1 00:00:02,400 --> 00:00:17,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:14,080 --> 00:00:16,560 Speaker 2: The single best idea out on Apple podcasts. Thank you 3 00:00:16,640 --> 00:00:19,880 Speaker 2: so much. The plan here is a six minute, five minute, 4 00:00:20,079 --> 00:00:23,759 Speaker 2: seven minute quick view of two smart voices sometimes three 5 00:00:23,880 --> 00:00:26,639 Speaker 2: today two two smart voices of what we do on 6 00:00:26,680 --> 00:00:30,520 Speaker 2: Bloomberg Survey. Once again it's three hours. Look for it 7 00:00:30,560 --> 00:00:35,160 Speaker 2: on YouTube, subscribe to Bloomberg Podcasts, search for Bloomberg Podcasts, 8 00:00:35,880 --> 00:00:39,960 Speaker 2: and then we try to pick out here two pieces 9 00:00:40,040 --> 00:00:42,800 Speaker 2: of the show that we think have some real insight. 10 00:00:42,920 --> 00:00:45,720 Speaker 2: I'll emphasize it's not like a committee. We don't have 11 00:00:45,760 --> 00:00:48,960 Speaker 2: a three hour meeting. We're not sitting around a desk going, oh, 12 00:00:49,000 --> 00:00:51,680 Speaker 2: you know, I don't Anastasia, I really don't like what 13 00:00:51,720 --> 00:00:54,320 Speaker 2: she said, or that we just picked two of the 14 00:00:54,440 --> 00:00:57,920 Speaker 2: wonderful voices we have today. I really want to emphasize 15 00:00:58,080 --> 00:01:00,480 Speaker 2: some of the skill and talent of Bloomberg opinion. We 16 00:01:00,520 --> 00:01:04,640 Speaker 2: had today Leonel Laurent from Paris on the French elections, 17 00:01:04,640 --> 00:01:10,200 Speaker 2: and he was absolutely riveting. It is not certitude, but 18 00:01:10,360 --> 00:01:13,319 Speaker 2: his belief that mister mccron has lost It's really the 19 00:01:13,319 --> 00:01:16,600 Speaker 2: first time I've heard that. But he meants no words 20 00:01:16,640 --> 00:01:21,039 Speaker 2: about it, that this is a debacle dibecca. That's what 21 00:01:21,040 --> 00:01:25,200 Speaker 2: they say, dibaccle for mister mccron. And then we got 22 00:01:25,240 --> 00:01:28,479 Speaker 2: bonus round. Adrian Woldridge sewed up with Bloomberg opinion from 23 00:01:28,520 --> 00:01:34,000 Speaker 2: London and he was mesmerizing on the scale and scope 24 00:01:34,080 --> 00:01:38,080 Speaker 2: of the Tory defeat, the Conservative defeat in the United Kingdom. 25 00:01:38,680 --> 00:01:40,919 Speaker 2: I think one of the great messages here from Adrian 26 00:01:40,959 --> 00:01:44,600 Speaker 2: Waldridge and Leonel Laurant is it does have ramifications for 27 00:01:44,640 --> 00:01:47,520 Speaker 2: the United States and that will play out here is 28 00:01:47,600 --> 00:01:50,760 Speaker 2: we go to our election again in a week's time. 29 00:01:50,800 --> 00:01:53,880 Speaker 2: Our David Gerrow leading our coverage with Joe Matthew and 30 00:01:53,960 --> 00:01:58,120 Speaker 2: Kayley Lines on the debate which looms and suddenly seems 31 00:01:58,120 --> 00:02:04,440 Speaker 2: to be more important suddenly inflation maybe disinflating, But so 32 00:02:04,560 --> 00:02:07,240 Speaker 2: much of it is a view short term of your 33 00:02:07,280 --> 00:02:10,640 Speaker 2: belief in inflation, or is captured by the University of 34 00:02:10,639 --> 00:02:14,200 Speaker 2: Michigan the five and ten year view here Turston Slock 35 00:02:14,639 --> 00:02:16,160 Speaker 2: of Apollo Global Management. 36 00:02:16,200 --> 00:02:19,359 Speaker 1: If you look at Michigan five to tenure inflation long 37 00:02:19,440 --> 00:02:23,400 Speaker 1: term expectations, the median is still very well behaved. So 38 00:02:23,440 --> 00:02:27,040 Speaker 1: the median household still thinks inflation will be three point one, 39 00:02:27,240 --> 00:02:29,360 Speaker 1: which is where it's been for the last several years. 40 00:02:29,520 --> 00:02:31,919 Speaker 1: But if you look at the mean, you will see 41 00:02:31,960 --> 00:02:36,160 Speaker 1: a significant increase in one half of the population expecting 42 00:02:36,240 --> 00:02:39,040 Speaker 1: that inflation is going to be dramatically higher than the 43 00:02:39,120 --> 00:02:41,280 Speaker 1: other half. And if you look at the sub questions 44 00:02:41,280 --> 00:02:43,639 Speaker 1: in the ursity of Michigan, who is it that's expecting 45 00:02:43,800 --> 00:02:46,720 Speaker 1: inflation to be higher? It is generally speaking, the bottom 46 00:02:46,760 --> 00:02:49,880 Speaker 1: thirty three percent of household incomes, meaning low income households, 47 00:02:49,880 --> 00:02:52,880 Speaker 1: to expect much higher inflation than high income households. And 48 00:02:52,919 --> 00:02:55,760 Speaker 1: it's general also people with high school or less education 49 00:02:56,000 --> 00:02:58,600 Speaker 1: that expects inflation to be a lot higher. So you'll 50 00:02:58,600 --> 00:03:01,600 Speaker 1: beginning to see some divergence in inflation expectations. And this 51 00:03:01,680 --> 00:03:04,400 Speaker 1: is opening up a very important debate in the Phillips 52 00:03:04,440 --> 00:03:06,120 Speaker 1: curve that you and I Tom had to talk about 53 00:03:06,120 --> 00:03:08,840 Speaker 1: for years, where if inflation expectations for half of the 54 00:03:08,960 --> 00:03:12,040 Speaker 1: population are very very high, what does that mean for 55 00:03:12,360 --> 00:03:15,359 Speaker 1: when the FIT says that inflation expectations are under control, Yes, 56 00:03:15,400 --> 00:03:17,919 Speaker 1: the media maybe under control, but there's a significant part 57 00:03:17,919 --> 00:03:19,960 Speaker 1: of the population but still worry about inflation. 58 00:03:20,160 --> 00:03:22,760 Speaker 2: I can't say enough about Torston slucks day to day work, 59 00:03:22,800 --> 00:03:25,880 Speaker 2: of course with Deutsche Bank and now at the Apollo 60 00:03:25,960 --> 00:03:29,600 Speaker 2: Global Management. His work on American housing dynamics is just 61 00:03:29,720 --> 00:03:34,720 Speaker 2: world class. Torston Slock of Apollo wonderful to talk to 62 00:03:34,760 --> 00:03:39,280 Speaker 2: Anastasia M. Moroso again. I think it's so important in 63 00:03:39,320 --> 00:03:43,200 Speaker 2: the Wall Street and the financial media grind where people 64 00:03:43,280 --> 00:03:46,040 Speaker 2: become talking heads, and what we try to do at 65 00:03:46,120 --> 00:03:50,440 Speaker 2: surveillance every day is really sort out the talking heads 66 00:03:50,600 --> 00:03:53,440 Speaker 2: and look for substance. One of the ways we do 67 00:03:53,560 --> 00:03:55,440 Speaker 2: that is we look back. And I want to make 68 00:03:55,560 --> 00:03:59,080 Speaker 2: clear here that when we look back, we're not just 69 00:03:59,160 --> 00:04:02,360 Speaker 2: looking for people that got it right. We're just as 70 00:04:02,480 --> 00:04:06,680 Speaker 2: interested in people that got it wrong and why they did. 71 00:04:06,720 --> 00:04:08,440 Speaker 2: You see a number of people that were bears on 72 00:04:08,480 --> 00:04:11,800 Speaker 2: Wall Street lifting up. Now not only are they lifting up, 73 00:04:11,840 --> 00:04:13,480 Speaker 2: but we want to know why they're lifting up to 74 00:04:13,520 --> 00:04:16,400 Speaker 2: a bull market, but we also want to know how 75 00:04:16,440 --> 00:04:19,280 Speaker 2: they got it wrong. Is a bear market? That's really 76 00:04:19,320 --> 00:04:23,120 Speaker 2: one of the fabrics of what we've done for twenty years. 77 00:04:23,200 --> 00:04:28,040 Speaker 2: Anastasia Ameroso is one of those people. There's massive substance here. 78 00:04:28,080 --> 00:04:32,880 Speaker 2: She is absolutely nailed the b in the market. Be 79 00:04:33,080 --> 00:04:37,320 Speaker 2: us domestic and don't be afraid of the big tech. 80 00:04:37,400 --> 00:04:40,680 Speaker 2: Can't say enough about it. We digressed with her as 81 00:04:40,720 --> 00:04:44,360 Speaker 2: she came in. You know, usually we're talking this gossip. 82 00:04:44,480 --> 00:04:47,880 Speaker 2: Forget about it. She's all fired up about AI. Here's 83 00:04:48,000 --> 00:04:52,240 Speaker 2: Anastasia Ameroso of I Capital UNCHET GPT. 84 00:04:52,640 --> 00:04:55,520 Speaker 3: Maybe not a lot of people are actually using this 85 00:04:55,640 --> 00:04:58,200 Speaker 3: across their functions right now, but I think a lot 86 00:04:58,240 --> 00:05:00,560 Speaker 3: of people will in the future. I think what's happening 87 00:05:00,600 --> 00:05:03,240 Speaker 3: right now is the race to invest in artificial intelligence 88 00:05:03,279 --> 00:05:07,800 Speaker 3: by hyperscalers, but also by other companies, you know, across 89 00:05:07,839 --> 00:05:10,880 Speaker 3: different industry verticals. I think there's a grave realization by 90 00:05:10,920 --> 00:05:13,400 Speaker 3: companies if you're not going to focus on investing in 91 00:05:13,440 --> 00:05:16,080 Speaker 3: AI now, you are going to be left behind. So 92 00:05:16,160 --> 00:05:20,280 Speaker 3: why would you continue to hire the same amount of 93 00:05:20,600 --> 00:05:24,000 Speaker 3: you know, workforce when you can automate certain tasks and 94 00:05:24,200 --> 00:05:28,680 Speaker 3: boost your margins. So I think that's a universal sort 95 00:05:28,720 --> 00:05:32,360 Speaker 3: of understanding right now, you know, from corporate development departments, 96 00:05:32,440 --> 00:05:35,240 Speaker 3: and that's what's driving the investment cycle and artificial intelligence. 97 00:05:35,400 --> 00:05:37,719 Speaker 3: That's why I don't think it's a coincidence that the 98 00:05:37,839 --> 00:05:40,800 Speaker 3: likes of Nvidia and Broadcom and you know, actually a 99 00:05:40,800 --> 00:05:43,920 Speaker 3: whole suite of semiconductors are benefiting from the build out 100 00:05:43,920 --> 00:05:47,200 Speaker 3: of the backbone of artificial intelligence. You know, do I 101 00:05:47,240 --> 00:05:49,760 Speaker 3: think the momentum is a little bit stretched at this 102 00:05:49,960 --> 00:05:52,640 Speaker 3: very point, you know, Do I think some exuberants crept 103 00:05:52,760 --> 00:05:56,839 Speaker 3: into a stock like Nvidia. Yes, But at the same time, 104 00:05:57,040 --> 00:05:59,919 Speaker 3: if the data center sales are growing four hundred per 105 00:06:00,040 --> 00:06:03,520 Speaker 3: said plus year over year, that's fundamentals. 106 00:06:03,120 --> 00:06:07,480 Speaker 2: Anstja Amroso of Capital. Is it Thursday, we'll be here 107 00:06:07,560 --> 00:06:11,240 Speaker 2: Friday and odd and strange. Week felt like a Monday today, 108 00:06:11,279 --> 00:06:13,679 Speaker 2: but it is Thursday, and we'll get you to Friday 109 00:06:14,400 --> 00:06:18,080 Speaker 2: as well. Don't forget on YouTube search and subscribe to 110 00:06:18,080 --> 00:06:22,400 Speaker 2: Bloomberg Podcasts, Apple car Play on Android play as well, 111 00:06:22,440 --> 00:06:33,240 Speaker 2: and on Apple podcast single best Idea