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 --> 00:00:14,480 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,560 --> 00:00:18,479 Speaker 1: Eastern on Applecarplay and Android Auto with the Bloomberg Business App. 4 00:00:18,600 --> 00:00:21,800 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,920 --> 00:00:23,400 Speaker 1: us live on YouTube. 6 00:00:23,920 --> 00:00:25,960 Speaker 2: Bloomberg Intelligence Radio. All right, let's get back to those 7 00:00:25,960 --> 00:00:29,160 Speaker 2: consumer confidence numbers, because we continue to see the soft 8 00:00:29,200 --> 00:00:32,120 Speaker 2: data disappointing, yet we do not see that within the 9 00:00:32,240 --> 00:00:35,640 Speaker 2: hard data dot dot dot. Yet consumer confidence falling to 10 00:00:35,800 --> 00:00:38,400 Speaker 2: a two year low. From more on this, we are 11 00:00:38,479 --> 00:00:41,840 Speaker 2: joined by Stephanie Guichard, senior economists at the Conference Board. 12 00:00:41,880 --> 00:00:44,880 Speaker 2: She joins us, Stephanie walk us through this two year low. 13 00:00:44,920 --> 00:00:45,640 Speaker 2: What was behind it? 14 00:00:47,000 --> 00:00:50,320 Speaker 3: So the index fell seven point two points to ninety 15 00:00:50,320 --> 00:00:52,760 Speaker 3: two point nine, and as you said, this was the 16 00:00:52,800 --> 00:00:57,080 Speaker 3: lowest since August twenty twenty one. What's important is that 17 00:00:57,360 --> 00:01:01,120 Speaker 3: now this okay, this was the fourth decline, and now 18 00:01:01,160 --> 00:01:04,479 Speaker 3: the index is below that trench in which it has 19 00:01:04,560 --> 00:01:07,720 Speaker 3: been overeing for the past two years. So it's clearly 20 00:01:07,880 --> 00:01:12,200 Speaker 3: a week reading. What has been driving the decline is 21 00:01:12,319 --> 00:01:16,319 Speaker 3: especially the expectation component of our index, where we see 22 00:01:16,360 --> 00:01:21,280 Speaker 3: consumers negative about the future of the labor market, future 23 00:01:21,319 --> 00:01:26,280 Speaker 3: label conditions, and importantly getting less more and more worried 24 00:01:26,360 --> 00:01:27,720 Speaker 3: about future income. 25 00:01:28,680 --> 00:01:31,000 Speaker 4: So, Stephanie, it seems like I would think one of 26 00:01:31,040 --> 00:01:33,399 Speaker 4: the key issues here would be job security. And it 27 00:01:33,440 --> 00:01:35,479 Speaker 4: seems like the job market is still the labor market's 28 00:01:35,480 --> 00:01:39,600 Speaker 4: still pretty strong here. But is this just investors kind 29 00:01:39,600 --> 00:01:41,960 Speaker 4: of taking in the day to day news flow and 30 00:01:42,480 --> 00:01:45,039 Speaker 4: kind of putting that into a confidence kind of expectation. 31 00:01:46,000 --> 00:01:49,560 Speaker 3: No, So for the current situation of the label market, 32 00:01:49,680 --> 00:01:52,520 Speaker 3: I mean, consumers agree that the label market is still 33 00:01:52,640 --> 00:01:56,520 Speaker 3: or actively strong, but looking into the next six months, 34 00:01:56,520 --> 00:01:59,840 Speaker 3: we are getting worried. We're getting worried about the label 35 00:01:59,840 --> 00:02:03,520 Speaker 3: mart in general. And what's interesting in US survey is 36 00:02:03,520 --> 00:02:06,880 Speaker 3: that they're also getting worried about their income, which means 37 00:02:06,880 --> 00:02:11,040 Speaker 3: that potentially about getting worried about losing their jobs in 38 00:02:11,080 --> 00:02:12,480 Speaker 3: the next six months. 39 00:02:12,520 --> 00:02:15,880 Speaker 2: Interesting that it's the labor part, not the inflation and 40 00:02:16,000 --> 00:02:19,160 Speaker 2: rising up prices part. Where did that play into this? 41 00:02:20,280 --> 00:02:23,320 Speaker 3: So we don't ask, especially, I mean, in our index 42 00:02:23,360 --> 00:02:27,760 Speaker 3: we don't cover inflation directly. However, I mean we know 43 00:02:27,880 --> 00:02:29,880 Speaker 3: and it has been the case for the past two years, 44 00:02:29,919 --> 00:02:34,040 Speaker 3: consumers are not very happy about the level of prices 45 00:02:34,160 --> 00:02:39,320 Speaker 3: and about the fact that inflation has stopped slowly. So 46 00:02:39,360 --> 00:02:43,000 Speaker 3: that's I mean, this is clearly playing into consumers' mood, 47 00:02:43,720 --> 00:02:46,639 Speaker 3: but it's not captured fully in our index because we 48 00:02:47,080 --> 00:02:50,360 Speaker 3: focus on labor market, business condition, and future income. 49 00:02:51,200 --> 00:02:52,600 Speaker 5: So I'm looking at the conference board. 50 00:02:52,639 --> 00:02:55,400 Speaker 4: The expectations number came in at sixty five point two 51 00:02:55,520 --> 00:02:57,960 Speaker 4: versus seventy two point or actually seventy four point eight 52 00:02:58,080 --> 00:03:01,639 Speaker 4: last period, give usus a. Is that an order of bagnitude? 53 00:03:01,720 --> 00:03:02,440 Speaker 4: Is that concerning? 54 00:03:03,960 --> 00:03:04,120 Speaker 6: It? 55 00:03:04,200 --> 00:03:06,160 Speaker 3: Is? I mean, we need to see whether this is 56 00:03:06,160 --> 00:03:09,120 Speaker 3: getting confirmed next month, because as you know, the centex 57 00:03:09,240 --> 00:03:12,160 Speaker 3: is going up and down on a months to months basis. 58 00:03:12,160 --> 00:03:14,640 Speaker 3: But this is the lowest reading for the past twelve 59 00:03:14,760 --> 00:03:17,359 Speaker 3: years as far as expectations are concerned. 60 00:03:18,320 --> 00:03:22,480 Speaker 2: All right, one more questions as well. Do you do 61 00:03:22,520 --> 00:03:25,079 Speaker 2: you do the survey? Is there any distinction between those 62 00:03:25,120 --> 00:03:28,360 Speaker 2: that identify as independence, Democrats or republicans or is it 63 00:03:28,360 --> 00:03:29,239 Speaker 2: across the board? 64 00:03:30,240 --> 00:03:32,080 Speaker 3: So the survey is across the board. 65 00:03:32,760 --> 00:03:36,480 Speaker 2: Meaning that the respondents identify across all of those three bases. 66 00:03:36,560 --> 00:03:38,960 Speaker 2: So we is that what you mean? 67 00:03:40,160 --> 00:03:44,360 Speaker 3: So we yeah, So the survey, the consumers, we survey 68 00:03:44,440 --> 00:03:47,880 Speaker 3: across the board. They we have, you know, the different 69 00:03:47,960 --> 00:03:52,280 Speaker 3: political groups covered. This is a representative sample of the 70 00:03:52,400 --> 00:03:53,160 Speaker 3: US population. 71 00:03:54,280 --> 00:03:56,480 Speaker 2: All right, definitely really appreciate it. Thank you so very much. 72 00:03:56,480 --> 00:04:00,120 Speaker 2: Sepnickie Schard joining us from the Consumer Conference Board. She 73 00:04:00,200 --> 00:04:02,520 Speaker 2: is a senior economist over there. After that drops to 74 00:04:02,680 --> 00:04:05,000 Speaker 2: a two year low. But again we got a wait 75 00:04:05,040 --> 00:04:07,560 Speaker 2: to see it in the hard data for us to 76 00:04:07,600 --> 00:04:10,640 Speaker 2: suffer things to then affect sort of the real economy 77 00:04:10,640 --> 00:04:12,920 Speaker 2: as well as the equity market and bond market, et cetera. 78 00:04:14,760 --> 00:04:18,440 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 79 00:04:18,520 --> 00:04:21,599 Speaker 1: weekdays at ten am Eastern on Apple Coarcklay, and Android 80 00:04:21,640 --> 00:04:24,920 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 81 00:04:25,000 --> 00:04:28,680 Speaker 1: you get your podcasts, or watch us live on YouTube. 82 00:04:29,040 --> 00:04:32,479 Speaker 4: We had some home building news out today. New home 83 00:04:32,520 --> 00:04:35,360 Speaker 4: sales came in kind of just a smidge blow expectation 84 00:04:35,480 --> 00:04:37,720 Speaker 4: six hundred and seventy six thousand versus six hundred and 85 00:04:37,720 --> 00:04:41,800 Speaker 4: eighty thousand. We also had KB Homes report some earning 86 00:04:41,839 --> 00:04:43,440 Speaker 4: to day that we're a little disappointing to the street. 87 00:04:43,440 --> 00:04:45,720 Speaker 4: This stock is down five percent. Let's check in with 88 00:04:45,839 --> 00:04:49,760 Speaker 4: Drew Reading. He covers all the homebuilders for Bloomberg Intelligence Drew. 89 00:04:49,800 --> 00:04:53,880 Speaker 4: Let's start with the new home sales number, six hundred 90 00:04:53,880 --> 00:04:56,120 Speaker 4: and seventy six thousand. It's again kind of just a 91 00:04:56,160 --> 00:04:59,240 Speaker 4: smidge blow expectations, but a little better than last month. 92 00:05:00,120 --> 00:05:02,279 Speaker 4: What's an industry look like, what's the market look like 93 00:05:02,320 --> 00:05:03,000 Speaker 4: these days? 94 00:05:03,880 --> 00:05:06,360 Speaker 6: Yeah, so we're about up about you know, two percent, 95 00:05:06,400 --> 00:05:08,760 Speaker 6: give or take month over month and year overy year. 96 00:05:09,160 --> 00:05:11,919 Speaker 6: We've kind of been bumping along this mid six hundred 97 00:05:12,000 --> 00:05:16,440 Speaker 6: thousand annualized pace since mid twenty twenty three, so you know, 98 00:05:16,920 --> 00:05:20,120 Speaker 6: demand isn't necessarily bad, but we're not seeing that lift 99 00:05:20,440 --> 00:05:23,440 Speaker 6: that we had hoped coming into the year. So overall, 100 00:05:23,480 --> 00:05:25,840 Speaker 6: the start to spring has been very soft, as you 101 00:05:25,880 --> 00:05:29,520 Speaker 6: would expect. Affordability is still the biggest challenge out there 102 00:05:29,520 --> 00:05:32,599 Speaker 6: in the market. Home prices are up fifty percent, Mortgage 103 00:05:32,680 --> 00:05:34,520 Speaker 6: rates have come down, but they're still in the high 104 00:05:34,600 --> 00:05:38,000 Speaker 6: six percent range. And what's interesting now that we're starting 105 00:05:38,040 --> 00:05:40,400 Speaker 6: to hear more and more and kind of corroborated by 106 00:05:40,560 --> 00:05:43,840 Speaker 6: some of the data this morning, is that declining consumer 107 00:05:43,920 --> 00:05:46,719 Speaker 6: confidence is becoming more of an issue for housing. We 108 00:05:46,760 --> 00:05:48,400 Speaker 6: heard it from a number of builders, we heard it 109 00:05:48,440 --> 00:05:52,000 Speaker 6: from KB Home last night, and it's you know, consumers 110 00:05:52,000 --> 00:05:54,920 Speaker 6: are more concerned about the direction and growth in the economy, 111 00:05:54,960 --> 00:05:58,560 Speaker 6: perhaps more concerned that their job isn't secure. So I 112 00:05:58,600 --> 00:06:01,839 Speaker 6: think that caution is all also contributing to the softness 113 00:06:01,880 --> 00:06:02,839 Speaker 6: we're seeing in the market. 114 00:06:03,080 --> 00:06:04,920 Speaker 2: So that's so interesting because we talk a lot about 115 00:06:04,920 --> 00:06:07,159 Speaker 2: the sentiment data and how that has to translate into 116 00:06:07,160 --> 00:06:09,840 Speaker 2: the hard data, and we think one thinks about that 117 00:06:09,880 --> 00:06:12,520 Speaker 2: more in terms of like retail sales or GDP. But 118 00:06:13,160 --> 00:06:15,640 Speaker 2: your hypothesis from the read through we get we're getting 119 00:06:15,640 --> 00:06:18,839 Speaker 2: from the actual homebuilders is that that's actually translating into 120 00:06:19,240 --> 00:06:21,119 Speaker 2: putting the pause button now. 121 00:06:22,440 --> 00:06:24,440 Speaker 6: Yeah, I think you have consumers out there who are saying, 122 00:06:24,600 --> 00:06:26,680 Speaker 6: maybe now is not the best time to make such 123 00:06:26,720 --> 00:06:30,400 Speaker 6: an important and large decision. You know, we've also heard 124 00:06:30,440 --> 00:06:32,520 Speaker 6: it from the home improvement retailer, so people in the 125 00:06:32,560 --> 00:06:37,440 Speaker 6: repair remodeling market are delaying large ticket discretionary projects. 126 00:06:37,520 --> 00:06:37,680 Speaker 7: You know. 127 00:06:37,720 --> 00:06:38,920 Speaker 6: A lot of it has to do with the fact 128 00:06:38,920 --> 00:06:42,520 Speaker 6: that coming into the year, consumers were expecting rates to 129 00:06:42,560 --> 00:06:44,880 Speaker 6: come down. You know, if they come down a little 130 00:06:44,880 --> 00:06:47,600 Speaker 6: bit since January, like I said, down about fifty basis points, 131 00:06:47,839 --> 00:06:49,640 Speaker 6: but I don't think we've gotten the relief that they 132 00:06:49,680 --> 00:06:52,560 Speaker 6: need to see what's interesting we heard this from Lenar 133 00:06:52,680 --> 00:06:56,360 Speaker 6: last week, is that they're having more trouble qualifying buyers. 134 00:06:56,400 --> 00:06:59,680 Speaker 6: So maybe people have the down payment and they can 135 00:06:59,680 --> 00:07:02,760 Speaker 6: afford monthly payment, but their overall debt levels just because 136 00:07:02,800 --> 00:07:04,680 Speaker 6: of everything else that they're having to deal with the 137 00:07:04,720 --> 00:07:08,440 Speaker 6: cumulative impact of inflation is getting it a little more 138 00:07:08,480 --> 00:07:09,760 Speaker 6: challenging for them to qualify. 139 00:07:10,800 --> 00:07:14,720 Speaker 4: So we heard from KB Home they reported today I 140 00:07:14,760 --> 00:07:16,640 Speaker 4: see the stock down five percent of the fifty two 141 00:07:16,680 --> 00:07:20,800 Speaker 4: week low. They also, I guess called out home affordability. 142 00:07:21,200 --> 00:07:22,440 Speaker 4: What's what's gone on to KB? 143 00:07:23,600 --> 00:07:26,480 Speaker 6: Yeah, so sentiment coming into the quarter was already pretty 144 00:07:26,520 --> 00:07:28,680 Speaker 6: low across the space, and you know, they fell short 145 00:07:28,680 --> 00:07:33,160 Speaker 6: of those expectations. Orders were down seventeen percent. They had 146 00:07:33,160 --> 00:07:35,880 Speaker 6: guide it to orders being about flat, so a pretty 147 00:07:35,920 --> 00:07:38,720 Speaker 6: significant miss on the order front. So they also cut 148 00:07:38,760 --> 00:07:41,480 Speaker 6: their revenue guidance and their margin guidance. And the reason is, 149 00:07:42,000 --> 00:07:44,600 Speaker 6: and this is something we're seeing across the space, more incentives, 150 00:07:44,600 --> 00:07:46,360 Speaker 6: but they're doing it on the home price front. So 151 00:07:46,360 --> 00:07:50,240 Speaker 6: they're reducing base home prices, which has been less common 152 00:07:50,280 --> 00:07:53,280 Speaker 6: so far in the industry. They've cut prices in about 153 00:07:53,320 --> 00:07:56,120 Speaker 6: fifty percent of their markets by an average of fifteen 154 00:07:56,160 --> 00:07:59,400 Speaker 6: thousand dollars. They said that ranges anywhere from five to 155 00:07:59,480 --> 00:08:02,720 Speaker 6: thirty thousand dollars. And what's interesting is they mentioned that 156 00:08:02,760 --> 00:08:06,560 Speaker 6: they're having to get more aggressive in markets in Florida, 157 00:08:06,560 --> 00:08:08,320 Speaker 6: which is something we heard from Lennard as well. 158 00:08:08,920 --> 00:08:13,400 Speaker 2: That's really interesting. Also quite a big number when you 159 00:08:13,480 --> 00:08:17,320 Speaker 2: mentioned that the worry about higher rates, right, and everyone's 160 00:08:17,360 --> 00:08:19,120 Speaker 2: kind of expecting lower rates this year or the end 161 00:08:19,160 --> 00:08:21,840 Speaker 2: of last year and didn't materialize. If we just sort 162 00:08:21,880 --> 00:08:25,880 Speaker 2: of normalize around these levels, what's the lead time until 163 00:08:25,920 --> 00:08:28,680 Speaker 2: consumers say, oh, okay, I can make I can be 164 00:08:28,720 --> 00:08:30,160 Speaker 2: okay with seven percent. 165 00:08:31,920 --> 00:08:33,960 Speaker 6: Yeah. I don't know how comfortable people are going to 166 00:08:33,960 --> 00:08:35,920 Speaker 6: be with the seven percent mortgagery. I think you need 167 00:08:35,960 --> 00:08:39,400 Speaker 6: to see maybe something in the low sixes. You know, 168 00:08:39,440 --> 00:08:41,320 Speaker 6: we've heard in the past that anything with a five 169 00:08:41,360 --> 00:08:44,280 Speaker 6: handle from the builders has done well. But I think, 170 00:08:44,360 --> 00:08:46,520 Speaker 6: you know, I think maybe the way forward might be 171 00:08:46,640 --> 00:08:49,079 Speaker 6: for at least for the builders is on home prices. 172 00:08:49,720 --> 00:08:53,160 Speaker 6: Prices are, like I said, fifty percent above pre pandemic levels, 173 00:08:53,200 --> 00:08:55,200 Speaker 6: and I think people are just having a lot of 174 00:08:55,240 --> 00:08:57,000 Speaker 6: problem with that. Maybe there's a little bit of fear 175 00:08:57,000 --> 00:08:58,959 Speaker 6: of buying at the top of the market that's holding 176 00:08:59,000 --> 00:09:01,280 Speaker 6: them back. So again it goes to not only the 177 00:09:01,280 --> 00:09:03,959 Speaker 6: confidence issue from the economy, but how confident are they 178 00:09:03,960 --> 00:09:07,320 Speaker 6: in the sustainability of these elevated home prices. So rates 179 00:09:07,360 --> 00:09:10,079 Speaker 6: are certainly a big component. As rates come down, you'll 180 00:09:10,080 --> 00:09:12,200 Speaker 6: see that marginal home buyer come back in. But I 181 00:09:12,200 --> 00:09:14,800 Speaker 6: don't think that's the only factor that's holding things back. 182 00:09:15,120 --> 00:09:16,719 Speaker 4: All right, Drew, thanks so much for joining us. Drew 183 00:09:16,720 --> 00:09:20,240 Speaker 4: reading homebloading analysts for Bloomberg Intelligence, joining us from Princeton, 184 00:09:20,720 --> 00:09:22,400 Speaker 4: New Jersey. 185 00:09:22,920 --> 00:09:26,600 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 186 00:09:26,679 --> 00:09:30,079 Speaker 1: weekdays at ten am Eastern on Applecarcklay and Android Auto 187 00:09:30,200 --> 00:09:33,240 Speaker 1: with the Bloomberg Business App. Listen on demand wherever you 188 00:09:33,280 --> 00:09:36,680 Speaker 1: get your podcasts, or watch us live on YouTube. 189 00:09:37,440 --> 00:09:39,520 Speaker 4: Alex Deeal Paul Sweeney, You're live here in our Bloomer 190 00:09:39,640 --> 00:09:42,920 Speaker 4: Interactive Broker Studio. We are streaming live on YouTube as well. 191 00:09:43,440 --> 00:09:44,560 Speaker 5: Head over to YouTube dot com and. 192 00:09:44,520 --> 00:09:48,320 Speaker 4: Search Bloomberg Podcasts Live and that's where you'll find us here. 193 00:09:48,520 --> 00:09:50,559 Speaker 5: Looks like the markets are kind of stabilized here. 194 00:09:50,559 --> 00:09:53,959 Speaker 4: We had that Peaka trough pullback of about ten percent, 195 00:09:54,480 --> 00:09:56,960 Speaker 4: and we've kind of been kind of bumping along, rolling 196 00:09:57,000 --> 00:09:58,800 Speaker 4: a little bit two three percent off of that bottom. 197 00:09:58,840 --> 00:09:58,960 Speaker 3: Here. 198 00:09:59,000 --> 00:10:00,200 Speaker 5: Let's check out where we go from here. 199 00:10:00,280 --> 00:10:05,000 Speaker 4: Grace Lee, Senior portfolio manager, Columbia thread Needle up in Boston, 200 00:10:05,080 --> 00:10:08,520 Speaker 4: joining us via that zoom thing. So Grace again, peak 201 00:10:08,559 --> 00:10:10,240 Speaker 4: to trough on yes and P five fund. Just a 202 00:10:10,240 --> 00:10:12,600 Speaker 4: few days ago we kind of hit a ten percent 203 00:10:12,640 --> 00:10:13,280 Speaker 4: correction level. 204 00:10:13,320 --> 00:10:14,520 Speaker 5: We bounced a little bit here. 205 00:10:15,280 --> 00:10:17,160 Speaker 4: How do you think about the market these days? 206 00:10:18,559 --> 00:10:21,680 Speaker 8: Well, I think the market did have a healthy pullback. 207 00:10:21,720 --> 00:10:25,720 Speaker 8: It was probably necessary after a couple really strong years, 208 00:10:26,520 --> 00:10:30,040 Speaker 8: and it's it's probably warranted given all of the uncertainty, 209 00:10:30,720 --> 00:10:34,160 Speaker 8: particularly with the Trump administration coming in not even one 210 00:10:34,240 --> 00:10:36,640 Speaker 8: hundred days in and all of these these changes and 211 00:10:36,720 --> 00:10:40,319 Speaker 8: executive orders and caraff threats and then pull back some 212 00:10:40,320 --> 00:10:42,880 Speaker 8: on care for threats. So this is all I think, 213 00:10:43,000 --> 00:10:46,360 Speaker 8: just part of a healthy digestion process, and I think 214 00:10:46,920 --> 00:10:50,600 Speaker 8: it also might be heralding, you know, a shift in 215 00:10:51,040 --> 00:10:55,600 Speaker 8: where investors might be looking for the next opportunities after 216 00:10:56,280 --> 00:11:00,839 Speaker 8: you know, a huge run in, particularly growth stocks, which. 217 00:11:00,559 --> 00:11:03,920 Speaker 2: Begs the very unsophisticated question, is it a sell the 218 00:11:04,000 --> 00:11:05,520 Speaker 2: rally or by the dip scenario? 219 00:11:07,280 --> 00:11:10,000 Speaker 8: Well, I think it's it's it might be a little 220 00:11:10,000 --> 00:11:12,880 Speaker 8: bit more nuanced than that, you know, it might be 221 00:11:12,960 --> 00:11:16,960 Speaker 8: more of a rotation by the dip in other uh, 222 00:11:17,280 --> 00:11:21,520 Speaker 8: in other sectors, in other companies that that investors may 223 00:11:21,559 --> 00:11:25,400 Speaker 8: not have looked at previously. It's not necessarily going back 224 00:11:25,440 --> 00:11:28,280 Speaker 8: to the same things that have worked in the past. 225 00:11:29,320 --> 00:11:32,920 Speaker 8: I do think the the market deserves to broaden out 226 00:11:32,920 --> 00:11:34,880 Speaker 8: and is broadening out. And I think you can see 227 00:11:34,920 --> 00:11:38,840 Speaker 8: that already. You're to date in the bifurcation between let's 228 00:11:38,840 --> 00:11:42,960 Speaker 8: say value and growth stocks. You know, value investors like 229 00:11:43,000 --> 00:11:47,520 Speaker 8: myself actually think things are are looking okay and feeling 230 00:11:47,720 --> 00:11:50,640 Speaker 8: pretty decent in the market. You know, I think my 231 00:11:51,040 --> 00:11:54,720 Speaker 8: growth peers maybe not not so much. But I think 232 00:11:54,800 --> 00:11:57,640 Speaker 8: that you know, again, I think investors have maybe lost 233 00:11:57,679 --> 00:11:59,760 Speaker 8: a little bit of their muscle memory and looking at 234 00:12:00,240 --> 00:12:03,480 Speaker 8: at things that are not growth and momentum and tech, 235 00:12:04,679 --> 00:12:08,000 Speaker 8: and so I think, you know, aside from from you know, 236 00:12:08,080 --> 00:12:14,120 Speaker 8: selling the rally or uh, you know, or or rotating 237 00:12:14,160 --> 00:12:17,400 Speaker 8: into the same old things, it's it's really you know, 238 00:12:17,640 --> 00:12:21,040 Speaker 8: rotating into other things that that have not worked as well, 239 00:12:21,080 --> 00:12:26,280 Speaker 8: and you know, are looking extremely inexpensive and actually attractive 240 00:12:26,320 --> 00:12:27,040 Speaker 8: right now. 241 00:12:28,160 --> 00:12:31,600 Speaker 4: Value versus growth, where do you see the opportunities here? 242 00:12:31,640 --> 00:12:33,840 Speaker 4: This has been a market that's been driven by tech 243 00:12:33,880 --> 00:12:35,280 Speaker 4: and the MAC seven for a long time. 244 00:12:36,200 --> 00:12:37,559 Speaker 5: How do you see it going forward? 245 00:12:38,559 --> 00:12:41,600 Speaker 8: Yeah, I think I think this might be the year 246 00:12:41,720 --> 00:12:44,600 Speaker 8: for for value stocks. It is starting out that way, 247 00:12:44,840 --> 00:12:49,199 Speaker 8: and I'm pretty I'm pretty optimistic about that. I think 248 00:12:49,280 --> 00:12:52,520 Speaker 8: that the setup is actually very good for for value 249 00:12:52,559 --> 00:12:55,360 Speaker 8: stocks in that you have had a couple of years 250 00:12:55,360 --> 00:13:00,000 Speaker 8: of very strong growth driven markets, and and I think 251 00:13:00,120 --> 00:13:02,720 Speaker 8: you're starting to see a little bit more hesitation on 252 00:13:02,960 --> 00:13:06,719 Speaker 8: even things like the AI trade, and so for investors 253 00:13:06,720 --> 00:13:09,200 Speaker 8: that want to hedge a little bit, take some chips 254 00:13:09,200 --> 00:13:12,920 Speaker 8: off the table, not necessarily put it all in European stocks. 255 00:13:13,960 --> 00:13:17,960 Speaker 8: You know, there's there's ordinary American stocks. I think people 256 00:13:18,000 --> 00:13:22,280 Speaker 8: talk about is American exceptionalism over because of let's say 257 00:13:22,320 --> 00:13:25,440 Speaker 8: deep seek. I would say that, you know, I think 258 00:13:25,480 --> 00:13:30,839 Speaker 8: if they refocus on the American ordinariness, you know, the 259 00:13:31,200 --> 00:13:34,560 Speaker 8: core companies that that make up the big base of 260 00:13:34,600 --> 00:13:37,360 Speaker 8: the economy, you know, the bread and butter, and this 261 00:13:37,440 --> 00:13:41,959 Speaker 8: is this largely pertains to traditional value stocks, you know, 262 00:13:42,000 --> 00:13:45,240 Speaker 8: and these are the companies that put up reliable singles 263 00:13:45,240 --> 00:13:47,240 Speaker 8: and doubles. They're usually not going to hit it out 264 00:13:47,280 --> 00:13:50,360 Speaker 8: of the park. But you know, but I think that 265 00:13:50,360 --> 00:13:54,440 Speaker 8: that's the area that again is starting to perk up 266 00:13:54,480 --> 00:13:57,000 Speaker 8: this year and probably has some runway here. 267 00:13:57,679 --> 00:14:01,720 Speaker 2: So that whole idea grace that Tina there is no alternative. 268 00:14:01,720 --> 00:14:03,640 Speaker 2: That's why you have to buy us docs. It feels 269 00:14:03,640 --> 00:14:07,080 Speaker 2: like Tina doesn't exist anymore. But that doesn't necessarily mean 270 00:14:07,320 --> 00:14:08,679 Speaker 2: sell you stocks. 271 00:14:09,920 --> 00:14:10,600 Speaker 4: Right right. 272 00:14:10,679 --> 00:14:14,640 Speaker 8: It's just looking at again the ignored sectors of the market. 273 00:14:14,679 --> 00:14:16,960 Speaker 8: I mean, could you if you could believe that the 274 00:14:17,120 --> 00:14:19,680 Speaker 8: energy sector is up I think close to eight percent 275 00:14:19,800 --> 00:14:23,040 Speaker 8: year to date, you know, and that's even with UH 276 00:14:23,640 --> 00:14:26,000 Speaker 8: knowing that that OPEC plus might have a lot more 277 00:14:26,000 --> 00:14:28,520 Speaker 8: oil coming on the market. So there's a lot of 278 00:14:29,200 --> 00:14:32,320 Speaker 8: areas that have been really ignored by by a lot 279 00:14:32,320 --> 00:14:35,760 Speaker 8: of investors who have really crowded into the growth tech 280 00:14:35,840 --> 00:14:39,760 Speaker 8: space for such a long time. And you know, and 281 00:14:40,560 --> 00:14:43,600 Speaker 8: I think it's looking at value stocks as not just 282 00:14:44,200 --> 00:14:48,320 Speaker 8: a you know, run for shelter, but also just a 283 00:14:48,680 --> 00:14:53,920 Speaker 8: good place to find you know, interesting companies UH and 284 00:14:53,920 --> 00:14:57,280 Speaker 8: and sectors that are going to work you know in 285 00:14:57,280 --> 00:15:00,760 Speaker 8: an in a moderating growth economy me which I think 286 00:15:00,800 --> 00:15:03,720 Speaker 8: is what we're going to be seeing not necessarily recession, 287 00:15:03,760 --> 00:15:07,040 Speaker 8: although if we do go into recession again, that a 288 00:15:07,040 --> 00:15:10,080 Speaker 8: lot of these value and defensive stocks will work better 289 00:15:10,120 --> 00:15:10,600 Speaker 8: as well. 290 00:15:10,680 --> 00:15:13,840 Speaker 4: Right, all right, Grace, thank you so much. I always 291 00:15:13,840 --> 00:15:15,880 Speaker 4: appreciate getting a few minutes of your time. Grace Lee, 292 00:15:15,960 --> 00:15:18,800 Speaker 4: Senior Footfallway manager at Columbia Thread Needle. 293 00:15:20,480 --> 00:15:24,160 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 294 00:15:24,280 --> 00:15:27,360 Speaker 1: weekdays at ten am Eastern on Apple Coarclay, and Android 295 00:15:27,360 --> 00:15:30,680 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 296 00:15:30,720 --> 00:15:35,160 Speaker 1: you get your podcasts, or watch us live on youtubekoy. 297 00:15:35,200 --> 00:15:37,520 Speaker 4: I think we've gone several days with that really talking 298 00:15:37,560 --> 00:15:38,480 Speaker 4: technology that's. 299 00:15:38,360 --> 00:15:38,920 Speaker 5: Not like us. 300 00:15:39,000 --> 00:15:40,480 Speaker 2: It's been like a full twenty four hours, is it? 301 00:15:40,520 --> 00:15:40,720 Speaker 4: Yeah? 302 00:15:40,720 --> 00:15:41,880 Speaker 2: Okay, yeah, well we'll counting weekend. 303 00:15:41,920 --> 00:15:43,320 Speaker 5: It's like seventy two exactly. 304 00:15:43,520 --> 00:15:46,200 Speaker 4: Mandy've sing joins us, he'll fix that right away. He's 305 00:15:46,200 --> 00:15:48,000 Speaker 4: a senior tech analyst for Bloomberg Intelligence. 306 00:15:48,000 --> 00:15:50,120 Speaker 5: A kind of the news that got our tension a 307 00:15:50,120 --> 00:15:50,480 Speaker 5: little bit. 308 00:15:50,520 --> 00:15:55,080 Speaker 4: Is Bloomberg News reporting tech chiefs foreign leaders urge President 309 00:15:55,120 --> 00:15:59,000 Speaker 4: Trump to rethink AI chip curbs. What is the current 310 00:15:59,080 --> 00:16:02,040 Speaker 4: understanding of how towers may impact. 311 00:16:01,680 --> 00:16:02,840 Speaker 5: The global chip marking point? 312 00:16:02,840 --> 00:16:05,480 Speaker 4: Because when I think about a global supply chain, chips 313 00:16:05,520 --> 00:16:06,600 Speaker 4: is certainly right there. 314 00:16:06,760 --> 00:16:11,240 Speaker 7: Absolutely, And look, I think the earliest export controls go 315 00:16:11,360 --> 00:16:15,479 Speaker 7: back to twenty twenty two when the Biden administration imposed 316 00:16:15,760 --> 00:16:20,040 Speaker 7: controls on Nvidia kind of shipping their highest end chip 317 00:16:20,080 --> 00:16:23,640 Speaker 7: to China. So at that time it was really restricting 318 00:16:23,680 --> 00:16:28,200 Speaker 7: their interconnect bandwidth because remember with AI, all these chips 319 00:16:28,240 --> 00:16:30,840 Speaker 7: are used as a big cluster, so they thought that 320 00:16:30,880 --> 00:16:34,360 Speaker 7: could prevent you know, China from using the latest Nvidia chips. 321 00:16:34,680 --> 00:16:38,120 Speaker 7: That didn't suffice, so then they added kind of a 322 00:16:38,160 --> 00:16:41,360 Speaker 7: new form of restriction, and then the diffusion real rule 323 00:16:41,440 --> 00:16:44,440 Speaker 7: came into play, which was almost one hundred and sixty 324 00:16:44,440 --> 00:16:49,360 Speaker 7: eight page rule around like how Nvidia is supposed to 325 00:16:49,520 --> 00:16:53,640 Speaker 7: ship their latest and greatest chips to three different sets 326 00:16:53,680 --> 00:16:56,920 Speaker 7: of allies in terms of you know, countries that have 327 00:16:57,680 --> 00:17:02,600 Speaker 7: unrestricted access versus the ones where China could use them 328 00:17:02,640 --> 00:17:05,000 Speaker 7: as a proxy to get access to the chips. So 329 00:17:05,359 --> 00:17:08,440 Speaker 7: there were different sort of clauses in terms of restricting 330 00:17:09,000 --> 00:17:12,439 Speaker 7: the access to those chips. But at this point, you know, 331 00:17:12,480 --> 00:17:15,680 Speaker 7: given we keep hearing about Chinese llms and group being 332 00:17:15,720 --> 00:17:19,680 Speaker 7: the latest one releasing their own LLM at low costs, 333 00:17:20,080 --> 00:17:23,200 Speaker 7: It just goes to show that even with all the restrictions, 334 00:17:23,240 --> 00:17:26,240 Speaker 7: it hasn't really impeded their progress in any way and 335 00:17:26,320 --> 00:17:29,040 Speaker 7: they are able to, you know, build on whatever they 336 00:17:29,080 --> 00:17:29,800 Speaker 7: have available. 337 00:17:30,160 --> 00:17:33,920 Speaker 2: So to that point, do chip companies that are like, hey, 338 00:17:34,000 --> 00:17:35,560 Speaker 2: just let us get a piece of the pie that's 339 00:17:35,560 --> 00:17:38,040 Speaker 2: already going to build no matter what, or are they 340 00:17:38,040 --> 00:17:39,399 Speaker 2: really losing revenue from this? 341 00:17:39,960 --> 00:17:42,320 Speaker 7: Yeah, So there are two sides to it. One is, 342 00:17:42,440 --> 00:17:45,640 Speaker 7: if you ask an LLLM company like open Ai, Sam 343 00:17:45,680 --> 00:17:48,760 Speaker 7: Altman has said, had it not been the export controls, 344 00:17:49,080 --> 00:17:52,720 Speaker 7: they would be more undersupplied. Remember this market has been 345 00:17:52,840 --> 00:17:56,919 Speaker 7: undersupplied for a very long time. Everyone wants more GPUs 346 00:17:57,080 --> 00:18:00,000 Speaker 7: that they don't have access to. If the export controls 347 00:18:00,080 --> 00:18:03,480 Speaker 7: were not in place, these companies would be even more undersupplied. 348 00:18:03,520 --> 00:18:06,760 Speaker 7: But the other side is Nvidia is saying I'm losing 349 00:18:06,800 --> 00:18:10,080 Speaker 7: revenue because I have got, you know, twenty percent revenue 350 00:18:10,080 --> 00:18:13,040 Speaker 7: exposure to China. It's getting lower and lower to the 351 00:18:13,040 --> 00:18:16,040 Speaker 7: point that it will be less than ten percent now 352 00:18:16,200 --> 00:18:19,200 Speaker 7: and I'm losing potential revenue that I could get by 353 00:18:19,240 --> 00:18:22,040 Speaker 7: selling my chips. So there are both sides to it. 354 00:18:22,160 --> 00:18:25,160 Speaker 7: But I think the fact that this market is undersupplied 355 00:18:25,680 --> 00:18:29,240 Speaker 7: means that Nvidia does have you know, somebody to buy 356 00:18:29,240 --> 00:18:32,119 Speaker 7: their chips, and they continue to command premium pricing for that. 357 00:18:32,640 --> 00:18:35,680 Speaker 4: Do we have any idea where China is in terms 358 00:18:35,680 --> 00:18:38,439 Speaker 4: of developing their chips, where their technology is. 359 00:18:38,760 --> 00:18:39,040 Speaker 1: Yeah. 360 00:18:39,080 --> 00:18:43,680 Speaker 7: So with the latest Group model release, what they said 361 00:18:43,920 --> 00:18:46,840 Speaker 7: was they were able to bring down the pre training 362 00:18:46,920 --> 00:18:50,679 Speaker 7: costs by twenty percent by using not just the chips 363 00:18:50,680 --> 00:18:54,200 Speaker 7: that are available from Nvidia, but also their homegrown Huawei 364 00:18:54,359 --> 00:18:57,280 Speaker 7: chips or you know, AMD chips. So they talked about 365 00:18:57,280 --> 00:19:02,520 Speaker 7: a heterogeneous computer architecture and using that for pre training. 366 00:19:02,600 --> 00:19:06,960 Speaker 7: And look, in the end, everyone is looking to optimize 367 00:19:07,000 --> 00:19:10,320 Speaker 7: the infrastructure, more so in the case of Chinese llms 368 00:19:10,359 --> 00:19:13,520 Speaker 7: because they don't have access to the latest and video chips, 369 00:19:13,520 --> 00:19:17,360 Speaker 7: which give you more performance per unit of power than 370 00:19:17,400 --> 00:19:21,080 Speaker 7: any other chip company can provide. So from that perspective, 371 00:19:21,119 --> 00:19:24,560 Speaker 7: I feel they've done well in terms of using what's available. 372 00:19:25,040 --> 00:19:28,119 Speaker 7: But clearly I think the US based LLM companies have 373 00:19:28,200 --> 00:19:31,439 Speaker 7: an advantage given they have the best performing chips and 374 00:19:31,520 --> 00:19:34,080 Speaker 7: they can train their models much better. They can use 375 00:19:34,080 --> 00:19:36,960 Speaker 7: it for reasoning, so it is an advantage at the 376 00:19:37,080 --> 00:19:37,600 Speaker 7: end of the day. 377 00:19:37,640 --> 00:19:39,880 Speaker 2: That's what I was asking for and and deep seek, etc. 378 00:19:40,200 --> 00:19:43,080 Speaker 2: Like Are they accurate in the same way that LM 379 00:19:43,119 --> 00:19:44,440 Speaker 2: models in the US are accurate. 380 00:19:44,640 --> 00:19:48,120 Speaker 7: No, I think the OpenAI models are way better when 381 00:19:48,160 --> 00:19:52,200 Speaker 7: it comes to the reasoning capabilities and really the multimodeal 382 00:19:52,240 --> 00:19:55,480 Speaker 7: capabilities that everyone cares about. At the end of the day, 383 00:19:55,680 --> 00:19:58,400 Speaker 7: the use case for AI is not just a tech 384 00:19:58,480 --> 00:20:02,479 Speaker 7: space prompt risk sponds. It's much more than that. If 385 00:20:02,520 --> 00:20:06,800 Speaker 7: you're talking about AGI, and you know, everyone feels like 386 00:20:06,880 --> 00:20:09,879 Speaker 7: we can get to AGI, it's it's not just tech space. 387 00:20:09,960 --> 00:20:13,400 Speaker 7: You need audio, you need video, and the Chinese lms 388 00:20:13,400 --> 00:20:16,840 Speaker 7: are still way behind when it comes to the other modalities. 389 00:20:17,000 --> 00:20:19,200 Speaker 4: Right, let's be honest, you and anurag build a career 390 00:20:19,800 --> 00:20:22,760 Speaker 4: on seven stocks. Basically the people still want to talk 391 00:20:22,800 --> 00:20:25,639 Speaker 4: to you about the MAG seven or is that just passe? 392 00:20:25,960 --> 00:20:29,400 Speaker 7: Absolutely? I mean you can't really talk about the indices 393 00:20:29,440 --> 00:20:32,240 Speaker 7: without these MAG seven stocks. So, no matter what happens 394 00:20:32,280 --> 00:20:35,080 Speaker 7: to the market, these are some of the best companies 395 00:20:35,119 --> 00:20:38,120 Speaker 7: when it comes to generating free cash flow. And look, 396 00:20:38,520 --> 00:20:41,960 Speaker 7: they have tremendous modes so and they drive the marks. 397 00:20:41,960 --> 00:20:44,240 Speaker 4: I just feel like that, you know, fifteen percent or 398 00:20:44,320 --> 00:20:47,800 Speaker 4: so drawn down in the MAG seven's is that temporary 399 00:20:47,920 --> 00:20:51,160 Speaker 4: there's still that has knock anybody's confidence in those names. 400 00:20:51,240 --> 00:20:54,919 Speaker 7: Yeah, it's still the prevailing sort of sentiment that you know, 401 00:20:55,040 --> 00:20:58,159 Speaker 7: you buy the dips on these companies because they just 402 00:20:58,720 --> 00:21:01,800 Speaker 7: are fantastic when it comes to generating free cash flow. 403 00:21:02,080 --> 00:21:03,640 Speaker 2: Well, what I keep hearing a little bit though, too, 404 00:21:03,720 --> 00:21:06,680 Speaker 2: is that where these things are built, like the data 405 00:21:06,720 --> 00:21:08,760 Speaker 2: centers and how you power them, that's now kind of 406 00:21:08,840 --> 00:21:10,399 Speaker 2: up for grabs. Like we know that they're going to 407 00:21:10,400 --> 00:21:13,080 Speaker 2: work obviously in like Virginia, but are they really going 408 00:21:13,160 --> 00:21:14,840 Speaker 2: to work in Texas? And are they really going to 409 00:21:14,920 --> 00:21:17,240 Speaker 2: work in like North Dakota, And they're really going to 410 00:21:17,240 --> 00:21:18,959 Speaker 2: work with all this energy? So it's like how you 411 00:21:18,960 --> 00:21:21,160 Speaker 2: get it done? Feels like a question, But that shouldn't 412 00:21:21,160 --> 00:21:24,439 Speaker 2: affect the actual cap expend or the demand. That's just 413 00:21:24,440 --> 00:21:26,480 Speaker 2: sort of the back end part anyway. 414 00:21:26,840 --> 00:21:30,560 Speaker 7: Yes, So the second to play that everyone keeps talking. 415 00:21:30,440 --> 00:21:32,639 Speaker 2: Yeah, and that seems to be where the question marks are. 416 00:21:32,720 --> 00:21:35,959 Speaker 2: Mandeep always a pleasure man keeps saying Bloomberg Intelligence senior 417 00:21:36,000 --> 00:21:39,280 Speaker 2: tech industry analysts. And I should point out that spokespeople 418 00:21:39,280 --> 00:21:42,000 Speaker 2: for the White House and Commerce Department did not respond 419 00:21:42,000 --> 00:21:44,760 Speaker 2: to requests for comment on the story of tech chiefs 420 00:21:44,760 --> 00:21:47,679 Speaker 2: and foreign leaders urging Trump to rethink some AI chip curbs. 421 00:21:48,520 --> 00:21:53,200 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 422 00:21:53,400 --> 00:21:56,880 Speaker 1: and anywhere else you get your podcasts. Listen live each 423 00:21:56,920 --> 00:22:02,000 Speaker 1: weekday ten am to noon Eastern on Bloomberg, the iHeartRadio app, 424 00:22:02,200 --> 00:22:05,399 Speaker 1: tune In, and the Bloomberg Business app. You can also 425 00:22:05,520 --> 00:22:09,000 Speaker 1: watch us live every weekday on YouTube and always on 426 00:22:09,040 --> 00:22:10,320 Speaker 1: the Bloomberg terminal.