1 00:00:01,360 --> 00:00:05,720 Speaker 1: This is Bloomberg Business Wait inside from the reporters and 2 00:00:05,880 --> 00:00:09,440 Speaker 1: editors who bring you America's most trusted business magazine, plus 3 00:00:09,520 --> 00:00:13,680 Speaker 1: global business, finance and tech news. The Bloomberg Business Week 4 00:00:13,720 --> 00:00:18,960 Speaker 1: Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio 5 00:00:20,280 --> 00:00:20,759 Speaker 1: no one else. 6 00:00:20,800 --> 00:00:25,560 Speaker 2: I'm very enthusiastic about is the Audi what we called 7 00:00:25,600 --> 00:00:28,760 Speaker 2: in Germany the or Quattro. So that was like the 8 00:00:28,800 --> 00:00:32,960 Speaker 2: most recognizable Audi rally car from my childhood. 9 00:00:33,120 --> 00:00:33,560 Speaker 3: My dad. 10 00:00:33,600 --> 00:00:35,960 Speaker 2: Actually I was lucky enough that my dad was able 11 00:00:36,000 --> 00:00:37,960 Speaker 2: to go over to Germany and pick up an outy 12 00:00:38,040 --> 00:00:42,120 Speaker 2: five thousand back in I think the early eighties and 13 00:00:42,120 --> 00:00:44,640 Speaker 2: bring it back with him on the Queen Elizabeth two. 14 00:00:44,920 --> 00:00:47,159 Speaker 2: You can't do that anymore. This is personal for you, 15 00:00:47,360 --> 00:00:49,479 Speaker 2: so yeah, I've been a fan of the brand. In fact, 16 00:00:49,520 --> 00:00:53,520 Speaker 2: the first car I ever bought was an Audi A four. 17 00:00:53,640 --> 00:00:56,400 Speaker 2: I got the two point five TDI of vant. I 18 00:00:56,440 --> 00:01:00,280 Speaker 2: picked mine up as well in I feel like that 19 00:01:00,400 --> 00:01:04,400 Speaker 2: was near Hartzoganaurrak, where I picked it up from the factory, 20 00:01:04,440 --> 00:01:06,520 Speaker 2: so that was really cool. I want to welcome in 21 00:01:06,600 --> 00:01:09,319 Speaker 2: right now. Brian Stockton. He is the senior director of 22 00:01:09,360 --> 00:01:12,920 Speaker 2: Technical Services and Training Training for Audi and he joins 23 00:01:13,040 --> 00:01:17,319 Speaker 2: us on Zoom from Auburn Hills, Michigan. Brian, I have 24 00:01:17,959 --> 00:01:20,840 Speaker 2: a long family history related to this brand, so I'm 25 00:01:20,840 --> 00:01:23,640 Speaker 2: excited to talk to you. And I've been working on 26 00:01:23,720 --> 00:01:27,039 Speaker 2: these cars for for for decades, but only on the 27 00:01:27,080 --> 00:01:29,760 Speaker 2: internal combustion engines. And what we're going to talk to 28 00:01:29,760 --> 00:01:32,120 Speaker 2: you about today is the training that people will need 29 00:01:32,160 --> 00:01:34,840 Speaker 2: for the EVS. You know, bringing in a whole new 30 00:01:34,880 --> 00:01:38,280 Speaker 2: generation of cars. How much harder are they to work 31 00:01:38,319 --> 00:01:40,160 Speaker 2: on than the gas engine cars? 32 00:01:41,160 --> 00:01:41,360 Speaker 4: Yeah? 33 00:01:41,440 --> 00:01:43,680 Speaker 5: Good, good, And I'm glad to hear that you're happy 34 00:01:43,760 --> 00:01:46,600 Speaker 5: with outing. You've been a long time Audi brand enthusiast. 35 00:01:47,960 --> 00:01:49,720 Speaker 5: Let me kind of start off with talking about our program, 36 00:01:49,720 --> 00:01:54,080 Speaker 5: our AEP program, our Audi Educational Partnership program, and to 37 00:01:54,120 --> 00:01:58,000 Speaker 5: your point, evs, although new to the overall market, not 38 00:01:58,040 --> 00:02:01,120 Speaker 5: necessarily so new to Audi launched our first one in 39 00:02:01,160 --> 00:02:04,920 Speaker 5: twenty eighteen, and today we have five current models that 40 00:02:04,960 --> 00:02:05,960 Speaker 5: are out there available to. 41 00:02:05,880 --> 00:02:08,760 Speaker 4: Our customer base, so it's not new for us. We 42 00:02:08,800 --> 00:02:10,279 Speaker 4: had it out there for a while. 43 00:02:10,240 --> 00:02:13,160 Speaker 5: But we're kind of fine tuning how we develop our 44 00:02:13,200 --> 00:02:16,240 Speaker 5: workforce to work on those to kind of to get 45 00:02:16,240 --> 00:02:18,800 Speaker 5: to your point about what's different about it. So we 46 00:02:18,880 --> 00:02:23,320 Speaker 5: built this program called the ep AUDI Educational Partnership Program. 47 00:02:23,639 --> 00:02:26,880 Speaker 5: It's really a way to transform our technician workforce so 48 00:02:26,919 --> 00:02:29,480 Speaker 5: that they can work on these high voltage vehicles along 49 00:02:29,560 --> 00:02:33,760 Speaker 5: with the traditional ice engines, to be expert level certified 50 00:02:34,240 --> 00:02:36,639 Speaker 5: so they can really address any customer issues for our 51 00:02:36,639 --> 00:02:40,919 Speaker 5: new vehicles today and moving forward, kind of jump a 52 00:02:40,919 --> 00:02:42,680 Speaker 5: little more into the program if I could. 53 00:02:42,600 --> 00:02:47,680 Speaker 2: Well, Brian, what I'm wondering is how much do you 54 00:02:47,760 --> 00:02:50,720 Speaker 2: need to learn to work on the evs Because with 55 00:02:50,760 --> 00:02:53,560 Speaker 2: the gas engines and the diesels that AUDI has made, 56 00:02:54,680 --> 00:03:00,400 Speaker 2: you know, they were complicated motors, and I mean, you 57 00:03:00,440 --> 00:03:03,519 Speaker 2: know it took time, but over a decade we've we've 58 00:03:03,520 --> 00:03:06,320 Speaker 2: figured out how to do it. With the evs. I 59 00:03:06,360 --> 00:03:08,440 Speaker 2: feel like you need fewer people to put them together. 60 00:03:08,600 --> 00:03:11,519 Speaker 2: There are a lot fewer moving parts. It just seems 61 00:03:11,520 --> 00:03:13,799 Speaker 2: like it would be much easier to service them. 62 00:03:14,120 --> 00:03:15,040 Speaker 4: Yeah, good points. 63 00:03:15,120 --> 00:03:18,359 Speaker 5: You're right in terms of the mechanicals, the individual componentry 64 00:03:19,480 --> 00:03:20,800 Speaker 5: less componentory in an. 65 00:03:20,720 --> 00:03:22,760 Speaker 4: EV vehicle by a long shot. And you know, in 66 00:03:22,880 --> 00:03:25,440 Speaker 4: terms of you know, some of the vehicles don't have transmissions. 67 00:03:25,520 --> 00:03:27,960 Speaker 5: Some of our higher end vehicles still have transmissions that 68 00:03:28,000 --> 00:03:32,240 Speaker 5: are evs like our etron GT. However, the main difference 69 00:03:32,639 --> 00:03:36,200 Speaker 5: where you have less componentry, you have more complexity and 70 00:03:36,280 --> 00:03:40,400 Speaker 5: the logic and the computer controlled systems, so the diagnostics, 71 00:03:40,400 --> 00:03:42,680 Speaker 5: the analytics and all those things are. 72 00:03:42,640 --> 00:03:43,600 Speaker 4: Much more complex. 73 00:03:43,960 --> 00:03:47,279 Speaker 5: So where you ease up on the hardware, the complexity 74 00:03:47,400 --> 00:03:49,200 Speaker 5: is increased with these types of vehicles. 75 00:03:50,480 --> 00:03:53,120 Speaker 6: Okay, So I am going to out myself as kind 76 00:03:53,160 --> 00:03:57,000 Speaker 6: of the loser idiot of this conversation because listen, I've 77 00:03:57,080 --> 00:03:59,760 Speaker 6: just grown up without a lot of cars in my life. 78 00:04:00,160 --> 00:04:02,880 Speaker 6: I'm a New York City girl. As of eight years ago. 79 00:04:03,000 --> 00:04:04,760 Speaker 6: Before that, I was in college, I didn't have a car. 80 00:04:04,840 --> 00:04:07,200 Speaker 6: So I'm just I'm not a big cars gal. But 81 00:04:07,320 --> 00:04:09,080 Speaker 6: I do know that if I got one today, I 82 00:04:09,080 --> 00:04:13,520 Speaker 6: would have to get an EV to be considered cool. So, Brian, 83 00:04:14,640 --> 00:04:18,440 Speaker 6: you know this space incredibly well. When it comes to 84 00:04:18,839 --> 00:04:22,480 Speaker 6: younger people buying evs and the increase in demand that 85 00:04:22,520 --> 00:04:25,159 Speaker 6: we're seeing for EV's in general. How much of a 86 00:04:25,200 --> 00:04:29,360 Speaker 6: read through are you seeing from the overall transition into 87 00:04:29,400 --> 00:04:34,120 Speaker 6: evs for the need for skilled technicians to work on 88 00:04:34,160 --> 00:04:37,680 Speaker 6: those evs, Like, how direct is the correlation between the two. 89 00:04:38,480 --> 00:04:41,760 Speaker 5: We started to see the correlation back in twenty nineteen 90 00:04:41,800 --> 00:04:45,080 Speaker 5: We launched our first full EV in twenty eighteen, and 91 00:04:45,120 --> 00:04:47,320 Speaker 5: I think just from the standpoint of new technology and 92 00:04:47,360 --> 00:04:50,840 Speaker 5: the complexity and the diagnostics, we had to figure out 93 00:04:50,839 --> 00:04:53,400 Speaker 5: a way to transform our workforce. So we came up 94 00:04:53,440 --> 00:04:57,960 Speaker 5: with this thing called the AUDI Educational Partnership Program, which 95 00:04:58,000 --> 00:04:59,680 Speaker 5: is kind of what you're kind of leaning into a 96 00:04:59,680 --> 00:05:01,600 Speaker 5: little bit, if I could just take a moment and 97 00:05:01,640 --> 00:05:04,679 Speaker 5: give you a few key points on it. This program 98 00:05:04,720 --> 00:05:06,440 Speaker 5: is kind of unique in many ways and the fact 99 00:05:06,480 --> 00:05:11,960 Speaker 5: that it really takes and connects the school. So high schools, 100 00:05:12,160 --> 00:05:16,040 Speaker 5: secondary schools that have accredited programs, we reach out to them. 101 00:05:16,080 --> 00:05:18,400 Speaker 5: We give them access to all of our online training, 102 00:05:18,440 --> 00:05:21,840 Speaker 5: including all the high voltage. Then we reach out we 103 00:05:21,880 --> 00:05:24,719 Speaker 5: connect the students to our dealers, to our dealer network 104 00:05:24,960 --> 00:05:29,400 Speaker 5: so locally. So a student that wants to proceed in 105 00:05:29,440 --> 00:05:33,320 Speaker 5: this AAP program, they go to the school's online assessment. 106 00:05:33,960 --> 00:05:37,279 Speaker 5: Once they pass, then they're accepted into the program. We 107 00:05:37,320 --> 00:05:40,480 Speaker 5: connect them to a dealership and then they start what 108 00:05:40,520 --> 00:05:41,920 Speaker 5: we call the eighteen months. 109 00:05:42,360 --> 00:05:44,800 Speaker 4: In this eighteen month program, they get put into a. 110 00:05:44,760 --> 00:05:46,960 Speaker 5: Class, they stay with the same group of people for 111 00:05:47,000 --> 00:05:50,480 Speaker 5: eighteen months. We travel them around the country to different 112 00:05:50,720 --> 00:05:54,440 Speaker 5: AUDI dedicated training centers and they're going to class in 113 00:05:54,560 --> 00:05:59,440 Speaker 5: our Audi corporate training centers for technicians not through secondary schools, 114 00:05:59,440 --> 00:06:02,600 Speaker 5: and we teach them the finer points on diagnostics, all 115 00:06:02,640 --> 00:06:05,000 Speaker 5: the new technologies, all those things they need to know, 116 00:06:05,080 --> 00:06:08,600 Speaker 5: and we bring them up to an expert level technicians. 117 00:06:08,640 --> 00:06:11,560 Speaker 5: So we do in about eighteen months, where it takes 118 00:06:11,279 --> 00:06:15,000 Speaker 5: most technicians over five years to achieve. So to your point, 119 00:06:15,520 --> 00:06:18,120 Speaker 5: it takes some diagnostic thought. It takes a lot of 120 00:06:18,160 --> 00:06:20,840 Speaker 5: background and a lot of basics to be able to 121 00:06:20,880 --> 00:06:23,120 Speaker 5: get to that point to understand those systems and how 122 00:06:23,160 --> 00:06:23,960 Speaker 5: to diagnose them. 123 00:06:24,120 --> 00:06:26,599 Speaker 2: All right, So we all know, Brian, there's been a 124 00:06:26,640 --> 00:06:31,039 Speaker 2: real labor shortage in the United States. I think, especially 125 00:06:31,080 --> 00:06:33,880 Speaker 2: for skilled labor like this, it's got to be hard 126 00:06:33,880 --> 00:06:38,359 Speaker 2: to find. So this program is a great way to 127 00:06:38,480 --> 00:06:42,000 Speaker 2: kind of bring the kids up through school and into 128 00:06:42,400 --> 00:06:46,200 Speaker 2: your service base. Is that part of what you're doing here, 129 00:06:46,240 --> 00:06:48,800 Speaker 2: trying to recruit the smartest kids in America? 130 00:06:49,400 --> 00:06:51,719 Speaker 5: That's exactly what we're doing. So we lay things out 131 00:06:51,760 --> 00:06:54,400 Speaker 5: with these schools. We give them access to our content 132 00:06:54,440 --> 00:06:57,560 Speaker 5: free of charge for the students. These students that rise 133 00:06:57,600 --> 00:06:59,599 Speaker 5: to the top and take the test, and they become 134 00:06:59,640 --> 00:07:02,400 Speaker 5: accepted it into the program, then they can start their 135 00:07:02,440 --> 00:07:06,320 Speaker 5: eighteen month journey once we connect them to a dealership. So, 136 00:07:06,480 --> 00:07:09,120 Speaker 5: just like you said, it's a really the best possible 137 00:07:09,160 --> 00:07:12,200 Speaker 5: way to find the right people for the dealers. I 138 00:07:12,240 --> 00:07:15,480 Speaker 5: know people talk about it's difficult to find technicians. What 139 00:07:15,520 --> 00:07:18,680 Speaker 5: we have found as just going to secondary schools is 140 00:07:18,680 --> 00:07:20,520 Speaker 5: not enough. You've got to go into the high schools. 141 00:07:20,680 --> 00:07:23,640 Speaker 5: There are some really exceptional high school programs out there, 142 00:07:23,960 --> 00:07:25,720 Speaker 5: and some of these students that come out of high 143 00:07:25,720 --> 00:07:29,400 Speaker 5: school with a good automotive accredited program, they are very 144 00:07:29,520 --> 00:07:29,960 Speaker 5: very good. 145 00:07:31,120 --> 00:07:34,360 Speaker 2: How much can kids, by the way, expect to make 146 00:07:34,440 --> 00:07:37,400 Speaker 2: if they want to go for a career and mechanical 147 00:07:37,440 --> 00:07:39,360 Speaker 2: service like this that they want to be working on 148 00:07:39,600 --> 00:07:43,520 Speaker 2: and around cars. You know, what's a master technician to 149 00:07:43,800 --> 00:07:44,640 Speaker 2: get these days? 150 00:07:45,400 --> 00:07:46,880 Speaker 4: You know, it varies all over the country. 151 00:07:46,880 --> 00:07:49,560 Speaker 5: If we were talking in California, you know, it wouldn't 152 00:07:49,600 --> 00:07:51,680 Speaker 5: be unusual for somebody to make you know, in that 153 00:07:51,720 --> 00:07:54,800 Speaker 5: one hundred thousand dollars range, But it varies very much 154 00:07:54,840 --> 00:07:57,360 Speaker 5: by the dealer body and also by the location across 155 00:07:57,360 --> 00:07:57,880 Speaker 5: the country. 156 00:07:59,080 --> 00:08:02,760 Speaker 6: Is this a job that is safe from AI? And 157 00:08:02,840 --> 00:08:05,119 Speaker 6: our final kind of forty five seconds with you here. 158 00:08:06,240 --> 00:08:12,040 Speaker 5: Yeah, so very much, save from anything relevant to automated diagnosis, 159 00:08:12,080 --> 00:08:14,320 Speaker 5: we need technicians that know what they're doing and how 160 00:08:14,320 --> 00:08:16,560 Speaker 5: to look at what's going on with the vehicle and 161 00:08:16,680 --> 00:08:19,760 Speaker 5: interact with the service consultants to get to fix it 162 00:08:19,840 --> 00:08:22,320 Speaker 5: right the first time. This program, again, if I kind 163 00:08:22,320 --> 00:08:24,480 Speaker 5: of lean into it just a little bit quickly, it's 164 00:08:24,560 --> 00:08:27,720 Speaker 5: a dedicated training program that's just the AUDI content that 165 00:08:27,760 --> 00:08:31,440 Speaker 5: we develop for our dealers, so it's very streamlined. It's 166 00:08:31,440 --> 00:08:35,000 Speaker 5: got a pretty big component of culture because they stay 167 00:08:35,040 --> 00:08:37,880 Speaker 5: together for eighteen months. We really build a brand culture 168 00:08:37,920 --> 00:08:39,560 Speaker 5: with these techs, so they want to do the right 169 00:08:39,600 --> 00:08:43,360 Speaker 5: thing with our customers. So it's always about customer first, 170 00:08:43,920 --> 00:08:46,320 Speaker 5: and then it's also on the job training, so they're 171 00:08:46,360 --> 00:08:49,240 Speaker 5: in school, they go off of these eight weeks, and 172 00:08:49,280 --> 00:08:51,400 Speaker 5: then what you know, during this time that they're in 173 00:08:51,480 --> 00:08:55,080 Speaker 5: the dealers, they're honing those skills, working on assessments, doing 174 00:08:55,120 --> 00:08:56,360 Speaker 5: online training content. 175 00:08:56,800 --> 00:08:59,840 Speaker 4: So it's really very much a win win win from all. 176 00:08:59,720 --> 00:09:02,199 Speaker 5: Parts, making sure that the student is a big win 177 00:09:02,240 --> 00:09:04,520 Speaker 5: from education, the dealer gets a big win, and then 178 00:09:04,520 --> 00:09:07,080 Speaker 5: AUDI is a corporate team, we get a big win 179 00:09:07,160 --> 00:09:08,839 Speaker 5: for the outcome for our customers. 180 00:09:09,200 --> 00:09:12,000 Speaker 2: Brian, thanks so much for joining us. Real pleasure talking 181 00:09:12,040 --> 00:09:15,160 Speaker 2: to you, obviously. I love to talk about cars and 182 00:09:15,280 --> 00:09:18,400 Speaker 2: love to talk about Audi's especially Brian Stockton, a senior 183 00:09:18,440 --> 00:09:21,720 Speaker 2: director of Technical service and Training at Audi, joining us 184 00:09:21,720 --> 00:09:23,680 Speaker 2: at Auburn Hills, Michigan. We've got to get Maddie into 185 00:09:23,720 --> 00:09:26,079 Speaker 2: a Q four E tron soon. 186 00:09:26,320 --> 00:09:27,199 Speaker 6: That sounds cool. 187 00:09:28,200 --> 00:09:31,760 Speaker 1: You're listening to the Bloomberg Business Week podcast. Catch us 188 00:09:31,800 --> 00:09:35,160 Speaker 1: live weekday afternoons from three to six Eastern Listen on 189 00:09:35,200 --> 00:09:39,240 Speaker 1: Bloomberg dot com, the iHeartRadio app and the Bloomberg Business app, 190 00:09:39,520 --> 00:09:41,240 Speaker 1: or want us live on YouTube. 191 00:09:42,720 --> 00:09:45,880 Speaker 6: We are going to get to that big neg meeting tomorrow, 192 00:09:45,960 --> 00:09:48,480 Speaker 6: the most important one since the last. As we like 193 00:09:48,559 --> 00:09:51,720 Speaker 6: to say, the market's already pricing in at least a 194 00:09:51,800 --> 00:09:54,599 Speaker 6: skip no movement in terms of rate hikes, But the 195 00:09:54,640 --> 00:09:56,560 Speaker 6: big question starts to be what's going to happen at 196 00:09:56,559 --> 00:09:59,480 Speaker 6: the meeting after that? So here to discuss, We've got 197 00:09:59,480 --> 00:10:02,960 Speaker 6: doctor Stephen Steve Skanky with us. He's a chief economic 198 00:10:03,040 --> 00:10:06,199 Speaker 6: advisor at keel Point. He's also the former US Treasury 199 00:10:06,200 --> 00:10:09,760 Speaker 6: and White House National Security Council staff member, and he 200 00:10:09,840 --> 00:10:12,840 Speaker 6: joins us on Zoom from Alabama. Doctor Thank you so 201 00:10:12,920 --> 00:10:15,520 Speaker 6: much for being here with us. Talk to me about 202 00:10:15,559 --> 00:10:19,160 Speaker 6: your anticipation, not just for this FED meeting tomorrow, for 203 00:10:19,240 --> 00:10:21,600 Speaker 6: the one after that. What do you think the Fed's 204 00:10:22,200 --> 00:10:23,840 Speaker 6: longer term moves are going to look like? 205 00:10:24,960 --> 00:10:28,400 Speaker 7: Well, thank you Madison's it's great to be with you, 206 00:10:28,480 --> 00:10:31,560 Speaker 7: and you're absolutely right. Tomorrow they're going to be there's 207 00:10:31,600 --> 00:10:33,720 Speaker 7: going to be a skip. But what we are going 208 00:10:33,720 --> 00:10:36,840 Speaker 7: to see tomorrow is in their new Summary of Economic Projections. 209 00:10:36,880 --> 00:10:38,280 Speaker 3: It's updated and. 210 00:10:38,200 --> 00:10:40,079 Speaker 7: They're to get they're going to give us a hint 211 00:10:40,160 --> 00:10:44,559 Speaker 7: of how well they think their measures are working against inflation, 212 00:10:45,320 --> 00:10:47,719 Speaker 7: uh and where they see interest rates being at the 213 00:10:47,800 --> 00:10:49,520 Speaker 7: end of the year and into the first half of 214 00:10:50,400 --> 00:10:52,640 Speaker 7: next year. And then of course there's going to be 215 00:10:52,720 --> 00:10:55,640 Speaker 7: their statement, which I think is going to be heavily 216 00:10:55,679 --> 00:10:59,280 Speaker 7: on the hawkish side as part of their effort to 217 00:10:59,320 --> 00:11:03,040 Speaker 7: sort of get their last whip a forward guidance in. 218 00:11:04,000 --> 00:11:05,560 Speaker 3: And then we're going to wait and see what. 219 00:11:05,480 --> 00:11:10,960 Speaker 7: Happens to the inflation numbers, the employment numbers for June 220 00:11:11,040 --> 00:11:14,200 Speaker 7: that come out in early July. 221 00:11:15,840 --> 00:11:17,679 Speaker 3: Most people expect another. 222 00:11:17,480 --> 00:11:20,440 Speaker 7: Rate increase in July, and that's likely to happen unless 223 00:11:20,440 --> 00:11:21,440 Speaker 7: we get a. 224 00:11:21,360 --> 00:11:23,440 Speaker 3: Really big surprise. 225 00:11:24,360 --> 00:11:29,040 Speaker 7: Of a rapid slowdown in inflation in June that gets 226 00:11:29,080 --> 00:11:30,760 Speaker 7: picked up and they're reporting in July. 227 00:11:31,120 --> 00:11:35,520 Speaker 2: Can I ask Steve about the importance of employment, the 228 00:11:35,559 --> 00:11:40,320 Speaker 2: employment numbers and wages. I would just out of sheer 229 00:11:40,800 --> 00:11:44,960 Speaker 2: common sense figure that if more people have jobs and 230 00:11:45,000 --> 00:11:48,040 Speaker 2: if more people are getting paid more, that's going to 231 00:11:48,080 --> 00:11:50,880 Speaker 2: put upward pressure on inflation, just because they can afford 232 00:11:50,880 --> 00:11:54,480 Speaker 2: to buy stuff, and because the manufacturers are going to 233 00:11:54,559 --> 00:11:57,080 Speaker 2: have higher costs and they're going to need to make margin. 234 00:11:57,520 --> 00:12:02,359 Speaker 2: But there's been so much research out suggesting that unemployment 235 00:12:02,480 --> 00:12:05,760 Speaker 2: has no direct connection and even wages have no direct 236 00:12:06,000 --> 00:12:09,240 Speaker 2: connection to inflation, that I wonder how much the FED 237 00:12:09,320 --> 00:12:11,000 Speaker 2: is actually focused on those things. 238 00:12:12,360 --> 00:12:13,920 Speaker 3: Well, I think they do pay attention to it. 239 00:12:13,960 --> 00:12:18,880 Speaker 7: And you know what are their favorite sub indsease is 240 00:12:19,000 --> 00:12:24,120 Speaker 7: non housing CPI core services, which has fall into a 241 00:12:24,160 --> 00:12:27,440 Speaker 7: twelve month low four and a half percent from five 242 00:12:27,480 --> 00:12:30,800 Speaker 7: point one percent, And that really is a sign that 243 00:12:33,679 --> 00:12:38,360 Speaker 7: slowing wage growth is starting to show up in some 244 00:12:38,520 --> 00:12:41,679 Speaker 7: of the data. So they do care about that. I mean, 245 00:12:41,679 --> 00:12:44,640 Speaker 7: it's not a principal driver, but it certainly has had 246 00:12:44,679 --> 00:12:48,319 Speaker 7: a big impact in that part of the data that 247 00:12:49,679 --> 00:12:51,480 Speaker 7: we understand they're paid a lot of attention to. 248 00:12:52,920 --> 00:12:55,840 Speaker 6: But wasn't there a little bit of a upside surprise 249 00:12:55,920 --> 00:12:59,000 Speaker 6: in terms of the estimates to supercore today? Right? 250 00:13:00,880 --> 00:13:01,120 Speaker 8: Yes? 251 00:13:01,240 --> 00:13:06,040 Speaker 7: And what you know, there was a big surprise and 252 00:13:06,280 --> 00:13:09,760 Speaker 7: used cars right again, and that was I mean that 253 00:13:09,920 --> 00:13:15,559 Speaker 7: was a four point four month over a month increased 254 00:13:15,600 --> 00:13:19,200 Speaker 7: and used vehicle prices, and we also had a little 255 00:13:19,200 --> 00:13:22,840 Speaker 7: bit higher rate of rent and owner equivalent rent that 256 00:13:23,080 --> 00:13:26,480 Speaker 7: was like a half percent month over a month. But 257 00:13:26,720 --> 00:13:31,320 Speaker 7: those those should improve and that's where that's where we're 258 00:13:31,360 --> 00:13:34,400 Speaker 7: really have an idea as to what the FED can 259 00:13:34,480 --> 00:13:38,240 Speaker 7: do when we see those numbers come out in the 260 00:13:39,440 --> 00:13:43,160 Speaker 7: in the numbers in July, because if if used cars 261 00:13:43,200 --> 00:13:46,400 Speaker 7: come back as it seems that they have in terms 262 00:13:46,400 --> 00:13:49,520 Speaker 7: of pricing and and and same on rent and owner 263 00:13:49,520 --> 00:13:54,079 Speaker 7: equivalent rent, which is about thirty five percent of the CPI, 264 00:13:55,760 --> 00:13:57,719 Speaker 7: that'll that'll allow. 265 00:13:57,520 --> 00:14:01,559 Speaker 3: The FED even not to do another increase in July. 266 00:14:03,120 --> 00:14:07,600 Speaker 7: It's very much dated driven at this point, and that 267 00:14:07,640 --> 00:14:09,960 Speaker 7: would that would make it possible to sort of push 268 00:14:10,080 --> 00:14:13,080 Speaker 7: back on the Hawks who very much would like to 269 00:14:13,120 --> 00:14:16,920 Speaker 7: increase both at this meeting as well as the July meeting. 270 00:14:17,480 --> 00:14:21,440 Speaker 2: Steve, I wonder about the comparisons that have been made 271 00:14:21,520 --> 00:14:25,080 Speaker 2: to Jerome Powell and Arthur Burns, or to Jerome Powell, 272 00:14:25,120 --> 00:14:28,240 Speaker 2: and as I think he'd prefer, Paul Vulker. You were 273 00:14:28,280 --> 00:14:32,280 Speaker 2: advising the White House during those regimes, right, you were 274 00:14:32,280 --> 00:14:36,440 Speaker 2: advising the president during those times. Do you see parallels, 275 00:14:36,760 --> 00:14:40,080 Speaker 2: because you know, a lot of people are pointing out 276 00:14:40,160 --> 00:14:43,320 Speaker 2: that Jerome Powell doesn't want to let his guard down 277 00:14:43,360 --> 00:14:47,040 Speaker 2: too soon the way Burns did, Otherwise inflation will come 278 00:14:47,120 --> 00:14:47,880 Speaker 2: roaring back. 279 00:14:49,720 --> 00:14:53,480 Speaker 7: Yeah, I think that, you know, and it's interesting to 280 00:14:53,840 --> 00:14:58,120 Speaker 7: look at that as a comparison. Matt Arthur Burns was 281 00:14:59,200 --> 00:15:04,640 Speaker 7: known for for believing almost in the righteousness of suffering 282 00:15:05,360 --> 00:15:10,040 Speaker 7: and was as nice as guy as he was, was 283 00:15:10,160 --> 00:15:17,080 Speaker 7: pretty tough on the money policy and squeezing out inflation. 284 00:15:17,520 --> 00:15:19,960 Speaker 7: I mean, he had a big job because YUS has 285 00:15:20,000 --> 00:15:22,280 Speaker 7: gone off the gold standard, we let the dollar flow, 286 00:15:22,480 --> 00:15:29,960 Speaker 7: we had the enter energy price and the energy embargos 287 00:15:30,120 --> 00:15:33,640 Speaker 7: and the big jump in oil prices, and so he 288 00:15:33,800 --> 00:15:36,560 Speaker 7: was determined that that wasn't gonna that wasn't going to 289 00:15:36,680 --> 00:15:40,600 Speaker 7: ruin the economy, and ultimately he was unable to to 290 00:15:40,960 --> 00:15:44,800 Speaker 7: sort of keep it out. Jerome Powell doesn't want to 291 00:15:44,800 --> 00:15:49,840 Speaker 7: seem soft on inflation, but it's hard to characterize him 292 00:15:49,880 --> 00:15:54,920 Speaker 7: as a hawk. He cares very much about the employment 293 00:15:55,000 --> 00:16:02,440 Speaker 7: picture and it being broadly spread among minority and disadvantage 294 00:16:02,480 --> 00:16:05,440 Speaker 7: business groups. If you look back to some of the 295 00:16:05,480 --> 00:16:12,680 Speaker 7: things that he said in twenty nineteen, he was joyful 296 00:16:13,120 --> 00:16:18,800 Speaker 7: and sensing accomplishment in seeing a lot of those wage 297 00:16:18,800 --> 00:16:22,200 Speaker 7: and employment benefits spread. He'd like to see that again. 298 00:16:22,320 --> 00:16:25,560 Speaker 7: He knows that that's not the case right now, and 299 00:16:25,640 --> 00:16:28,520 Speaker 7: he'd like that to happen. But he can't appear soft 300 00:16:28,520 --> 00:16:29,160 Speaker 7: on inflation. 301 00:16:29,560 --> 00:16:33,120 Speaker 6: Final twenty seconds here can the Fed stop hiking if 302 00:16:33,160 --> 00:16:36,520 Speaker 6: we don't see an increase in jobless claims or see 303 00:16:36,520 --> 00:16:40,320 Speaker 6: a change to the unemployment picture. Just about twenty seconds. 304 00:16:40,440 --> 00:16:45,560 Speaker 7: If they don't see a change in jobless claims or inflation, 305 00:16:46,000 --> 00:16:48,200 Speaker 7: then they can't stop hiking. We have to have at 306 00:16:48,280 --> 00:16:51,240 Speaker 7: least one more in July. It would be hard to 307 00:16:51,240 --> 00:16:54,920 Speaker 7: imagine that we wouldn't see movement and inflation after that, 308 00:16:55,680 --> 00:16:57,840 Speaker 7: just given some of the other things that they've done. 309 00:16:58,440 --> 00:17:00,360 Speaker 2: All right, see great having on the program. I really 310 00:17:00,400 --> 00:17:04,960 Speaker 2: appreciate your insight and experienced. Steve Skanky there, chief economic 311 00:17:05,000 --> 00:17:07,560 Speaker 2: advisor at Keel Point, And as we said, He was 312 00:17:07,600 --> 00:17:10,919 Speaker 2: a US Treasury and White House National Security Council staff 313 00:17:10,960 --> 00:17:12,520 Speaker 2: member before that. 314 00:17:13,000 --> 00:17:14,480 Speaker 3: This is Bloomberg. 315 00:17:18,200 --> 00:17:21,800 Speaker 1: You're listening to the Bloomberg Business Week podcast. Catch us 316 00:17:21,840 --> 00:17:25,840 Speaker 1: live weekday afternoons from three to six Easter on Bloomberg Radio, 317 00:17:26,040 --> 00:17:29,320 Speaker 1: the Bloomberg Business app, and YouTube. You can also listen 318 00:17:29,440 --> 00:17:32,520 Speaker 1: live on Amazon Alexa from our flagship New York station 319 00:17:32,960 --> 00:17:35,760 Speaker 1: Just say Alexa playing Bloomberg eleven thirty. 320 00:17:41,040 --> 00:17:43,800 Speaker 3: I'm kicking what they're given because I'm working for them. 321 00:17:48,520 --> 00:17:51,879 Speaker 2: All right, we are, We've arrived at that point in 322 00:17:51,960 --> 00:17:54,080 Speaker 2: my day. I have say it's my favorite point of 323 00:17:54,200 --> 00:17:57,160 Speaker 2: the show. And we talk about one story from the 324 00:17:57,880 --> 00:18:01,679 Speaker 2: Business business Week mag magazine. This is going to be 325 00:18:01,720 --> 00:18:06,120 Speaker 2: the forthcoming issue of BusinessWeek magazine, and we typically talk 326 00:18:06,200 --> 00:18:08,320 Speaker 2: to Joel Weber, the editor in chief, as well as 327 00:18:08,320 --> 00:18:10,520 Speaker 2: the author of the story. We're fortunate enough to have 328 00:18:10,800 --> 00:18:15,480 Speaker 2: Ellen Hewitt with us right now. She wrote the layoffs 329 00:18:15,480 --> 00:18:19,159 Speaker 2: and AI are changing Tech's once invincible job market story, 330 00:18:19,200 --> 00:18:22,080 Speaker 2: and Ellen, I thought it was a fantastic job of 331 00:18:22,520 --> 00:18:26,680 Speaker 2: reporting and a little bit of a bummer, right because 332 00:18:27,200 --> 00:18:30,320 Speaker 2: I had thought, as well as probably many of the 333 00:18:30,400 --> 00:18:33,360 Speaker 2: kids graduating college today, that if you learn to code 334 00:18:33,440 --> 00:18:36,760 Speaker 2: and you're like halfway good at it, then your set 335 00:18:36,920 --> 00:18:39,639 Speaker 2: for a sweet job in Silicon Valley for like the 336 00:18:39,640 --> 00:18:42,000 Speaker 2: rest of your life. And it now seems that's no 337 00:18:42,080 --> 00:18:42,879 Speaker 2: longer the case. 338 00:18:44,200 --> 00:18:46,240 Speaker 9: Yeah, I mean, this is kind of the big mood 339 00:18:46,320 --> 00:18:49,920 Speaker 9: shift in Silicon Valley, which is the learning to code 340 00:18:50,000 --> 00:18:53,840 Speaker 9: is not a guarantee of amazing, forever employment anymore. To 341 00:18:53,880 --> 00:18:55,679 Speaker 9: be clear, there's still a lot of people who want 342 00:18:55,680 --> 00:18:59,440 Speaker 9: to hire software engineers, especially firms that are outside of tech, 343 00:18:59,600 --> 00:19:02,520 Speaker 9: like in health, healthcare, and finance. They're definitely looking for coders. 344 00:19:02,560 --> 00:19:05,960 Speaker 9: But there is this noticeable shift that people are experiencing, 345 00:19:05,960 --> 00:19:09,680 Speaker 9: which is this once infinite fountain of high paying jobs 346 00:19:09,920 --> 00:19:14,240 Speaker 9: where companies were just always always hiring, that's not happening anymore. 347 00:19:15,480 --> 00:19:17,920 Speaker 2: One thing I saw is that there have been two 348 00:19:18,040 --> 00:19:21,199 Speaker 2: hundred thousand layoffs in tech this year. You found a 349 00:19:21,240 --> 00:19:25,720 Speaker 2: website that essentially aggregates all of the layoffs, but eighty 350 00:19:25,800 --> 00:19:29,320 Speaker 2: thousand of those happened in January. So what I'm wondering is, 351 00:19:30,160 --> 00:19:33,040 Speaker 2: are the layoffs kind of slowing down? Does it look 352 00:19:33,160 --> 00:19:35,280 Speaker 2: like maybe it's not as bad as it was at 353 00:19:35,280 --> 00:19:36,000 Speaker 2: the start of the year. 354 00:19:36,040 --> 00:19:39,119 Speaker 9: Now, yes, that's definitely what the numbers are showing. So 355 00:19:39,880 --> 00:19:42,480 Speaker 9: in our story, we have a wonderful chart. This data 356 00:19:42,520 --> 00:19:45,560 Speaker 9: comes from layoffs at Fyi, which is a hilarious site, 357 00:19:46,160 --> 00:19:49,119 Speaker 9: very well run by just a startup founder who started 358 00:19:49,160 --> 00:19:52,199 Speaker 9: during COVID collecting layoff numbers and putting them in this 359 00:19:52,240 --> 00:19:54,520 Speaker 9: wonderful data website. So you see a bit of a 360 00:19:54,520 --> 00:19:57,040 Speaker 9: peak right after the start of the pandemic, and then 361 00:19:57,080 --> 00:19:59,600 Speaker 9: a drop, and then it really started to pick up 362 00:19:59,680 --> 00:20:02,800 Speaker 9: midl last year and peaked in January, and now it's 363 00:20:02,800 --> 00:20:05,960 Speaker 9: actually leveling out. So probably it seems like the worst 364 00:20:06,000 --> 00:20:09,000 Speaker 9: is behind us, but it definitely has. You know, the 365 00:20:09,040 --> 00:20:10,720 Speaker 9: repercussions of this are going to be felt for a 366 00:20:10,800 --> 00:20:11,440 Speaker 9: very long time. 367 00:20:13,000 --> 00:20:13,600 Speaker 3: Joel Weber. 368 00:20:14,720 --> 00:20:17,840 Speaker 10: You know what I was, what I've been thinking about 369 00:20:18,000 --> 00:20:22,159 Speaker 10: ever since it felt like there was this real major 370 00:20:22,720 --> 00:20:25,600 Speaker 10: mood shift. Was just what that what that feels like 371 00:20:26,040 --> 00:20:30,080 Speaker 10: in the valley? Ellen, And I'm curious, like being there 372 00:20:30,760 --> 00:20:35,800 Speaker 10: feeling like you could do anything you wanted forever. How 373 00:20:35,840 --> 00:20:38,520 Speaker 10: are from the sources you spoke with, how is that 374 00:20:38,560 --> 00:20:39,520 Speaker 10: manifesting itself? 375 00:20:39,600 --> 00:20:41,080 Speaker 3: This decision? 376 00:20:41,200 --> 00:20:44,080 Speaker 9: Yeah, mood all sorts of ways. I mean, everyone knows, 377 00:20:44,240 --> 00:20:46,760 Speaker 9: you know, a lot of people are just getting laid off, 378 00:20:47,280 --> 00:20:49,479 Speaker 9: you know, in the way that people you know, generally 379 00:20:49,520 --> 00:20:52,320 Speaker 9: you might have expected that recruiters or people who work 380 00:20:52,359 --> 00:20:54,120 Speaker 9: in sales might be the first to go. This time, 381 00:20:54,119 --> 00:20:57,600 Speaker 9: it's like senior engineers have worked at firms like Google 382 00:20:57,680 --> 00:21:00,439 Speaker 9: for ten or fifteen years are getting laid off. There 383 00:21:00,440 --> 00:21:03,320 Speaker 9: are people who I know who just yeah, I've worked 384 00:21:03,320 --> 00:21:05,199 Speaker 9: at a company for you know, worked at Facebook for 385 00:21:05,280 --> 00:21:08,000 Speaker 9: ten years and are getting laid off and feeling this 386 00:21:08,440 --> 00:21:10,960 Speaker 9: sense that you know, I also have a friend who 387 00:21:11,160 --> 00:21:13,879 Speaker 9: considered leaving her job, but then was like, I just 388 00:21:13,920 --> 00:21:15,679 Speaker 9: don't think I'm going to get another good one right now, 389 00:21:15,680 --> 00:21:16,879 Speaker 9: so I'm going to stay at this job that I 390 00:21:16,920 --> 00:21:20,320 Speaker 9: don't super like. It's just this this kind of feeling 391 00:21:20,320 --> 00:21:24,359 Speaker 9: that is suffusing everywhere in the industry. And then, you know, 392 00:21:24,359 --> 00:21:27,520 Speaker 9: we had this wonderful conversation with this new grad Dylan, 393 00:21:27,640 --> 00:21:30,320 Speaker 9: who just graduated from Cornell with a CS degree, had 394 00:21:30,359 --> 00:21:33,960 Speaker 9: interned at all these great places Google, Facebook, Stripe, Figma, 395 00:21:34,119 --> 00:21:37,320 Speaker 9: and had a Google offer and then it was rescinded. 396 00:21:37,359 --> 00:21:42,120 Speaker 9: And it's just this sense that this dependable thing isn't 397 00:21:42,160 --> 00:21:44,879 Speaker 9: happening anymore, and you see it making people nervous, You 398 00:21:44,920 --> 00:21:47,399 Speaker 9: make you see them nervous to switch jobs or just 399 00:21:47,440 --> 00:21:49,679 Speaker 9: like you know, looking for jobs and not finding what 400 00:21:49,720 --> 00:21:52,920 Speaker 9: they want. And there is actually a pretty sense, you know, 401 00:21:52,920 --> 00:21:57,280 Speaker 9: a pretty big sense of fear among some people. Like Dylan. Again, 402 00:21:57,359 --> 00:21:59,080 Speaker 9: this new grad was talking about how some of his 403 00:21:59,560 --> 00:22:03,280 Speaker 9: peers are accepting multiple job offers because they're concerned that 404 00:22:03,320 --> 00:22:05,680 Speaker 9: one of them is going to get rescinded, and they 405 00:22:05,680 --> 00:22:06,920 Speaker 9: have reason to believe that it might. 406 00:22:07,080 --> 00:22:10,359 Speaker 10: That new grad phenomenon is the one that I find 407 00:22:10,840 --> 00:22:15,000 Speaker 10: most interesting, because these were the people like you were 408 00:22:15,080 --> 00:22:18,359 Speaker 10: just they were just getting swept up and money thrown 409 00:22:18,440 --> 00:22:21,320 Speaker 10: at them. And especially like in Dylan's case, he had 410 00:22:21,560 --> 00:22:26,120 Speaker 10: multiple internships at all the blue chip places. There's this 411 00:22:26,200 --> 00:22:28,960 Speaker 10: helpless quality that it must feel like to be in 412 00:22:29,040 --> 00:22:32,280 Speaker 10: that twenty something age. Ellen, And I'm curious when you 413 00:22:32,880 --> 00:22:35,399 Speaker 10: who's the most freaked out. The twenty somethings are the 414 00:22:35,440 --> 00:22:37,480 Speaker 10: people who have been in the industry for a little 415 00:22:37,520 --> 00:22:39,959 Speaker 10: bit and have you know, weather changed before. 416 00:22:40,880 --> 00:22:42,720 Speaker 9: I mean, they're freaked out in different ways. The twenty 417 00:22:42,760 --> 00:22:45,439 Speaker 9: somethings are like, wow, I really thought that I was 418 00:22:45,440 --> 00:22:48,840 Speaker 9: picking the most obvious, most stable, most high paying career 419 00:22:49,560 --> 00:22:52,040 Speaker 9: and now it's none of those things. Or I might 420 00:22:52,080 --> 00:22:54,639 Speaker 9: have to struggle to get a job. Meanwhile, you know, 421 00:22:54,680 --> 00:22:58,080 Speaker 9: I talked to someone who's telling me stories about peers 422 00:22:58,119 --> 00:23:00,560 Speaker 9: of his who are maybe in their forty or fifties, 423 00:23:00,560 --> 00:23:02,840 Speaker 9: who have worked in Silicon Valley during these boom times, 424 00:23:02,960 --> 00:23:05,199 Speaker 9: have gotten used to incredibly high cost of living in 425 00:23:05,240 --> 00:23:07,640 Speaker 9: places like New York and San Francisco, and are now 426 00:23:07,680 --> 00:23:11,120 Speaker 9: accustomed to a standard of living that may no longer 427 00:23:11,160 --> 00:23:13,960 Speaker 9: be accessible to them. Like I talked to a VC 428 00:23:14,040 --> 00:23:15,760 Speaker 9: who said his friend who had been laid off was 429 00:23:15,760 --> 00:23:18,880 Speaker 9: looking for a new job and his minimum salary requirement 430 00:23:18,960 --> 00:23:21,320 Speaker 9: was six hundred thousand dollars, and he was just like that, 431 00:23:21,400 --> 00:23:23,840 Speaker 9: you may not be able to find that anymore. And 432 00:23:24,320 --> 00:23:25,560 Speaker 9: if you're used to, you know, if you have kids 433 00:23:25,560 --> 00:23:28,320 Speaker 9: in private school, like you get these golden handcuffs, and 434 00:23:28,560 --> 00:23:31,480 Speaker 9: those people are scared too. I think they're experiencing a 435 00:23:31,600 --> 00:23:34,080 Speaker 9: shift in what they expected would be available. 436 00:23:34,119 --> 00:23:36,640 Speaker 2: Well, the thing is, Ellen, if you need to charter 437 00:23:36,760 --> 00:23:39,720 Speaker 2: a jet for a fishing trip in Alaska, you know 438 00:23:39,760 --> 00:23:41,240 Speaker 2: that's not cheap anymore. 439 00:23:42,240 --> 00:23:44,080 Speaker 10: It was never yeah, but now it's really not. 440 00:23:45,359 --> 00:23:48,399 Speaker 9: I really did appreciate. You know, there's a wonderful part 441 00:23:48,440 --> 00:23:50,399 Speaker 9: in the story where yeah, we kind of reminisce about 442 00:23:50,400 --> 00:23:52,800 Speaker 9: what the boom times looked like in Silicon Valley in 443 00:23:52,800 --> 00:23:55,040 Speaker 9: the mid twenty tens. It was out of control, right, 444 00:23:55,160 --> 00:23:57,800 Speaker 9: We're talking about perks and salaries and stock grants and 445 00:23:58,000 --> 00:24:00,960 Speaker 9: these kinds of things that were you know, these companies Facebook, Google, 446 00:24:00,960 --> 00:24:03,160 Speaker 9: they were just throwing money at their employees. In fact, 447 00:24:03,200 --> 00:24:07,400 Speaker 9: they would often hire promising workers simply to have them 448 00:24:07,640 --> 00:24:10,040 Speaker 9: kind of in their corner without a specific job for them. 449 00:24:10,080 --> 00:24:11,800 Speaker 9: So again I talked to this PC who had been 450 00:24:11,960 --> 00:24:14,639 Speaker 9: a product manager at Instagram in twenty fourteen when it 451 00:24:14,680 --> 00:24:17,119 Speaker 9: was owned by Facebook, and he said he was hired 452 00:24:17,640 --> 00:24:20,000 Speaker 9: as a product manager. He didn't have a job yet. 453 00:24:20,040 --> 00:24:23,560 Speaker 9: He was like going to be assigned to a team, 454 00:24:23,640 --> 00:24:28,960 Speaker 9: but just spent three months getting trained, spending an hour 455 00:24:29,119 --> 00:24:31,600 Speaker 9: every morning reading a novel over breakfast, and then having 456 00:24:31,640 --> 00:24:33,200 Speaker 9: some casual meetings. And then at the end of the 457 00:24:33,240 --> 00:24:36,359 Speaker 9: three months he was finally assigned a job. But he 458 00:24:36,400 --> 00:24:39,000 Speaker 9: spent you know, and knew of people who had been 459 00:24:39,200 --> 00:24:42,919 Speaker 9: hired just so that they wouldn't go work at a rival. 460 00:24:43,480 --> 00:24:47,040 Speaker 9: And that was that sense of money that really cremated 461 00:24:47,200 --> 00:24:49,440 Speaker 9: Silicon Valley for more than a decade. 462 00:24:49,600 --> 00:24:52,679 Speaker 6: It sounds like, sorry, Ellen, it just sounds like another 463 00:24:52,760 --> 00:24:57,119 Speaker 6: one of those things that goes away, and when we 464 00:24:57,160 --> 00:25:00,719 Speaker 6: don't have a zero interest rate environment, less of that 465 00:25:00,840 --> 00:25:06,560 Speaker 6: kind of just getting brought on. I mean, that's at Yeah, 466 00:25:07,320 --> 00:25:09,200 Speaker 6: I'm just being smart, you know what I mean. But 467 00:25:10,200 --> 00:25:13,760 Speaker 6: one thing that I'm curious about too is whether these 468 00:25:13,840 --> 00:25:18,679 Speaker 6: companies are sort of blaming AI to be able to 469 00:25:18,840 --> 00:25:22,199 Speaker 6: fire or lay off their employees and to kind of 470 00:25:22,200 --> 00:25:24,080 Speaker 6: get away with it. Yeah, did you did you find 471 00:25:24,080 --> 00:25:24,880 Speaker 6: that in your reporting? 472 00:25:25,600 --> 00:25:28,560 Speaker 9: There's definitely a sense that AI is like the idea 473 00:25:28,640 --> 00:25:30,280 Speaker 9: of the day, and so people are pointing to it 474 00:25:30,320 --> 00:25:33,479 Speaker 9: for different reasons, one of which is, yes, there are 475 00:25:33,480 --> 00:25:35,359 Speaker 9: some CEOs who over hired at the beginning of the 476 00:25:35,359 --> 00:25:36,960 Speaker 9: pandemic when it looked like tech was going to have 477 00:25:37,000 --> 00:25:40,440 Speaker 9: this boom time. Now they're seeing that that boom time 478 00:25:40,520 --> 00:25:42,280 Speaker 9: is not around, they're going to lay people off, and 479 00:25:42,280 --> 00:25:46,119 Speaker 9: they're citing not necessarily AI taking jobs, but just the 480 00:25:46,359 --> 00:25:49,280 Speaker 9: need to maybe realign the company in order to be 481 00:25:49,280 --> 00:25:51,639 Speaker 9: able to focus on AI, which then means that they 482 00:25:51,680 --> 00:25:53,439 Speaker 9: can cut some jobs. So it's a bit of a 483 00:25:53,480 --> 00:25:55,880 Speaker 9: face saving thing. It may also be a real thing 484 00:25:55,920 --> 00:25:58,720 Speaker 9: that companies are investing more energy into it. Of course, 485 00:25:58,760 --> 00:26:01,239 Speaker 9: in our story we also talked about it AI and 486 00:26:01,440 --> 00:26:06,040 Speaker 9: machine learning. Specialists in software engineering are getting paid twelve 487 00:26:06,080 --> 00:26:09,080 Speaker 9: percent on average more than other senior software engineers. There 488 00:26:09,200 --> 00:26:11,480 Speaker 9: is genuinely a desire to hire these types of people. 489 00:26:12,280 --> 00:26:15,040 Speaker 9: AI is not replacing jobs yet, but but there is 490 00:26:15,040 --> 00:26:17,600 Speaker 9: this feeling that it's going to shake things up, and 491 00:26:17,640 --> 00:26:20,520 Speaker 9: that that shakeup may lead to some new hiring and 492 00:26:20,560 --> 00:26:22,160 Speaker 9: areas and cuts in other places. 493 00:26:22,680 --> 00:26:24,920 Speaker 6: All right, Ellen, well, thank you so much, really appreciate 494 00:26:24,960 --> 00:26:27,640 Speaker 6: you joining us and the story, of course, which will 495 00:26:27,640 --> 00:26:30,320 Speaker 6: be featured in the forthcoming issue of BusinessWeek magazine. You 496 00:26:30,320 --> 00:26:32,760 Speaker 6: can read it now on the Bloomberg terminal and at 497 00:26:32,800 --> 00:26:38,240 Speaker 6: Bloomberg dot com slash BusinessWeek, m Marco. 498 00:26:39,880 --> 00:26:40,360 Speaker 1: Journal. 499 00:26:41,359 --> 00:26:42,360 Speaker 2: Now about you, let me drive? 500 00:26:42,640 --> 00:26:47,040 Speaker 10: Oh no, no, no, no, dreg honey please, I'll do the 501 00:26:47,160 --> 00:26:48,200 Speaker 10: riding gravels. 502 00:26:48,520 --> 00:26:49,880 Speaker 7: Let's mate, I want to drive. 503 00:26:49,880 --> 00:26:53,080 Speaker 3: It's a good question. 504 00:26:53,520 --> 00:26:54,280 Speaker 8: Good time. 505 00:26:57,320 --> 00:27:00,880 Speaker 1: Is the drive to the Globe dot com? Well try around, 506 00:27:01,040 --> 00:27:03,280 Speaker 1: Saga don on Bloomberg Radio. 507 00:27:04,480 --> 00:27:07,120 Speaker 6: All right, we're going to take our coverage from Miami 508 00:27:07,240 --> 00:27:09,760 Speaker 6: over to Wall Street. As you know, it's big week 509 00:27:09,840 --> 00:27:12,240 Speaker 6: for the economy. We've got that FED meeting tomorrow. Today, 510 00:27:12,240 --> 00:27:14,959 Speaker 6: we got CPI in a little better than expected depending 511 00:27:15,000 --> 00:27:16,600 Speaker 6: on how you look at it. A lot of other 512 00:27:16,680 --> 00:27:19,479 Speaker 6: data this week, and market consensus seems to be building 513 00:27:19,520 --> 00:27:22,040 Speaker 6: around tomorrow being a non rate hike day. But the 514 00:27:22,160 --> 00:27:24,320 Speaker 6: question is is it going to be a pause, a skip, 515 00:27:24,359 --> 00:27:27,720 Speaker 6: a stop, and how are markets responding to all those options? 516 00:27:27,720 --> 00:27:29,480 Speaker 6: So here to weigh in for our drive to the 517 00:27:29,480 --> 00:27:33,919 Speaker 6: close is Jeff Crumpleman. He's chief investment strategist at Mariner 518 00:27:34,040 --> 00:27:37,760 Speaker 6: Wealth Advisors. Jeff, great to speak with you. Let's just 519 00:27:37,800 --> 00:27:40,359 Speaker 6: start on your word choice here, pause or skip. 520 00:27:42,640 --> 00:27:47,240 Speaker 8: I think that it should be a pause, but you 521 00:27:47,280 --> 00:27:51,000 Speaker 8: know we're not paid to make judgments here, as you 522 00:27:51,040 --> 00:27:54,919 Speaker 8: know followers with the capital markets. I think it's fifty 523 00:27:54,960 --> 00:27:57,639 Speaker 8: to fifty between skip and pause. I did like the 524 00:27:57,720 --> 00:28:02,040 Speaker 8: CPI inflation data, and I were on the board, I 525 00:28:02,119 --> 00:28:05,320 Speaker 8: would I would say pause. I think that there's plenty 526 00:28:05,320 --> 00:28:09,080 Speaker 8: of evidence that inflation is calming, and that they've done 527 00:28:09,080 --> 00:28:10,960 Speaker 8: a lot of good work, and some of the lagging 528 00:28:11,040 --> 00:28:14,440 Speaker 8: data like rents and some of the pressures and the 529 00:28:14,480 --> 00:28:19,280 Speaker 8: services side that's been sticky, I think is showing signs 530 00:28:19,320 --> 00:28:23,359 Speaker 8: green shoots of calming as well. So I'd love to 531 00:28:23,359 --> 00:28:26,239 Speaker 8: see pause. I think that's what they should do, but 532 00:28:27,000 --> 00:28:29,560 Speaker 8: we'll just have to see. 533 00:28:30,080 --> 00:28:33,560 Speaker 2: But you know J Powell, and you know that he 534 00:28:33,600 --> 00:28:36,760 Speaker 2: doesn't want to be the next Arthur Burns, right. I mean, 535 00:28:36,920 --> 00:28:40,520 Speaker 2: the last thing that this FED boss wants is for 536 00:28:41,880 --> 00:28:44,920 Speaker 2: the FMC to pause and then for inflation to come 537 00:28:45,040 --> 00:28:50,800 Speaker 2: roaring back after after the they were behind the curve 538 00:28:50,880 --> 00:28:53,680 Speaker 2: for so long, he's gonna want to be ahead of 539 00:28:53,720 --> 00:28:58,000 Speaker 2: it now. So do you still think we can maintain 540 00:28:58,160 --> 00:29:00,560 Speaker 2: this rally in the face of a FA that at 541 00:29:00,640 --> 00:29:04,120 Speaker 2: least wants to be restrictive. 542 00:29:06,080 --> 00:29:07,360 Speaker 4: Yes, I do, and I've. 543 00:29:07,200 --> 00:29:11,160 Speaker 8: You know, we've been pretty steady and as my mom says, 544 00:29:11,240 --> 00:29:14,440 Speaker 8: moderation and all things. And I think our team has 545 00:29:14,520 --> 00:29:18,520 Speaker 8: exercised that. We've been pretty vocal about looking for a 546 00:29:18,880 --> 00:29:20,760 Speaker 8: forty five hundred target on the S and P five 547 00:29:20,840 --> 00:29:23,040 Speaker 8: hundred by a year in and we said, you know, 548 00:29:23,200 --> 00:29:26,440 Speaker 8: we're not sure the path to that. That it could 549 00:29:26,440 --> 00:29:28,360 Speaker 8: be three yards and a cloud of duster, it could 550 00:29:28,360 --> 00:29:33,880 Speaker 8: be volatility significantly throughout the year because of debt ceiling, 551 00:29:33,960 --> 00:29:36,239 Speaker 8: because of FED, because oh you know, we get some 552 00:29:36,760 --> 00:29:40,680 Speaker 8: funky inflation numbers from month to month. But absolutely, I 553 00:29:40,720 --> 00:29:44,360 Speaker 8: think through year end we can sustain the rally. Do 554 00:29:44,480 --> 00:29:47,280 Speaker 8: I think that we get a pause in the market, 555 00:29:47,760 --> 00:29:50,200 Speaker 8: because they're going to come out tomorrow and you know, 556 00:29:50,320 --> 00:29:52,160 Speaker 8: as they do pause, what are they going to do. 557 00:29:52,440 --> 00:29:55,400 Speaker 8: They're going to say, you know, our summary of economic projections, 558 00:29:55,480 --> 00:29:58,720 Speaker 8: the SEP, the everybody talks about, oh, we're taking our 559 00:29:58,760 --> 00:30:01,800 Speaker 8: target up from five point one to something a little higher, 560 00:30:02,480 --> 00:30:05,280 Speaker 8: and they're going to talk hawkish, and people are talking 561 00:30:05,320 --> 00:30:08,880 Speaker 8: about it being a hawkish pause. That's probably what's going 562 00:30:08,960 --> 00:30:11,360 Speaker 8: to happen. And you know what, the market, it'll probably 563 00:30:11,360 --> 00:30:13,400 Speaker 8: trade off a little bit on that after we've pushed 564 00:30:13,520 --> 00:30:17,520 Speaker 8: these twenty twenty three highs. But I don't think for long. 565 00:30:17,680 --> 00:30:19,960 Speaker 8: I think that the evidence the inflation will continue to 566 00:30:19,960 --> 00:30:22,080 Speaker 8: come down to FED Now it's going to be in 567 00:30:22,120 --> 00:30:25,960 Speaker 8: the ninth inning after they might do something in July, 568 00:30:26,080 --> 00:30:28,800 Speaker 8: but then they're really in the ninth inning, and earnings 569 00:30:29,400 --> 00:30:32,200 Speaker 8: are really solid and so is the so's the economy. 570 00:30:32,480 --> 00:30:37,720 Speaker 8: It's not so negative. So yeah, based upon fundamentals, valuation levels, 571 00:30:38,040 --> 00:30:41,600 Speaker 8: and what I see in the technical price trends, yeah, absolutely, 572 00:30:41,640 --> 00:30:46,200 Speaker 8: I think you can sustain the advance in the market through. 573 00:30:46,040 --> 00:30:46,680 Speaker 4: The end of the year. 574 00:30:46,720 --> 00:30:48,160 Speaker 6: All right, Well, you know what I'm going to ask 575 00:30:48,200 --> 00:30:51,160 Speaker 6: you next, which is the rally a little bit too narrow? 576 00:30:51,240 --> 00:30:53,760 Speaker 6: Is this just an AI boom that's going to fizzle 577 00:30:53,800 --> 00:30:54,880 Speaker 6: out before the end of the year. 578 00:30:56,640 --> 00:31:00,240 Speaker 8: You know, I think that that is just overdone. It 579 00:31:00,320 --> 00:31:04,600 Speaker 8: is true. You can lie. We all can lie with statistics, 580 00:31:04,640 --> 00:31:08,280 Speaker 8: and so people will immediately say, hey, the top eight 581 00:31:08,320 --> 00:31:11,200 Speaker 8: stocks and the S and P five hundred are all 582 00:31:11,240 --> 00:31:13,240 Speaker 8: of the return of the S and P five hundred 583 00:31:13,320 --> 00:31:17,080 Speaker 8: this year, implying that the other four hundred and ninety 584 00:31:17,120 --> 00:31:20,240 Speaker 8: two stocks plus in the S and P five hundred 585 00:31:20,360 --> 00:31:23,400 Speaker 8: are really not doing well. We find that there are 586 00:31:23,480 --> 00:31:27,600 Speaker 8: broad industry groups that actually are doing well. There are 587 00:31:27,680 --> 00:31:30,680 Speaker 8: a lot of stocks that are up twenty forty fifty percent. 588 00:31:30,760 --> 00:31:33,520 Speaker 8: We own a lot of them, and an example in 589 00:31:33,600 --> 00:31:39,160 Speaker 8: probably our most aggressive large and MidCap strategy, we're outperforming 590 00:31:39,200 --> 00:31:42,320 Speaker 8: the S and P five hundred this year, and we're 591 00:31:42,480 --> 00:31:46,840 Speaker 8: just kind of neutral or under own all those eight stocks. 592 00:31:47,440 --> 00:31:50,440 Speaker 8: So we own a number of technology stocks and consumer 593 00:31:50,480 --> 00:31:55,160 Speaker 8: discretionary stocks that are actually doing quite well and outperforming. 594 00:31:55,280 --> 00:31:59,760 Speaker 8: So I think it's misleading to think make the public 595 00:32:00,040 --> 00:32:03,080 Speaker 8: think that there are eight stocks doing well and everything 596 00:32:03,120 --> 00:32:05,480 Speaker 8: else is down. And I would add to that in 597 00:32:05,560 --> 00:32:09,440 Speaker 8: terms of momentum. Over the last three weeks, you've seen 598 00:32:09,480 --> 00:32:11,560 Speaker 8: a broadening in the market. Look at how small cats 599 00:32:11,600 --> 00:32:14,880 Speaker 8: are doing in June, and small caps own a lot 600 00:32:14,920 --> 00:32:18,600 Speaker 8: more in the financial and industrials area than the tech 601 00:32:18,840 --> 00:32:22,560 Speaker 8: laden s and P five hundred, So the trend is 602 00:32:22,600 --> 00:32:26,080 Speaker 8: getting broader. I have been disappointed. 603 00:32:26,280 --> 00:32:26,960 Speaker 4: That's not to. 604 00:32:26,880 --> 00:32:30,080 Speaker 8: Say that it hasn't been a little tougher because you've 605 00:32:30,120 --> 00:32:34,360 Speaker 8: had these mega CAF stocks do well. But you're starting 606 00:32:34,400 --> 00:32:37,400 Speaker 8: to see the broadening I think play out, and that's 607 00:32:37,440 --> 00:32:38,920 Speaker 8: a good thing. I feel good about that. 608 00:32:40,360 --> 00:32:40,720 Speaker 3: All right. 609 00:32:40,760 --> 00:32:45,520 Speaker 2: So if you're picking, if you're picking industry groups that 610 00:32:45,560 --> 00:32:49,440 Speaker 2: you like for the rest of the year, what's the 611 00:32:49,440 --> 00:32:52,320 Speaker 2: top of your list or is there anything specific, any 612 00:32:52,320 --> 00:32:55,320 Speaker 2: specific strategy that you think investors should deploy right now? 613 00:32:57,040 --> 00:33:00,479 Speaker 8: Yeah, I think that number one. This idea of blend 614 00:33:00,640 --> 00:33:05,920 Speaker 8: between growth and value is a smart thing. And you know, 615 00:33:06,040 --> 00:33:11,040 Speaker 8: last year, folks were saying long duration growth stocks are dead. Well, 616 00:33:11,080 --> 00:33:13,840 Speaker 8: they got hammered and they became very attractive going into 617 00:33:13,920 --> 00:33:17,160 Speaker 8: this year. So that's where we've picked up some of 618 00:33:17,200 --> 00:33:22,400 Speaker 8: these stocks that I've mentioned, the Deckers, the Tesla, you know, 619 00:33:22,880 --> 00:33:27,640 Speaker 8: a number of stocks within technology and consumer discretionary that 620 00:33:27,680 --> 00:33:30,760 Speaker 8: have been on the cheap CrowdStrike, we tooke up at 621 00:33:30,800 --> 00:33:32,920 Speaker 8: a very attractive level, and so on and so forth. 622 00:33:33,360 --> 00:33:36,040 Speaker 8: So you don't abandon growth. But I also think that 623 00:33:36,080 --> 00:33:40,479 Speaker 8: what's underappreciated in our economy are some of the cyclical stocks. 624 00:33:40,520 --> 00:33:44,040 Speaker 8: There is a capital spending boom that's going on, and 625 00:33:44,320 --> 00:33:46,560 Speaker 8: here in Cincinnati we're going to spend three and a 626 00:33:46,600 --> 00:33:50,720 Speaker 8: half billion dollars on rebuilding a bridge. And finally we're 627 00:33:50,800 --> 00:33:53,719 Speaker 8: reON shoring in the United States and building manufacturing plants 628 00:33:53,720 --> 00:33:57,200 Speaker 8: and construction. Employment is at all time highs despite all 629 00:33:57,200 --> 00:34:01,200 Speaker 8: this talk of recession. So to only United rental to 630 00:34:01,240 --> 00:34:06,040 Speaker 8: own a Bulkan materials, to own a HP in mining, 631 00:34:06,320 --> 00:34:09,040 Speaker 8: I think that it's important to have a blend of both. 632 00:34:09,400 --> 00:34:12,000 Speaker 6: Yeah, so real quickly in our final twenty seconds here 633 00:34:12,120 --> 00:34:15,720 Speaker 6: you mentioned CrowdStrike and in phase energy, cybersecurity, and solar. 634 00:34:15,840 --> 00:34:19,320 Speaker 6: There no mention of AI and either of their descriptions. 635 00:34:19,400 --> 00:34:22,319 Speaker 6: Tell me why you're going for them and not more 636 00:34:22,400 --> 00:34:25,239 Speaker 6: AI plays in our final twenty seconds. 637 00:34:25,400 --> 00:34:28,120 Speaker 8: Well, because you know, I believe in AI, but AI 638 00:34:28,280 --> 00:34:32,120 Speaker 8: benefits directly a very narrow set we own in Vidia. 639 00:34:32,280 --> 00:34:34,200 Speaker 8: I could talk about in Nvidia, but you know, I 640 00:34:34,239 --> 00:34:37,520 Speaker 8: think our audience needs to know more than just in Vidia. 641 00:34:37,600 --> 00:34:41,040 Speaker 8: And these are stocks that have tremendous catalysts and they 642 00:34:41,080 --> 00:34:45,799 Speaker 8: were absolutely obliterated in this myth that long duration is 643 00:34:45,840 --> 00:34:49,399 Speaker 8: dead and we need cybersecurity. You know, do you think 644 00:34:49,440 --> 00:34:53,200 Speaker 8: cybersecurity is going away? I don't think so. And all 645 00:34:53,280 --> 00:34:58,120 Speaker 8: those have the catalysts driven by the productiing cybersecurity and. 646 00:34:58,160 --> 00:35:01,320 Speaker 2: Other products, jet breaching, broading it out beyond in video. 647 00:35:01,400 --> 00:35:02,759 Speaker 3: It truly is a relief for us. 648 00:35:02,800 --> 00:35:05,000 Speaker 2: Thanks very much, Jeff Propleman coming to. 649 00:35:04,960 --> 00:35:06,120 Speaker 3: Us out of Cincinnati. 650 00:35:07,520 --> 00:35:12,160 Speaker 1: This is the Bloomberg Business Week podcast, available on Apple, Spotify, 651 00:35:12,280 --> 00:35:16,000 Speaker 1: and anywhere else you get your podcasts. Listen live weekday 652 00:35:16,040 --> 00:35:19,640 Speaker 1: afternoons from three to six Easterning on Bloomberg dot com, 653 00:35:19,680 --> 00:35:23,000 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business App. 654 00:35:23,080 --> 00:35:26,040 Speaker 1: You can also watch us live every weekday on YouTube 655 00:35:26,239 --> 00:35:28,120 Speaker 1: and always on the Bloomberg Journal