1 00:00:05,120 --> 00:00:09,200 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keene along 2 00:00:09,240 --> 00:00:13,080 Speaker 1: with Jonathan Ferrell and Lisa Brownwitz Jay Leie. We bring 3 00:00:13,119 --> 00:00:17,159 Speaker 1: you insight from the best and economics, finance, investment and 4 00:00:17,280 --> 00:00:23,280 Speaker 1: international relations. Find Bloomberg Surveillance and Apple Podcast SoundCloud, Bloomberg 5 00:00:23,360 --> 00:00:29,560 Speaker 1: dot Com and of course on the Bloomberg Terminal. Now 6 00:00:29,600 --> 00:00:33,800 Speaker 1: an important update our John Farrell in conversation with the 7 00:00:33,920 --> 00:00:37,440 Speaker 1: leader of General Motors. Let's listen. Are he pleased to 8 00:00:37,440 --> 00:00:40,440 Speaker 1: say that joining us now is the GM chief Mary Barra. Mary, 9 00:00:40,440 --> 00:00:42,640 Speaker 1: fantastic to catch up with you. I want to whip 10 00:00:42,640 --> 00:00:45,199 Speaker 1: through the south Side research off the back of these numbers, Dan, 11 00:00:45,280 --> 00:00:48,480 Speaker 1: i've's wet bush by laying major groundwork for a game 12 00:00:48,560 --> 00:00:52,440 Speaker 1: changing EV strategy city a positive outcome. It increases our 13 00:00:52,479 --> 00:00:56,840 Speaker 1: conviction by Jeffries and Philippe Hut is a little bit 14 00:00:56,840 --> 00:00:59,600 Speaker 1: more balanced on this. He seems surprised by the volume 15 00:00:59,640 --> 00:01:02,680 Speaker 1: guide two to three times bigger than what they've heard 16 00:01:02,720 --> 00:01:04,640 Speaker 1: coming into this. Where's that coming from? Mary? Where are 17 00:01:04,640 --> 00:01:08,480 Speaker 1: you getting that visibility from? Well, as we look at 18 00:01:08,480 --> 00:01:12,560 Speaker 1: the year, we've been working closely with the semiconductor manufacturers. 19 00:01:12,560 --> 00:01:14,480 Speaker 1: Are tier ones to make sure that we you know, 20 00:01:14,560 --> 00:01:16,960 Speaker 1: have the best possible forecast for what we're gonna be 21 00:01:17,000 --> 00:01:19,000 Speaker 1: able to build this year. Recall, last year we were 22 00:01:19,080 --> 00:01:21,560 Speaker 1: hit a bit hard with some of the COVID impacts 23 00:01:21,560 --> 00:01:24,120 Speaker 1: in Malaysia. So that's where we see, um, you know, 24 00:01:24,160 --> 00:01:26,840 Speaker 1: the opportunity to see on a global basis, you know, 25 00:01:27,760 --> 00:01:32,720 Speaker 1: greater than increase from a production perspective, and that is 26 00:01:32,760 --> 00:01:34,480 Speaker 1: assuming that we're not going to have any you know, 27 00:01:34,600 --> 00:01:38,360 Speaker 1: dramatic changes from a COVID or a supply chain perfect perspective. 28 00:01:38,520 --> 00:01:41,640 Speaker 1: But we feel very confident. And also what's exciting is 29 00:01:41,959 --> 00:01:44,399 Speaker 1: we know there is strong demand for our vehicles. So 30 00:01:44,880 --> 00:01:47,160 Speaker 1: I'm very h I think twenty two has the opportunity 31 00:01:47,160 --> 00:01:48,400 Speaker 1: to be a very good year. I want to hit 32 00:01:48,440 --> 00:01:50,080 Speaker 1: that to mind story in just a moment. Clearly there's 33 00:01:50,080 --> 00:01:51,800 Speaker 1: a balance a play through last year, and you're now 34 00:01:51,920 --> 00:01:54,400 Speaker 1: that balance with a stalk performance. We saw a balance 35 00:01:54,480 --> 00:01:57,800 Speaker 1: between the chip access and pushing it towards the high 36 00:01:57,800 --> 00:02:00,280 Speaker 1: price vehicles. Now it's almost the opposite, and I think 37 00:02:00,280 --> 00:02:02,560 Speaker 1: there's some disappointment around that. Mary that you get the 38 00:02:02,600 --> 00:02:05,680 Speaker 1: better access, you get the better volume, but the average 39 00:02:05,680 --> 00:02:08,360 Speaker 1: price comes down. How do you balance that? How do 40 00:02:08,400 --> 00:02:12,520 Speaker 1: you optimize the balance there for twenty two. Well, you 41 00:02:12,520 --> 00:02:14,680 Speaker 1: know again this we had record performance this year and 42 00:02:14,680 --> 00:02:16,959 Speaker 1: again hats off to the GM team with all the 43 00:02:17,000 --> 00:02:19,560 Speaker 1: work that they did, the challenges that they overcame. And 44 00:02:19,560 --> 00:02:21,360 Speaker 1: as we get into next year, you know, not only 45 00:02:21,360 --> 00:02:24,000 Speaker 1: are we going to be selling across many more segments. 46 00:02:24,320 --> 00:02:26,640 Speaker 1: Last year in twenty one, we focused on our most 47 00:02:26,680 --> 00:02:30,320 Speaker 1: in demand and capacity constrained vehicles. So as we open 48 00:02:30,400 --> 00:02:33,600 Speaker 1: it up to you know, other allocation to chips, to 49 00:02:33,680 --> 00:02:36,200 Speaker 1: other products. Uh. You know, it is a different from 50 00:02:36,440 --> 00:02:40,320 Speaker 1: a profitability perspective, and we also are investing in growth 51 00:02:40,480 --> 00:02:42,840 Speaker 1: and so you know, we're investing for the future. We 52 00:02:42,840 --> 00:02:45,240 Speaker 1: know there's a huge opportunity not only from an EV 53 00:02:45,440 --> 00:02:48,640 Speaker 1: perspective UH and a V perspective with crews, but also 54 00:02:48,880 --> 00:02:51,880 Speaker 1: across the board from a software perspective, whether it's ICE 55 00:02:52,120 --> 00:02:54,600 Speaker 1: or E V s H. We see an opportunity to 56 00:02:54,639 --> 00:02:58,480 Speaker 1: really grow from a from a services and subscriptions perspective. Mary, 57 00:02:58,480 --> 00:03:00,200 Speaker 1: you've gotta help me with the numbers what it comes 58 00:03:00,200 --> 00:03:02,280 Speaker 1: to capex and investment. The numbers we've seen in this 59 00:03:02,320 --> 00:03:05,000 Speaker 1: industry just huge. The team here at Bloombergh came out 60 00:03:05,000 --> 00:03:07,960 Speaker 1: with the story FOD yesterday, throwing another twenty billion at 61 00:03:07,960 --> 00:03:10,720 Speaker 1: this transition. You said, quote, we're going to be increasing 62 00:03:10,760 --> 00:03:12,960 Speaker 1: spending that much is clear. Is the answer always going 63 00:03:13,000 --> 00:03:15,000 Speaker 1: to be more? When you're asked how much you need 64 00:03:15,040 --> 00:03:18,000 Speaker 1: to throw at this story, Mary, Well, you know we've 65 00:03:18,040 --> 00:03:20,400 Speaker 1: already announced between twenty and twenty five that we're going 66 00:03:20,440 --> 00:03:23,280 Speaker 1: to invest thirty five billion dollars and we've been investing. 67 00:03:23,320 --> 00:03:26,919 Speaker 1: That big announcement yes or last week in Michigan seven 68 00:03:26,919 --> 00:03:30,560 Speaker 1: billion dollars for conversion of a plant to build trucks 69 00:03:31,040 --> 00:03:34,440 Speaker 1: EV trucks as well as our third battery plant. We're 70 00:03:34,440 --> 00:03:37,360 Speaker 1: pulling ahead our fourth battery plant will be making that 71 00:03:37,400 --> 00:03:40,280 Speaker 1: announcement in the first half of this year, as well 72 00:03:40,320 --> 00:03:44,320 Speaker 1: as an additional EV truck plan. So we're seeing the 73 00:03:44,360 --> 00:03:47,040 Speaker 1: demand for our products and we're seeing customers willingness to 74 00:03:47,040 --> 00:03:50,000 Speaker 1: adapt VS. That's what's calling causing us to pull ahead. 75 00:03:50,200 --> 00:03:52,240 Speaker 1: You know we're we're going to continue to do that, 76 00:03:52,400 --> 00:03:55,240 Speaker 1: and you know we've got the capability to do that, 77 00:03:55,640 --> 00:03:58,200 Speaker 1: and you'll just see our number grow as we continue 78 00:03:58,240 --> 00:04:01,400 Speaker 1: to invest in e v a V capability. Right at 79 00:04:01,400 --> 00:04:03,640 Speaker 1: the end of the cool yesterday you talked about the 80 00:04:03,680 --> 00:04:07,040 Speaker 1: dividend murray, where is it? When does this dividend come back? 81 00:04:07,080 --> 00:04:11,160 Speaker 1: What you need to achieve to bring them back into apply? Well, 82 00:04:11,160 --> 00:04:13,360 Speaker 1: you know, we've had a capital allocation framework for the 83 00:04:13,480 --> 00:04:16,200 Speaker 1: last several years where first we invest in opportunities to 84 00:04:16,240 --> 00:04:19,840 Speaker 1: generate a return on invested capital of greater than as 85 00:04:19,880 --> 00:04:22,280 Speaker 1: well as have an investment grade balance sheet, and then 86 00:04:22,320 --> 00:04:24,479 Speaker 1: return the rest to shareholders. And that's what we plan 87 00:04:24,600 --> 00:04:26,960 Speaker 1: to do. But with all the opportunities we see in 88 00:04:27,000 --> 00:04:30,000 Speaker 1: front of us to accelerate on EVS, accelerate a VIS, 89 00:04:30,240 --> 00:04:33,560 Speaker 1: and accelerate the software defined vehicle, we want to make 90 00:04:33,600 --> 00:04:36,160 Speaker 1: sure we have maximum flexibility and that's why we're not 91 00:04:36,240 --> 00:04:40,840 Speaker 1: reinstating the dividends as we currently assess the situation. Uh, 92 00:04:40,880 --> 00:04:44,080 Speaker 1: you know, there's still are other mechanisms to return value 93 00:04:44,120 --> 00:04:46,560 Speaker 1: to shareholders, but we want to have the flexibility to 94 00:04:46,640 --> 00:04:49,520 Speaker 1: really support our growth. Do you think bipacks make most sense? 95 00:04:49,600 --> 00:04:52,440 Speaker 1: Is that what you're trying to say that? Well, again, 96 00:04:52,480 --> 00:04:54,440 Speaker 1: you know, I think the first there's three pillars of 97 00:04:54,440 --> 00:04:57,480 Speaker 1: our capital allocation framework to me, Uh, making sure we're 98 00:04:57,520 --> 00:05:00,560 Speaker 1: investing in creating value and growth think is the best 99 00:05:00,600 --> 00:05:02,680 Speaker 1: thing we can do for our shareholders. But if you 100 00:05:02,720 --> 00:05:05,320 Speaker 1: know we at the end we have excess capital. We 101 00:05:05,360 --> 00:05:07,800 Speaker 1: are going to use one of the mechanisms to be 102 00:05:07,839 --> 00:05:10,159 Speaker 1: able to return that to our shareholders. You've mentioned demand 103 00:05:10,160 --> 00:05:12,320 Speaker 1: a few times. Let's go through the numbers. The numbers 104 00:05:12,320 --> 00:05:14,960 Speaker 1: are staggering. You've talked about this pent up demanding the 105 00:05:14,960 --> 00:05:17,679 Speaker 1: American market of several million vehicles on the e V side. 106 00:05:17,680 --> 00:05:20,360 Speaker 1: I was looking through the orders the reservations. Fifty nine 107 00:05:20,400 --> 00:05:24,440 Speaker 1: thousand hummery vs dred and ten thousand Electric Chevy Silveradoes. 108 00:05:24,480 --> 00:05:25,919 Speaker 1: I'm sure that if you open the books again for 109 00:05:25,920 --> 00:05:29,000 Speaker 1: some of these names, they'll go again. They'll go again. Mary, 110 00:05:29,040 --> 00:05:33,120 Speaker 1: have you ever seen demand this great in this country 111 00:05:33,160 --> 00:05:38,960 Speaker 1: for this transition? You know, I just am really encouraged 112 00:05:39,000 --> 00:05:42,120 Speaker 1: by how much interest there are in evs. I really 113 00:05:42,200 --> 00:05:44,440 Speaker 1: last year we started to see a tipping point, and 114 00:05:44,480 --> 00:05:47,360 Speaker 1: that's why last year we really end in. In twenty 115 00:05:47,440 --> 00:05:50,719 Speaker 1: we started accelerating our push to e vs. And you know, 116 00:05:50,760 --> 00:05:53,800 Speaker 1: we're uniquely positioned from a traditional o EM because we 117 00:05:53,880 --> 00:05:57,080 Speaker 1: have the ultim platform that we started working on several 118 00:05:57,160 --> 00:05:59,800 Speaker 1: years ago. We launched the first vehicles off of it, 119 00:06:00,080 --> 00:06:03,080 Speaker 1: share with the Hummer, and so that's enabling us to 120 00:06:03,120 --> 00:06:06,200 Speaker 1: move quickly. But also have scale from a battery perspective, 121 00:06:06,440 --> 00:06:09,280 Speaker 1: that will I think give us a really efficient um 122 00:06:10,120 --> 00:06:13,799 Speaker 1: margin as we make these transitions. So I'm very enthused 123 00:06:13,839 --> 00:06:16,560 Speaker 1: with the interest in EVS the reservations, as you say, 124 00:06:16,560 --> 00:06:17,960 Speaker 1: and I also think it goes to the fact that 125 00:06:18,000 --> 00:06:21,120 Speaker 1: our products are ev products off of ultium offer a 126 00:06:21,160 --> 00:06:23,960 Speaker 1: lot of advantages from a range from a performance, uh, 127 00:06:24,080 --> 00:06:29,719 Speaker 1: you know, flexibility. So, uh, this transformation is pretty exciting. 128 00:06:29,839 --> 00:06:31,960 Speaker 1: I can tell you're excited about it. I can tell 129 00:06:32,000 --> 00:06:34,200 Speaker 1: you're excited about the margins. I can tell you're excited 130 00:06:34,200 --> 00:06:37,160 Speaker 1: about it. Debob, here's the delicate question. Why does this 131 00:06:37,240 --> 00:06:42,919 Speaker 1: industry then need credits, need tax credits? Well, as you 132 00:06:42,960 --> 00:06:45,800 Speaker 1: look at EVS, we do need to get in uh 133 00:06:45,920 --> 00:06:50,280 Speaker 1: customers into electric vehicles. We've seen that, Uh, the incentives 134 00:06:50,320 --> 00:06:53,680 Speaker 1: do help drive ev adaption. And remember we have aggressive 135 00:06:53,720 --> 00:06:56,680 Speaker 1: goals from a country from frankly, a country perspective and 136 00:06:56,720 --> 00:06:59,080 Speaker 1: a global perspective from what we need to do for 137 00:06:59,160 --> 00:07:02,120 Speaker 1: the environment. So we think that will help, especially as 138 00:07:02,240 --> 00:07:04,640 Speaker 1: all companies work to get battery costs down. I don't 139 00:07:04,640 --> 00:07:06,560 Speaker 1: think it's for everything, but I think right now to 140 00:07:06,600 --> 00:07:08,760 Speaker 1: get where we need to go from a market perspective 141 00:07:08,800 --> 00:07:11,720 Speaker 1: from a climate change, it's appropriate to do. What we're 142 00:07:11,760 --> 00:07:14,360 Speaker 1: asking is is let's make it a level playing field. 143 00:07:14,360 --> 00:07:16,880 Speaker 1: We were a first mover, we're already out of today's credits, 144 00:07:17,080 --> 00:07:20,200 Speaker 1: and we're saying let's uncap them so customers can truly 145 00:07:20,240 --> 00:07:21,960 Speaker 1: buy what they want. When you say make it a 146 00:07:22,040 --> 00:07:24,400 Speaker 1: level playing field, what do you make of the extra 147 00:07:24,440 --> 00:07:27,120 Speaker 1: credits going if this was implemented and pushed through from 148 00:07:27,280 --> 00:07:29,120 Speaker 1: the White House, what would you make of the extra 149 00:07:29,160 --> 00:07:32,000 Speaker 1: credits going to companies that are selling cars made with 150 00:07:32,080 --> 00:07:35,080 Speaker 1: domestic union labor. Does that sound like a fair playing 151 00:07:35,080 --> 00:07:38,800 Speaker 1: field to you? Well, you know again, everybody, every workforce 152 00:07:38,840 --> 00:07:41,520 Speaker 1: has the right to unionize, so it's a choice that 153 00:07:41,560 --> 00:07:45,280 Speaker 1: they're making. We're General Motors were you know, represented in 154 00:07:45,280 --> 00:07:47,880 Speaker 1: the United States by the UAW and unions around the world. 155 00:07:48,360 --> 00:07:50,640 Speaker 1: We've done a lot of great work together. So um, 156 00:07:50,680 --> 00:07:52,520 Speaker 1: you know again, every company can make their choice and 157 00:07:52,720 --> 00:07:54,400 Speaker 1: the workforce can as well. Well. The White House has 158 00:07:54,400 --> 00:07:55,960 Speaker 1: got to make a choice too, and you support it. 159 00:07:56,120 --> 00:07:57,880 Speaker 1: I want to go through these credits. They're pushing for 160 00:07:57,920 --> 00:08:00,560 Speaker 1: a four thousand, five d dollar additional credit of vehicles 161 00:08:00,560 --> 00:08:02,960 Speaker 1: that are made using domestic union labor. You get an 162 00:08:03,000 --> 00:08:06,520 Speaker 1: additional five dollars for manufacturers that use domestically produced batteries. 163 00:08:06,560 --> 00:08:08,960 Speaker 1: And Mary, one thing that I've been confused by is 164 00:08:09,200 --> 00:08:11,160 Speaker 1: why the push here. You've just gone through the demand story. 165 00:08:11,160 --> 00:08:13,920 Speaker 1: It sounds fantastic, you're excited about it. I see the 166 00:08:13,920 --> 00:08:16,320 Speaker 1: same thing at Ford, and I see a demand problem here. 167 00:08:16,360 --> 00:08:19,640 Speaker 1: I see an infrastructure problem which the government could be focusing. Gone, Mary, 168 00:08:19,680 --> 00:08:21,360 Speaker 1: why do you think we should be focusing at all 169 00:08:21,360 --> 00:08:23,680 Speaker 1: on tax credits? You sat in the White House in 170 00:08:23,720 --> 00:08:26,280 Speaker 1: the last couple of weeks and you supported that. You said, 171 00:08:26,280 --> 00:08:29,280 Speaker 1: getting strong demand is very important. But we have that demand. 172 00:08:29,320 --> 00:08:31,720 Speaker 1: So Mary, again, why should we be focusing on that 173 00:08:31,800 --> 00:08:34,360 Speaker 1: in any way, shape or form. Right, Well, I think 174 00:08:34,400 --> 00:08:36,240 Speaker 1: what we're looking for is we have strong demand. But 175 00:08:36,280 --> 00:08:37,880 Speaker 1: you know, when you look at how many EV sales 176 00:08:37,880 --> 00:08:40,160 Speaker 1: there are today, we're in this single digits. We need 177 00:08:40,200 --> 00:08:43,920 Speaker 1: to buy end a decade to get to UH and 178 00:08:44,000 --> 00:08:46,319 Speaker 1: so that's where you've really got to have the right portfolio. 179 00:08:46,360 --> 00:08:48,240 Speaker 1: That's what we're working on. But you've also got to 180 00:08:48,640 --> 00:08:51,320 Speaker 1: move the customer and get their interest and so to 181 00:08:51,360 --> 00:08:53,280 Speaker 1: get to the levels of adaptation. We're just in the 182 00:08:53,280 --> 00:08:56,160 Speaker 1: early phases right now, and I think that's important. Also, 183 00:08:56,280 --> 00:09:00,160 Speaker 1: infrastructure EV charging infrastructure is very very important, and the 184 00:09:00,200 --> 00:09:02,959 Speaker 1: bipartisan bill that was passed for infrastructure, I think is 185 00:09:03,000 --> 00:09:05,880 Speaker 1: going to move the infrastructure along along with what startup 186 00:09:05,880 --> 00:09:08,480 Speaker 1: companies are doing. We're investing about a quarter of a 187 00:09:08,480 --> 00:09:12,559 Speaker 1: billion dollars in charging again to make sure that there 188 00:09:12,600 --> 00:09:15,640 Speaker 1: any customer, even customers that only own one vehicle, know 189 00:09:15,760 --> 00:09:17,800 Speaker 1: that they can count on their electric vehicle for their 190 00:09:17,840 --> 00:09:20,280 Speaker 1: daily drive. Mary, as you know little mention of the 191 00:09:20,320 --> 00:09:23,520 Speaker 1: Bowl Ev in your letter, some people have been raised 192 00:09:23,520 --> 00:09:25,360 Speaker 1: to a question as to whether that whole project gets 193 00:09:25,360 --> 00:09:28,040 Speaker 1: can as you read, so your plants around the country, 194 00:09:28,160 --> 00:09:30,480 Speaker 1: Maria committed to that. Why does that still makes sense? 195 00:09:31,920 --> 00:09:34,160 Speaker 1: I'm sorry, could you really I couldn't hear your question. Sure, 196 00:09:34,280 --> 00:09:36,080 Speaker 1: just on the Chevy boat, just on the boat itself. 197 00:09:36,120 --> 00:09:38,120 Speaker 1: There's been some problems there, as you know, some people 198 00:09:38,120 --> 00:09:39,760 Speaker 1: have raised the question as to whether you should just 199 00:09:39,840 --> 00:09:42,120 Speaker 1: ditch the whole project and focus on what you've been 200 00:09:42,120 --> 00:09:45,320 Speaker 1: doing subsequently, which seems to be attracting massive demand. Why 201 00:09:45,360 --> 00:09:48,560 Speaker 1: does that push there's still makes sense? Well, first of all, 202 00:09:48,600 --> 00:09:51,079 Speaker 1: it's a great product. I was most recently driving a 203 00:09:51,160 --> 00:09:54,840 Speaker 1: Chevrolet Bold Ev and it's just a peppy vehicle fund 204 00:09:54,840 --> 00:09:57,640 Speaker 1: to drive. You know, our customers that have bought Bold 205 00:09:57,640 --> 00:10:00,000 Speaker 1: evs or evs are some of the most satisfied CUSS 206 00:10:00,000 --> 00:10:02,800 Speaker 1: summers in industry, not just with the GM product, so 207 00:10:02,840 --> 00:10:05,400 Speaker 1: it's a great product. We had a very specific issue 208 00:10:05,440 --> 00:10:09,440 Speaker 1: with lg Are, our manufacturer, the batteries. We have worked 209 00:10:09,480 --> 00:10:12,160 Speaker 1: with them. That's been corrected and we're seeing uh, you know, 210 00:10:12,240 --> 00:10:15,440 Speaker 1: strong interests and so that the Chevrolet Bolt, EVY and 211 00:10:15,480 --> 00:10:17,560 Speaker 1: eu V will be a very important part of our 212 00:10:17,640 --> 00:10:20,720 Speaker 1: near term, near term for future for evis. You've got 213 00:10:20,760 --> 00:10:23,040 Speaker 1: an ev market share goal for this year? Mary? What 214 00:10:23,120 --> 00:10:26,800 Speaker 1: is it again? I'm sorry you're coming in muffled. I'm 215 00:10:26,840 --> 00:10:29,439 Speaker 1: so sorry. That's okay. I'm happy to repeat myself. Don't worry. 216 00:10:29,679 --> 00:10:31,600 Speaker 1: Do you have an e V market share goal for 217 00:10:31,600 --> 00:10:34,480 Speaker 1: this year? And if so, what is it? You know, 218 00:10:34,520 --> 00:10:37,000 Speaker 1: we're working between twenty two and twenty four as we 219 00:10:37,040 --> 00:10:41,439 Speaker 1: accelerate vehicles to sell uh four hundred thousand um or 220 00:10:41,559 --> 00:10:43,880 Speaker 1: planned to build and sell four hundred thousand vehicles by 221 00:10:43,920 --> 00:10:46,839 Speaker 1: the end of three sou and that's just going to 222 00:10:47,000 --> 00:10:50,800 Speaker 1: ramp up from there. So we're very very optimistic about 223 00:10:50,960 --> 00:10:53,040 Speaker 1: the strength of our products and as we build them. 224 00:10:53,400 --> 00:10:56,040 Speaker 1: Uh again, we're seeing with the reservations they're sold. So 225 00:10:56,480 --> 00:10:59,600 Speaker 1: that's our goal for the three time frame. The puny 226 00:10:59,640 --> 00:11:01,240 Speaker 1: question for may have also taken the ham of the 227 00:11:01,240 --> 00:11:04,680 Speaker 1: Business round Table in America. So for you personally, what 228 00:11:04,720 --> 00:11:08,240 Speaker 1: are the big goals there for you? Well, again, I 229 00:11:08,280 --> 00:11:11,440 Speaker 1: think business when we look at the transformation um that's 230 00:11:11,440 --> 00:11:15,600 Speaker 1: happening in almost every industry, I think business working together 231 00:11:15,640 --> 00:11:19,280 Speaker 1: and also being a partner to move the country forward 232 00:11:19,440 --> 00:11:21,120 Speaker 1: is very important. So I'm very proud of my b 233 00:11:21,280 --> 00:11:25,800 Speaker 1: r T role and representing companies as we look to 234 00:11:25,800 --> 00:11:28,520 Speaker 1: to move to the future and you know, really create 235 00:11:28,960 --> 00:11:33,680 Speaker 1: a stronger country. So uh, really important opportunity and the 236 00:11:33,679 --> 00:11:35,520 Speaker 1: work that beer T does is so important. So I'm 237 00:11:35,559 --> 00:11:37,800 Speaker 1: honored to be able to have the opportunity to lead them, 238 00:11:37,880 --> 00:11:39,360 Speaker 1: and we honored to have you with us this morning. 239 00:11:39,400 --> 00:11:41,079 Speaker 1: Thank you for being with us, looking forward to catching 240 00:11:41,160 --> 00:11:43,520 Speaker 1: up through the year ahead. The General Motors Chair and 241 00:11:43,679 --> 00:11:54,160 Speaker 1: CEO Mary Barra right now with the Cruel Institute, a 242 00:11:54,200 --> 00:11:57,000 Speaker 1: global chief economist and that's an app phrase from Megan 243 00:11:57,040 --> 00:12:00,800 Speaker 1: Green with terrific transatlantic academic. We're Megan, thank you so 244 00:12:00,920 --> 00:12:03,520 Speaker 1: much for joining this morning. How do you do a 245 00:12:03,600 --> 00:12:07,080 Speaker 1: three months moving average on something as emotional is the 246 00:12:07,120 --> 00:12:11,520 Speaker 1: American labor economy, do you single point at Friday grim 247 00:12:11,600 --> 00:12:14,480 Speaker 1: number or do you smooth it out to a moving average? 248 00:12:15,640 --> 00:12:17,760 Speaker 1: I think you have to smooth it out. And also 249 00:12:17,920 --> 00:12:21,040 Speaker 1: it's it's not like bad numbers on Friday will be 250 00:12:21,080 --> 00:12:23,840 Speaker 1: a surprise to anyone. It's been very well telegraphed by 251 00:12:23,880 --> 00:12:27,000 Speaker 1: the White House, the Labor Secretary, that FED um the 252 00:12:27,080 --> 00:12:30,240 Speaker 1: numbers should look pretty disappointing relative to what we've become 253 00:12:30,240 --> 00:12:33,480 Speaker 1: accustomed to. But I've never ascribed too much meaning to 254 00:12:33,520 --> 00:12:36,160 Speaker 1: any single data point, whether it's the jobs data or 255 00:12:36,200 --> 00:12:39,440 Speaker 1: any other. And we know that our labor market is healing. 256 00:12:39,840 --> 00:12:42,800 Speaker 1: The questions, as you guys pointed out, is really where 257 00:12:42,840 --> 00:12:45,800 Speaker 1: did all the workers go? Uh? And are they ever 258 00:12:45,920 --> 00:12:48,240 Speaker 1: coming back? I think that's what the FED really needs 259 00:12:48,280 --> 00:12:50,640 Speaker 1: to know to be able to gauge exactly how tight 260 00:12:50,679 --> 00:12:53,760 Speaker 1: the labor market really is and therefore how they should 261 00:12:53,800 --> 00:12:57,599 Speaker 1: be setting uh their rate path going forward. Megan, A 262 00:12:57,720 --> 00:13:00,840 Speaker 1: hallmark of your work is to wait of the data. 263 00:13:00,960 --> 00:13:04,199 Speaker 1: What do you make of the present rate height? Guessing 264 00:13:04,440 --> 00:13:08,400 Speaker 1: parlor game? Is there any value to it? Are you 265 00:13:08,440 --> 00:13:10,640 Speaker 1: are you saying to yourself. I gotta wait for pictures 266 00:13:10,640 --> 00:13:12,920 Speaker 1: and catchers to see what the red sox will do, 267 00:13:13,160 --> 00:13:16,880 Speaker 1: and also to see what the rate structure will be, yeah, 268 00:13:17,040 --> 00:13:19,240 Speaker 1: more the latter. To be honest, Tom, I think that 269 00:13:19,280 --> 00:13:21,120 Speaker 1: in six to nine months we're going to be having 270 00:13:21,120 --> 00:13:25,040 Speaker 1: a very different conversation around inflation and demand. Demand will 271 00:13:25,080 --> 00:13:27,360 Speaker 1: be weakening over the course of this year. I think 272 00:13:27,400 --> 00:13:30,480 Speaker 1: supply chain constraints should start to ease over the course 273 00:13:30,520 --> 00:13:33,400 Speaker 1: of this year, and the supply of labor should also 274 00:13:33,440 --> 00:13:36,720 Speaker 1: start to ease as the virus abates. Now that's assuming 275 00:13:36,760 --> 00:13:40,880 Speaker 1: there aren't more variants, and certainly not more deadly variants. 276 00:13:40,880 --> 00:13:44,280 Speaker 1: But as we move through this omicron weave, I think 277 00:13:44,320 --> 00:13:46,960 Speaker 1: that a lot of workers will jump back into the workforce. 278 00:13:47,000 --> 00:13:49,120 Speaker 1: Those who are staying home either because they're sick or 279 00:13:49,160 --> 00:13:52,040 Speaker 1: they're taking care of someone who's sick, those who haven't 280 00:13:52,080 --> 00:13:55,040 Speaker 1: gone back into employment from retirement because of concerns of 281 00:13:55,160 --> 00:13:58,240 Speaker 1: being sick, and those who have had a financial cushion 282 00:13:58,800 --> 00:14:01,080 Speaker 1: uh and so have stayed out of the labor market 283 00:14:01,120 --> 00:14:03,160 Speaker 1: but or have burned through them. We'll have to jump 284 00:14:03,160 --> 00:14:04,959 Speaker 1: into the labor market as well, and I think that 285 00:14:05,000 --> 00:14:07,120 Speaker 1: will take a lot of upper pressure off of wages 286 00:14:07,559 --> 00:14:10,520 Speaker 1: and therefore off inflation too. So you know, it just 287 00:14:10,559 --> 00:14:13,320 Speaker 1: seems like a competition to see who can get more 288 00:14:13,360 --> 00:14:16,000 Speaker 1: hawkish about the FITS path going forward. At the moment, 289 00:14:16,360 --> 00:14:18,960 Speaker 1: I think that conversation should change towards the second half 290 00:14:18,960 --> 00:14:21,640 Speaker 1: of this year. This does feel, though, again like a 291 00:14:21,640 --> 00:14:23,960 Speaker 1: pivot point, and I talk about not just whether people 292 00:14:24,000 --> 00:14:26,280 Speaker 1: come back to jobs, but which jobs they come back to. 293 00:14:26,680 --> 00:14:28,800 Speaker 1: I've seen a number of surveys showing that people in 294 00:14:28,840 --> 00:14:31,760 Speaker 1: manufacturing jobs are looking for office jobs, are looking to 295 00:14:31,760 --> 00:14:34,720 Speaker 1: get retrained, want that flexibility to work from home. You've 296 00:14:34,760 --> 00:14:37,720 Speaker 1: seen a complete sea change in terms of healthcare and education. 297 00:14:37,880 --> 00:14:41,040 Speaker 1: How much will that increase wages in those less love 298 00:14:41,080 --> 00:14:43,760 Speaker 1: professions now that really got hit the hardest and more 299 00:14:43,760 --> 00:14:47,000 Speaker 1: at the forefront of the pandemic. Yeah, I think you're right. 300 00:14:47,000 --> 00:14:50,960 Speaker 1: People don't want hourly services jobs, their low wage, low 301 00:14:51,000 --> 00:14:54,000 Speaker 1: hour jobs. People I think have been holding out based 302 00:14:54,040 --> 00:14:57,040 Speaker 1: on the financial cushion they have received from stimulus measures 303 00:14:57,320 --> 00:14:59,680 Speaker 1: and to avoid going back into them. But it's some 304 00:15:00,000 --> 00:15:02,480 Speaker 1: point there's going to have to be some capitulation, and 305 00:15:02,560 --> 00:15:05,360 Speaker 1: so I do think those jobs will be filled again. Also, 306 00:15:05,480 --> 00:15:08,560 Speaker 1: something worth mentioning is that immigration is massively down over 307 00:15:08,600 --> 00:15:10,160 Speaker 1: the past two years, and it was a lot of 308 00:15:10,160 --> 00:15:13,920 Speaker 1: foreign born workers who were also filling those jobs. Going forward, 309 00:15:14,000 --> 00:15:15,880 Speaker 1: that should abate now that we don't have the same 310 00:15:15,960 --> 00:15:19,520 Speaker 1: kind of travel restrictions that we had before. Biden's proposed 311 00:15:19,840 --> 00:15:23,560 Speaker 1: some easing of immigration restrictions, and so those hourly services 312 00:15:23,640 --> 00:15:26,720 Speaker 1: jobs should see some wage games. It's the worker bees, 313 00:15:26,760 --> 00:15:29,840 Speaker 1: the non supervisory workers who are actually seeing the greatest 314 00:15:29,840 --> 00:15:33,400 Speaker 1: wage games right now, and that should spread into uh, 315 00:15:33,600 --> 00:15:36,240 Speaker 1: you know, leisure restaurants and bars as well well. Meggan, 316 00:15:36,280 --> 00:15:38,040 Speaker 1: That's what I was gonna gonna say, you are, We're 317 00:15:38,040 --> 00:15:40,880 Speaker 1: going to see outsized increases in some of these areas 318 00:15:41,200 --> 00:15:43,640 Speaker 1: where people have to be enticed back away from the 319 00:15:43,680 --> 00:15:46,000 Speaker 1: cushion that they're depleting in order to not have to 320 00:15:46,000 --> 00:15:49,520 Speaker 1: go to work there. So I think wages have already 321 00:15:49,600 --> 00:15:53,000 Speaker 1: risen quite a lot, and so as low income households 322 00:15:53,000 --> 00:15:56,680 Speaker 1: in particular burn through their financial cushion the fastest, as 323 00:15:56,720 --> 00:15:59,480 Speaker 1: that cushion evaporates, I think the wage gains that we've 324 00:15:59,480 --> 00:16:02,440 Speaker 1: seen will entice them back into the labor force. So 325 00:16:02,680 --> 00:16:06,120 Speaker 1: I think that the supply side issue will probably a bit. 326 00:16:06,200 --> 00:16:08,840 Speaker 1: I mean, the best cure for high wages is high 327 00:16:08,880 --> 00:16:11,680 Speaker 1: wages because people get pulled back into the labor force, 328 00:16:11,760 --> 00:16:15,680 Speaker 1: and particularly once this wave starts to abate, it already 329 00:16:15,680 --> 00:16:18,280 Speaker 1: has to some degree. I think we'll see the labor 330 00:16:18,320 --> 00:16:21,560 Speaker 1: supply shortages as well. Megan, can you just help me 331 00:16:21,800 --> 00:16:23,840 Speaker 1: in understanding how some of the data on Friday will 332 00:16:23,880 --> 00:16:25,800 Speaker 1: be put together, how it has been put together the 333 00:16:25,800 --> 00:16:27,880 Speaker 1: perfect guests to do this. Just got this note from 334 00:16:27,920 --> 00:16:29,760 Speaker 1: Cantile Economics. It's going to share it with our audience 335 00:16:29,800 --> 00:16:32,960 Speaker 1: just quickly. Because the ADP figures count everybody on payroll 336 00:16:33,000 --> 00:16:35,640 Speaker 1: as employed, regardless of whether they worked or not, they 337 00:16:35,680 --> 00:16:37,960 Speaker 1: do not capture the full hit from the omicron related 338 00:16:37,960 --> 00:16:40,200 Speaker 1: search and absentee is UM. They go on to say, 339 00:16:40,360 --> 00:16:43,360 Speaker 1: with an estimated five million Americans isolating mid month, we 340 00:16:43,400 --> 00:16:45,640 Speaker 1: suspect close to half a million of those won't have 341 00:16:45,760 --> 00:16:50,080 Speaker 1: been paid at all during the survey period, which wasn't 342 00:16:50,120 --> 00:16:53,280 Speaker 1: captured in the ADP figures, but will show up in 343 00:16:53,360 --> 00:16:56,520 Speaker 1: non farm payrolls. Megan, can you just explain the technical 344 00:16:56,880 --> 00:16:59,120 Speaker 1: situation around how this data is put together and how 345 00:16:59,160 --> 00:17:02,320 Speaker 1: it might show up on for day. Yeah, so that's 346 00:17:02,400 --> 00:17:05,560 Speaker 1: right there. ADP is often not a great indicator of 347 00:17:05,600 --> 00:17:08,320 Speaker 1: how the nonfarm payrolls will go though the direction of 348 00:17:08,359 --> 00:17:11,880 Speaker 1: travel seems to be correct or similar in both these cases. 349 00:17:11,920 --> 00:17:15,920 Speaker 1: Assuming that we get a disappointing headline figure for tomorrow, 350 00:17:15,960 --> 00:17:18,879 Speaker 1: but it is down to classifications and so a number 351 00:17:18,880 --> 00:17:21,280 Speaker 1: of people weren't able to go to work either because 352 00:17:21,280 --> 00:17:24,600 Speaker 1: they had symptoms of omicron or they had omicron, and 353 00:17:24,640 --> 00:17:27,040 Speaker 1: they won't have received a paycheck, and so that doesn't 354 00:17:27,080 --> 00:17:29,480 Speaker 1: show up in the ADP data, which is only people 355 00:17:29,480 --> 00:17:32,000 Speaker 1: who are receiving paychecks, but that will show up in 356 00:17:32,000 --> 00:17:34,280 Speaker 1: the non farm payrolls data. Megan, I want to go 357 00:17:34,560 --> 00:17:37,280 Speaker 1: the Transatlantic Act with you, and right now what we're 358 00:17:37,280 --> 00:17:40,520 Speaker 1: seeing is maybe a yield structure in America that migrates 359 00:17:40,600 --> 00:17:44,200 Speaker 1: higher and a europe yield structure which some would say 360 00:17:44,280 --> 00:17:46,920 Speaker 1: stays where it is, maybe even with negative interest rates. 361 00:17:47,560 --> 00:17:50,440 Speaker 1: What is the outcome for our viewers and listeners of 362 00:17:50,560 --> 00:17:55,520 Speaker 1: such a spread, a difference in yield across the pond. Well, 363 00:17:55,520 --> 00:17:59,840 Speaker 1: we're seeing monetary policy divergence, which should put yields up 364 00:18:00,000 --> 00:18:03,280 Speaker 1: in the US, particularly at the short end um. Whereas 365 00:18:03,320 --> 00:18:06,720 Speaker 1: the ECB, you know, investors have started to price in 366 00:18:06,880 --> 00:18:10,320 Speaker 1: hikes for this year, but at a much more gradual 367 00:18:10,440 --> 00:18:12,720 Speaker 1: rate than what we're seeing in the US. And that 368 00:18:12,760 --> 00:18:16,280 Speaker 1: means that you know, you'll still be facing negative yields 369 00:18:16,320 --> 00:18:19,040 Speaker 1: in Europe, whereas there will be much more positive yields now. 370 00:18:19,080 --> 00:18:21,399 Speaker 1: I don't think the long end will go up significantly 371 00:18:21,400 --> 00:18:24,160 Speaker 1: in the US. I've been asked why would anyone by 372 00:18:24,640 --> 00:18:28,439 Speaker 1: a tenure government bond with a two yield um, And 373 00:18:28,440 --> 00:18:31,119 Speaker 1: it's because you could go elsewhere Europe, Japan and it 374 00:18:31,160 --> 00:18:34,920 Speaker 1: will be negative. So you know, the US Treasury ends 375 00:18:34,960 --> 00:18:37,920 Speaker 1: up being a cleanert shirt in the dirty laundry basket 376 00:18:38,280 --> 00:18:40,800 Speaker 1: like green waterful as all whites with your experience sound 377 00:18:40,800 --> 00:18:43,320 Speaker 1: of Europe too. At the Crawl Institute and the Harvard 378 00:18:43,400 --> 00:18:53,520 Speaker 1: Kennedy School, Evan Brown joined US now multi Asset Strategy 379 00:18:53,560 --> 00:18:56,399 Speaker 1: has an ups asset management. I want to ask you 380 00:18:56,440 --> 00:18:58,920 Speaker 1: that question, Evan, don't worry I'm gonna wash you about 381 00:18:58,960 --> 00:19:00,440 Speaker 1: the note that you wrote with Luke. What I thought 382 00:19:00,480 --> 00:19:04,520 Speaker 1: was fantastic. What we've seen is evaluation centric adjustment. You 383 00:19:04,560 --> 00:19:06,479 Speaker 1: don't think it's a growth scare. How do you draw 384 00:19:06,480 --> 00:19:10,199 Speaker 1: a distinction between the two, Evan, Well, I mean a 385 00:19:10,240 --> 00:19:13,560 Speaker 1: lot of it is just looking at prices cross asset 386 00:19:13,720 --> 00:19:15,879 Speaker 1: and if it was really a growth scare. You'd expect 387 00:19:15,880 --> 00:19:18,119 Speaker 1: to see were widening in credit, which we just have 388 00:19:18,280 --> 00:19:22,480 Speaker 1: not gotten. You wouldn't expect to see e M outperforming, 389 00:19:22,640 --> 00:19:25,920 Speaker 1: which is what we've gotten. So we look cross asset 390 00:19:26,000 --> 00:19:29,119 Speaker 1: oil to holding up really well and uh, and so 391 00:19:29,160 --> 00:19:30,639 Speaker 1: we don't see it in price. But also it just 392 00:19:30,680 --> 00:19:33,480 Speaker 1: doesn't really make a lot of sense economically when you 393 00:19:33,520 --> 00:19:37,679 Speaker 1: have income growth almost double what it was last cycle. 394 00:19:38,240 --> 00:19:41,320 Speaker 1: So it's still strong economy, still strong nominal GDP. And 395 00:19:41,400 --> 00:19:44,600 Speaker 1: as Powell said last week, we're in a different cycle 396 00:19:44,680 --> 00:19:46,639 Speaker 1: than the last one. Well, let's sit on the valuation 397 00:19:46,680 --> 00:19:49,080 Speaker 1: scare for a minute, Evan, How do we determine what 398 00:19:49,200 --> 00:19:51,920 Speaker 1: the scare should be in terms of what real rates 399 00:19:51,920 --> 00:19:54,520 Speaker 1: are going to be with a FED action and and 400 00:19:54,560 --> 00:19:56,600 Speaker 1: sort of how do you game that out with respect 401 00:19:56,720 --> 00:20:01,240 Speaker 1: to what's already happened in markets? Yeah, so I think, uh, 402 00:20:00,880 --> 00:20:03,000 Speaker 1: I think the first of all, the point is that 403 00:20:03,080 --> 00:20:06,480 Speaker 1: the FED wanted this right. They want a tightening of 404 00:20:06,520 --> 00:20:09,720 Speaker 1: financial conditions in their view, is a way that's going 405 00:20:09,760 --> 00:20:13,560 Speaker 1: to cool inflation down the road and extend the cycle. Now, 406 00:20:14,240 --> 00:20:16,440 Speaker 1: you know, it's up to them to decide how much 407 00:20:16,560 --> 00:20:19,399 Speaker 1: we you know, we saw quite a hawkish FED. But 408 00:20:19,440 --> 00:20:21,760 Speaker 1: then now you're seeing a parade of FED speakers this 409 00:20:21,760 --> 00:20:23,639 Speaker 1: week saying, hey, we're not going to do fifty basis 410 00:20:23,640 --> 00:20:28,040 Speaker 1: points at the next FED meeting in March. So um, 411 00:20:28,119 --> 00:20:30,280 Speaker 1: you know, it's a it's a dance between the FED 412 00:20:30,480 --> 00:20:33,959 Speaker 1: and markets. I think the frothier areas of the market 413 00:20:34,040 --> 00:20:37,760 Speaker 1: will continue to have headwinds, you know, unprofitable tech, these 414 00:20:37,840 --> 00:20:40,679 Speaker 1: kind of things. But the more cyclical areas of the market, 415 00:20:40,880 --> 00:20:44,640 Speaker 1: I think we're unfairly punished in UH in this more 416 00:20:44,640 --> 00:20:47,240 Speaker 1: recent sell up, and those are going to be the 417 00:20:47,280 --> 00:20:50,119 Speaker 1: big gainers over the coming weeks and months. Kevan, what 418 00:20:50,160 --> 00:20:54,000 Speaker 1: do your analysts say about the ability of corporations to 419 00:20:54,119 --> 00:20:58,080 Speaker 1: adapt to sustain margin? The first thing I did yesterday 420 00:20:58,080 --> 00:21:00,159 Speaker 1: with Google is go to look at the margin. Then 421 00:21:00,200 --> 00:21:03,000 Speaker 1: it was a fractional lift off the parlor game of 422 00:21:03,080 --> 00:21:06,879 Speaker 1: guessing margin. But what you know, sector to sector, the 423 00:21:06,920 --> 00:21:10,280 Speaker 1: two analysts you've got it ubs, what do they say 424 00:21:10,359 --> 00:21:15,840 Speaker 1: about the ability to sustain margin? I mean, margins are 425 00:21:15,840 --> 00:21:19,480 Speaker 1: fine in the data. We don't quite have what we've 426 00:21:19,520 --> 00:21:22,040 Speaker 1: seen over the over the last couple of years, but 427 00:21:22,240 --> 00:21:25,800 Speaker 1: so there's some moderation there. But overall, the message that 428 00:21:25,840 --> 00:21:29,800 Speaker 1: we're getting from corporates, is is really strong pricing power. Uh. 429 00:21:29,840 --> 00:21:33,120 Speaker 1: And so we just look at the data and yes, 430 00:21:33,160 --> 00:21:37,159 Speaker 1: the analysts internally and we just even with higher wages, 431 00:21:37,200 --> 00:21:38,920 Speaker 1: we see that higher pricing power. So it just does 432 00:21:38,960 --> 00:21:41,240 Speaker 1: not appear to be a major concern at this point. Evan, 433 00:21:41,240 --> 00:21:42,439 Speaker 1: where are you in the team on the rest of 434 00:21:42,440 --> 00:21:44,440 Speaker 1: the world at the moment. Big surprise for some people 435 00:21:44,480 --> 00:21:46,080 Speaker 1: through the first month of the year was the relative 436 00:21:46,119 --> 00:21:48,960 Speaker 1: at performance of site emerging markets. It's not something you 437 00:21:49,000 --> 00:21:53,560 Speaker 1: think can persist. I think it can. Actually we have 438 00:21:53,680 --> 00:21:57,199 Speaker 1: the difference between this year and last year. Is China's easy, right, 439 00:21:57,760 --> 00:21:59,560 Speaker 1: We're not going to see the boom and credit growth 440 00:21:59,560 --> 00:22:01,880 Speaker 1: that we got the previous cycle, those boom bus periods, 441 00:22:01,920 --> 00:22:05,439 Speaker 1: but they've put a floor on GDP growth and that 442 00:22:05,480 --> 00:22:08,959 Speaker 1: has implications for the rest of the world. So emerging 443 00:22:09,000 --> 00:22:10,840 Speaker 1: markets I think can have a better year. We think 444 00:22:10,840 --> 00:22:13,760 Speaker 1: the dollar is kind of weekends from here at least 445 00:22:13,760 --> 00:22:17,159 Speaker 1: stops strengthening. Uh. Europe, I think we'll look back on 446 00:22:17,240 --> 00:22:20,760 Speaker 1: two and say this was Europe's year. It's not just 447 00:22:20,840 --> 00:22:24,719 Speaker 1: the solid global growth outlook, but got all the green spending, 448 00:22:24,760 --> 00:22:28,800 Speaker 1: You've got more political cohesion. Certainly than we saw last 449 00:22:28,840 --> 00:22:32,360 Speaker 1: highcle and you've got really strong balance sheets and you've 450 00:22:32,400 --> 00:22:35,119 Speaker 1: got inflation right and that should put upward pressure on 451 00:22:35,119 --> 00:22:38,480 Speaker 1: on yield um and higher yields is good for financials. 452 00:22:38,520 --> 00:22:41,040 Speaker 1: So so I we really like the rest of the world, 453 00:22:41,040 --> 00:22:42,480 Speaker 1: and we think the rest of the world will will 454 00:22:42,480 --> 00:22:45,560 Speaker 1: outperform the US for the first time in a while 455 00:22:46,040 --> 00:22:48,520 Speaker 1: this UH, this year high year. It's haven't helped out 456 00:22:48,560 --> 00:22:51,119 Speaker 1: the US banks in a big white yea today, Evan, 457 00:22:51,640 --> 00:22:54,240 Speaker 1: do you have more confidence they will in say, you're 458 00:22:54,440 --> 00:22:58,240 Speaker 1: relative to what we've seen in the US. Well, I 459 00:22:58,240 --> 00:23:01,159 Speaker 1: think there's a bigger valuation just count and UH in 460 00:23:01,240 --> 00:23:04,680 Speaker 1: European banks not I think I know and UH and 461 00:23:04,680 --> 00:23:06,960 Speaker 1: and also you know you have more room. I think 462 00:23:07,040 --> 00:23:11,480 Speaker 1: the boon yield at zero percent that is extraordinarily low. 463 00:23:11,520 --> 00:23:13,399 Speaker 1: We all we all know the presence of the central 464 00:23:13,440 --> 00:23:16,720 Speaker 1: bank there and and down beat whether down beat whether 465 00:23:16,840 --> 00:23:21,240 Speaker 1: Europe and and UH Europe can sustain growth and inflation 466 00:23:21,359 --> 00:23:24,639 Speaker 1: over the over the medium term. But the valuation story 467 00:23:24,720 --> 00:23:26,919 Speaker 1: is there, there's a lot more room and UH in 468 00:23:26,920 --> 00:23:30,600 Speaker 1: boone yields to to reprice, which should help European banks 469 00:23:31,040 --> 00:23:33,000 Speaker 1: and UH and you know, it's a really it's a 470 00:23:33,000 --> 00:23:35,520 Speaker 1: really positive story. We're seeing it in the earnings as well. Evan, 471 00:23:35,560 --> 00:23:37,639 Speaker 1: Thank you, buddy, send down best to the team until too, 472 00:23:37,640 --> 00:23:47,560 Speaker 1: He's going to catch right now. And a broader conversation 473 00:23:47,640 --> 00:23:51,040 Speaker 1: with Michael Nathanson. You've seen him quoted everywhere. Is he 474 00:23:51,080 --> 00:23:55,119 Speaker 1: deservedly should be since is a senior research analyst at Moffatt, 475 00:23:55,200 --> 00:23:59,280 Speaker 1: Nathanson barely describes the fact he owns a phrase, content 476 00:23:59,520 --> 00:24:03,080 Speaker 1: is king. Michael, I want to go to Apple developing 477 00:24:03,119 --> 00:24:08,760 Speaker 1: five fifty thousand, almost ten football fields of square feet 478 00:24:08,960 --> 00:24:12,199 Speaker 1: in Culver City out by Irvine. You know there this 479 00:24:12,320 --> 00:24:16,639 Speaker 1: gigantic plant, our Google, our Apple. Are they gonna take 480 00:24:16,720 --> 00:24:22,640 Speaker 1: over everything? Um? It depends on which business we're talking about, Tom, 481 00:24:22,680 --> 00:24:26,720 Speaker 1: I would say Apple and video probably not Google and 482 00:24:26,760 --> 00:24:31,960 Speaker 1: advertising probably yes. Um, but Apple doesn't need to dominate video. 483 00:24:32,000 --> 00:24:34,199 Speaker 1: They've done great on their own. But you know, the 484 00:24:34,280 --> 00:24:37,240 Speaker 1: Google print to me is just it's mind blowingly good 485 00:24:37,359 --> 00:24:39,560 Speaker 1: when you think about how large that company is and 486 00:24:39,560 --> 00:24:42,440 Speaker 1: how fast they're growing. We have heard from day one 487 00:24:42,880 --> 00:24:45,760 Speaker 1: day Google went public that there was a constraint on search. 488 00:24:45,920 --> 00:24:50,240 Speaker 1: Everyone including me, has been wrong. What's your terminal? What's 489 00:24:50,280 --> 00:24:53,760 Speaker 1: the X axis of your terminal value. When you look 490 00:24:53,800 --> 00:24:59,400 Speaker 1: at search, do you go out five years or fifteen years? Yeah, Tom, 491 00:24:59,440 --> 00:25:03,520 Speaker 1: that's a that's the point, right that everyone fades growth 492 00:25:03,800 --> 00:25:06,360 Speaker 1: on search to like mid single digits, we go out 493 00:25:06,600 --> 00:25:09,640 Speaker 1: fifteen years on it. Because what is happening, Because big 494 00:25:09,680 --> 00:25:13,160 Speaker 1: picture search is getting more valuable in the world as 495 00:25:13,760 --> 00:25:17,240 Speaker 1: many of us stopped watching linear TV, as Apple has 496 00:25:17,280 --> 00:25:21,040 Speaker 1: put up blockers on you know, for privacy, searches goes 497 00:25:21,119 --> 00:25:24,200 Speaker 1: up in value because we're giving people intention right when 498 00:25:24,280 --> 00:25:26,479 Speaker 1: when you when you search, you're telling people what you 499 00:25:26,520 --> 00:25:29,639 Speaker 1: want to see, and that is a perfect lead for advertiser. 500 00:25:29,720 --> 00:25:33,919 Speaker 1: So that's been our thesis that people underestimate search and 501 00:25:34,119 --> 00:25:37,680 Speaker 1: just a long cycle of growth here. And that's that's 502 00:25:37,680 --> 00:25:41,560 Speaker 1: the essence of the call on Google better than you think, Michael. 503 00:25:41,560 --> 00:25:44,399 Speaker 1: Do you think that this reduces the emphasis on diversification 504 00:25:44,440 --> 00:25:45,960 Speaker 1: that a lot of people are looking for with the 505 00:25:46,000 --> 00:25:51,479 Speaker 1: cloud with YouTube, which actually disappointed you know, It's funny 506 00:25:51,560 --> 00:25:54,120 Speaker 1: because list, when we look at the stock, you don't 507 00:25:54,200 --> 00:25:56,560 Speaker 1: need divertification for the stock to work. We just look 508 00:25:56,600 --> 00:26:01,639 Speaker 1: at the core ad business. But I think in Google's world, 509 00:26:01,920 --> 00:26:04,560 Speaker 1: they have so much talent in terms of technology talent, 510 00:26:04,960 --> 00:26:08,399 Speaker 1: they have, so they have an incredible advantage of machine learning. 511 00:26:09,000 --> 00:26:11,639 Speaker 1: They'd be foolish not to take that and lean into 512 00:26:11,680 --> 00:26:14,240 Speaker 1: other businesses. So, um, we're not giving them a lot 513 00:26:14,280 --> 00:26:18,040 Speaker 1: of credit for Google Cloud or other beds. But YouTube 514 00:26:18,040 --> 00:26:22,000 Speaker 1: in our world, you know, is really underappreciated asset. Again, 515 00:26:22,080 --> 00:26:24,800 Speaker 1: going back to the big picture, it's rising in value, 516 00:26:24,880 --> 00:26:28,240 Speaker 1: so we don't underestimate YouTube. So YouTube and search alone 517 00:26:28,480 --> 00:26:31,200 Speaker 1: gives upside for the stock without the other thing is 518 00:26:31,240 --> 00:26:33,600 Speaker 1: really kicking in, Michael, how much is Google and anomaly 519 00:26:33,640 --> 00:26:36,199 Speaker 1: and sort of an idiosyncratic story of incredible strength and 520 00:26:36,240 --> 00:26:40,560 Speaker 1: dominance versus a representation of an economy that's really recovering 521 00:26:40,800 --> 00:26:44,080 Speaker 1: with advertising spending going up so much, even without travel 522 00:26:44,080 --> 00:26:48,040 Speaker 1: picking back up to pre pandemic levels. Yeah, that's that's 523 00:26:48,040 --> 00:26:51,600 Speaker 1: a great question. I think it is idiostocratic because of 524 00:26:51,680 --> 00:26:55,000 Speaker 1: searches value in the world and YouTube. When we wrap 525 00:26:55,080 --> 00:26:58,040 Speaker 1: up earning season for media and you know and other 526 00:26:58,080 --> 00:27:00,680 Speaker 1: small small add companies will not grow nearly this fast 527 00:27:00,680 --> 00:27:04,080 Speaker 1: and they'll have problems with structural headwinds here and Google 528 00:27:04,080 --> 00:27:06,760 Speaker 1: has a tailwind that is, you need to Google, Michael, 529 00:27:06,760 --> 00:27:09,399 Speaker 1: what are you doing, Craig think you yesterday of a 530 00:27:09,600 --> 00:27:12,760 Speaker 1: t n T doing a ballet from fifteen billions spent 531 00:27:12,880 --> 00:27:16,840 Speaker 1: on dividends to a model nine billion. Oh no, we're 532 00:27:16,840 --> 00:27:18,680 Speaker 1: not going to do that. We're gonna do eight billion. 533 00:27:18,720 --> 00:27:21,280 Speaker 1: I believe the stock was down six percent, don't you know. 534 00:27:21,280 --> 00:27:24,480 Speaker 1: I believe that was the number. What does it say 535 00:27:24,560 --> 00:27:30,240 Speaker 1: about escapades in entertainment? Right, Well, Craig is here, he 536 00:27:30,280 --> 00:27:33,000 Speaker 1: would take a bow because of the past five years 537 00:27:33,000 --> 00:27:36,919 Speaker 1: he's been saying t T can't sustain the dividend. It 538 00:27:37,080 --> 00:27:40,920 Speaker 1: says that, um, the cost of competing and streaming is 539 00:27:40,960 --> 00:27:43,920 Speaker 1: incredibly high. That's been our call on streaming, and you know, 540 00:27:44,440 --> 00:27:47,399 Speaker 1: and it says in the telecom world the cost to 541 00:27:47,400 --> 00:27:49,600 Speaker 1: compete there is and probably high too because all the 542 00:27:49,600 --> 00:27:53,560 Speaker 1: promotional activities being done because the five G build out. Um, 543 00:27:53,600 --> 00:27:56,119 Speaker 1: you know, these businesses are a lot more challenging than 544 00:27:56,200 --> 00:27:58,560 Speaker 1: I think the market thinks. And again it's easy when 545 00:27:58,560 --> 00:28:00,200 Speaker 1: you look at Google to say that's where you want 546 00:28:00,200 --> 00:28:03,440 Speaker 1: to be. You know, we're we're relatively negative on streaming. 547 00:28:03,440 --> 00:28:06,840 Speaker 1: We're they're pivoting out away from and telecom as well 548 00:28:06,840 --> 00:28:09,399 Speaker 1: in terms of mobile telecom. Michael, just a final question 549 00:28:09,440 --> 00:28:11,480 Speaker 1: from me. I think it's important not to let moments 550 00:28:11,480 --> 00:28:14,840 Speaker 1: like this slip or slide. This is a one point 551 00:28:14,840 --> 00:28:17,760 Speaker 1: a trillly in dollar name moving ten percent. Michael, what 552 00:28:17,800 --> 00:28:20,720 Speaker 1: do you make of that? Multi trillon dollar names moving 553 00:28:21,320 --> 00:28:26,040 Speaker 1: this much? These are huge amounts of money. Well, Jonathan, 554 00:28:26,400 --> 00:28:29,439 Speaker 1: they grew their revenue, they grew their top linet. Just 555 00:28:30,880 --> 00:28:34,000 Speaker 1: search has been around for twenty years, right, Search grew 556 00:28:34,080 --> 00:28:37,040 Speaker 1: faster than YouTube this quarter. Um and again, if you 557 00:28:37,080 --> 00:28:39,680 Speaker 1: stop back and think about what we learned this pandemic, 558 00:28:40,400 --> 00:28:43,960 Speaker 1: this is about digital transformations and Google has the best 559 00:28:43,960 --> 00:28:48,360 Speaker 1: position in advertising because of what advertisers need to do. 560 00:28:48,400 --> 00:28:51,520 Speaker 1: They need to pivot to search and need pivot to YouTube. 561 00:28:51,560 --> 00:28:54,120 Speaker 1: And even though this has been around forever, the transformation 562 00:28:54,160 --> 00:28:57,360 Speaker 1: of the pandemic has accelerated budgets. And I agree. When 563 00:28:57,360 --> 00:28:59,080 Speaker 1: I first started covering, I'm like, this cannot be as 564 00:28:59,080 --> 00:29:02,640 Speaker 1: good as it looks. And now six years later, they 565 00:29:02,760 --> 00:29:06,240 Speaker 1: keep going. They really do just phenomenal. Michael. We appreciate 566 00:29:06,280 --> 00:29:08,520 Speaker 1: you support on this program and your contribution this morning, 567 00:29:08,520 --> 00:29:10,880 Speaker 1: as always said, thank you, Mite, Michael Nathan said of 568 00:29:11,000 --> 00:29:15,800 Speaker 1: Moffatt Nisenson. This is the Bloomberg Surveillance Podcast. Thanks for listening. 569 00:29:16,160 --> 00:29:19,480 Speaker 1: Join us live weekdays from seven to ten am Eastern 570 00:29:19,720 --> 00:29:23,760 Speaker 1: on Bloomberg Radio and on Bloomberg Television each day from 571 00:29:23,840 --> 00:29:29,080 Speaker 1: six to nine am for insight from the best in economics, finance, investment, 572 00:29:29,240 --> 00:29:34,240 Speaker 1: and international relations. And subscribe to the Surveillance podcast on 573 00:29:34,360 --> 00:29:38,160 Speaker 1: Apple podcast, SoundCloud, Bloomberg dot com, and of course, on 574 00:29:38,280 --> 00:29:42,400 Speaker 1: the terminal. I'm Tom Keene, and this is Bloomberg