1 00:00:02,400 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:11,680 --> 00:00:15,480 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Jonathan Ferrow, along 3 00:00:15,520 --> 00:00:18,440 Speaker 2: with Lisa Bromwitz and a Marie Hordernt. Join us each 4 00:00:18,520 --> 00:00:21,440 Speaker 2: day for insight from the best in markets, economics, and 5 00:00:21,440 --> 00:00:24,759 Speaker 2: geopolitics from our global headquarters in New York City. We 6 00:00:24,800 --> 00:00:27,479 Speaker 2: are live on Bloomberg Television weekday mornings from six to 7 00:00:27,560 --> 00:00:31,040 Speaker 2: nine am Eastern. Subscribe to the podcast on Apple, Spotify 8 00:00:31,240 --> 00:00:33,519 Speaker 2: or anywhere else you listen, and as always on the 9 00:00:33,520 --> 00:00:37,199 Speaker 2: Bloomberg Terminal and the Bloomberg Business App. Gagie chatter if 10 00:00:37,200 --> 00:00:39,800 Speaker 2: Blankcrog joins us around the table. Gargie, good Mornic, good morning. 11 00:00:39,880 --> 00:00:41,360 Speaker 2: I know we want to address single names, but I 12 00:00:41,360 --> 00:00:43,519 Speaker 2: do want to understand the concentration risk around some of 13 00:00:43,560 --> 00:00:45,760 Speaker 2: these stories. How much of the fate of this market 14 00:00:45,800 --> 00:00:47,840 Speaker 2: is in the hands of just one name, one CEO, 15 00:00:48,080 --> 00:00:48,680 Speaker 2: one story. 16 00:00:49,200 --> 00:00:52,000 Speaker 3: Sure, good morning, Good to be here. So this is 17 00:00:52,040 --> 00:00:54,319 Speaker 3: exactly the theme that we write about in our Fall 18 00:00:54,400 --> 00:00:57,800 Speaker 3: Investment Directions that we wrote in early September, still very 19 00:00:57,840 --> 00:01:01,160 Speaker 3: relevant now, and the theme that we highlight there is, 20 00:01:01,200 --> 00:01:03,160 Speaker 3: you know, we all grew up in the markets hearing 21 00:01:03,240 --> 00:01:06,240 Speaker 3: the old fable of don't fight the FED, Now it's 22 00:01:06,440 --> 00:01:09,440 Speaker 3: don't fight the FED and don't fight the AI trade, 23 00:01:09,480 --> 00:01:13,600 Speaker 3: because that is what is going to drive drive sectors 24 00:01:13,640 --> 00:01:16,000 Speaker 3: and it's what's going to drive the overall performance of 25 00:01:16,040 --> 00:01:19,360 Speaker 3: the index. Yes, due to some of the names very 26 00:01:19,480 --> 00:01:23,319 Speaker 3: much being a part of the broader index, but those 27 00:01:23,360 --> 00:01:25,880 Speaker 3: few names, the top ten names, are also where the 28 00:01:26,000 --> 00:01:29,640 Speaker 3: majority of the earnings growth is coming from. And while 29 00:01:29,680 --> 00:01:32,479 Speaker 3: we read these headlines, I think we shouldn't lose sight 30 00:01:32,600 --> 00:01:35,040 Speaker 3: of that fact that if you look at Yurtle dat 31 00:01:35,120 --> 00:01:38,240 Speaker 3: returns seventy five percent or so have come from of 32 00:01:38,480 --> 00:01:41,120 Speaker 3: the total returns have come from earnings. And when we 33 00:01:41,160 --> 00:01:44,399 Speaker 3: see these headlines and we recognize what the future of 34 00:01:44,440 --> 00:01:47,280 Speaker 3: an Intel Nvidia is going to do, I think what 35 00:01:47,319 --> 00:01:50,760 Speaker 3: it points to is further earnings growth. 36 00:01:50,600 --> 00:01:52,120 Speaker 1: Just driving the S and P higher. 37 00:01:52,240 --> 00:01:56,200 Speaker 3: So keep AI as a core theme in your equity portfolio. 38 00:01:56,480 --> 00:01:59,000 Speaker 3: But I think more and more we're recognizing that you're 39 00:01:59,120 --> 00:02:01,200 Speaker 3: going to have to do it active manner because there's 40 00:02:01,200 --> 00:02:03,360 Speaker 3: certainly going to be names that are going to be 41 00:02:03,400 --> 00:02:06,680 Speaker 3: losers within this AI race and winners as well. 42 00:02:07,000 --> 00:02:11,240 Speaker 4: How are you active in management given the potential for 43 00:02:11,440 --> 00:02:14,080 Speaker 4: political overlays to the tech story as we've seen from 44 00:02:14,120 --> 00:02:16,440 Speaker 4: the US and from China. 45 00:02:16,600 --> 00:02:19,079 Speaker 3: What I mean by how one can be active is 46 00:02:19,120 --> 00:02:23,720 Speaker 3: obviously thinking about certain sectors or certain stocks themselves that 47 00:02:23,960 --> 00:02:27,120 Speaker 3: can not be as much of a beneficiary. And we 48 00:02:27,200 --> 00:02:30,280 Speaker 3: actually saw that around this earning season, right We saw 49 00:02:30,320 --> 00:02:35,040 Speaker 3: some software names that are not able to use AI 50 00:02:35,240 --> 00:02:37,560 Speaker 3: as much as one would have thought, as much as 51 00:02:37,600 --> 00:02:41,760 Speaker 3: expectations were, and are absolutely losing. And then obviously you 52 00:02:42,000 --> 00:02:44,560 Speaker 3: have more of the hyperscalers as well as the chip 53 00:02:44,600 --> 00:02:48,280 Speaker 3: manufacturers that are very much able to participate. So that 54 00:02:48,440 --> 00:02:51,239 Speaker 3: is the active management obviously. You know, in our fall 55 00:02:51,280 --> 00:02:54,320 Speaker 3: investment directions we talk about doing that through and I 56 00:02:54,440 --> 00:02:58,600 Speaker 3: SHARE's active ticker BAI. But investors can also do it 57 00:02:58,800 --> 00:03:02,320 Speaker 3: with you know, broad large gap ETFs. They can do 58 00:03:02,400 --> 00:03:06,440 Speaker 3: it through broad large growth ETFs versus moving away from 59 00:03:06,520 --> 00:03:08,760 Speaker 3: small caps, which has been our theme for the year. 60 00:03:08,840 --> 00:03:10,720 Speaker 4: Okay, that is exactly where I wanted to go, This 61 00:03:10,800 --> 00:03:12,760 Speaker 4: idea of don't fight the FED and don't fight the 62 00:03:12,800 --> 00:03:15,360 Speaker 4: AI same are they in conflict and this is the 63 00:03:15,360 --> 00:03:16,560 Speaker 4: way that they were yesterday. 64 00:03:16,639 --> 00:03:18,359 Speaker 1: The idea that people saw this is. 65 00:03:18,280 --> 00:03:20,040 Speaker 4: An opportunity to go out of some of the high 66 00:03:20,080 --> 00:03:23,120 Speaker 4: flyers and the expensive stocks and into small caps that 67 00:03:23,160 --> 00:03:27,080 Speaker 4: were less highly valued. And you saw that rotation yesterday. 68 00:03:27,360 --> 00:03:29,680 Speaker 4: You think that's a headfach based on what you just said, Well, 69 00:03:29,720 --> 00:03:30,480 Speaker 4: I think so. 70 00:03:30,480 --> 00:03:30,639 Speaker 5: So. 71 00:03:30,680 --> 00:03:33,600 Speaker 3: I think that we obviously saw August as a great 72 00:03:33,680 --> 00:03:36,800 Speaker 3: month for small caps, and then as September came around, 73 00:03:36,840 --> 00:03:40,160 Speaker 3: we've seen that fading just a little bit. Historically, we've 74 00:03:40,160 --> 00:03:43,440 Speaker 3: looked at periods where small gaps have outperformed the large 75 00:03:43,480 --> 00:03:46,320 Speaker 3: gaps in more than three to five hundred basis points. 76 00:03:46,560 --> 00:03:50,840 Speaker 3: It hasn't really been able to be very sustainable, and 77 00:03:50,960 --> 00:03:53,840 Speaker 3: partly it's a growth story. In small gaps you just 78 00:03:54,000 --> 00:03:57,280 Speaker 3: don't have that earnings growth. But broadly we all know 79 00:03:57,320 --> 00:03:59,880 Speaker 3: what's happening. I think Francis was talking about it earlier 80 00:04:00,000 --> 00:04:02,880 Speaker 3: in terms of the economy is changing and the rules 81 00:04:02,920 --> 00:04:07,880 Speaker 3: that led to our investment thesis last decade will not work. 82 00:04:07,920 --> 00:04:11,640 Speaker 3: Now many companies are staying private for so much longer 83 00:04:11,680 --> 00:04:13,960 Speaker 3: that companies when they finally go public. 84 00:04:14,080 --> 00:04:15,240 Speaker 1: As we can see. 85 00:04:15,160 --> 00:04:17,960 Speaker 3: The size of IPOs going from about three to five 86 00:04:18,040 --> 00:04:21,039 Speaker 3: hundred million to over a billion, they are now no 87 00:04:21,160 --> 00:04:24,680 Speaker 3: longer small cap companies. So the market is shifting. You 88 00:04:24,880 --> 00:04:28,640 Speaker 3: have also from a macro perspective, rates are still higher 89 00:04:28,680 --> 00:04:31,040 Speaker 3: than the sort of zero regime that we were in 90 00:04:31,080 --> 00:04:33,279 Speaker 3: for a very long time, and you don't have the 91 00:04:33,279 --> 00:04:36,559 Speaker 3: earnings growth. So I think we can see certain short 92 00:04:36,640 --> 00:04:39,400 Speaker 3: term movements, and I think we've seen investors play that 93 00:04:39,560 --> 00:04:43,960 Speaker 3: via options on things like ISWM. Absolutely do that, but 94 00:04:44,240 --> 00:04:47,320 Speaker 3: this is not a sustainable theme. Come back to large gap, 95 00:04:47,600 --> 00:04:49,800 Speaker 3: come back to growth, come back to AI. 96 00:04:50,839 --> 00:05:03,800 Speaker 2: Stay with US. Multilemberg surveillance coming up after this, joining 97 00:05:03,880 --> 00:05:06,359 Speaker 2: us now to discuss the former Kansas City Fed president 98 00:05:06,600 --> 00:05:08,919 Speaker 2: as the George Es the Welcome back to the program. 99 00:05:09,080 --> 00:05:11,360 Speaker 2: I love talking to you about this because you've experienced it. 100 00:05:11,839 --> 00:05:15,440 Speaker 2: You've been that, you've dissented on the committee yourself personally, 101 00:05:15,720 --> 00:05:18,919 Speaker 2: and you've seen dot plots with huge dispersion and a 102 00:05:18,960 --> 00:05:21,680 Speaker 2: wide range of outcomes for the years ahead. Is this 103 00:05:21,800 --> 00:05:24,720 Speaker 2: different somehow from what you've seen and lived? Is this 104 00:05:24,760 --> 00:05:26,480 Speaker 2: somehow different what we saw yesterday? 105 00:05:28,240 --> 00:05:30,960 Speaker 6: Well, it's different in this sense, Jonathan. You have a 106 00:05:31,040 --> 00:05:36,159 Speaker 6: lot swirling around today's economic decisions that have to be 107 00:05:36,200 --> 00:05:40,159 Speaker 6: made about monetary policy. They come from challenges to the 108 00:05:40,200 --> 00:05:44,520 Speaker 6: institution itself. They're coming from an economy that is far 109 00:05:45,160 --> 00:05:48,800 Speaker 6: from clear in terms of what the ultimate impact is 110 00:05:48,839 --> 00:05:51,400 Speaker 6: and again, this is a committee that has to think 111 00:05:51,400 --> 00:05:54,640 Speaker 6: about the long run even as they make today's decisions. 112 00:05:54,680 --> 00:05:58,839 Speaker 6: And so you have dramatic changes in trade policy and 113 00:05:58,880 --> 00:06:04,600 Speaker 6: immigration policy, all that are hitting directly on both uncertainty 114 00:06:04,600 --> 00:06:07,480 Speaker 6: about where that long run is as well as where 115 00:06:07,520 --> 00:06:10,960 Speaker 6: are things landing today. So not surprising I think that 116 00:06:11,040 --> 00:06:14,240 Speaker 6: you see this kind of dispersion giving the changes going 117 00:06:14,279 --> 00:06:16,200 Speaker 6: on in the economy, given. 118 00:06:15,920 --> 00:06:18,520 Speaker 4: That kind of type of a backdrop, do you think 119 00:06:18,640 --> 00:06:21,760 Speaker 4: Esther that we're looking at a scenario where forward guidance 120 00:06:22,120 --> 00:06:23,279 Speaker 4: has no value anymore? 121 00:06:25,200 --> 00:06:27,320 Speaker 6: Well, I don't think this is a time you can 122 00:06:27,440 --> 00:06:31,800 Speaker 6: make forward guidance, and really forward guidance can be fraught anytime. 123 00:06:31,960 --> 00:06:35,840 Speaker 6: Because we live in a dynamic economy, things can change 124 00:06:36,240 --> 00:06:39,440 Speaker 6: that make it hard for the Central Bank to fulfill 125 00:06:39,520 --> 00:06:43,080 Speaker 6: commitments like that. And so again this is a time 126 00:06:43,200 --> 00:06:47,239 Speaker 6: where you hear from businesses. They are still sorting out 127 00:06:48,160 --> 00:06:50,919 Speaker 6: what the in game looks like here. They are still 128 00:06:51,000 --> 00:06:55,359 Speaker 6: sorting out what increased costs are going to mean to 129 00:06:55,480 --> 00:06:59,120 Speaker 6: both their bottom line to their employment status. And so 130 00:06:59,320 --> 00:07:01,719 Speaker 6: it's hard to put a pin that you can see 131 00:07:01,880 --> 00:07:04,240 Speaker 6: a clear direction for the economy. I think you heard 132 00:07:04,279 --> 00:07:07,920 Speaker 6: that coming out of the meeting yesterday. The committee had 133 00:07:07,960 --> 00:07:11,480 Speaker 6: to make a decision. They made a decision. But the 134 00:07:11,560 --> 00:07:15,280 Speaker 6: dispersion I think belies some of the consensus you saw esther. 135 00:07:15,400 --> 00:07:17,320 Speaker 4: Can you talk a little bit about how hard it 136 00:07:17,360 --> 00:07:20,760 Speaker 4: is to persuade fellow governors to get on your side 137 00:07:20,800 --> 00:07:23,960 Speaker 4: when you do when you do disagree with them, how 138 00:07:24,000 --> 00:07:25,880 Speaker 4: difficult it is to make that case. 139 00:07:27,960 --> 00:07:30,480 Speaker 6: Yes, so it's a requirement of the job. I always 140 00:07:30,960 --> 00:07:35,200 Speaker 6: thought in that and certainly you are trying to articulate 141 00:07:35,240 --> 00:07:39,000 Speaker 6: in a very thoughtful way the factors that weigh on 142 00:07:39,040 --> 00:07:42,600 Speaker 6: your judgment, how you put the weight on different variables, 143 00:07:42,640 --> 00:07:46,280 Speaker 6: which everyone around that table is doing. At the end 144 00:07:46,360 --> 00:07:50,520 Speaker 6: of the day, though that you are the loan dissenter, 145 00:07:50,800 --> 00:07:53,840 Speaker 6: that the majority makes a decision in a different place 146 00:07:54,120 --> 00:07:58,560 Speaker 6: doesn't necessarily undermine the argument that's being made. It simply 147 00:07:58,640 --> 00:08:02,160 Speaker 6: says that the weight was in another direction and there 148 00:08:02,240 --> 00:08:06,040 Speaker 6: was consensus built around a different view. I think what's 149 00:08:06,080 --> 00:08:11,200 Speaker 6: important is that you don't dismiss entirely when you hear 150 00:08:11,320 --> 00:08:13,360 Speaker 6: dissenting voices about what it means. 151 00:08:13,800 --> 00:08:15,680 Speaker 2: As so, if you look through the forecast, a lot 152 00:08:15,680 --> 00:08:18,360 Speaker 2: of people have called them highly contradictory through some odd 153 00:08:18,400 --> 00:08:21,560 Speaker 2: things going on just in terms of upgrading the outlook 154 00:08:21,600 --> 00:08:23,880 Speaker 2: for growth and then cutting interest rates. Some things don't 155 00:08:23,880 --> 00:08:26,280 Speaker 2: make sense to some people. You know, when these things 156 00:08:26,280 --> 00:08:28,880 Speaker 2: were introduced, the dot plot and forecast, it was to 157 00:08:29,000 --> 00:08:31,400 Speaker 2: enhance communication. Do you think we've got to the point 158 00:08:31,400 --> 00:08:33,120 Speaker 2: where it started to compromise it. 159 00:08:34,880 --> 00:08:38,440 Speaker 6: Well, that's been the case at many times since the 160 00:08:38,480 --> 00:08:41,720 Speaker 6: introduction of that dot plot, and again I think it 161 00:08:41,920 --> 00:08:46,920 Speaker 6: always bears reminding people this is not a committee forecast. Yes, 162 00:08:47,080 --> 00:08:51,359 Speaker 6: you can draw some conclusions about tendencies and the medians 163 00:08:51,440 --> 00:08:54,120 Speaker 6: where they come out for this committee, but when you 164 00:08:54,160 --> 00:08:59,079 Speaker 6: see dispersion like this, it tells you that we're looking 165 00:08:59,120 --> 00:09:02,760 Speaker 6: pretty short term. This idea of meeting to meeting sounds 166 00:09:02,840 --> 00:09:05,640 Speaker 6: right to me. You don't have a committee that agrees 167 00:09:05,840 --> 00:09:08,000 Speaker 6: on what the long run is, and that's true either 168 00:09:08,280 --> 00:09:12,040 Speaker 6: of their long run FED Funds forecast those are ranging 169 00:09:12,120 --> 00:09:16,319 Speaker 6: from below two and a half percent to closer to four. 170 00:09:17,320 --> 00:09:20,720 Speaker 6: That tells you that this idea about how restrictive they 171 00:09:20,800 --> 00:09:24,360 Speaker 6: are has a lot of different views coming to bear 172 00:09:24,920 --> 00:09:25,959 Speaker 6: at the table Astro. 173 00:09:26,000 --> 00:09:27,480 Speaker 2: I think a lot of people would agree with you 174 00:09:27,520 --> 00:09:30,000 Speaker 2: most in fact, that you shouldn't draw too many conclusions 175 00:09:30,000 --> 00:09:32,920 Speaker 2: from those forecasts. But there is one uncomfortable conclusion that 176 00:09:32,960 --> 00:09:37,160 Speaker 2: many people have drawn, and this institution is no longer 177 00:09:37,200 --> 00:09:40,920 Speaker 2: credibly pursuing the two percent inflation target. Is that an 178 00:09:41,000 --> 00:09:43,120 Speaker 2: unfair criticism? 179 00:09:43,640 --> 00:09:46,320 Speaker 6: Well, the committee certainly has not said that. We have 180 00:09:46,480 --> 00:09:49,120 Speaker 6: not heard the chairman say that. But I think the 181 00:09:49,280 --> 00:09:55,720 Speaker 6: actions here put them at risk over the next few months, frankly, 182 00:09:55,840 --> 00:10:00,440 Speaker 6: because they continue to push away from thinking that in inflation, 183 00:10:01,000 --> 00:10:05,040 Speaker 6: although characterized as an upside risk, is one that they 184 00:10:05,240 --> 00:10:07,120 Speaker 6: are not going to be able to deal with. And 185 00:10:07,200 --> 00:10:10,200 Speaker 6: I think the challenge there is this is a committee 186 00:10:10,240 --> 00:10:15,520 Speaker 6: that has relied heavily on anchored inflation expectations, and as 187 00:10:15,640 --> 00:10:20,960 Speaker 6: those move, and as the public which has experienced high inflation, 188 00:10:21,600 --> 00:10:24,360 Speaker 6: I think this will become a real challenge for the 189 00:10:24,400 --> 00:10:27,720 Speaker 6: committee under the forecast that they've laid out. 190 00:10:29,280 --> 00:10:42,440 Speaker 2: Stay with us. Mulblinberg, Savannah's coming up after this. Dannats 191 00:10:42,440 --> 00:10:44,280 Speaker 2: of wet Bush is standing by once to jump on it. 192 00:10:44,360 --> 00:10:47,120 Speaker 2: Calls the deal a huge game changer for Intel. Dan, 193 00:10:47,120 --> 00:10:49,520 Speaker 2: good morning and welcome to the program. Why do you 194 00:10:49,559 --> 00:10:51,920 Speaker 2: believe this is such a huge game changer? 195 00:10:53,080 --> 00:10:55,319 Speaker 7: Pop the champagne, I mean for Intel. 196 00:10:55,480 --> 00:11:00,240 Speaker 5: Now you have Nvidia, godfather of AI doubling down, and 197 00:11:00,280 --> 00:11:02,480 Speaker 5: this files obviously US government investment. 198 00:11:02,480 --> 00:11:06,520 Speaker 7: I mean, what this essentially does, It brings Intel into 199 00:11:06,559 --> 00:11:09,880 Speaker 7: the AI game. I think from a stock perspective, that 200 00:11:10,440 --> 00:11:11,400 Speaker 7: changes the multiple. 201 00:11:11,920 --> 00:11:15,440 Speaker 5: And clearly this is also going to be viewed very 202 00:11:15,520 --> 00:11:19,160 Speaker 5: positively in DC. I think that's something that could definitely 203 00:11:19,160 --> 00:11:21,360 Speaker 5: help Gens and others when it comes to China. 204 00:11:21,920 --> 00:11:22,120 Speaker 7: Dan. 205 00:11:22,360 --> 00:11:24,720 Speaker 4: I do wander though about man Deep's point, this idea 206 00:11:24,800 --> 00:11:28,080 Speaker 4: that this isn't Invidia going all in and developing their 207 00:11:28,200 --> 00:11:32,559 Speaker 4: chips for the big semiconductors so that the big hyperscalers 208 00:11:32,960 --> 00:11:36,880 Speaker 4: at the at the Intel foundry. This is simply a 209 00:11:36,920 --> 00:11:41,000 Speaker 4: five billion dollar side project about PCs. How much is 210 00:11:41,040 --> 00:11:44,600 Speaker 4: this essentially just an olive branch to the president and 211 00:11:44,640 --> 00:11:47,440 Speaker 4: not an actual move of Nvidia to try to fortify 212 00:11:47,640 --> 00:11:50,120 Speaker 4: Intel's plans to become the foundry. 213 00:11:50,920 --> 00:11:53,160 Speaker 5: You know if mandeep brings up Greade points as always, 214 00:11:53,160 --> 00:11:55,640 Speaker 5: But look, this is also it's a double one down 215 00:11:55,720 --> 00:11:56,920 Speaker 5: on investment in the US. 216 00:11:57,080 --> 00:11:58,280 Speaker 7: I mean, that's. 217 00:11:57,840 --> 00:12:00,000 Speaker 5: Also what it is now clearly that obviously I'll bring 218 00:12:00,280 --> 00:12:03,600 Speaker 5: to Trump administration and others. But what they're also doing 219 00:12:03,760 --> 00:12:06,839 Speaker 5: is when it comes to PC upgrade cycle X eighty 220 00:12:06,920 --> 00:12:10,360 Speaker 5: six I mean, this does give them another potential growth 221 00:12:10,440 --> 00:12:13,400 Speaker 5: lever and look in video right now, it's in Vidia's world, 222 00:12:13,400 --> 00:12:16,040 Speaker 5: everyone else's pain Rint and they know that they're in 223 00:12:16,080 --> 00:12:19,160 Speaker 5: a massive position of strength. But for Intel, I mean 224 00:12:19,360 --> 00:12:22,280 Speaker 5: about you went, you know, you went from Qullite a 225 00:12:22,280 --> 00:12:25,080 Speaker 5: month ago. You know, some worries about you know, in 226 00:12:25,160 --> 00:12:27,320 Speaker 5: terms of the CEO potentially out. 227 00:12:27,440 --> 00:12:31,240 Speaker 7: Now you get the investment from government and you have Intel. 228 00:12:31,520 --> 00:12:33,880 Speaker 5: You know, now again in Vidia, I mean, that is 229 00:12:33,920 --> 00:12:36,080 Speaker 5: a Goldilock scenario for Intel. 230 00:12:36,440 --> 00:12:38,560 Speaker 4: This is coming at a time when China is trying 231 00:12:38,559 --> 00:12:43,839 Speaker 4: to emphasize domestic production of their own technology and really 232 00:12:44,080 --> 00:12:47,080 Speaker 4: trying to create national champions there that can rival in 233 00:12:47,200 --> 00:12:50,480 Speaker 4: Vidia and other US tech giants. I just wonder whether 234 00:12:50,720 --> 00:12:53,760 Speaker 4: it is possible to continue, for the likes of Nvidia 235 00:12:53,880 --> 00:12:56,960 Speaker 4: trying to push into China, trying to sell more advanced 236 00:12:57,000 --> 00:13:00,680 Speaker 4: tips into that country, while at the same time, you know, 237 00:13:00,960 --> 00:13:04,760 Speaker 4: playing with this idea of US independence from China. 238 00:13:05,760 --> 00:13:07,280 Speaker 7: Look, it's a tight wire act. 239 00:13:07,320 --> 00:13:09,680 Speaker 5: But the reality is that there's one ship in the 240 00:13:09,720 --> 00:13:13,079 Speaker 5: world viewing the Ai revolution and that's that's what by 241 00:13:13,080 --> 00:13:15,880 Speaker 5: godfather of aigens in a video, and that's why in China, 242 00:13:16,000 --> 00:13:20,120 Speaker 5: look they could tell Chinese big tech Embijing, don't buy 243 00:13:20,160 --> 00:13:23,000 Speaker 5: in video chip that that's like telling a kid, okay, 244 00:13:23,080 --> 00:13:26,720 Speaker 5: don't eat the candy that's on the table. So that's 245 00:13:26,760 --> 00:13:30,640 Speaker 5: the reality because they're years ahead of when you look 246 00:13:30,679 --> 00:13:31,840 Speaker 5: at Huawei and others. 247 00:13:32,320 --> 00:13:35,839 Speaker 7: But at the same time, I mean, tru administration recognizes. 248 00:13:35,320 --> 00:13:40,679 Speaker 5: They have to strengthen AI infrastructure, AI ship making. And 249 00:13:40,720 --> 00:13:42,920 Speaker 5: you look at Intel, I mean they've gone obviously from 250 00:13:42,960 --> 00:13:43,720 Speaker 5: a huge laggard. 251 00:13:43,800 --> 00:13:45,240 Speaker 7: I mean Intel, you. 252 00:13:45,200 --> 00:13:47,720 Speaker 5: Know all the red tape, all the sort of black 253 00:13:47,760 --> 00:13:52,640 Speaker 5: eye moments, you finally have some positives at Intel. 254 00:13:54,280 --> 00:13:57,720 Speaker 2: Stay with us, multile Impex Savannas coming up off to this. 255 00:14:06,920 --> 00:14:09,960 Speaker 2: Native Richardson of IDP joined us in the studio Nada. 256 00:14:10,000 --> 00:14:10,320 Speaker 7: Good morning. 257 00:14:10,360 --> 00:14:12,360 Speaker 2: It's good to say running this is a tough one 258 00:14:12,400 --> 00:14:14,679 Speaker 2: to read. You help us out. Where is this lang 259 00:14:14,760 --> 00:14:16,160 Speaker 2: of market right now? What's happening? 260 00:14:16,600 --> 00:14:20,680 Speaker 8: Labor market is strong, Actually it's solid, and I think 261 00:14:21,160 --> 00:14:24,360 Speaker 8: there is a comment that has to be made it 262 00:14:24,480 --> 00:14:28,840 Speaker 8: is weakening. But the labor market is not weak. And 263 00:14:28,920 --> 00:14:31,400 Speaker 8: if you look at the stock, and that's what a 264 00:14:31,440 --> 00:14:33,880 Speaker 8: lot of your audience is used to doing, looking at 265 00:14:33,880 --> 00:14:35,040 Speaker 8: the stock and the flows. 266 00:14:35,080 --> 00:14:36,120 Speaker 1: If you look at the stock. 267 00:14:36,160 --> 00:14:39,160 Speaker 8: What you'll see is that the consumer is really smoothing 268 00:14:39,200 --> 00:14:40,720 Speaker 8: out all the rough edges. 269 00:14:40,480 --> 00:14:41,280 Speaker 1: In the economy. 270 00:14:41,640 --> 00:14:44,200 Speaker 8: And it's true for the labor market as well. There's 271 00:14:44,360 --> 00:14:47,400 Speaker 8: very little turnover in this labor market. I was really 272 00:14:47,480 --> 00:14:50,960 Speaker 8: shocked by that upward surprise and Jabos claims last week, 273 00:14:51,000 --> 00:14:52,760 Speaker 8: and now I know that that was just a mirage 274 00:14:53,120 --> 00:14:57,160 Speaker 8: and we're back to historical lows. There's very little flow 275 00:14:57,240 --> 00:14:59,160 Speaker 8: out and there's very little flow in. 276 00:14:59,480 --> 00:15:00,280 Speaker 1: But what that. 277 00:15:00,120 --> 00:15:03,440 Speaker 8: Means for the consumer is that they're not defying gravity 278 00:15:03,560 --> 00:15:06,120 Speaker 8: when you see that pop in retail sales. They are 279 00:15:06,440 --> 00:15:10,320 Speaker 8: well anchored by a functioning labor market where they are 280 00:15:10,440 --> 00:15:15,080 Speaker 8: employed and working, and those incomes are fueling spending. And 281 00:15:15,120 --> 00:15:18,320 Speaker 8: as long as that continues to happen, we can live 282 00:15:18,400 --> 00:15:22,440 Speaker 8: with the uncertainty of fewer flows and hirings in and 283 00:15:22,560 --> 00:15:25,800 Speaker 8: out of the labor market if the stock is healthy well. 284 00:15:25,840 --> 00:15:27,800 Speaker 4: And this raises the point that maybe this is a 285 00:15:27,840 --> 00:15:30,920 Speaker 4: new normal, the sort of low higher, low fire type 286 00:15:30,920 --> 00:15:33,760 Speaker 4: of churn, And I just wonder if that's true, if 287 00:15:33,800 --> 00:15:35,600 Speaker 4: that's the case, or if you do see some sort 288 00:15:35,640 --> 00:15:38,720 Speaker 4: of reacceleration hiring, especially if there is some sort of 289 00:15:38,720 --> 00:15:41,880 Speaker 4: commensurate reacceleration in the economy heading into the end of 290 00:15:41,920 --> 00:15:42,240 Speaker 4: the year. 291 00:15:42,480 --> 00:15:44,320 Speaker 8: Yeah, so that goes back to the weakening, and I 292 00:15:44,320 --> 00:15:46,720 Speaker 8: do think the labor market is weakening, but not for 293 00:15:46,800 --> 00:15:50,440 Speaker 8: the reasons that were explained yesterday. Not simply because of 294 00:15:50,480 --> 00:15:54,600 Speaker 8: the hiring rate, but really the concentration of hiring and Lisa, you. 295 00:15:54,560 --> 00:15:56,080 Speaker 1: And I have talked about this a lot. 296 00:15:56,320 --> 00:15:58,240 Speaker 8: If you look at the BLS data, if you look 297 00:15:58,240 --> 00:16:00,800 Speaker 8: at the ADP data, what you'll see is a heavily 298 00:16:00,960 --> 00:16:05,360 Speaker 8: concentrated hiring market and key consumer sectors, whether it's healthcare 299 00:16:05,360 --> 00:16:09,080 Speaker 8: for the BLS or leisure in hospitality and ADP, it's 300 00:16:09,120 --> 00:16:13,320 Speaker 8: the consumer who's driving hiring, and the consumer's wins are 301 00:16:13,360 --> 00:16:16,400 Speaker 8: really forming and shaping today's labor market. 302 00:16:16,480 --> 00:16:17,480 Speaker 1: I think that's a concern. 303 00:16:17,880 --> 00:16:21,200 Speaker 8: You want broad based hiring, you don't want it concentrated. 304 00:16:21,320 --> 00:16:22,960 Speaker 1: That's not good for the future. 305 00:16:23,160 --> 00:16:26,080 Speaker 8: So there are reasons to be concerned about this labor market, 306 00:16:26,200 --> 00:16:28,640 Speaker 8: but the ones in terms of just the number of 307 00:16:28,720 --> 00:16:31,800 Speaker 8: jobs that are added every single month. I think that's 308 00:16:31,840 --> 00:16:34,320 Speaker 8: not the biggest problem with the labor market right now. 309 00:16:34,360 --> 00:16:36,920 Speaker 4: Going forward, we've been talking about the conflict between the 310 00:16:36,960 --> 00:16:39,320 Speaker 4: real economy and this idea that there is something kind 311 00:16:39,320 --> 00:16:42,360 Speaker 4: of quirky or not totally healthy about the labor market 312 00:16:42,360 --> 00:16:45,080 Speaker 4: and the idea that you're seeing this boom in a 313 00:16:45,120 --> 00:16:48,080 Speaker 4: select number of stocks, but it does seem to be broadening. 314 00:16:48,600 --> 00:16:50,680 Speaker 4: Do you think that that also is a new normal 315 00:16:51,040 --> 00:16:53,920 Speaker 4: that companies can keep doing really well but not increase 316 00:16:53,960 --> 00:16:56,720 Speaker 4: their headcount considerably or invest in talent, or do you 317 00:16:56,760 --> 00:16:59,840 Speaker 4: think that this is something that has to reconcile. 318 00:17:00,000 --> 00:17:00,920 Speaker 1: Markets and companies. 319 00:17:01,000 --> 00:17:04,560 Speaker 8: The truth is, if you're not growing, you're not going 320 00:17:04,600 --> 00:17:07,440 Speaker 8: to be around for long. And I think that when 321 00:17:07,440 --> 00:17:09,640 Speaker 8: when we look at the labor market, what I see 322 00:17:09,720 --> 00:17:12,159 Speaker 8: is a tipping point. I see a labor market that 323 00:17:12,280 --> 00:17:15,240 Speaker 8: is very dependent on the consumer and a consumer that 324 00:17:15,359 --> 00:17:17,720 Speaker 8: is very dependent on the labor market. And I think 325 00:17:17,760 --> 00:17:21,560 Speaker 8: this is an uneasy truth. It's a delicate relationship because 326 00:17:21,600 --> 00:17:24,399 Speaker 8: anything could upend it. And that is the issue for 327 00:17:24,480 --> 00:17:27,359 Speaker 8: companies as well. If their demand is coming from a 328 00:17:27,440 --> 00:17:31,359 Speaker 8: resilient consumer only, and that consumer is dependent and most 329 00:17:31,359 --> 00:17:34,160 Speaker 8: of us are on the labor market, then you can 330 00:17:34,200 --> 00:17:38,320 Speaker 8: see how these fractures could lead to something bigger for 331 00:17:38,520 --> 00:17:41,840 Speaker 8: consumer companies right now, so they're very dependent on that 332 00:17:41,960 --> 00:17:45,280 Speaker 8: demand outlook, and it's uncertain and there's a lot of 333 00:17:45,359 --> 00:17:46,000 Speaker 8: risk around it. 334 00:17:46,080 --> 00:17:49,000 Speaker 2: So yesterday I found really messy listening to what you've 335 00:17:49,000 --> 00:17:51,560 Speaker 2: got to say about things. Could these decisions get messy up? 336 00:17:52,080 --> 00:17:54,200 Speaker 2: Given how difficult is to read things at the moment? 337 00:17:54,359 --> 00:17:54,560 Speaker 7: You know? 338 00:17:55,760 --> 00:17:58,480 Speaker 8: A Vice Church Jeffries gave us speech about two years 339 00:17:58,520 --> 00:18:01,840 Speaker 8: ago on the difference between uncertainty and risk, and that 340 00:18:02,119 --> 00:18:05,520 Speaker 8: term risk management really stood out to me because risk 341 00:18:05,760 --> 00:18:07,919 Speaker 8: is something where you don't know the outcome, but you 342 00:18:08,000 --> 00:18:11,080 Speaker 8: know the distribution, and therefore you can act to in 343 00:18:11,119 --> 00:18:14,240 Speaker 8: a way if you're the fed to, you know, try 344 00:18:14,320 --> 00:18:17,919 Speaker 8: to tilt towards an outcome that is preferred. Uncertainty, you 345 00:18:17,960 --> 00:18:20,240 Speaker 8: don't know the outcome and you don't know the distribution, 346 00:18:20,440 --> 00:18:23,720 Speaker 8: And I think we're there more now than we were 347 00:18:23,800 --> 00:18:27,119 Speaker 8: even two years ago. We have an uncertain distribution. So 348 00:18:27,200 --> 00:18:30,480 Speaker 8: it calls into question whether a short term rate move 349 00:18:30,640 --> 00:18:33,480 Speaker 8: is really going to affect these long term structural issues 350 00:18:33,520 --> 00:18:38,800 Speaker 8: tied to demographics, immigration, and higher inflation than we're used to. 351 00:18:39,040 --> 00:18:41,000 Speaker 2: With that in mind, is they get closer and closer 352 00:18:41,040 --> 00:18:45,160 Speaker 2: to neutral? How do they confront the situation you've just described. 353 00:18:47,680 --> 00:18:51,520 Speaker 8: Historically they've done so with data and really having a 354 00:18:51,600 --> 00:18:55,200 Speaker 8: strong read of not only where the economy is now, 355 00:18:55,240 --> 00:18:57,720 Speaker 8: but where it's going, and that is going to be 356 00:18:57,800 --> 00:19:01,440 Speaker 8: critical because they have to work into time dimensions right 357 00:19:01,480 --> 00:19:04,440 Speaker 8: now in the future. And right now, things look pretty good. 358 00:19:05,200 --> 00:19:07,439 Speaker 8: The stock like I said, for the labor market is 359 00:19:07,480 --> 00:19:11,520 Speaker 8: pretty good, the unemployment rate is below what we've seen historically. 360 00:19:12,440 --> 00:19:17,080 Speaker 8: But in the future, if these structural changes become live, 361 00:19:17,240 --> 00:19:20,920 Speaker 8: real time constraints to the economy, then the FED has 362 00:19:20,960 --> 00:19:24,080 Speaker 8: to act and act quickly. And that is the uncertainty 363 00:19:24,119 --> 00:19:26,040 Speaker 8: that we're all going to be grappling with. 364 00:19:26,480 --> 00:19:29,560 Speaker 4: Just a random question for me, how long before college 365 00:19:29,560 --> 00:19:30,840 Speaker 4: graduates actually get jobs? 366 00:19:31,400 --> 00:19:33,840 Speaker 8: Well, my son graduates in two years, so I'm hoping 367 00:19:33,880 --> 00:19:37,480 Speaker 8: for that, so I'm not going to come back. I 368 00:19:37,520 --> 00:19:42,400 Speaker 8: think for early career we're also seeing a complex relationship 369 00:19:42,480 --> 00:19:46,639 Speaker 8: right because we're seeing they're entering a jobs market where 370 00:19:46,760 --> 00:19:49,920 Speaker 8: AI is becoming more and more present in their skill set. 371 00:19:50,240 --> 00:19:53,119 Speaker 8: And when you think about where AI shows up for 372 00:19:53,160 --> 00:19:56,439 Speaker 8: these early careers, for careers in general, it's showing up, 373 00:19:56,480 --> 00:20:00,000 Speaker 8: according to research done by Stanford and using ADP data, 374 00:20:00,520 --> 00:20:04,120 Speaker 8: in early career in AI exposed fields. And that's not 375 00:20:04,200 --> 00:20:07,840 Speaker 8: just software developers, that's marketing, that's finance, it's anything that 376 00:20:07,880 --> 00:20:11,960 Speaker 8: you use a spreadsheet or some kind of document to 377 00:20:12,040 --> 00:20:15,200 Speaker 8: do so. I do think that there is a transition point. 378 00:20:15,280 --> 00:20:18,639 Speaker 8: The good news is, in this very stable labor market, 379 00:20:18,720 --> 00:20:23,560 Speaker 8: companies are leaning into employee engagement, employee training, employee upskilling 380 00:20:23,600 --> 00:20:25,760 Speaker 8: in a way that they weren't doing before the pandemic. 381 00:20:25,800 --> 00:20:27,880 Speaker 1: So there's hope that if. 382 00:20:27,800 --> 00:20:32,320 Speaker 8: The economy stays strong, that this early career population, which 383 00:20:32,359 --> 00:20:35,680 Speaker 8: is our future, will be trained into those durable jobs. 384 00:20:36,560 --> 00:20:40,120 Speaker 2: This is the Bloomberg Survendics podcast, bringing you the best 385 00:20:40,160 --> 00:20:43,240 Speaker 2: in markets, economics, an gio politics. You can watch the 386 00:20:43,240 --> 00:20:46,240 Speaker 2: show live on Bloomberg TV weekday mornings from six am 387 00:20:46,400 --> 00:20:50,359 Speaker 2: to nine am Eastern. Subscribe to the podcast on Apple, Spotify, 388 00:20:50,480 --> 00:20:52,720 Speaker 2: or anywhere else you listen, and as always on the 389 00:20:52,760 --> 00:20:55,120 Speaker 2: Bloomberg Terminal and the Bloomberg Business opp