1 00:00:02,720 --> 00:00:10,520 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,560 --> 00:00:14,520 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,560 --> 00:00:17,840 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,880 --> 00:00:21,000 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,320 --> 00:00:23,040 Speaker 1: or watch us live on YouTube. 6 00:00:23,440 --> 00:00:25,880 Speaker 2: It's the Bloomberg Intelligence Radio. We are broadcasting to you 7 00:00:25,920 --> 00:00:29,440 Speaker 2: live from our Interactive broker studio right here in midtown Manhattan. 8 00:00:29,440 --> 00:00:32,160 Speaker 2: All right, So two days later, we finally get GM's 9 00:00:32,240 --> 00:00:35,240 Speaker 2: conference call slashing guidance with up to five billion dollar 10 00:00:35,400 --> 00:00:38,280 Speaker 2: hit from taruffs. Joining US now David Well to Bloomberg 11 00:00:38,320 --> 00:00:39,560 Speaker 2: Detroit Bureau chief. 12 00:00:39,960 --> 00:00:40,240 Speaker 1: David. 13 00:00:40,280 --> 00:00:43,280 Speaker 2: I thought that these offsets that were announced on Monday 14 00:00:43,360 --> 00:00:45,519 Speaker 2: or Tuesday, I forget, my time has no meaning, were 15 00:00:45,520 --> 00:00:48,080 Speaker 2: supposed to help this part from the administration. 16 00:00:49,720 --> 00:00:52,120 Speaker 3: They did. I mean, some analysts had they hit to 17 00:00:52,200 --> 00:00:55,560 Speaker 3: General Motors from tariffs being as high as ten billion dollars. Wow, 18 00:00:55,960 --> 00:00:58,120 Speaker 3: so it did help some. You still have a twenty 19 00:00:58,120 --> 00:01:02,360 Speaker 3: five percent tariff on imported vehicle. This does help offset 20 00:01:02,600 --> 00:01:05,720 Speaker 3: some of the parts tariffs. And I think what GM's 21 00:01:05,760 --> 00:01:09,039 Speaker 3: hoping for here is that eventually the Trump administration gets 22 00:01:09,080 --> 00:01:13,520 Speaker 3: trade deals with South Korea for example, and some something 23 00:01:13,560 --> 00:01:17,480 Speaker 3: new with USMCA, because that's where GM's really taking a 24 00:01:17,480 --> 00:01:20,080 Speaker 3: big hit. Here are those countries in terms of where 25 00:01:20,080 --> 00:01:24,840 Speaker 3: they get imported vehicles from, and so it's four to 26 00:01:24,920 --> 00:01:26,880 Speaker 3: five billion dollars. Two billion of that is from the 27 00:01:26,959 --> 00:01:30,680 Speaker 3: vehicles they important, the rest is parts. So if the 28 00:01:30,720 --> 00:01:33,960 Speaker 3: automotisy wants to escape heavy hit from tariffs, there's still 29 00:01:33,959 --> 00:01:35,920 Speaker 3: a lot more to be done in terms of either 30 00:01:36,000 --> 00:01:38,440 Speaker 3: resourcing parts or getting some new trade deals. 31 00:01:39,080 --> 00:01:41,640 Speaker 4: So, David, is the expectation this is kind of a 32 00:01:41,640 --> 00:01:46,479 Speaker 4: worst case scenario, or this is a company positioning that as, hey, 33 00:01:46,520 --> 00:01:47,960 Speaker 4: this is kind of what we know when this is 34 00:01:48,040 --> 00:01:49,320 Speaker 4: kind of our best guess. 35 00:01:51,120 --> 00:01:53,880 Speaker 3: It's what they know based on the structure of the 36 00:01:53,920 --> 00:01:59,320 Speaker 3: tariffs right now. So let's say next week the Trump 37 00:01:59,360 --> 00:02:02,240 Speaker 3: administration cut a deal to lower tariffs with South Korea. 38 00:02:02,920 --> 00:02:06,360 Speaker 3: GM gets a couple hundred thousand vehicles, all entry level 39 00:02:06,440 --> 00:02:12,359 Speaker 3: models from its factories in Korea. That would lower this burden. 40 00:02:12,480 --> 00:02:16,800 Speaker 3: If they got something that would reduce the tariffs on 41 00:02:16,840 --> 00:02:20,600 Speaker 3: the non US parts in vehicles. GM makes some Canada 42 00:02:20,680 --> 00:02:24,760 Speaker 3: and Mexico that would also give them some relief. But 43 00:02:24,880 --> 00:02:27,080 Speaker 3: right now those are the so called Ventanyl tariffs with 44 00:02:27,520 --> 00:02:30,600 Speaker 3: Canada and Mexico. Those are still hanging out there. Those 45 00:02:30,639 --> 00:02:34,320 Speaker 3: are still in force here, So they would need something 46 00:02:35,040 --> 00:02:36,960 Speaker 3: that would either lower that or get rid of those 47 00:02:37,040 --> 00:02:39,799 Speaker 3: to really get this burden down unless they start relocating 48 00:02:39,880 --> 00:02:41,400 Speaker 3: vehicles and doing things like that. 49 00:02:42,000 --> 00:02:45,400 Speaker 4: David earlier the Wall Street Journal reporting that the board 50 00:02:45,520 --> 00:02:49,200 Speaker 4: at Tesla may have started efforts to take a look 51 00:02:49,240 --> 00:02:51,840 Speaker 4: at a search for a new chief executive officer to 52 00:02:51,919 --> 00:02:54,960 Speaker 4: succeed Elon Musk. What's your take on. 53 00:02:54,880 --> 00:03:01,400 Speaker 3: That big company denied it about these things when there's 54 00:03:01,440 --> 00:03:05,920 Speaker 3: there's a story written with conviction, uh, and then a 55 00:03:06,000 --> 00:03:09,919 Speaker 3: denial with conviction. You know, you do wonder if maybe 56 00:03:10,040 --> 00:03:13,480 Speaker 3: some people on the board started talking to other executives 57 00:03:14,000 --> 00:03:16,320 Speaker 3: or executive search firms out there to get some ideas. 58 00:03:16,320 --> 00:03:19,960 Speaker 3: But it wasn't maybe an official board search. That's me speculating, 59 00:03:20,040 --> 00:03:24,519 Speaker 3: But look, Elon Musk has a lot of interest here 60 00:03:24,560 --> 00:03:27,880 Speaker 3: and this has always been an issue with Tesla's shareholders. 61 00:03:28,320 --> 00:03:31,360 Speaker 3: And this is well before he was in the Trump 62 00:03:31,400 --> 00:03:35,480 Speaker 3: administration and politically active with Doge. He had the boring 63 00:03:35,600 --> 00:03:39,680 Speaker 3: company of course has SpaceX. Then he got Twitter now 64 00:03:39,960 --> 00:03:42,800 Speaker 3: X and he's got Tesla, and then you add him 65 00:03:42,920 --> 00:03:45,800 Speaker 3: to a big government role, and this is somebody who 66 00:03:45,960 --> 00:03:49,280 Speaker 3: has a lot of different things going on. And when 67 00:03:49,320 --> 00:03:53,560 Speaker 3: Tesla starts to struggle shareholders and the board has to 68 00:03:53,600 --> 00:03:56,840 Speaker 3: do it's fiduciary duty. If shareholders are asking questions, maybe 69 00:03:56,840 --> 00:03:59,360 Speaker 3: there's maybe they're asking questions about when this guy is 70 00:03:59,400 --> 00:04:01,800 Speaker 3: going to come back in the chair, and if he's not, 71 00:04:01,840 --> 00:04:03,600 Speaker 3: then they need someone who's going to really take a 72 00:04:03,640 --> 00:04:05,560 Speaker 3: look at getting their sales turned around. 73 00:04:06,760 --> 00:04:08,960 Speaker 2: If Elon Musk goes back, as it looks like he 74 00:04:09,040 --> 00:04:12,640 Speaker 2: will to Tesla, does all the problem just go away? 75 00:04:14,600 --> 00:04:14,680 Speaker 5: Now? 76 00:04:14,800 --> 00:04:17,480 Speaker 3: It doesn't mean Tesla's got some real issues here. The 77 00:04:17,520 --> 00:04:20,239 Speaker 3: product line is very stale, right. Most of these vehicles, 78 00:04:20,360 --> 00:04:23,240 Speaker 3: the model esc goes back twelve years and the other 79 00:04:23,680 --> 00:04:26,080 Speaker 3: vehicles in the lineup, with the exception of cyber truck, 80 00:04:26,200 --> 00:04:29,600 Speaker 3: all kind of carry the same basic styling on the exterior, right, 81 00:04:29,720 --> 00:04:32,320 Speaker 3: So nothing looks fresh. The cyber truck is obviously very 82 00:04:32,320 --> 00:04:34,280 Speaker 3: fresh and different, but it's a niche product. It's an 83 00:04:34,320 --> 00:04:37,320 Speaker 3: expensive pickup truck that a lot of people think is 84 00:04:37,360 --> 00:04:41,640 Speaker 3: pretty weird looking. So this is a company with stale product. 85 00:04:41,680 --> 00:04:45,400 Speaker 3: A lot of new competition from the Korean automakers in 86 00:04:45,440 --> 00:04:50,120 Speaker 3: the US from General motors, heavy competition in China. European automakers, 87 00:04:50,200 --> 00:04:52,640 Speaker 3: especially on the high end, have a lot of new 88 00:04:52,680 --> 00:04:56,120 Speaker 3: EV's in Europe, so they don't have an Olagaboli like 89 00:04:56,160 --> 00:04:59,000 Speaker 3: they did five years ago, and they just haven't freshened 90 00:04:59,080 --> 00:05:01,400 Speaker 3: up the product line. And then there's there's the AI 91 00:05:01,520 --> 00:05:05,600 Speaker 3: and the autonomy UH strategy of Tesla's. I think that's 92 00:05:05,640 --> 00:05:07,719 Speaker 3: going to take a while. It took Waynwell a very 93 00:05:07,720 --> 00:05:12,240 Speaker 3: long time of testing vehicles on public roads to actually 94 00:05:12,279 --> 00:05:15,200 Speaker 3: launch a service. Tesla hasn't done any of that yet. 95 00:05:15,240 --> 00:05:18,840 Speaker 3: So you're looking at turning around a product line that's 96 00:05:18,880 --> 00:05:21,320 Speaker 3: pretty stale in the face of tough competition, and you're 97 00:05:21,360 --> 00:05:26,559 Speaker 3: looking at going from you know, an announcement last year 98 00:05:26,880 --> 00:05:31,680 Speaker 3: on autonomous vehicles to robotaxis on the road, which took 99 00:05:31,720 --> 00:05:35,839 Speaker 3: Waymewell about at least a decade. These are things that 100 00:05:35,680 --> 00:05:39,960 Speaker 3: that are difficult to do, and you know, getting an 101 00:05:40,000 --> 00:05:42,440 Speaker 3: active CEO back in the chair helps, but it's still 102 00:05:42,520 --> 00:05:45,000 Speaker 3: it's still a lot of heavy lifting to get those 103 00:05:45,000 --> 00:05:45,800 Speaker 3: initiatives going. 104 00:05:46,720 --> 00:05:48,480 Speaker 4: All right, David, thank you so much. Appreciate a lot 105 00:05:48,520 --> 00:05:51,360 Speaker 4: going on in the world of the automobile. David Walsh, 106 00:05:51,360 --> 00:05:53,360 Speaker 4: Bloomberg Detroit, a bureau chief. 107 00:05:55,200 --> 00:05:58,919 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 108 00:05:59,000 --> 00:06:02,359 Speaker 1: weekdays at ten an on Apple, colocklay and Android Auto 109 00:06:02,480 --> 00:06:05,560 Speaker 1: with the Bloomberg Business App. Listen on demand wherever you 110 00:06:05,560 --> 00:06:08,560 Speaker 1: get your podcasts, or watch us live on YouTube. 111 00:06:09,279 --> 00:06:12,000 Speaker 2: All right, let's get more on Cole's here. That stock 112 00:06:12,560 --> 00:06:18,680 Speaker 2: readjusting after we saw the CEO being ousted from inappropriate 113 00:06:18,720 --> 00:06:21,400 Speaker 2: behavior and a probe that uncovers personal ties to the vendor. 114 00:06:21,480 --> 00:06:23,680 Speaker 2: Yet but overall, like the stock's not done well, as 115 00:06:23,720 --> 00:06:26,400 Speaker 2: Nora was saying, Mary Ross Gilbert s Bloomberg Intelligence senior 116 00:06:26,440 --> 00:06:29,720 Speaker 2: equity analyst who covers retail for us. Hey, Mary, if 117 00:06:29,760 --> 00:06:32,159 Speaker 2: we just take out this ten minute pop, ten minute, 118 00:06:32,160 --> 00:06:36,120 Speaker 2: ten percent pop on the CEO ouster, how is Coles 119 00:06:36,160 --> 00:06:36,880 Speaker 2: actually doing? 120 00:06:38,440 --> 00:06:42,200 Speaker 6: So that's a good question, Alex, So really, what's happening here? Yes, 121 00:06:42,279 --> 00:06:45,279 Speaker 6: we had the news that the CEO was ousted, but 122 00:06:45,360 --> 00:06:48,880 Speaker 6: that that's a big It's big news, right because now 123 00:06:48,880 --> 00:06:52,400 Speaker 6: we have Michael Bender stepping in as CEO, and he's 124 00:06:52,440 --> 00:06:55,160 Speaker 6: the fourth and under three years. But let's give you 125 00:06:55,200 --> 00:06:58,440 Speaker 6: a little bit of a backdrop since twenty twenty one, 126 00:06:58,520 --> 00:07:02,280 Speaker 6: when the company added so far Warris shops to their stores. 127 00:07:03,160 --> 00:07:06,320 Speaker 6: Their revenues have fallen two point two billion, but in 128 00:07:06,360 --> 00:07:09,360 Speaker 6: the meantime, so Fura added one point eight billion, So 129 00:07:09,360 --> 00:07:12,880 Speaker 6: that means that their revenues are down almost five billion 130 00:07:13,280 --> 00:07:16,160 Speaker 6: away from Beauty, So that kind of gives you the 131 00:07:16,160 --> 00:07:21,640 Speaker 6: backdrop of what's happening operationally here and with these different CEOs, 132 00:07:21,640 --> 00:07:24,560 Speaker 6: nobody has seemed to find the formula of how to 133 00:07:24,600 --> 00:07:27,760 Speaker 6: get back to growth. The reason why the stock has 134 00:07:27,800 --> 00:07:30,200 Speaker 6: popped today is really because they came out with their 135 00:07:30,240 --> 00:07:34,000 Speaker 6: first quarter preliminary figures showing that their comp sales were 136 00:07:34,000 --> 00:07:37,000 Speaker 6: down four to four point three percent, when the company 137 00:07:37,080 --> 00:07:40,640 Speaker 6: was guiding down six percent and consensus was at down 138 00:07:40,840 --> 00:07:45,320 Speaker 6: six point four percent, and earnings were even higher. So 139 00:07:46,200 --> 00:07:49,560 Speaker 6: what I mean by higher is from an operating income perspective, 140 00:07:49,600 --> 00:07:53,920 Speaker 6: consensus was at six million, and they're guiding to, you know, 141 00:07:54,000 --> 00:07:57,480 Speaker 6: somewhere around forty million, So that's much better. And so 142 00:07:57,680 --> 00:08:00,280 Speaker 6: from an EPs perspective, the loss is going to be 143 00:08:00,280 --> 00:08:03,480 Speaker 6: about half of what analysts expected, and that's really the 144 00:08:03,520 --> 00:08:06,400 Speaker 6: pop and the good news here is that the company 145 00:08:06,520 --> 00:08:09,440 Speaker 6: is rich in real estate, and so if you look 146 00:08:09,480 --> 00:08:12,200 Speaker 6: at the value potential value of the real estate holdings, 147 00:08:12,240 --> 00:08:15,360 Speaker 6: which could be nearly six billion, And if you look 148 00:08:15,400 --> 00:08:17,640 Speaker 6: at their stock and where it's trading and how it's 149 00:08:17,720 --> 00:08:21,200 Speaker 6: valuing the business, that's under five billion. So that kind 150 00:08:21,200 --> 00:08:23,680 Speaker 6: of gives you, I sort of a framework. 151 00:08:23,760 --> 00:08:25,640 Speaker 4: When you start going to the value of the real estate, 152 00:08:25,960 --> 00:08:28,440 Speaker 4: then you know the business. It's never a good sign trouble. 153 00:08:28,640 --> 00:08:31,040 Speaker 4: We did that with Macy's and the value of their 154 00:08:31,040 --> 00:08:35,360 Speaker 4: air rights in Manhattan. That's not good. So, Mary, what 155 00:08:35,720 --> 00:08:37,920 Speaker 4: is Cole saying? What are some of the retailers that 156 00:08:37,920 --> 00:08:41,880 Speaker 4: you cover. What are they saying about tariffs, their ability 157 00:08:41,920 --> 00:08:44,360 Speaker 4: to manage terrorsts, how much they will take in their 158 00:08:44,360 --> 00:08:46,920 Speaker 4: profit margin versus how much they'll try to pass along 159 00:08:46,920 --> 00:08:47,640 Speaker 4: to consumers. 160 00:08:48,600 --> 00:08:52,360 Speaker 6: Paul, You're right, tariffs is really a big issue, and 161 00:08:52,400 --> 00:08:56,000 Speaker 6: there was no commentary regarding that, neither in this call 162 00:08:56,080 --> 00:08:56,960 Speaker 6: and neither in their. 163 00:08:56,880 --> 00:08:57,760 Speaker 5: Fourth quarter call. 164 00:08:57,840 --> 00:09:01,600 Speaker 6: But we do know that roughly thirty over thirty percent 165 00:09:01,760 --> 00:09:07,120 Speaker 6: of their revenues they directly import. So there is going 166 00:09:07,160 --> 00:09:09,680 Speaker 6: to be a hit here or some sort of exposure. 167 00:09:10,120 --> 00:09:13,200 Speaker 6: And we're still early in the earnings for the first quarter, 168 00:09:13,320 --> 00:09:15,360 Speaker 6: because that's where we're going to really get an update. 169 00:09:15,440 --> 00:09:19,520 Speaker 6: Because when these companies reported their fourth quarter earnings. We 170 00:09:19,559 --> 00:09:22,559 Speaker 6: were talking about tariffs in that sort of twenty percent 171 00:09:23,200 --> 00:09:26,160 Speaker 6: range and now we're at one forty five for China. 172 00:09:26,880 --> 00:09:31,400 Speaker 6: So yeah, so we're going to learn more obviously when 173 00:09:31,480 --> 00:09:34,360 Speaker 6: we get the call, but for now there's not a 174 00:09:34,400 --> 00:09:36,560 Speaker 6: lot of disclosure around it, but we do know there 175 00:09:36,640 --> 00:09:37,280 Speaker 6: is an impact. 176 00:09:37,520 --> 00:09:39,480 Speaker 4: All right, Mary, thank you so much. We always appreciate 177 00:09:39,480 --> 00:09:42,240 Speaker 4: getting your thoughts on the global retailers here, Mary Ross, 178 00:09:42,280 --> 00:09:45,880 Speaker 4: Gilbert Bloomberg Intelligence Senior Equdannilysty covers the retail space. 179 00:09:47,640 --> 00:09:51,320 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 180 00:09:51,440 --> 00:09:54,520 Speaker 1: weekdays at ten am Eastern on appleclock Lay and Android 181 00:09:54,520 --> 00:09:57,840 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 182 00:09:57,880 --> 00:10:01,400 Speaker 1: you get your podcasts, or watch us live on YouTube. 183 00:10:02,040 --> 00:10:03,880 Speaker 4: One of the big stories here today from an earning's 184 00:10:03,920 --> 00:10:07,440 Speaker 4: perspective is Facebook. Some of the kids call it meta 185 00:10:07,920 --> 00:10:10,920 Speaker 4: metaight stocks up six percent here today on some pretty 186 00:10:10,920 --> 00:10:13,560 Speaker 4: solid numbers. And you want to talk about this company, 187 00:10:13,679 --> 00:10:15,480 Speaker 4: There's really only a couple of folks you want to 188 00:10:15,480 --> 00:10:17,880 Speaker 4: talk to, and one of them is David Kirkpatrick, founder 189 00:10:17,920 --> 00:10:20,679 Speaker 4: of Techomanie in New York, and of course he is 190 00:10:20,720 --> 00:10:24,120 Speaker 4: the author of what I think remains the definitive book 191 00:10:24,160 --> 00:10:26,439 Speaker 4: about Facebook in the early days of Facebook. It's called 192 00:10:26,480 --> 00:10:29,880 Speaker 4: The Facebook Effect. It's a great book, highly recommended. Hey David, 193 00:10:30,400 --> 00:10:32,760 Speaker 4: what do you make of the numbers coming out of 194 00:10:33,080 --> 00:10:34,200 Speaker 4: Meta these days? 195 00:10:34,880 --> 00:10:36,840 Speaker 5: Well, thanks, Paul, thanks for your nice comments. 196 00:10:37,480 --> 00:10:40,800 Speaker 7: Well, Meta really is the kind of Bellweather I think 197 00:10:40,840 --> 00:10:44,840 Speaker 7: for what's happening with the digital economy, and their numbers 198 00:10:44,920 --> 00:10:48,760 Speaker 7: were quite surprisingly good, almost spectacular, you might say. 199 00:10:48,960 --> 00:10:51,600 Speaker 5: I mean, they've been delivering very steadily for a long time. 200 00:10:52,120 --> 00:10:56,800 Speaker 7: But I think the most important thing that their numbers indicated, 201 00:10:56,800 --> 00:11:00,560 Speaker 7: in the comments that Zuckerberg made yesterday, indicated are that, 202 00:11:00,720 --> 00:11:06,000 Speaker 7: you know, this very crazy, unpredictable economic environment we're in 203 00:11:06,080 --> 00:11:10,440 Speaker 7: right now, which you were just discussing regarding retail, is 204 00:11:10,559 --> 00:11:11,560 Speaker 7: not likely. 205 00:11:11,400 --> 00:11:14,600 Speaker 5: To affect these companies as much as some feared, at 206 00:11:14,679 --> 00:11:17,320 Speaker 5: least in the near term. And that's really good news. 207 00:11:17,520 --> 00:11:19,880 Speaker 7: There's a whole lot about AI and other stuff that 208 00:11:19,920 --> 00:11:23,320 Speaker 7: we learned about what they're doing that was quite spectacular also. 209 00:11:23,640 --> 00:11:25,520 Speaker 2: Yeah, so let's get to that. So, as you mentioned, 210 00:11:25,559 --> 00:11:27,560 Speaker 2: the advertising business, which is ninety eight percent of the 211 00:11:27,559 --> 00:11:29,160 Speaker 2: company's revenue, is continued to grow. 212 00:11:29,280 --> 00:11:30,200 Speaker 8: So check that box. 213 00:11:30,480 --> 00:11:32,520 Speaker 2: Let's get to the AI because they unveiled a new 214 00:11:32,600 --> 00:11:36,840 Speaker 2: standalone AI app called Meta AI. What is that? What's 215 00:11:36,880 --> 00:11:37,600 Speaker 2: it going to do for me? 216 00:11:38,960 --> 00:11:41,480 Speaker 5: Well, thanks, Alex Meda. 217 00:11:41,520 --> 00:11:43,920 Speaker 7: You know, Meta is one of the top players in AI, 218 00:11:44,000 --> 00:11:44,760 Speaker 7: there's no question. 219 00:11:45,200 --> 00:11:48,200 Speaker 5: And they are spending an extraordinary amount on this. 220 00:11:48,360 --> 00:11:52,440 Speaker 7: I mean they up their capital expenditure estimate to up 221 00:11:52,480 --> 00:11:55,319 Speaker 7: to seventy two billion from a high of sixty five billion, 222 00:11:55,360 --> 00:11:58,880 Speaker 7: and that's like a huge percentage above last year which 223 00:11:58,960 --> 00:12:03,760 Speaker 7: was under forty billion. So they're really really ranking really 224 00:12:03,800 --> 00:12:07,800 Speaker 7: hard on data center investment and AAR. And what they 225 00:12:07,840 --> 00:12:09,520 Speaker 7: want to do is they want to compete head to 226 00:12:09,559 --> 00:12:13,240 Speaker 7: head with chat, GPT and all the other claud et cetera, 227 00:12:13,320 --> 00:12:16,640 Speaker 7: all the other AIS that are directed particularly at consumers. 228 00:12:17,160 --> 00:12:20,400 Speaker 7: And they have a unique advantage in doing that because 229 00:12:20,520 --> 00:12:24,880 Speaker 7: they have this extraordinary, unique trove of data about all 230 00:12:24,920 --> 00:12:28,080 Speaker 7: of us that they have been accumulating for decades and 231 00:12:28,160 --> 00:12:30,760 Speaker 7: they can use that in the training of the AI 232 00:12:30,880 --> 00:12:34,720 Speaker 7: to customize and personalize the results they give to people 233 00:12:35,040 --> 00:12:38,800 Speaker 7: in a way that could be a major competitive differentiator 234 00:12:38,800 --> 00:12:40,720 Speaker 7: down the road. And of course they'll use it in 235 00:12:40,760 --> 00:12:42,880 Speaker 7: all the normal ways, you know, they bring it into. 236 00:12:42,640 --> 00:12:44,040 Speaker 5: A WhatsApp, Chat, et cetera. 237 00:12:44,480 --> 00:12:48,240 Speaker 7: But they I think are extremely well positioned to become 238 00:12:48,480 --> 00:12:52,760 Speaker 7: a very very major force in especially consumer AI. 239 00:12:53,360 --> 00:12:55,480 Speaker 4: And Alexander Cockter parties. People often come up to me 240 00:12:55,520 --> 00:12:58,000 Speaker 4: and say, hey, Paul, give me an example of AI. 241 00:12:58,559 --> 00:13:01,520 Speaker 4: An example I give is just what David explained to you. 242 00:13:01,600 --> 00:13:04,880 Speaker 4: So long these advertising companies like Google and Facebook, they 243 00:13:04,960 --> 00:13:08,520 Speaker 4: can really get to know who the consumer is better 244 00:13:08,559 --> 00:13:10,440 Speaker 4: and better and better and then charge more for the ads. 245 00:13:10,520 --> 00:13:12,240 Speaker 8: I mean, and that's what kind of what I think, right. 246 00:13:12,080 --> 00:13:15,000 Speaker 7: Well, that's true too, yeah, I mean, they're customizing the 247 00:13:15,040 --> 00:13:16,000 Speaker 7: ads using AI. 248 00:13:16,120 --> 00:13:18,199 Speaker 5: That's the thing I didn't even mention. I'm talking about the. 249 00:13:18,160 --> 00:13:21,320 Speaker 7: Results before, but the ads themselves will be far more 250 00:13:21,320 --> 00:13:22,320 Speaker 7: accurately targeted. 251 00:13:22,320 --> 00:13:24,360 Speaker 5: And they're already doing that tremendously often. 252 00:13:24,559 --> 00:13:26,480 Speaker 2: And isn't that just like free training because you have 253 00:13:26,559 --> 00:13:30,920 Speaker 2: all the input from Instagram and threads and Facebook and 254 00:13:30,920 --> 00:13:31,200 Speaker 2: all that. 255 00:13:32,480 --> 00:13:35,160 Speaker 7: Absolutely, they have the best train one of the best 256 00:13:35,160 --> 00:13:39,640 Speaker 7: training maybe the best training purpose for consumer. 257 00:13:39,160 --> 00:13:41,160 Speaker 5: AI that anybody has. 258 00:13:41,200 --> 00:13:43,720 Speaker 7: I mean, this is the thing that has differentiated Facebook 259 00:13:43,720 --> 00:13:47,400 Speaker 7: and Meta from the beginning was the depth and volume 260 00:13:47,559 --> 00:13:51,320 Speaker 7: of their data about individuals. It continues to get more 261 00:13:51,360 --> 00:13:54,040 Speaker 7: and more rich and they're figuring out new ways to 262 00:13:54,120 --> 00:13:56,320 Speaker 7: mine it in the age of AI, and that is 263 00:13:56,360 --> 00:13:58,200 Speaker 7: going to be a huge advantage. 264 00:13:58,360 --> 00:14:00,880 Speaker 4: Hey, Dave, you look at this stock chart. Since it's IPO, 265 00:14:00,960 --> 00:14:03,920 Speaker 4: the only thing that's ever derailed this stock has been 266 00:14:04,120 --> 00:14:08,400 Speaker 4: the metaverse. What's the latest on that whole thing? How 267 00:14:08,400 --> 00:14:09,320 Speaker 4: are you positioning it? 268 00:14:10,320 --> 00:14:12,679 Speaker 7: Well, they don't talk about it nearly as much as 269 00:14:12,720 --> 00:14:16,240 Speaker 7: they did, but you know, I think what they're finding 270 00:14:16,440 --> 00:14:19,400 Speaker 7: is that there may be an overlap between the metaverse 271 00:14:19,440 --> 00:14:21,920 Speaker 7: and AI. And you know, they're they're one of the 272 00:14:21,920 --> 00:14:24,760 Speaker 7: things that I'd say they got into because of their 273 00:14:24,760 --> 00:14:28,200 Speaker 7: metaverse obsession is hardware, and they are now saying that 274 00:14:28,240 --> 00:14:32,760 Speaker 7: their hardware business, their ray Ban AI glasses, their Quest 275 00:14:33,160 --> 00:14:37,560 Speaker 7: gaming and other virtual reality headsets, those are going to 276 00:14:37,600 --> 00:14:40,680 Speaker 7: be an incredible entree into the world of AI. And 277 00:14:40,720 --> 00:14:44,120 Speaker 7: I think what we'll see is that they dovetail their 278 00:14:44,160 --> 00:14:48,400 Speaker 7: work in metaverse in immersive content. 279 00:14:48,640 --> 00:14:51,000 Speaker 5: With their work in AI. I don't think we can 280 00:14:51,080 --> 00:14:52,800 Speaker 5: exactly predict how that's going to. 281 00:14:52,840 --> 00:14:56,840 Speaker 7: Happen, but certainly, you know, glasses that sort of look 282 00:14:56,880 --> 00:15:01,160 Speaker 7: at the world around you and make give you answers 283 00:15:01,200 --> 00:15:04,120 Speaker 7: and information about everything you see. That's something we can 284 00:15:04,160 --> 00:15:07,040 Speaker 7: all use, and it's starting to happen, and they would 285 00:15:07,120 --> 00:15:10,120 Speaker 7: not be in that position had they not made that many, 286 00:15:10,240 --> 00:15:13,200 Speaker 7: many tens of billions dollar investment in Metaverse. 287 00:15:13,320 --> 00:15:15,280 Speaker 5: Now was that a good investment? I don't know. I 288 00:15:15,280 --> 00:15:16,720 Speaker 5: don't think Zuckerberg. 289 00:15:16,280 --> 00:15:19,320 Speaker 7: Would today say that metaverse is their future the way 290 00:15:19,360 --> 00:15:22,680 Speaker 7: he did not very long real clearly AI is the future, 291 00:15:22,720 --> 00:15:23,720 Speaker 7: but there will be an. 292 00:15:23,640 --> 00:15:26,920 Speaker 2: Overlat Just some breaking news here for you. Apparently the 293 00:15:27,040 --> 00:15:30,920 Speaker 2: US is now weighing easing Navidia Chip curbs on the UAE. 294 00:15:31,040 --> 00:15:34,240 Speaker 2: This comes as Trump is planning a visit to the region. 295 00:15:34,240 --> 00:15:36,960 Speaker 2: Apparently it's his first overseas trip aside from going to 296 00:15:37,000 --> 00:15:40,320 Speaker 2: the Pope s funeral, so that is definitely quite interesting. 297 00:15:40,440 --> 00:15:42,440 Speaker 2: In Vidia and other tech companies have been pushing for 298 00:15:42,480 --> 00:15:45,920 Speaker 2: this us A rule change, and Trump said President Trump 299 00:15:46,040 --> 00:15:49,320 Speaker 2: sad to visit the UAE on a golf trip coming 300 00:15:49,440 --> 00:15:51,920 Speaker 2: later this month. All right, David, we're gonna leave it there. 301 00:15:52,000 --> 00:15:55,280 Speaker 2: David Kirkpatrick joining us one of the best. He literally 302 00:15:55,320 --> 00:15:58,160 Speaker 2: wrote the book on Facebook, founder of Teconomy, helping us 303 00:15:58,160 --> 00:16:02,240 Speaker 2: to break through meta earnings. Here's my question. Oh well, 304 00:16:02,320 --> 00:16:04,560 Speaker 2: went away, look at that question. Oh video and video 305 00:16:04,560 --> 00:16:06,600 Speaker 2: got a celebrating yesterday from Seagate. Did you see that? 306 00:16:06,640 --> 00:16:07,400 Speaker 4: I did not see that. 307 00:16:07,440 --> 00:16:10,120 Speaker 2: Say AI is priced in and their customers are going 308 00:16:10,160 --> 00:16:11,520 Speaker 2: to start making their own AI check. 309 00:16:11,640 --> 00:16:15,160 Speaker 4: Interesting. The stocks up five percent today, so a good 310 00:16:15,200 --> 00:16:17,680 Speaker 4: move here, and again seems like when you think about 311 00:16:17,680 --> 00:16:20,360 Speaker 4: these TIFFs, I think what we learned from the first 312 00:16:20,440 --> 00:16:23,760 Speaker 4: Trump presidency to now is a very fluid situation. There's 313 00:16:23,800 --> 00:16:27,000 Speaker 4: an announcement, then there's some negotiation, then there's some walk back, 314 00:16:27,000 --> 00:16:29,560 Speaker 4: there's some change, and you're not really sure where you're 315 00:16:29,560 --> 00:16:31,920 Speaker 4: going to end up. I just go back and look 316 00:16:31,920 --> 00:16:33,720 Speaker 4: at kind of how everybody behaved back in the first 317 00:16:33,800 --> 00:16:37,400 Speaker 4: Trump administration. Stock market did okay? I mean, it's just everything. 318 00:16:37,400 --> 00:16:38,280 Speaker 5: It just relaxs. 319 00:16:38,280 --> 00:16:41,360 Speaker 2: Really with the UA is not China, I don't know. 320 00:16:41,560 --> 00:16:45,600 Speaker 4: I would suggest maybe those conversations are ongoing and we'll see, 321 00:16:45,640 --> 00:16:47,480 Speaker 4: but it gives us something to talk about. 322 00:16:49,040 --> 00:16:52,760 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 323 00:16:52,840 --> 00:16:55,920 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 324 00:16:55,960 --> 00:16:59,240 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 325 00:16:59,280 --> 00:17:02,600 Speaker 1: you get your pod, or watch us live on YouTube. 326 00:17:03,080 --> 00:17:05,800 Speaker 4: Let's check in with the professional here, Marsha McGregor, head 327 00:17:05,840 --> 00:17:09,639 Speaker 4: of Portfolio Strategy, where the CIO at Meryl and Bank 328 00:17:09,760 --> 00:17:13,840 Speaker 4: of America Private Bank. I like keeping the Meryl name 329 00:17:14,080 --> 00:17:18,119 Speaker 4: because the Meryl names wanted the great names on the 330 00:17:18,160 --> 00:17:20,040 Speaker 4: makes a title really long. But I would have kept 331 00:17:20,080 --> 00:17:23,280 Speaker 4: Marylyn the name. I worked at Maryland, so the Thundering 332 00:17:23,359 --> 00:17:25,040 Speaker 4: heard all that kind of stuff. I think when I 333 00:17:25,040 --> 00:17:26,960 Speaker 4: worked at Meryl's a biker, I felt like we could 334 00:17:26,960 --> 00:17:29,720 Speaker 4: get any deal. I don't care who I was competing against. 335 00:17:29,760 --> 00:17:32,160 Speaker 4: I felt like we could beat them because that's how 336 00:17:32,200 --> 00:17:34,800 Speaker 4: good I thought the Meryl folks were. So Marshie, thanks 337 00:17:34,800 --> 00:17:38,160 Speaker 4: so much for joining us here. Boy volatility, I mean, 338 00:17:38,640 --> 00:17:40,440 Speaker 4: if you like it, this is your kind of market. 339 00:17:40,480 --> 00:17:42,520 Speaker 4: I guess what kind of conversations are you having with 340 00:17:42,560 --> 00:17:43,880 Speaker 4: your clients these days? 341 00:17:44,840 --> 00:17:46,960 Speaker 8: Yeah, I mean we're trying to help our clients kind 342 00:17:47,000 --> 00:17:49,400 Speaker 8: of navigate through what I think of almost as this 343 00:17:49,520 --> 00:17:53,240 Speaker 8: dense fog of uncertainty of course, on the policy front, 344 00:17:53,280 --> 00:17:55,679 Speaker 8: on the macro front, and really trying to get our 345 00:17:55,720 --> 00:17:59,560 Speaker 8: clients to take a step back understand that being really 346 00:17:59,600 --> 00:18:03,280 Speaker 8: well to versified, being really disciplined in a market that 347 00:18:03,320 --> 00:18:05,880 Speaker 8: can be can probably continue. 348 00:18:05,440 --> 00:18:06,200 Speaker 5: To feel choppy. 349 00:18:06,240 --> 00:18:09,320 Speaker 8: From here is the most important thing we can do 350 00:18:09,359 --> 00:18:12,800 Speaker 8: with investors. So I say, like, stay diversified, stay invested, 351 00:18:12,920 --> 00:18:15,919 Speaker 8: really stick to our knitting here. This fog will lift 352 00:18:15,960 --> 00:18:18,200 Speaker 8: and we'll be able to see through to the other side. 353 00:18:18,680 --> 00:18:21,640 Speaker 2: When you say diversify, everyone says that what does diversify 354 00:18:21,880 --> 00:18:24,560 Speaker 2: mean to you over there at Bank of America, Meryl. 355 00:18:25,200 --> 00:18:27,840 Speaker 8: Yeah, when I think about our portfolio positioning right now, 356 00:18:28,040 --> 00:18:30,959 Speaker 8: we do have a preference for equities over fixed income, 357 00:18:31,240 --> 00:18:34,480 Speaker 8: and its global equities, so we have a pretty significant 358 00:18:34,520 --> 00:18:39,280 Speaker 8: strategic weighting both to international developed equities and emerging markets. 359 00:18:39,560 --> 00:18:42,240 Speaker 8: And then on the fixed income side, we're actually not 360 00:18:42,400 --> 00:18:45,119 Speaker 8: taking huge positions on the fixed income side. We like 361 00:18:45,160 --> 00:18:48,399 Speaker 8: to use fixed income as a diversifier, kind of as 362 00:18:48,480 --> 00:18:50,879 Speaker 8: that ballast of the portfolio. And then, of course, for 363 00:18:50,920 --> 00:18:55,960 Speaker 8: our clients that are qualified investors, alternative investments makes a 364 00:18:56,000 --> 00:18:58,160 Speaker 8: lot of sense, private markets makes a lot of sense 365 00:18:58,200 --> 00:19:01,639 Speaker 8: in a well diversified portfolio, and of course those big 366 00:19:01,680 --> 00:19:05,000 Speaker 8: overarching themes. So yes, we're in this moment of you know, 367 00:19:05,080 --> 00:19:08,120 Speaker 8: I think peak uncertainty is behind us, fortunately, but we're 368 00:19:08,119 --> 00:19:12,000 Speaker 8: in this moment of uncertainty about what the economy looks 369 00:19:12,080 --> 00:19:14,679 Speaker 8: like going forward. But I think there's a lot of 370 00:19:14,760 --> 00:19:18,560 Speaker 8: trends and themes that aren't changing, like the innovation in 371 00:19:18,600 --> 00:19:22,920 Speaker 8: our economy, like investment in infrastructure, data centers, areas like that. 372 00:19:23,400 --> 00:19:26,680 Speaker 8: I don't think those big picture trends are necessarily going 373 00:19:26,720 --> 00:19:28,760 Speaker 8: to change because they're so long term. 374 00:19:29,800 --> 00:19:31,840 Speaker 4: Marshie, we've seen over the list, I think, just here 375 00:19:31,840 --> 00:19:34,280 Speaker 4: in twenty twenty five and maybe late twenty four kind 376 00:19:34,280 --> 00:19:37,480 Speaker 4: of a move into international equities, maybe even fun flows 377 00:19:38,160 --> 00:19:40,560 Speaker 4: material fun flows out of the US market into other 378 00:19:40,600 --> 00:19:41,920 Speaker 4: parts of the world. How do you guys think about 379 00:19:41,920 --> 00:19:43,480 Speaker 4: the US versus non US? 380 00:19:44,520 --> 00:19:47,159 Speaker 8: Yeah, when I think about international markets, certainly a dollar 381 00:19:47,520 --> 00:19:49,480 Speaker 8: coming off the way I think of it like the 382 00:19:49,600 --> 00:19:53,240 Speaker 8: eye popping strength that we had seen recently. So we 383 00:19:53,240 --> 00:19:55,760 Speaker 8: have this dollar that's moderating. Our few is that the 384 00:19:55,800 --> 00:20:00,040 Speaker 8: dollar likely continues to moderate from here, really kind of 385 00:20:00,119 --> 00:20:03,320 Speaker 8: lending some support to international markets. But what keeps me 386 00:20:03,400 --> 00:20:06,639 Speaker 8: from getting outright bullish outside of the US is we 387 00:20:06,720 --> 00:20:10,479 Speaker 8: haven't seen the earnings come through. While the US earnings 388 00:20:10,520 --> 00:20:15,000 Speaker 8: picture expectations have clearly been trimmed over the last several weeks, 389 00:20:15,200 --> 00:20:18,440 Speaker 8: we still think US corporate earnings stay positive in terms 390 00:20:18,480 --> 00:20:21,919 Speaker 8: of a growth rate through all of this uncertainty, So 391 00:20:22,640 --> 00:20:24,800 Speaker 8: I need to see the green shoots on the earning 392 00:20:24,880 --> 00:20:27,840 Speaker 8: side to get me a lot more positive on international markets. 393 00:20:28,119 --> 00:20:31,160 Speaker 8: But a dollar that is moderating I think will likely 394 00:20:31,240 --> 00:20:34,840 Speaker 8: continue to help international from here, probably for the balance 395 00:20:34,880 --> 00:20:37,040 Speaker 8: of this year. So the answer is I want to 396 00:20:37,040 --> 00:20:39,480 Speaker 8: own both, but I do still have a preference for 397 00:20:39,680 --> 00:20:41,480 Speaker 8: US relative to the rest of the world. 398 00:20:42,920 --> 00:20:46,480 Speaker 2: What about other themes that we've seen. Energy has just 399 00:20:46,520 --> 00:20:51,080 Speaker 2: gotten crushed, Utilities were kind of rising with the AI play. 400 00:20:51,119 --> 00:20:53,600 Speaker 2: They became a growth story even though they're also considered 401 00:20:53,640 --> 00:20:55,600 Speaker 2: a safe haven. What about those trends we were looking 402 00:20:55,640 --> 00:20:57,679 Speaker 2: at like like eight months ago that now have kind 403 00:20:57,680 --> 00:20:58,960 Speaker 2: of fallen out by the wayside. 404 00:21:00,160 --> 00:21:03,720 Speaker 8: Yeah, well, it's really interesting if we rewind before April. Second, 405 00:21:03,960 --> 00:21:08,439 Speaker 8: this market weakness really started as a rotational correction away 406 00:21:08,520 --> 00:21:13,640 Speaker 8: from kind of the most overvalued expensive magnificent seven tech names. 407 00:21:13,800 --> 00:21:15,720 Speaker 8: So our view had been it would be the other 408 00:21:15,800 --> 00:21:18,359 Speaker 8: four hundred and ninety three that led the way for 409 00:21:18,520 --> 00:21:21,120 Speaker 8: twenty twenty five, and that's still the case. I think 410 00:21:21,160 --> 00:21:24,280 Speaker 8: it's going to be this broader market participation. We're talking 411 00:21:24,280 --> 00:21:28,160 Speaker 8: to clients about playing defense end offense. So defense, as 412 00:21:28,160 --> 00:21:31,760 Speaker 8: you mentioned, still looks like utilities a way to kind 413 00:21:31,760 --> 00:21:34,840 Speaker 8: of think about playing that defense just through the S 414 00:21:34,880 --> 00:21:37,960 Speaker 8: and P five hundred. I also like dividend paying stocks, 415 00:21:38,600 --> 00:21:40,880 Speaker 8: especially in a world where we're wondering if the FED 416 00:21:40,920 --> 00:21:45,040 Speaker 8: will or won't cut as the economy shows signs of softening. 417 00:21:45,280 --> 00:21:48,119 Speaker 8: I think dividend paying stocks and dividend growers it's going 418 00:21:48,160 --> 00:21:51,520 Speaker 8: to be really interesting. You know, when I think about 419 00:21:51,680 --> 00:21:53,880 Speaker 8: energy as a sector, it's the only sector I think 420 00:21:53,920 --> 00:21:57,280 Speaker 8: that's in negative territory in the most recent period for 421 00:21:57,320 --> 00:22:00,640 Speaker 8: the index this year. You know, I'm a little cautious 422 00:22:00,640 --> 00:22:02,959 Speaker 8: on energy. I do think when I think about what 423 00:22:03,080 --> 00:22:05,919 Speaker 8: else could come from Washington to provide a little bit 424 00:22:06,000 --> 00:22:09,000 Speaker 8: of a cushion from growth, lower energy prices would be 425 00:22:09,000 --> 00:22:11,520 Speaker 8: a boost to the consumer. We need the consumer to 426 00:22:11,560 --> 00:22:15,040 Speaker 8: stay resilient here, so I would think about it is 427 00:22:15,280 --> 00:22:18,280 Speaker 8: less positive on energy. The area of the market that 428 00:22:18,359 --> 00:22:22,040 Speaker 8: I think has the potential to continue to lead as 429 00:22:22,080 --> 00:22:25,240 Speaker 8: we get to the other side of this uncertainty is financials. 430 00:22:25,600 --> 00:22:27,840 Speaker 8: Financials are going to be insulated from some of this 431 00:22:28,080 --> 00:22:31,720 Speaker 8: trade noise as long as the consumer hangs in and 432 00:22:31,920 --> 00:22:35,320 Speaker 8: our base cases that the US economy avoids a recession. 433 00:22:35,720 --> 00:22:38,359 Speaker 8: I think that tees up financials which have pretty strong 434 00:22:38,400 --> 00:22:42,840 Speaker 8: internals to once again emerges market leadership. But to your point, 435 00:22:42,960 --> 00:22:47,480 Speaker 8: artificial intelligence innovation, none of those trends are going anywhere, 436 00:22:47,960 --> 00:22:51,000 Speaker 8: So I think the investment cycle continues as we're in 437 00:22:51,040 --> 00:22:56,359 Speaker 8: this kind of big picture arms race for technology and AI. 438 00:22:56,640 --> 00:23:00,359 Speaker 4: Marcy, my notes, tell me that you're based in Savannah, Orga. 439 00:23:00,400 --> 00:23:01,080 Speaker 4: Please tell me. 440 00:23:01,080 --> 00:23:01,879 Speaker 3: That's not the case. 441 00:23:03,640 --> 00:23:04,520 Speaker 8: That is the case. 442 00:23:05,080 --> 00:23:09,400 Speaker 4: How did you wrangle that? He's just jealous, hugely jealous. 443 00:23:10,359 --> 00:23:11,919 Speaker 8: Well, if it makes you feel better, I'm in New 444 00:23:11,960 --> 00:23:15,199 Speaker 8: York pretty regularly. But yeah, as I look out the 445 00:23:15,200 --> 00:23:16,800 Speaker 8: window here, I. 446 00:23:16,720 --> 00:23:19,919 Speaker 4: Mean that might be, pound for pound, the prettiest city 447 00:23:20,000 --> 00:23:22,720 Speaker 4: in all of America. It is awesome, is it down there? 448 00:23:22,800 --> 00:23:23,040 Speaker 1: Yeah? 449 00:23:23,080 --> 00:23:27,080 Speaker 4: And the word I mean, she went the Rutgers good, 450 00:23:27,600 --> 00:23:31,280 Speaker 4: but then she ends up in Savannah, Georgia for banks 451 00:23:31,320 --> 00:23:32,320 Speaker 4: a jealousy. 452 00:23:32,400 --> 00:23:33,480 Speaker 5: Marcia, thank you so much. 453 00:23:33,320 --> 00:23:33,800 Speaker 4: For joining us. 454 00:23:33,800 --> 00:23:34,520 Speaker 5: We'll have you back. 455 00:23:34,720 --> 00:23:36,879 Speaker 4: I really appreciate getting some of your thoughts on Marcia Gregor. 456 00:23:36,920 --> 00:23:39,960 Speaker 4: She's had a portfolio strategy for the CIO at Merrill 457 00:23:40,080 --> 00:23:44,560 Speaker 4: and Bank of America Private Bank from Savannah. 458 00:23:43,800 --> 00:23:44,960 Speaker 8: George Savannah. 459 00:23:45,000 --> 00:23:47,800 Speaker 4: Oh, it is just it's a great long weekend trip 460 00:23:48,280 --> 00:23:51,160 Speaker 4: from New York. Yeah, it's good, it's I highly recommend. 461 00:23:51,880 --> 00:23:56,560 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 462 00:23:56,760 --> 00:24:00,720 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 463 00:24:00,920 --> 00:24:04,199 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 464 00:24:04,280 --> 00:24:08,159 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 465 00:24:08,200 --> 00:24:11,480 Speaker 1: can also watch us live every weekday on YouTube and 466 00:24:11,680 --> 00:24:13,640 Speaker 1: always on the Bloomberg terminal