1 00:00:02,920 --> 00:00:10,840 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,840 --> 00:00:14,960 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:15,040 --> 00:00:17,520 Speaker 1: Eastern on Apple car Playing and broud Otto with the 4 00:00:17,520 --> 00:00:21,439 Speaker 1: Bloomberg Business app. Listen on demand wherever you get your podcasts, 5 00:00:21,640 --> 00:00:25,000 Speaker 1: or watch us live on YouTube. 6 00:00:25,120 --> 00:00:29,400 Speaker 2: Apple China iPhone sales dive nineteen percent in the worst 7 00:00:29,560 --> 00:00:33,200 Speaker 2: quarter since twenty twenty. And this is a big issue 8 00:00:33,200 --> 00:00:36,519 Speaker 2: because we know that China represents approximately twenty percent of 9 00:00:36,560 --> 00:00:40,240 Speaker 2: the sales for Apple. It's obviously critical to their supply chain. 10 00:00:40,320 --> 00:00:42,360 Speaker 2: So if there's one company that at least in my 11 00:00:42,479 --> 00:00:46,640 Speaker 2: mind that has quote unquote China risk associated with it, 12 00:00:46,320 --> 00:00:49,000 Speaker 2: it's it's Apple. Man Deep Singh joins us here. He's 13 00:00:49,000 --> 00:00:51,640 Speaker 2: a senior technolog channels for Bloomberg Intelligence. He joins us 14 00:00:51,640 --> 00:00:55,640 Speaker 2: here in our New York City studio. So mandeb Apple 15 00:00:56,040 --> 00:00:59,520 Speaker 2: China iPhone sales dive nineteen percent in the first quarter, 16 00:00:59,600 --> 00:01:02,600 Speaker 2: the worst twenty what's your takeaway there? 17 00:01:02,960 --> 00:01:06,120 Speaker 3: I mean, it's not new news, so we knew this 18 00:01:06,360 --> 00:01:09,800 Speaker 3: was coming. There was some counterpoint data I think last 19 00:01:09,840 --> 00:01:14,520 Speaker 3: month that their March sales were pretty bad, so expected, 20 00:01:14,640 --> 00:01:18,000 Speaker 3: but it kind of solid Desfies the point that you know, 21 00:01:18,240 --> 00:01:22,480 Speaker 3: the China weakness is playing out much worse than what 22 00:01:22,680 --> 00:01:27,959 Speaker 3: people expected, and the China revenue probably is gonna be 23 00:01:28,200 --> 00:01:32,280 Speaker 3: like this for the foreseeable future unless something changes at 24 00:01:32,360 --> 00:01:36,280 Speaker 3: the geopolitical level, or Apple launches a new device that 25 00:01:36,480 --> 00:01:39,800 Speaker 3: everyone wants, that latest iPhone that everyone would want. But 26 00:01:39,880 --> 00:01:43,520 Speaker 3: for now, Huawei and the domestic competitors seemed to be 27 00:01:43,640 --> 00:01:46,720 Speaker 3: catching up in terms of features, and that's enough to 28 00:01:46,760 --> 00:01:48,400 Speaker 3: take the share in the domestic market. 29 00:01:48,560 --> 00:01:53,240 Speaker 4: So this is a story then of consumer shifting to competitors, 30 00:01:53,520 --> 00:01:56,680 Speaker 4: or is it just that demand for phones is down 31 00:01:56,720 --> 00:01:59,960 Speaker 4: because there's some macro weakness in the Chinese consumer. 32 00:02:00,000 --> 00:02:02,480 Speaker 3: Think There is a policy element to it as well, 33 00:02:02,560 --> 00:02:06,720 Speaker 3: so obviously a lot is kind of driven by what 34 00:02:07,040 --> 00:02:10,040 Speaker 3: is done at the government level. First they banned the 35 00:02:10,160 --> 00:02:13,640 Speaker 3: use of iPhones, and now they're making sure that the 36 00:02:13,720 --> 00:02:17,400 Speaker 3: domestic vendors have a good chance of taking share. And 37 00:02:17,520 --> 00:02:21,120 Speaker 3: because the phone is comparable in features, then I guess 38 00:02:21,160 --> 00:02:24,360 Speaker 3: the Apple lock in that everyone thought was so strong 39 00:02:24,400 --> 00:02:27,440 Speaker 3: that you just can't get out of your iOS isn't 40 00:02:27,520 --> 00:02:31,639 Speaker 3: really helping or like in this case, and they are 41 00:02:31,720 --> 00:02:35,559 Speaker 3: able to kind of move out of the iOS ecosystem 42 00:02:35,600 --> 00:02:37,120 Speaker 3: and you start using this new phone. 43 00:02:37,520 --> 00:02:42,280 Speaker 2: What's Apple say about their position in China? What they 44 00:02:42,400 --> 00:02:44,560 Speaker 2: may need to do to regain momentum. Do they have 45 00:02:44,639 --> 00:02:46,920 Speaker 2: any strategy they've articulated. 46 00:02:47,080 --> 00:02:49,239 Speaker 3: I mean, look, they are having an event on May 47 00:02:49,320 --> 00:02:52,959 Speaker 3: seventh where they're launching a new iPad lineup. There will 48 00:02:53,000 --> 00:02:56,520 Speaker 3: be something very similar for the iPhone. They will launch 49 00:02:56,520 --> 00:02:59,919 Speaker 3: a new device with AI capabilities. So their play is, 50 00:03:00,480 --> 00:03:03,880 Speaker 3: we will launch a new phone, a new tablet with 51 00:03:04,080 --> 00:03:08,400 Speaker 3: AI capabilities that everyone is looking for, and hopefully that 52 00:03:08,480 --> 00:03:09,800 Speaker 3: drives the refreshed cycle. 53 00:03:10,480 --> 00:03:13,920 Speaker 4: And how does the slumping demand in China compare to 54 00:03:14,680 --> 00:03:17,800 Speaker 4: the US demand? Because I have to admit a lot 55 00:03:17,800 --> 00:03:20,880 Speaker 4: of people feel very pure pressure to stay with an 56 00:03:20,919 --> 00:03:24,080 Speaker 4: iPhone versus a different device, simply because if you're in 57 00:03:24,120 --> 00:03:27,160 Speaker 4: a group chat and you have blue text messages like 58 00:03:27,440 --> 00:03:30,280 Speaker 4: it seems like that's actually a really strong feature that 59 00:03:30,320 --> 00:03:33,320 Speaker 4: can ramp up demand, at least in the US. So 60 00:03:33,560 --> 00:03:34,920 Speaker 4: how does that compare it and how are you so? 61 00:03:35,560 --> 00:03:39,120 Speaker 3: I will say, I think Apple is still gaining share 62 00:03:39,280 --> 00:03:44,520 Speaker 3: in other markets US, India, other pockets as well outside 63 00:03:44,560 --> 00:03:47,880 Speaker 3: of China, but that China revenue is almost twenty percent 64 00:03:47,920 --> 00:03:50,560 Speaker 3: of their sales. And if it's going to be zero 65 00:03:50,760 --> 00:03:52,960 Speaker 3: a couple of years from now. Then you have to 66 00:03:53,000 --> 00:03:57,000 Speaker 3: ask yourself what makes for that revenue shortfall and for 67 00:03:57,040 --> 00:03:59,360 Speaker 3: a variety of reasons, as we talked about, you know, 68 00:03:59,480 --> 00:04:03,200 Speaker 3: related to China, But even if they are doing well 69 00:04:03,240 --> 00:04:06,480 Speaker 3: in other regions, it's just pressure in terms of unit 70 00:04:06,520 --> 00:04:09,320 Speaker 3: sales and what do you do. Do you keep raising 71 00:04:09,320 --> 00:04:11,280 Speaker 3: the prices of the phone, which they may have to 72 00:04:11,360 --> 00:04:14,080 Speaker 3: because they have to relocate the supply chains out of China. 73 00:04:14,440 --> 00:04:17,360 Speaker 3: That's the other aspect of the cost pressures when it 74 00:04:17,360 --> 00:04:21,000 Speaker 3: comes to making this phone. They will have a lot 75 00:04:21,040 --> 00:04:24,160 Speaker 3: of that because they have to relocate those supply chains 76 00:04:24,200 --> 00:04:25,040 Speaker 3: and it's not easy. 77 00:04:25,520 --> 00:04:30,320 Speaker 2: I'm surprised they haven't take any more aggressive approach in India, 78 00:04:31,200 --> 00:04:35,240 Speaker 2: like maybe a lower cost model to appeal to that marketplace. 79 00:04:35,480 --> 00:04:36,760 Speaker 2: What's their India strategy? 80 00:04:37,240 --> 00:04:39,920 Speaker 3: I mean, so far, I think they are catering to 81 00:04:39,960 --> 00:04:43,240 Speaker 3: that premium segment and they have had success, you know, 82 00:04:43,400 --> 00:04:47,000 Speaker 3: in terms of that one percent or two percent penetration 83 00:04:47,160 --> 00:04:50,240 Speaker 3: that they have had, you know, in terms of the region. 84 00:04:50,320 --> 00:04:53,760 Speaker 3: But a low cost phone it's hard in India simply 85 00:04:53,800 --> 00:04:56,960 Speaker 3: because how low can you go? And Apple has tried 86 00:04:57,000 --> 00:05:00,320 Speaker 3: that with different skews in the past, they haven't had 87 00:05:00,320 --> 00:05:04,120 Speaker 3: a ton of success with low CON's phones because again, 88 00:05:04,520 --> 00:05:08,280 Speaker 3: the competitors are quite fierce when it comes to you know, 89 00:05:08,560 --> 00:05:11,400 Speaker 3: the feature said and the quality of the phones that 90 00:05:11,440 --> 00:05:14,960 Speaker 3: they offer, and so it will be an interesting strategy 91 00:05:15,000 --> 00:05:18,159 Speaker 3: if they decide to pursue that. But for now, I 92 00:05:18,200 --> 00:05:20,919 Speaker 3: don't think anything can make up for that China revenue 93 00:05:20,920 --> 00:05:23,479 Speaker 3: shortfall because it's declining at a very rapid pace. 94 00:05:23,800 --> 00:05:27,440 Speaker 4: So their earnings aren't until May second. They have that 95 00:05:27,560 --> 00:05:29,720 Speaker 4: launch event on May seventh, but we do have some 96 00:05:29,760 --> 00:05:32,320 Speaker 4: other big tech earnings coming this week. Can you talk 97 00:05:32,320 --> 00:05:32,640 Speaker 4: about that? 98 00:05:32,880 --> 00:05:36,839 Speaker 3: Yeah, I mean, look, Meta, I think it's a company 99 00:05:36,880 --> 00:05:40,000 Speaker 3: that has had a great turnaround story, and we know 100 00:05:40,200 --> 00:05:43,680 Speaker 3: turnarounds are tough intech, but Meta has shown that, you know, 101 00:05:43,720 --> 00:05:47,320 Speaker 3: it's a remarkable story when it comes to laying off 102 00:05:47,360 --> 00:05:50,320 Speaker 3: twenty five percent people and then growing revenue twenty five 103 00:05:50,360 --> 00:05:53,560 Speaker 3: percent in subsequent quarters. I mean, it just speaks for 104 00:05:54,200 --> 00:05:56,760 Speaker 3: how well they have executed and now they are at 105 00:05:56,760 --> 00:05:58,799 Speaker 3: the top of the game and it comes to having 106 00:05:58,839 --> 00:06:02,240 Speaker 3: their own large a model, So that could make a 107 00:06:02,240 --> 00:06:04,839 Speaker 3: difference in terms of, you know, the new revenue stream 108 00:06:04,880 --> 00:06:07,560 Speaker 3: that everyone wants to see with meta and probably the 109 00:06:07,600 --> 00:06:11,760 Speaker 3: metaverse may become a side show. I think another company 110 00:06:12,120 --> 00:06:16,120 Speaker 3: that I feel is not very well understood and probably 111 00:06:16,160 --> 00:06:19,159 Speaker 3: everyone thinks they're going to get disrupted is Google Alphabet, 112 00:06:19,560 --> 00:06:21,919 Speaker 3: and that's where it would be interesting to see what 113 00:06:22,000 --> 00:06:25,080 Speaker 3: they do around search because all the survey work that 114 00:06:25,120 --> 00:06:28,480 Speaker 3: we have done, it shows that, you know, the new 115 00:06:28,520 --> 00:06:33,240 Speaker 3: companies chat GPT, Perplexity, they have taken some share when 116 00:06:33,279 --> 00:06:36,760 Speaker 3: it comes to the search queries. Now. Still, the counter 117 00:06:36,960 --> 00:06:40,239 Speaker 3: argument is everyone still needs to go to Google Maps 118 00:06:40,640 --> 00:06:44,560 Speaker 3: or Google Search to look at what chat GPT is 119 00:06:44,600 --> 00:06:48,320 Speaker 3: generating because they're not sourcing the links. So in the end, 120 00:06:48,640 --> 00:06:52,839 Speaker 3: Google is still getting the traffic, but obviously the search 121 00:06:52,920 --> 00:06:55,599 Speaker 3: is starting somewhere else, and that's the key risk that 122 00:06:55,640 --> 00:06:56,560 Speaker 3: they have to address. 123 00:06:56,760 --> 00:06:59,240 Speaker 2: All right, so does does Google have an AI play 124 00:06:59,240 --> 00:06:59,920 Speaker 2: per se? 125 00:07:00,040 --> 00:07:02,919 Speaker 3: Yeah? So their Gemini large anglid model. I mean, we 126 00:07:03,000 --> 00:07:06,360 Speaker 3: all know it wasn't a success initially, but now they 127 00:07:06,400 --> 00:07:09,040 Speaker 3: have caught up in terms of features and look, Google 128 00:07:09,240 --> 00:07:12,800 Speaker 3: doesn't want to integrate Gemini everywhere because that's going to 129 00:07:12,880 --> 00:07:15,840 Speaker 3: hurt their ad revenue. So they're very careful with how 130 00:07:15,880 --> 00:07:18,240 Speaker 3: they roll out and how they make those UI changes 131 00:07:18,280 --> 00:07:21,320 Speaker 3: because it's going to be disruptive to their incumbent position. 132 00:07:21,520 --> 00:07:23,240 Speaker 3: When it comes to digital. 133 00:07:22,840 --> 00:07:24,480 Speaker 2: Ads market, do you use Gemini? 134 00:07:24,880 --> 00:07:28,080 Speaker 3: I do, and I think for certain tasks like generating 135 00:07:28,160 --> 00:07:31,920 Speaker 3: summaries and you know, video editing, that kind of stuff, 136 00:07:31,960 --> 00:07:35,520 Speaker 3: image editing, it's great. But I don't use it for 137 00:07:35,560 --> 00:07:39,040 Speaker 3: my search yet because when it comes to the traditional 138 00:07:39,040 --> 00:07:42,000 Speaker 3: Google search, it's still the go to place. When I 139 00:07:42,040 --> 00:07:44,720 Speaker 3: think about you know certain things to do, and that's 140 00:07:44,720 --> 00:07:45,640 Speaker 3: the behavior I think. 141 00:07:45,960 --> 00:07:48,360 Speaker 2: All right, you're a guy, Men Deep sing Senior techounts 142 00:07:48,400 --> 00:07:50,120 Speaker 2: when you go. When you start using something, I'll start 143 00:07:50,200 --> 00:07:52,560 Speaker 2: using it when men and when Anna Rock tells me 144 00:07:52,560 --> 00:07:54,560 Speaker 2: to upgrade my phone, all upgrade my phone. That's how 145 00:07:54,600 --> 00:07:57,520 Speaker 2: I roll Men Deep Seeing Senior Tech outs or Bloomberg Intelligence. 146 00:07:57,600 --> 00:08:01,280 Speaker 2: Join us live here in our Bloomberg Interactive Brokers Studio 147 00:08:01,920 --> 00:08:05,760 Speaker 2: iPhone China Apple. It's a big, big challenge for them, 148 00:08:05,760 --> 00:08:07,520 Speaker 2: as many you've said, almost twenty percent of the revenue 149 00:08:07,520 --> 00:08:10,440 Speaker 2: comes out of China. They need to figure that out. 150 00:08:12,000 --> 00:08:15,880 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 151 00:08:15,960 --> 00:08:19,480 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 152 00:08:19,520 --> 00:08:22,240 Speaker 1: Auto with the Bloomberg Business app. You can also listen 153 00:08:22,400 --> 00:08:25,520 Speaker 1: live on Amazon Alexa from our flagship New York station. 154 00:08:25,880 --> 00:08:28,640 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 155 00:08:30,000 --> 00:08:32,520 Speaker 2: Emily Grafao, Paul Swen, you're live here in the Bloomberg 156 00:08:32,520 --> 00:08:36,400 Speaker 2: INTERACTI Broker Studio or streaming live on YouTube as well. 157 00:08:36,720 --> 00:08:40,200 Speaker 2: Emily Grafao a proud graduate of the University of Richmond. 158 00:08:40,400 --> 00:08:43,559 Speaker 2: I'm sorry University of Virginia. Sorry slip slip. As is 159 00:08:43,600 --> 00:08:46,520 Speaker 2: our next guest, Garrett Nelson, Vice president and Senior equity 160 00:08:46,520 --> 00:08:50,080 Speaker 2: analyst at cfr A Research. Garrett, my notes here, say 161 00:08:50,600 --> 00:08:55,600 Speaker 2: you're in Richmond, Virginia. How'd you work that scam? 162 00:08:55,640 --> 00:09:00,640 Speaker 5: That's right, only only an hour from Charlottesville. So as 163 00:09:00,679 --> 00:09:05,280 Speaker 5: a as a proud who, very happy living so close 164 00:09:05,400 --> 00:09:06,760 Speaker 5: to the album. 165 00:09:06,760 --> 00:09:09,880 Speaker 2: Marler, all right, very good. I'm surrounded by UVA folks. Hey, 166 00:09:09,920 --> 00:09:13,760 Speaker 2: Garrett Elon Musk, let's talk Tesla. You're the auto dude 167 00:09:13,800 --> 00:09:17,400 Speaker 2: at CFRA. What does he have to do on the 168 00:09:17,400 --> 00:09:20,000 Speaker 2: conference call today? It seems like he's got to pull 169 00:09:20,040 --> 00:09:21,680 Speaker 2: a rabbit out of some kind of hat here to 170 00:09:22,000 --> 00:09:24,559 Speaker 2: reverse the bad mojo around the stock. 171 00:09:25,920 --> 00:09:26,280 Speaker 1: Yeah. 172 00:09:26,360 --> 00:09:30,200 Speaker 5: Look, there's no question the stakes are extremely high heading 173 00:09:30,200 --> 00:09:33,360 Speaker 5: into this earnings release. The stock is down more than 174 00:09:33,400 --> 00:09:36,200 Speaker 5: forty year to date, coming off a year in which 175 00:09:36,240 --> 00:09:42,600 Speaker 5: shares more than doubled. Tesla's earnings execution also hasn't been great. 176 00:09:42,720 --> 00:09:45,800 Speaker 5: They've missed on the bottom line each of the last 177 00:09:45,800 --> 00:09:50,400 Speaker 5: two quarters, you know, but we think the challenges they 178 00:09:50,440 --> 00:09:54,520 Speaker 5: face at this point are well understood by investors. They're 179 00:09:54,559 --> 00:09:58,080 Speaker 5: having issues with the ramp up of production of the 180 00:09:58,120 --> 00:10:03,680 Speaker 5: cyber truck. The TV market overall is oversaturated and growth 181 00:10:03,720 --> 00:10:09,000 Speaker 5: rates have slowed tremendously. And you know, there's some uncertainty 182 00:10:09,080 --> 00:10:12,640 Speaker 5: regarding the future product pipeline when they might bring to 183 00:10:12,679 --> 00:10:17,280 Speaker 5: market the mass market ev or ROBOTAXI. You know, that's 184 00:10:17,320 --> 00:10:20,200 Speaker 5: not really clear right now. So certainly a lot to 185 00:10:20,240 --> 00:10:24,080 Speaker 5: look for. There's always a lot on the line. Tesla 186 00:10:24,120 --> 00:10:27,120 Speaker 5: is one of the most anticipated earnings releases every quarter, 187 00:10:27,200 --> 00:10:29,400 Speaker 5: but even more so this quarter. 188 00:10:30,960 --> 00:10:34,240 Speaker 4: Yeah. Can you talk a little bit about Tesla's efforts 189 00:10:34,360 --> 00:10:38,280 Speaker 4: to cut prices on their vehicles and how that is 190 00:10:38,320 --> 00:10:40,240 Speaker 4: going to play into the earnings. I see a lot 191 00:10:40,240 --> 00:10:44,000 Speaker 4: of headlines about cutting costs. They recently slashed prices I 192 00:10:44,040 --> 00:10:47,320 Speaker 4: think two weeks ago on most of their models. Is 193 00:10:47,320 --> 00:10:50,199 Speaker 4: that something that investors should be watching for? Even more 194 00:10:51,120 --> 00:10:52,000 Speaker 4: today in the earnings. 195 00:10:53,400 --> 00:10:53,600 Speaker 1: Yeah. 196 00:10:53,640 --> 00:10:57,160 Speaker 5: So Tesla's been cutting prices steadily for over a year now. 197 00:10:57,240 --> 00:11:01,360 Speaker 5: Remember just after the New year twenty twenty three, they 198 00:11:01,440 --> 00:11:04,320 Speaker 5: announced a price cut, a series of price cuts, and 199 00:11:04,640 --> 00:11:08,720 Speaker 5: there have been, you know, several price cut announcements since then. 200 00:11:08,840 --> 00:11:13,080 Speaker 5: So it's going to impact both the top line and 201 00:11:13,200 --> 00:11:14,960 Speaker 5: the bottom line. You're really going to see it in 202 00:11:15,000 --> 00:11:19,840 Speaker 5: the gross margins that they report. So but you know, 203 00:11:20,080 --> 00:11:23,640 Speaker 5: also Tesla's at a point where they opened two new 204 00:11:23,679 --> 00:11:26,280 Speaker 5: factories just a couple of years ago, in Austin and 205 00:11:26,280 --> 00:11:29,480 Speaker 5: in Berlin, and they're still in the process of ramping 206 00:11:29,520 --> 00:11:34,079 Speaker 5: those plants up to full capacity. So you know, if 207 00:11:34,120 --> 00:11:39,160 Speaker 5: they can do that cut prices and drive sales higher, 208 00:11:39,720 --> 00:11:42,880 Speaker 5: they can drive down their unit costs by doing so. 209 00:11:43,000 --> 00:11:45,680 Speaker 5: Auto manufacturing is a very high fixed cost business, so 210 00:11:45,760 --> 00:11:48,720 Speaker 5: ultimately they want to run those plants at the highest 211 00:11:48,760 --> 00:11:53,200 Speaker 5: possible capacity utilization rate without surrendering too much margin. 212 00:11:54,080 --> 00:11:58,800 Speaker 2: So I guess to me, thank you blue Button, to me, Garrett, 213 00:11:59,480 --> 00:12:01,680 Speaker 2: I think the most fundamental issue here, and I'm not 214 00:12:01,679 --> 00:12:04,440 Speaker 2: sure Elon Musk can really address it, is what is 215 00:12:04,480 --> 00:12:10,599 Speaker 2: the overall fundamental long term demand for EV's. You know, 216 00:12:10,679 --> 00:12:12,600 Speaker 2: there's a lot of folks out there that are saying 217 00:12:12,640 --> 00:12:15,320 Speaker 2: it's it's it's not great, it's not what maybe the 218 00:12:15,360 --> 00:12:17,400 Speaker 2: industry once thought. What's your view on that. 219 00:12:19,000 --> 00:12:21,760 Speaker 5: Yeah, I think that's a big reason behind the sell 220 00:12:21,800 --> 00:12:25,319 Speaker 5: off in Tesla and other EV manufacturers. I mean, look 221 00:12:25,320 --> 00:12:29,320 Speaker 5: at the stock price of Ribby and Lucid Fisker. Is 222 00:12:29,320 --> 00:12:33,720 Speaker 5: that the growth rates have disappointed, you know, compared to 223 00:12:33,760 --> 00:12:37,160 Speaker 5: what investors thought growth would look like just two or 224 00:12:37,160 --> 00:12:40,720 Speaker 5: three years ago. So you know, it's been a disappointment. 225 00:12:41,000 --> 00:12:43,280 Speaker 5: And one thing you can point to is that governments 226 00:12:43,320 --> 00:12:47,000 Speaker 5: around the world are putting EV mandates in place, and so, 227 00:12:48,440 --> 00:12:50,640 Speaker 5: you know, we think that's a big positive for Tesla. 228 00:12:50,679 --> 00:12:54,200 Speaker 5: Obviously as an EV peer play. You're also seeing a 229 00:12:54,320 --> 00:12:58,640 Speaker 5: number of traditional auto manufacturers really pull back on their 230 00:12:58,679 --> 00:13:01,720 Speaker 5: planned EV investment. So over the longer term, there should 231 00:13:01,720 --> 00:13:04,840 Speaker 5: be a lot less competition in the EV market for Tesla, 232 00:13:05,679 --> 00:13:08,199 Speaker 5: which really opens up the market opportunity. 233 00:13:08,760 --> 00:13:14,280 Speaker 4: What else makes Tesla different than other pure play EV manufacturers. 234 00:13:14,320 --> 00:13:17,760 Speaker 4: If you read the Walter Isaacson biography of Elon Musk's, 235 00:13:17,840 --> 00:13:21,080 Speaker 4: you kind of get a sense that Musk never wanted 236 00:13:21,120 --> 00:13:24,640 Speaker 4: Tesla to just be an EV company, but thinks of 237 00:13:24,640 --> 00:13:27,760 Speaker 4: it more as an AI company, a battery company. How 238 00:13:27,840 --> 00:13:30,480 Speaker 4: much does that matter to investors right now when the 239 00:13:30,520 --> 00:13:33,840 Speaker 4: stock is down, you know, forty percent year to date. 240 00:13:34,880 --> 00:13:37,200 Speaker 5: We argue it should matter. I mean, look, they have 241 00:13:37,240 --> 00:13:42,440 Speaker 5: an energy business, energy storage that if you look last year, 242 00:13:42,440 --> 00:13:45,160 Speaker 5: it's been growing faster than the auto business. They hardly 243 00:13:45,600 --> 00:13:49,280 Speaker 5: get any credit for that business, and so you know, 244 00:13:49,320 --> 00:13:52,359 Speaker 5: we think it should matter. But really, the big distinguishing 245 00:13:52,400 --> 00:13:57,440 Speaker 5: factor when you look at Tesla relative to to other 246 00:13:57,520 --> 00:14:00,360 Speaker 5: competitors is its balance sheet. You know, this, this isn't 247 00:14:00,360 --> 00:14:02,880 Speaker 5: the Tesla of three or four years ago that was 248 00:14:02,920 --> 00:14:06,480 Speaker 5: just barely getting by. Tesla had today has an investment 249 00:14:06,520 --> 00:14:09,559 Speaker 5: grade balance sheet. They're sitting on over twenty nine billion 250 00:14:09,640 --> 00:14:12,360 Speaker 5: dollars of cash, They have some of the highest gross 251 00:14:12,440 --> 00:14:16,200 Speaker 5: margins in the industry, and we think they have an 252 00:14:16,240 --> 00:14:20,240 Speaker 5: attractive development pipeline. So you know, that's really you've seen 253 00:14:20,280 --> 00:14:23,320 Speaker 5: a bifurcation in the market where you know, some of 254 00:14:23,360 --> 00:14:26,560 Speaker 5: the smaller, newer ed players like the ones I mentioned, 255 00:14:27,440 --> 00:14:30,960 Speaker 5: you know, some of them have either declared bankruptcy or 256 00:14:31,120 --> 00:14:34,560 Speaker 5: are flirting with bankruptcy. So you know, Tesla is really 257 00:14:35,080 --> 00:14:38,720 Speaker 5: in a much different position than those companies, and in fact, 258 00:14:38,720 --> 00:14:42,000 Speaker 5: a lot of traditional automnifact and manufacturers don't even have 259 00:14:42,120 --> 00:14:44,560 Speaker 5: investment grade balance sheets, so you know, they're in a 260 00:14:44,640 --> 00:14:48,120 Speaker 5: better position than those companies in our opinion. 261 00:14:48,600 --> 00:14:53,400 Speaker 2: Garrett has, do you have the confidence that Tesla can 262 00:14:54,320 --> 00:14:58,200 Speaker 2: profitably make an EV at a thirty thirty five thousand 263 00:14:58,200 --> 00:14:58,960 Speaker 2: dollars price point? 264 00:15:00,760 --> 00:15:03,800 Speaker 5: Going to be difficult. So you know, when Elon Musk 265 00:15:03,840 --> 00:15:08,200 Speaker 5: first started talking about this mass market EV years ago, 266 00:15:08,360 --> 00:15:10,320 Speaker 5: it you know, it was a twenty five thousand dollars 267 00:15:10,600 --> 00:15:15,320 Speaker 5: EV and that just isn't you know, with inflation that 268 00:15:15,360 --> 00:15:19,600 Speaker 5: we've experienced since then and the economy continues to experience, 269 00:15:20,840 --> 00:15:23,760 Speaker 5: we think, you know, if this happens, it's it's more 270 00:15:23,920 --> 00:15:26,640 Speaker 5: likely to have a price point somewhere north of thirty thousand, 271 00:15:26,720 --> 00:15:30,000 Speaker 5: maybe thirty or thirty five thousand, And that's really a 272 00:15:30,040 --> 00:15:32,840 Speaker 5: price point that they're that they're going to need to 273 00:15:33,560 --> 00:15:36,320 Speaker 5: produce it profitably in this environment. 274 00:15:37,600 --> 00:15:40,440 Speaker 4: I have two questions. One quick question we talked about 275 00:15:40,440 --> 00:15:43,840 Speaker 4: the balance sheet. Does Tesla still have bitcoin on their 276 00:15:43,880 --> 00:15:46,640 Speaker 4: balance sheet? Remember when that news came out like two 277 00:15:46,720 --> 00:15:47,200 Speaker 4: years ago? 278 00:15:49,080 --> 00:15:52,000 Speaker 5: They do, And you know, that was a drag on 279 00:15:52,400 --> 00:15:55,680 Speaker 5: on Tesla for a while. When bitcoin was falling. With 280 00:15:55,800 --> 00:15:59,840 Speaker 5: bitcoin having rebounded, you know, they've divested some of the bitcoin, 281 00:15:59,880 --> 00:16:03,360 Speaker 5: but they do have some amount on the balance sheet. 282 00:16:03,360 --> 00:16:04,920 Speaker 5: I would have to check the ten K for the 283 00:16:04,960 --> 00:16:08,400 Speaker 5: exact amount, but they do. They do still have some bitcoin. 284 00:16:08,760 --> 00:16:11,240 Speaker 4: The other question I had was just when the earnings 285 00:16:11,280 --> 00:16:14,920 Speaker 4: come out, you know, what are you looking for? Best 286 00:16:14,920 --> 00:16:17,080 Speaker 4: case scenario? You know, what kind of headline would you 287 00:16:17,120 --> 00:16:20,600 Speaker 4: have to see to you know, start buying more Tesla 288 00:16:20,880 --> 00:16:22,200 Speaker 4: after the earnings. 289 00:16:25,160 --> 00:16:28,200 Speaker 5: Really the biggest thing is we're looking for some certainty 290 00:16:28,240 --> 00:16:31,480 Speaker 5: regarding the cyber truck. From as far as we can tell, 291 00:16:31,680 --> 00:16:34,240 Speaker 5: from the time they made first deliveries of that vehicle 292 00:16:34,240 --> 00:16:38,120 Speaker 5: in November, you know, through the end of March, they've 293 00:16:38,120 --> 00:16:43,040 Speaker 5: only produced maybe a few thousand units of the cyber truck. 294 00:16:44,080 --> 00:16:47,240 Speaker 5: Now the reservation count for that model is somewhere north 295 00:16:47,280 --> 00:16:50,560 Speaker 5: of two million, So you have two million customers out 296 00:16:50,600 --> 00:16:53,640 Speaker 5: there who are waiting delivery of their cyber truck. They're 297 00:16:53,640 --> 00:16:58,240 Speaker 5: having difficulty ramping up production. There was a recall just announced, 298 00:16:59,320 --> 00:17:04,160 Speaker 5: and so you know, we're looking for some certainty regarding 299 00:17:05,240 --> 00:17:09,000 Speaker 5: when they might hit certain production milestones for the cyber truck, 300 00:17:09,680 --> 00:17:12,160 Speaker 5: which is going to have an impact on their full 301 00:17:12,240 --> 00:17:16,920 Speaker 5: year deliveries obviously, and then looking ahead into twenty twenty five. 302 00:17:17,040 --> 00:17:19,800 Speaker 5: But you know, if you look across the street, Earning's 303 00:17:19,840 --> 00:17:23,679 Speaker 5: estimates have come down massively for twenty twenty four, and 304 00:17:23,720 --> 00:17:25,720 Speaker 5: so we think they're at a level which are much 305 00:17:25,720 --> 00:17:29,959 Speaker 5: more achievable here, and so the really the story becomes 306 00:17:30,000 --> 00:17:34,119 Speaker 5: more of a twenty twenty five and beyond story, which 307 00:17:34,160 --> 00:17:36,600 Speaker 5: is what investors are looking for, you know, taking the 308 00:17:36,640 --> 00:17:40,200 Speaker 5: longer view, but also they want to see better execution 309 00:17:40,359 --> 00:17:41,120 Speaker 5: in the near term. 310 00:17:41,480 --> 00:17:43,199 Speaker 2: All right, Garet, thanks so much for joining us. Really 311 00:17:43,280 --> 00:17:47,200 Speaker 2: appreciate it. Garrett Nelson, Vice president's Senior Equity analytcfr A Research, 312 00:17:47,720 --> 00:17:52,080 Speaker 2: A proud Wahoo from the University of Virginia, somehow working 313 00:17:52,119 --> 00:17:55,240 Speaker 2: his scam from Richmond, Virginia, one of my favorite towns 314 00:17:55,320 --> 00:17:58,160 Speaker 2: anywhere my twins are born. There a great city, great 315 00:17:58,160 --> 00:18:01,680 Speaker 2: place to live. Garrett's got it figured out there doing 316 00:18:01,720 --> 00:18:04,400 Speaker 2: the Wall Street thing from Richmond, Regina. Good for him, 317 00:18:04,960 --> 00:18:07,120 Speaker 2: Tesla after the close, that's going to be big. 318 00:18:09,520 --> 00:18:13,400 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 319 00:18:13,480 --> 00:18:16,560 Speaker 1: weekdays at ten am Eastern on Apple Car, playing Android 320 00:18:16,600 --> 00:18:19,680 Speaker 1: otto with the Bloomberg Business app listen on demand wherever 321 00:18:19,760 --> 00:18:23,600 Speaker 1: you get your podcasts, or watch us live on YouTube. 322 00:18:24,200 --> 00:18:26,600 Speaker 2: One of the big names reporting today is UPS, big 323 00:18:26,640 --> 00:18:31,480 Speaker 2: brown profit higher than analysts estimates, talking about headcount management, 324 00:18:31,520 --> 00:18:34,480 Speaker 2: restructuring of its delivery rats are beginning to bear some fruit. 325 00:18:34,520 --> 00:18:37,280 Speaker 2: Let's check in with the expert on all things transport 326 00:18:37,359 --> 00:18:39,879 Speaker 2: and that would be one lead classical. He's a senior 327 00:18:39,920 --> 00:18:44,840 Speaker 2: transportation's logistics analyst at Bloomberg Intelligence. He's safely a sconce 328 00:18:44,920 --> 00:18:47,520 Speaker 2: down in our Princeton office and he joins us there 329 00:18:47,600 --> 00:18:51,760 Speaker 2: via zoom. So, Lee, it looks like this UPS put 330 00:18:51,840 --> 00:18:54,360 Speaker 2: us some good numbers. What are really the drivers here? 331 00:18:55,600 --> 00:18:57,080 Speaker 6: Yeah, hey Paul, thanks for having me on. 332 00:18:57,480 --> 00:18:57,680 Speaker 1: Yeah. 333 00:18:57,720 --> 00:19:00,080 Speaker 6: I think it's really about what they're doing on the 334 00:19:00,119 --> 00:19:04,119 Speaker 6: cost side. I think that's really the driver of the 335 00:19:04,119 --> 00:19:08,400 Speaker 6: outperformance in EPs, because revenue did come in slightly lower 336 00:19:08,720 --> 00:19:12,560 Speaker 6: than expectations on lower volumes. You know, they're dealing with 337 00:19:12,640 --> 00:19:18,199 Speaker 6: lower volumes from last share last year when they you know, 338 00:19:18,240 --> 00:19:21,360 Speaker 6: were negotiating their labor contract and a lot of shippers 339 00:19:21,440 --> 00:19:24,000 Speaker 6: kind of try to find other alternatives in case there 340 00:19:24,040 --> 00:19:27,280 Speaker 6: was an issue with their network, you know, from a strike. 341 00:19:27,359 --> 00:19:30,399 Speaker 6: But obviously that didn't happen now they're being pretty busy 342 00:19:30,440 --> 00:19:33,720 Speaker 6: trying to win back that share, so, you know, I 343 00:19:33,720 --> 00:19:37,240 Speaker 6: think what they're all in all, it was a good quarter. 344 00:19:37,600 --> 00:19:41,280 Speaker 6: I think if UPS is you know, meeting or beating expectations, 345 00:19:41,560 --> 00:19:43,840 Speaker 6: that's a good thing. Because they've had a rough year, 346 00:19:44,680 --> 00:19:48,480 Speaker 6: driven a lot by that labor negotiation, which increased costs 347 00:19:48,520 --> 00:19:52,640 Speaker 6: considerably and resulted in a lost amount of volume, which 348 00:19:52,880 --> 00:19:55,919 Speaker 6: you know, for a company like UPS, the deleveraging effect 349 00:19:56,040 --> 00:19:59,439 Speaker 6: on margins is quite substantial. But there are definitely some 350 00:19:59,480 --> 00:20:02,879 Speaker 6: good news in the report today that you know, we 351 00:20:02,920 --> 00:20:08,040 Speaker 6: remain optimistic that they might be even looking to possibly increase, 352 00:20:08,200 --> 00:20:10,880 Speaker 6: you know, their full year guidance for twenty twenty four, 353 00:20:11,359 --> 00:20:14,800 Speaker 6: especially as the US postal service contract which they recently 354 00:20:15,000 --> 00:20:17,679 Speaker 6: won from FedEx starts hitting their. 355 00:20:17,680 --> 00:20:18,080 Speaker 1: P and L. 356 00:20:19,320 --> 00:20:22,560 Speaker 4: When you talk about average daily package volume down, your 357 00:20:22,600 --> 00:20:26,000 Speaker 4: over year revenue down year over year, how much of 358 00:20:26,080 --> 00:20:30,480 Speaker 4: the softer demand for UPS is related to macro economic 359 00:20:30,600 --> 00:20:34,879 Speaker 4: factors and maybe coming out of the pandemic consumers shipping less. 360 00:20:35,160 --> 00:20:36,240 Speaker 4: Is that a factor here? 361 00:20:37,520 --> 00:20:42,040 Speaker 6: Yeah, I think it's a you know, probably a trieffective things. 362 00:20:42,080 --> 00:20:49,080 Speaker 6: It's probably a softer great outlook all together that coupled 363 00:20:49,080 --> 00:20:52,959 Speaker 6: with tougher comparisons, and the fact that they are you know, 364 00:20:53,119 --> 00:20:55,280 Speaker 6: are still trying to win back the share that they 365 00:20:55,320 --> 00:21:00,160 Speaker 6: lost from their labor contract negotiation. So I think think 366 00:21:00,200 --> 00:21:04,120 Speaker 6: those three things are kind of weighing on their their volumes, 367 00:21:04,240 --> 00:21:08,160 Speaker 6: probably more than maybe their competitors like a FedEx or 368 00:21:08,200 --> 00:21:10,280 Speaker 6: a DHL Hayley. 369 00:21:10,359 --> 00:21:13,280 Speaker 2: I know, labor is a big deal with UPS and 370 00:21:13,480 --> 00:21:15,760 Speaker 2: these companies here. I know UPS they had a new 371 00:21:15,960 --> 00:21:21,640 Speaker 2: labor contract that really pushed up wages and benefits starting 372 00:21:21,680 --> 00:21:24,040 Speaker 2: I guess this year. But then on the other side, 373 00:21:24,160 --> 00:21:28,240 Speaker 2: they also cut twelve hundred or twelve thousand white collar jobs. 374 00:21:28,240 --> 00:21:32,000 Speaker 2: That's like fourteen percent of the workforce here. So talk 375 00:21:32,000 --> 00:21:34,000 Speaker 2: to us about the labor and component they're in the 376 00:21:34,040 --> 00:21:34,640 Speaker 2: cost structure. 377 00:21:36,000 --> 00:21:38,520 Speaker 6: Yeah, I mean that they're they're doing the right things. 378 00:21:39,280 --> 00:21:44,280 Speaker 6: You know, the contract might have a you know, with 379 00:21:44,440 --> 00:21:47,680 Speaker 6: the team serves, might have had a negative impact to margins, 380 00:21:47,720 --> 00:21:49,760 Speaker 6: but you know, we are going to anniversary those in 381 00:21:49,760 --> 00:21:52,840 Speaker 6: the second half of the year, so those comparisons won't 382 00:21:52,880 --> 00:21:56,040 Speaker 6: be as bad. And also, you know, does provide them 383 00:21:56,080 --> 00:22:00,720 Speaker 6: with a steady labor force, because you know, if your 384 00:22:00,760 --> 00:22:02,560 Speaker 6: labor is happy, you're gonna have less turnover. You have 385 00:22:02,640 --> 00:22:05,600 Speaker 6: less turnover, you probably have better service and better safety, 386 00:22:05,680 --> 00:22:09,800 Speaker 6: and that usually yields better profits. So I think, like 387 00:22:09,880 --> 00:22:12,800 Speaker 6: when you if you look longer term, beyond the initial 388 00:22:12,840 --> 00:22:15,840 Speaker 6: shock of that new contract, which is very front loaded, 389 00:22:16,520 --> 00:22:19,000 Speaker 6: you know, the increases aren't as bad. As we get 390 00:22:19,080 --> 00:22:21,560 Speaker 6: to year two, it's not going to be as bad. 391 00:22:21,800 --> 00:22:24,440 Speaker 6: And listen, you know UPS and FedEx and a lot of 392 00:22:24,480 --> 00:22:26,760 Speaker 6: these companies, you know they did get a little on 393 00:22:27,080 --> 00:22:30,040 Speaker 6: the fat side, if you will, on their corporate ranks, 394 00:22:30,040 --> 00:22:31,960 Speaker 6: and I think they're both doing the right things and 395 00:22:32,040 --> 00:22:34,600 Speaker 6: terming in terms of trimming it for the new normal 396 00:22:35,000 --> 00:22:38,840 Speaker 6: of what their operating environment is today. 397 00:22:39,359 --> 00:22:42,040 Speaker 4: How should investors be thinking about UPS? The stock is 398 00:22:42,119 --> 00:22:45,560 Speaker 4: up one point five percent right now, but it's down 399 00:22:45,600 --> 00:22:49,320 Speaker 4: about six percent year to date, underperforming the broader market. 400 00:22:50,040 --> 00:22:51,800 Speaker 6: Yeah, and if you even look even further over the 401 00:22:51,880 --> 00:22:54,840 Speaker 6: last twelve months, you know it's down almost twenty five percent, 402 00:22:55,280 --> 00:22:57,840 Speaker 6: underperforming not only the broader market, but you know it's 403 00:22:57,840 --> 00:23:01,600 Speaker 6: closest peer fed X, which is up around eighteen percent 404 00:23:01,600 --> 00:23:04,120 Speaker 6: over the last twelve months. So you know, I think 405 00:23:04,160 --> 00:23:06,160 Speaker 6: what they need to do is they need to execute. 406 00:23:06,160 --> 00:23:08,359 Speaker 6: They do not only to execute on their twenty twenty 407 00:23:08,359 --> 00:23:12,320 Speaker 6: four plans, but their twenty twenty six plans, and I 408 00:23:12,359 --> 00:23:14,159 Speaker 6: do as I said earlier, I think there is some 409 00:23:14,240 --> 00:23:17,920 Speaker 6: opportunity for some upside surprise. Given their US postal service contract. 410 00:23:18,560 --> 00:23:21,640 Speaker 6: It wasn't didn't really make that much money for FedEx. 411 00:23:21,680 --> 00:23:24,560 Speaker 6: But I think UPS's network is very different than fedexits. 412 00:23:24,560 --> 00:23:27,400 Speaker 6: It's more integrated, it's not a hub and spoke network, 413 00:23:27,960 --> 00:23:30,720 Speaker 6: and that will provide them with some profitability. And management 414 00:23:30,760 --> 00:23:33,359 Speaker 6: is pretty confident, at least it peers confident that this 415 00:23:33,440 --> 00:23:35,600 Speaker 6: business is going to be not only creative to earnings, 416 00:23:35,600 --> 00:23:38,400 Speaker 6: but a creative to margins. And that's kind of what 417 00:23:38,440 --> 00:23:40,560 Speaker 6: you know, we as we look at the company, really 418 00:23:40,600 --> 00:23:42,440 Speaker 6: want to see. We really want to see those domestic 419 00:23:42,480 --> 00:23:43,680 Speaker 6: margins start to improve. 420 00:23:44,200 --> 00:23:47,360 Speaker 2: Haylee, what are the companies saying about kind of normalized 421 00:23:47,520 --> 00:23:51,200 Speaker 2: growth rates in terms of I guess, unit volume. Where's 422 00:23:51,359 --> 00:23:54,439 Speaker 2: this US economy in terms of just packages? Is it 423 00:23:54,480 --> 00:23:58,720 Speaker 2: a GDP kind of number? Is that kind of the story. 424 00:23:58,800 --> 00:24:00,520 Speaker 6: Yeah, it's a GDP kind of number. But you know, 425 00:24:00,640 --> 00:24:03,200 Speaker 6: UPS wants to grow beyond GDP and and how they're 426 00:24:03,200 --> 00:24:06,000 Speaker 6: going to do that is they've made some pretty significant 427 00:24:06,160 --> 00:24:09,560 Speaker 6: uh not in size necessarily, but in terms of you know, 428 00:24:10,000 --> 00:24:14,800 Speaker 6: capabilities acquisitions. You know, they bought a company Roady, which 429 00:24:15,200 --> 00:24:17,480 Speaker 6: you know it's not a drink on the road, well, 430 00:24:17,600 --> 00:24:20,240 Speaker 6: but it's it's it is. What they do is they 431 00:24:20,280 --> 00:24:24,800 Speaker 6: deliver heavy stuff to people's doors, So think furniture, think 432 00:24:25,240 --> 00:24:29,600 Speaker 6: uh uh, workout equipment, fitness equipment, and that is done 433 00:24:29,640 --> 00:24:32,840 Speaker 6: through more or less an asset light model where you know, 434 00:24:32,880 --> 00:24:37,320 Speaker 6: they're arranging the delivery. So that's that's a very good business. 435 00:24:37,840 --> 00:24:42,000 Speaker 6: They're also invested or acquired a company that does returns 436 00:24:42,040 --> 00:24:44,680 Speaker 6: without box, without having it to box it, so it's 437 00:24:44,680 --> 00:24:48,960 Speaker 6: a lot easier for consumers to you know, either go 438 00:24:49,080 --> 00:24:50,960 Speaker 6: to a UPS store or one of the other drop 439 00:24:51,000 --> 00:24:54,800 Speaker 6: points that UPS provides, uh to to to return something. 440 00:24:54,800 --> 00:24:56,800 Speaker 6: And that's good for UPS because that stuff goes into 441 00:24:56,840 --> 00:24:59,600 Speaker 6: their system and it becomes a B two b uh 442 00:24:59,640 --> 00:25:02,800 Speaker 6: deliver where when we say B to B business business 443 00:25:03,040 --> 00:25:06,119 Speaker 6: and meaning that there's more density, so it's you know, 444 00:25:06,160 --> 00:25:10,879 Speaker 6: they're they're shipping, you know, they're consolidating and shipping twenty 445 00:25:10,920 --> 00:25:13,879 Speaker 6: boxes versus just one envelope, and that tends to be 446 00:25:13,960 --> 00:25:18,800 Speaker 6: more profitable. Uh. And then their investments in the healthcare space, 447 00:25:19,040 --> 00:25:21,359 Speaker 6: you know their goal is to be the largest healthcare 448 00:25:21,400 --> 00:25:26,480 Speaker 6: logistics provider. Healthcare has above average margins for transportation companies 449 00:25:26,840 --> 00:25:30,000 Speaker 6: given the high level of service that's involved there. I 450 00:25:30,119 --> 00:25:34,639 Speaker 6: think temperature control, think you know, uh, the fact that 451 00:25:34,680 --> 00:25:37,200 Speaker 6: it has to get get get somewhere at a very 452 00:25:37,240 --> 00:25:40,959 Speaker 6: specific time. So you know, those are higher, higher margin 453 00:25:41,040 --> 00:25:44,639 Speaker 6: business So you know, I think that those growth areas 454 00:25:44,720 --> 00:25:48,760 Speaker 6: I just mentioned will help them grow their overall volumes 455 00:25:48,800 --> 00:25:51,520 Speaker 6: beyond you know, just GDP numbers. 456 00:25:52,800 --> 00:25:55,919 Speaker 2: All right, just real quickly, Lea, I'm looking at the stock, 457 00:25:56,200 --> 00:25:59,520 Speaker 2: my god, Over the last five years, UPS and FedEx 458 00:26:00,119 --> 00:26:02,960 Speaker 2: both grew at a compounded annuer rate of eight point 459 00:26:03,000 --> 00:26:05,320 Speaker 2: eight percent, spot on below the S and P five 460 00:26:05,359 --> 00:26:09,399 Speaker 2: hundred and thirteen percent. But why do investors own these stock? 461 00:26:09,440 --> 00:26:14,000 Speaker 2: What's the call to own a fed X or UPS? 462 00:26:14,040 --> 00:26:16,760 Speaker 6: Well, Paul, as you know, we don't do a recommendation 463 00:26:16,840 --> 00:26:19,280 Speaker 6: to your bi but you know, it's a really it's 464 00:26:19,320 --> 00:26:22,879 Speaker 6: a play on e commerce. It's a play on the 465 00:26:22,920 --> 00:26:26,879 Speaker 6: global economy. And you know, it's more, it's more and 466 00:26:26,960 --> 00:26:30,199 Speaker 6: more becoming a play on near shoring. You know, the 467 00:26:30,320 --> 00:26:32,800 Speaker 6: ups is and the Fedexes and the dhls of the world, 468 00:26:32,880 --> 00:26:35,600 Speaker 6: even the freight forwarders like a kuninaugl You know, they're 469 00:26:35,640 --> 00:26:38,760 Speaker 6: all going to benefit from the changes and supply chains. 470 00:26:39,000 --> 00:26:41,680 Speaker 6: At supply chains, you know, change and shifts and get 471 00:26:41,720 --> 00:26:47,439 Speaker 6: more complicated. These companies really prove their worth during these times. 472 00:26:47,480 --> 00:26:49,800 Speaker 6: And you know, I think that if if you believe 473 00:26:49,880 --> 00:26:53,439 Speaker 6: in near shoring, if you believe in you know the 474 00:26:53,480 --> 00:26:56,560 Speaker 6: fact that we're going to be buying more online, not less. Uh, 475 00:26:56,920 --> 00:26:59,280 Speaker 6: these are places where you want to be. And it's 476 00:26:59,320 --> 00:27:02,240 Speaker 6: really about the management teams that are in place, whether 477 00:27:02,280 --> 00:27:06,919 Speaker 6: it's UPS or FedEx, can they change their organizations to 478 00:27:07,040 --> 00:27:09,760 Speaker 6: the new normal. It's and it looks like they're both 479 00:27:09,840 --> 00:27:12,560 Speaker 6: doing it. It's not going to be an overnight change. 480 00:27:13,160 --> 00:27:15,560 Speaker 6: It's going to take time because these are very you know, 481 00:27:16,080 --> 00:27:19,399 Speaker 6: huge networks and they and they're not as easy to 482 00:27:19,520 --> 00:27:22,600 Speaker 6: change as it would, you know, changing a menu at 483 00:27:22,640 --> 00:27:23,600 Speaker 6: a restaurant. 484 00:27:23,280 --> 00:27:25,480 Speaker 2: Right right, All right, A league, thanks as always for 485 00:27:25,560 --> 00:27:28,880 Speaker 2: joining us. Lee Lascal, senior transportation analysts of Bloomberg Intelligence, 486 00:27:28,960 --> 00:27:32,560 Speaker 2: joining us from the Princeton offices of Bloomberg. 487 00:27:32,600 --> 00:27:38,080 Speaker 1: Here you're listening to the Bloomberg Intelligence Podcast. Catch us 488 00:27:38,080 --> 00:27:41,480 Speaker 1: live weekdays at ten am Eastern on applecar Play and 489 00:27:41,480 --> 00:27:44,400 Speaker 1: Android Auto with the Bloomberg Business app. You can also 490 00:27:44,480 --> 00:27:48,000 Speaker 1: listen live on Amazon Alexa from our flagship New York station, 491 00:27:48,359 --> 00:27:52,760 Speaker 1: just say Alexa playing Bloomberg eleven thirty PM. 492 00:27:52,760 --> 00:27:57,560 Speaker 2: My data came out here from SMP generally below consensus. 493 00:27:57,600 --> 00:28:00,600 Speaker 2: I guess the composite came into fifty spot nine versus 494 00:28:00,640 --> 00:28:04,240 Speaker 2: fifty two. That was a consensus of fifty two point 495 00:28:04,240 --> 00:28:07,680 Speaker 2: one was for the last period as well. Chris Willimson 496 00:28:07,720 --> 00:28:10,960 Speaker 2: joins us. He's a chief business economist at SMP Global 497 00:28:11,080 --> 00:28:15,159 Speaker 2: Market Intelligence. Chris walk us through kind of what we 498 00:28:15,200 --> 00:28:17,919 Speaker 2: saw here with the pmis for the month of April. 499 00:28:19,800 --> 00:28:22,639 Speaker 7: Yeah, so there's two surveys really, one of manufacturing, one 500 00:28:22,640 --> 00:28:27,400 Speaker 7: of services. So the latter is private sector services. So 501 00:28:27,480 --> 00:28:32,040 Speaker 7: these are this ranges from consumer based services to business services. 502 00:28:32,080 --> 00:28:38,160 Speaker 7: It excludes retail importantly, and it excludes government. Now, both 503 00:28:38,200 --> 00:28:42,320 Speaker 7: of those surveys lost some momentum. Collectively over the first quarter, 504 00:28:42,400 --> 00:28:46,840 Speaker 7: they'd signal fairly decent growth around two percent annualized, with 505 00:28:46,960 --> 00:28:51,120 Speaker 7: that upturn becoming increasingly broad based services led, but manufacturing 506 00:28:51,160 --> 00:28:53,920 Speaker 7: also starting to pick up some momentum. But in April 507 00:28:53,920 --> 00:28:57,160 Speaker 7: we've seen both of those surveys lose some output. Growth pace. 508 00:28:58,160 --> 00:29:01,400 Speaker 7: It's still in expansion territory as far as output's concerned, 509 00:29:01,480 --> 00:29:04,880 Speaker 7: but with growth sort of slipping below the two percent 510 00:29:04,960 --> 00:29:09,720 Speaker 7: annualized GDP rate, that's the signal from it. So looks 511 00:29:09,760 --> 00:29:12,640 Speaker 7: like the second quarter could disappoint compared to the first 512 00:29:12,680 --> 00:29:17,480 Speaker 7: quarter based on these these survey data, as your previous 513 00:29:17,560 --> 00:29:21,320 Speaker 7: interview was referring to these these survey data have been 514 00:29:21,360 --> 00:29:24,560 Speaker 7: a bit softer than recent GDP numbers, so you know 515 00:29:24,600 --> 00:29:26,320 Speaker 7: that needs to be born in mind. 516 00:29:26,280 --> 00:29:28,880 Speaker 2: So any sense of what's driving there, Like, I'm not 517 00:29:28,920 --> 00:29:30,400 Speaker 2: sure how to think about this on a month a 518 00:29:30,440 --> 00:29:32,920 Speaker 2: month basis. Is it just kind of noise month a 519 00:29:32,920 --> 00:29:34,280 Speaker 2: month and I really want to look at it on 520 00:29:34,320 --> 00:29:37,880 Speaker 2: a longer trend or does the slowdown in April does 521 00:29:37,880 --> 00:29:40,520 Speaker 2: that kind of suggest something might be a foot? 522 00:29:41,720 --> 00:29:44,880 Speaker 7: Yeah, it does look like there's been some adjustment to demand, 523 00:29:45,040 --> 00:29:47,800 Speaker 7: so new order inflows, the amount of work flowing into 524 00:29:48,120 --> 00:29:50,400 Speaker 7: manufacturers and service providers that fell for the first time 525 00:29:50,400 --> 00:29:53,640 Speaker 7: in six months in April only. Just it is a 526 00:29:53,680 --> 00:29:56,400 Speaker 7: small decline, but this contrasts with growth of demand that 527 00:29:56,400 --> 00:29:59,200 Speaker 7: we've seen over prior periods, and it looks like you're 528 00:29:59,200 --> 00:30:02,880 Speaker 7: getting some adjust meant here to the financial conditions that 529 00:30:02,920 --> 00:30:08,280 Speaker 7: businesses are facing. So previously we've seen, you know, companies 530 00:30:08,320 --> 00:30:11,840 Speaker 7: look forward to rate cuts and that stimulating demand those 531 00:30:11,880 --> 00:30:15,760 Speaker 7: loosening of financial conditions out and over the course of 532 00:30:15,760 --> 00:30:20,040 Speaker 7: the last few weeks, we've seen further signs that you're 533 00:30:20,080 --> 00:30:22,040 Speaker 7: not going to get all those rate cuts that you hope, 534 00:30:22,200 --> 00:30:25,520 Speaker 7: and indeed market starting to price in now more possibility 535 00:30:25,520 --> 00:30:29,120 Speaker 7: of a rate hike. That's feeding through to markets. It's 536 00:30:29,200 --> 00:30:33,440 Speaker 7: increasing borrowing costs and it looks like that's feeding through 537 00:30:33,520 --> 00:30:37,080 Speaker 7: to the business environment. We've seen. We've seen this creep 538 00:30:37,120 --> 00:30:40,400 Speaker 7: in before in terms of how those financial conditions really 539 00:30:40,440 --> 00:30:43,440 Speaker 7: do seem to quickly affect the demand environment, and it 540 00:30:43,480 --> 00:30:46,040 Speaker 7: looks like that's what we've got here in April, a 541 00:30:46,080 --> 00:30:49,560 Speaker 7: bit of a sort of reality check. Whether this persists 542 00:30:49,600 --> 00:30:51,200 Speaker 7: in coming months is going to be the key thing 543 00:30:51,240 --> 00:30:53,680 Speaker 7: to look out for, but it does look like that, 544 00:30:53,800 --> 00:30:56,880 Speaker 7: certainly going into the second quarter, you're seeing the demand 545 00:30:56,960 --> 00:30:59,680 Speaker 7: environment soften compared to what we've seen previously. 546 00:31:00,000 --> 00:31:02,040 Speaker 2: All right, Chris, thanks so much for joining us. Chris Williamson, 547 00:31:02,120 --> 00:31:05,520 Speaker 2: chief Business Economists at SMP Global Markets, joining us from 548 00:31:05,560 --> 00:31:09,240 Speaker 2: London via zoom and again the SMP Global manufacturing PMI 549 00:31:09,520 --> 00:31:11,000 Speaker 2: for the month of April comme in at forty nine 550 00:31:11,000 --> 00:31:15,000 Speaker 2: point nine. Consensus was fifty two. On the services side, 551 00:31:15,040 --> 00:31:17,960 Speaker 2: it came in at fifty point nine, still expansionary, but 552 00:31:18,040 --> 00:31:21,240 Speaker 2: below the consensus of fifty two, and both of those 553 00:31:21,280 --> 00:31:24,200 Speaker 2: were down from last month, which we're both close to 554 00:31:24,240 --> 00:31:26,320 Speaker 2: fifty two, so again at deceleration there. So when you 555 00:31:26,320 --> 00:31:28,920 Speaker 2: put them all together, the services and manufacturing on a 556 00:31:28,920 --> 00:31:32,760 Speaker 2: composite basis came into fifty point nine versus fifty two. 557 00:31:32,840 --> 00:31:34,920 Speaker 2: So we'll keep an eye on out a slowdown in 558 00:31:35,000 --> 00:31:39,160 Speaker 2: the SMP. It's a survey of manufacturing and service activity 559 00:31:39,160 --> 00:31:42,080 Speaker 2: out there in economy. Economists kind of take a look 560 00:31:42,080 --> 00:31:44,960 Speaker 2: at that to see about the outlook for services and 561 00:31:45,040 --> 00:31:46,040 Speaker 2: for manufacturing. 562 00:31:48,560 --> 00:31:52,440 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 563 00:31:52,520 --> 00:31:56,440 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 564 00:31:56,480 --> 00:31:59,240 Speaker 1: with the Bloomberg Business app. You can also listen live 565 00:31:59,320 --> 00:32:02,520 Speaker 1: on Amazon Alexa from our flagship New York station Just 566 00:32:02,560 --> 00:32:04,800 Speaker 1: Say Alexa playing Bloomberg eleven. 567 00:32:06,560 --> 00:32:08,920 Speaker 2: Emily Rafe is sitting in for Alex Steele and Paul Sweeney. 568 00:32:08,920 --> 00:32:11,040 Speaker 2: We're live here in our Bloomberg Interactive Broker studio. We're 569 00:32:11,040 --> 00:32:15,040 Speaker 2: also streaming live on YouTube dot com, so head over 570 00:32:15,040 --> 00:32:17,840 Speaker 2: there and search Bloomberg Podcast. I'm in the process thanks 571 00:32:17,880 --> 00:32:22,959 Speaker 2: to Emily's tip. I'm in the process of logging into 572 00:32:23,000 --> 00:32:26,000 Speaker 2: and loading clear Space onto my phone the app, and 573 00:32:26,040 --> 00:32:29,960 Speaker 2: that is to limit self, limit my use of certain 574 00:32:30,000 --> 00:32:32,640 Speaker 2: social media things that I feel like are wasting my time. 575 00:32:32,760 --> 00:32:36,320 Speaker 4: Yes, it blocks your access to the apps, and it 576 00:32:36,360 --> 00:32:38,040 Speaker 4: actually makes you do a breathing. 577 00:32:37,720 --> 00:32:39,320 Speaker 7: Exercise, of course, and. 578 00:32:39,280 --> 00:32:43,120 Speaker 4: It gives you a quote and an inspirational quote before 579 00:32:43,240 --> 00:32:45,000 Speaker 4: you log on. So you really have to question, do 580 00:32:45,080 --> 00:32:47,000 Speaker 4: I really want to open social media right now? 581 00:32:47,080 --> 00:32:50,560 Speaker 1: Good? This is like the lock on the liquor cabinet. 582 00:32:50,680 --> 00:32:54,440 Speaker 2: Yes, yes, that's the analogy that from our generation that 583 00:32:54,480 --> 00:32:57,960 Speaker 2: brings us to TikTok, because that's a lot of what 584 00:32:58,200 --> 00:33:02,200 Speaker 2: people are concerned about in TikTok. You know, it looks 585 00:33:02,240 --> 00:33:05,080 Speaker 2: like they might be banned here or forced of a divesture. 586 00:33:05,120 --> 00:33:07,160 Speaker 2: I don't know what's going on, since I'm not a TikToker, 587 00:33:07,160 --> 00:33:10,280 Speaker 2: but I know it's huge because most people are on TikTok. 588 00:33:10,560 --> 00:33:12,720 Speaker 2: Matt Schuttenhelm, I don't know if he's on TikTok. I'm 589 00:33:12,760 --> 00:33:15,240 Speaker 2: gonna guess no, but I don't know. He's a media 590 00:33:15,360 --> 00:33:18,560 Speaker 2: litigation analyst to Bloomberg Intelligence. Yeah, he's a lawyer, but 591 00:33:18,560 --> 00:33:21,600 Speaker 2: we talked to him anyway because he's really really smart. Matt, 592 00:33:21,640 --> 00:33:23,719 Speaker 2: can you tell us what's going on with our good 593 00:33:23,760 --> 00:33:26,920 Speaker 2: friends at TikTok is what is Congress looking to do? 594 00:33:27,880 --> 00:33:31,320 Speaker 8: Yeah, so this bill is really advancing in Congress faster 595 00:33:31,560 --> 00:33:33,480 Speaker 8: than I think many of us expected. 596 00:33:33,560 --> 00:33:33,960 Speaker 1: That. 597 00:33:34,040 --> 00:33:38,280 Speaker 8: The aim of this bill is that to force a 598 00:33:38,320 --> 00:33:42,640 Speaker 8: divestiture of TikTok from byte Edance, which is based in 599 00:33:43,160 --> 00:33:47,040 Speaker 8: China and is the parent company here. And basically the 600 00:33:47,120 --> 00:33:52,680 Speaker 8: bill operates by saying, if that divestiture doesn't happen within 601 00:33:52,800 --> 00:33:56,400 Speaker 8: two hundred and seventy days or maybe there's a potential 602 00:33:56,480 --> 00:33:59,960 Speaker 8: ninety day extension of that, if that divestiture doesn't happen, 603 00:34:00,080 --> 00:34:04,560 Speaker 8: and then TikTok can't be hosted in app stores, or 604 00:34:04,600 --> 00:34:07,959 Speaker 8: it can't be there can be no web hosting of 605 00:34:08,120 --> 00:34:12,440 Speaker 8: the app. So it's effectively a ban if that divestiture 606 00:34:12,480 --> 00:34:14,520 Speaker 8: doesn't happen. And so this has cleared the House of 607 00:34:14,560 --> 00:34:18,400 Speaker 8: Representatives on Saturday. That was their second vote by an 608 00:34:18,480 --> 00:34:23,000 Speaker 8: overwhelming bipartisan majority. Today it's tied up in the Senate, 609 00:34:23,160 --> 00:34:27,160 Speaker 8: and this is tied to the Ukraine Foreign aid package, 610 00:34:27,200 --> 00:34:29,759 Speaker 8: and so it's going to be very unlikely for the 611 00:34:29,800 --> 00:34:33,319 Speaker 8: Senate to resist it, so very likely that this becomes law. 612 00:34:33,400 --> 00:34:36,600 Speaker 8: President Biden has said he'll sign it, and so I 613 00:34:36,640 --> 00:34:39,000 Speaker 8: think we're you know, we're off to the courts now 614 00:34:39,040 --> 00:34:39,720 Speaker 8: on this question. 615 00:34:40,560 --> 00:34:44,800 Speaker 4: What is Congress most concerned about when it comes to TikTok? 616 00:34:44,960 --> 00:34:48,239 Speaker 4: Why have they introduced this legislation? 617 00:34:48,920 --> 00:34:53,560 Speaker 8: Yeah, I think it's it's really motivated by by two concerns. One, 618 00:34:53,880 --> 00:34:57,760 Speaker 8: it's a concern about access to all of this data. 619 00:34:57,840 --> 00:34:59,600 Speaker 8: We have one hundred and fifty one hundred and seventy 620 00:34:59,640 --> 00:35:04,160 Speaker 8: million Americans on this TikTok is collecting all of their 621 00:35:04,239 --> 00:35:08,280 Speaker 8: data about what they're clicking on, and potentially China has 622 00:35:08,520 --> 00:35:13,359 Speaker 8: access to that since byte Dance is located UH with 623 00:35:13,360 --> 00:35:18,720 Speaker 8: within within China. And the other concern is a propaganda concern. 624 00:35:18,920 --> 00:35:23,719 Speaker 8: How much can can China play a role in in 625 00:35:23,719 --> 00:35:29,160 Speaker 8: in dictating the messages that that that TikTok prioritizes and 626 00:35:29,160 --> 00:35:33,440 Speaker 8: and what the messages that it's that it's UH declaring 627 00:35:33,440 --> 00:35:35,560 Speaker 8: to our youth you know that are that are using 628 00:35:35,600 --> 00:35:37,880 Speaker 8: this so so often, so it's sort of those dual 629 00:35:38,000 --> 00:35:40,799 Speaker 8: concerns that that have really driven this. 630 00:35:41,400 --> 00:35:43,640 Speaker 2: And Matt, what have we heard from Bite Dance, if anything, 631 00:35:43,640 --> 00:35:46,120 Speaker 2: what do they intend to do if Congress passes this? 632 00:35:46,760 --> 00:35:49,400 Speaker 8: Yeah, I think I think they've signaled pretty clearly that 633 00:35:49,480 --> 00:35:52,880 Speaker 8: there will be a lawsuit to challenge this, and so 634 00:35:53,080 --> 00:35:56,120 Speaker 8: I think that's going to be the next stage. So 635 00:35:56,160 --> 00:35:59,240 Speaker 8: we saw this when President Trump, before he was against 636 00:35:59,280 --> 00:36:04,000 Speaker 8: a band hetally tried to ban TikTok in twenty twenty, 637 00:36:04,440 --> 00:36:08,560 Speaker 8: and there was litigation about this, brought both by TikTok 638 00:36:08,600 --> 00:36:12,560 Speaker 8: and by TikTok's users. And here the bill itself tells 639 00:36:12,600 --> 00:36:14,840 Speaker 8: us what court that's going to go to. It's the 640 00:36:14,920 --> 00:36:18,520 Speaker 8: d C Circuit here here in Washington. And so I 641 00:36:18,560 --> 00:36:23,399 Speaker 8: think Byte Dance and TikTok are very likely to very 642 00:36:23,520 --> 00:36:27,879 Speaker 8: soon bring this lawsuit challenging Congress's action. 643 00:36:28,680 --> 00:36:33,040 Speaker 4: I think everyone who's on TikTok wants to know, is 644 00:36:33,160 --> 00:36:38,080 Speaker 4: TikTok going to be banned? What is the likelihood right 645 00:36:38,160 --> 00:36:41,480 Speaker 4: now that in a couple months people in the US 646 00:36:41,600 --> 00:36:43,560 Speaker 4: won't be able to use. 647 00:36:43,400 --> 00:36:44,799 Speaker 1: The app YEP. 648 00:36:45,160 --> 00:36:49,000 Speaker 8: So right now there's three moving pieces here. So one 649 00:36:49,040 --> 00:36:52,240 Speaker 8: will Congress pass this, and I think there. The answer 650 00:36:52,520 --> 00:36:55,840 Speaker 8: is very likely yes, and that's likely to happen today 651 00:36:55,920 --> 00:36:58,319 Speaker 8: or tomorrow. President Biden will sign it. Then there are 652 00:36:58,400 --> 00:37:01,680 Speaker 8: two other moving parts. One can TikTok win in the 653 00:37:01,760 --> 00:37:05,279 Speaker 8: courts and stop this with the First Amendment challenge. I 654 00:37:06,120 --> 00:37:08,120 Speaker 8: don't give them very good odds to do that. I 655 00:37:08,160 --> 00:37:11,320 Speaker 8: give them only about a thirty percent chance to succeed 656 00:37:11,920 --> 00:37:15,600 Speaker 8: with the court challenge. Then the last moving pieces can 657 00:37:15,680 --> 00:37:19,480 Speaker 8: there be a divestiture of the app. And that one's 658 00:37:19,520 --> 00:37:23,760 Speaker 8: sort of the big wild card, because what we don't 659 00:37:23,800 --> 00:37:28,880 Speaker 8: know is whether China will permit a divestiture or not. 660 00:37:29,080 --> 00:37:31,839 Speaker 8: It has signaled that it won't approve something like that. 661 00:37:31,880 --> 00:37:33,839 Speaker 8: So even if you put that at a toss up 662 00:37:34,000 --> 00:37:37,000 Speaker 8: fifty percent and you say it's you know, TikTok has 663 00:37:37,040 --> 00:37:40,960 Speaker 8: a thirty percent chance in the courts, you know, there's 664 00:37:41,000 --> 00:37:45,960 Speaker 8: a fairly good chance that the app does disappear in 665 00:37:46,400 --> 00:37:47,040 Speaker 8: the next year. 666 00:37:48,080 --> 00:37:49,240 Speaker 3: How do you ban an app? 667 00:37:51,320 --> 00:37:55,040 Speaker 8: How do you ban technically? Yeah, so, technically the approach 668 00:37:55,080 --> 00:38:00,720 Speaker 8: here is to prevent it from being carried in app stores. 669 00:38:00,840 --> 00:38:06,160 Speaker 8: It can't be updated and made accessible to users in 670 00:38:06,200 --> 00:38:08,680 Speaker 8: the United States, both in the app stores, and then 671 00:38:08,719 --> 00:38:11,480 Speaker 8: it can't be hosted. So this app has to sit 672 00:38:11,520 --> 00:38:14,080 Speaker 8: on a server somewhere that in a way that makes 673 00:38:14,080 --> 00:38:17,440 Speaker 8: it accessible. And the the approach in this legislation is 674 00:38:17,440 --> 00:38:21,200 Speaker 8: that if any company makes it accessible through web hosting 675 00:38:21,400 --> 00:38:25,120 Speaker 8: or through app store access, that they are subject to 676 00:38:25,239 --> 00:38:30,000 Speaker 8: significant penalties and fines in a case brought by the FTC. 677 00:38:30,719 --> 00:38:33,880 Speaker 8: So that's the enforcement mechanism here. It's not directly against 678 00:38:33,960 --> 00:38:37,239 Speaker 8: bytenance or TikTok, it's against those that would would make 679 00:38:37,280 --> 00:38:38,239 Speaker 8: the app available. 680 00:38:38,280 --> 00:38:41,040 Speaker 2: Well, can I just have some server in China or 681 00:38:41,120 --> 00:38:43,839 Speaker 2: somewhere else, you know, overseas do it? 682 00:38:45,320 --> 00:38:48,640 Speaker 8: That might be the workaround. Maybe they'll they'll try to 683 00:38:48,680 --> 00:38:50,440 Speaker 8: do something like that, and then then you have a 684 00:38:50,520 --> 00:38:53,000 Speaker 8: question of how how how well the US could it 685 00:38:53,000 --> 00:38:58,560 Speaker 8: could enforce enforce that. But I guess that that would 686 00:38:58,640 --> 00:39:02,680 Speaker 8: be maybe the next move if if everything else is 687 00:39:03,040 --> 00:39:04,040 Speaker 8: failing for TikTok. 688 00:39:04,200 --> 00:39:06,400 Speaker 2: All right, So, but the bottom line is for you 689 00:39:06,480 --> 00:39:08,200 Speaker 2: lawyer types, you think this is going to go to 690 00:39:08,200 --> 00:39:09,239 Speaker 2: the Supreme Court. 691 00:39:10,239 --> 00:39:13,080 Speaker 8: Well, the d C Circuit gets it first, and I 692 00:39:13,120 --> 00:39:17,880 Speaker 8: think there's a decent chance that the DC Circuit is 693 00:39:17,960 --> 00:39:20,920 Speaker 8: the final word. I think if the d C Circuit 694 00:39:21,000 --> 00:39:23,640 Speaker 8: were to rule for TikTok. And to say that there 695 00:39:23,680 --> 00:39:26,280 Speaker 8: is a First Amendment challenge that's really going to interest 696 00:39:26,320 --> 00:39:28,920 Speaker 8: the Supreme Court. I think that would motivate the Supreme 697 00:39:28,920 --> 00:39:31,040 Speaker 8: Court to take take a look at it. If the 698 00:39:31,160 --> 00:39:35,560 Speaker 8: d C Circuit issues a definitive ruling upholding Congress's law here, 699 00:39:36,160 --> 00:39:38,319 Speaker 8: maybe the Supreme Court says, you know, look, the d 700 00:39:38,400 --> 00:39:40,200 Speaker 8: C Circuit got it right, we don't need to take 701 00:39:40,200 --> 00:39:40,520 Speaker 8: that up. 702 00:39:40,600 --> 00:39:42,640 Speaker 2: Okay, all right, good stuff. That's what we like talking 703 00:39:42,680 --> 00:39:44,920 Speaker 2: to you. We get it straight, the straight poop and 704 00:39:44,960 --> 00:39:46,799 Speaker 2: all the legal stuff. He gives you, like percentages of 705 00:39:46,800 --> 00:39:47,600 Speaker 2: what can actually happen. 706 00:39:47,680 --> 00:39:47,880 Speaker 6: We love. 707 00:39:47,960 --> 00:39:50,520 Speaker 2: That's why we love talking to Matt schelling Helme. He's 708 00:39:50,560 --> 00:39:53,479 Speaker 2: one of those people that doesn't carry cash. That's the big, 709 00:39:53,520 --> 00:39:55,879 Speaker 2: big mark against met schell helm Otherwise he's a great 710 00:39:55,880 --> 00:39:58,960 Speaker 2: attorney and a great litigation analyst for Bloomberg Intelligence. But 711 00:39:58,960 --> 00:40:00,960 Speaker 2: he's like the kids, they don't carry cash. 712 00:40:01,040 --> 00:40:02,680 Speaker 4: You know, we don't need How do you buy how 713 00:40:02,719 --> 00:40:05,640 Speaker 4: do you buy a truck outside the office. They took 714 00:40:05,640 --> 00:40:06,160 Speaker 4: Apple pay. 715 00:40:06,239 --> 00:40:07,000 Speaker 2: They took applepay. 716 00:40:07,000 --> 00:40:11,040 Speaker 1: All right, there you go. This is the Bloomberg Intelligence podcast, 717 00:40:11,200 --> 00:40:15,160 Speaker 1: available on Apple, Spotify, and anywhere else you'll get your podcasts. 718 00:40:15,360 --> 00:40:18,400 Speaker 1: Listen live each weekday, ten am to noon Eastern on 719 00:40:18,480 --> 00:40:21,960 Speaker 1: Bloomberg dot com, the iHeartRadio app, tune In, and the 720 00:40:22,000 --> 00:40:25,240 Speaker 1: Bloomberg Business app. You can also watch us live every 721 00:40:25,239 --> 00:40:28,440 Speaker 1: weekday on YouTube and always on the Bloomberg Terminal