1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm pim Fox. 2 00:00:08,760 --> 00:00:11,440 Speaker 1: Along with my co host Lisa A. Bramowitz. Each day 3 00:00:11,480 --> 00:00:15,000 Speaker 1: we bring you the most important, noteworthy, and useful interviews 4 00:00:15,040 --> 00:00:17,520 Speaker 1: for you and your money, whether you're at the grocery 5 00:00:17,560 --> 00:00:20,560 Speaker 1: store or the trading floor. Find the Bloomberg p m 6 00:00:20,680 --> 00:00:31,200 Speaker 1: L Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. 7 00:00:31,240 --> 00:00:33,800 Speaker 1: There's a story that caught my eye, how the American 8 00:00:33,920 --> 00:00:37,239 Speaker 1: Dream turned into greed and inequality. It was authored by 9 00:00:37,280 --> 00:00:40,720 Speaker 1: Alberto Gallo, portfolio manager and head of macro Strategies at 10 00:00:40,720 --> 00:00:45,840 Speaker 1: Algebra's Investments Limited in London, and he joins us now. Alberto, 11 00:00:45,960 --> 00:00:49,040 Speaker 1: I thought this was a fascinating piece that you authored. 12 00:00:49,240 --> 00:00:53,479 Speaker 1: The main point was that monetary policies have sort of 13 00:00:53,560 --> 00:00:57,720 Speaker 1: patched over a lot of sort of policy deficits and 14 00:00:57,880 --> 00:01:00,960 Speaker 1: have allowed the weakest links to just hack on credit 15 00:01:01,440 --> 00:01:05,679 Speaker 1: at the expense of actually improving their place in society. 16 00:01:05,720 --> 00:01:08,440 Speaker 1: Can you give us a sense of what has caused 17 00:01:08,480 --> 00:01:10,160 Speaker 1: us and what has allowed this and what the potential 18 00:01:10,160 --> 00:01:15,000 Speaker 1: consequences are. Good morning, Lisa. We have seen as investors 19 00:01:15,040 --> 00:01:17,600 Speaker 1: in the market every day every month in the last 20 00:01:17,680 --> 00:01:21,840 Speaker 1: nine years, markets rising, but our struggle is that this wealth, 21 00:01:21,959 --> 00:01:25,320 Speaker 1: this benefit hasn't reached the real economy. There's a big 22 00:01:25,360 --> 00:01:27,720 Speaker 1: divide between Wall Street and Main Street. And in the 23 00:01:27,880 --> 00:01:31,240 Speaker 1: end it's negative for everyone because we have seen that 24 00:01:31,360 --> 00:01:35,440 Speaker 1: countries become more and more split as they have and 25 00:01:35,480 --> 00:01:40,200 Speaker 1: they have not followed different political directions. Um. And also geographically, 26 00:01:40,240 --> 00:01:42,360 Speaker 1: you have areas which are very rich versus areas that 27 00:01:42,400 --> 00:01:44,840 Speaker 1: are very poor, like the West and East Coast versus 28 00:01:44,880 --> 00:01:47,360 Speaker 1: the Midwest, or in the in the UK, London versus 29 00:01:47,360 --> 00:01:50,760 Speaker 1: the rest of the country. So you have a very 30 00:01:50,880 --> 00:01:54,160 Speaker 1: usset rich but wage poor recovery. You have countries that 31 00:01:54,240 --> 00:01:57,200 Speaker 1: look very good in GDP terms, but look very bad 32 00:01:57,320 --> 00:02:01,480 Speaker 1: in the distribution of this wealth. The trickle down is 33 00:02:01,480 --> 00:02:06,960 Speaker 1: is some is an illusion, uh, and it generates political instability, Alberto, 34 00:02:07,080 --> 00:02:12,000 Speaker 1: Is this any different than it's always been? No, because 35 00:02:12,120 --> 00:02:16,480 Speaker 1: we are at the endpoint of a very long dead supercycle. 36 00:02:17,240 --> 00:02:20,960 Speaker 1: We started using credit to boost wealth with Nixon, with 37 00:02:21,120 --> 00:02:25,520 Speaker 1: Freddie May Fanny mac being created and privatized, with the 38 00:02:25,600 --> 00:02:29,640 Speaker 1: idea that you could replace productivity with a loan. The 39 00:02:29,680 --> 00:02:33,720 Speaker 1: American dream would be possible. You could go to university, 40 00:02:33,800 --> 00:02:36,520 Speaker 1: you can get a student loan, you could get a 41 00:02:36,560 --> 00:02:40,440 Speaker 1: mortgage just because Uncle Sam would help you to get that. 42 00:02:40,520 --> 00:02:43,440 Speaker 1: But then what happened is that all the tuition fees 43 00:02:43,480 --> 00:02:45,720 Speaker 1: started to go up, all the house prices started to 44 00:02:45,760 --> 00:02:48,120 Speaker 1: go up, and then you needed even more credit. So 45 00:02:48,200 --> 00:02:52,800 Speaker 1: they started really with the baby boomer generation, which and 46 00:02:52,919 --> 00:02:58,240 Speaker 1: with the government subsidy to private debt, which generated a 47 00:02:58,280 --> 00:03:01,280 Speaker 1: growth in debt to GDP private debt to GDP from 48 00:03:02,360 --> 00:03:08,280 Speaker 1: four So we used four dollars of debt private debt 49 00:03:08,520 --> 00:03:12,800 Speaker 1: to generate to to grow GDP GDP group, but private 50 00:03:12,840 --> 00:03:16,960 Speaker 1: debt outgrew GDP by four times between the sixties and 51 00:03:17,040 --> 00:03:19,760 Speaker 1: the two eight crisis. The US did it first, then 52 00:03:19,760 --> 00:03:22,280 Speaker 1: it was Europe done China in the last ten years. 53 00:03:22,840 --> 00:03:25,240 Speaker 1: The question is now you're at the end of the game. 54 00:03:25,480 --> 00:03:29,639 Speaker 1: Because interest rates are records low. You can't lower interest 55 00:03:29,680 --> 00:03:32,079 Speaker 1: rates even more so central banks have bought twenty three 56 00:03:32,280 --> 00:03:35,360 Speaker 1: dollars of assets around the world, but this is effectively 57 00:03:35,360 --> 00:03:39,240 Speaker 1: a debasement of money. Remember money is credit and credit 58 00:03:39,280 --> 00:03:42,720 Speaker 1: means faith in the system. When you depreciate money by 59 00:03:42,760 --> 00:03:46,080 Speaker 1: increasing the value of all the assets that money can buy, 60 00:03:46,360 --> 00:03:50,120 Speaker 1: you implicitly depreciate faith in the financial system, which is 61 00:03:50,160 --> 00:03:52,760 Speaker 1: why people today are looking at buying bitcoin and buying 62 00:03:52,800 --> 00:03:55,280 Speaker 1: gold or buying alternatives because they think that will be 63 00:03:55,320 --> 00:03:58,880 Speaker 1: even more q E and their money will be less 64 00:03:58,920 --> 00:04:02,760 Speaker 1: worth in the future. Uh. These are all shortcuts, um 65 00:04:02,960 --> 00:04:06,280 Speaker 1: for what politicians should have done, investing in productivity, investing 66 00:04:06,320 --> 00:04:10,440 Speaker 1: in education, giving everyone an opportunity, and we are I'm 67 00:04:10,800 --> 00:04:13,440 Speaker 1: sad today to see that politicians are cutting taxes for 68 00:04:13,480 --> 00:04:17,320 Speaker 1: the rich rather than investing in productivity. Alberto, is this 69 00:04:17,520 --> 00:04:20,760 Speaker 1: something you see as just a phenomenon of the last 70 00:04:20,839 --> 00:04:24,600 Speaker 1: fifty years, because you know, post a pre World War Two, 71 00:04:25,120 --> 00:04:28,800 Speaker 1: there were very few opportunities for financial assistance from the 72 00:04:28,880 --> 00:04:33,719 Speaker 1: government for just about anything. So I don't understand exactly 73 00:04:33,720 --> 00:04:37,080 Speaker 1: where this American dream that you're describing comes from, except 74 00:04:37,160 --> 00:04:40,120 Speaker 1: if you agree that it is an anomaly as a 75 00:04:40,200 --> 00:04:42,560 Speaker 1: result of the victory of the United States after the 76 00:04:42,600 --> 00:04:44,520 Speaker 1: Second World War, Because I mean, if you go back 77 00:04:44,560 --> 00:04:48,200 Speaker 1: a hundred years, hardly anybody owned their own home, and 78 00:04:48,240 --> 00:04:51,880 Speaker 1: now homeownership is let's say six However, we got here 79 00:04:52,200 --> 00:04:55,120 Speaker 1: and previously you had to put down a down payment 80 00:04:55,120 --> 00:04:59,320 Speaker 1: of about fifty So whatever the financial rigamarole, I'm wondering, 81 00:04:59,480 --> 00:05:03,280 Speaker 1: is it better now because we've appreciated people's lives and 82 00:05:03,320 --> 00:05:06,000 Speaker 1: maybe depreciated the value of money at the same time. 83 00:05:07,080 --> 00:05:11,200 Speaker 1: I in my view, we need to think about what's 84 00:05:11,240 --> 00:05:14,839 Speaker 1: the dream that we want? Is it about home ownership? 85 00:05:14,960 --> 00:05:18,360 Speaker 1: Does ome ownership make you happy? And today many young 86 00:05:18,360 --> 00:05:23,279 Speaker 1: people can't afford to buy a house um for example. Um, 87 00:05:23,320 --> 00:05:26,280 Speaker 1: but maybe we have substituted the idea of a dream, 88 00:05:26,360 --> 00:05:30,680 Speaker 1: the idea of home ownership, UM with with happiness. While 89 00:05:31,040 --> 00:05:34,560 Speaker 1: happiness is really linked to social mobility, to the chances 90 00:05:34,640 --> 00:05:37,799 Speaker 1: you have in life to end up in a better 91 00:05:37,960 --> 00:05:41,080 Speaker 1: position than your parents. And data today shows that social 92 00:05:41,080 --> 00:05:43,359 Speaker 1: mobility is actually lower in the US than it is 93 00:05:43,400 --> 00:05:46,400 Speaker 1: in Scandinavia for example, or in some other European countries 94 00:05:46,760 --> 00:05:51,120 Speaker 1: that have a much less dynamic economy. And more importantly, um, 95 00:05:51,160 --> 00:05:53,440 Speaker 1: even if you think that you may make it to 96 00:05:53,560 --> 00:05:57,240 Speaker 1: get to the one percent regardless of where you're born, Um, 97 00:05:57,400 --> 00:06:00,040 Speaker 1: do you want to be in a society where, in 98 00:06:00,200 --> 00:06:04,400 Speaker 1: particular the bottom cannot afford uh food? You know? Or 99 00:06:04,440 --> 00:06:07,960 Speaker 1: in the UK one third of children living poverty. Do 100 00:06:08,040 --> 00:06:10,880 Speaker 1: you want to be the successful person in a society 101 00:06:10,880 --> 00:06:15,360 Speaker 1: which is deeply divided and where nurses are on food banks? 102 00:06:16,080 --> 00:06:18,280 Speaker 1: So this this is I think the question we need 103 00:06:18,320 --> 00:06:21,120 Speaker 1: to ask all there too, just real quick, do you 104 00:06:21,120 --> 00:06:23,760 Speaker 1: think they were close to the breaking point at this 105 00:06:23,520 --> 00:06:28,200 Speaker 1: at this at this juncture. I think the question we 106 00:06:28,279 --> 00:06:33,000 Speaker 1: are increasing economists are asking themselves is about, you know, 107 00:06:33,040 --> 00:06:34,880 Speaker 1: some of the assumptions that we use in the last 108 00:06:34,920 --> 00:06:38,120 Speaker 1: twenty thirty years, and politicians, on the other hand, are 109 00:06:38,160 --> 00:06:43,880 Speaker 1: capitalizing on this inequality and this anger. Paradoxically, the irony 110 00:06:43,960 --> 00:06:45,360 Speaker 1: is that in the UK and the U S, which 111 00:06:45,400 --> 00:06:50,560 Speaker 1: are the most flexible economic systems, we have seen more 112 00:06:50,720 --> 00:06:54,839 Speaker 1: political protest vote, more anti establishment votes with you know, 113 00:06:54,839 --> 00:07:00,000 Speaker 1: the Trump administration and Brexit. But these um political moves, 114 00:07:00,160 --> 00:07:04,240 Speaker 1: the movements sometimes are associated with policies that are are 115 00:07:04,400 --> 00:07:19,800 Speaker 1: long term. We have been waiting for general electrics, grand 116 00:07:19,920 --> 00:07:23,960 Speaker 1: vision for how to proceed going forward after a pretty 117 00:07:24,000 --> 00:07:27,480 Speaker 1: horrible year. And here to explain to us, just to 118 00:07:27,480 --> 00:07:30,200 Speaker 1: give us a review of what this plan looks like, 119 00:07:30,280 --> 00:07:33,120 Speaker 1: is Brook Sutherland, an m and a columnist for Bloomberg 120 00:07:33,240 --> 00:07:35,560 Speaker 1: Goad Fly. Brooke, thank you so much for joining us. 121 00:07:35,560 --> 00:07:37,560 Speaker 1: I know today has been a crazy day for you. 122 00:07:37,680 --> 00:07:40,440 Speaker 1: The stock market is responding to ges plan, with the 123 00:07:40,520 --> 00:07:44,480 Speaker 1: shares down more than five cent. You had written long 124 00:07:44,520 --> 00:07:47,280 Speaker 1: ago GE needs to cut its dividend and it will. 125 00:07:48,080 --> 00:07:51,080 Speaker 1: Is this plan still not enough? It's not. And I 126 00:07:51,120 --> 00:07:54,320 Speaker 1: think you know, when we initially saw the dividend cut 127 00:07:54,400 --> 00:07:56,320 Speaker 1: this morning, I was thinking, Okay, well this is good. 128 00:07:56,320 --> 00:07:58,920 Speaker 1: They're being dramatic about it. It It was a fifty cut. 129 00:07:59,000 --> 00:08:01,280 Speaker 1: That was what people were facting and what they sort 130 00:08:01,320 --> 00:08:03,920 Speaker 1: of needed to do. And then they came out with 131 00:08:03,960 --> 00:08:07,120 Speaker 1: their slide deck with their numbers. And when you sort 132 00:08:07,160 --> 00:08:10,360 Speaker 1: of drill down into what those numbers are, I think 133 00:08:10,400 --> 00:08:12,280 Speaker 1: you have to wonder if they did go far enough 134 00:08:12,360 --> 00:08:14,120 Speaker 1: or if maybe they should have cut the divid in more. 135 00:08:14,680 --> 00:08:17,160 Speaker 1: And you know, I think that's raising questions for people. 136 00:08:17,200 --> 00:08:19,760 Speaker 1: I think the other thing is that Flannery promised this 137 00:08:20,280 --> 00:08:28,480 Speaker 1: comprehensive review and we didn't. Yeah. Sorry, um. And if 138 00:08:28,640 --> 00:08:30,560 Speaker 1: you know, he I believe him when he says he 139 00:08:30,640 --> 00:08:33,760 Speaker 1: really drilled down through these businesses and looked at you know, 140 00:08:33,920 --> 00:08:36,920 Speaker 1: units within businesses and everything. But what we got is 141 00:08:37,000 --> 00:08:40,480 Speaker 1: kind of I mean, like, you know, they're talking about 142 00:08:40,480 --> 00:08:43,720 Speaker 1: getting rid of the industrial solutions business, which is great 143 00:08:43,760 --> 00:08:46,560 Speaker 1: because they've already sold that, so then you know it's 144 00:08:46,600 --> 00:08:50,800 Speaker 1: not new. And they're talking about lighting and transportation and 145 00:08:50,840 --> 00:08:53,320 Speaker 1: these are all sort of ancillary businesses that people were 146 00:08:53,320 --> 00:08:58,320 Speaker 1: already expecting them to divest. There's no real new surprising, 147 00:08:58,480 --> 00:09:00,920 Speaker 1: you know, grab your attention at AGY here, and I 148 00:09:00,960 --> 00:09:03,240 Speaker 1: think you know what that means is that we're just 149 00:09:03,280 --> 00:09:06,680 Speaker 1: basically looking at a few years of a really tough 150 00:09:06,800 --> 00:09:10,520 Speaker 1: slog at GE. They're committed to staying in markets like power, 151 00:09:10,920 --> 00:09:12,760 Speaker 1: and power is not going to get better for at 152 00:09:12,840 --> 00:09:15,160 Speaker 1: least a few years, even by g s own admission, 153 00:09:15,320 --> 00:09:18,560 Speaker 1: and you know, some analysts worry it might not ever 154 00:09:18,640 --> 00:09:20,640 Speaker 1: get better. It might just sort of trend down to 155 00:09:20,760 --> 00:09:24,720 Speaker 1: this new normal of lower profitability. And I think you know, 156 00:09:24,800 --> 00:09:27,720 Speaker 1: if you were looking for radical change, this this is 157 00:09:27,760 --> 00:09:30,720 Speaker 1: not it. What about the sell off of the majority 158 00:09:30,800 --> 00:09:35,640 Speaker 1: stake in Baker Hughes. That's new ish, But gees prior 159 00:09:35,720 --> 00:09:38,400 Speaker 1: management had communicated that a spinoff of that or some 160 00:09:38,440 --> 00:09:42,240 Speaker 1: sort of investor was possible when they announced this deal, 161 00:09:42,320 --> 00:09:45,360 Speaker 1: and that's something that investors have been speculating about basically 162 00:09:45,400 --> 00:09:47,640 Speaker 1: ever since they decided that they were going to buy 163 00:09:47,640 --> 00:09:50,920 Speaker 1: the Baker Hughes business and emerge it in this combined entity. 164 00:09:51,040 --> 00:09:54,640 Speaker 1: So this is the first time ge has publicly said, yes, 165 00:09:54,679 --> 00:09:57,520 Speaker 1: we're looking at that, but they've sort of indicated it's possible, 166 00:09:57,559 --> 00:10:00,800 Speaker 1: and people have been expecting that to come, so, you know, 167 00:10:00,880 --> 00:10:03,880 Speaker 1: I think that is a good step, but that's also 168 00:10:03,920 --> 00:10:05,280 Speaker 1: not the kind of thing that they're going to be 169 00:10:05,320 --> 00:10:07,800 Speaker 1: able to do tomorrow. They own, you know, nearly six 170 00:10:08,480 --> 00:10:10,920 Speaker 1: of this business. If you sold that all right now, 171 00:10:10,920 --> 00:10:12,600 Speaker 1: you're not going to get a great price for it. 172 00:10:12,800 --> 00:10:14,320 Speaker 1: Um They're going to have to do it in stages. 173 00:10:14,360 --> 00:10:15,880 Speaker 1: They probably have to wait a while for some of 174 00:10:15,920 --> 00:10:20,280 Speaker 1: these commodity markets to recover. I'm wondering about whether they're 175 00:10:20,280 --> 00:10:23,040 Speaker 1: gonna have to cut the divid in more. I think 176 00:10:23,200 --> 00:10:25,000 Speaker 1: that that is sort of the question, and I you know, 177 00:10:25,040 --> 00:10:27,880 Speaker 1: I don't think we would expect anything, you know, in 178 00:10:27,920 --> 00:10:29,920 Speaker 1: the coming months or anything like that. I think a 179 00:10:29,960 --> 00:10:32,560 Speaker 1: lot of it's going to depend on how team plays out. 180 00:10:32,559 --> 00:10:35,240 Speaker 1: But when you look at those numbers, I think it 181 00:10:35,240 --> 00:10:37,360 Speaker 1: does make you nervous. And even after they cut it, 182 00:10:37,360 --> 00:10:39,600 Speaker 1: they're still going to have one of the highest dividend 183 00:10:39,600 --> 00:10:43,800 Speaker 1: payout ratios among high grade industrials. Talking about high grade, 184 00:10:44,480 --> 00:10:47,000 Speaker 1: I know that g E is on watch for downgrade, 185 00:10:47,040 --> 00:10:48,920 Speaker 1: and you know that I'm obsessed with bonds, so I 186 00:10:48,960 --> 00:10:52,240 Speaker 1: was looking at their von price action and in fact, 187 00:10:52,440 --> 00:10:54,840 Speaker 1: the market is treating them as though they have already 188 00:10:54,840 --> 00:10:58,680 Speaker 1: been downgraded to the lowest rung of investment grade. I 189 00:10:58,720 --> 00:11:01,440 Speaker 1: have to think that's also a headwind because that raises 190 00:11:01,440 --> 00:11:05,240 Speaker 1: their borrowing costs going forward. No, absolutely, and you know 191 00:11:05,280 --> 00:11:08,840 Speaker 1: they're borrowing about six billion to front pay their pension 192 00:11:09,160 --> 00:11:11,920 Speaker 1: um and you know, but you can't just keep going 193 00:11:12,120 --> 00:11:14,920 Speaker 1: to the vond market to keep your business going so 194 00:11:16,600 --> 00:11:20,560 Speaker 1: well fair enough, but um, yeah, you know. I I 195 00:11:20,679 --> 00:11:22,880 Speaker 1: just think that there was so much hype for this event, 196 00:11:22,920 --> 00:11:24,800 Speaker 1: and part of that is g s own fault. I mean, 197 00:11:24,800 --> 00:11:26,920 Speaker 1: the way that they set this up. This November date 198 00:11:26,920 --> 00:11:29,360 Speaker 1: has been on the calendar since September, and then we 199 00:11:29,400 --> 00:11:32,240 Speaker 1: had that horrible earnings report and they kept promising to wait, 200 00:11:32,240 --> 00:11:34,240 Speaker 1: wait with us until we get to November. We're gonna 201 00:11:34,280 --> 00:11:37,679 Speaker 1: tell you this grand plan. And it's basically a reiteration 202 00:11:37,920 --> 00:11:40,160 Speaker 1: with maybe a little bit more details here and there 203 00:11:40,160 --> 00:11:42,400 Speaker 1: of what they said on that third quarter earnings call. 204 00:11:42,760 --> 00:11:45,840 Speaker 1: And so you know, they sort of set themselves up 205 00:11:45,840 --> 00:11:48,199 Speaker 1: for this where they really sort of promised something grand 206 00:11:48,360 --> 00:11:51,160 Speaker 1: and this is not This is not it. I mean, 207 00:11:51,200 --> 00:11:53,200 Speaker 1: this is maybe the best that they can do, and 208 00:11:53,240 --> 00:11:56,120 Speaker 1: maybe this is the what they think is right, But 209 00:11:56,160 --> 00:11:57,640 Speaker 1: this is not the kind of thing that's going to 210 00:11:57,679 --> 00:12:00,840 Speaker 1: be a magic fix for g stock. Is there a 211 00:12:01,880 --> 00:12:05,120 Speaker 1: is there a thought you have about the compensation plan 212 00:12:05,240 --> 00:12:08,080 Speaker 1: that has been announced because they seem to at least 213 00:12:08,120 --> 00:12:10,120 Speaker 1: be putting their own money where their mouth is in 214 00:12:10,240 --> 00:12:14,240 Speaker 1: terms of compensation. Is going to be in stock? No 215 00:12:14,320 --> 00:12:17,280 Speaker 1: more of these long term performance awards, well, some of 216 00:12:17,280 --> 00:12:19,800 Speaker 1: it's going to be in stock, more of it than 217 00:12:19,840 --> 00:12:21,640 Speaker 1: it was before. I think, you know, that's certainly going 218 00:12:21,679 --> 00:12:24,199 Speaker 1: to be a good step. UM. A lot of investors 219 00:12:24,200 --> 00:12:26,960 Speaker 1: were looking at these big payouts that that former executives 220 00:12:26,960 --> 00:12:30,199 Speaker 1: got in cash at times when the company was struggling, 221 00:12:30,200 --> 00:12:34,120 Speaker 1: when you know, what's stock price was not delivering for investors. UM. 222 00:12:34,200 --> 00:12:36,480 Speaker 1: So I think that certainly was a watch item. I 223 00:12:36,520 --> 00:12:38,320 Speaker 1: think this is a good step. I do think you 224 00:12:38,360 --> 00:12:40,120 Speaker 1: have to wonder if down the road there's going to 225 00:12:40,160 --> 00:12:43,000 Speaker 1: be any sort of clawbacks of what was paid to 226 00:12:43,080 --> 00:12:48,120 Speaker 1: former executives UM and if that should be including perhaps 227 00:12:48,400 --> 00:12:51,000 Speaker 1: I mean, you know, I don't think anything has been 228 00:12:51,040 --> 00:12:53,640 Speaker 1: proposed yet, but I know this is something that investors 229 00:12:53,640 --> 00:12:56,120 Speaker 1: I've talked to are wondering about and whether there's any 230 00:12:56,160 --> 00:12:58,800 Speaker 1: grounds there. UM or you know, the head of the 231 00:12:58,840 --> 00:13:01,280 Speaker 1: power business, Steve Bowles. He ran that business for a 232 00:13:01,360 --> 00:13:05,160 Speaker 1: very long time, and John Flannery is basically saying it 233 00:13:05,240 --> 00:13:08,000 Speaker 1: was his fault. It was poor execution. You know, power 234 00:13:08,080 --> 00:13:11,240 Speaker 1: is a troubled market, but we were worse off than 235 00:13:11,240 --> 00:13:13,360 Speaker 1: other people in the power market because of the way 236 00:13:13,360 --> 00:13:16,200 Speaker 1: we handled that business. Well, investors seem to agree with you. 237 00:13:16,280 --> 00:13:19,160 Speaker 1: The shares of Gear down more than five percent right now. 238 00:13:19,280 --> 00:13:21,680 Speaker 1: Thanks very much for being with us. Brook Sutherland is 239 00:13:21,960 --> 00:13:25,600 Speaker 1: m and A. Thomas Bloomberg Gadfly. All things mergers and 240 00:13:25,679 --> 00:13:43,160 Speaker 1: acquisitions much appreciated. Not shopping on Ali Baba Group holding site, 241 00:13:43,280 --> 00:13:45,600 Speaker 1: well you were one of the few, not one of 242 00:13:45,640 --> 00:13:49,520 Speaker 1: the many. The site generated more than twenty five billion 243 00:13:49,600 --> 00:13:54,680 Speaker 1: dollars in sales in China's Singles Day, the perhaps largest 244 00:13:54,720 --> 00:13:56,920 Speaker 1: retail shopping day in the world. Here to tell us 245 00:13:56,920 --> 00:13:59,840 Speaker 1: more about it is Shura over Day. Our technology columnist 246 00:14:00,000 --> 00:14:03,200 Speaker 1: are Bloomberg gad Fly and you can follow Shira on 247 00:14:03,240 --> 00:14:06,320 Speaker 1: Twitter at Shira over Day. Of course, shar thanks for 248 00:14:06,360 --> 00:14:10,239 Speaker 1: coming into the studio. What is why is this so important? 249 00:14:11,040 --> 00:14:15,480 Speaker 1: So Ali Baba essentially created this fake shopping holiday which 250 00:14:15,480 --> 00:14:18,320 Speaker 1: they hold on November eleven every year, and it is 251 00:14:18,360 --> 00:14:22,760 Speaker 1: basically sort of a celebration of shopping and frankly, it's 252 00:14:22,800 --> 00:14:24,960 Speaker 1: a marketing event for Ali Blab, but it's a way 253 00:14:25,000 --> 00:14:28,160 Speaker 1: to draw attention to themselves from all across the globe 254 00:14:28,480 --> 00:14:32,920 Speaker 1: from these enormous sums of sales that they do every year. Yeah, well, 255 00:14:32,920 --> 00:14:34,840 Speaker 1: I mean they're not alone, right, because Amazon also has 256 00:14:34,880 --> 00:14:37,760 Speaker 1: Cyber Monday. I mean, why not create an artificial holiday 257 00:14:37,760 --> 00:14:40,360 Speaker 1: to to have people spend money on your site. The 258 00:14:40,400 --> 00:14:44,480 Speaker 1: fact though, that people spent twenty five point three billion 259 00:14:44,480 --> 00:14:46,920 Speaker 1: dollars in sales is remarkable now, I mean, can you 260 00:14:46,920 --> 00:14:48,880 Speaker 1: put this in a perspective and is this just sort 261 00:14:48,880 --> 00:14:51,440 Speaker 1: of a blow away as far as what people were expecting. 262 00:14:51,720 --> 00:14:54,400 Speaker 1: It is a staggering number. And we should remember that 263 00:14:54,960 --> 00:14:59,160 Speaker 1: China is the largest um market in the in the world, 264 00:14:59,360 --> 00:15:03,000 Speaker 1: both for or electronic commerce and for a number of 265 00:15:03,000 --> 00:15:05,080 Speaker 1: people on the internet, so the numbers in China are 266 00:15:05,080 --> 00:15:09,320 Speaker 1: always going to be big. But billion is roughly equivalent 267 00:15:09,360 --> 00:15:13,840 Speaker 1: to the total quarterly sales on eBay, so and that 268 00:15:13,880 --> 00:15:15,520 Speaker 1: was done in a single day, So it's a lot. 269 00:15:15,880 --> 00:15:19,680 Speaker 1: But it's also important to remember that Ali Baba, unlike Amazon, 270 00:15:19,760 --> 00:15:24,240 Speaker 1: to which it's frequently compared doesn't make money directly from 271 00:15:24,320 --> 00:15:27,000 Speaker 1: merchandise sales, or doesn't make the majority of its money 272 00:15:27,000 --> 00:15:30,560 Speaker 1: from merchandise sales. It makes money from the merchants who 273 00:15:30,640 --> 00:15:35,640 Speaker 1: advertise to make those sales on ali Baba. So the 274 00:15:35,760 --> 00:15:39,920 Speaker 1: actual total daily sales, even on a marketing day, are 275 00:15:40,000 --> 00:15:44,680 Speaker 1: not really that material to Ali Baba. Do they make 276 00:15:44,760 --> 00:15:47,840 Speaker 1: money in terms of margin on this kind of stuff? 277 00:15:47,840 --> 00:15:50,520 Speaker 1: I mean because that you can have a artificial shopping day, 278 00:15:50,560 --> 00:15:53,000 Speaker 1: cut the prices, you get great sales, and then you 279 00:15:53,040 --> 00:15:56,000 Speaker 1: go back to the other three something days of the 280 00:15:56,080 --> 00:15:58,400 Speaker 1: year and you realize, although you gotta make up for 281 00:15:58,440 --> 00:16:00,880 Speaker 1: that one bad day we had. Well, I think the 282 00:16:00,880 --> 00:16:04,120 Speaker 1: better question is do the merchants who sell their stuff 283 00:16:04,160 --> 00:16:06,360 Speaker 1: through ali Baba make money? And I don't know, and 284 00:16:06,400 --> 00:16:09,160 Speaker 1: I think it probably varies a lot by merchant um. Again, 285 00:16:09,240 --> 00:16:12,560 Speaker 1: because ali Baba is not selling products directly, it's more 286 00:16:12,560 --> 00:16:16,400 Speaker 1: of a middleman. For companies that are selling directly to consumers, 287 00:16:16,440 --> 00:16:19,040 Speaker 1: their sales tend to be pretty profitable because they're they're 288 00:16:19,120 --> 00:16:21,600 Speaker 1: essentially making money from advertising, which is a high margin 289 00:16:21,640 --> 00:16:25,080 Speaker 1: business for most digital media companies are digital advertising companies. 290 00:16:25,240 --> 00:16:27,960 Speaker 1: So Shara, you know me really well, and I imagine 291 00:16:27,960 --> 00:16:30,280 Speaker 1: you were expecting me to ask about bonds because Ali 292 00:16:30,360 --> 00:16:33,280 Speaker 1: Baba is selling some and the US asking me about 293 00:16:34,720 --> 00:16:37,040 Speaker 1: flow flow your mind. Um, but you know Ali Baba 294 00:16:37,120 --> 00:16:41,960 Speaker 1: selling seven billion dollars in US dollar denominated bonds pricing 295 00:16:42,000 --> 00:16:45,080 Speaker 1: at some point this week. This is the first sale 296 00:16:45,280 --> 00:16:48,840 Speaker 1: of the company in the U S Why they just 297 00:16:48,880 --> 00:16:51,280 Speaker 1: sold all this like material? They? I mean they why 298 00:16:51,280 --> 00:16:53,400 Speaker 1: do they need money? I mean, I think the answer 299 00:16:53,480 --> 00:16:56,400 Speaker 1: to any tech companies selling debt these days is because 300 00:16:56,440 --> 00:17:01,160 Speaker 1: they can. Um that we've seen the the last few years. Um. 301 00:17:01,320 --> 00:17:05,399 Speaker 1: Now seven the top seven companies in the public companies 302 00:17:05,440 --> 00:17:09,120 Speaker 1: in the world by stock market value or all tech companies, um. 303 00:17:09,359 --> 00:17:12,000 Speaker 1: And you know investors see that and are willing to 304 00:17:12,040 --> 00:17:15,960 Speaker 1: loan money to these companies because of their enormous size, profitability, 305 00:17:16,000 --> 00:17:18,800 Speaker 1: and market power. Right. But you know, if I could 306 00:17:18,800 --> 00:17:21,399 Speaker 1: borrow money at a four percent rate or four and 307 00:17:21,400 --> 00:17:23,720 Speaker 1: a half percent rate, unless I'm going to use it 308 00:17:23,800 --> 00:17:26,040 Speaker 1: for something, it's a drag, right, I mean, is it 309 00:17:26,200 --> 00:17:29,000 Speaker 1: going to be for refinancing debt? Is it that they're 310 00:17:29,000 --> 00:17:32,160 Speaker 1: going to build out operations in the US. Is there 311 00:17:32,200 --> 00:17:34,520 Speaker 1: a sense of what it's going to be going toward? Right, 312 00:17:34,560 --> 00:17:37,080 Speaker 1: whether it's true that Ali Baba does have debt that 313 00:17:37,160 --> 00:17:39,520 Speaker 1: they're trying to refinance, so certainly that's part of it, 314 00:17:39,560 --> 00:17:41,720 Speaker 1: and they weren't very explicit about what they will do 315 00:17:41,760 --> 00:17:43,840 Speaker 1: with the money. But it's also true that Ali Baba 316 00:17:43,960 --> 00:17:47,440 Speaker 1: has been an acquisitive company. They invest a lot, both 317 00:17:47,520 --> 00:17:50,400 Speaker 1: in startups and in other companies around the world, not 318 00:17:50,480 --> 00:17:53,000 Speaker 1: so much in the United States, but um certainly in 319 00:17:53,040 --> 00:17:55,679 Speaker 1: their home country and in places like the Middle East. 320 00:17:56,040 --> 00:17:59,520 Speaker 1: And this is a company that has global ambitions. Again, 321 00:17:59,560 --> 00:18:04,879 Speaker 1: maybe not US ambitions, but um global US ambitions. You know. 322 00:18:04,920 --> 00:18:08,280 Speaker 1: One of the things I noted about this particular Singles 323 00:18:08,359 --> 00:18:11,680 Speaker 1: Day is that Ali Baba has rolled out a kind 324 00:18:11,680 --> 00:18:16,720 Speaker 1: of artificial intelligence fashion aid as well as an artificial 325 00:18:16,800 --> 00:18:20,800 Speaker 1: reality game. So in a variety of restaurants, and I 326 00:18:20,840 --> 00:18:25,280 Speaker 1: believe in some select malls, you can go online, you 327 00:18:25,400 --> 00:18:29,560 Speaker 1: play an artificial reality game, you earn coupons that are 328 00:18:29,600 --> 00:18:34,360 Speaker 1: then valid for shopping on Ali Baba's site. I'm wondering 329 00:18:34,440 --> 00:18:37,760 Speaker 1: is that something of a strategy that could be adopted 330 00:18:37,800 --> 00:18:40,080 Speaker 1: in the United States. I mean, we don't see anything 331 00:18:40,160 --> 00:18:44,680 Speaker 1: like that, this merging of online shopping, but with online 332 00:18:44,720 --> 00:18:47,240 Speaker 1: game playing in the real world. So I think two things. 333 00:18:47,359 --> 00:18:51,679 Speaker 1: One is that artificial intelligence and virtual reality, these are 334 00:18:51,720 --> 00:18:54,639 Speaker 1: sort of buzzwords that every company is going to dabble 335 00:18:54,680 --> 00:18:57,840 Speaker 1: in UM and TBD whether that will be an effective 336 00:18:57,840 --> 00:19:02,080 Speaker 1: sales strategy. But the second point is that I think 337 00:19:02,359 --> 00:19:04,600 Speaker 1: ali Baba to the extent that we have not really 338 00:19:04,720 --> 00:19:08,200 Speaker 1: seen here in the US. They have been very savvy 339 00:19:08,240 --> 00:19:13,080 Speaker 1: about uniting online and physical commerce, and again in a 340 00:19:13,119 --> 00:19:15,199 Speaker 1: way that even a company like a smart company like 341 00:19:15,240 --> 00:19:18,240 Speaker 1: Amazon has not really done, including in groceries by the way, 342 00:19:18,320 --> 00:19:21,320 Speaker 1: where Ali Baba is trying to sort of do that 343 00:19:21,440 --> 00:19:24,200 Speaker 1: merging that Amazon is also trying to do a physical 344 00:19:24,200 --> 00:19:27,200 Speaker 1: grocery shopping and digital grocery shopping. Of course, ali Baba 345 00:19:27,240 --> 00:19:28,879 Speaker 1: also has the benefit of not having to deal with 346 00:19:29,000 --> 00:19:31,479 Speaker 1: different security and privacy rules, and they can use all 347 00:19:31,520 --> 00:19:36,440 Speaker 1: of their data to monopolize their client customer. The Chinese 348 00:19:36,440 --> 00:19:40,160 Speaker 1: technology giants have certain advantages that US tech giants don't have. True, 349 00:19:40,280 --> 00:19:43,040 Speaker 1: that's the diplomatic way of putting it. Shira Day, thank 350 00:19:43,040 --> 00:19:45,600 Speaker 1: you so much for joining us. As always, Shira Ovidate, 351 00:19:45,640 --> 00:19:49,520 Speaker 1: technology columnist for Bloomberg gad Flyer. Stuff is great. Read 352 00:19:49,520 --> 00:20:05,080 Speaker 1: it Bloomberg dot com, slash goad fly shares of Mattel 353 00:20:05,280 --> 00:20:09,280 Speaker 1: soaring up more than the stock of Hasbro, up about 354 00:20:09,280 --> 00:20:12,920 Speaker 1: six and a half percent. Will these two toymakers come together, Well, 355 00:20:13,000 --> 00:20:16,280 Speaker 1: let's bring in Sarah Halzac, our retail columnist our Bloomberg 356 00:20:16,320 --> 00:20:19,840 Speaker 1: gad Fly, and she joins us from our Bloomberg studios 357 00:20:19,920 --> 00:20:23,280 Speaker 1: in Washington, d C. Sarah, what can you tell us 358 00:20:23,280 --> 00:20:27,040 Speaker 1: about this potential merger? We're gonna see hot wheels driving 359 00:20:27,040 --> 00:20:30,240 Speaker 1: around the monopoly board soon. Yeah, I think there's a 360 00:20:30,240 --> 00:20:32,760 Speaker 1: good chance of it. And here's why. The toy industry 361 00:20:32,960 --> 00:20:35,440 Speaker 1: is really in a place of big change right now, 362 00:20:35,640 --> 00:20:38,440 Speaker 1: and I think Hasbro and Mattel could confront it better together. 363 00:20:38,840 --> 00:20:40,720 Speaker 1: So one thing is that these companies are having to 364 00:20:40,760 --> 00:20:43,879 Speaker 1: develop new core competencies. As we all know, play is 365 00:20:43,920 --> 00:20:48,119 Speaker 1: getting more digital. They can't just make molded plastic blocks anymore. Um. 366 00:20:48,280 --> 00:20:51,720 Speaker 1: They have to learn how to make YouTube videos, apps, 367 00:20:51,960 --> 00:20:54,360 Speaker 1: and even get onto the big screen, as Hasbro has 368 00:20:54,400 --> 00:20:56,879 Speaker 1: done with My Little Pony movie. So they have to 369 00:20:56,920 --> 00:20:58,560 Speaker 1: learn how to do new things and they can probably 370 00:20:58,560 --> 00:21:01,960 Speaker 1: do that better together. Well, I'm just wondering, Sarah, why 371 00:21:02,000 --> 00:21:06,040 Speaker 1: this didn't happen earlier, because the retail industry and even 372 00:21:06,080 --> 00:21:09,560 Speaker 1: the toy industry has been under pressure for a while. Yeah, 373 00:21:09,600 --> 00:21:11,920 Speaker 1: it's a good question, Um, but I think one thing 374 00:21:11,960 --> 00:21:14,840 Speaker 1: we can consider is how the toy industry in particular 375 00:21:14,880 --> 00:21:19,919 Speaker 1: has been looking, and in fact, were blockbuster years for 376 00:21:19,920 --> 00:21:22,600 Speaker 1: the industry. I think was its best year in over 377 00:21:22,640 --> 00:21:24,840 Speaker 1: a decade. And you had a number of different things 378 00:21:24,840 --> 00:21:27,760 Speaker 1: fueling that. It's a really strong year for movies. For example, 379 00:21:27,840 --> 00:21:30,560 Speaker 1: that was when Star Wars first came back after about 380 00:21:30,560 --> 00:21:33,879 Speaker 1: ten years of no new films. You had properties like shopkins, 381 00:21:33,960 --> 00:21:35,760 Speaker 1: You had all sorts of things that were sort of 382 00:21:35,960 --> 00:21:38,520 Speaker 1: a rising tide lifting all boats in the toy industry, 383 00:21:38,760 --> 00:21:41,600 Speaker 1: sort of making things look good and making tough decisions 384 00:21:41,600 --> 00:21:45,119 Speaker 1: like this look less urgent. Is this going. Is this 385 00:21:45,160 --> 00:21:50,120 Speaker 1: potential combination going to affect companies that the license their 386 00:21:50,160 --> 00:21:53,680 Speaker 1: products and their brands to the toy makers in order 387 00:21:53,720 --> 00:21:56,720 Speaker 1: to make their products, whether it is a Disney or 388 00:21:56,760 --> 00:22:00,680 Speaker 1: a movie maker. Yeah, I think that's still kind of 389 00:22:00,760 --> 00:22:04,200 Speaker 1: clarifying itself, to be honest, because, um, it is true 390 00:22:04,200 --> 00:22:06,760 Speaker 1: that they'll have some competing licenses. One will have a 391 00:22:06,760 --> 00:22:09,359 Speaker 1: license for d C comics, one will have a license 392 00:22:09,359 --> 00:22:13,040 Speaker 1: for Marvel comics, and sort of what challenges that presents 393 00:22:13,119 --> 00:22:14,960 Speaker 1: or what weakal issues that presents that they were to 394 00:22:15,000 --> 00:22:18,240 Speaker 1: get together, I think is still clarifying at this point. 395 00:22:18,600 --> 00:22:20,600 Speaker 1: Do you have a sense of whether the Toys r 396 00:22:20,640 --> 00:22:25,359 Speaker 1: US bankruptcy kind of pushed this into high gear. I 397 00:22:25,400 --> 00:22:27,760 Speaker 1: think it's fair to say that it probably did in 398 00:22:28,080 --> 00:22:30,720 Speaker 1: the sense that, you know, Mittel really took a bath 399 00:22:30,760 --> 00:22:34,720 Speaker 1: after its latest earnings report, um, when sales just plummeted, 400 00:22:34,760 --> 00:22:37,120 Speaker 1: and they attributed about half of that decline in North America. 401 00:22:37,160 --> 00:22:41,600 Speaker 1: Eleven percent of that eleven line was because of the 402 00:22:41,640 --> 00:22:44,520 Speaker 1: Toys r US bankruptcy, and uh, you know, Mitchel just 403 00:22:44,600 --> 00:22:47,080 Speaker 1: lost so much market value after that that I think 404 00:22:47,080 --> 00:22:50,600 Speaker 1: it suddenly became a much more attractive takeover target. What 405 00:22:50,680 --> 00:22:53,840 Speaker 1: are some of the potential obstacles from an antitrust perspective 406 00:22:53,840 --> 00:22:57,720 Speaker 1: other than those license deals? Yeah, simply just that, Um, 407 00:22:57,920 --> 00:23:01,200 Speaker 1: these companies are so huge, right Um, them and Lego 408 00:23:01,320 --> 00:23:04,400 Speaker 1: are clearly the titans of the toy industry. Uh. So 409 00:23:04,800 --> 00:23:07,479 Speaker 1: that's said, though, the toy industry is more fragmented than 410 00:23:07,520 --> 00:23:09,480 Speaker 1: we sometimes think, and I think even if you look 411 00:23:09,520 --> 00:23:11,480 Speaker 1: at what's going to be hot this holiday season, you 412 00:23:11,480 --> 00:23:13,840 Speaker 1: can see that so hatch moles are projected to be 413 00:23:13,880 --> 00:23:15,840 Speaker 1: a huge seller. Well, those are made by spin Master. 414 00:23:15,920 --> 00:23:19,200 Speaker 1: They're not made by Hasbro or Mattel. Fingerlings are flying 415 00:23:19,200 --> 00:23:22,200 Speaker 1: off shelves and around eBay for much higher prices. Those 416 00:23:22,240 --> 00:23:25,160 Speaker 1: are made by a small company called Wowie. So shopkins 417 00:23:25,160 --> 00:23:27,639 Speaker 1: are made by Moose Toys, a small company based in Australia. 418 00:23:27,720 --> 00:23:30,359 Speaker 1: So there definitely will be some hurdles there since it 419 00:23:30,400 --> 00:23:32,879 Speaker 1: has Brown Mattel are so large. But the market is 420 00:23:33,200 --> 00:23:35,359 Speaker 1: a bit more broken up than you might expect. I'm 421 00:23:35,359 --> 00:23:38,119 Speaker 1: feeling this pit of doom in my stomach because I 422 00:23:38,160 --> 00:23:40,000 Speaker 1: haven't heard of some of those things that I know 423 00:23:40,080 --> 00:23:42,840 Speaker 1: my children will be asking for them. So I'm concerned. 424 00:23:43,440 --> 00:23:47,840 Speaker 1: I'm looking at hate you don't you don't know hatchem 425 00:23:47,359 --> 00:23:50,960 Speaker 1: I like. I like giving them a brown, brown paper 426 00:23:50,960 --> 00:23:53,880 Speaker 1: bag and telling them to make a puppet. But just 427 00:23:53,880 --> 00:23:56,360 Speaker 1: just lastly, you know, I'm just wondering. You know, yes, 428 00:23:56,440 --> 00:23:58,760 Speaker 1: a combination makes sense given the pressures, but will this 429 00:23:58,920 --> 00:24:02,919 Speaker 1: materially change the dynamic at all? With the competent competition 430 00:24:02,960 --> 00:24:07,240 Speaker 1: from Amazon and other sources. It might give them more 431 00:24:08,040 --> 00:24:11,680 Speaker 1: power frankly in dealing with Amazon to you know, dictate 432 00:24:11,760 --> 00:24:13,679 Speaker 1: pricing and that kind of thing. So it could be 433 00:24:13,680 --> 00:24:15,680 Speaker 1: helpful in that way, and then I think the other 434 00:24:15,680 --> 00:24:17,320 Speaker 1: thing to think about is just what this does for 435 00:24:17,359 --> 00:24:20,920 Speaker 1: them in emerging markets. What we know is that the growth, 436 00:24:21,080 --> 00:24:22,879 Speaker 1: the majority of growth in the toy industry over the 437 00:24:22,880 --> 00:24:25,280 Speaker 1: next five years is absolutely going to come not from 438 00:24:25,280 --> 00:24:28,680 Speaker 1: North America but from emerging markets, and the power that 439 00:24:28,800 --> 00:24:31,399 Speaker 1: these companies combined would have in dealing with Ali Baba, 440 00:24:31,440 --> 00:24:34,160 Speaker 1: for example, might be helpful to them in their growth 441 00:24:34,160 --> 00:24:36,359 Speaker 1: mission as well. Sarah Hawzac, thank you so much for 442 00:24:36,440 --> 00:24:40,040 Speaker 1: joining us. Sarah Howzac is a retail columnist with Bloomberg Godfly, 443 00:24:40,560 --> 00:24:44,040 Speaker 1: and she joins us from our studio in Washington, d C. 444 00:24:44,320 --> 00:24:46,080 Speaker 1: Just to give you a sense of how the shares 445 00:24:46,080 --> 00:24:48,960 Speaker 1: are responding to this potential combination. Mattel shares up more 446 00:24:49,000 --> 00:24:52,399 Speaker 1: than twenty percent, Hasbro shares up more than six and 447 00:24:52,400 --> 00:24:55,920 Speaker 1: a half percent, So certainly it's being cheered on the street. 448 00:24:56,040 --> 00:24:58,720 Speaker 1: It's still unclear to me whether they could compete with 449 00:24:58,720 --> 00:25:02,320 Speaker 1: an Amazon or even some local kinds of alliances with 450 00:25:02,400 --> 00:25:05,480 Speaker 1: some of these upstart uh you know, toymakers that have 451 00:25:05,600 --> 00:25:09,719 Speaker 1: less overhead and just saying wow, we fingerlings and hatch themles. 452 00:25:09,800 --> 00:25:14,159 Speaker 1: You're gonna hear a lot about Thanks for listening. To 453 00:25:14,200 --> 00:25:17,080 Speaker 1: the Bloomberg P and L podcast. You can subscribe and 454 00:25:17,119 --> 00:25:21,120 Speaker 1: listen to interviews at Apple Podcasts, SoundCloud, or whatever podcast 455 00:25:21,119 --> 00:25:24,640 Speaker 1: platform you prefer. I'm pim Fox. I'm on Twitter at 456 00:25:24,800 --> 00:25:28,160 Speaker 1: pim Fox. I'm on Twitter at Lisa Abramo. It's one 457 00:25:28,400 --> 00:25:31,119 Speaker 1: before the podcast. You can always catch us worldwide on 458 00:25:31,160 --> 00:25:32,000 Speaker 1: Bloomberg Radio