 Speaker 10: much parking, you don't need that same in building in 423 00:22:34,840 --> 00:22:37,800 Speaker 10: some density as well. And then along with that we 424 00:22:38,040 --> 00:22:41,280 Speaker 10: do acquire and so there's always that opportunity for our acquisition. 425 00:22:42,160 --> 00:22:44,879 Speaker 10: It's been a little challenging right now because the pricing 426 00:22:45,040 --> 00:22:48,000 Speaker 10: for product hasn't quite adjusted yet with cap rates. But 427 00:22:48,040 --> 00:22:49,360 Speaker 10: we're starting to see that loosen out. 428 00:22:49,640 --> 00:22:52,520 Speaker 2: You're the tiny house people of real estate of commercial 429 00:22:52,520 --> 00:22:57,000 Speaker 2: real estate, right you're looking in smaller spaces, less parking 430 00:22:58,119 --> 00:23:01,440 Speaker 2: and what and I guess or are closer to each other. 431 00:23:01,880 --> 00:23:03,760 Speaker 2: What's the benefit of that over big? 432 00:23:04,119 --> 00:23:06,359 Speaker 10: So I think small is beautiful And one of the 433 00:23:06,400 --> 00:23:09,080 Speaker 10: reasons why is because if you look at so our 434 00:23:09,720 --> 00:23:11,960 Speaker 10: our space size is about twenty five hundred to three 435 00:23:11,960 --> 00:23:14,840 Speaker 10: thousand square feet and our centers are around fifty to 436 00:23:14,880 --> 00:23:17,800 Speaker 10: one hundred and fifty thousand square feet in size, So 437 00:23:18,080 --> 00:23:20,240 Speaker 10: that to you know, twenty five hundred and three thousand 438 00:23:20,280 --> 00:23:22,680 Speaker 10: square feet has the widest range of uses out there, 439 00:23:22,720 --> 00:23:24,960 Speaker 10: So it's the most flexible real estate. So when you 440 00:23:25,000 --> 00:23:27,760 Speaker 10: think about them all, it's not really that flexible, right, 441 00:23:27,880 --> 00:23:31,000 Speaker 10: it's large, it's big box, There's not a lot of 442 00:23:31,080 --> 00:23:32,760 Speaker 10: users that can go in and out of some of 443 00:23:32,760 --> 00:23:35,800 Speaker 10: those spaces, especially a power center. But in our case, 444 00:23:36,040 --> 00:23:39,359 Speaker 10: we primarily are service based and necessity based, so this 445 00:23:39,480 --> 00:23:42,119 Speaker 10: gives us the most flexibility to meet the neighborhood needs 446 00:23:42,119 --> 00:23:43,040 Speaker 10: with that size space. 447 00:23:43,320 --> 00:23:45,440 Speaker 1: So what are some of the typical tenants or maybe 448 00:23:45,440 --> 00:23:47,000 Speaker 1: an anchor ten or what are some of the areas 449 00:23:47,000 --> 00:23:48,400 Speaker 1: of growth in terms of tenants? 450 00:23:48,440 --> 00:23:52,880 Speaker 10: Now we've sounded really so I found that what has 451 00:23:52,960 --> 00:23:56,240 Speaker 10: transitioned the most going in twenty years in this business 452 00:23:56,680 --> 00:24:00,760 Speaker 10: is that number one grocery anchored used to be where 453 00:24:00,760 --> 00:24:03,160 Speaker 10: things are, but if you think about where the competition 454 00:24:03,240 --> 00:24:06,280 Speaker 10: is for grocery, it's really restaurants and that has everything 455 00:24:06,280 --> 00:24:09,040 Speaker 10: to do with convenience in the experience. So we've seen 456 00:24:09,080 --> 00:24:12,080 Speaker 10: this real explosion in the restaurant uses in most of 457 00:24:12,080 --> 00:24:15,600 Speaker 10: our centers, and so that's been the primary driver. 458 00:24:15,760 --> 00:24:17,760 Speaker 1: Is that like a Chili's or something like that as 459 00:24:17,800 --> 00:24:19,639 Speaker 1: an anchor or more local. 460 00:24:19,680 --> 00:24:22,720 Speaker 10: More local in fact, so many people that that's part 461 00:24:22,720 --> 00:24:25,200 Speaker 10: of the experiences that people are looking for right now, 462 00:24:25,320 --> 00:24:28,080 Speaker 10: is the taste of food and chef inspired and so 463 00:24:28,160 --> 00:24:30,919 Speaker 10: on and so forth. So especially in Texas, we have 464 00:24:30,960 --> 00:24:33,600 Speaker 10: a very, very broad range of restaurant uses all the way. 465 00:24:34,200 --> 00:24:35,960 Speaker 10: Houston in particular is very international. 466 00:24:36,160 --> 00:24:39,000 Speaker 1: Texas is I mean, it's a country in and of itself. 467 00:24:39,040 --> 00:24:40,159 Speaker 1: I mean, I know you guys like to think of 468 00:24:40,200 --> 00:24:42,959 Speaker 1: yourself as not even part of the country, but in Texas, 469 00:24:43,320 --> 00:24:46,000 Speaker 1: I mean, it's it's so big. Is there certain parts 470 00:24:46,000 --> 00:24:48,320 Speaker 1: of Texas that you guys focus on more urban airs or. 471 00:24:48,320 --> 00:24:50,160 Speaker 10: More world So Texas was its own country. 472 00:24:51,720 --> 00:24:54,440 Speaker 3: The team proud of that. 473 00:24:55,200 --> 00:24:58,480 Speaker 10: So primarily we stay in the fastest largest growing cities, 474 00:24:58,520 --> 00:25:01,600 Speaker 10: So we're in Dallas, San Antonio, Austin, Houston, and then 475 00:25:01,720 --> 00:25:04,720 Speaker 10: we're in Phoenix and you know the Phoenix East Valley 476 00:25:04,760 --> 00:25:06,400 Speaker 10: as well, so which is also FASc. 477 00:25:06,359 --> 00:25:08,399 Speaker 2: You want to have a neighborhoody neighborhood. 478 00:25:08,440 --> 00:25:11,159 Speaker 3: Everybody's moving, I mean, what's the what's it like in 479 00:25:11,200 --> 00:25:12,760 Speaker 3: your market? Everybody's moving there. 480 00:25:13,320 --> 00:25:15,919 Speaker 10: That's it is very very exciting. So I think we 481 00:25:16,040 --> 00:25:20,760 Speaker 10: jokingly call Phoenix Chicago West to California East so because 482 00:25:20,800 --> 00:25:23,200 Speaker 10: that and that's really changed. So finally in Phoenix you 483 00:25:23,280 --> 00:25:26,320 Speaker 10: have really good Italian food, thank you for Chaga. But 484 00:25:26,440 --> 00:25:28,359 Speaker 10: on the other side of that, I think that in 485 00:25:28,400 --> 00:25:32,520 Speaker 10: particular Dallas has had such such a gross strength because 486 00:25:32,560 --> 00:25:36,680 Speaker 10: they've really focused on the job market and Fortune five 487 00:25:36,760 --> 00:25:39,560 Speaker 10: hundred to one hundred companies, so they've gone after that 488 00:25:39,720 --> 00:25:43,400 Speaker 10: group of that job market. Austin has done extremely well, 489 00:25:43,440 --> 00:25:45,680 Speaker 10: and because of that, San Antonio is people are starting 490 00:25:45,680 --> 00:25:47,840 Speaker 10: to move to San Antonio. So you have, of course 491 00:25:48,080 --> 00:25:50,600 Speaker 10: the educational system that really pushes that. And you have 492 00:25:50,680 --> 00:25:53,159 Speaker 10: high tech there. I mean with Michael Delhi has you know, 493 00:25:53,200 --> 00:25:54,960 Speaker 10: created his own ecosystem. 494 00:25:54,400 --> 00:25:54,960 Speaker 3: There of tech. 495 00:25:55,040 --> 00:25:55,200 Speaker 1: Yeah. 496 00:25:55,320 --> 00:25:58,920 Speaker 10: So, and then Houston has been you know viewed primarily 497 00:25:58,920 --> 00:26:02,159 Speaker 10: as willing gas but it's really changed with Houston is 498 00:26:02,200 --> 00:26:04,879 Speaker 10: that they've gotten heavily. It's the largest medical district in 499 00:26:04,920 --> 00:26:08,000 Speaker 10: the world, so that shifted as well. So you know 500 00:26:08,040 --> 00:26:10,040 Speaker 10: a lot of people are moving there because it's a 501 00:26:10,080 --> 00:26:13,200 Speaker 10: business friendly state, but it also is the job drivers 502 00:26:13,280 --> 00:26:16,080 Speaker 10: that just the job growth has been tremendous. And then 503 00:26:16,119 --> 00:26:18,440 Speaker 10: we're seeing the same in Phoenix and especially there it's 504 00:26:18,440 --> 00:26:21,280 Speaker 10: getting younger. Used to be a retirement community, but you 505 00:26:21,320 --> 00:26:24,440 Speaker 10: have ASU which has been a huge, you know, proponent 506 00:26:24,480 --> 00:26:25,440 Speaker 10: of change there as well. 507 00:26:25,600 --> 00:26:27,760 Speaker 1: It's a little hot in your markets though, but it's 508 00:26:27,760 --> 00:26:28,760 Speaker 1: a dry heat. 509 00:26:28,840 --> 00:26:34,040 Speaker 3: Yeah, their entire summer was like one hundred and twenty degrees. 510 00:26:35,600 --> 00:26:38,800 Speaker 10: It's been a little steamy in Houston and then Arizona 511 00:26:38,840 --> 00:26:39,880 Speaker 10: it's just it's very hot. 512 00:26:40,119 --> 00:26:42,560 Speaker 1: So wow, all right, but the great market's great growth markets. 513 00:26:42,800 --> 00:26:45,639 Speaker 1: Christine messt Andre, thank you so much for joining us. 514 00:26:45,720 --> 00:26:49,159 Speaker 1: Christine is the CEO of white Stone Reit the New 515 00:26:49,200 --> 00:26:51,320 Speaker 1: York Sock Exchange. Take her to put into your Bloomberg 516 00:26:51,400 --> 00:26:53,840 Speaker 1: terminals w s R. 517 00:26:54,680 --> 00:26:58,119 Speaker 8: You're listening to the team Ken's are Live program Bloomberg 518 00:26:58,160 --> 00:27:01,560 Speaker 8: Markets weekdays at ten am Eastern on Bloomberg dot Com, 519 00:27:01,600 --> 00:27:04,720 Speaker 8: the iHeartRadio app, and the Bloomberg Business app or listen 520 00:27:04,800 --> 00:27:06,879 Speaker 8: on demand wherever you get your podcast. 521 00:27:09,119 --> 00:27:12,480 Speaker 1: Andrew Silverman, government analysts caring tax policy for Bloomberg Intelligence 522 00:27:12,600 --> 00:27:15,480 Speaker 1: Joints is Andrew, how are you looking at this arm 523 00:27:15,560 --> 00:27:18,760 Speaker 1: IPO in the context of just the IPO bus in general. 524 00:27:20,480 --> 00:27:23,439 Speaker 11: Yeah, thanks, Paul. I actually I wanted to respond to 525 00:27:23,480 --> 00:27:27,480 Speaker 11: your comment about companies going public at all. I think 526 00:27:27,480 --> 00:27:30,439 Speaker 11: you're onto something. I mean, the number of companies that 527 00:27:30,640 --> 00:27:33,560 Speaker 11: are public in the United States has is almost half 528 00:27:33,560 --> 00:27:37,040 Speaker 11: of what it was in nineteen ninety six. It's dropped 529 00:27:37,080 --> 00:27:40,560 Speaker 11: down to something like forty three hundred. And you know, 530 00:27:40,960 --> 00:27:43,560 Speaker 11: companies can get cash in lots of lots of ways. 531 00:27:43,600 --> 00:27:45,280 Speaker 11: They don't have to go public to get their cash. 532 00:27:45,320 --> 00:27:50,240 Speaker 11: I mean, there's about what six point three trillion in 533 00:27:50,320 --> 00:27:54,439 Speaker 11: assets that the private equity funds have. Compliance costs are 534 00:27:54,480 --> 00:27:57,600 Speaker 11: really high right now, it's about an average of four 535 00:27:57,640 --> 00:28:00,679 Speaker 11: percent of a company's market cap. There are more regulations 536 00:28:00,720 --> 00:28:03,200 Speaker 11: than ever, not just the thirty three and thirty four Acts, 537 00:28:03,200 --> 00:28:08,080 Speaker 11: but Sarbanes Oxley and DoD Frank and companies have to 538 00:28:08,119 --> 00:28:12,159 Speaker 11: take a short term view in the sense that they 539 00:28:12,200 --> 00:28:17,320 Speaker 11: have to put out quarterly filings and make distributions to 540 00:28:17,320 --> 00:28:19,640 Speaker 11: their shareholders, and so they have to take the short 541 00:28:19,720 --> 00:28:22,439 Speaker 11: term view over long term priorities. And a company like 542 00:28:22,600 --> 00:28:25,679 Speaker 11: ARM really has to prioritize a long term view. It 543 00:28:25,720 --> 00:28:29,320 Speaker 11: has to invest in R and D, so thinking short 544 00:28:29,400 --> 00:28:32,399 Speaker 11: term not the greatest. And one other thing that I 545 00:28:32,400 --> 00:28:35,200 Speaker 11: would bring up, there's going to be this new standard 546 00:28:35,200 --> 00:28:38,680 Speaker 11: which comes out pretty soon from from fasby the Accounting 547 00:28:38,680 --> 00:28:44,400 Speaker 11: Standards Board called Noklar, which experts believe will double or 548 00:28:44,400 --> 00:28:47,960 Speaker 11: even triple the fees that companies have to pay to 549 00:28:48,000 --> 00:28:51,160 Speaker 11: their auditors. And what it does is it essentially says 550 00:28:51,200 --> 00:28:54,640 Speaker 11: to the auditors, if there's any regulation, law, anything around 551 00:28:54,680 --> 00:28:57,240 Speaker 11: the world that's going to have a material impact on 552 00:28:57,280 --> 00:29:00,440 Speaker 11: a company's filings, it has to be included. And so 553 00:29:00,880 --> 00:29:04,480 Speaker 11: that means that others are responsible for checking everything everywhere 554 00:29:04,480 --> 00:29:07,240 Speaker 11: in any country that the company operates in order to 555 00:29:07,280 --> 00:29:11,600 Speaker 11: make sure that all material risks are covered. So it's 556 00:29:11,640 --> 00:29:13,440 Speaker 11: not a great time to be a public company. 557 00:29:13,440 --> 00:29:16,040 Speaker 2: Those are all the reasons you wouldn't want to go public. 558 00:29:16,240 --> 00:29:19,800 Speaker 2: And I mean clearly, if you're a billionaire and you 559 00:29:19,800 --> 00:29:22,840 Speaker 2: don't have a fantastic valuation, you take your company private. 560 00:29:22,960 --> 00:29:28,000 Speaker 2: That's the smart move. Andrew Silverman, hang tight for a second, 561 00:29:28,000 --> 00:29:31,000 Speaker 2: because I want to bring Kunjon Sabani leads semiconductor analysts 562 00:29:31,000 --> 00:29:34,560 Speaker 2: for Bloomberg Intelligence cou John. Having said all that, and 563 00:29:34,560 --> 00:29:37,160 Speaker 2: I'm sure you know all the reasons why you wouldn't 564 00:29:37,160 --> 00:29:39,600 Speaker 2: necessarily want to go public. Why is massa son? Why 565 00:29:39,640 --> 00:29:42,960 Speaker 2: is SoftBank taking arm public right now rather than any 566 00:29:43,000 --> 00:29:45,880 Speaker 2: other exit exit strategy? 567 00:29:46,280 --> 00:29:48,480 Speaker 12: Yeah, I mean, simple reason is they just need liquidity 568 00:29:48,640 --> 00:29:51,960 Speaker 12: right now given what's happening in their parent business, Softmak. 569 00:29:52,040 --> 00:29:54,040 Speaker 12: So they're just in need of some cash and this 570 00:29:54,200 --> 00:29:57,960 Speaker 12: is one of their biggest assets, which might not be 571 00:29:58,000 --> 00:30:00,520 Speaker 12: the perfect time, but still relatively in the pass, it's 572 00:30:00,520 --> 00:30:02,960 Speaker 12: a better time today to go public with this. The 573 00:30:03,000 --> 00:30:05,280 Speaker 12: other thing to keep in account, they're limiting their flow 574 00:30:05,400 --> 00:30:08,520 Speaker 12: to really like only five billion dollars, less than ten percent, 575 00:30:08,640 --> 00:30:12,040 Speaker 12: so they are holding on to get a higher price 576 00:30:12,160 --> 00:30:13,040 Speaker 12: later in the future. 577 00:30:14,240 --> 00:30:17,120 Speaker 1: Hey, Kun John, you know, as I looked at this perspectives, 578 00:30:17,120 --> 00:30:19,240 Speaker 1: it looks like this is a company that designs chips 579 00:30:19,240 --> 00:30:24,000 Speaker 1: for telephones. Great, but they are pitching this company now 580 00:30:24,120 --> 00:30:28,000 Speaker 1: as hey, we're going to be an AI company going forward. 581 00:30:28,360 --> 00:30:29,520 Speaker 3: So they're asking me. 582 00:30:29,520 --> 00:30:33,360 Speaker 1: To pay an AI ish type multiple for a phone 583 00:30:33,440 --> 00:30:36,320 Speaker 1: chip manufacturer. Is that kind of what they're asking the 584 00:30:36,320 --> 00:30:37,560 Speaker 1: market to buy off on. 585 00:30:39,400 --> 00:30:42,760 Speaker 12: Yes, that's exactly right. I mean, look, they're pitching, they're 586 00:30:42,800 --> 00:30:45,720 Speaker 12: asking the market to underwrite the future, sort of the 587 00:30:45,760 --> 00:30:49,520 Speaker 12: next in media moment, and their current business is primarily, 588 00:30:49,560 --> 00:30:52,120 Speaker 12: like you said, smartphones and consumer electronics and to some 589 00:30:52,160 --> 00:30:55,920 Speaker 12: degree IoT, but the AI server and the automotive market 590 00:30:56,000 --> 00:30:59,880 Speaker 12: is where they've had recent designments which they expect to 591 00:31:00,080 --> 00:31:02,120 Speaker 12: or they share there, and that is what they're selling 592 00:31:02,160 --> 00:31:04,160 Speaker 12: to the investors, like, hey, you can bet on us 593 00:31:04,200 --> 00:31:06,600 Speaker 12: for this coming in the future, so you don't miss out. 594 00:31:07,160 --> 00:31:09,080 Speaker 1: Hey, Andrew, back in today, you know, I could take 595 00:31:09,080 --> 00:31:11,680 Speaker 1: a company public with not much more than a business plan, 596 00:31:11,880 --> 00:31:15,040 Speaker 1: But today it seems like the market once not only 597 00:31:15,240 --> 00:31:19,440 Speaker 1: revenues but profits. I mean that also maybe thins out 598 00:31:19,480 --> 00:31:22,000 Speaker 1: the herd for potential IPO candidates. 599 00:31:23,960 --> 00:31:29,480 Speaker 11: Yeah, that's exactly right. And in this case, I mean, well, so, 600 00:31:30,280 --> 00:31:32,440 Speaker 11: I mean why to invest in a company. I mean, 601 00:31:32,480 --> 00:31:34,000 Speaker 11: on the one hand, you want to get your returns. 602 00:31:34,160 --> 00:31:37,719 Speaker 11: On the other hand, you have an expectation you're going 603 00:31:37,760 --> 00:31:40,240 Speaker 11: to have some sort of control over over the company 604 00:31:40,240 --> 00:31:41,880 Speaker 11: that you're investing in, and this is not one of 605 00:31:41,920 --> 00:31:44,680 Speaker 11: those cases because soft Bank is going to keep controlling 606 00:31:44,720 --> 00:31:47,520 Speaker 11: it after the IPO, and it's going to be what's 607 00:31:47,560 --> 00:31:50,240 Speaker 11: called a foreign private issuer, and so the shareholders won't 608 00:31:50,240 --> 00:31:53,760 Speaker 11: even know as much about it as a typical US company, 609 00:31:53,800 --> 00:31:56,200 Speaker 11: won't have to make quarterly filings, won't have to have 610 00:31:56,320 --> 00:32:00,760 Speaker 11: quarterly shareholder calls, and not subject to reg AfD, so 611 00:32:00,840 --> 00:32:04,680 Speaker 11: it can share material non public information selectively, not just 612 00:32:04,880 --> 00:32:10,560 Speaker 11: to a select group of shareholders, not all shareholders. So yeah, 613 00:32:10,600 --> 00:32:13,640 Speaker 11: I mean, if the only thing that people are investing 614 00:32:13,640 --> 00:32:16,160 Speaker 11: in ARMED for is a shareholders distribution, I think they're 615 00:32:16,160 --> 00:32:18,080 Speaker 11: also going to be disappointed in the fact that this 616 00:32:18,120 --> 00:32:20,680 Speaker 11: company has to invest so much and it's R and D, 617 00:32:20,920 --> 00:32:23,320 Speaker 11: and it also has such high operating expenses. 618 00:32:24,080 --> 00:32:26,560 Speaker 2: So and it's a good point that this is all 619 00:32:26,680 --> 00:32:31,160 Speaker 2: about soft Bank, Kunjohn. ARM isn't reaping any of the 620 00:32:31,200 --> 00:32:34,440 Speaker 2: proceeds from this IPO, right, It's not like they're going 621 00:32:34,520 --> 00:32:36,600 Speaker 2: to be able to reinvest and build their business. This 622 00:32:36,720 --> 00:32:38,960 Speaker 2: is just cashing out from Masa Sun. 623 00:32:39,800 --> 00:32:40,680 Speaker 4: That's exactly right. 624 00:32:40,800 --> 00:32:42,520 Speaker 12: None of the proceeds are going to ARM to be 625 00:32:42,520 --> 00:32:43,760 Speaker 12: invested in the business. 626 00:32:44,400 --> 00:32:47,320 Speaker 1: Kunjun, Just real quick thirty seconds of the chip makers 627 00:32:47,320 --> 00:32:49,400 Speaker 1: out there which ones do you think are best positioned 628 00:32:49,440 --> 00:32:50,760 Speaker 1: for this AI move? 629 00:32:52,120 --> 00:32:54,360 Speaker 12: I mean in Nvidia, of course we all are aware 630 00:32:54,400 --> 00:32:58,920 Speaker 12: of this second closes as AMD, they are also betting 631 00:32:58,960 --> 00:33:02,520 Speaker 12: big on AI, and I would go broad common Intell 632 00:33:02,560 --> 00:33:04,440 Speaker 12: also have significant air exposure. 633 00:33:04,800 --> 00:33:09,560 Speaker 1: And do you expect can a company like arm make 634 00:33:09,600 --> 00:33:10,080 Speaker 1: that pivot? 635 00:33:10,120 --> 00:33:12,040 Speaker 3: Do you think? How do you view that opportunity? 636 00:33:13,360 --> 00:33:13,720 Speaker 6: They could? 637 00:33:13,720 --> 00:33:16,520 Speaker 12: I mean, look, they currently they have low single digit share, 638 00:33:16,720 --> 00:33:22,040 Speaker 12: but they have had recent massive wins Amazon, Google, startups 639 00:33:22,040 --> 00:33:26,280 Speaker 12: like mpere adopting ARMED technology Apple, so there's room to 640 00:33:27,520 --> 00:33:30,680 Speaker 12: leverage and build on those wins, and they can. I mean, look, 641 00:33:30,720 --> 00:33:32,800 Speaker 12: they don't need to beat the dominant player even if 642 00:33:32,840 --> 00:33:35,760 Speaker 12: they grow their market share. But another five percent, that's 643 00:33:35,920 --> 00:33:38,600 Speaker 12: talking about billions of dollars adding to a company which 644 00:33:38,640 --> 00:33:41,680 Speaker 12: is a low three billion in revenue, So significant growth 645 00:33:41,680 --> 00:33:43,920 Speaker 12: from just a little bit of an increment share games. 646 00:33:44,080 --> 00:33:45,600 Speaker 3: All right, thanks so much for joining us. 647 00:33:45,640 --> 00:33:49,080 Speaker 1: Conjoen Sapani he is the technology analys for Bloomberg Intelligence 648 00:33:49,120 --> 00:33:52,320 Speaker 1: based in San Francisco. And Andrew Silverman government analys covering 649 00:33:52,320 --> 00:33:55,479 Speaker 1: a tax policy, looking at the IPO market in general. 650 00:33:55,520 --> 00:33:58,720 Speaker 1: He does all that stuff for Bloomberg Intelligence based down 651 00:33:58,800 --> 00:34:02,560 Speaker 1: in Washington, DC. We've got bi analysts basically everywhere. 652 00:34:02,120 --> 00:34:02,720 Speaker 3: They need to be. 653 00:34:02,800 --> 00:34:05,160 Speaker 1: If you need tech, we got folks in San Francisco. 654 00:34:05,200 --> 00:34:08,239 Speaker 1: If you need the policy stuff, we got folks down 655 00:34:08,239 --> 00:34:10,480 Speaker 1: in DC, right where it all happens. So this bifolks 656 00:34:10,520 --> 00:34:11,520 Speaker 1: know what they're doing down there. 657 00:34:11,920 --> 00:34:13,160 Speaker 5: You're listening to the tape. 658 00:34:13,320 --> 00:34:16,680 Speaker 8: Cat's are live program Bloomberg Markets weekdays at ten am 659 00:34:16,719 --> 00:34:20,839 Speaker 8: Eastern on Bloomberg Radio, the tune in app, Bloomberg dot Com. 660 00:34:20,560 --> 00:34:21,959 Speaker 5: And the Bloomberg Business app. 661 00:34:22,040 --> 00:34:24,839 Speaker 8: You can also listen live on Amazon Alexa from our 662 00:34:24,840 --> 00:34:30,040 Speaker 8: flagship New York station. Just say Alexa, play Bloomberg eleven thirty. 663 00:34:31,280 --> 00:34:32,080 Speaker 3: It's called gaming. 664 00:34:32,280 --> 00:34:34,960 Speaker 1: My favorite sectors to cover the casinos. But we're not 665 00:34:34,960 --> 00:34:37,200 Speaker 1: gonna be talking craps or blackjack. 666 00:34:36,760 --> 00:34:38,760 Speaker 3: Or any of that kind of stuff. We're talking hacking. 667 00:34:39,080 --> 00:34:40,799 Speaker 1: I think some of these casino companies have been hacked 668 00:34:40,840 --> 00:34:42,399 Speaker 1: over the past couple of days. I'm talking to big 669 00:34:42,440 --> 00:34:45,960 Speaker 1: ones like MGM and Caesars. Let's break this down, see 670 00:34:46,000 --> 00:34:49,040 Speaker 1: what the risk is here to these companies. Brian Egger, 671 00:34:49,360 --> 00:34:52,160 Speaker 1: Senior Gaming Analysts and Lodging Animals, Bloomberg Intelligence, joins Us 672 00:34:52,160 --> 00:34:56,399 Speaker 1: and Jody Lori credit analysts with Bloomberg Intelligence. She joins 673 00:34:56,480 --> 00:35:00,200 Speaker 1: us on via zoom both via Zoom here and in 674 00:35:00,200 --> 00:35:02,520 Speaker 1: our Princeton office. Brian, let's just start with you what's 675 00:35:02,560 --> 00:35:05,560 Speaker 1: going on with these big casino companies and some hacking. 676 00:35:07,880 --> 00:35:09,840 Speaker 13: So it came about we found out a couple of 677 00:35:09,920 --> 00:35:13,440 Speaker 13: days ago that MGM has been the target of an 678 00:35:13,440 --> 00:35:18,520 Speaker 13: ongoing cyber attack TEMP that has resulted in systems shutdowns 679 00:35:18,520 --> 00:35:23,319 Speaker 13: across a wide range of services. That's casino, hotel, other 680 00:35:23,440 --> 00:35:26,920 Speaker 13: systems that have had to revert to manual operations. Obviously, 681 00:35:26,920 --> 00:35:30,840 Speaker 13: it's been significantly disruptive, so there's an ongoing effort to 682 00:35:30,880 --> 00:35:35,720 Speaker 13: remediate this, but it has certainly been an ongoing topic 683 00:35:35,760 --> 00:35:37,480 Speaker 13: of interest to anyone following the industry. 684 00:35:38,280 --> 00:35:42,359 Speaker 1: Hey, Jody, from the balance sheet perspective, from the talk 685 00:35:42,400 --> 00:35:45,000 Speaker 1: to us about these two companies or the industry in general, 686 00:35:45,360 --> 00:35:47,120 Speaker 1: about kind of where we are in terms of the 687 00:35:47,120 --> 00:35:49,520 Speaker 1: capital structure and the debt loads and the leverage. Are 688 00:35:49,520 --> 00:35:51,240 Speaker 1: these balance sheets in decent shape? 689 00:35:52,120 --> 00:35:54,440 Speaker 14: Yeah, so, I think I think that's definitely a great question. 690 00:35:54,880 --> 00:35:57,839 Speaker 14: These companies have been very much improving their balance sheets 691 00:35:57,880 --> 00:35:59,960 Speaker 14: since the pandemic. But it's a little bit more complic 692 00:36:00,400 --> 00:36:02,319 Speaker 14: that and a little bit more nuanced. If you take 693 00:36:02,320 --> 00:36:06,759 Speaker 14: someone like Caesar's, they've been directly deleveraging proactively MGM. It's 694 00:36:06,800 --> 00:36:11,120 Speaker 14: a little bit touch and go because they opted to 695 00:36:11,160 --> 00:36:13,319 Speaker 14: sell out of their assets through a sale lease back, 696 00:36:13,760 --> 00:36:16,160 Speaker 14: and so a substantial portion of their of their quote 697 00:36:16,239 --> 00:36:19,680 Speaker 14: unquote debt or if you consider adjusted lease back debt 698 00:36:19,960 --> 00:36:22,799 Speaker 14: is leasebacks. I mean, that's about half of their debt 699 00:36:22,840 --> 00:36:25,520 Speaker 14: load outstanding. So from a debt perspective, you say, all right, look, 700 00:36:25,560 --> 00:36:28,560 Speaker 14: these companies are actually pretty good shape. But if you 701 00:36:28,600 --> 00:36:32,960 Speaker 14: add leases, it makes MGM look less favorable than Caesar's. 702 00:36:33,640 --> 00:36:34,520 Speaker 3: But there's no issue here. 703 00:36:34,600 --> 00:36:36,759 Speaker 1: Jody just kind of like, if there's gonna be a 704 00:36:36,800 --> 00:36:39,480 Speaker 1: material hit to their profitability or the cash loads for 705 00:36:40,360 --> 00:36:42,680 Speaker 1: either of these companies, do you think yeah? 706 00:36:42,760 --> 00:36:45,400 Speaker 14: So, I think that's the key is that you know, 707 00:36:45,400 --> 00:36:47,360 Speaker 14: and Brian and I have been talking about it all week, 708 00:36:47,680 --> 00:36:51,960 Speaker 14: is at least for now, the expected effects for their 709 00:36:51,960 --> 00:36:54,600 Speaker 14: cashlows from a long term perspective might not be so grand. 710 00:36:54,920 --> 00:36:56,640 Speaker 14: It's really a question of what is the sort of 711 00:36:56,719 --> 00:36:59,720 Speaker 14: echo effects for these companies over time that could impact 712 00:36:59,719 --> 00:37:02,440 Speaker 14: March and therefore cash flows. And I think you know, 713 00:37:02,800 --> 00:37:06,239 Speaker 14: the issue is you know, if if insurance is going 714 00:37:06,320 --> 00:37:08,800 Speaker 14: to cover a good portion of it, what sort of 715 00:37:08,880 --> 00:37:14,800 Speaker 14: knock on effects to things like reservations might might be affected. 716 00:37:14,840 --> 00:37:17,239 Speaker 14: You know, if MGM site is down all week and 717 00:37:17,280 --> 00:37:20,239 Speaker 14: it's right during their peak season of bookings, because we 718 00:37:20,280 --> 00:37:21,920 Speaker 14: have a lot of events going on that Brian has 719 00:37:21,920 --> 00:37:25,239 Speaker 14: talked dead nauseum about, does this mean that MGM is 720 00:37:25,239 --> 00:37:28,360 Speaker 14: going to lose out to competitors when people are starting 721 00:37:28,360 --> 00:37:30,799 Speaker 14: to book for things like Formula one and things going 722 00:37:30,840 --> 00:37:32,080 Speaker 14: on in the in the fourth quarter. 723 00:37:32,280 --> 00:37:36,000 Speaker 2: Brian, Jody is sick of hearing you talk about the events. 724 00:37:36,680 --> 00:37:44,719 Speaker 2: Come on, man, thats absolutely so. But in terms of 725 00:37:45,080 --> 00:37:48,480 Speaker 2: I just just to wrap up the the hacking side 726 00:37:48,480 --> 00:37:53,359 Speaker 2: of this, are MGM or any of the other casinos 727 00:37:53,600 --> 00:37:58,880 Speaker 2: more at risk of hacking than other you know, I 728 00:37:58,880 --> 00:38:00,400 Speaker 2: guess financial companies. 729 00:38:01,400 --> 00:38:03,040 Speaker 13: I mean, we've begun to view this as at very 730 00:38:03,160 --> 00:38:06,040 Speaker 13: least an industry wide risk. Caesars had an AK report 731 00:38:06,040 --> 00:38:09,279 Speaker 13: out this morning indicating that they were the target of 732 00:38:09,360 --> 00:38:13,879 Speaker 13: another effort to hack into their systems. Along with that 733 00:38:14,000 --> 00:38:18,600 Speaker 13: some of their loyalty program members information was tapped. So 734 00:38:18,680 --> 00:38:21,680 Speaker 13: this is an ongoing where Caesars managed to whether that 735 00:38:21,760 --> 00:38:25,680 Speaker 13: particular or incident without the very visible systems wide outage 736 00:38:25,719 --> 00:38:26,680 Speaker 13: that MGM. 737 00:38:26,400 --> 00:38:27,280 Speaker 6: Is still undergoing. 738 00:38:27,920 --> 00:38:30,520 Speaker 13: But I think it's fair to assume this is going 739 00:38:30,560 --> 00:38:34,319 Speaker 13: to be an industry wide risk required and really coordinating 740 00:38:35,200 --> 00:38:38,560 Speaker 13: remediation and containment efforts, and you will get some offset 741 00:38:38,920 --> 00:38:42,480 Speaker 13: presumably from MGM, from cyber insurance. We just do not 742 00:38:42,640 --> 00:38:47,400 Speaker 13: know the degree to which we'll get those offsetting streams. 743 00:38:47,560 --> 00:38:49,719 Speaker 1: All right, let's step back and look at this just 744 00:38:49,840 --> 00:38:52,840 Speaker 1: this industry in general, Jody. When you talk to creditors 745 00:38:52,920 --> 00:38:56,200 Speaker 1: out there, credit investors, how did they view the gaming business? 746 00:38:56,239 --> 00:38:59,480 Speaker 1: Is this something that is a really solid credit out 747 00:38:59,520 --> 00:39:02,080 Speaker 1: there for a lot of investors? Do they buy the industry? 748 00:39:02,280 --> 00:39:04,160 Speaker 1: Do they buy individual names? How do they approach it? 749 00:39:05,520 --> 00:39:07,920 Speaker 14: I think if you like gaming, you're in gaming. You're 750 00:39:07,960 --> 00:39:10,560 Speaker 14: full fledged in gaming, and then you're just picking names. 751 00:39:10,640 --> 00:39:13,080 Speaker 14: I think there's a lot of creditors who say, I 752 00:39:13,120 --> 00:39:15,400 Speaker 14: don't even want to touch the space because it's too cyclical. 753 00:39:15,760 --> 00:39:18,000 Speaker 14: I mean, let's remember that back in two thousand and eight, 754 00:39:18,080 --> 00:39:22,560 Speaker 14: MGM got a little bit over over levered with City Center. 755 00:39:22,600 --> 00:39:24,040 Speaker 14: They were able to get themselves out of it. But 756 00:39:24,160 --> 00:39:27,320 Speaker 14: comparison to that, Caesar's and we're not talking to Caesars 757 00:39:27,360 --> 00:39:29,440 Speaker 14: of today, because the Caesars of today is El Dorado, 758 00:39:29,680 --> 00:39:33,279 Speaker 14: But historically Caesar's was lbo'ed taken private and then they 759 00:39:33,400 --> 00:39:38,160 Speaker 14: ended up going through restructuring. So it's definitely an industry 760 00:39:38,200 --> 00:39:39,719 Speaker 14: that if you like it, you really like it and 761 00:39:39,760 --> 00:39:41,560 Speaker 14: you're involved in it. If you don't like it, you 762 00:39:41,560 --> 00:39:42,480 Speaker 14: don't really go near it. 763 00:39:43,200 --> 00:39:45,520 Speaker 2: But to be clear, I mean Paul was talking about 764 00:39:45,520 --> 00:39:51,279 Speaker 2: craps and blackjack, and I mean that's not is that 765 00:39:51,320 --> 00:39:53,799 Speaker 2: still the lion's share of their revenue or is their 766 00:39:53,880 --> 00:39:58,239 Speaker 2: revenue more like you know, Banker's booking conferences. 767 00:39:57,480 --> 00:39:58,360 Speaker 3: At the resort. 768 00:39:59,360 --> 00:40:02,799 Speaker 14: They're definitely shifting, shifting their mix, and we're seeing that 769 00:40:02,880 --> 00:40:05,880 Speaker 14: with with Sands over in Macau. I mean, they're focusing 770 00:40:05,960 --> 00:40:08,520 Speaker 14: so much on their non gaming portion of their business, 771 00:40:08,800 --> 00:40:10,880 Speaker 14: and I think you're seeing that in Vegas as well. 772 00:40:10,960 --> 00:40:14,000 Speaker 14: And they would hope for the regional casinos that obviously 773 00:40:14,160 --> 00:40:16,640 Speaker 14: gaming is the bread and butter of the business, but 774 00:40:16,719 --> 00:40:19,040 Speaker 14: they want to give people the other element. They want 775 00:40:19,040 --> 00:40:20,880 Speaker 14: to give people the shows and the shopping and the 776 00:40:20,960 --> 00:40:23,919 Speaker 14: experiences because that's what's going to keep people. That's also 777 00:40:23,960 --> 00:40:26,919 Speaker 14: going to bring other types of individuals than just your 778 00:40:26,920 --> 00:40:36,040 Speaker 14: dedicated slot users or craps tables players. 779 00:40:31,440 --> 00:40:36,279 Speaker 1: Vegas of course, But Brian, I understand and reading your 780 00:40:36,280 --> 00:40:38,920 Speaker 1: research and talking to you, that the regional gaming business 781 00:40:39,000 --> 00:40:40,640 Speaker 1: is a big, big part of it. Talk to us 782 00:40:40,640 --> 00:40:43,520 Speaker 1: about some of those kind of like non Vegas aspect 783 00:40:43,600 --> 00:40:46,680 Speaker 1: to the US gaming business. How's that performing? Because gas 784 00:40:46,760 --> 00:40:48,600 Speaker 1: is expensive, It's going to cost me a lot to 785 00:40:48,600 --> 00:40:51,920 Speaker 1: get to my Mississippi River kind of casino. 786 00:40:52,719 --> 00:40:55,000 Speaker 13: Yeah, the regional gaming trends that performed well, we've probably 787 00:40:55,040 --> 00:40:58,480 Speaker 13: webbled off certainly above prevend netic levels, but compared to 788 00:40:58,520 --> 00:41:01,680 Speaker 13: last year, things that become or perhaps flatten. I think 789 00:41:01,719 --> 00:41:04,560 Speaker 13: the bigger challenge, not only for Vegas but for regional 790 00:41:04,600 --> 00:41:07,560 Speaker 13: properties is on the cost side. As the companies are 791 00:41:07,600 --> 00:41:11,759 Speaker 13: reinstated full pre pandemic service levels, they may find it 792 00:41:11,840 --> 00:41:15,399 Speaker 13: trperts to sustain the very significant margin gains to get 793 00:41:15,480 --> 00:41:18,839 Speaker 13: relative through pre pandemic experience. I will point out that 794 00:41:18,880 --> 00:41:24,040 Speaker 13: this cyber incident is affecting MGM's regional properties as well 795 00:41:24,080 --> 00:41:26,800 Speaker 13: as its Vegas properties. So this is really kind of 796 00:41:26,840 --> 00:41:29,400 Speaker 13: a national issue for MGM. 797 00:41:31,000 --> 00:41:35,520 Speaker 2: In terms of, you know, where they're getting their revenue. 798 00:41:35,600 --> 00:41:43,200 Speaker 2: You mentioned Jody mcau is Las Vegas dwindling as a 799 00:41:43,239 --> 00:41:46,200 Speaker 2: you know, revenue source. Are they getting more revenue overseas 800 00:41:46,200 --> 00:41:47,720 Speaker 2: now the bigger companies. 801 00:41:48,440 --> 00:41:50,680 Speaker 14: So if you look at it from more than revenue, 802 00:41:50,719 --> 00:41:53,279 Speaker 14: we care more on Ebadah, especially from a debt perspective, 803 00:41:53,320 --> 00:41:57,080 Speaker 14: and from an Ebadah perspective, MACAW is still coming back. 804 00:41:57,239 --> 00:42:02,919 Speaker 14: So MCAW was roughly twenty two percent of mgmbadar which 805 00:42:02,960 --> 00:42:07,359 Speaker 14: includes rent in before the pandemic, So twenty nineteen they're 806 00:42:07,400 --> 00:42:11,080 Speaker 14: not quite there yet. They have seen a significant uptick, 807 00:42:11,440 --> 00:42:15,400 Speaker 14: but Vegas and regionals are still certainly the lion's share 808 00:42:15,640 --> 00:42:17,840 Speaker 14: of what's going on in their business. No pun intended 809 00:42:17,920 --> 00:42:21,759 Speaker 14: on the line because that's MGM's logo. But I think 810 00:42:21,800 --> 00:42:24,680 Speaker 14: that's the key, is that MCAW is this source of 811 00:42:25,400 --> 00:42:29,920 Speaker 14: momentum that's happening, but it's not quite two pre pandemic levels, 812 00:42:29,920 --> 00:42:31,520 Speaker 14: and that's a function of the fact that it's only 813 00:42:31,520 --> 00:42:33,680 Speaker 14: been open since the beginning of the year. I think 814 00:42:33,680 --> 00:42:36,359 Speaker 14: that that provides some nice tailwes for MGM to make 815 00:42:36,440 --> 00:42:38,120 Speaker 14: up for the fact that the US business is having 816 00:42:38,120 --> 00:42:42,319 Speaker 14: this little blip of an issue. And even if things 817 00:42:42,360 --> 00:42:44,760 Speaker 14: start to slow down in the US and people aren't 818 00:42:45,120 --> 00:42:47,920 Speaker 14: doing this revenge spending that we saw over the past 819 00:42:47,960 --> 00:42:50,480 Speaker 14: year and a half, two years, we might see mcau 820 00:42:50,640 --> 00:42:52,040 Speaker 14: helped to sort of offset that. 821 00:42:52,040 --> 00:42:52,480 Speaker 15: A little bit. 822 00:42:53,840 --> 00:42:56,600 Speaker 1: Hey Brian, is there any new property coming online in Vegas? 823 00:43:00,040 --> 00:43:04,400 Speaker 13: There's a public things that are underway for future developments, 824 00:43:04,800 --> 00:43:06,120 Speaker 13: nothing like really. 825 00:43:06,120 --> 00:43:08,799 Speaker 3: Imminence the right. 826 00:43:09,200 --> 00:43:11,680 Speaker 2: There's that very cool orb where like you two apparently 827 00:43:12,480 --> 00:43:13,200 Speaker 2: the Spears. 828 00:43:13,239 --> 00:43:17,839 Speaker 13: The Sphere is interesting a non gaming attraction, but it's 829 00:43:18,040 --> 00:43:21,200 Speaker 13: highly significant. A lot of the recent additions to Vegas 830 00:43:21,200 --> 00:43:24,440 Speaker 13: have been not to diminish the importance of large term 831 00:43:24,440 --> 00:43:26,880 Speaker 13: resort development, but a lot of the additions to Vegas 832 00:43:26,920 --> 00:43:29,120 Speaker 13: have been in the form of non gaming entertainment. So 833 00:43:29,160 --> 00:43:32,600 Speaker 13: you've got the Sphere entertainment venue. Jody earlier mentioned the 834 00:43:32,600 --> 00:43:35,239 Speaker 13: Formula one Grand Prix, which I'll mention again. But also 835 00:43:35,280 --> 00:43:40,720 Speaker 13: you've got sports teams significantly, you have the the Golden 836 00:43:40,800 --> 00:43:45,320 Speaker 13: Knights playing at the T Mobile Center. You've got a 837 00:43:45,400 --> 00:43:48,319 Speaker 13: Legion stadium hosting the Raiders, and of course you have 838 00:43:48,400 --> 00:43:51,279 Speaker 13: the A's moving to Vegas at a site that will 839 00:43:51,280 --> 00:43:55,880 Speaker 13: be on the stadium, uh buddying the current Tropicano. So 840 00:43:56,120 --> 00:43:59,239 Speaker 13: not to diminish the importance of potential long term resort developments. 841 00:43:59,239 --> 00:44:05,120 Speaker 13: But these non gaming developments related to entertainment sports conferences, 842 00:44:05,680 --> 00:44:09,080 Speaker 13: those are all rather significant additions to draw tourism that 843 00:44:09,120 --> 00:44:11,320 Speaker 13: don't necessarily a room capacity. 844 00:44:11,480 --> 00:44:14,080 Speaker 3: All right, great stuff as always, Brian Nagger, Jody Lori. 845 00:44:14,239 --> 00:44:17,840 Speaker 1: There. You're analyst at Bloomberg Intelligence covering the gaming biz 846 00:44:17,840 --> 00:44:19,879 Speaker 1: from the equity side and the credit side. It does 847 00:44:19,920 --> 00:44:22,680 Speaker 1: not get any better than that. We got full equity 848 00:44:22,719 --> 00:44:23,640 Speaker 1: and credit coverage. 849 00:44:23,800 --> 00:44:26,920 Speaker 8: You're listening to the tape catch are live program Bloomberg 850 00:44:27,000 --> 00:44:30,560 Speaker 8: Markets weekdays at ten am Eastern on Bloomberg Radio, the 851 00:44:30,640 --> 00:44:32,600 Speaker 8: tune in app, Bloomberg dot Com, and. 852 00:44:32,560 --> 00:44:33,879 Speaker 5: The Bloomberg Business App. 853 00:44:33,920 --> 00:44:36,719 Speaker 8: You can also listen live on Amazon Alexa from our 854 00:44:36,719 --> 00:44:40,360 Speaker 8: flagship New York station. Just say Alexa play Bloomberg. 855 00:44:40,400 --> 00:44:43,680 Speaker 16: Eleven thirty high school friends I have not talked to 856 00:44:43,680 --> 00:44:45,560 Speaker 16: in a long time, who are saying you never told me? 857 00:44:46,320 --> 00:44:49,640 Speaker 16: I think as we're watching this on TV. But most 858 00:44:49,640 --> 00:44:51,839 Speaker 16: of all, I'm so thrilled for the employees of ARM 859 00:44:52,560 --> 00:44:56,640 Speaker 16: thirty three year old company. Great heritage, but watching all 860 00:44:56,680 --> 00:45:00,319 Speaker 16: the employees in Cambridge celebrate simultaneously, that was magical. 861 00:45:00,280 --> 00:45:02,480 Speaker 17: And they might continue to celebrate as we see what 862 00:45:02,600 --> 00:45:07,160 Speaker 17: seventeen eighteen percent increase. How has that journey of going 863 00:45:07,160 --> 00:45:09,839 Speaker 17: out to investors the road show, the story that you've 864 00:45:09,880 --> 00:45:12,480 Speaker 17: been able seemingly to successfully sell the fact that you're 865 00:45:12,480 --> 00:45:13,560 Speaker 17: trading well on this day. 866 00:45:14,040 --> 00:45:16,360 Speaker 15: What was the vision? They wanted to hear revenue growth? 867 00:45:16,400 --> 00:45:18,439 Speaker 17: I hear of eleven percent up to twenty five percent 868 00:45:18,440 --> 00:45:19,279 Speaker 17: in the next couple of years. 869 00:45:19,280 --> 00:45:19,799 Speaker 15: What drives you? 870 00:45:20,160 --> 00:45:23,319 Speaker 16: I think it was a great process. Investors really wanted 871 00:45:23,320 --> 00:45:25,440 Speaker 16: to understand the opportunity we had in front of us, 872 00:45:25,640 --> 00:45:27,800 Speaker 16: and of course AI, which you can't really talk about 873 00:45:27,800 --> 00:45:30,800 Speaker 16: our industry without talking about AI. And I think helping 874 00:45:30,800 --> 00:45:34,600 Speaker 16: them understand that you can't really run AI without ARM, 875 00:45:34,680 --> 00:45:37,040 Speaker 16: without a CPU, and just pointing out to them that 876 00:45:37,080 --> 00:45:39,719 Speaker 16: it's in everywhere, in every device that people touch was 877 00:45:39,719 --> 00:45:40,839 Speaker 16: a big part of the process for. 878 00:45:40,880 --> 00:45:44,160 Speaker 17: Us because everyone has made the equivalent of you're a smartphone, 879 00:45:44,160 --> 00:45:47,120 Speaker 17: it's completely absorbed more than ninety percent of phones is 880 00:45:47,120 --> 00:45:50,000 Speaker 17: where your CPUs are. But the design, the fact that 881 00:45:50,040 --> 00:45:51,960 Speaker 17: you now want to be integral to data centers, and 882 00:45:52,000 --> 00:45:56,360 Speaker 17: they're like, how certain are you on the revenue vision, 883 00:45:56,360 --> 00:45:59,799 Speaker 17: on the profitability vision, even though we see concerns about 884 00:46:00,000 --> 00:46:02,200 Speaker 17: our environment still and whether or not we're in an 885 00:46:02,239 --> 00:46:03,160 Speaker 17: AI hype cycle. 886 00:46:03,440 --> 00:46:07,439 Speaker 16: Yeah, so AI is everywhere, and if it's your edge 887 00:46:07,440 --> 00:46:11,480 Speaker 16: device like the Assistant or the Alexa, or your autonomous vehicle, 888 00:46:11,520 --> 00:46:14,040 Speaker 16: that's all AI. And now we're seeing it in the 889 00:46:14,080 --> 00:46:15,640 Speaker 16: cloud in the data center with all the growth of 890 00:46:15,920 --> 00:46:18,640 Speaker 16: d in Vidia announcing one of their newest products, grace Hopper, 891 00:46:19,000 --> 00:46:21,440 Speaker 16: that is based on ARM. So ARM is everywhere relative 892 00:46:21,440 --> 00:46:24,120 Speaker 16: to AI, we also have a very unique business model 893 00:46:24,400 --> 00:46:26,319 Speaker 16: that gives us the ability to have a very very 894 00:46:26,360 --> 00:46:28,719 Speaker 16: good vision in the future in terms of when people 895 00:46:28,800 --> 00:46:32,040 Speaker 16: use our products. So relative to our confidence in the outlook, 896 00:46:32,760 --> 00:46:34,799 Speaker 16: we have a very very high confidence that the growth 897 00:46:34,880 --> 00:46:36,600 Speaker 16: rate that we have talked about will be sustained. 898 00:46:37,080 --> 00:46:39,600 Speaker 17: How word were invested about China and your exposure. 899 00:46:39,760 --> 00:46:41,080 Speaker 16: I think there were a lot of questions, as you 900 00:46:41,080 --> 00:46:44,920 Speaker 16: can imagine about China in general, given all the geopolitics, 901 00:46:45,040 --> 00:46:46,920 Speaker 16: Our business there looks a lot like the rest of 902 00:46:46,960 --> 00:46:49,120 Speaker 16: the world. We have great growth in the data center, 903 00:46:49,160 --> 00:46:52,560 Speaker 16: we have great growth and automotive China's huge on electric vehicles, 904 00:46:52,600 --> 00:46:55,120 Speaker 16: so it's been terrific there for us. I have the 905 00:46:55,160 --> 00:46:57,919 Speaker 16: same kind of headaches that every other tech CEO has 906 00:46:58,000 --> 00:47:00,680 Speaker 16: regarding how to navigate through this, but no different. 907 00:47:01,680 --> 00:47:03,759 Speaker 17: Do you think there will be more pressure now that 908 00:47:03,800 --> 00:47:04,800 Speaker 17: you're public again? 909 00:47:04,960 --> 00:47:05,440 Speaker 15: Ultimately? 910 00:47:05,480 --> 00:47:08,520 Speaker 17: I mean you came to ARM in twenty thirteen, you 911 00:47:08,560 --> 00:47:10,319 Speaker 17: were listed at that point, but it's not been since 912 00:47:10,440 --> 00:47:12,359 Speaker 17: twenty sixteen that you have been How does the game 913 00:47:12,480 --> 00:47:14,279 Speaker 17: change as a leader of that business now? 914 00:47:14,520 --> 00:47:16,160 Speaker 16: Yeah, I think there's some things that we were able 915 00:47:16,160 --> 00:47:18,440 Speaker 16: to do as a private company that will just be different. Right, 916 00:47:18,600 --> 00:47:21,400 Speaker 16: quarterly earnings, making sure that we hit all our commitments. 917 00:47:21,880 --> 00:47:23,879 Speaker 16: But ARM is not a business you measure from quarter 918 00:47:23,920 --> 00:47:27,359 Speaker 16: to quarter. You measure us over years and decades, and 919 00:47:27,600 --> 00:47:29,680 Speaker 16: the long term vision is something that I am very, 920 00:47:29,800 --> 00:47:31,760 Speaker 16: very passionate about and will continue to drive the company 921 00:47:31,840 --> 00:47:33,520 Speaker 16: the same way, private or public. 922 00:47:33,960 --> 00:47:36,759 Speaker 17: You have a lot of key vested interests, whether they 923 00:47:37,000 --> 00:47:40,360 Speaker 17: be your clients, APPLETSMC and TEIL taking big stakes in 924 00:47:40,400 --> 00:47:44,600 Speaker 17: the company today. How important are those voices? Visa v Masses, 925 00:47:44,960 --> 00:47:46,759 Speaker 17: the head of soft Bank. I'm sure you're on the 926 00:47:46,760 --> 00:47:47,440 Speaker 17: phone too daily. 927 00:47:47,680 --> 00:47:47,879 Speaker 4: Yeah. 928 00:47:47,920 --> 00:47:50,520 Speaker 16: So one of the challenges of our industry, and prely 929 00:47:50,680 --> 00:47:53,560 Speaker 16: with ARM, is that the fact that we're everywhere, none 930 00:47:53,600 --> 00:47:55,879 Speaker 16: of this works unless we play nice with others. So 931 00:47:56,000 --> 00:47:58,719 Speaker 16: we have to have a lot of engagements with strategic 932 00:47:58,760 --> 00:48:02,200 Speaker 16: partners and making sure that we're managing that balance, including Masa, 933 00:48:02,280 --> 00:48:03,320 Speaker 16: our chief shareholder. 934 00:48:04,040 --> 00:48:06,840 Speaker 17: Do you think he lets more of ARM become public? 935 00:48:06,960 --> 00:48:08,320 Speaker 17: Is that something you'd like to see? 936 00:48:08,520 --> 00:48:08,680 Speaker 5: Now? 937 00:48:08,920 --> 00:48:11,640 Speaker 16: Massa and I talk quite frequently, but it's really not 938 00:48:11,680 --> 00:48:14,000 Speaker 16: about the day to day. It's about the long term vision, 939 00:48:14,040 --> 00:48:16,720 Speaker 16: the passion that he and I have about the future, 940 00:48:16,760 --> 00:48:19,120 Speaker 16: and really about what this company can be long term. 941 00:48:19,239 --> 00:48:21,880 Speaker 16: So I don't expect that to change being a public company. 942 00:48:22,000 --> 00:48:23,359 Speaker 15: Do you think you go public in the UK? 943 00:48:23,480 --> 00:48:24,919 Speaker 17: I'm sure it's been a bitter sweet for the London 944 00:48:24,960 --> 00:48:25,759 Speaker 17: Stock Exchange today. 945 00:48:25,840 --> 00:48:28,280 Speaker 16: Yeah, so today obviously we're in New York, but we're 946 00:48:28,280 --> 00:48:31,040 Speaker 16: incredibly proud of our UK heritage and we are opening 947 00:48:31,080 --> 00:48:32,359 Speaker 16: to considering that down the road. 948 00:48:32,640 --> 00:48:34,440 Speaker 15: Okay, any sort of timeframe for that. 949 00:48:34,840 --> 00:48:36,440 Speaker 16: None that we can talk about today. I'm trying to 950 00:48:36,440 --> 00:48:36,839 Speaker 16: get through. 951 00:48:36,719 --> 00:48:39,160 Speaker 17: Today a little bit well before you get through today. 952 00:48:39,200 --> 00:48:45,160 Speaker 17: In that respect, Investors do love all things regarding artificial intelligence. 953 00:48:45,200 --> 00:48:47,960 Speaker 17: But how have you managed to land that your story 954 00:48:48,080 --> 00:48:50,680 Speaker 17: is different? People have been so exuberant about in Nvidia, 955 00:48:50,719 --> 00:48:55,640 Speaker 17: where you used to work, but they're really exuberant about GPUs. 956 00:48:56,280 --> 00:48:58,920 Speaker 17: How have you said that you are able to claim 957 00:48:59,239 --> 00:49:02,879 Speaker 17: a larger rule share of how AI continues to be said. 958 00:49:02,960 --> 00:49:05,040 Speaker 16: Yeah, So one of the benefits of the roadshow was 959 00:49:05,080 --> 00:49:07,319 Speaker 16: spending a lot of time with the investors talking about 960 00:49:07,320 --> 00:49:09,239 Speaker 16: AI and where we fit. And I think one of 961 00:49:09,280 --> 00:49:12,560 Speaker 16: the misconceptions is that a GPU can run without a CPU, 962 00:49:13,080 --> 00:49:15,480 Speaker 16: which is just not the case. The CPU is central 963 00:49:15,520 --> 00:49:18,480 Speaker 16: to every electronics device and there are devices that ship 964 00:49:18,520 --> 00:49:22,239 Speaker 16: with a CPU and a GPU. So once investors kind 965 00:49:22,239 --> 00:49:25,120 Speaker 16: of got that, then explaining where the puck was going 966 00:49:25,160 --> 00:49:28,760 Speaker 16: relative to gosh, and Vidia's next generation host advanced product, 967 00:49:28,800 --> 00:49:32,120 Speaker 16: Grace Hopper, is using ARM CPUs instead of the competition, 968 00:49:32,480 --> 00:49:34,600 Speaker 16: the light bulb went on that, oh my gosh, you 969 00:49:34,680 --> 00:49:36,879 Speaker 16: need the CPU. And at the same time, in Vidia 970 00:49:36,880 --> 00:49:38,560 Speaker 16: has made a big bet on ARM in their most 971 00:49:38,560 --> 00:49:41,799 Speaker 16: sophisticated product, And once that message kind of sunk through, 972 00:49:42,719 --> 00:49:44,640 Speaker 16: the light bulb went on as, oh my gosh, I 973 00:49:44,680 --> 00:49:45,000 Speaker 16: get it. 974 00:49:46,160 --> 00:49:49,920 Speaker 17: There has been this moment though, at which we're trying 975 00:49:49,960 --> 00:49:54,120 Speaker 17: to understand how the landscape works with global demand and 976 00:49:54,120 --> 00:49:56,919 Speaker 17: that translating into revenue. When you think of Oracle's numbers 977 00:49:56,960 --> 00:49:59,400 Speaker 17: that came in and look, they delivered thirty percent increase, 978 00:49:59,440 --> 00:50:02,080 Speaker 17: and it comes to their cloud provision and their AI bet, 979 00:50:02,120 --> 00:50:04,600 Speaker 17: but it doesn't always immediately turn into revenue in the 980 00:50:04,640 --> 00:50:07,440 Speaker 17: here and the now. How convinced are you that it 981 00:50:07,520 --> 00:50:09,880 Speaker 17: is going to be in the bottom line evident in 982 00:50:09,920 --> 00:50:10,920 Speaker 17: the next coming quarters. 983 00:50:10,920 --> 00:50:15,160 Speaker 16: As far as AI, oh, I think it's a questionable 984 00:50:15,160 --> 00:50:17,960 Speaker 16: that AI, which has already been here right for a 985 00:50:18,040 --> 00:50:21,960 Speaker 16: number of years. The chat cheap D moment taught us that, 986 00:50:22,000 --> 00:50:24,040 Speaker 16: oh my gosh, the capability of what this can do 987 00:50:24,120 --> 00:50:26,879 Speaker 16: going forward has gone up a level. And I think 988 00:50:26,920 --> 00:50:29,279 Speaker 16: we've seen that over and over in our industry. There 989 00:50:29,320 --> 00:50:32,360 Speaker 16: tends to be lightning bolt moments that greatly accelerate the 990 00:50:32,360 --> 00:50:34,960 Speaker 16: adoption of technology. And I think with AI, as you 991 00:50:35,000 --> 00:50:38,480 Speaker 16: move towards AGI computers that can think, I think we 992 00:50:38,560 --> 00:50:41,360 Speaker 16: now have seen an accelerant for that. Ultimately down the 993 00:50:41,440 --> 00:50:43,919 Speaker 16: road how people make money off that. It'll get figured out. 994 00:50:44,680 --> 00:50:47,480 Speaker 16: But AI is here to stay. That's unquestionable. 995 00:50:47,760 --> 00:50:50,760 Speaker 17: And it seems as though you're integral to soft banks 996 00:50:50,840 --> 00:50:55,719 Speaker 17: vision of AI and Massa's vision of AI. How can 997 00:50:55,760 --> 00:50:57,319 Speaker 17: you announce it a little bit? You say, he's talking 998 00:50:57,320 --> 00:51:00,680 Speaker 17: to him daily, what his vision of ARM within ecosystem 999 00:51:00,719 --> 00:51:01,640 Speaker 17: going forward really is? 1000 00:51:02,800 --> 00:51:05,759 Speaker 16: He and I share a very same view that ARM 1001 00:51:05,840 --> 00:51:09,080 Speaker 16: is one of the most important technology companies in our industry. 1002 00:51:09,320 --> 00:51:12,120 Speaker 16: Foundational if you will, and I would like to see 1003 00:51:12,200 --> 00:51:14,120 Speaker 16: us over the next five to ten years really be 1004 00:51:14,200 --> 00:51:16,920 Speaker 16: recognized that way, and he and I are very aligned 1005 00:51:16,960 --> 00:51:18,879 Speaker 16: on that. As you can imagine when you think about 1006 00:51:18,920 --> 00:51:20,960 Speaker 16: five to ten years out, there's a lot of things 1007 00:51:20,960 --> 00:51:22,640 Speaker 16: to talk about in terms of the art of the possible, 1008 00:51:22,800 --> 00:51:25,200 Speaker 16: but that's really where he's focused on when his conversations 1009 00:51:25,239 --> 00:51:25,520 Speaker 16: with me. 1010 00:51:26,280 --> 00:51:29,080 Speaker 17: Long term thinking but then near term action. We understand 1011 00:51:29,160 --> 00:51:33,320 Speaker 17: he was pretty integral to calling the shots on price 1012 00:51:33,360 --> 00:51:37,239 Speaker 17: points for today's listing. How was that as just an 1013 00:51:37,239 --> 00:51:39,600 Speaker 17: IPO experience? Did he end up being like, no, we 1014 00:51:39,640 --> 00:51:41,080 Speaker 17: need to leave a little bit of money on the table. 1015 00:51:41,120 --> 00:51:42,440 Speaker 17: This needs to be a successful trade. 1016 00:51:42,560 --> 00:51:44,560 Speaker 16: But all I can say is this is my first 1017 00:51:44,680 --> 00:51:47,600 Speaker 16: road show, so everything was a leterning experience. We wanted 1018 00:51:47,600 --> 00:51:48,719 Speaker 16: to be at the high end of the range that 1019 00:51:48,719 --> 00:51:50,719 Speaker 16: we set forty seven to fifty one, and that's where 1020 00:51:50,719 --> 00:51:52,479 Speaker 16: it ended up. So we're happy. 1021 00:51:52,560 --> 00:51:53,680 Speaker 5: We're very thrilled with today. 1022 00:51:54,160 --> 00:51:56,680 Speaker 15: You said that school friends are going to in touch. 1023 00:51:56,800 --> 00:51:58,880 Speaker 15: Can why have you been hiding this from them? 1024 00:51:59,560 --> 00:52:02,560 Speaker 17: How do you feel differently now as a CEO of 1025 00:52:02,640 --> 00:52:03,920 Speaker 17: a publicly traded company. 1026 00:52:03,960 --> 00:52:05,680 Speaker 15: Do you feel differently today? 1027 00:52:06,800 --> 00:52:08,719 Speaker 16: I feel a little bit differently, and looking ahead at 1028 00:52:08,719 --> 00:52:10,560 Speaker 16: this number than what the share price is, that wasn't 1029 00:52:10,560 --> 00:52:14,399 Speaker 16: something we looked at before. But you know again when 1030 00:52:14,600 --> 00:52:17,239 Speaker 16: and I told this to employees. While the IPO is 1031 00:52:17,239 --> 00:52:19,359 Speaker 16: amazing and I could not be more proud of it, 1032 00:52:19,719 --> 00:52:21,360 Speaker 16: I am far more excited about the next five to 1033 00:52:21,400 --> 00:52:23,960 Speaker 16: ten years. And that's where my head is focused. Obviously 1034 00:52:24,040 --> 00:52:27,640 Speaker 16: we needed things as a public company CEO, but I 1035 00:52:27,640 --> 00:52:28,760 Speaker 16: don't feel too much different. 1036 00:52:29,080 --> 00:52:32,960 Speaker 17: And sometimes these are marketing exercises. Arm is B to B, 1037 00:52:33,760 --> 00:52:36,520 Speaker 17: but do you think you've become more relevant? B to 1038 00:52:36,600 --> 00:52:39,080 Speaker 17: see Now you're saying how people had no idea all this, 1039 00:52:39,160 --> 00:52:41,839 Speaker 17: because largely people don't realize that every day they are 1040 00:52:41,840 --> 00:52:45,040 Speaker 17: interacting with your designs, with your blueprints. 1041 00:52:45,440 --> 00:52:48,280 Speaker 16: The people who need to know what we do do know. Obviously, 1042 00:52:48,360 --> 00:52:50,080 Speaker 16: just giving the fact that all the global partners that 1043 00:52:50,120 --> 00:52:52,759 Speaker 16: we work with going forward, how to market ourselves as 1044 00:52:52,760 --> 00:52:54,360 Speaker 16: a public company. That's one of the things as a 1045 00:52:54,360 --> 00:52:57,880 Speaker 16: public company CEO, I'll spend some time thinking about. But 1046 00:52:58,000 --> 00:53:00,440 Speaker 16: right now we're just kind of focused on today and 1047 00:53:00,440 --> 00:53:01,040 Speaker 16: what that means. 1048 00:53:01,360 --> 00:53:05,319 Speaker 17: And meanwhile, within there's exuberance of today. Yesterday we saw 1049 00:53:05,400 --> 00:53:09,240 Speaker 17: basically every key chief executive of an AI company, AI 1050 00:53:09,280 --> 00:53:14,400 Speaker 17: related company, indoors and a closed hearing with Senate Majority 1051 00:53:14,480 --> 00:53:17,279 Speaker 17: Leader Chuck Tchuma. Can you tell us about regulation? How 1052 00:53:17,320 --> 00:53:20,160 Speaker 17: do you see the landscape evolving to ensure that you 1053 00:53:20,200 --> 00:53:21,640 Speaker 17: can harness that AI moment. 1054 00:53:22,120 --> 00:53:25,080 Speaker 16: I think it is one of those areas that is 1055 00:53:25,120 --> 00:53:27,880 Speaker 16: an unknown moment. And I remember talking to an executive 1056 00:53:27,920 --> 00:53:30,680 Speaker 16: about the analogy or metaphor we used was when cars 1057 00:53:30,680 --> 00:53:33,960 Speaker 16: were invented, you didn't have driver's licenses, you didn't have lanes, 1058 00:53:34,000 --> 00:53:35,880 Speaker 16: you didn't have rules of the road. There was a 1059 00:53:35,920 --> 00:53:37,440 Speaker 16: lot of things that people had to figure out in 1060 00:53:37,520 --> 00:53:39,960 Speaker 16: terms of taking a device that was going to be 1061 00:53:40,080 --> 00:53:42,440 Speaker 16: very very productive but could be very dangerous in terms 1062 00:53:42,440 --> 00:53:45,400 Speaker 16: of automobile accidents. AI is a little bit of the 1063 00:53:45,400 --> 00:53:48,040 Speaker 16: same in the sense that we're now in a new paradigm. 1064 00:53:48,320 --> 00:53:51,399 Speaker 16: Were some rules and regulations and need to be figured out. 1065 00:53:51,440 --> 00:53:53,160 Speaker 16: And that's why I think you're seeing all this activity 1066 00:53:53,200 --> 00:53:55,239 Speaker 16: around that area. 1067 00:53:55,440 --> 00:53:59,400 Speaker 17: Is the US leading the charge and regulation is Europe? 1068 00:53:59,480 --> 00:54:00,960 Speaker 17: Is the UK was getting it right? 1069 00:54:01,000 --> 00:54:03,279 Speaker 16: From your perspective, I think all the governments are trying 1070 00:54:03,280 --> 00:54:05,319 Speaker 16: to figure it out. I know the EU has spent 1071 00:54:05,360 --> 00:54:07,040 Speaker 16: a lot of energy on this, as said the UK, 1072 00:54:07,239 --> 00:54:09,279 Speaker 16: so in terms of who's getting it right, I think 1073 00:54:09,320 --> 00:54:12,400 Speaker 16: it's still early days and everyone's really just trying to 1074 00:54:12,480 --> 00:54:16,640 Speaker 16: learn how technology and this new powerful algorithm will work together. 1075 00:54:17,120 --> 00:54:19,319 Speaker 15: Keep teaching us. Great to have some time with you. 1076 00:54:19,440 --> 00:54:20,040 Speaker 6: Thank you so much. 1077 00:54:20,080 --> 00:54:22,560 Speaker 17: Cool's the CEO of ARM the day they're listening. 1078 00:54:23,800 --> 00:54:26,880 Speaker 2: Thanks for listening to the Bloomberg Markets podcasts. You can 1079 00:54:26,920 --> 00:54:30,720 Speaker 2: subscribe and listen to interviews at Apple Podcasts or whatever 1080 00:54:30,800 --> 00:54:34,520 Speaker 2: podcast platform you prefer. I'm Matt Miller. I'm on Twitter 1081 00:54:34,719 --> 00:54:36,640 Speaker 2: at Matt Miller nineteen seventy three. 1082 00:54:37,120 --> 00:54:39,480 Speaker 3: And I'm Faull Sweeney. I'm on Twitter at pt Sweeney. 1083 00:54:39,600 --> 00:54:42,279 Speaker 1: Before the podcast, you can always catch us worldwide at 1084 00:54:42,280 --> 00:54:44,000 Speaker 1: Bloomberg Radio