1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,480 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,720 Speaker 1: at Bloomberg dot com slash podcast. One point nine trillion 7 00:00:23,760 --> 00:00:27,360 Speaker 1: dollar fiscal stimulus about to be signed into law tomorrow 8 00:00:27,400 --> 00:00:31,320 Speaker 1: by President Biden. Seems to be a lot of things 9 00:00:31,360 --> 00:00:33,400 Speaker 1: in this package for a lot of folks. Let's break 10 00:00:33,400 --> 00:00:35,960 Speaker 1: it down. We can do that with Michael zzas Uh. 11 00:00:35,960 --> 00:00:39,400 Speaker 1: He is the chief US public Policy and municipal strategists 12 00:00:39,440 --> 00:00:42,000 Speaker 1: for Morgan Stanley based in New York. Michael, thanks so 13 00:00:42,120 --> 00:00:43,959 Speaker 1: much for joining us here. I want to look at 14 00:00:44,040 --> 00:00:47,479 Speaker 1: initially the amount of money that is going to states 15 00:00:47,520 --> 00:00:51,760 Speaker 1: and local municipalities. Is it enough and how do you 16 00:00:51,800 --> 00:00:55,920 Speaker 1: think it will be utilized? Yeah, I think it's enough. 17 00:00:56,040 --> 00:00:59,440 Speaker 1: I think it's enough. We had estimated back in May 18 00:00:59,640 --> 00:01:04,000 Speaker 1: that state and local governments would be short of their 19 00:01:04,080 --> 00:01:07,119 Speaker 1: budget estimates through the end of calendar one by about 20 00:01:07,120 --> 00:01:09,920 Speaker 1: two hundred and seventy billion dollars. This is three fifty 21 00:01:09,920 --> 00:01:12,840 Speaker 1: billion dollars in our two hundred and seventy billion dollars 22 00:01:13,040 --> 00:01:16,880 Speaker 1: probably now is actually too high of an estimate because 23 00:01:17,040 --> 00:01:19,920 Speaker 1: we we were looking at an SMP level that was 24 00:01:20,000 --> 00:01:24,040 Speaker 1: lower back than UM. We did not account for unemployment 25 00:01:24,080 --> 00:01:28,039 Speaker 1: being skewed towards lower income workers so that the tax 26 00:01:28,080 --> 00:01:30,600 Speaker 1: base didn't suffer nearly as much as we thought. So 27 00:01:30,640 --> 00:01:33,759 Speaker 1: three d fifty billion we think will will relatively well 28 00:01:33,760 --> 00:01:37,679 Speaker 1: cover the revenue that state and local officials UM expect 29 00:01:37,720 --> 00:01:40,200 Speaker 1: should have been there. So what does that money get 30 00:01:40,280 --> 00:01:42,240 Speaker 1: used for at the end of the day, Well, you know, 31 00:01:42,360 --> 00:01:45,360 Speaker 1: it will depend on a state by state basis, but 32 00:01:45,800 --> 00:01:51,240 Speaker 1: ultimately it replaces lost revenue from lost economic activity. UH. 33 00:01:51,240 --> 00:01:56,640 Speaker 1: Probably enables operating budgets to stay intact, UM capital budgets 34 00:01:56,680 --> 00:02:00,800 Speaker 1: to continue to flow UH. And it basically just it 35 00:02:00,920 --> 00:02:04,600 Speaker 1: ensures that thing governments can undertake the normal amount of 36 00:02:04,600 --> 00:02:08,600 Speaker 1: economic activity they otherwise would have. So does it change 37 00:02:09,639 --> 00:02:14,120 Speaker 1: UM issuance plans? Were they changed before the bill came along? 38 00:02:14,200 --> 00:02:20,079 Speaker 1: Does it change rates? Has it already been priced in well? 39 00:02:20,680 --> 00:02:22,800 Speaker 1: With regard to the MUNI market, I mean, the muni 40 00:02:22,880 --> 00:02:28,440 Speaker 1: market is pricing in a way that I think reflects 41 00:02:28,480 --> 00:02:31,200 Speaker 1: a substantial amount of optimism, and I think well placed 42 00:02:31,240 --> 00:02:35,400 Speaker 1: optimism about the strength of credit quality, which is to 43 00:02:35,400 --> 00:02:39,000 Speaker 1: say that if you're providing three fifty billion dollars of 44 00:02:39,520 --> 00:02:42,240 Speaker 1: grant money when the amount of revenue LASS was going 45 00:02:42,280 --> 00:02:46,160 Speaker 1: to be less than that, then the credit quality of 46 00:02:46,200 --> 00:02:48,600 Speaker 1: the asset class is more or less what it was 47 00:02:48,680 --> 00:02:51,000 Speaker 1: before the pandemic, which is not to say it didn't 48 00:02:51,040 --> 00:02:56,320 Speaker 1: have its flaws, but UM certainly UM not nearly experienced 49 00:02:56,320 --> 00:02:59,520 Speaker 1: the weakness that it was perceived too. So I don't 50 00:02:59,560 --> 00:03:02,919 Speaker 1: think this as an impact on yields per se that 51 00:03:03,000 --> 00:03:06,160 Speaker 1: the muni yields will go down relative to treasury yields, 52 00:03:06,200 --> 00:03:10,360 Speaker 1: but it sort of justifies where market pricing is with 53 00:03:10,400 --> 00:03:13,680 Speaker 1: regard to supply. I think potentially a transform supply, Whereas 54 00:03:13,760 --> 00:03:16,839 Speaker 1: without this aid you might have looked at municipalities doing 55 00:03:16,919 --> 00:03:20,880 Speaker 1: some refunding activity to create budget savings. Now they're probably 56 00:03:20,919 --> 00:03:23,760 Speaker 1: more likely to be aggressive in their capital plans and 57 00:03:23,760 --> 00:03:27,399 Speaker 1: and borrow money to UM match the money they would 58 00:03:27,400 --> 00:03:29,040 Speaker 1: have used on I pay as you go basis to 59 00:03:29,080 --> 00:03:33,440 Speaker 1: pay for roads and bridges, etcetera. Alright, so, Michael, this 60 00:03:34,760 --> 00:03:40,360 Speaker 1: UH bill passed strictly along partisan lines. Party lines. That 61 00:03:40,440 --> 00:03:43,800 Speaker 1: does not bode well. I wouldn't think for the next 62 00:03:43,920 --> 00:03:47,600 Speaker 1: round of stimiles that presumably would have some bigger ticket items, 63 00:03:47,640 --> 00:03:51,000 Speaker 1: some you know, some infrastructure. How are you guys thinking 64 00:03:51,040 --> 00:03:54,360 Speaker 1: about that? Well, I think the way that I think 65 00:03:54,360 --> 00:03:57,960 Speaker 1: you're right that there there's nothing in this process that 66 00:03:58,120 --> 00:04:03,080 Speaker 1: suggests that infrastructure can be done in a bipartisan way, 67 00:04:03,080 --> 00:04:06,040 Speaker 1: at least easily, and so I think that sets up 68 00:04:06,040 --> 00:04:10,920 Speaker 1: a process that is long and arduous, uh and probably 69 00:04:10,920 --> 00:04:13,560 Speaker 1: one that we think will ultimately be a bill that 70 00:04:13,600 --> 00:04:16,880 Speaker 1: has to be mostly deficit financed. So if you're going 71 00:04:17,000 --> 00:04:22,320 Speaker 1: to have an infrastructure bill that approaches the ambition of 72 00:04:22,320 --> 00:04:24,960 Speaker 1: what the Biden administration has laid out, there are just 73 00:04:25,080 --> 00:04:28,480 Speaker 1: aspects of that bill are probably nonstarters for Republicans, starting 74 00:04:28,480 --> 00:04:31,360 Speaker 1: with some of the tax increases uh that they want 75 00:04:31,440 --> 00:04:33,840 Speaker 1: to be adjacent to it, as well as many of 76 00:04:33,839 --> 00:04:36,400 Speaker 1: the environmental standards that they want to be adjacent to it. 77 00:04:36,640 --> 00:04:38,560 Speaker 1: So if the Democrats have to go it alone, then 78 00:04:38,640 --> 00:04:41,719 Speaker 1: they're probably going to follow this budget reconciliation process. Again, 79 00:04:42,640 --> 00:04:47,120 Speaker 1: that probably means that you're looking at October passage the earliest, 80 00:04:47,240 --> 00:04:49,920 Speaker 1: because that has to the next fiscal year, and then 81 00:04:50,040 --> 00:04:52,359 Speaker 1: the Party amongst themselves, has to develop a kind of 82 00:04:52,480 --> 00:04:56,440 Speaker 1: unanimous view on the nitty gritty of what's in the 83 00:04:56,480 --> 00:04:59,320 Speaker 1: bill in terms of labor standards, environmental standards, not just 84 00:04:59,360 --> 00:05:01,719 Speaker 1: how much more they want to spend on roads and bridges. 85 00:05:02,040 --> 00:05:05,919 Speaker 1: It's a complicated negotiation, it will take much of the year. Ultimately, 86 00:05:05,960 --> 00:05:08,599 Speaker 1: we think it will get over the finish line, But 87 00:05:08,960 --> 00:05:11,320 Speaker 1: this one is a much harder lift than the COVID 88 00:05:11,360 --> 00:05:14,000 Speaker 1: relief package. Do you think it'll be more than four 89 00:05:14,040 --> 00:05:18,640 Speaker 1: trillion dollar bill coming over the finish line? That's not 90 00:05:18,680 --> 00:05:21,360 Speaker 1: in our base case, And I think it's important to 91 00:05:21,360 --> 00:05:25,919 Speaker 1: defind time frames here too, So yeah, I mean the 92 00:05:25,960 --> 00:05:28,600 Speaker 1: COVID relief bill is one point nine trillion. The CBO 93 00:05:28,680 --> 00:05:31,000 Speaker 1: says one point two will be spent this calendar year. 94 00:05:32,080 --> 00:05:34,919 Speaker 1: The numbers quoted on infrastructure bills, they tend to be 95 00:05:34,920 --> 00:05:39,280 Speaker 1: either five or ten year numbers. So um, in our view, yeah, 96 00:05:39,360 --> 00:05:42,599 Speaker 1: you could look at a multi trillion dollar number over 97 00:05:42,640 --> 00:05:46,520 Speaker 1: ten years. Um, it's entirely possible that the first proposals 98 00:05:46,520 --> 00:05:48,159 Speaker 1: are five year numbers. So there's a little bit of 99 00:05:48,160 --> 00:05:50,839 Speaker 1: apples and orange comparisons here. At the end of the day, 100 00:05:50,880 --> 00:05:53,560 Speaker 1: we think you'll see something that is at least one 101 00:05:53,600 --> 00:05:56,440 Speaker 1: and a half trillion dollars spread out over five years 102 00:05:56,520 --> 00:05:59,240 Speaker 1: or more. What else are you looking for? What else 103 00:05:59,240 --> 00:06:00,640 Speaker 1: are you guys looking at? What are you working on 104 00:06:00,760 --> 00:06:04,200 Speaker 1: right now that we should be focusing on. Well, I 105 00:06:04,240 --> 00:06:08,080 Speaker 1: think the the tax debate inside of this legislative debate 106 00:06:08,839 --> 00:06:13,560 Speaker 1: on infrastructure is critical. We're assuming at the end of 107 00:06:13,560 --> 00:06:16,960 Speaker 1: the day that there's only fifty Democratic Senate votes for 108 00:06:17,240 --> 00:06:20,480 Speaker 1: about five to six hundred billion dollars worth of tax 109 00:06:20,520 --> 00:06:23,680 Speaker 1: increases over a ten year period, and that's out of 110 00:06:23,680 --> 00:06:27,160 Speaker 1: a menu of over three trillion dollars of tax increases 111 00:06:27,200 --> 00:06:30,719 Speaker 1: that the by administrations proposed. But but we would expect 112 00:06:31,120 --> 00:06:34,240 Speaker 1: that the initial proposal here will probably include almost all 113 00:06:34,240 --> 00:06:36,880 Speaker 1: of those tax increases. So there's there's a It's it's 114 00:06:36,920 --> 00:06:38,800 Speaker 1: important to understanding diffence between the two because that could 115 00:06:38,800 --> 00:06:41,400 Speaker 1: affect markets in the short term. Alright, tough to do 116 00:06:41,440 --> 00:06:45,120 Speaker 1: a bipartisan bill on big tax increases. Americans much prefer 117 00:06:45,920 --> 00:06:48,839 Speaker 1: free money. Michael zesus, Thanks very much, Cheek us public 118 00:06:48,880 --> 00:06:56,520 Speaker 1: policy and municipal strategists at Morgan Stanley. Well, it's Thursday, 119 00:06:56,560 --> 00:06:59,800 Speaker 1: so we had another jobless claims number hit today. The 120 00:07:00,080 --> 00:07:02,720 Speaker 1: news is it was the lowest since November. Came in 121 00:07:02,720 --> 00:07:04,400 Speaker 1: a little bit better and expected. It's a hundred and 122 00:07:04,400 --> 00:07:07,960 Speaker 1: twelve thousand, But that's still a stubbornly, stubbornly high number. 123 00:07:08,000 --> 00:07:11,960 Speaker 1: And it's against it that backdrop that President Biden will 124 00:07:12,000 --> 00:07:16,360 Speaker 1: sign tomorrow. I believe the UH one point nine trillion 125 00:07:16,360 --> 00:07:20,000 Speaker 1: dollar fiscal stimulus UH plans. Let's bring that all together. 126 00:07:20,080 --> 00:07:22,720 Speaker 1: We can do that with Chris Lewis, a senior fellow 127 00:07:22,760 --> 00:07:26,679 Speaker 1: at the University of Virginia Miller Center. UH. He's former 128 00:07:26,720 --> 00:07:29,720 Speaker 1: Deputy Secretary of Labor under President Obama, joining us on 129 00:07:29,760 --> 00:07:33,080 Speaker 1: the phone from Charlottesville. Chris, thanks so much for joining 130 00:07:33,160 --> 00:07:37,200 Speaker 1: us here. Let's start with the jobs claims. I love 131 00:07:37,240 --> 00:07:40,080 Speaker 1: to get your thoughts, as a former deputy secretary of 132 00:07:40,200 --> 00:07:45,720 Speaker 1: labor about how you view this labor market today. Are 133 00:07:45,760 --> 00:07:48,200 Speaker 1: you concerned about some of this permanent unemployment that we 134 00:07:48,280 --> 00:07:51,080 Speaker 1: may be seeing out there? Yeah, you know, I really am. 135 00:07:51,240 --> 00:07:54,280 Speaker 1: I mean, we have with these weekly numbers. This is 136 00:07:54,320 --> 00:07:57,560 Speaker 1: now the fifty one week in a row that has 137 00:07:57,600 --> 00:08:00,640 Speaker 1: exceeded the worst of the Great Recession. So while the 138 00:08:00,680 --> 00:08:03,880 Speaker 1: numbers are kind of inching down very slowly, there's still 139 00:08:03,920 --> 00:08:07,000 Speaker 1: at a really elevated level. And I think what I'm 140 00:08:07,040 --> 00:08:09,840 Speaker 1: as concerned about is, you know, the four million people 141 00:08:10,760 --> 00:08:16,120 Speaker 1: who UH who have lost their jobs permanently, about six 142 00:08:16,200 --> 00:08:20,040 Speaker 1: million people who are working part time but would rather 143 00:08:20,080 --> 00:08:23,640 Speaker 1: be working full time. We've got a long term unemployment 144 00:08:23,800 --> 00:08:27,280 Speaker 1: at rates that um, you know, we haven't seen really 145 00:08:27,320 --> 00:08:29,240 Speaker 1: since the Great Recession at this point. And what we 146 00:08:29,320 --> 00:08:32,480 Speaker 1: know is that the longer people are out of work, 147 00:08:32,960 --> 00:08:35,320 Speaker 1: the harder is to get them back. And I think 148 00:08:35,320 --> 00:08:38,079 Speaker 1: what we've also seen over the pandemic is a lot 149 00:08:38,120 --> 00:08:41,360 Speaker 1: of the broader changes in the economy, like the shift 150 00:08:41,400 --> 00:08:44,840 Speaker 1: to online retail, have been accelerated, so a lot of 151 00:08:44,840 --> 00:08:47,560 Speaker 1: the jobs that people have left probably aren't there anymore. 152 00:08:47,640 --> 00:08:52,640 Speaker 1: Right now. You know, the uh the automation UM, which 153 00:08:52,679 --> 00:08:55,240 Speaker 1: isn't the same as on shifting to online, but it's 154 00:08:55,280 --> 00:08:59,840 Speaker 1: similar UM. And the shift of manufacturing label to four 155 00:09:00,080 --> 00:09:03,880 Speaker 1: labor to foreign insurers was something that Donald Trump was 156 00:09:04,800 --> 00:09:07,400 Speaker 1: working to turn around in some ways. He wanted to 157 00:09:07,440 --> 00:09:10,240 Speaker 1: bring jobs back to America. President Biden thinks he can 158 00:09:10,240 --> 00:09:12,080 Speaker 1: do a better job of it. Do you see that too, 159 00:09:13,280 --> 00:09:15,400 Speaker 1: You know, Look, I I am confident that the plan 160 00:09:15,480 --> 00:09:17,640 Speaker 1: they're going to put forward will do that, and I 161 00:09:17,679 --> 00:09:20,360 Speaker 1: am hopeful that if we can get an infrastructure bill, 162 00:09:20,400 --> 00:09:22,840 Speaker 1: a real infrastructure bill, that can bring back some of 163 00:09:22,840 --> 00:09:25,080 Speaker 1: those jobs as well. But you know, as you said, 164 00:09:25,080 --> 00:09:28,800 Speaker 1: they're broader globalization trends that make this very challenging, you know, 165 00:09:28,880 --> 00:09:30,680 Speaker 1: And so I think we need to understand that the 166 00:09:30,720 --> 00:09:34,600 Speaker 1: manufacturing jobs, many of them that have gone overseas, probably 167 00:09:34,760 --> 00:09:37,360 Speaker 1: aren't going back because labor costs are just too high 168 00:09:37,400 --> 00:09:39,920 Speaker 1: in the United States. But when you move to things 169 00:09:39,960 --> 00:09:42,920 Speaker 1: like advanced manufacturing, that is a place that we can 170 00:09:43,240 --> 00:09:45,719 Speaker 1: continue to dominate here in the United States. But it's 171 00:09:45,720 --> 00:09:48,960 Speaker 1: going to require a level of training of workers that 172 00:09:49,000 --> 00:09:52,160 Speaker 1: exceeds what we have right now. Chris, you know, we've 173 00:09:52,200 --> 00:09:56,160 Speaker 1: talked about the uh, the bigger fiscal stimulus plan, maybe 174 00:09:56,200 --> 00:10:00,240 Speaker 1: one that focuses on infrastructure. Um that see used to 175 00:10:00,240 --> 00:10:03,240 Speaker 1: be something that is on the ad Biden's plate right now. 176 00:10:04,000 --> 00:10:07,920 Speaker 1: Are you concerned that there's just been no bipartisan support 177 00:10:07,960 --> 00:10:11,120 Speaker 1: of the this one point nine trained dollar plan that 178 00:10:11,520 --> 00:10:13,640 Speaker 1: really would call in the question ability to do anything 179 00:10:13,800 --> 00:10:16,680 Speaker 1: bigger down the line. You know, I am concerned, and 180 00:10:16,720 --> 00:10:19,400 Speaker 1: I think in part because look, we can we can, 181 00:10:19,480 --> 00:10:21,920 Speaker 1: you know, quibble about some of the things in the bill, 182 00:10:22,280 --> 00:10:24,840 Speaker 1: but there's so many other things that are just wildly popular. 183 00:10:24,920 --> 00:10:28,200 Speaker 1: Leaving aside the stimulus checks, uh, you know, the extension 184 00:10:28,240 --> 00:10:31,760 Speaker 1: of unemployment benefits, which really needs to happen otherwise eleven 185 00:10:31,800 --> 00:10:34,319 Speaker 1: million people are going to start to lose uh their 186 00:10:34,400 --> 00:10:37,520 Speaker 1: check starting next week. But it's the rental assistance, it's 187 00:10:37,520 --> 00:10:41,720 Speaker 1: the assistance to small businesses, UM money that goes for 188 00:10:41,840 --> 00:10:44,679 Speaker 1: vaccines and opening school So all of those things there 189 00:10:44,720 --> 00:10:47,480 Speaker 1: should be consensus on. And I think it's an unfortunate 190 00:10:47,520 --> 00:10:51,200 Speaker 1: sign of where partisanship is in Washington right now. That 191 00:10:51,320 --> 00:10:54,199 Speaker 1: being said, look, we've talked now for for the entire 192 00:10:54,240 --> 00:10:57,480 Speaker 1: Trump administration and now the beginning of the Biden administration, 193 00:10:57,840 --> 00:10:59,800 Speaker 1: is that maybe the sweet spot when it comes to 194 00:10:59,800 --> 00:11:03,720 Speaker 1: buy parsonship is infrastructural. So we'll have to see whether 195 00:11:03,760 --> 00:11:06,600 Speaker 1: that happens or not. How do you think Republicans on 196 00:11:06,679 --> 00:11:12,600 Speaker 1: Capitol Hill are going to UM are going to react 197 00:11:12,679 --> 00:11:15,679 Speaker 1: to the infrastructure bill because you know, they didn't vote 198 00:11:15,679 --> 00:11:19,400 Speaker 1: for this bill, but the Republican base was overwhelmingly in 199 00:11:19,480 --> 00:11:22,880 Speaker 1: favor of it. So even though none of the representatives 200 00:11:23,240 --> 00:11:25,520 Speaker 1: UM we're able to cast a vote for it, the 201 00:11:25,559 --> 00:11:29,880 Speaker 1: people they represent want it past. Yeah, and I think 202 00:11:29,920 --> 00:11:32,640 Speaker 1: that's obviously one of the contradictions here right now. I mean, 203 00:11:32,679 --> 00:11:35,559 Speaker 1: I think with infrastructure, as with everything else, the question 204 00:11:35,679 --> 00:11:37,840 Speaker 1: is going to be how to pay for it. We've 205 00:11:37,920 --> 00:11:40,840 Speaker 1: kind of tossed the settle depth sit out the window 206 00:11:41,040 --> 00:11:43,439 Speaker 1: over the last couple of administrations. You're not an M 207 00:11:43,559 --> 00:11:47,640 Speaker 1: M T guy. You don't like the magic money tree. Look, 208 00:11:47,679 --> 00:11:49,920 Speaker 1: I'm not one of these people who think that inflation 209 00:11:49,960 --> 00:11:52,000 Speaker 1: is going to be a problem. But uh, you know, 210 00:11:52,080 --> 00:11:55,800 Speaker 1: once we got that cut done, we've kind of stopped 211 00:11:55,800 --> 00:11:59,080 Speaker 1: talking about the debt of that being said. Look, you know, 212 00:11:59,280 --> 00:12:02,600 Speaker 1: how you pay for infrastructure will be a critical issue. 213 00:12:02,600 --> 00:12:05,319 Speaker 1: And obviously one of the things that the President President 214 00:12:05,320 --> 00:12:08,280 Speaker 1: Biden has talked about is rolling back some of those 215 00:12:08,320 --> 00:12:11,840 Speaker 1: two tax cuts. So that will be an area where 216 00:12:11,840 --> 00:12:14,200 Speaker 1: I think Republicans are gonna have a hard time swallowing that. 217 00:12:15,000 --> 00:12:16,480 Speaker 1: But I do think when it comes to you know, 218 00:12:16,520 --> 00:12:20,200 Speaker 1: the nuts and bolts of infrastructure like roads and bridges 219 00:12:20,240 --> 00:12:24,120 Speaker 1: and airports, Uh, there is broad agreement. So hopefully we 220 00:12:24,160 --> 00:12:28,400 Speaker 1: will come to that, Chris, we hope. Look, Chris lou 221 00:12:28,480 --> 00:12:31,800 Speaker 1: from the University of Virginia went to Harvard with UM. 222 00:12:32,040 --> 00:12:35,160 Speaker 1: Barack Obama worked at Sidney with the Obamas, went to 223 00:12:35,200 --> 00:12:39,000 Speaker 1: Washington with Obama, and we we're guessing that the Biden 224 00:12:39,040 --> 00:12:42,440 Speaker 1: team brings you back to d C very quickly. So 225 00:12:42,480 --> 00:12:44,360 Speaker 1: please come back and talk to us after you get 226 00:12:44,440 --> 00:12:47,720 Speaker 1: hired by the Biden administration. Chris Leu there a senior 227 00:12:47,760 --> 00:12:53,480 Speaker 1: fellow at the University of Virginia Miller Center. Now I 228 00:12:53,480 --> 00:12:56,120 Speaker 1: want to get straight over to Gaby Coppola. She covers 229 00:12:56,520 --> 00:12:59,959 Speaker 1: UM well, she covers cars for us, and today we're 230 00:13:00,040 --> 00:13:02,640 Speaker 1: going to talk to her about Apple because we're all 231 00:13:02,679 --> 00:13:05,400 Speaker 1: excited once again about the possibility of an Apple car. 232 00:13:05,440 --> 00:13:07,840 Speaker 1: I feel like Gabby, we've been we've been pretty stoked 233 00:13:07,840 --> 00:13:12,000 Speaker 1: about this possibility for well on a decade. Now, is 234 00:13:12,040 --> 00:13:16,280 Speaker 1: it ever going to happen? I think we're seeing very 235 00:13:16,360 --> 00:13:18,920 Speaker 1: clear signals that it is going to happen. Um. I 236 00:13:18,960 --> 00:13:21,440 Speaker 1: mean just the talk, you know with automakers that have 237 00:13:21,520 --> 00:13:23,800 Speaker 1: been leaking. My colleagues and I did a story a 238 00:13:23,840 --> 00:13:26,360 Speaker 1: couple of weeks ago about you know, they're in talks 239 00:13:26,400 --> 00:13:29,000 Speaker 1: trying to find um lighter, which is sort of sensors 240 00:13:29,040 --> 00:13:32,520 Speaker 1: for self driving car features. UM. I think it is good. 241 00:13:32,520 --> 00:13:35,000 Speaker 1: It really does look like it's going to happen. This time, 242 00:13:35,480 --> 00:13:37,760 Speaker 1: I think that it's still a few years away. Are 243 00:13:37,800 --> 00:13:40,560 Speaker 1: reporting suggest that we're still several years away from seeing 244 00:13:40,600 --> 00:13:44,840 Speaker 1: an actual product? Why would Apple want to get into 245 00:13:44,880 --> 00:13:49,240 Speaker 1: the auto business, Gabby? What's kind of their strategy? Yeah, well, 246 00:13:49,280 --> 00:13:52,120 Speaker 1: I think, um it's almost become a cliche in my world, 247 00:13:52,200 --> 00:13:54,439 Speaker 1: but thinking of a of a car as an iPhone 248 00:13:54,480 --> 00:13:58,200 Speaker 1: on wheels, especially when the cars do you have, um, 249 00:13:58,480 --> 00:14:02,040 Speaker 1: do have autonomous capabilities? Think about it. I mean, think 250 00:14:02,080 --> 00:14:04,040 Speaker 1: about what you're going to do in your car if 251 00:14:04,080 --> 00:14:07,280 Speaker 1: you don't have to pay attention to the road. I mean, 252 00:14:07,280 --> 00:14:09,079 Speaker 1: probably I'm going to be taking work email, but you 253 00:14:09,120 --> 00:14:13,360 Speaker 1: could also be you know, watching TV, or you know, 254 00:14:13,400 --> 00:14:16,240 Speaker 1: playing video games or basically all the kind of data 255 00:14:16,320 --> 00:14:19,200 Speaker 1: and services and things shop taking a selfie for the 256 00:14:19,240 --> 00:14:23,000 Speaker 1: Graham exactly, you'll be Graham and all of that. Apple 257 00:14:23,080 --> 00:14:26,960 Speaker 1: wants to own that space. And so if this is 258 00:14:27,000 --> 00:14:29,240 Speaker 1: the future, and I think even though it's you know, 259 00:14:29,320 --> 00:14:32,320 Speaker 1: still pretty far away, if the future is cars that 260 00:14:32,360 --> 00:14:35,560 Speaker 1: can drive themselves, then you're going to basically be living 261 00:14:35,560 --> 00:14:38,520 Speaker 1: inside your phone when you're commuting, and Apple wants to 262 00:14:38,520 --> 00:14:41,240 Speaker 1: be able to kind of provide you all the services 263 00:14:41,480 --> 00:14:43,760 Speaker 1: and that. Let's let's try and guess how far away 264 00:14:43,760 --> 00:14:47,440 Speaker 1: it is from your experience reporting on UM, you know, 265 00:14:47,480 --> 00:14:51,120 Speaker 1: the traditional automakers. How long does it take from start 266 00:14:51,160 --> 00:14:55,000 Speaker 1: to finish when somebody at GM or somebody at Ford 267 00:14:55,600 --> 00:14:58,080 Speaker 1: UH comes up with a concept for a new car 268 00:14:58,840 --> 00:15:04,720 Speaker 1: to you know, design it, to organize production, to figure 269 00:15:04,720 --> 00:15:09,640 Speaker 1: out the supply chain, They get the prototype, then they 270 00:15:10,280 --> 00:15:12,880 Speaker 1: you know, start testing it. I mean, what does that 271 00:15:12,920 --> 00:15:18,640 Speaker 1: process take and cost? Gabby um billions of dollars? UH 272 00:15:19,080 --> 00:15:22,280 Speaker 1: costs billions of dollars. And I mean a lot of 273 00:15:22,320 --> 00:15:24,320 Speaker 1: that depends on if you're doing something brand new, which 274 00:15:24,320 --> 00:15:27,280 Speaker 1: obviously Apple would be doing. So that means everything you 275 00:15:27,320 --> 00:15:32,480 Speaker 1: just talked about, design, engineering, UH, testing for safety, you know, 276 00:15:32,560 --> 00:15:34,920 Speaker 1: things like that, that takes years. So I think that 277 00:15:34,960 --> 00:15:37,880 Speaker 1: whole process, I mean, I think you probably know as 278 00:15:37,920 --> 00:15:39,360 Speaker 1: well as I do, but I want to say, like 279 00:15:39,400 --> 00:15:45,520 Speaker 1: five years, you know, UM, And that's exactly that's UM. 280 00:15:45,560 --> 00:15:47,560 Speaker 1: That's if you're an automaker who's been doing this for 281 00:15:47,600 --> 00:15:50,720 Speaker 1: a hundred years or exactly exactly. I was thinking five 282 00:15:50,800 --> 00:15:53,160 Speaker 1: years and and a couple of billion dollars. But that's 283 00:15:53,160 --> 00:15:57,000 Speaker 1: if you already have factories. That's if you're already designing 284 00:15:57,000 --> 00:15:59,280 Speaker 1: and making cars. So Apple. We know, it was just 285 00:15:59,320 --> 00:16:03,080 Speaker 1: talking with Day and a couple of others. Chances are 286 00:16:03,600 --> 00:16:05,560 Speaker 1: they're gonna need to do a whole lot of that 287 00:16:05,600 --> 00:16:10,920 Speaker 1: footwork themselves. Yeah. Although the story I did today with 288 00:16:11,160 --> 00:16:13,520 Speaker 1: my colleague Mark German in in l A, who's our 289 00:16:13,840 --> 00:16:18,200 Speaker 1: stellar Apple reporter, UM talked about how, you know, Apple 290 00:16:18,280 --> 00:16:20,880 Speaker 1: may want to take its iPhone handbook and kind of 291 00:16:20,880 --> 00:16:24,160 Speaker 1: trying to transfer that to the auto industry and UM, 292 00:16:24,200 --> 00:16:26,400 Speaker 1: you know, they're very used to managing supply chains, and 293 00:16:26,720 --> 00:16:29,280 Speaker 1: fox Con, who we all know is supplier to Apple, 294 00:16:30,000 --> 00:16:33,520 Speaker 1: UM is trying to get into the electric vehicle manufacturing business. 295 00:16:33,880 --> 00:16:37,240 Speaker 1: So that's why people are looking at them. UM. But 296 00:16:37,320 --> 00:16:41,680 Speaker 1: I think you know, Apple, as many Silicon Valley UH 297 00:16:41,960 --> 00:16:43,960 Speaker 1: companies that have tried to get into the auto industry 298 00:16:44,000 --> 00:16:47,160 Speaker 1: have realized it's really not fun making a car. I mean, 299 00:16:47,280 --> 00:16:50,040 Speaker 1: maybe it's fun to design it, but the money involved, 300 00:16:50,080 --> 00:16:52,360 Speaker 1: the thin margins that you get for it is very 301 00:16:52,360 --> 00:16:55,480 Speaker 1: different from um, you know, writing some software and then 302 00:16:55,560 --> 00:16:58,480 Speaker 1: charging huge margins on it. So I don't think they 303 00:16:58,480 --> 00:17:01,000 Speaker 1: want to get their hands dirty with the manufacturing stuff. 304 00:17:01,000 --> 00:17:03,720 Speaker 1: That's not what they do. UM. So that's why we 305 00:17:03,800 --> 00:17:05,320 Speaker 1: think that you know, it would make a lot of 306 00:17:05,320 --> 00:17:09,080 Speaker 1: sense for them to go after a contract manufacturer, which 307 00:17:09,200 --> 00:17:11,880 Speaker 1: you know in our story we talked about Magna, which 308 00:17:11,960 --> 00:17:16,159 Speaker 1: is a Canadian global. This Dyer built my truck, the 309 00:17:16,200 --> 00:17:19,800 Speaker 1: truck I drive today. Yeah, yeah, yeah, So they can 310 00:17:19,800 --> 00:17:22,280 Speaker 1: do stup to nuts car manufacturing and they've got a 311 00:17:22,320 --> 00:17:26,880 Speaker 1: really long track record and a good reputation. Fox Cott 312 00:17:26,920 --> 00:17:31,160 Speaker 1: already has a good um. Obviously they're already in deep 313 00:17:31,160 --> 00:17:32,719 Speaker 1: with that. Well, it's just a question that can they 314 00:17:32,760 --> 00:17:35,920 Speaker 1: really make cards? Can they make cars? Bending metal? That's 315 00:17:36,000 --> 00:17:39,000 Speaker 1: the tough part, is Kevin Tyne from Bloomberg Intelligence always says, 316 00:17:39,040 --> 00:17:41,800 Speaker 1: Gabby Coppla, thank you so much for joining us. Gabby Copple, 317 00:17:41,840 --> 00:17:44,760 Speaker 1: as the auto reporter for Bloomberg News, joining us on 318 00:17:44,800 --> 00:17:52,359 Speaker 1: the phone from Detroit. European Central Bank President Christine Lagar 319 00:17:52,440 --> 00:17:55,560 Speaker 1: discussed her monetary policy decision at a news conference this 320 00:17:55,600 --> 00:17:59,840 Speaker 1: morning and had this to say about inflation. Inflation hospited 321 00:18:00,400 --> 00:18:05,760 Speaker 1: over recent months, mainly on account of some transitory factors 322 00:18:05,840 --> 00:18:10,800 Speaker 1: and an increase in energy price inflation. At the same time, 323 00:18:11,480 --> 00:18:16,520 Speaker 1: underlying price pressures remain subdued in the context of weak 324 00:18:16,640 --> 00:18:23,320 Speaker 1: demand and significance luck in labor and product markets, so 325 00:18:23,440 --> 00:18:26,600 Speaker 1: with that, the e c B also upped its inflation 326 00:18:26,760 --> 00:18:31,560 Speaker 1: forecast not UM to an absolute level that is scary 327 00:18:31,560 --> 00:18:33,560 Speaker 1: at all, one percent to one point five percent. And 328 00:18:33,560 --> 00:18:38,159 Speaker 1: of course Europe has had a much more difficult time 329 00:18:38,800 --> 00:18:43,199 Speaker 1: bringing about inflation than has the US. Right Um, the 330 00:18:43,280 --> 00:18:45,680 Speaker 1: e c B just simply hasn't been able to move 331 00:18:45,720 --> 00:18:50,000 Speaker 1: the needle UM the way the Federal Reserve had UM. 332 00:18:50,040 --> 00:18:54,760 Speaker 1: And it's very interesting also the comparison, because here in Europe, 333 00:18:54,760 --> 00:18:58,159 Speaker 1: I would say inflation is probably considered more of an evil. 334 00:18:58,240 --> 00:19:01,680 Speaker 1: Certainly in Germany it's the last thing that people want 335 00:19:01,720 --> 00:19:05,840 Speaker 1: to see. UM. Memories of the memories are are are 336 00:19:05,920 --> 00:19:09,440 Speaker 1: are very long here and the Weimar Republic, although very 337 00:19:09,440 --> 00:19:13,040 Speaker 1: few people alive now lived through it, UM still uh 338 00:19:13,520 --> 00:19:16,760 Speaker 1: still leaves a serious scar in the German psyche. It's 339 00:19:16,800 --> 00:19:18,640 Speaker 1: not nearly as bad I think in the US, Paul, 340 00:19:18,720 --> 00:19:21,600 Speaker 1: do you think that's the case, you know? And it's 341 00:19:21,600 --> 00:19:23,560 Speaker 1: been a while since we've had real inflation here, the 342 00:19:23,640 --> 00:19:26,840 Speaker 1: kind that hurts UM, you know, so there's a discussion of, 343 00:19:26,920 --> 00:19:31,280 Speaker 1: you know, kind of good inflation versus bad inflation. UM. 344 00:19:31,400 --> 00:19:33,520 Speaker 1: And I think we saw the ten year spike a 345 00:19:33,520 --> 00:19:36,359 Speaker 1: couple of weeks ago matt to one point six percent. 346 00:19:36,440 --> 00:19:39,760 Speaker 1: That kind of got people's attention, um, and caused them 347 00:19:39,800 --> 00:19:42,840 Speaker 1: to say, Okay, do we have some inflation creeping into 348 00:19:43,160 --> 00:19:46,920 Speaker 1: uh this economy more so than maybe we were forecasting, 349 00:19:46,960 --> 00:19:49,920 Speaker 1: and maybe quicker than we were forecasting. And boy, when 350 00:19:49,920 --> 00:19:51,520 Speaker 1: you to take a look at some of the commodities 351 00:19:51,560 --> 00:19:54,879 Speaker 1: out there, you can certainly get some confirmation. Um. But 352 00:19:54,960 --> 00:19:56,879 Speaker 1: you know, I was talking about this with Lisa Bramwitz, 353 00:19:56,960 --> 00:19:58,960 Speaker 1: and you know she's of the opinion that and you know, 354 00:19:59,080 --> 00:20:02,280 Speaker 1: unless you get real wage inflation, you're not gonna get 355 00:20:02,280 --> 00:20:05,879 Speaker 1: real inflation in this country. Well, I mean then the 356 00:20:05,960 --> 00:20:08,280 Speaker 1: kind of inflation that isn't real is still going to 357 00:20:08,400 --> 00:20:11,640 Speaker 1: leave a lot of people hungry and unable to drive. Right. So, 358 00:20:12,520 --> 00:20:15,200 Speaker 1: even if you don't get real inflation in the eyes 359 00:20:15,240 --> 00:20:19,320 Speaker 1: of an economist or Lisa who is close enough to 360 00:20:19,359 --> 00:20:21,680 Speaker 1: be an economist, um, it's still going to be the 361 00:20:21,720 --> 00:20:24,119 Speaker 1: kind of inflation that that makes it hard for people 362 00:20:24,200 --> 00:20:26,960 Speaker 1: to do grocery shopping and get to work and back 363 00:20:27,000 --> 00:20:29,440 Speaker 1: if they still have a job. And the other thing 364 00:20:29,440 --> 00:20:32,880 Speaker 1: I think is interesting is I'll never forget watching Ben 365 00:20:32,920 --> 00:20:37,280 Speaker 1: bernanke on sixty Minutes when he said, look, deflation is 366 00:20:37,320 --> 00:20:40,639 Speaker 1: the big scare. Um, that's what we need to worry about. 367 00:20:40,680 --> 00:20:44,159 Speaker 1: Inflation we can deal with, no problem. And you can 368 00:20:44,200 --> 00:20:47,000 Speaker 1: understand where he's coming from. We heard it from Janet 369 00:20:47,040 --> 00:20:50,320 Speaker 1: Yellen recently as well, who of course no longer at 370 00:20:50,320 --> 00:20:53,560 Speaker 1: the FED but now in charge of Treasury said, inflation 371 00:20:53,680 --> 00:20:55,760 Speaker 1: is something that we have the tools to deal with. 372 00:20:55,880 --> 00:20:58,960 Speaker 1: But Um, you and I were talking to someone recently 373 00:20:58,960 --> 00:21:03,240 Speaker 1: who pointed out that, yeah, Um, the FED can stop inflation, 374 00:21:03,320 --> 00:21:06,000 Speaker 1: no problem. Um. The only issue that they is that 375 00:21:06,080 --> 00:21:08,160 Speaker 1: they crushed the economy when they do it. The last 376 00:21:08,200 --> 00:21:11,320 Speaker 1: time we saw it happened was Paul Volker Um, and 377 00:21:11,400 --> 00:21:15,400 Speaker 1: he was practically assaulted by members of the public as 378 00:21:15,400 --> 00:21:19,119 Speaker 1: he raised rate to try and stop double digit inflation. 379 00:21:19,440 --> 00:21:22,880 Speaker 1: Let's bring in John Author's who wrote a Bloomberg opinion 380 00:21:22,880 --> 00:21:28,320 Speaker 1: piece about um. The only problem basically with the inflation 381 00:21:28,359 --> 00:21:32,280 Speaker 1: scare being that he doesn't see any inflation. John, Um, 382 00:21:32,720 --> 00:21:36,560 Speaker 1: are you saying that, yeah, the opportunity word yet? But 383 00:21:36,680 --> 00:21:40,359 Speaker 1: yes there is. There is very little clear inflation showing 384 00:21:40,440 --> 00:21:43,360 Speaker 1: up in official numbers yet, so we've seen it so far. 385 00:21:43,600 --> 00:21:45,760 Speaker 1: I was just looking at beef prices and they have 386 00:21:45,880 --> 00:21:49,760 Speaker 1: been steadily rising. Paul noted that UM, it costs now 387 00:21:49,800 --> 00:21:53,680 Speaker 1: three dollars a gallon to fill up his tank with gas, 388 00:21:53,760 --> 00:21:56,520 Speaker 1: which is certainly a rising price. And I noticed that 389 00:21:56,920 --> 00:21:59,600 Speaker 1: the kids think rent is gonna cost nine percent more 390 00:21:59,720 --> 00:22:03,480 Speaker 1: next year. So some things are definitely starting to scare people. 391 00:22:04,320 --> 00:22:08,480 Speaker 1: Oh yes, definitely. What what is interesting and the thing 392 00:22:08,520 --> 00:22:12,000 Speaker 1: is we have always known, UM, people have been braced 393 00:22:12,040 --> 00:22:14,520 Speaker 1: for months for an inflation scare in the early months 394 00:22:14,520 --> 00:22:18,879 Speaker 1: of this year because the big lockdown and also the 395 00:22:18,920 --> 00:22:21,360 Speaker 1: big fall in the oil price for March last year, 396 00:22:21,359 --> 00:22:25,359 Speaker 1: are going to drop out of year on your year comparisons, uh, 397 00:22:25,520 --> 00:22:28,480 Speaker 1: and you're suddenly going to have headline inflation figures that 398 00:22:28,520 --> 00:22:32,680 Speaker 1: look not like a return to the seventies but sharply worse. 399 00:22:33,440 --> 00:22:36,120 Speaker 1: So a lot of people have been nervous about what 400 00:22:36,200 --> 00:22:41,359 Speaker 1: that psychology, psychological effect will have. What is intriguing to me, 401 00:22:41,680 --> 00:22:46,000 Speaker 1: just UM writing up the My latest piece is that 402 00:22:46,560 --> 00:22:49,720 Speaker 1: it's not really new pieces of evidence about inflation of 403 00:22:49,800 --> 00:22:55,879 Speaker 1: that is really truly scaring the market. It's um nerves 404 00:22:55,920 --> 00:22:59,920 Speaker 1: about bond deals because so much is running on also 405 00:23:00,440 --> 00:23:05,199 Speaker 1: leveraged trading, on on on, you know, as we all know, 406 00:23:05,400 --> 00:23:10,000 Speaker 1: very low interest rates, and so the great concern is 407 00:23:10,040 --> 00:23:13,240 Speaker 1: that we's not so much that or the great content 408 00:23:13,600 --> 00:23:18,320 Speaker 1: for the time being, which explains these incredible rotations and 409 00:23:18,359 --> 00:23:20,880 Speaker 1: moves within the market for the last week or two. 410 00:23:21,640 --> 00:23:25,120 Speaker 1: Isn't about the long term prospect of you know, secular 411 00:23:25,160 --> 00:23:27,439 Speaker 1: extent of inflation. It's about, Oh, you're gonna have an 412 00:23:27,480 --> 00:23:30,159 Speaker 1: accident in the bond market, and is that going to 413 00:23:30,200 --> 00:23:33,880 Speaker 1: bring us all crashing down? Um? And somehow are there 414 00:23:34,359 --> 00:23:38,439 Speaker 1: We've just about avoided that more by luck and judgments probably. 415 00:23:38,920 --> 00:23:40,760 Speaker 1: What are some of the areas if we do, in 416 00:23:40,840 --> 00:23:44,600 Speaker 1: fact get some troubling inflation, Where do you think we're 417 00:23:44,600 --> 00:23:46,240 Speaker 1: going to see it first? And what kind of where 418 00:23:46,240 --> 00:23:50,080 Speaker 1: where where are you paying attention? Well, other than other 419 00:23:50,160 --> 00:23:54,760 Speaker 1: than oil, which isn't strictly part of what the Fed 420 00:23:54,840 --> 00:23:58,920 Speaker 1: can try to try to cover, but that's obviously an 421 00:23:58,960 --> 00:24:02,239 Speaker 1: important part of it. The area you just mentioned as 422 00:24:02,240 --> 00:24:05,800 Speaker 1: well of rents, that the fact that the low rates 423 00:24:05,840 --> 00:24:09,719 Speaker 1: have led to very sharp increases in house prices that 424 00:24:09,800 --> 00:24:14,560 Speaker 1: might well logically lead to a rise in rents in 425 00:24:14,640 --> 00:24:18,440 Speaker 1: its wake. Other than that, it's all these areas that 426 00:24:18,520 --> 00:24:22,480 Speaker 1: might be affected by supply bottlenecks, which is much of 427 00:24:23,359 --> 00:24:26,560 Speaker 1: much of the economy. UM. Yeah, well, cars, it is 428 00:24:26,600 --> 00:24:30,960 Speaker 1: one thing. I mean, I've noticed, John, that dealers are 429 00:24:31,000 --> 00:24:35,720 Speaker 1: marking up cars to an incredibly high margin because you 430 00:24:35,760 --> 00:24:37,280 Speaker 1: just can't get them on a lot due to the 431 00:24:37,359 --> 00:24:41,600 Speaker 1: chip shortage. Yes, and well, and I'm trying to I'm 432 00:24:41,640 --> 00:24:44,119 Speaker 1: trying to buy a laptop for my for my daughter 433 00:24:44,200 --> 00:24:46,800 Speaker 1: at the moment. Since yes, that that chip shortage also 434 00:24:46,840 --> 00:24:49,160 Speaker 1: has an effect on computer prices, So you know those 435 00:24:49,200 --> 00:24:54,720 Speaker 1: are those are big. It's it's it's those supply shortages. 436 00:24:54,840 --> 00:24:57,479 Speaker 1: You know, the piggies working its way through the python, 437 00:24:58,400 --> 00:25:00,760 Speaker 1: and we're now at the stage where their really affecting 438 00:25:01,080 --> 00:25:04,199 Speaker 1: prices here. And so if you then add that to 439 00:25:04,280 --> 00:25:07,600 Speaker 1: the base effects and the worries about it change in 440 00:25:07,640 --> 00:25:09,880 Speaker 1: psychology with all the money around, that's why people think 441 00:25:10,200 --> 00:25:13,320 Speaker 1: a serious rising inflation could be ahead of us. But 442 00:25:13,400 --> 00:25:16,040 Speaker 1: I don't think. But what is interesting is the true 443 00:25:16,480 --> 00:25:19,040 Speaker 1: serious inflation in the measures that we normally look at 444 00:25:19,640 --> 00:25:24,199 Speaker 1: hasn't really got starting yet. Hey, John, thank you so 445 00:25:24,280 --> 00:25:27,080 Speaker 1: much for joining us. We always appreciate getting your thoughts. 446 00:25:27,119 --> 00:25:31,199 Speaker 1: John author's senior editor Bloomberg Markets, also a bloomberket opinion, 447 00:25:31,320 --> 00:25:35,000 Speaker 1: comments that joining us on the phone, thanks for listening 448 00:25:35,040 --> 00:25:38,560 Speaker 1: to the Bloomberg Markets podcast. You can subscribe and listen 449 00:25:38,560 --> 00:25:42,840 Speaker 1: to interviews of Apple Podcasts or whatever podcast platform you prefer. 450 00:25:43,240 --> 00:25:47,200 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller three. 451 00:25:47,640 --> 00:25:50,120 Speaker 1: Pet On Ball Sweeney I'm on Twitter at pt Sweeney. 452 00:25:50,160 --> 00:25:52,840 Speaker 1: Before the podcast, you can always catch us worldwide at 453 00:25:52,840 --> 00:25:53,600 Speaker 1: Bloomberg Radio